From ffb818aa58ef9c330c0bb88731bac8f2975298d8 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 11 Oct 2017 15:38:32 +0800 Subject: [PATCH 001/177] ignore ui tmp --- .gitignore | 1 + griffin-doc/measure-configuration-guide.md | 162 +++++++++++++++++++++ 2 files changed, 163 insertions(+) create mode 100644 griffin-doc/measure-configuration-guide.md diff --git a/.gitignore b/.gitignore index ad52fe537..ee478d874 100644 --- a/.gitignore +++ b/.gitignore @@ -31,6 +31,7 @@ ui/bower_components/* ui/node_modules/* ui/debug.log ui/package-lock.json +ui/tmp derby.log metastore_db diff --git a/griffin-doc/measure-configuration-guide.md b/griffin-doc/measure-configuration-guide.md new file mode 100644 index 000000000..9337831a7 --- /dev/null +++ b/griffin-doc/measure-configuration-guide.md @@ -0,0 +1,162 @@ + + +# Griffin Measure Configuration Guide +Griffin measure module needs two configuration files to define the parameters of execution, one is for environment, the other is for dq job. + +## Environment Parameters +``` +{ + "spark": { + "log.level": "WARN", + "checkpoint.dir": "hdfs:///griffin/streaming/cp", + "batch.interval": "5s", + "process.interval": "30s", + "config": { + "spark.task.maxFailures": 5, + "spark.streaming.kafkaMaxRatePerPartition": 1000, + "spark.streaming.concurrentJobs": 4 + } + }, + + "persist": [ + { + "type": "log", + "config": { + "max.log.lines": 100 + } + }, { + "type": "hdfs", + "config": { + "path": "hdfs:///griffin/streaming/persist", + "max.persist.lines": 10000, + "max.lines.per.file": 10000 + } + } + ], + + "info.cache": [ + { + "type": "zk", + "config": { + "hosts": ":2181", + "namespace": "griffin/infocache", + "lock.path": "lock", + "mode": "persist", + "init.clear": true, + "close.clear": false + } + } + ] +} +``` +Above lists environment parameters. + +- **spark**: This field configures spark and spark streaming parameters. + + log.level: Level of spark log. + + checkpoint.dir: Check point directory of spark streaming, for streaming mode. + + batch.interval: Interval of dumping streaming data, for streaming mode. + + process.interval: Interval of processing dumped streaming data, for streaming mode. + + config: Configuration of spark parameters. +- **persist**: This field configures list of metrics persist parameters, multiple persist ways are supported. + + type: Metrics persist type, "log", "hdfs" or "http". + + config: Configure parameters of each persist type. + * log persist + - max.log.lines: the max lines of log. + * hdfs persist + - path: hdfs path to persist metrics + - max.persist.lines: the max lines of total persist data. + - max.lines.per.file: the max lines of each persist file. + * http persist + - api: api to submit persist metrics. + - method: http method, "post" default. +- **info.cache**: This field configures list of information cache parameters, multiple cache ways are supported. It is only for streaming dq case. + + type: Information cache type, "zk" for zookeeper cache. + + config: Configure parameters of info cache type. + * zookeeper cache + - hosts: zookeeper hosts list as a string, separated by comma. + - namespace: namespace of cache info, "" default. + - lock.path: path of lock info, "lock" default. + - mode: create mode of zookeeper node, "persist" default. + - init.clear: clear cache info when initialize, true default. + - close.clear: clear cache info when close connection, false default. + + +## DQ Job Parameters +``` +{ + "name": "accu_batch", + + "process.type": "batch", + + "data.sources": [ + { + "name": "src", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "//.avro" + } + } + ] + }, { + "name": "tgt", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "//.avro" + } + } + ] + } + ], + + "evaluateRule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "accuracy", + "rule": "src.user_id = tgt.user_id AND upper(src.first_name) = upper(tgt.first_name) AND src.last_name = tgt.last_name", + "details": { + "source": "src", + "target": "tgt", + "miss.records": { + "name": "miss.records", + "persist.type": "record" + }, + "accuracy": { + "name": "accu", + "persist.type": "metric" + }, + "miss": "miss_count", + "total": "total_count", + "matched": "matched_count" + } + } + ] + } +} +``` +Above lists DQ job configure parameters. + +- \ No newline at end of file From 328a16701d5681961fbe3c824f3a033ea36010a4 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 24 Oct 2017 10:09:34 +0800 Subject: [PATCH 002/177] add comments --- griffin-doc/dsl-guide.md | 2 +- .../measure/rule/dsl/parser/BasicParser.scala | 41 +++++++++++++------ 2 files changed, 30 insertions(+), 13 deletions(-) diff --git a/griffin-doc/dsl-guide.md b/griffin-doc/dsl-guide.md index c668cb9f4..e7f856986 100644 --- a/griffin-doc/dsl-guide.md +++ b/griffin-doc/dsl-guide.md @@ -144,7 +144,7 @@ For example, the dsl rule is `source.cntry, source.id.count(), source.age.max() After the translation, the metrics will be persisted in table `profiling`. -## ALternative Rules +## Alternative Rules You can simply use Griffin DSL rule to describe your problem in DQ domain, for some complicate requirement, you can also use some alternative rules supported by Griffin. ### Spark sql diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala index 7d9646dc0..1b7c37464 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala @@ -48,15 +48,18 @@ trait BasicParser extends JavaTokenParsers with Serializable { * ::= nan * * -- selection -- - * ::= [ | | ]* - * ::= ("data source name registered") | + * ::= [ | | ]* []? + * ::= ("data source name registered") | | | * ::= "." | "[" "]" * ::= "[" "]" * ::= "." "(" []? [, ]* ")" * ::= * + * -- as alias -- + * ::= + * * -- math expr -- - * ::= | | | | "(" ")" + * ::= | | | "(" ")" []? * ::= []* * ::= [ ]+ * ::= @@ -69,7 +72,7 @@ trait BasicParser extends JavaTokenParsers with Serializable { * ::= []? * ::= []? * - * ::= | | | | | | "(" ")" + * ::= | | | | | | "(" ")" []? * ::= []* * ::= [ ]+ * ::= @@ -78,12 +81,22 @@ trait BasicParser extends JavaTokenParsers with Serializable { * = | * * -- function expr -- - * ::= "(" [] [, ]+ ")" + * ::= "(" [] [, ]+ ")" []? * ::= ("function name registered") * ::= * - * -- alias expr -- - * = + * -- clauses -- + * = [, ]* + * = + * = ("data source name registered") + * = + * = [ ]? + * = [ ]? + * = [ , ]* + * = + * + * -- combined clauses -- + * = [ ]+ [ ]+ [ ]+ [ ]+ [ ]+ */ protected def genDataSourceNamesParser(names: Seq[String]): Parser[String] = { @@ -181,8 +194,8 @@ trait BasicParser extends JavaTokenParsers with Serializable { /** * -- selection -- - * ::= [ | | ]* - * ::= ("data source name registered") | + * ::= [ | | ]* []? + * ::= ("data source name registered") | | | * ::= "." | "[" "]" * ::= "[" "]" * ::= "." "(" []? [, ]* ")" @@ -209,11 +222,15 @@ trait BasicParser extends JavaTokenParsers with Serializable { case _ ~ name ~ _ ~ args ~ _ => FunctionSelectExpr(name, args) } + /** + * -- as alias -- + * ::= + */ def asAlias: Parser[String] = AS ~> FieldName /** * -- math expr -- - * ::= | | | | "(" ")" + * ::= | | | "(" ")" []? * ::= []* * ::= [ ]+ * ::= @@ -248,7 +265,7 @@ trait BasicParser extends JavaTokenParsers with Serializable { * ::= []? * ::= []? * - * ::= | | | | | | "(" ")" + * ::= | | | | | | "(" ")" []? * ::= []* * ::= [ ]+ * ::= @@ -301,7 +318,7 @@ trait BasicParser extends JavaTokenParsers with Serializable { /** * -- function expr -- - * ::= "(" [] [, ]+ ")" + * ::= "(" [] [, ]+ ")" []? * ::= ("function name registered") * ::= */ From a68886b38793b4dac4d33f734749216c31f4b7a7 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 30 Oct 2017 14:19:57 +0800 Subject: [PATCH 003/177] add docker doc --- README.md | 22 +++++++--------- griffin-doc/docker/svc_msr/docker-compose.yml | 25 +++++++++++++++++++ 2 files changed, 34 insertions(+), 13 deletions(-) create mode 100644 griffin-doc/docker/svc_msr/docker-compose.yml diff --git a/README.md b/README.md index 0f23998d4..872c367fc 100644 --- a/README.md +++ b/README.md @@ -39,27 +39,23 @@ Snapshot: Release: ### How to run in docker -1. Install [docker](https://www.docker.com/). -2. Pull our built docker image. +1. Install [docker](https://docs.docker.com/engine/installation/) and [docker compose](https://docs.docker.com/compose/install/). +2. Pull our built docker image and elasticsearch image. ``` - docker pull bhlx3lyx7/griffin_demo:0.0.1 + docker pull bhlx3lyx7/svc_msr:0.1.6 + docker pull elasticsearch:5 ``` 3. Increase vm.max_map_count of your local machine, to use elasticsearch. ``` sysctl -w vm.max_map_count=262144 - ``` -4. Run this docker image, wait for about one minute, then griffin is ready. ``` - docker run -it -h sandbox --name griffin_demo -m 8G --memory-swap -1 \ - -p 32122:2122 -p 37077:7077 -p 36066:6066 -p 38088:8088 -p 38040:8040 \ - -p 33306:3306 -p 39000:9000 -p 38042:8042 -p 38080:8080 -p 37017:27017 \ - -p 39083:9083 -p 38998:8998 -p 39200:9200 bhlx3lyx7/griffin_demo:0.0.1 +4. Copy [docker-compose.yml](https://github.com/apache/incubator-griffin/blob/master/griffin-doc/docker/svc_msr/docker-compose.yml) to your work path. +5. In your work path, start docker containers by using docker compose, wait for about one minutes, then griffin service is ready. ``` -5. Now you can visit UI through your browser, login with account "test" and password "test" if required. + docker-compose up -d ``` - http://:38080/ - ``` - You can also follow the steps using UI [here](https://github.com/apache/incubator-griffin/blob/master/griffin-doc/dockerUIguide.md#webui-test-case-guide). +6. Now you can try griffin APIs by using postman after importing the [json files](https://github.com/apache/incubator-griffin/blob/master/griffin-doc/postman). + In which you need to modify the environment `BASE_PATH` value into `:38080`. ### How to deploy and run at local 1. Install jdk (1.8 or later versions). diff --git a/griffin-doc/docker/svc_msr/docker-compose.yml b/griffin-doc/docker/svc_msr/docker-compose.yml new file mode 100644 index 000000000..fd017a2b3 --- /dev/null +++ b/griffin-doc/docker/svc_msr/docker-compose.yml @@ -0,0 +1,25 @@ +griffin: + image: bhlx3lyx7/svc_msr:0.1.6 + hostname: griffin + links: + - es + environment: + ES_HOSTNAME: es + ports: + - 32122:2122 + - 38088:8088 + - 33306:3306 + - 38042:8042 + - 39083:9083 + - 38998:8998 + - 38080:8080 + tty: true + container_name: griffin + +es: + image: elasticsearch:5 + hostname: es + ports: + - 39200:9200 + - 39300:9300 + container_name: es \ No newline at end of file From 0be45fb85abec62999e320b4e9aaf94f5f77395d Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 30 Oct 2017 14:44:57 +0800 Subject: [PATCH 004/177] yml license --- griffin-doc/docker/svc_msr/docker-compose.yml | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/griffin-doc/docker/svc_msr/docker-compose.yml b/griffin-doc/docker/svc_msr/docker-compose.yml index fd017a2b3..a9e157117 100644 --- a/griffin-doc/docker/svc_msr/docker-compose.yml +++ b/griffin-doc/docker/svc_msr/docker-compose.yml @@ -1,3 +1,20 @@ +#Licensed to the Apache Software Foundation (ASF) under one +#or more contributor license agreements. See the NOTICE file +#distributed with this work for additional information +#regarding copyright ownership. The ASF licenses this file +#to you under the Apache License, Version 2.0 (the +#"License"); you may not use this file except in compliance +#with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +#Unless required by applicable law or agreed to in writing, +#software distributed under the License is distributed on an +#"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +#KIND, either express or implied. See the License for the +#specific language governing permissions and limitations +#under the License. + griffin: image: bhlx3lyx7/svc_msr:0.1.6 hostname: griffin From ee4e1e3e37f9d2e65a35ba3c24aa77c582873bad Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 30 Oct 2017 17:54:57 +0800 Subject: [PATCH 005/177] readme --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 872c367fc..0e69b1aab 100644 --- a/README.md +++ b/README.md @@ -45,6 +45,11 @@ Release: docker pull bhlx3lyx7/svc_msr:0.1.6 docker pull elasticsearch:5 ``` + You can pull the images faster through mirror acceleration if you are in China. + ``` + docker pull registry.docker-cn.com/bhlx3lyx7/svc_msr:0.1.6 + docker pull registry.docker-cn.com/elasticsearch:5 + ``` 3. Increase vm.max_map_count of your local machine, to use elasticsearch. ``` sysctl -w vm.max_map_count=262144 From 24d66c815cf374dbdaf7a42591a055c9bf3c5ceb Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 2 Nov 2017 14:36:18 +0800 Subject: [PATCH 006/177] docker readme --- README.md | 12 +- ...r-compose.yml => docker-compose-batch.yml} | 2 +- .../svc_msr/docker-compose-streaming.yml | 61 ++++++++++ griffin-doc/griffin-docker-guide.md | 105 ++++++++++++++++++ 4 files changed, 174 insertions(+), 6 deletions(-) rename griffin-doc/docker/svc_msr/{docker-compose.yml => docker-compose-batch.yml} (97%) create mode 100644 griffin-doc/docker/svc_msr/docker-compose-streaming.yml create mode 100644 griffin-doc/griffin-docker-guide.md diff --git a/README.md b/README.md index 0e69b1aab..452b3f217 100644 --- a/README.md +++ b/README.md @@ -40,28 +40,30 @@ Release: ### How to run in docker 1. Install [docker](https://docs.docker.com/engine/installation/) and [docker compose](https://docs.docker.com/compose/install/). -2. Pull our built docker image and elasticsearch image. +2. Pull our pre-built docker image and elasticsearch image. ``` docker pull bhlx3lyx7/svc_msr:0.1.6 - docker pull elasticsearch:5 + docker pull bhlx3lyx7/elasticsearch ``` You can pull the images faster through mirror acceleration if you are in China. ``` docker pull registry.docker-cn.com/bhlx3lyx7/svc_msr:0.1.6 - docker pull registry.docker-cn.com/elasticsearch:5 + docker pull registry.docker-cn.com/bhlx3lyx7/elasticsearch ``` 3. Increase vm.max_map_count of your local machine, to use elasticsearch. ``` sysctl -w vm.max_map_count=262144 ``` -4. Copy [docker-compose.yml](https://github.com/apache/incubator-griffin/blob/master/griffin-doc/docker/svc_msr/docker-compose.yml) to your work path. +4. Copy [docker-compose-batch.yml](https://github.com/apache/incubator-griffin/blob/master/griffin-doc/docker/svc_msr/docker-compose-batch.yml) to your work path. 5. In your work path, start docker containers by using docker compose, wait for about one minutes, then griffin service is ready. ``` - docker-compose up -d + docker-compose -f docker-compose-batch.yml up -d ``` 6. Now you can try griffin APIs by using postman after importing the [json files](https://github.com/apache/incubator-griffin/blob/master/griffin-doc/postman). In which you need to modify the environment `BASE_PATH` value into `:38080`. +More details about griffin docker [here](https://github.com/apache/incubator-griffin/blob/master/griffin-doc/griffin-docker-guide.md). + ### How to deploy and run at local 1. Install jdk (1.8 or later versions). 2. Install mysql. diff --git a/griffin-doc/docker/svc_msr/docker-compose.yml b/griffin-doc/docker/svc_msr/docker-compose-batch.yml similarity index 97% rename from griffin-doc/docker/svc_msr/docker-compose.yml rename to griffin-doc/docker/svc_msr/docker-compose-batch.yml index a9e157117..f54224744 100644 --- a/griffin-doc/docker/svc_msr/docker-compose.yml +++ b/griffin-doc/docker/svc_msr/docker-compose-batch.yml @@ -34,7 +34,7 @@ griffin: container_name: griffin es: - image: elasticsearch:5 + image: bhlx3lyx7/elasticsearch hostname: es ports: - 39200:9200 diff --git a/griffin-doc/docker/svc_msr/docker-compose-streaming.yml b/griffin-doc/docker/svc_msr/docker-compose-streaming.yml new file mode 100644 index 000000000..9fde13736 --- /dev/null +++ b/griffin-doc/docker/svc_msr/docker-compose-streaming.yml @@ -0,0 +1,61 @@ +#Licensed to the Apache Software Foundation (ASF) under one +#or more contributor license agreements. See the NOTICE file +#distributed with this work for additional information +#regarding copyright ownership. The ASF licenses this file +#to you under the Apache License, Version 2.0 (the +#"License"); you may not use this file except in compliance +#with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +#Unless required by applicable law or agreed to in writing, +#software distributed under the License is distributed on an +#"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +#KIND, either express or implied. See the License for the +#specific language governing permissions and limitations +#under the License. + +griffin: + image: bhlx3lyx7/svc_msr:0.1.6 + hostname: griffin + links: + - es + - zk + - kafka + environment: + ES_HOSTNAME: es + ZK_HOSTNAME: zk + KAFKA_HOSTNAME: kafka + ports: + - 32122:2122 + - 38088:8088 + - 33306:3306 + - 38042:8042 + - 39083:9083 + - 38998:8998 + - 38080:8080 + tty: true + container_name: griffin + +es: + image: bhlx3lyx7/elasticsearch + hostname: es + ports: + - 39200:9200 + container_name: es + +zk: + image: zookeeper:3.5 + hostname: zk + ports: + - 32181:2181 + container_name: zk + restart: always + +kafka: + image: bhlx3lyx7/kafka + hostname: kafka + ports: + - 39092:9092 + container_name: kafka + tty: true \ No newline at end of file diff --git a/griffin-doc/griffin-docker-guide.md b/griffin-doc/griffin-docker-guide.md new file mode 100644 index 000000000..1fb59804c --- /dev/null +++ b/griffin-doc/griffin-docker-guide.md @@ -0,0 +1,105 @@ + + +# Apache Griffin Docker Guide +Griffin docker images are pre-built on docker hub, users can pull them to try griffin in docker. + +## Preparation + +### Environment preparation +1. Install [docker](https://docs.docker.com/engine/installation/) and [docker compose](https://docs.docker.com/compose/install/). +2. Increase vm.max_map_count of your local machine, to use elasticsearch. + ``` + sysctl -w vm.max_map_count=262144 + ``` +3. Pull griffin pre-built docker images. + ``` + docker pull bhlx3lyx7/svc_msr:0.1.6 + docker pull bhlx3lyx7/elasticsearch + docker pull bhlx3lyx7/kafka + docker pull zookeeper:3.5 + ``` + Or you can pull the images faster through mirror acceleration if you are in China. + ``` + docker pull registry.docker-cn.com/bhlx3lyx7/svc_msr:0.1.6 + docker pull registry.docker-cn.com/bhlx3lyx7/elasticsearch + docker pull registry.docker-cn.com/bhlx3lyx7/kafka + docker pull registry.docker-cn.com/zookeeper:3.5 + ``` + The docker images are the griffin environment images. + - `bhlx3lyx7/svc_msr`: This image contains mysql, hadoop, hive, spark, livy, griffin service, griffin measure, and some prepared demo data, it works as a single node spark cluster, providing spark engine and griffin service. + - `bhlx3lyx7/elasticsearch`: This image is based on official elasticsearch, adding some configurations to enable cors requests, to provide elasticsearch service for metrics persist. + - `bhlx3lyx7/kafka`: This image contains kafka 0.8, and some demo streaming data, to provide streaming data source in streaming mode. + - `zookeeper:3.5`: This image is official zookeeper, to provide zookeeper service in streaming mode. + +### How to use griffin docker images in batch mode +1. Copy [docker-compose-batch.yml](https://github.com/apache/incubator-griffin/blob/master/griffin-doc/docker/svc_msr/docker-compose-batch.yml) to your work path. +2. In your work path, start docker containers by using docker compose, wait for about one minutes, then griffin service is ready. + ``` + docker-compose -f docker-compose-batch.yml up -d + ``` +3. Now you can try griffin APIs by using postman after importing the [json files](https://github.com/apache/incubator-griffin/blob/master/griffin-doc/postman). + In which you need to modify the environment `BASE_PATH` value into `:38080`. +4. You can try the api `Basic -> Get griffin version`, to make sure griffin service has started up. +5. Add an accuracy measure through api `Measures -> Add measure`, to create a measure in griffin. +6. Add a job to through api `jobs -> Add job`, to schedule a job to execute the measure. In the example, the schedule interval is 5 minutes. +7. After some minutes, you can get the metrics from elasticsearch. + ``` + curl -XGET ':39200/griffin/accuracy/_search?pretty&filter_path=hits.hits._source' -d '{"query":{"match_all":{}}, "sort": [{"tmst": {"order": "asc"}}]}' + ``` + +### How to use griffin docker images in streaming mode +1. Copy [docker-compose-streaming.yml](https://github.com/apache/incubator-griffin/blob/master/griffin-doc/docker/svc_msr/docker-compose-streaming.yml) to your work path. +2. In your work path, start docker containers by using docker compose, wait for about one minutes, then griffin service is ready. + ``` + docker-compose -f docker-compose-streaming.yml up -d + ``` +3. Enter the griffin docker container. + ``` + docker exec -it griffin bash + ``` +4. Switch into the measure directory. + ``` + cd ~/measure + ``` +5. Execute the script of streaming-accu, to execute streaming accuracy measurement. + ``` + ./streaming-accu.sh + ``` + You can trace the log in streaming-accu.log. + ``` + tail -f streaming-accu.log + ``` +6. Limited by the docker container resource, you can only execute accuracy or profiling separately. + If you want to try streaming profiling measurement, please kill the streaming-accu process first. + ``` + kill -9 `ps -ef | awk '/griffin-measure/{print $2}'` + ``` + Then clear the checkpoint directory and other related directories of last streaming job. + ``` + ./clear.sh + ``` + Execute the script of streaming-prof, to execute streaming profiling measurement. + ``` + ./streaming-prof.sh + ``` + You can trace the log in streaming-prof.log. + ``` + tail -f streaming-prof.log + ``` \ No newline at end of file From 88ef127ec43309f90c8218a06d3c0ba65fd8767f Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 2 Nov 2017 18:08:23 +0800 Subject: [PATCH 007/177] update test in service --- .../griffin/core/job/SparkSubmitJobTest.java | 2 +- .../core/measure/MeasureControllerTest.java | 16 +++++++-------- .../measure/MeasureOrgControllerTest.java | 3 +++ .../measure/MeasureOrgServiceImplTest.java | 10 +++++++--- .../core/measure/MeasureServiceImplTest.java | 20 +++++++++---------- .../core/metric/MetricControllerTest.java | 2 +- .../core/metric/MetricServiceImplTest.java | 2 +- 7 files changed, 31 insertions(+), 24 deletions(-) diff --git a/service/src/test/java/org/apache/griffin/core/job/SparkSubmitJobTest.java b/service/src/test/java/org/apache/griffin/core/job/SparkSubmitJobTest.java index 130e66d2b..92072e3ad 100644 --- a/service/src/test/java/org/apache/griffin/core/job/SparkSubmitJobTest.java +++ b/service/src/test/java/org/apache/griffin/core/job/SparkSubmitJobTest.java @@ -86,7 +86,7 @@ public void testExecute() throws Exception { JobExecutionContext context = mock(JobExecutionContext.class); JobDetail jd = createJobDetail(); given(context.getJobDetail()).willReturn(jd); - given(measureRepo.findOne(Long.valueOf(jd.getJobDataMap().getString("measureId")))).willReturn(createATestMeasure("view_item_hourly", "ebay")); + given(measureRepo.findOne(Long.valueOf(jd.getJobDataMap().getString("measureId")))).willReturn(createATestMeasure("view_item_hourly", "test")); given(restTemplate.postForObject(livyUri, new SparkJobDO(), String.class)).willReturn(result); given(jobInstanceRepo.save(new JobInstance())).willReturn(new JobInstance()); sparkSubmitJob.execute(context); diff --git a/service/src/test/java/org/apache/griffin/core/measure/MeasureControllerTest.java b/service/src/test/java/org/apache/griffin/core/measure/MeasureControllerTest.java index 5b9ca5b63..268029899 100644 --- a/service/src/test/java/org/apache/griffin/core/measure/MeasureControllerTest.java +++ b/service/src/test/java/org/apache/griffin/core/measure/MeasureControllerTest.java @@ -59,7 +59,7 @@ public void setup() { @Test public void testGetAllMeasures() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); given(service.getAllAliveMeasures()).willReturn(Arrays.asList(measure)); mvc.perform(get(URLHelper.API_VERSION_PATH + "/measures").contentType(MediaType.APPLICATION_JSON)) @@ -70,7 +70,7 @@ public void testGetAllMeasures() throws Exception { @Test public void testGetMeasuresById() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); given(service.getMeasureById(1L)).willReturn(measure); mvc.perform(get(URLHelper.API_VERSION_PATH + "/measure/1").contentType(MediaType.APPLICATION_JSON)) @@ -111,7 +111,7 @@ public void testDeleteMeasuresByIdForFail() throws Exception { @Test public void testUpdateMeasureForSuccess() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); String measureJson = new ObjectMapper().writeValueAsString(measure); given(service.updateMeasure(measure)).willReturn(GriffinOperationMessage.UPDATE_MEASURE_SUCCESS); @@ -123,7 +123,7 @@ public void testUpdateMeasureForSuccess() throws Exception { @Test public void testUpdateMeasureForNotFound() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); String measureJson = new ObjectMapper().writeValueAsString(measure); given(service.updateMeasure(measure)).willReturn(GriffinOperationMessage.RESOURCE_NOT_FOUND); @@ -136,7 +136,7 @@ public void testUpdateMeasureForNotFound() throws Exception { @Test public void testUpdateMeasureForFail() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); String measureJson = new ObjectMapper().writeValueAsString(measure); given(service.updateMeasure(measure)).willReturn(GriffinOperationMessage.UPDATE_MEASURE_FAIL); @@ -162,7 +162,7 @@ public void testGetAllMeasuresByOwner() throws Exception { @Test public void testCreateNewMeasureForSuccess() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); String measureJson = new ObjectMapper().writeValueAsString(measure); given(service.createMeasure(measure)).willReturn(GriffinOperationMessage.CREATE_MEASURE_SUCCESS); @@ -174,7 +174,7 @@ public void testCreateNewMeasureForSuccess() throws Exception { @Test public void testCreateNewMeasureForFailWithDuplicate() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); String measureJson = new ObjectMapper().writeValueAsString(measure); given(service.createMeasure(measure)).willReturn(GriffinOperationMessage.CREATE_MEASURE_FAIL_DUPLICATE); @@ -186,7 +186,7 @@ public void testCreateNewMeasureForFailWithDuplicate() throws Exception { @Test public void testCreateNewMeasureForFailWithSaveException() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); String measureJson = new ObjectMapper().writeValueAsString(measure); given(service.createMeasure(measure)).willReturn(GriffinOperationMessage.CREATE_MEASURE_FAIL); diff --git a/service/src/test/java/org/apache/griffin/core/measure/MeasureOrgControllerTest.java b/service/src/test/java/org/apache/griffin/core/measure/MeasureOrgControllerTest.java index 17e7e855c..372eac044 100644 --- a/service/src/test/java/org/apache/griffin/core/measure/MeasureOrgControllerTest.java +++ b/service/src/test/java/org/apache/griffin/core/measure/MeasureOrgControllerTest.java @@ -19,6 +19,7 @@ Licensed to the Apache Software Foundation (ASF) under one package org.apache.griffin.core.measure; +import org.apache.griffin.core.job.JobService; import org.apache.griffin.core.util.URLHelper; import org.junit.Test; import org.junit.runner.RunWith; @@ -50,6 +51,8 @@ public class MeasureOrgControllerTest { @MockBean private MeasureOrgService measureOrgService; + @MockBean + private JobService jobService; @Test public void testGetOrgs() throws Exception { diff --git a/service/src/test/java/org/apache/griffin/core/measure/MeasureOrgServiceImplTest.java b/service/src/test/java/org/apache/griffin/core/measure/MeasureOrgServiceImplTest.java index d55121ba8..dfb49d694 100644 --- a/service/src/test/java/org/apache/griffin/core/measure/MeasureOrgServiceImplTest.java +++ b/service/src/test/java/org/apache/griffin/core/measure/MeasureOrgServiceImplTest.java @@ -20,6 +20,7 @@ Licensed to the Apache Software Foundation (ASF) under one package org.apache.griffin.core.measure; +import org.apache.griffin.core.measure.entity.Measure; import org.apache.griffin.core.measure.repo.MeasureRepo; import org.junit.Test; import org.junit.runner.RunWith; @@ -27,6 +28,7 @@ Licensed to the Apache Software Foundation (ASF) under one import org.mockito.Mock; import org.springframework.test.context.junit4.SpringRunner; +import java.util.ArrayList; import java.util.Arrays; import java.util.List; import java.util.Map; @@ -65,9 +67,11 @@ public void testGetMetricNameListByOrg(){ @Test public void testGetMeasureNamesGroupByOrg(){ - List orgs = Arrays.asList("orgName"); - when(measureRepo.findOrganizations()).thenReturn(orgs); - when(measureRepo.findNameByOrganization(orgs.get(0))).thenReturn(Arrays.asList("measureName")); + Measure measure = new Measure("measure", "desc", "org", "proctype", "owner", null, null); + List measures = new ArrayList<>(); + measures.add(measure); + + when(measureRepo.findByDeleted(false)).thenReturn(measures); Map> map = service.getMeasureNamesGroupByOrg(); assertThat(map.size()).isEqualTo(1); diff --git a/service/src/test/java/org/apache/griffin/core/measure/MeasureServiceImplTest.java b/service/src/test/java/org/apache/griffin/core/measure/MeasureServiceImplTest.java index 524517abb..d1e4cd4bd 100644 --- a/service/src/test/java/org/apache/griffin/core/measure/MeasureServiceImplTest.java +++ b/service/src/test/java/org/apache/griffin/core/measure/MeasureServiceImplTest.java @@ -59,7 +59,7 @@ public void setup() { @Test public void testGetAllMeasures() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); given(measureRepo.findByDeleted(false)).willReturn(Arrays.asList(measure)); List measures = (List) service.getAllAliveMeasures(); assertThat(measures.size()).isEqualTo(1); @@ -68,7 +68,7 @@ public void testGetAllMeasures() throws Exception { @Test public void testGetMeasuresById() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); given(measureRepo.findOne(1L)).willReturn(measure); Measure m = service.getMeasureById(1); assertEquals(m.getName(), measure.getName()); @@ -77,7 +77,7 @@ public void testGetMeasuresById() throws Exception { @Test public void testDeleteMeasuresByIdForSuccess() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); given(measureRepo.exists(1L)).willReturn(true); given(measureRepo.findOne(1L)).willReturn(measure); doNothing().when(jobService).deleteJobsRelateToMeasure(measure); @@ -96,7 +96,7 @@ public void testDeleteMeasuresByIdForNotFound() throws Exception { @Test public void testCreateNewMeasureForSuccess() throws Exception { String measureName = "view_item_hourly"; - Measure measure = createATestMeasure(measureName, "ebay"); + Measure measure = createATestMeasure(measureName, "test"); given(measureRepo.findByNameAndDeleted(measureName, false)).willReturn(new LinkedList<>()); given(measureRepo.save(measure)).willReturn(measure); GriffinOperationMessage message = service.createMeasure(measure); @@ -106,7 +106,7 @@ public void testCreateNewMeasureForSuccess() throws Exception { @Test public void testCreateNewMeasureForFailWithDuplicate() throws Exception { String measureName = "view_item_hourly"; - Measure measure = createATestMeasure(measureName, "ebay"); + Measure measure = createATestMeasure(measureName, "test"); LinkedList list = new LinkedList<>(); list.add(measure); given(measureRepo.findByNameAndDeleted(measureName, false)).willReturn(list); @@ -117,7 +117,7 @@ public void testCreateNewMeasureForFailWithDuplicate() throws Exception { @Test public void testCreateNewMeasureForFailWithSaveException() throws Exception { String measureName = "view_item_hourly"; - Measure measure = createATestMeasure(measureName, "ebay"); + Measure measure = createATestMeasure(measureName, "test"); given(measureRepo.findByNameAndDeleted(measureName, false)).willReturn(new LinkedList<>()); given(measureRepo.save(measure)).willReturn(null); GriffinOperationMessage message = service.createMeasure(measure); @@ -127,7 +127,7 @@ public void testCreateNewMeasureForFailWithSaveException() throws Exception { @Test public void testGetAllMeasureByOwner() throws Exception { String owner = "test"; - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); measure.setId(1L); given(measureRepo.findByOwnerAndDeleted(owner, false)).willReturn(Arrays.asList(measure)); List list = service.getAliveMeasuresByOwner(owner); @@ -136,7 +136,7 @@ public void testGetAllMeasureByOwner() throws Exception { @Test public void testUpdateMeasureForSuccess() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); given(measureRepo.exists(measure.getId())).willReturn(true); given(measureRepo.save(measure)).willReturn(measure); GriffinOperationMessage message = service.updateMeasure(measure); @@ -145,7 +145,7 @@ public void testUpdateMeasureForSuccess() throws Exception { @Test public void testUpdateMeasureForNotFound() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); given(measureRepo.exists(measure.getId())).willReturn(false); GriffinOperationMessage message = service.updateMeasure(measure); assertEquals(message, GriffinOperationMessage.RESOURCE_NOT_FOUND); @@ -153,7 +153,7 @@ public void testUpdateMeasureForNotFound() throws Exception { @Test public void testUpdateMeasureForFailWithSaveException() throws Exception { - Measure measure = createATestMeasure("view_item_hourly", "ebay"); + Measure measure = createATestMeasure("view_item_hourly", "test"); given(measureRepo.exists(measure.getId())).willReturn(true); given(measureRepo.save(measure)).willThrow(Exception.class); GriffinOperationMessage message = service.updateMeasure(measure); diff --git a/service/src/test/java/org/apache/griffin/core/metric/MetricControllerTest.java b/service/src/test/java/org/apache/griffin/core/metric/MetricControllerTest.java index eb4d981cf..0e521ba69 100644 --- a/service/src/test/java/org/apache/griffin/core/metric/MetricControllerTest.java +++ b/service/src/test/java/org/apache/griffin/core/metric/MetricControllerTest.java @@ -54,7 +54,7 @@ public void setup() { @Test public void testGetOrgByMeasureName() throws Exception { String measureName = "default"; - String org = "ebay"; + String org = "test"; given(service.getOrgByMeasureName(measureName)).willReturn(org); mvc.perform(get(URLHelper.API_VERSION_PATH + "/metrics/org").param("measureName", measureName)) diff --git a/service/src/test/java/org/apache/griffin/core/metric/MetricServiceImplTest.java b/service/src/test/java/org/apache/griffin/core/metric/MetricServiceImplTest.java index c98f1e7d5..041e289c2 100644 --- a/service/src/test/java/org/apache/griffin/core/metric/MetricServiceImplTest.java +++ b/service/src/test/java/org/apache/griffin/core/metric/MetricServiceImplTest.java @@ -55,7 +55,7 @@ public void setup() { @Test public void testGetOrgByMeasureName() { String measureName = "default"; - String org = "ebay"; + String org = "test"; given(measureRepo.findOrgByName("default")).willReturn(org); assertEquals(service.getOrgByMeasureName(measureName), org); } From 7590589a55f4457ada079e3234147a6ed68472ad Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 3 Nov 2017 16:31:52 +0800 Subject: [PATCH 008/177] fix bug of org/measure/jobs --- .../org/apache/griffin/core/measure/MeasureOrgServiceImpl.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/service/src/main/java/org/apache/griffin/core/measure/MeasureOrgServiceImpl.java b/service/src/main/java/org/apache/griffin/core/measure/MeasureOrgServiceImpl.java index 9b08beea2..bd987a963 100644 --- a/service/src/main/java/org/apache/griffin/core/measure/MeasureOrgServiceImpl.java +++ b/service/src/main/java/org/apache/griffin/core/measure/MeasureOrgServiceImpl.java @@ -74,7 +74,7 @@ public Map>>> getMeasureWithJ String orgName = measure.getOrganization(); String measureName = measure.getName(); String measureId = measure.getId().toString(); - List> jobList = jobDetails.get(measureId); + List> jobList = jobDetails.getOrDefault(measureId, new ArrayList<>()); Map>> measureWithJobs = result.getOrDefault(orgName, new HashMap<>()); measureWithJobs.put(measureName, jobList); result.put(orgName, measureWithJobs); From 41e3a07479ea56ab749de386b092eec6f9ec0f33 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 3 Nov 2017 17:58:41 +0800 Subject: [PATCH 009/177] persist try --- .../griffin/measure/persist/HdfsPersist.scala | 12 +++++--- .../measure/persist/MultiPersists.scala | 30 +++++++++++++++++-- 2 files changed, 35 insertions(+), 7 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala index 431fe1031..61d0cded0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala @@ -184,8 +184,12 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: // } private def persistRecords(hdfsPath: String, records: Iterable[String]): Unit = { - val recStr = records.mkString("\n") - HdfsUtil.writeContent(hdfsPath, recStr) + try { + val recStr = records.mkString("\n") + HdfsUtil.writeContent(hdfsPath, recStr) + } catch { + case e: Throwable => error(e.getMessage) + } } def log(rt: Long, msg: String): Unit = { @@ -276,9 +280,9 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: // } def persistMetrics(metrics: Map[String, Any]): Unit = { - val json = JsonUtil.toJson(metrics) try { - info(s"${json}") + val json = JsonUtil.toJson(metrics) + println(s"hdfs persist metrics: ${json}") persistRecords(MetricsFile, json :: Nil) } catch { case e: Throwable => error(e.getMessage) diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala index 0b7c98c48..d698bb0eb 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala @@ -48,11 +48,35 @@ case class MultiPersists(persists: Iterable[Persist]) extends Persist { // def missRecords(records: RDD[String]): Unit = { persists.foreach(_.missRecords(records)) } // def matchRecords(records: RDD[String]): Unit = { persists.foreach(_.matchRecords(records)) } - def log(rt: Long, msg: String): Unit = { persists.foreach(_.log(rt, msg)) } + def log(rt: Long, msg: String): Unit = { + persists.foreach { persist => + try { + persist.log(rt, msg) + } catch { + case e: Throwable => error(s"log error: ${e.getMessage}") + } + } + } // def persistRecords(df: DataFrame, name: String): Unit = { persists.foreach(_.persistRecords(df, name)) } - def persistRecords(records: Iterable[String], name: String): Unit = { persists.foreach(_.persistRecords(records, name)) } + def persistRecords(records: Iterable[String], name: String): Unit = { + persists.foreach { persist => + try { + persist.persistRecords(records, name) + } catch { + case e: Throwable => error(s"persist records error: ${e.getMessage}") + } + } + } // def persistMetrics(metrics: Seq[String], name: String): Unit = { persists.foreach(_.persistMetrics(metrics, name)) } - def persistMetrics(metrics: Map[String, Any]): Unit = { persists.foreach(_.persistMetrics(metrics)) } + def persistMetrics(metrics: Map[String, Any]): Unit = { + persists.foreach { persist => + try { + persist.persistMetrics(metrics) + } catch { + case e: Throwable => error(s"persist metrics error: ${e.getMessage}") + } + } + } } From 4132fc291022b84f639a52ac4b1690dcb33c34e1 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 6 Nov 2017 14:00:28 +0800 Subject: [PATCH 010/177] start timestamp configuration --- .../griffin/measure/config/params/user/UserParam.scala | 1 + .../org/apache/griffin/measure/process/BatchDqProcess.scala | 2 +- .../scala/org/apache/griffin/measure/process/DqProcess.scala | 5 +++++ .../apache/griffin/measure/process/StreamingDqProcess.scala | 2 +- measure/src/test/resources/config-test-accuracy.json | 2 ++ 5 files changed, 10 insertions(+), 2 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala b/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala index e55d2b40c..173f8f4be 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala @@ -24,6 +24,7 @@ import org.apache.griffin.measure.config.params.Param @JsonInclude(Include.NON_NULL) case class UserParam( @JsonProperty("name") name: String, + @JsonProperty("timestamp") timestamp: Long, @JsonProperty("process.type") procType: String, @JsonProperty("data.sources") dataSources: List[DataSourceParam], @JsonProperty("evaluateRule") evaluateRuleParam: EvaluateRuleParam diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 737a43f10..dc8b79a1a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -65,7 +65,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { def run: Try[_] = Try { // start time - val startTime = new Date().getTime() + val startTime = getStartTime // get persists to persist measure result val persistFactory = PersistFactory(envParam.persistParams, metricName) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/DqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/DqProcess.scala index 50b04a8df..7ff29d63c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/DqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/DqProcess.scala @@ -37,4 +37,9 @@ trait DqProcess extends Loggable with Serializable { def retriable: Boolean + protected def getStartTime: Long = { + if (userParam.timestamp != null && userParam.timestamp > 0) { userParam.timestamp } + else { System.currentTimeMillis } + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala index a56794119..3fe8b3f78 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala @@ -82,7 +82,7 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { }) // start time - val startTime = new Date().getTime() + val startTime = getStartTime // get persists to persist measure result val persistFactory = PersistFactory(envParam.persistParams, metricName) diff --git a/measure/src/test/resources/config-test-accuracy.json b/measure/src/test/resources/config-test-accuracy.json index ecbdaaa8f..7f637a0b3 100644 --- a/measure/src/test/resources/config-test-accuracy.json +++ b/measure/src/test/resources/config-test-accuracy.json @@ -1,6 +1,8 @@ { "name": "accu_batch_test", + "timestamp": 12124214, + "process.type": "batch", "data.sources": [ From c826b71a192e95700057f95f8aed16280c70a665 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 6 Nov 2017 15:51:52 +0800 Subject: [PATCH 011/177] enhance as clause for selection clause --- .../measure/rule/dsl/expr/FunctionExpr.scala | 6 +++++- .../griffin/measure/rule/dsl/expr/SelectExpr.scala | 14 +++++++------- .../rule/adaptor/GriffinDslAdaptorTest.scala | 2 +- .../measure/rule/dsl/parser/BasicParserTest.scala | 2 +- .../griffin/measure/utils/HdfsUtilTest.scala | 2 +- 5 files changed, 15 insertions(+), 11 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala index b82fd96b1..e33b03dbb 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala @@ -25,5 +25,9 @@ case class FunctionExpr(functionName: String, args: Seq[Expr], aliasOpt: Option[ def desc: String = s"${functionName}(${args.map(_.desc).mkString(", ")})" def coalesceDesc: String = desc - def alias: Option[String] = if (aliasOpt.isEmpty) Some(functionName) else aliasOpt + def alias: Option[String] = { + if (aliasOpt.isEmpty) { + Some(functionName) + } else aliasOpt + } } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala index fd803a82c..d1cc86ed0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala @@ -18,8 +18,8 @@ under the License. */ package org.apache.griffin.measure.rule.dsl.expr -trait HeadExpr extends Expr { - +trait HeadExpr extends Expr with AliasableExpr { + def alias: Option[String] = None } case class DataSourceHeadExpr(name: String) extends HeadExpr { @@ -30,6 +30,7 @@ case class DataSourceHeadExpr(name: String) extends HeadExpr { case class FieldNameHeadExpr(field: String) extends HeadExpr { def desc: String = field def coalesceDesc: String = desc + override def alias: Option[String] = Some(field) } case class ALLSelectHeadExpr() extends HeadExpr { @@ -43,6 +44,7 @@ case class OtherHeadExpr(expr: Expr) extends HeadExpr { def desc: String = expr.desc def coalesceDesc: String = expr.coalesceDesc + override def alias: Option[String] = Some(expr.desc) } // ------------- @@ -68,7 +70,7 @@ case class IndexSelectExpr(index: Expr) extends SelectExpr { def desc: String = s"[${index.desc}]" def coalesceDesc: String = desc - def alias: Option[String] = Some(desc) + def alias: Option[String] = Some(index.desc) } case class FunctionSelectExpr(functionName: String, args: Seq[Expr]) extends SelectExpr { @@ -106,10 +108,8 @@ case class SelectionExpr(head: HeadExpr, selectors: Seq[SelectExpr], aliasOpt: O } def alias: Option[String] = { if (aliasOpt.isEmpty) { - selectors.lastOption match { - case Some(last) => last.alias - case _ => None - } + val aliasSeq = (head +: selectors).flatMap(_.alias) + if (aliasSeq.size > 0) Some(aliasSeq.mkString("_")) else None } else aliasOpt } } \ No newline at end of file diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 987a06051..809796433 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -36,7 +36,7 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w |{ | "dsl.type": "griffin-dsl", | "dq.type": "profiling", - | "rule": "source.age, (source.user_id.COUNT() + 1s) as cnt group by source.age having source.desc.count() > 5 or false order by user_id desc, user_name asc limit 5", + | "rule": "source.age, source.age.count(), (source.user_id.COUNT() + 1s) as cnt group by source.age having source.desc.count() > 5 or false order by user_id desc, user_name asc limit 5", | "details": { | "source": "source", | "profiling": { diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala index a1b9a83c5..5f13af790 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala @@ -90,7 +90,7 @@ class BasicParserTest extends FunSuite with Matchers with BeforeAndAfter { val result3 = parser.parseAll(parser.selection, rule3) result3.successful should be (true) result3.get.desc should be ("source[12].age") - result3.get.alias should be (Some("age")) + result3.get.alias should be (Some("12_age")) val rule4 = """source.name.func(target.name)""" val result4 = parser.parseAll(parser.selection, rule4) diff --git a/measure/src/test/scala/org/apache/griffin/measure/utils/HdfsUtilTest.scala b/measure/src/test/scala/org/apache/griffin/measure/utils/HdfsUtilTest.scala index 6a672d5bf..5b9490106 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/utils/HdfsUtilTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/utils/HdfsUtilTest.scala @@ -29,7 +29,7 @@ import org.junit.runner.RunWith import org.scalatest.junit.JUnitRunner import org.scalatest.{BeforeAndAfter, FunSuite, Matchers} -@RunWith(classOf[JUnitRunner]) +//@RunWith(classOf[JUnitRunner]) class HdfsUtilTest extends FunSuite with Matchers with BeforeAndAfter { private val seprator = "/" From 274e031fc295882f47f4322518644a1ab42edfbd Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 10 Nov 2017 14:45:58 +0800 Subject: [PATCH 012/177] fix alias bug about ` --- .../griffin/measure/rule/dsl/expr/SelectExpr.scala | 14 ++++++++++++-- .../rule/adaptor/GriffinDslAdaptorTest.scala | 2 +- 2 files changed, 13 insertions(+), 3 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala index d1cc86ed0..6525c8877 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala @@ -30,7 +30,12 @@ case class DataSourceHeadExpr(name: String) extends HeadExpr { case class FieldNameHeadExpr(field: String) extends HeadExpr { def desc: String = field def coalesceDesc: String = desc - override def alias: Option[String] = Some(field) + override def alias: Option[String] = { + val innerField = if (field.startsWith("`") && field.endsWith("`")) { + field.substring(1, field.length - 1) + } else field + Some(innerField) + } } case class ALLSelectHeadExpr() extends HeadExpr { @@ -61,7 +66,12 @@ case class AllFieldsSelectExpr() extends SelectExpr { case class FieldSelectExpr(field: String) extends SelectExpr { def desc: String = s".${field}" def coalesceDesc: String = desc - def alias: Option[String] = Some(field) + override def alias: Option[String] = { + val innerField = if (field.startsWith("`") && field.endsWith("`")) { + field.substring(1, field.length - 1) + } else field + Some(innerField) + } } case class IndexSelectExpr(index: Expr) extends SelectExpr { diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 809796433..4d51691fb 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -36,7 +36,7 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w |{ | "dsl.type": "griffin-dsl", | "dq.type": "profiling", - | "rule": "source.age, source.age.count(), (source.user_id.COUNT() + 1s) as cnt group by source.age having source.desc.count() > 5 or false order by user_id desc, user_name asc limit 5", + | "rule": "source.age, source.`age`.count(), (source.user_id.COUNT() + 1s) as cnt group by source.age having source.desc.count() > 5 or false order by user_id desc, user_name asc limit 5", | "details": { | "source": "source", | "profiling": { From cdcef455b567bff6985b2a8243eb9a957f810799 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 16 Nov 2017 10:56:28 +0800 Subject: [PATCH 013/177] update regex --- .../apache/griffin/measure/rule/dsl/parser/BasicParser.scala | 4 ++-- .../scala/org/apache/griffin/measure/utils/TimeUtil.scala | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala index 1b7c37464..c6b1a5464 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala @@ -159,8 +159,8 @@ trait BasicParser extends JavaTokenParsers with Serializable { import Operator._ object Strings { - def AnyString: Parser[String] = """"(?:[^\"]|\")*"""".r | """'(?:[^']|\')*'""".r - def UQuoteTableFieldName: Parser[String] = """`(?:[^`]|[\\][`])*`""".r + def AnyString: Parser[String] = """"(?:\"|[^\"])*"""".r | """'(?:\'|[^'])*'""".r + def UQuoteTableFieldName: Parser[String] = """`(?:[\\][`]|[^`])*`""".r def FieldName: Parser[String] = UQuoteTableFieldName | """[a-zA-Z_]\w*""".r def DataSourceName: Parser[String] = genDataSourceNamesParser(dataSourceNames) def FunctionName: Parser[String] = genFunctionNamesParser(functionNames) diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala index fe721d2bd..a8c079b85 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala @@ -22,7 +22,7 @@ import scala.util.{Failure, Success, Try} object TimeUtil { - final val TimeRegex = """^([+\-]?\d+)(d|h|m|s|ms)$""".r + final val TimeRegex = """^([+\-]?\d+)(ms|s|m|h|d)$""".r final val PureTimeRegex = """^([+\-]?\d+)$""".r def milliseconds(timeString: String): Option[Long] = { From c553087f3434ac28bd6e2e313dc0ba29f593e12d Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 20 Nov 2017 10:58:37 +0800 Subject: [PATCH 014/177] collectable --- .../measure/process/StreamingDqThread.scala | 6 +- .../process/engine/DataFrameOprEngine.scala | 5 +- .../measure/process/engine/DqEngine.scala | 2 + .../measure/process/engine/DqEngines.scala | 1 - .../process/engine/SparkDqEngine.scala | 120 +++++++++--------- .../process/engine/SparkSqlEngine.scala | 2 + .../rule/adaptor/GriffinDslAdaptor.scala | 5 +- 7 files changed, 74 insertions(+), 67 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index df1cc1b53..c90e57241 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -83,9 +83,9 @@ case class StreamingDqThread(dqEngines: DqEngines, } val lt = new Date().getTime - val collectoRddTimeStr = s"collect records using time: ${lt - rt} ms" - println(collectoRddTimeStr) - appPersist.log(lt, collectoRddTimeStr) + val collectRddTimeStr = s"collect records using time: ${lt - rt} ms" + println(collectRddTimeStr) + appPersist.log(lt, collectRddTimeStr) // persist records dqEngines.persistAllRecords(rdds, persistFactory) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index b409b8de9..c3205b590 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -96,12 +96,13 @@ object DataFrameOprs { val _miss = "miss" val _total = "total" val _matched = "matched" - val _tmst = "tmst" +// val _tmst = "tmst" val dfName = details.getOrElse(_dfName, _dfName).toString val miss = details.getOrElse(_miss, _miss).toString val total = details.getOrElse(_total, _total).toString val matched = details.getOrElse(_matched, _matched).toString - val tmst = details.getOrElse(_tmst, _tmst).toString +// val tmst = details.getOrElse(_tmst, _tmst).toString + val tmst = GroupByColumn.tmst val updateTime = new Date().getTime diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index 84d591774..e28dfa435 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -31,6 +31,8 @@ trait DqEngine extends Loggable with Serializable { def runRuleStep(ruleStep: ConcreteRuleStep): Boolean + protected def collectable(): Boolean = false + def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] // def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 1bafa1532..1af2ae346 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -143,7 +143,6 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { val ret = engines.foldLeft(Map[Long, Map[String, Any]]()) { (ret, engine) => ret ++ engine.collectMetrics(ruleStep) } -// if (ret.isEmpty) warn(s"collect metrics warn: no metrics collected for ${ruleStep}") ret } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index ee994fdc2..e8a7b164d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -31,81 +31,85 @@ trait SparkDqEngine extends DqEngine { val sqlContext: SQLContext def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] = { - val emptyMap = Map[String, Any]() - ruleStep match { - case step: ConcreteRuleStep if (step.persistType == MetricPersistType) => { - val name = step.name - try { - val pdf = sqlContext.table(s"`${name}`") - val records = pdf.toJSON.collect() + if (collectable) { + val emptyMap = Map[String, Any]() + ruleStep match { + case step: ConcreteRuleStep if (step.persistType == MetricPersistType) => { + val name = step.name + try { + val pdf = sqlContext.table(s"`${name}`") + val records = pdf.toJSON.collect() - val pairs = records.flatMap { rec => - try { - val value = JsonUtil.toAnyMap(rec) - value.get(GroupByColumn.tmst) match { - case Some(t) => { - val key = t.toString.toLong - Some((key, value)) + val pairs = records.flatMap { rec => + try { + val value = JsonUtil.toAnyMap(rec) + value.get(GroupByColumn.tmst) match { + case Some(t) => { + val key = t.toString.toLong + Some((key, value)) + } + case _ => None } - case _ => None + } catch { + case e: Throwable => None } - } catch { - case e: Throwable => None } - } - val groupedPairs = pairs.foldLeft(Map[Long, Seq[Map[String, Any]]]()) { (ret, pair) => - val (k, v) = pair - ret.get(k) match { - case Some(seq) => ret + (k -> (seq :+ v)) - case _ => ret + (k -> (v :: Nil)) + val groupedPairs = pairs.foldLeft(Map[Long, Seq[Map[String, Any]]]()) { (ret, pair) => + val (k, v) = pair + ret.get(k) match { + case Some(seq) => ret + (k -> (seq :+ v)) + case _ => ret + (k -> (v :: Nil)) + } } - } - groupedPairs.mapValues { vs => - if (vs.size > 1) { - Map[String, Any]((name -> vs)) - } else { - vs.headOption.getOrElse(emptyMap) + groupedPairs.mapValues { vs => + if (vs.size > 1) { + Map[String, Any]((name -> vs)) + } else { + vs.headOption.getOrElse(emptyMap) + } + } + } catch { + case e: Throwable => { + error(s"collect metrics ${name} error: ${e.getMessage}") + Map[Long, Map[String, Any]]() } - } - } catch { - case e: Throwable => { - error(s"collect metrics ${name} error: ${e.getMessage}") - Map[Long, Map[String, Any]]() } } + case _ => Map[Long, Map[String, Any]]() } - case _ => Map[Long, Map[String, Any]]() - } + } else Map[Long, Map[String, Any]]() } def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long] ): Option[RDD[(Long, Iterable[String])]] = { - ruleStep match { - case step: ConcreteRuleStep if ((step.persistType == RecordPersistType) - || (step.updateDataSource.nonEmpty)) => { - val name = step.name - try { - val pdf = sqlContext.table(s"`${name}`") - val cols = pdf.columns - val rdd = pdf.flatMap { row => - val values = cols.flatMap { col => - Some((col, row.getAs[Any](col))) - }.toMap - values.get(GroupByColumn.tmst) match { - case Some(t: Long) if (timeGroups.exists(_ == t)) => Some((t, JsonUtil.toJson(values))) - case _ => None + if (collectable) { + ruleStep match { + case step: ConcreteRuleStep if ((step.persistType == RecordPersistType) + || (step.updateDataSource.nonEmpty)) => { + val name = step.name + try { + val pdf = sqlContext.table(s"`${name}`") + val cols = pdf.columns + val rdd = pdf.flatMap { row => + val values = cols.flatMap { col => + Some((col, row.getAs[Any](col))) + }.toMap + values.get(GroupByColumn.tmst) match { + case Some(t: Long) if (timeGroups.exists(_ == t)) => Some((t, JsonUtil.toJson(values))) + case _ => None + } + }.groupByKey() + Some(rdd) + } catch { + case e: Throwable => { + error(s"collect records ${name} error: ${e.getMessage}") + None } - }.groupByKey() - Some(rdd) - } catch { - case e: Throwable => { - error(s"collect records ${name} error: ${e.getMessage}") - None } } + case _ => None } - case _ => None - } + } else None } // def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index 15df3b51b..9c47d7713 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -33,6 +33,8 @@ import org.apache.spark.streaming.StreamingContext case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { + override protected def collectable(): Boolean = true + def runRuleStep(ruleStep: ConcreteRuleStep): Boolean = { ruleStep match { case SparkSqlStep(name, rule, _, _, _) => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 8199d80a1..1e3ecb12e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -230,7 +230,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], |`${totalTableName}`.`${totalColName}` AS `${totalColName}` |FROM `${totalTableName}` FULL JOIN `${missTableName}` |ON `${totalTableName}`.`${GroupByColumn.tmst}` = `${missTableName}`.`${GroupByColumn.tmst}` - """.stripMargin + """.stripMargin } val accuracyMetricName = resultName(details, AccuracyInfo._Accuracy) val accuracyMetricStep = SparkSqlStep( @@ -250,8 +250,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], ("df.name" -> accuracyMetricName), ("miss" -> missColName), ("total" -> totalColName), - ("matched" -> matchedColName), - ("tmst" -> GroupByColumn.tmst) + ("matched" -> matchedColName) ), resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType), None From 1db9b2156802cc67936d3887a1ff93f354fa59de Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 20 Nov 2017 11:08:28 +0800 Subject: [PATCH 015/177] partitions -> where --- .../batch/HiveBatchDataConnector.scala | 31 +++++++++---------- measure/src/test/resources/config1.json | 4 +-- 2 files changed, 17 insertions(+), 18 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala index 20c9e2488..cf51d6cce 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala @@ -41,23 +41,24 @@ case class HiveBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngines, val Database = "database" val TableName = "table.name" - val Partitions = "partitions" + val Where = "where" val database = config.getString(Database, "default") val tableName = config.getString(TableName, "") - val partitionsString = config.getString(Partitions, "") + val whereString = config.getString(Where, "") val concreteTableName = s"${database}.${tableName}" // val partitions = partitionsString.split(";").map(s => s.split(",").map(_.trim)) - val partitions: Array[Array[String]] = partitionsString.split(";").flatMap { s => - val arr = s.trim.split(",").flatMap { t => - t.trim match { - case p if (p.nonEmpty) => Some(p) - case _ => None - } - } - if (arr.size > 0) Some(arr) else None - } + val wheres = whereString.split(",").map(_.trim).filter(_.nonEmpty) +// val wheres: Array[Array[String]] = whereString.split(",").flatMap { s => +// val arr = s.trim.split(",").flatMap { t => +// t.trim match { +// case p if (p.nonEmpty) => Some(p) +// case _ => None +// } +// } +// if (arr.size > 0) Some(arr) else None +// } def data(ms: Long): Option[DataFrame] = { try { @@ -143,11 +144,9 @@ case class HiveBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngines, private def dataSql(): String = { val tableClause = s"SELECT * FROM ${concreteTableName}" - val validPartitions = partitions.filter(_.size > 0) - if (validPartitions.size > 0) { - val clauses = validPartitions.map { prtn => - val cls = prtn.mkString(" AND ") - s"${tableClause} WHERE ${cls}" + if (wheres.size > 0) { + val clauses = wheres.map { w => + s"${tableClause} WHERE ${w}" } clauses.mkString(" UNION ALL ") } else tableClause diff --git a/measure/src/test/resources/config1.json b/measure/src/test/resources/config1.json index 16c265d93..883f4e270 100644 --- a/measure/src/test/resources/config1.json +++ b/measure/src/test/resources/config1.json @@ -9,7 +9,7 @@ "version": "1.2", "config": { "table.name": "rheos_view_event", - "partitions": "dt=20170410, hour=15" + "where": "dt=20170410 AND hour=15" } }, @@ -18,7 +18,7 @@ "version": "1.2", "config": { "table.name": "be_view_event_queue", - "partitions": "dt=20170410, hour=15; dt=20170410, hour=16" + "where": "dt=20170410 AND hour=15, dt=20170410 AND hour=16" } }, From fc533a78c1de9b5e6c91151900d795388d43211a Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 20 Nov 2017 13:13:44 +0800 Subject: [PATCH 016/177] es docker add 9300 mapping --- griffin-doc/docker/svc_msr/docker-compose-streaming.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/griffin-doc/docker/svc_msr/docker-compose-streaming.yml b/griffin-doc/docker/svc_msr/docker-compose-streaming.yml index 9fde13736..8c22b647f 100644 --- a/griffin-doc/docker/svc_msr/docker-compose-streaming.yml +++ b/griffin-doc/docker/svc_msr/docker-compose-streaming.yml @@ -42,6 +42,7 @@ es: hostname: es ports: - 39200:9200 + - 39300:9300 container_name: es zk: From ffca474355be0d8c3ab8b3a99181fb8616ea6ebd Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 20 Nov 2017 14:08:53 +0800 Subject: [PATCH 017/177] regex matches --- .../org/apache/griffin/measure/rule/udf/GriffinUdfs.scala | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala index 11e8c8fe4..37d2a5aa7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala @@ -24,10 +24,15 @@ object GriffinUdfs { def register(sqlContext: SQLContext): Unit = { sqlContext.udf.register("index_of", indexOf) + sqlContext.udf.register("matches", matches) } private val indexOf = (arr: Seq[String], v: String) => { arr.indexOf(v) } + private val matches = (s: String, regex: String) => { + s.matches(regex) + } + } \ No newline at end of file From f5200e8f782d5052ef601bf85b10675f12e9013f Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 20 Nov 2017 14:16:59 +0800 Subject: [PATCH 018/177] update ignore --- .gitignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.gitignore b/.gitignore index 9270ccc4a..9de233118 100644 --- a/.gitignore +++ b/.gitignore @@ -36,3 +36,5 @@ ui/tmp derby.log metastore_db + +measure/src/test/scala/org/apache/griffin/measure/process/*ProcessTest.scala From 32c02ea7475de6174d0889e89ef8d3b797d98c12 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 21 Nov 2017 15:13:03 +0800 Subject: [PATCH 019/177] not finished for tmst ignoring --- .../data/connector/DataConnector.scala | 4 +- .../measure/process/BatchDqProcess.scala | 2 +- .../measure/process/StreamingDqThread.scala | 2 +- .../rule/adaptor/GriffinDslAdaptor.scala | 533 ++++++++++++------ .../rule/adaptor/RuleAdaptorGroup.scala | 16 +- .../resources/config-test-profiling1.json | 36 ++ .../rule/adaptor/GriffinDslAdaptorTest.scala | 37 +- 7 files changed, 442 insertions(+), 188 deletions(-) create mode 100644 measure/src/test/resources/config-test-profiling1.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 534fb1bc4..93f1d0150 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -22,6 +22,7 @@ import java.util.concurrent.atomic.AtomicLong import org.apache.griffin.measure.config.params.user.DataConnectorParam import org.apache.griffin.measure.log.Loggable +import org.apache.griffin.measure.process.{BatchDqProcess, BatchProcessType} import org.apache.griffin.measure.process.engine._ import org.apache.griffin.measure.rule.adaptor.{PreProcPhase, RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.dsl._ @@ -63,7 +64,8 @@ trait DataConnector extends Loggable with Serializable { df.registerTempTable(thisTable) // generate rule steps - val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps(preProcRules, DslType("spark-sql"), PreProcPhase) + val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps(preProcRules, + DslType("spark-sql"), BatchProcessType, PreProcPhase) // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index dc8b79a1a..37b11f37e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -86,7 +86,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { dqEngines.loadData(dataSources, startTime) // generate rule steps - val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps(userParam.evaluateRuleParam, RunPhase) + val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps(userParam.evaluateRuleParam, BatchProcessType, RunPhase) // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index c90e57241..7fb1ef426 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -56,7 +56,7 @@ case class StreamingDqThread(dqEngines: DqEngines, dqEngines.loadData(dataSources, st) // generate rule steps - val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps(evaluateRuleParam, RunPhase) + val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps(evaluateRuleParam, StreamingProcessType, RunPhase) // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 1e3ecb12e..25bc4fdff 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -19,6 +19,7 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.data.connector.GroupByColumn +import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.dsl.analyzer._ import org.apache.griffin.measure.rule.dsl.expr._ @@ -28,6 +29,7 @@ import org.apache.griffin.measure.utils.ParamUtil._ case class GriffinDslAdaptor(dataSourceNames: Seq[String], functionNames: Seq[String], + procType: ProcessType, adaptPhase: AdaptPhase ) extends RuleAdaptor { @@ -113,6 +115,17 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } + private def checkDataSourceExists(name: String): Boolean = { + try { + RuleAdaptorGroup.dataChecker.existDataSourceName(name) + } catch { + case e: Throwable => { + error(s"check data source exists error: ${e.getMessage}") + false + } + } + } + def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] = { ruleStep match { case rs @ GriffinDslStep(_, rule, dqType, _) => { @@ -149,190 +162,369 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - private def transConcreteRuleSteps(ruleStep: GriffinDslStep, expr: Expr + private def transAccuracyRuleStep(details: Map[String, Any], expr: Expr + ): Seq[ConcreteRuleStep] = { + val sourceName = getNameOpt(details, AccuracyInfo._Source).getOrElse(dataSourceNames.head) + val targetName = getNameOpt(details, AccuracyInfo._Target).getOrElse(dataSourceNames.tail.head) + val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) + if (!checkDataSourceExists(sourceName)) { + Nil + } else { + // 1. miss record + val missRecordsSql = if (!checkDataSourceExists(targetName)) { + val selClause = s"`${sourceName}`.*" + s"SELECT ${selClause} FROM `${sourceName}`" + } else { + val selClause = s"`${sourceName}`.*" + val onClause = expr.coalesceDesc + val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => + s"${sel.desc} IS NULL" + }.mkString(" AND ") + val targetIsNull = analyzer.targetSelectionExprs.map { sel => + s"${sel.desc} IS NULL" + }.mkString(" AND ") + val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" + s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" + } + val missRecordsName = resultName(details, AccuracyInfo._MissRecords) + val missRecordsStep = SparkSqlStep( + missRecordsName, + missRecordsSql, + Map[String, Any](), + resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType), + resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords) + ) + + // 2. miss count + val missTableName = "_miss_" + val missColName = getNameOpt(details, AccuracyInfo._Miss).getOrElse(AccuracyInfo._Miss) + val missSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" + case StreamingProcessType => s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${GroupByColumn.tmst}`" + } + val missStep = SparkSqlStep( + missTableName, + missSql, + Map[String, Any](), + NonePersistType, + None + ) + + // 3. total count + val totalTableName = "_total_" + val totalColName = getNameOpt(details, AccuracyInfo._Total).getOrElse(AccuracyInfo._Total) + val totalSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + case StreamingProcessType => s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${GroupByColumn.tmst}`" + } + val totalStep = SparkSqlStep( + totalTableName, + totalSql, + Map[String, Any](), + NonePersistType, + None + ) + + // 4. accuracy metric + val matchedColName = getNameOpt(details, AccuracyInfo._Matched).getOrElse(AccuracyInfo._Matched) + val accuracyMetricSql = procType match { + case BatchProcessType => + s""" + |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, + |`${totalTableName}`.`${totalColName}` AS `${totalColName}` + |FROM `${totalTableName}` FULL JOIN `${missTableName}` + """.stripMargin + case StreamingProcessType => + s""" + |SELECT `${totalTableName}`.`${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, + |`${missTableName}`.`${missColName}` AS `${missColName}`, + |`${totalTableName}`.`${totalColName}` AS `${totalColName}` + |FROM `${totalTableName}` FULL JOIN `${missTableName}` + |ON `${totalTableName}`.`${GroupByColumn.tmst}` = `${missTableName}`.`${GroupByColumn.tmst}` + """.stripMargin + } + val accuracyMetricName = resultName(details, AccuracyInfo._Accuracy) + val accuracyMetricStep = SparkSqlStep( + accuracyMetricName, + accuracyMetricSql, + details, + NonePersistType, + None + ) + + // 5. accuracy metric filter + val accuracyStep = DfOprStep( + accuracyMetricName, + "accuracy", + Map[String, Any]( + ("df.name" -> accuracyMetricName), + ("miss" -> missColName), + ("total" -> totalColName), + ("matched" -> matchedColName) + ), + resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType), + None + ) + + missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil + } + } + + private def transProfilingRuleStep(details: Map[String, Any], expr: Expr ): Seq[ConcreteRuleStep] = { - val details = ruleStep.details - ruleStep.dqType match { - case AccuracyType => { - val sourceName = getNameOpt(details, AccuracyInfo._Source) match { + val profilingClause = expr.asInstanceOf[ProfilingClause] + val sourceName = profilingClause.fromClauseOpt match { + case Some(fc) => fc.dataSource + case _ => { + getNameOpt(details, ProfilingInfo._Source) match { case Some(name) => name case _ => dataSourceNames.head } - val targetName = getNameOpt(details, AccuracyInfo._Target) match { - case Some(name) => name - case _ => dataSourceNames.tail.head - } - val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) - - - if (!checkDataSourceExists(sourceName)) { - Nil - } else { - // 1. miss record - val missRecordsSql = if (!checkDataSourceExists(targetName)) { - val selClause = s"`${sourceName}`.*" - s"SELECT ${selClause} FROM `${sourceName}`" - } else { - val selClause = s"`${sourceName}`.*" - val onClause = expr.coalesceDesc - val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => - s"${sel.desc} IS NULL" - }.mkString(" AND ") - val targetIsNull = analyzer.targetSelectionExprs.map { sel => - s"${sel.desc} IS NULL" - }.mkString(" AND ") - val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" - s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" - } - val missRecordsName = resultName(details, AccuracyInfo._MissRecords) - val missRecordsStep = SparkSqlStep( - missRecordsName, - missRecordsSql, - Map[String, Any](), - resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType), - resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords) - ) - - // 2. miss count - val missTableName = "_miss_" - val missColName = getNameOpt(details, AccuracyInfo._Miss).getOrElse(AccuracyInfo._Miss) - val missSql = { - s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${GroupByColumn.tmst}`" - } - val missStep = SparkSqlStep( - missTableName, - missSql, - Map[String, Any](), - NonePersistType, - None - ) - - // 3. total count - val totalTableName = "_total_" - val totalColName = getNameOpt(details, AccuracyInfo._Total).getOrElse(AccuracyInfo._Total) - val totalSql = { - s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${GroupByColumn.tmst}`" - } - val totalStep = SparkSqlStep( - totalTableName, - totalSql, - Map[String, Any](), - NonePersistType, - None - ) - - // 4. accuracy metric - val matchedColName = getNameOpt(details, AccuracyInfo._Matched).getOrElse(AccuracyInfo._Matched) - val accuracyMetricSql = { - s""" - |SELECT `${totalTableName}`.`${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, - |`${missTableName}`.`${missColName}` AS `${missColName}`, - |`${totalTableName}`.`${totalColName}` AS `${totalColName}` - |FROM `${totalTableName}` FULL JOIN `${missTableName}` - |ON `${totalTableName}`.`${GroupByColumn.tmst}` = `${missTableName}`.`${GroupByColumn.tmst}` - """.stripMargin - } - val accuracyMetricName = resultName(details, AccuracyInfo._Accuracy) - val accuracyMetricStep = SparkSqlStep( - accuracyMetricName, - accuracyMetricSql, - details, - // resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType) - NonePersistType, - None - ) - - // 5. accuracy metric filter - val accuracyStep = DfOprStep( - accuracyMetricName, - "accuracy", - Map[String, Any]( - ("df.name" -> accuracyMetricName), - ("miss" -> missColName), - ("total" -> totalColName), - ("matched" -> matchedColName) - ), - resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType), - None - ) - - missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil - } } - case ProfilingType => { - val profilingClause = expr.asInstanceOf[ProfilingClause] - val sourceName = profilingClause.fromClauseOpt match { - case Some(fc) => fc.dataSource - case _ => { - getNameOpt(details, ProfilingInfo._Source) match { - case Some(name) => name - case _ => dataSourceNames.head - } - } - } - val analyzer = ProfilingAnalyzer(profilingClause, sourceName) - -// analyzer.selectionExprs.foreach(println) + } + val analyzer = ProfilingAnalyzer(profilingClause, sourceName) - val selExprDescs = analyzer.selectionExprs.map { sel => - val alias = sel match { - case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" - case _ => "" - } - s"${sel.desc}${alias}" - } + val selExprDescs = analyzer.selectionExprs.map { sel => + val alias = sel match { + case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" + case _ => "" + } + s"${sel.desc}${alias}" + } -// val selClause = (s"`${GroupByColumn.tmst}`" +: selExprDescs).mkString(", ") - val selClause = if (analyzer.containsAllSelectionExpr) { + val selClause = procType match { + case BatchProcessType => selExprDescs.mkString(", ") + case StreamingProcessType => { + if (analyzer.containsAllSelectionExpr) { selExprDescs.mkString(", ") } else { (s"`${GroupByColumn.tmst}`" +: selExprDescs).mkString(", ") } + } + } + + val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc - val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc + val groupByClauseOpt = procType match { + case BatchProcessType => analyzer.groupbyExprOpt + case StreamingProcessType => { + val tmstGroupByClause = GroupbyClause(LiteralStringExpr(s"`${GroupByColumn.tmst}`") :: Nil, None) + Some(tmstGroupByClause.merge(analyzer.groupbyExprOpt.getOrElse(GroupbyClause(Nil, None)))) + } + } -// val tailClause = analyzer.tailsExprs.map(_.desc).mkString(" ") - val tmstGroupbyClause = GroupbyClause(LiteralStringExpr(s"`${GroupByColumn.tmst}`") :: Nil, None) - val mergedGroubbyClause = tmstGroupbyClause.merge(analyzer.groupbyExprOpt match { - case Some(gbc) => gbc - case _ => GroupbyClause(Nil, None) - }) - val groupbyClause = mergedGroubbyClause.desc - val preGroupbyClause = analyzer.preGroupbyExprs.map(_.desc).mkString(" ") - val postGroupbyClause = analyzer.postGroupbyExprs.map(_.desc).mkString(" ") + val groupbyClause = groupByClauseOpt.map(_.desc).getOrElse("") + val preGroupbyClause = analyzer.preGroupbyExprs.map(_.desc).mkString(" ") + val postGroupbyClause = analyzer.postGroupbyExprs.map(_.desc).mkString(" ") - if (!checkDataSourceExists(sourceName)) { - Nil - } else { - // 1. select statement - val profilingSql = { -// s"SELECT `${GroupByColumn.tmst}`, ${selClause} FROM ${sourceName} ${tailClause} GROUP BY `${GroupByColumn.tmst}`" - s"SELECT ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" - } - val profilingMetricName = resultName(details, ProfilingInfo._Profiling) - val profilingStep = SparkSqlStep( - profilingMetricName, - profilingSql, - details, - resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType), - None - ) + if (!checkDataSourceExists(sourceName)) { + Nil + } else { + // 1. select statement + val profilingSql = { + s"SELECT ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" + } + val profilingMetricName = resultName(details, ProfilingInfo._Profiling) + val profilingStep = SparkSqlStep( + profilingMetricName, + profilingSql, + details, + resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType), + None + ) + + profilingStep :: Nil + } + } - // 2. clear processed data -// val clearDataSourceStep = DfOprStep( -// s"${sourceName}_clear", -// "clear", + private def transConcreteRuleSteps(ruleStep: GriffinDslStep, expr: Expr + ): Seq[ConcreteRuleStep] = { + val details = ruleStep.details + ruleStep.dqType match { + case AccuracyType => { + transAccuracyRuleStep(details, expr) + +// val sourceName = getNameOpt(details, AccuracyInfo._Source) match { +// case Some(name) => name +// case _ => dataSourceNames.head +// } +// val targetName = getNameOpt(details, AccuracyInfo._Target) match { +// case Some(name) => name +// case _ => dataSourceNames.tail.head +// } +// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) +// +// +// if (!checkDataSourceExists(sourceName)) { +// Nil +// } else { +// // 1. miss record +// val missRecordsSql = if (!checkDataSourceExists(targetName)) { +// val selClause = s"`${sourceName}`.*" +// s"SELECT ${selClause} FROM `${sourceName}`" +// } else { +// val selClause = s"`${sourceName}`.*" +// val onClause = expr.coalesceDesc +// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val targetIsNull = analyzer.targetSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" +// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" +// } +// val missRecordsName = resultName(details, AccuracyInfo._MissRecords) +// val missRecordsStep = SparkSqlStep( +// missRecordsName, +// missRecordsSql, +// Map[String, Any](), +// resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType), +// resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords) +// ) +// +// // 2. miss count +// val missTableName = "_miss_" +// val missColName = getNameOpt(details, AccuracyInfo._Miss).getOrElse(AccuracyInfo._Miss) +// val missSql = { +// s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${GroupByColumn.tmst}`" +// } +// val missStep = SparkSqlStep( +// missTableName, +// missSql, +// Map[String, Any](), +// NonePersistType, +// None +// ) +// +// // 3. total count +// val totalTableName = "_total_" +// val totalColName = getNameOpt(details, AccuracyInfo._Total).getOrElse(AccuracyInfo._Total) +// val totalSql = { +// s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${GroupByColumn.tmst}`" +// } +// val totalStep = SparkSqlStep( +// totalTableName, +// totalSql, +// Map[String, Any](), +// NonePersistType, +// None +// ) +// +// // 4. accuracy metric +// val matchedColName = getNameOpt(details, AccuracyInfo._Matched).getOrElse(AccuracyInfo._Matched) +// val accuracyMetricSql = { +// s""" +// |SELECT `${totalTableName}`.`${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, +// |`${missTableName}`.`${missColName}` AS `${missColName}`, +// |`${totalTableName}`.`${totalColName}` AS `${totalColName}` +// |FROM `${totalTableName}` FULL JOIN `${missTableName}` +// |ON `${totalTableName}`.`${GroupByColumn.tmst}` = `${missTableName}`.`${GroupByColumn.tmst}` +// """.stripMargin +// } +// val accuracyMetricName = resultName(details, AccuracyInfo._Accuracy) +// val accuracyMetricStep = SparkSqlStep( +// accuracyMetricName, +// accuracyMetricSql, +// details, +// // resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType) +// NonePersistType, +// None +// ) +// +// // 5. accuracy metric filter +// val accuracyStep = DfOprStep( +// accuracyMetricName, +// "accuracy", // Map[String, Any]( -// ("df.name" -> sourceName) +// ("df.name" -> accuracyMetricName), +// ("miss" -> missColName), +// ("total" -> totalColName), +// ("matched" -> matchedColName) // ), -// NonePersistType, -// Some(sourceName) +// resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType), +// None // ) // -// profilingStep :: clearDataSourceStep :: Nil - - profilingStep:: Nil - } +// missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil +// } + } + case ProfilingType => { + transProfilingRuleStep(details, expr) + +// val profilingClause = expr.asInstanceOf[ProfilingClause] +// val sourceName = profilingClause.fromClauseOpt match { +// case Some(fc) => fc.dataSource +// case _ => { +// getNameOpt(details, ProfilingInfo._Source) match { +// case Some(name) => name +// case _ => dataSourceNames.head +// } +// } +// } +// val analyzer = ProfilingAnalyzer(profilingClause, sourceName) +// +//// analyzer.selectionExprs.foreach(println) +// +// val selExprDescs = analyzer.selectionExprs.map { sel => +// val alias = sel match { +// case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" +// case _ => "" +// } +// s"${sel.desc}${alias}" +// } +// +//// val selClause = (s"`${GroupByColumn.tmst}`" +: selExprDescs).mkString(", ") +// val selClause = if (analyzer.containsAllSelectionExpr) { +// selExprDescs.mkString(", ") +// } else { +// (s"`${GroupByColumn.tmst}`" +: selExprDescs).mkString(", ") +// } +// +// val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc +// +//// val tailClause = analyzer.tailsExprs.map(_.desc).mkString(" ") +// val tmstGroupbyClause = GroupbyClause(LiteralStringExpr(s"`${GroupByColumn.tmst}`") :: Nil, None) +// val mergedGroubbyClause = tmstGroupbyClause.merge(analyzer.groupbyExprOpt match { +// case Some(gbc) => gbc +// case _ => GroupbyClause(Nil, None) +// }) +// val groupbyClause = mergedGroubbyClause.desc +// val preGroupbyClause = analyzer.preGroupbyExprs.map(_.desc).mkString(" ") +// val postGroupbyClause = analyzer.postGroupbyExprs.map(_.desc).mkString(" ") +// +// if (!checkDataSourceExists(sourceName)) { +// Nil +// } else { +// // 1. select statement +// val profilingSql = { +//// s"SELECT `${GroupByColumn.tmst}`, ${selClause} FROM ${sourceName} ${tailClause} GROUP BY `${GroupByColumn.tmst}`" +// s"SELECT ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" +// } +// val profilingMetricName = resultName(details, ProfilingInfo._Profiling) +// val profilingStep = SparkSqlStep( +// profilingMetricName, +// profilingSql, +// details, +// resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType), +// None +// ) +// +// // 2. clear processed data +//// val clearDataSourceStep = DfOprStep( +//// s"${sourceName}_clear", +//// "clear", +//// Map[String, Any]( +//// ("df.name" -> sourceName) +//// ), +//// NonePersistType, +//// Some(sourceName) +//// ) +//// +//// profilingStep :: clearDataSourceStep :: Nil +// +// profilingStep:: Nil +// } } case TimelinessType => { @@ -342,15 +534,4 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - private def checkDataSourceExists(name: String): Boolean = { - try { - RuleAdaptorGroup.dataChecker.existDataSourceName(name) - } catch { - case e: Throwable => { - error(s"check data source exists error: ${e.getMessage}") - false - } - } - } - } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 237902abb..a775dcb49 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -52,11 +52,13 @@ object RuleAdaptorGroup { } } - private def genRuleAdaptor(dslType: DslType, dsNames: Seq[String], adaptPhase: AdaptPhase): Option[RuleAdaptor] = { + private def genRuleAdaptor(dslType: DslType, dsNames: Seq[String], + procType: ProcessType, adaptPhase: AdaptPhase + ): Option[RuleAdaptor] = { dslType match { case SparkSqlType => Some(SparkSqlAdaptor(adaptPhase)) case DfOprType => Some(DataFrameOprAdaptor(adaptPhase)) - case GriffinDslType => Some(GriffinDslAdaptor(dsNames, functionNames, adaptPhase)) + case GriffinDslType => Some(GriffinDslAdaptor(dsNames, functionNames, procType, adaptPhase)) case _ => None } } @@ -78,21 +80,21 @@ object RuleAdaptorGroup { // } def genConcreteRuleSteps(evaluateRuleParam: EvaluateRuleParam, - adaptPhase: AdaptPhase + procType: ProcessType, adaptPhase: AdaptPhase ): Seq[ConcreteRuleStep] = { val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType val defaultDslType = DslType(dslTypeStr) val ruleParams = evaluateRuleParam.rules - genConcreteRuleSteps(ruleParams, defaultDslType, adaptPhase) + genConcreteRuleSteps(ruleParams, defaultDslType, procType, adaptPhase) } - def genConcreteRuleSteps(ruleParams: Seq[Map[String, Any]], - defDslType: DslType, adaptPhase: AdaptPhase + def genConcreteRuleSteps(ruleParams: Seq[Map[String, Any]], defDslType: DslType, + procType: ProcessType, adaptPhase: AdaptPhase ): Seq[ConcreteRuleStep] = { val (steps, dsNames) = ruleParams.foldLeft((Seq[ConcreteRuleStep](), dataSourceNames)) { (res, param) => val (preSteps, preNames) = res val dslType = getDslType(param, defDslType) - val (curSteps, curNames) = genRuleAdaptor(dslType, preNames, adaptPhase) match { + val (curSteps, curNames) = genRuleAdaptor(dslType, preNames, procType, adaptPhase) match { case Some(ruleAdaptor) => (ruleAdaptor.genConcreteRuleStep(param), preNames ++ ruleAdaptor.getTempSourceNames(param)) case _ => (Nil, preNames) } diff --git a/measure/src/test/resources/config-test-profiling1.json b/measure/src/test/resources/config-test-profiling1.json new file mode 100644 index 000000000..81f802811 --- /dev/null +++ b/measure/src/test/resources/config-test-profiling1.json @@ -0,0 +1,36 @@ +{ + "name": "prof_batch_test", + + "process.type": "batch", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + } + ], + + "evaluateRule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "rule": "select count(user_id) from source where source.user_id > 10049", + "details": { + "profiling": { + "name": "count", + "persist.type": "metric" + } + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 4d51691fb..6ef43c19b 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -18,6 +18,7 @@ under the License. */ package org.apache.griffin.measure.rule.adaptor +import org.apache.griffin.measure.process._ import org.apache.griffin.measure.process.check.DataChecker import org.apache.griffin.measure.utils.JsonUtil import org.junit.runner.RunWith @@ -29,14 +30,14 @@ import org.scalamock.scalatest.MockFactory class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter with MockFactory { test ("profiling groupby") { - val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil, RunPhase) + val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil, StreamingProcessType, RunPhase) val ruleJson = """ |{ | "dsl.type": "griffin-dsl", | "dq.type": "profiling", - | "rule": "source.age, source.`age`.count(), (source.user_id.COUNT() + 1s) as cnt group by source.age having source.desc.count() > 5 or false order by user_id desc, user_name asc limit 5", + | "rule": "source.age, source.`age`.count() from source group by source.age", | "details": { | "source": "source", | "profiling": { @@ -62,4 +63,36 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w } } + test ("accuracy") { + val adaptor = GriffinDslAdaptor("source" :: "target" :: Nil, "count" :: Nil, StreamingProcessType, RunPhase) + + val ruleJson = + """ + |{ + | "dsl.type": "griffin-dsl", + | "dq.type": "accuracy", + | "rule": "source.id = target.id and source.name = target.name", + | "details": { + | "source": "source", + | "target": "target" + | } + |} + """.stripMargin + + // rule: Map[String, Any] + val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) + println(rule) + + val dataCheckerMock = mock[DataChecker] + dataCheckerMock.existDataSourceName _ expects ("source") returns (true) + dataCheckerMock.existDataSourceName _ expects ("target") returns (true) + RuleAdaptorGroup.dataChecker = dataCheckerMock + + val steps = adaptor.genConcreteRuleStep(rule) + + steps.foreach { step => + println(s"${step.name} [${step.dslType}]: ${step.rule}") + } + } + } From 1f77523fc6af8fe23670448d98f6be693ecac13c Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 21 Nov 2017 15:13:47 +0800 Subject: [PATCH 020/177] ignore --- .gitignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.gitignore b/.gitignore index 9270ccc4a..405d69368 100644 --- a/.gitignore +++ b/.gitignore @@ -36,3 +36,5 @@ ui/tmp derby.log metastore_db + +measure/src/test/scala/org/apache/griffin/measure/process/* From 7349cb8b84af88015594f48b2a26fd6bb1fac2af Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 21 Nov 2017 15:39:05 +0800 Subject: [PATCH 021/177] fix bug for livy ignoring backtick ` --- .../org/apache/griffin/core/job/SparkSubmitJob.java | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/service/src/main/java/org/apache/griffin/core/job/SparkSubmitJob.java b/service/src/main/java/org/apache/griffin/core/job/SparkSubmitJob.java index d5502e581..f868a5f75 100644 --- a/service/src/main/java/org/apache/griffin/core/job/SparkSubmitJob.java +++ b/service/src/main/java/org/apache/griffin/core/job/SparkSubmitJob.java @@ -221,6 +221,11 @@ private long setCurrentBlockStartTimestamp(long currentSystemTimestamp) { return currentBlockStartTimestamp; } + private String escapeCharactor(String str, String regex) { + String escapeCh = "\\\\" + regex; + return str.replaceAll(regex, escapeCh); + } + private void setSparkJobDO() { sparkJobDO.setFile(sparkJobProps.getProperty("sparkJob.file")); sparkJobDO.setClassName(sparkJobProps.getProperty("sparkJob.className")); @@ -231,7 +236,11 @@ private void setSparkJobDO() { String measureJson; measure.setTriggerTimeStamp(System.currentTimeMillis()); measureJson = JsonUtil.toJsonWithFormat(measure); - args.add(measureJson); + + // to fix livy bug: ` will be ignored by livy + String finalMeasureJson = escapeCharactor(measureJson, "`"); + args.add(finalMeasureJson); + args.add(sparkJobProps.getProperty("sparkJob.args_3")); sparkJobDO.setArgs(args); From 357419fc953e4745c7b53965411d955dbc087c33 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 21 Nov 2017 15:39:57 +0800 Subject: [PATCH 022/177] fix bug for livy ignoring backtick ` --- .../main/java/org/apache/griffin/core/job/SparkSubmitJob.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/service/src/main/java/org/apache/griffin/core/job/SparkSubmitJob.java b/service/src/main/java/org/apache/griffin/core/job/SparkSubmitJob.java index f868a5f75..84a01c267 100644 --- a/service/src/main/java/org/apache/griffin/core/job/SparkSubmitJob.java +++ b/service/src/main/java/org/apache/griffin/core/job/SparkSubmitJob.java @@ -222,7 +222,7 @@ private long setCurrentBlockStartTimestamp(long currentSystemTimestamp) { } private String escapeCharactor(String str, String regex) { - String escapeCh = "\\\\" + regex; + String escapeCh = "\\" + regex; return str.replaceAll(regex, escapeCh); } @@ -238,7 +238,7 @@ private void setSparkJobDO() { measureJson = JsonUtil.toJsonWithFormat(measure); // to fix livy bug: ` will be ignored by livy - String finalMeasureJson = escapeCharactor(measureJson, "`"); + String finalMeasureJson = escapeCharactor(measureJson, "\\`"); args.add(finalMeasureJson); args.add(sparkJobProps.getProperty("sparkJob.args_3")); From 2308680c1b847b3ef9f7eced03aab3bd11e66140 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 21 Nov 2017 17:11:05 +0800 Subject: [PATCH 023/177] test --- .../griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 6ef43c19b..7f565b8f6 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -30,7 +30,7 @@ import org.scalamock.scalatest.MockFactory class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter with MockFactory { test ("profiling groupby") { - val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil, StreamingProcessType, RunPhase) + val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil, BatchProcessType, RunPhase) val ruleJson = """ From 21bb7a91a934c6810bf69e794d5faf03bd6ae3c3 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 21 Nov 2017 17:47:43 +0800 Subject: [PATCH 024/177] fix alias bug --- .../measure/rule/dsl/parser/BasicParser.scala | 20 ++++++++++++++----- 1 file changed, 15 insertions(+), 5 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala index c6b1a5464..6415a02d0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala @@ -159,9 +159,12 @@ trait BasicParser extends JavaTokenParsers with Serializable { import Operator._ object Strings { + def innerString(s: String): String = s.substring(1, s.size - 1) + def AnyString: Parser[String] = """"(?:\"|[^\"])*"""".r | """'(?:\'|[^'])*'""".r - def UQuoteTableFieldName: Parser[String] = """`(?:[\\][`]|[^`])*`""".r - def FieldName: Parser[String] = UQuoteTableFieldName | """[a-zA-Z_]\w*""".r + def SimpleTableFieldName: Parser[String] = """[a-zA-Z_]\w*""".r + def UnQuoteTableFieldName: Parser[String] = """`(?:[\\][`]|[^`])*`""".r +// def FieldName: Parser[String] = UnQuoteTableFieldName | SimpleTableFieldName def DataSourceName: Parser[String] = genDataSourceNamesParser(dataSourceNames) def FunctionName: Parser[String] = genFunctionNamesParser(functionNames) @@ -209,14 +212,21 @@ trait BasicParser extends JavaTokenParsers with Serializable { DataSourceHeadExpr(_) } | function ^^ { OtherHeadExpr(_) - } | FieldName ^^ { + } | SimpleTableFieldName ^^ { FieldNameHeadExpr(_) + } | UnQuoteTableFieldName ^^ { s => + FieldNameHeadExpr(innerString(s)) } | ALLSL ^^ { _ => ALLSelectHeadExpr() } def selector: Parser[SelectExpr] = functionSelect | allFieldsSelect | fieldSelect | indexSelect def allFieldsSelect: Parser[AllFieldsSelectExpr] = DOT ~> ALLSL ^^ { _ => AllFieldsSelectExpr() } - def fieldSelect: Parser[FieldSelectExpr] = DOT ~> FieldName ^^ { FieldSelectExpr(_) } + def fieldSelect: Parser[FieldSelectExpr] = DOT ~> ( + SimpleTableFieldName ^^ { + FieldSelectExpr(_) + } | UnQuoteTableFieldName ^^ {s => + FieldSelectExpr(innerString(s)) + }) def indexSelect: Parser[IndexSelectExpr] = LSQBR ~> argument <~ RSQBR ^^ { IndexSelectExpr(_) } def functionSelect: Parser[FunctionSelectExpr] = DOT ~ FunctionName ~ LBR ~ repsep(argument, COMMA) ~ RBR ^^ { case _ ~ name ~ _ ~ args ~ _ => FunctionSelectExpr(name, args) @@ -226,7 +236,7 @@ trait BasicParser extends JavaTokenParsers with Serializable { * -- as alias -- * ::= */ - def asAlias: Parser[String] = AS ~> FieldName + def asAlias: Parser[String] = AS ~> (SimpleTableFieldName | UnQuoteTableFieldName ^^ { innerString(_) }) /** * -- math expr -- From 49da9ca38dc46819c42d4bfdec26d6c41416aa9a Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 22 Nov 2017 14:34:35 +0800 Subject: [PATCH 025/177] tmst init --- .../cache/result/CacheResultProcesser.scala | 2 +- .../measure/cache/tmst/TmstCache.scala | 26 ++++++ .../data/connector/DataConnector.scala | 15 +++- .../batch/AvroBatchDataConnector.scala | 5 +- .../batch/HiveBatchDataConnector.scala | 5 +- .../batch/TextDirBatchDataConnector.scala | 5 +- .../streaming/StreamingDataConnector.scala | 2 +- .../measure/data/source/DataSource.scala | 33 +++++--- .../measure/data/source/DataSourceCache.scala | 10 ++- .../measure/process/BatchDqProcess.scala | 5 +- .../measure/process/StreamingDqThread.scala | 5 +- .../measure/process/engine/DqEngines.scala | 8 +- .../process/engine/SparkDqEngine.scala | 2 + .../rule/adaptor/DataFrameOprAdaptor.scala | 2 +- .../rule/adaptor/GriffinDslAdaptor.scala | 81 ++++++++++++++----- .../measure/rule/adaptor/RuleAdaptor.scala | 7 +- .../rule/adaptor/RuleAdaptorGroup.scala | 11 +-- .../rule/adaptor/SparkSqlAdaptor.scala | 2 +- .../resources/config-test-profiling1.json | 4 +- .../rule/adaptor/GriffinDslAdaptorTest.scala | 6 +- 20 files changed, 168 insertions(+), 68 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/result/CacheResultProcesser.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/result/CacheResultProcesser.scala index 9916e925d..0511c04f5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/result/CacheResultProcesser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/result/CacheResultProcesser.scala @@ -25,7 +25,7 @@ import scala.collection.mutable.{Map => MutableMap} object CacheResultProcesser extends Loggable { - val cacheGroup: MutableMap[Long, CacheResult] = MutableMap() + private val cacheGroup: MutableMap[Long, CacheResult] = MutableMap() def genUpdateCacheResult(timeGroup: Long, updateTime: Long, result: Result): Option[CacheResult] = { cacheGroup.get(timeGroup) match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala new file mode 100644 index 000000000..250bab4f0 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala @@ -0,0 +1,26 @@ +package org.apache.griffin.measure.cache.tmst + +import org.apache.griffin.measure.log.Loggable + +import scala.collection.mutable.{SortedSet => MutableSortedSet} + + +object TmstCache extends Loggable { + + private val tmstGroup: MutableSortedSet[Long] = MutableSortedSet.empty[Long] + + //-- insert tmst into tmst group -- + def insert(tmst: Long) = tmstGroup += tmst + def insert(tmsts: Iterable[Long]) = tmstGroup ++= tmsts + + //-- remove tmst from tmst group -- + def remove(tmst: Long) = tmstGroup -= tmst + def remove(tmsts: Iterable[Long]) = tmstGroup --= tmsts + + //-- get subset of tmst group -- + def range(from: Long, until: Long) = tmstGroup.range(from, until).toSet + def until(until: Long) = tmstGroup.until(until).toSet + def from(from: Long) = tmstGroup.from(from).toSet + def all = tmstGroup.toSet + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 93f1d0150..5a46152d0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -20,6 +20,7 @@ package org.apache.griffin.measure.data.connector import java.util.concurrent.atomic.AtomicLong +import org.apache.griffin.measure.cache.tmst.TmstCache import org.apache.griffin.measure.config.params.user.DataConnectorParam import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.{BatchDqProcess, BatchProcessType} @@ -38,7 +39,7 @@ trait DataConnector extends Loggable with Serializable { def init(): Unit - def data(ms: Long): Option[DataFrame] + def data(ms: Long): (Option[DataFrame], Set[Long]) val dqEngines: DqEngines @@ -53,6 +54,9 @@ trait DataConnector extends Loggable with Serializable { final val tmstColName = GroupByColumn.tmst + protected def saveTmst(t: Long) = TmstCache.insert(t) + protected def readTmst(t: Long) = TmstCache.range(t, t + 1) + def preProcess(dfOpt: Option[DataFrame], ms: Long): Option[DataFrame] = { val thisTable = thisName(ms) val preProcRules = PreProcRuleGenerator.genPreProcRules(dcParam.preProc, suffix(ms)) @@ -63,9 +67,11 @@ trait DataConnector extends Loggable with Serializable { // in data df.registerTempTable(thisTable) + val dsTmsts = Map[String, Set[Long]]((thisTable -> Set[Long](ms))) + // generate rule steps - val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps(preProcRules, - DslType("spark-sql"), BatchProcessType, PreProcPhase) + val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( + preProcRules, dsTmsts, DslType("spark-sql"), BatchProcessType, PreProcPhase) // run rules dqEngines.runRuleSteps(ruleSteps) @@ -85,6 +91,9 @@ trait DataConnector extends Loggable with Serializable { // add tmst val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) + // tmst cache + saveTmst(ms) + Some(withTmstDf) } } catch { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/AvroBatchDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/AvroBatchDataConnector.scala index ccd644198..fb042c2dc 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/AvroBatchDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/AvroBatchDataConnector.scala @@ -51,8 +51,8 @@ case class AvroBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngines, HdfsUtil.existPath(concreteFileFullPath) } - def data(ms: Long): Option[DataFrame] = { - try { + def data(ms: Long): (Option[DataFrame], Set[Long]) = { + val dfOpt = try { val df = sqlContext.read.format("com.databricks.spark.avro").load(concreteFileFullPath) val dfOpt = Some(df) val preDfOpt = preProcess(dfOpt, ms) @@ -63,6 +63,7 @@ case class AvroBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngines, None } } + (dfOpt, readTmst(ms)) } // def available(): Boolean = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala index cf51d6cce..812d724d5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala @@ -60,8 +60,8 @@ case class HiveBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngines, // if (arr.size > 0) Some(arr) else None // } - def data(ms: Long): Option[DataFrame] = { - try { + def data(ms: Long): (Option[DataFrame], Set[Long]) = { + val dfOpt = try { val dtSql = dataSql info(dtSql) val df = sqlContext.sql(dtSql) @@ -74,6 +74,7 @@ case class HiveBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngines, None } } + (dfOpt, readTmst(ms)) } // def available(): Boolean = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/TextDirBatchDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/TextDirBatchDataConnector.scala index 13ffe8979..32be963e8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/TextDirBatchDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/TextDirBatchDataConnector.scala @@ -46,8 +46,8 @@ case class TextDirBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngine HdfsUtil.existPath(dirPath) } - def data(ms: Long): Option[DataFrame] = { - try { + def data(ms: Long): (Option[DataFrame], Set[Long]) = { + val dfOpt = try { val dataDirs = listSubDirs(dirPath :: Nil, dataDirDepth, readable) // touch done file for read dirs dataDirs.foreach(dir => touchDone(dir)) @@ -68,6 +68,7 @@ case class TextDirBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngine None } } + (dfOpt, readTmst(ms)) } private def listSubDirs(paths: Seq[String], depth: Int, filteFunc: (String) => Boolean): Seq[String] = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala index cc2176155..f8d50becb 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala @@ -36,7 +36,7 @@ trait StreamingDataConnector extends DataConnector { def transform(rdd: RDD[(K, V)]): Option[DataFrame] - def data(ms: Long): Option[DataFrame] = None + def data(ms: Long): (Option[DataFrame], Set[Long]) = (None, Set.empty[Long]) var dataSourceCacheOpt: Option[DataSourceCache] = None diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 0927754ae..7685be796 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -40,8 +40,9 @@ case class DataSource(sqlContext: SQLContext, dataConnectors.foreach(_.init) } - def loadData(ms: Long): Unit = { - data(ms) match { + def loadData(ms: Long): Set[Long] = { + val (dfOpt, tmsts) = data(ms) + dfOpt match { case Some(df) => { df.registerTempTable(name) } @@ -52,6 +53,7 @@ case class DataSource(sqlContext: SQLContext, // throw new Exception(s"load data source [${name}] fails") } } + tmsts } def dropTable(): Unit = { @@ -62,17 +64,25 @@ case class DataSource(sqlContext: SQLContext, } } - private def data(ms: Long): Option[DataFrame] = { - val batchDataFrameOpt = batchDataConnectors.flatMap { dc => - dc.data(ms) - }.reduceOption((a, b) => unionDataFrames(a, b)) + private def data(ms: Long): (Option[DataFrame], Set[Long]) = { + val (batchDataFrameOpt, batchTmsts) = batchDataConnectors.map(_.data(ms)).reduce( (a, b) => + (unionDfOpts(a._1, b._1), a._2 ++ b._2) + ) - val cacheDataFrameOpt = dataSourceCacheOpt.flatMap(_.readData()) + val (cacheDataFrameOpt, cacheTmsts) = dataSourceCacheOpt match { + case Some(dsc) => dsc.readData() + case _ => (None, Set.empty[Long]) + } + + (unionDfOpts(batchDataFrameOpt, cacheDataFrameOpt), batchTmsts ++ cacheTmsts) + } - (batchDataFrameOpt, cacheDataFrameOpt) match { - case (Some(bdf), Some(cdf)) => Some(unionDataFrames(bdf, cdf)) - case (Some(bdf), _) => Some(bdf) - case (_, Some(cdf)) => Some(cdf) + private def unionDfOpts(dfOpt1: Option[DataFrame], dfOpt2: Option[DataFrame] + ): Option[DataFrame] = { + (dfOpt1, dfOpt2) match { + case (Some(df1), Some(df2)) => Some(unionDataFrames(df1, df2)) + case (Some(df1), _) => dfOpt1 + case (_, Some(df2)) => dfOpt2 case _ => None } } @@ -88,7 +98,6 @@ case class DataSource(sqlContext: SQLContext, } val ndf2 = sqlContext.createDataFrame(rdd2, df1.schema) df1 unionAll ndf2 -// df1 unionAll df2 } catch { case e: Throwable => df1 } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala index 769550ff1..316b5749c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala @@ -21,6 +21,7 @@ package org.apache.griffin.measure.data.source import java.util.concurrent.TimeUnit import org.apache.griffin.measure.cache.info.{InfoCacheInstance, TimeInfoCache} +import org.apache.griffin.measure.cache.tmst.TmstCache import org.apache.griffin.measure.data.connector.streaming.StreamingDataConnector import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.log.Loggable @@ -110,7 +111,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], submitReadyTime(ms) } - def readData(): Option[DataFrame] = { + def readData(): (Option[DataFrame], Set[Long]) = { val timeRange = TimeInfoCache.getTimeRange submitLastProcTime(timeRange._2) @@ -125,7 +126,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], // list partition paths val partitionPaths = listPathsBetweenRanges(filePath :: Nil, partitionRanges) - if (partitionPaths.isEmpty) { + val dfOpt = if (partitionPaths.isEmpty) { None } else { try { @@ -137,6 +138,11 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], } } } + + // from until tmst range + val (from, until) = (reviseTimeRange._1, reviseTimeRange._2 + 1) + val tmstSet = TmstCache.range(from, until) + (dfOpt, tmstSet) } // -- deprecated -- diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 37b11f37e..629a43d08 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -83,10 +83,11 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { dataSources.foreach(_.init) // init data sources - dqEngines.loadData(dataSources, startTime) + val dsTmsts = dqEngines.loadData(dataSources, startTime) // generate rule steps - val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps(userParam.evaluateRuleParam, BatchProcessType, RunPhase) + val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( + userParam.evaluateRuleParam, dsTmsts, BatchProcessType, RunPhase) // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 7fb1ef426..935d8bcc9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -53,10 +53,11 @@ case class StreamingDqThread(dqEngines: DqEngines, TimeInfoCache.startTimeInfoCache // init data sources - dqEngines.loadData(dataSources, st) + val dsTmsts = dqEngines.loadData(dataSources, st) // generate rule steps - val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps(evaluateRuleParam, StreamingProcessType, RunPhase) + val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( + evaluateRuleParam, dsTmsts, StreamingProcessType, RunPhase) // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 1af2ae346..fab270015 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -32,10 +32,10 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { val persistOrder: List[PersistType] = List(MetricPersistType, RecordPersistType) - def loadData(dataSources: Seq[DataSource], ms: Long): Unit = { - dataSources.foreach { ds => - ds.loadData(ms) - } + def loadData(dataSources: Seq[DataSource], ms: Long): Map[String, Set[Long]] = { + dataSources.map { ds => + (ds.name, ds.loadData(ms)) + }.toMap } def runRuleSteps(ruleSteps: Seq[ConcreteRuleStep]): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index e8a7b164d..7cddd358f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -38,6 +38,8 @@ trait SparkDqEngine extends DqEngine { val name = step.name try { val pdf = sqlContext.table(s"`${name}`") + println(name) + pdf.show(10) val records = pdf.toJSON.collect() val pairs = records.flatMap { rec => diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index eb578388b..5d488a7c8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -27,7 +27,7 @@ case class DataFrameOprAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { DfOprStep(getName(param), getRule(param), getDetails(param), getPersistType(param), getUpdateDataSource(param)) :: Nil } - def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] = { + def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] = { ruleStep match { case rs @ DfOprStep(_, _, _, _, _) => rs :: Nil case _ => Nil diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 25bc4fdff..4a24ba0c2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -126,7 +126,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] = { + def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]] + ): Seq[ConcreteRuleStep] = { ruleStep match { case rs @ GriffinDslStep(_, rule, dqType, _) => { val exprOpt = try { @@ -147,7 +148,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], exprOpt match { case Some(expr) => { try { - transConcreteRuleSteps(rs, expr) + transConcreteRuleStep(rs, expr, dsTmsts) } catch { case e: Throwable => { error(s"trans concrete rule step error: ${e.getMessage}") @@ -162,7 +163,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - private def transAccuracyRuleStep(details: Map[String, Any], expr: Expr + private def transAccuracyRuleStep(details: Map[String, Any], expr: Expr, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { val sourceName = getNameOpt(details, AccuracyInfo._Source).getOrElse(dataSourceNames.head) val targetName = getNameOpt(details, AccuracyInfo._Target).getOrElse(dataSourceNames.tail.head) @@ -270,7 +271,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - private def transProfilingRuleStep(details: Map[String, Any], expr: Expr + private def transProfilingRuleStep(details: Map[String, Any], expr: Expr, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { val profilingClause = expr.asInstanceOf[ProfilingClause] val sourceName = profilingClause.fromClauseOpt match { @@ -282,6 +283,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } } + val tmsts = dsTmsts.getOrElse(sourceName, Set.empty[Long]) val analyzer = ProfilingAnalyzer(profilingClause, sourceName) val selExprDescs = analyzer.selectionExprs.map { sel => @@ -320,29 +322,64 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], if (!checkDataSourceExists(sourceName)) { Nil } else { - // 1. select statement - val profilingSql = { - s"SELECT ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" - } - val profilingMetricName = resultName(details, ProfilingInfo._Profiling) - val profilingStep = SparkSqlStep( - profilingMetricName, - profilingSql, - details, - resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType), - None - ) - - profilingStep :: Nil + tmsts.map { tmst => + // 1. where statement + val filterSql = { + s"SELECT * ${fromClause} WHERE `${GroupByColumn.tmst}` = ${tmst}" + } + println(filterSql) + val filteredSourceName = dsTmstName(sourceName, tmst) + val filterStep = SparkSqlStep( + filteredSourceName, + filterSql, + Map[String, Any](), + NonePersistType, + None + ) + + // 2. select statement + val partFromClause = FromClause(filteredSourceName).desc + val profilingSql = { + s"SELECT ${selClause} ${partFromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" + } + println(profilingSql) + val profilingMetricName = resultName(details, ProfilingInfo._Profiling) + val profilingStep = SparkSqlStep( + profilingMetricName, + profilingSql, + details, + resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType), + None + ) + + filterStep :: profilingStep :: Nil + }.reduce(_ ::: _) + +// // 1. select statement +// val profilingSql = { +// s"SELECT ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" +// } +// val profilingMetricName = resultName(details, ProfilingInfo._Profiling) +// val profilingStep = SparkSqlStep( +// profilingMetricName, +// profilingSql, +// details, +// resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType), +// None +// ) +// +// profilingStep :: Nil } } - private def transConcreteRuleSteps(ruleStep: GriffinDslStep, expr: Expr - ): Seq[ConcreteRuleStep] = { + private def dsTmstName(dsName: String, tmst: Long) = s"${dsName}_${tmst}" + + private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] + ): Seq[ConcreteRuleStep] = { val details = ruleStep.details ruleStep.dqType match { case AccuracyType => { - transAccuracyRuleStep(details, expr) + transAccuracyRuleStep(details, expr, dsTmsts) // val sourceName = getNameOpt(details, AccuracyInfo._Source) match { // case Some(name) => name @@ -450,7 +487,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // } } case ProfilingType => { - transProfilingRuleStep(details, expr) + transProfilingRuleStep(details, expr, dsTmsts) // val profilingClause = expr.asInstanceOf[ProfilingClause] // val sourceName = profilingClause.fromClauseOpt match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index 744f52ab0..6899ef46b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -49,12 +49,13 @@ trait RuleAdaptor extends Loggable with Serializable { def getTempSourceNames(param: Map[String, Any]): Seq[String] def genRuleStep(param: Map[String, Any]): Seq[RuleStep] - def genConcreteRuleStep(param: Map[String, Any]): Seq[ConcreteRuleStep] = { + def genConcreteRuleStep(param: Map[String, Any], dsTmsts: Map[String, Set[Long]] + ): Seq[ConcreteRuleStep] = { genRuleStep(param).flatMap { rs => - adaptConcreteRuleStep(rs) + adaptConcreteRuleStep(rs, dsTmsts) } } - protected def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] + protected def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index a775dcb49..6f301db56 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -79,23 +79,24 @@ object RuleAdaptorGroup { // steps // } - def genConcreteRuleSteps(evaluateRuleParam: EvaluateRuleParam, + def genConcreteRuleSteps(evaluateRuleParam: EvaluateRuleParam, dsTmsts: Map[String, Set[Long]], procType: ProcessType, adaptPhase: AdaptPhase ): Seq[ConcreteRuleStep] = { val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType val defaultDslType = DslType(dslTypeStr) val ruleParams = evaluateRuleParam.rules - genConcreteRuleSteps(ruleParams, defaultDslType, procType, adaptPhase) + genConcreteRuleSteps(ruleParams, dsTmsts, defaultDslType, procType, adaptPhase) } - def genConcreteRuleSteps(ruleParams: Seq[Map[String, Any]], defDslType: DslType, - procType: ProcessType, adaptPhase: AdaptPhase + def genConcreteRuleSteps(ruleParams: Seq[Map[String, Any]], dsTmsts: Map[String, Set[Long]], + defDslType: DslType, procType: ProcessType, adaptPhase: AdaptPhase ): Seq[ConcreteRuleStep] = { val (steps, dsNames) = ruleParams.foldLeft((Seq[ConcreteRuleStep](), dataSourceNames)) { (res, param) => val (preSteps, preNames) = res val dslType = getDslType(param, defDslType) val (curSteps, curNames) = genRuleAdaptor(dslType, preNames, procType, adaptPhase) match { - case Some(ruleAdaptor) => (ruleAdaptor.genConcreteRuleStep(param), preNames ++ ruleAdaptor.getTempSourceNames(param)) + case Some(ruleAdaptor) => (ruleAdaptor.genConcreteRuleStep(param, dsTmsts), + preNames ++ ruleAdaptor.getTempSourceNames(param)) case _ => (Nil, preNames) } (preSteps ++ curSteps, curNames) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index 78121fa00..0e6f15fd1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -27,7 +27,7 @@ case class SparkSqlAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { SparkSqlStep(getName(param), getRule(param), getDetails(param), getPersistType(param), getUpdateDataSource(param)) :: Nil } - def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] = { + def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] = { ruleStep match { case rs @ SparkSqlStep(name, rule, details, persistType, udsOpt) => { adaptPhase match { diff --git a/measure/src/test/resources/config-test-profiling1.json b/measure/src/test/resources/config-test-profiling1.json index 81f802811..ae258a930 100644 --- a/measure/src/test/resources/config-test-profiling1.json +++ b/measure/src/test/resources/config-test-profiling1.json @@ -3,6 +3,8 @@ "process.type": "batch", + "timestamp": 1234, + "data.sources": [ { "name": "source", @@ -23,7 +25,7 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "select count(user_id) from source where source.user_id > 10049", + "rule": "select count(user_id) from source where user_id > 10049", "details": { "profiling": { "name": "count", diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 7f565b8f6..2233cb3ac 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -56,7 +56,8 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w dataCheckerMock.existDataSourceName _ expects ("source") returning (true) RuleAdaptorGroup.dataChecker = dataCheckerMock - val steps = adaptor.genConcreteRuleStep(rule) + val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234))) + val steps = adaptor.genConcreteRuleStep(rule, dsTmsts) steps.foreach { step => println(s"${step.name} [${step.dslType}]: ${step.rule}") @@ -88,7 +89,8 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w dataCheckerMock.existDataSourceName _ expects ("target") returns (true) RuleAdaptorGroup.dataChecker = dataCheckerMock - val steps = adaptor.genConcreteRuleStep(rule) + val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234)), ("target" -> Set[Long](1234))) + val steps = adaptor.genConcreteRuleStep(rule, dsTmsts) steps.foreach { step => println(s"${step.name} [${step.dslType}]: ${step.rule}") From 649acb8b1cb61c38e157f3b0f4a61d6d76559b23 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 22 Nov 2017 14:35:51 +0800 Subject: [PATCH 026/177] ignore --- .gitignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.gitignore b/.gitignore index 9270ccc4a..405d69368 100644 --- a/.gitignore +++ b/.gitignore @@ -36,3 +36,5 @@ ui/tmp derby.log metastore_db + +measure/src/test/scala/org/apache/griffin/measure/process/* From ba22bf75a98c3adb593d2c96e44cd881a968d3a2 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 22 Nov 2017 16:49:05 +0800 Subject: [PATCH 027/177] tmst --- .../measure/cache/tmst/TmstCache.scala | 24 +++++++++++++++++++ .../data/connector/DataConnector.scala | 6 +++-- .../measure/process/BatchDqProcess.scala | 6 +++-- .../griffin/measure/process/DqProcess.scala | 2 +- .../measure/process/StreamingDqProcess.scala | 4 ++-- .../measure/process/engine/DqEngine.scala | 8 +++---- .../process/engine/SparkDqEngine.scala | 19 ++++++--------- .../rule/adaptor/GriffinDslAdaptor.scala | 14 +++++------ .../resources/config-test-profiling1.json | 14 +++++++++-- 9 files changed, 65 insertions(+), 32 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala index 250bab4f0..7539046db 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala @@ -1,5 +1,7 @@ package org.apache.griffin.measure.cache.tmst +import java.util.concurrent.atomic.AtomicLong + import org.apache.griffin.measure.log.Loggable import scala.collection.mutable.{SortedSet => MutableSortedSet} @@ -23,4 +25,26 @@ object TmstCache extends Loggable { def from(from: Long) = tmstGroup.from(from).toSet def all = tmstGroup.toSet + //-- df name -- + private val tmstNameRegex = """^(.*)\[(\d*)\]\((\d*)\)$""".r + def tmstName(name: String, tmst: Long, groupId: Long) = s"${name}[${tmst}](${groupId})" + def extractTmstName(tmstName: String): (String, Option[Long]) = { + tmstName match { + case tmstNameRegex(name, tmst, groupId) => { + try { (name, Some(tmst.toLong)) } catch { case e: Throwable => (tmstName, None) } + } + case _ => (tmstName, None) + } + } + } + +object CalcGroupGenerator { + private val counter: AtomicLong = new AtomicLong(0L) + + def genId: Long = increment + + private def increment: Long = { + counter.incrementAndGet() + } +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 5a46152d0..31a23f0b9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -55,7 +55,7 @@ trait DataConnector extends Loggable with Serializable { final val tmstColName = GroupByColumn.tmst protected def saveTmst(t: Long) = TmstCache.insert(t) - protected def readTmst(t: Long) = TmstCache.range(t, t + 1) + protected def readTmst(t: Long) = TmstCache.range(t, t + 2) def preProcess(dfOpt: Option[DataFrame], ms: Long): Option[DataFrame] = { val thisTable = thisName(ms) @@ -90,11 +90,13 @@ trait DataConnector extends Loggable with Serializable { // add tmst val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) + val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)) // tmst cache saveTmst(ms) + saveTmst(ms + 1) - Some(withTmstDf) + Some(withTmstDf unionAll withTmstDf1) } } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 629a43d08..711150e67 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -65,11 +65,13 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { def run: Try[_] = Try { // start time - val startTime = getStartTime + val startTime = new Date().getTime + + val appTime = getAppTime // get persists to persist measure result val persistFactory = PersistFactory(envParam.persistParams, metricName) - val persist: Persist = persistFactory.getPersists(startTime) + val persist: Persist = persistFactory.getPersists(appTime) // persist start id val applicationId = sparkContext.applicationId diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/DqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/DqProcess.scala index 7ff29d63c..ac8f3d6f9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/DqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/DqProcess.scala @@ -37,7 +37,7 @@ trait DqProcess extends Loggable with Serializable { def retriable: Boolean - protected def getStartTime: Long = { + protected def getAppTime: Long = { if (userParam.timestamp != null && userParam.timestamp > 0) { userParam.timestamp } else { System.currentTimeMillis } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala index 3fe8b3f78..b9f704d81 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala @@ -82,11 +82,11 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { }) // start time - val startTime = getStartTime + val appTime = getAppTime // get persists to persist measure result val persistFactory = PersistFactory(envParam.persistParams, metricName) - val persist: Persist = persistFactory.getPersists(startTime) + val persist: Persist = persistFactory.getPersists(appTime) // persist start id val applicationId = sparkContext.applicationId diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index e28dfa435..0332c1df4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -35,9 +35,9 @@ trait DqEngine extends Loggable with Serializable { def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] -// def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] -// -// def collectUpdateCacheDatas(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] + // def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] + // + // def collectUpdateCacheDatas(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] -} +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 7cddd358f..81fc3d79a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -18,6 +18,7 @@ under the License. */ package org.apache.griffin.measure.process.engine +import org.apache.griffin.measure.cache.tmst.TmstCache import org.apache.griffin.measure.data.connector.GroupByColumn import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.rule.dsl.{MetricPersistType, RecordPersistType} @@ -38,25 +39,19 @@ trait SparkDqEngine extends DqEngine { val name = step.name try { val pdf = sqlContext.table(s"`${name}`") - println(name) - pdf.show(10) - val records = pdf.toJSON.collect() + val records: Array[String] = pdf.toJSON.collect() + + val (metricName, tmstOpt) = TmstCache.extractTmstName(name) val pairs = records.flatMap { rec => try { val value = JsonUtil.toAnyMap(rec) - value.get(GroupByColumn.tmst) match { - case Some(t) => { - val key = t.toString.toLong - Some((key, value)) - } - case _ => None - } + tmstOpt.map((_, value)) } catch { case e: Throwable => None } } - val groupedPairs = pairs.foldLeft(Map[Long, Seq[Map[String, Any]]]()) { (ret, pair) => + val groupedPairs: Map[Long, Seq[Map[String, Any]]] = pairs.foldLeft(Map[Long, Seq[Map[String, Any]]]()) { (ret, pair) => val (k, v) = pair ret.get(k) match { case Some(seq) => ret + (k -> (seq :+ v)) @@ -65,7 +60,7 @@ trait SparkDqEngine extends DqEngine { } groupedPairs.mapValues { vs => if (vs.size > 1) { - Map[String, Any]((name -> vs)) + Map[String, Any]((metricName -> vs)) } else { vs.headOption.getOrElse(emptyMap) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 4a24ba0c2..a7a3e817f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -18,6 +18,7 @@ under the License. */ package org.apache.griffin.measure.rule.adaptor +import org.apache.griffin.measure.cache.tmst.TmstCache import org.apache.griffin.measure.data.connector.GroupByColumn import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} import org.apache.griffin.measure.rule.dsl._ @@ -328,9 +329,9 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], s"SELECT * ${fromClause} WHERE `${GroupByColumn.tmst}` = ${tmst}" } println(filterSql) - val filteredSourceName = dsTmstName(sourceName, tmst) + val tmstSourceName = TmstCache.tmstName(sourceName, tmst) val filterStep = SparkSqlStep( - filteredSourceName, + tmstSourceName, filterSql, Map[String, Any](), NonePersistType, @@ -338,14 +339,15 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], ) // 2. select statement - val partFromClause = FromClause(filteredSourceName).desc + val partFromClause = FromClause(tmstSourceName).desc val profilingSql = { s"SELECT ${selClause} ${partFromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" } println(profilingSql) - val profilingMetricName = resultName(details, ProfilingInfo._Profiling) + val metricName = resultName(details, ProfilingInfo._Profiling) + val tmstMetricName = TmstCache.tmstName(metricName, tmst) val profilingStep = SparkSqlStep( - profilingMetricName, + tmstMetricName, profilingSql, details, resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType), @@ -372,8 +374,6 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - private def dsTmstName(dsName: String, tmst: Long) = s"${dsName}_${tmst}" - private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { val details = ruleStep.details diff --git a/measure/src/test/resources/config-test-profiling1.json b/measure/src/test/resources/config-test-profiling1.json index ae258a930..104e828de 100644 --- a/measure/src/test/resources/config-test-profiling1.json +++ b/measure/src/test/resources/config-test-profiling1.json @@ -25,10 +25,20 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "select count(user_id) from source where user_id > 10049", + "rule": "select user_id.max() as max, user_id.min() as min, user_id.count() as cnt from source", "details": { "profiling": { - "name": "count", + "persist.type": "metric" + } + } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "rule": "select user_id as id, user_id.count() as cnt from source group by user_id order by cnt desc, id desc limit 3", + "details": { + "profiling": { + "name": "id-group", "persist.type": "metric" } } From 45a29743795d4fa00cd81ca55d2b60429c69d61a Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 22 Nov 2017 17:11:16 +0800 Subject: [PATCH 028/177] tmst --- .../griffin/measure/cache/tmst/TempName.scala | 37 +++++++++++++++++ .../measure/cache/tmst/TmstCache.scala | 40 +++++++++---------- .../data/connector/DataConnector.scala | 2 +- .../measure/process/BatchDqProcess.scala | 4 +- .../measure/process/StreamingDqThread.scala | 2 +- .../process/engine/SparkDqEngine.scala | 4 +- .../rule/adaptor/DataFrameOprAdaptor.scala | 2 +- .../rule/adaptor/GriffinDslAdaptor.scala | 25 +++--------- .../measure/rule/adaptor/RuleAdaptor.scala | 1 + .../rule/adaptor/RuleAdaptorGroup.scala | 22 +++++----- .../rule/adaptor/SparkSqlAdaptor.scala | 2 +- .../rule/adaptor/GriffinDslAdaptorTest.scala | 4 +- 12 files changed, 84 insertions(+), 61 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala new file mode 100644 index 000000000..6ae9b62e9 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala @@ -0,0 +1,37 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.cache.tmst + +import org.apache.griffin.measure.log.Loggable + +object TempName extends Loggable { + + //-- temp df name -- + private val tmstNameRegex = """^(.*)\[(\d*)\]\((\d*)\)$""".r + def tmstName(name: String, tmst: Long, groupId: Long) = s"${name}[${tmst}](${groupId})" + def extractTmstName(tmstName: String): (String, Option[Long]) = { + tmstName match { + case tmstNameRegex(name, tmst, groupId) => { + try { (name, Some(tmst.toLong)) } catch { case e: Throwable => (tmstName, None) } + } + case _ => (tmstName, None) + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala index 7539046db..3f2e33e3e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala @@ -1,3 +1,21 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ package org.apache.griffin.measure.cache.tmst import java.util.concurrent.atomic.AtomicLong @@ -25,26 +43,4 @@ object TmstCache extends Loggable { def from(from: Long) = tmstGroup.from(from).toSet def all = tmstGroup.toSet - //-- df name -- - private val tmstNameRegex = """^(.*)\[(\d*)\]\((\d*)\)$""".r - def tmstName(name: String, tmst: Long, groupId: Long) = s"${name}[${tmst}](${groupId})" - def extractTmstName(tmstName: String): (String, Option[Long]) = { - tmstName match { - case tmstNameRegex(name, tmst, groupId) => { - try { (name, Some(tmst.toLong)) } catch { case e: Throwable => (tmstName, None) } - } - case _ => (tmstName, None) - } - } - -} - -object CalcGroupGenerator { - private val counter: AtomicLong = new AtomicLong(0L) - - def genId: Long = increment - - private def increment: Long = { - counter.incrementAndGet() - } } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 31a23f0b9..c3a9ccb23 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -71,7 +71,7 @@ trait DataConnector extends Loggable with Serializable { // generate rule steps val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( - preProcRules, dsTmsts, DslType("spark-sql"), BatchProcessType, PreProcPhase) + ms, preProcRules, dsTmsts, DslType("spark-sql"), BatchProcessType, PreProcPhase) // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 711150e67..16a238d42 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -85,11 +85,11 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { dataSources.foreach(_.init) // init data sources - val dsTmsts = dqEngines.loadData(dataSources, startTime) + val dsTmsts = dqEngines.loadData(dataSources, appTime) // generate rule steps val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( - userParam.evaluateRuleParam, dsTmsts, BatchProcessType, RunPhase) + appTime, userParam.evaluateRuleParam, dsTmsts, BatchProcessType, RunPhase) // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 935d8bcc9..b576a184d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -57,7 +57,7 @@ case class StreamingDqThread(dqEngines: DqEngines, // generate rule steps val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( - evaluateRuleParam, dsTmsts, StreamingProcessType, RunPhase) + st, evaluateRuleParam, dsTmsts, StreamingProcessType, RunPhase) // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 81fc3d79a..c3aba01f6 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -18,7 +18,7 @@ under the License. */ package org.apache.griffin.measure.process.engine -import org.apache.griffin.measure.cache.tmst.TmstCache +import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} import org.apache.griffin.measure.data.connector.GroupByColumn import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.rule.dsl.{MetricPersistType, RecordPersistType} @@ -41,7 +41,7 @@ trait SparkDqEngine extends DqEngine { val pdf = sqlContext.table(s"`${name}`") val records: Array[String] = pdf.toJSON.collect() - val (metricName, tmstOpt) = TmstCache.extractTmstName(name) + val (metricName, tmstOpt) = TempName.extractTmstName(name) val pairs = records.flatMap { rec => try { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 5d488a7c8..b1c453cfd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -21,7 +21,7 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process.ProcessType import org.apache.griffin.measure.rule.step._ -case class DataFrameOprAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { +case class DataFrameOprAdaptor(timeStamp: Long, adaptPhase: AdaptPhase) extends RuleAdaptor { def genRuleStep(param: Map[String, Any]): Seq[RuleStep] = { DfOprStep(getName(param), getRule(param), getDetails(param), diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index a7a3e817f..fe8b3bcf4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -18,7 +18,7 @@ under the License. */ package org.apache.griffin.measure.rule.adaptor -import org.apache.griffin.measure.cache.tmst.TmstCache +import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} import org.apache.griffin.measure.data.connector.GroupByColumn import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} import org.apache.griffin.measure.rule.dsl._ @@ -28,7 +28,8 @@ import org.apache.griffin.measure.rule.dsl.parser.GriffinDslParser import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.ParamUtil._ -case class GriffinDslAdaptor(dataSourceNames: Seq[String], +case class GriffinDslAdaptor(timeStamp: Long, + dataSourceNames: Seq[String], functionNames: Seq[String], procType: ProcessType, adaptPhase: AdaptPhase @@ -329,7 +330,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], s"SELECT * ${fromClause} WHERE `${GroupByColumn.tmst}` = ${tmst}" } println(filterSql) - val tmstSourceName = TmstCache.tmstName(sourceName, tmst) + val tmstSourceName = TempName.tmstName(sourceName, tmst, timeStamp) val filterStep = SparkSqlStep( tmstSourceName, filterSql, @@ -345,7 +346,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } println(profilingSql) val metricName = resultName(details, ProfilingInfo._Profiling) - val tmstMetricName = TmstCache.tmstName(metricName, tmst) + val tmstMetricName = TempName.tmstName(metricName, tmst, timeStamp) val profilingStep = SparkSqlStep( tmstMetricName, profilingSql, @@ -356,21 +357,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], filterStep :: profilingStep :: Nil }.reduce(_ ::: _) - -// // 1. select statement -// val profilingSql = { -// s"SELECT ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" -// } -// val profilingMetricName = resultName(details, ProfilingInfo._Profiling) -// val profilingStep = SparkSqlStep( -// profilingMetricName, -// profilingSql, -// details, -// resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType), -// None -// ) -// -// profilingStep :: Nil + } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index 6899ef46b..dcc4ca715 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -29,6 +29,7 @@ import org.apache.griffin.measure.rule.dsl.{DslType, PersistType} trait RuleAdaptor extends Loggable with Serializable { + val timeStamp: Long val adaptPhase: AdaptPhase val _name = "name" diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 6f301db56..404f9e508 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -52,13 +52,13 @@ object RuleAdaptorGroup { } } - private def genRuleAdaptor(dslType: DslType, dsNames: Seq[String], + private def genRuleAdaptor(timeStamp: Long, dslType: DslType, dsNames: Seq[String], procType: ProcessType, adaptPhase: AdaptPhase ): Option[RuleAdaptor] = { dslType match { - case SparkSqlType => Some(SparkSqlAdaptor(adaptPhase)) - case DfOprType => Some(DataFrameOprAdaptor(adaptPhase)) - case GriffinDslType => Some(GriffinDslAdaptor(dsNames, functionNames, procType, adaptPhase)) + case SparkSqlType => Some(SparkSqlAdaptor(timeStamp, adaptPhase)) + case DfOprType => Some(DataFrameOprAdaptor(timeStamp, adaptPhase)) + case GriffinDslType => Some(GriffinDslAdaptor(timeStamp, dsNames, functionNames, procType, adaptPhase)) case _ => None } } @@ -79,22 +79,24 @@ object RuleAdaptorGroup { // steps // } - def genConcreteRuleSteps(evaluateRuleParam: EvaluateRuleParam, dsTmsts: Map[String, Set[Long]], - procType: ProcessType, adaptPhase: AdaptPhase + def genConcreteRuleSteps(timeStamp: Long, evaluateRuleParam: EvaluateRuleParam, + dsTmsts: Map[String, Set[Long]], procType: ProcessType, + adaptPhase: AdaptPhase ): Seq[ConcreteRuleStep] = { val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType val defaultDslType = DslType(dslTypeStr) val ruleParams = evaluateRuleParam.rules - genConcreteRuleSteps(ruleParams, dsTmsts, defaultDslType, procType, adaptPhase) + genConcreteRuleSteps(timeStamp, ruleParams, dsTmsts, defaultDslType, procType, adaptPhase) } - def genConcreteRuleSteps(ruleParams: Seq[Map[String, Any]], dsTmsts: Map[String, Set[Long]], - defDslType: DslType, procType: ProcessType, adaptPhase: AdaptPhase + def genConcreteRuleSteps(timeStamp: Long, ruleParams: Seq[Map[String, Any]], + dsTmsts: Map[String, Set[Long]], defDslType: DslType, + procType: ProcessType, adaptPhase: AdaptPhase ): Seq[ConcreteRuleStep] = { val (steps, dsNames) = ruleParams.foldLeft((Seq[ConcreteRuleStep](), dataSourceNames)) { (res, param) => val (preSteps, preNames) = res val dslType = getDslType(param, defDslType) - val (curSteps, curNames) = genRuleAdaptor(dslType, preNames, procType, adaptPhase) match { + val (curSteps, curNames) = genRuleAdaptor(timeStamp, dslType, preNames, procType, adaptPhase) match { case Some(ruleAdaptor) => (ruleAdaptor.genConcreteRuleStep(param, dsTmsts), preNames ++ ruleAdaptor.getTempSourceNames(param)) case _ => (Nil, preNames) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index 0e6f15fd1..eb1933eef 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -21,7 +21,7 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.data.connector.GroupByColumn import org.apache.griffin.measure.rule.step._ -case class SparkSqlAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { +case class SparkSqlAdaptor(timeStamp: Long, adaptPhase: AdaptPhase) extends RuleAdaptor { def genRuleStep(param: Map[String, Any]): Seq[RuleStep] = { SparkSqlStep(getName(param), getRule(param), getDetails(param), diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 2233cb3ac..da7e38bea 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -30,7 +30,7 @@ import org.scalamock.scalatest.MockFactory class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter with MockFactory { test ("profiling groupby") { - val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil, BatchProcessType, RunPhase) + val adaptor = GriffinDslAdaptor(0, "source" :: Nil, "count" :: Nil, BatchProcessType, RunPhase) val ruleJson = """ @@ -65,7 +65,7 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w } test ("accuracy") { - val adaptor = GriffinDslAdaptor("source" :: "target" :: Nil, "count" :: Nil, StreamingProcessType, RunPhase) + val adaptor = GriffinDslAdaptor(0, "source" :: "target" :: Nil, "count" :: Nil, StreamingProcessType, RunPhase) val ruleJson = """ From 9ea771d018ff773eedaa890430e3292055a732d7 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 22 Nov 2017 21:27:44 +0800 Subject: [PATCH 029/177] time info and rule info --- .../griffin/measure/cache/tmst/TempName.scala | 8 +- .../data/connector/DataConnector.scala | 3 +- .../measure/process/BatchDqProcess.scala | 3 +- .../measure/process/StreamingDqThread.scala | 3 +- .../process/engine/DataFrameOprEngine.scala | 20 +-- .../measure/process/engine/DqEngines.scala | 9 +- .../process/engine/SparkDqEngine.scala | 6 +- .../process/engine/SparkSqlEngine.scala | 8 +- .../rule/adaptor/DataFrameOprAdaptor.scala | 12 +- .../rule/adaptor/GriffinDslAdaptor.scala | 126 +++++++++++------- .../measure/rule/adaptor/RuleAdaptor.scala | 18 ++- .../rule/adaptor/RuleAdaptorGroup.scala | 18 +-- .../rule/adaptor/SparkSqlAdaptor.scala | 21 ++- .../measure/rule/step/ConcreteRuleStep.scala | 12 +- .../griffin/measure/rule/step/DfOprStep.scala | 4 +- .../measure/rule/step/GriffinDslStep.scala | 2 +- .../griffin/measure/rule/step/RuleStep.scala | 34 ++++- .../measure/rule/step/SparkSqlStep.scala | 4 +- .../rule/adaptor/GriffinDslAdaptorTest.scala | 13 +- 19 files changed, 198 insertions(+), 126 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala index 6ae9b62e9..ea4363068 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala @@ -19,15 +19,19 @@ under the License. package org.apache.griffin.measure.cache.tmst import org.apache.griffin.measure.log.Loggable +import org.apache.griffin.measure.rule.step.TimeInfo object TempName extends Loggable { //-- temp df name -- private val tmstNameRegex = """^(.*)\[(\d*)\]\((\d*)\)$""".r - def tmstName(name: String, tmst: Long, groupId: Long) = s"${name}[${tmst}](${groupId})" + def tmstName(name: String, timeInfo: TimeInfo) = { + val TimeInfo(calcTime, tmst) = timeInfo + s"${name}[${tmst}](${calcTime})" + } def extractTmstName(tmstName: String): (String, Option[Long]) = { tmstName match { - case tmstNameRegex(name, tmst, groupId) => { + case tmstNameRegex(name, tmst, _) => { try { (name, Some(tmst.toLong)) } catch { case e: Throwable => (tmstName, None) } } case _ => (tmstName, None) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index c3a9ccb23..2c89de58c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -28,6 +28,7 @@ import org.apache.griffin.measure.process.engine._ import org.apache.griffin.measure.rule.adaptor.{PreProcPhase, RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.preproc.PreProcRuleGenerator +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.functions._ import org.apache.spark.sql.{DataFrame, SQLContext} @@ -71,7 +72,7 @@ trait DataConnector extends Loggable with Serializable { // generate rule steps val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( - ms, preProcRules, dsTmsts, DslType("spark-sql"), BatchProcessType, PreProcPhase) + TimeInfo(ms, ms), preProcRules, dsTmsts, DslType("spark-sql"), BatchProcessType, PreProcPhase) // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 16a238d42..341408d32 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -27,6 +27,7 @@ import org.apache.griffin.measure.data.source.DataSourceFactory import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.{DqEngineFactory, SparkSqlEngine} import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.rule.udf.GriffinUdfs import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.sql.SQLContext @@ -89,7 +90,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // generate rule steps val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( - appTime, userParam.evaluateRuleParam, dsTmsts, BatchProcessType, RunPhase) + TimeInfo(appTime, appTime), userParam.evaluateRuleParam, dsTmsts, BatchProcessType, RunPhase) // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index b576a184d..41ea179f9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -29,6 +29,7 @@ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngines import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} +import org.apache.griffin.measure.rule.step.TimeInfo case class StreamingDqThread(dqEngines: DqEngines, dataSources: Seq[DataSource], @@ -57,7 +58,7 @@ case class StreamingDqThread(dqEngines: DqEngines, // generate rule steps val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( - st, evaluateRuleParam, dsTmsts, StreamingProcessType, RunPhase) + TimeInfo(st, st), evaluateRuleParam, dsTmsts, StreamingProcessType, RunPhase) // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index c3205b590..c78f4bb93 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -38,29 +38,29 @@ case class DataFrameOprEngine(sqlContext: SQLContext) extends SparkDqEngine { def runRuleStep(ruleStep: ConcreteRuleStep): Boolean = { ruleStep match { - case DfOprStep(name, rule, details, _, _) => { + case DfOprStep(_, ri) => { try { - rule match { + ri.rule match { case DataFrameOprs._fromJson => { - val df = DataFrameOprs.fromJson(sqlContext, details) - df.registerTempTable(name) + val df = DataFrameOprs.fromJson(sqlContext, ri.details) + df.registerTempTable(ri.name) } case DataFrameOprs._accuracy => { - val df = DataFrameOprs.accuracy(sqlContext, details) - df.registerTempTable(name) + val df = DataFrameOprs.accuracy(sqlContext, ri.details) + df.registerTempTable(ri.name) } case DataFrameOprs._clear => { - val df = DataFrameOprs.clear(sqlContext, details) - df.registerTempTable(name) + val df = DataFrameOprs.clear(sqlContext, ri.details) + df.registerTempTable(ri.name) } case _ => { - throw new Exception(s"df opr [ ${rule} ] not supported") + throw new Exception(s"df opr [ ${ri.rule} ] not supported") } } true } catch { case e: Throwable => { - error(s"run df opr [ ${rule} ] error: ${e.getMessage}") + error(s"run df opr [ ${ri.rule} ] error: ${e.getMessage}") false } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index fab270015..bfc95c29c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -46,7 +46,8 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { def persistAllMetrics(ruleSteps: Seq[ConcreteRuleStep], persistFactory: PersistFactory ): Iterable[Long] = { - val metricSteps = ruleSteps.filter(_.persistType == MetricPersistType) + val metricSteps = ruleSteps.filter(_.ruleInfo.persistType == MetricPersistType) + println(metricSteps) val allMetrics: Map[Long, Map[String, Any]] = { metricSteps.foldLeft(Map[Long, Map[String, Any]]()) { (ret, step) => val metrics = collectMetrics(step) @@ -169,7 +170,7 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { persistFactory: PersistFactory): Unit = { stepRdds.foreach { stepRdd => val (step, rdd) = stepRdd - if (step.persistType == RecordPersistType) { + if (step.ruleInfo.persistType == RecordPersistType) { val name = step.name rdd.foreach { pair => val (t, items) = pair @@ -184,9 +185,9 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { dataSources: Seq[DataSource]): Unit = { stepRdds.foreach { stepRdd => val (step, rdd) = stepRdd - if (step.updateDataSource.nonEmpty) { + if (step.ruleInfo.updateDataSourceOpt.nonEmpty) { val udpateDataSources = dataSources.filter { ds => - step.updateDataSource match { + step.ruleInfo.updateDataSourceOpt match { case Some(dsName) if (dsName == ds.name) => true case _ => false } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index c3aba01f6..612b3d853 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -35,7 +35,7 @@ trait SparkDqEngine extends DqEngine { if (collectable) { val emptyMap = Map[String, Any]() ruleStep match { - case step: ConcreteRuleStep if (step.persistType == MetricPersistType) => { + case step: ConcreteRuleStep if (step.ruleInfo.persistType == MetricPersistType) => { val name = step.name try { val pdf = sqlContext.table(s"`${name}`") @@ -81,8 +81,8 @@ trait SparkDqEngine extends DqEngine { ): Option[RDD[(Long, Iterable[String])]] = { if (collectable) { ruleStep match { - case step: ConcreteRuleStep if ((step.persistType == RecordPersistType) - || (step.updateDataSource.nonEmpty)) => { + case step: ConcreteRuleStep if ((step.ruleInfo.persistType == RecordPersistType) + || (step.ruleInfo.updateDataSourceOpt.nonEmpty)) => { val name = step.name try { val pdf = sqlContext.table(s"`${name}`") diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index 9c47d7713..e87f23e8b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -37,14 +37,14 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { def runRuleStep(ruleStep: ConcreteRuleStep): Boolean = { ruleStep match { - case SparkSqlStep(name, rule, _, _, _) => { + case SparkSqlStep(_, ri) => { try { - val rdf = sqlContext.sql(rule) - rdf.registerTempTable(name) + val rdf = sqlContext.sql(ri.rule) + rdf.registerTempTable(ri.name) true } catch { case e: Throwable => { - error(s"run spark sql [ ${rule} ] error: ${e.getMessage}") + error(s"run spark sql [ ${ri.rule} ] error: ${e.getMessage}") false } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index b1c453cfd..5967ddf4e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -21,15 +21,17 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process.ProcessType import org.apache.griffin.measure.rule.step._ -case class DataFrameOprAdaptor(timeStamp: Long, adaptPhase: AdaptPhase) extends RuleAdaptor { +case class DataFrameOprAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { - def genRuleStep(param: Map[String, Any]): Seq[RuleStep] = { - DfOprStep(getName(param), getRule(param), getDetails(param), - getPersistType(param), getUpdateDataSource(param)) :: Nil + def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { + val ruleInfo = RuleInfo(getName(param), getRule(param), getDetails(param)) + DfOprStep(timeInfo, ruleInfo) :: Nil +// DfOprStep(getName(param), getRule(param), getDetails(param), +// getPersistType(param), getUpdateDataSource(param)) :: Nil } def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] = { ruleStep match { - case rs @ DfOprStep(_, _, _, _, _) => rs :: Nil + case rs @ DfOprStep(_, _) => rs :: Nil case _ => Nil } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index fe8b3bcf4..5c788bae6 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -28,8 +28,7 @@ import org.apache.griffin.measure.rule.dsl.parser.GriffinDslParser import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.ParamUtil._ -case class GriffinDslAdaptor(timeStamp: Long, - dataSourceNames: Seq[String], +case class GriffinDslAdaptor(dataSourceNames: Seq[String], functionNames: Seq[String], procType: ProcessType, adaptPhase: AdaptPhase @@ -87,8 +86,10 @@ case class GriffinDslAdaptor(timeStamp: Long, } val parser = GriffinDslParser(dataSourceNames, filteredFunctionNames) - def genRuleStep(param: Map[String, Any]): Seq[RuleStep] = { - GriffinDslStep(getName(param), getRule(param), getDqType(param), getDetails(param)) :: Nil + def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { + val ruleInfo = RuleInfo(getName(param), getRule(param), getDetails(param)) + GriffinDslStep(timeInfo, ruleInfo, getDqType(param)) :: Nil +// GriffinDslStep(getName(param), getRule(param), getDqType(param), getDetails(param)) :: Nil } def getTempSourceNames(param: Map[String, Any]): Seq[String] = { @@ -131,13 +132,13 @@ case class GriffinDslAdaptor(timeStamp: Long, def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { ruleStep match { - case rs @ GriffinDslStep(_, rule, dqType, _) => { + case rs @ GriffinDslStep(_, ri, dqType) => { val exprOpt = try { - val result = parser.parseRule(rule, dqType) + val result = parser.parseRule(ri.rule, dqType) if (result.successful) Some(result.get) else { println(result) - warn(s"adapt concrete rule step warn: parse rule [ ${rule} ] fails") + warn(s"adapt concrete rule step warn: parse rule [ ${ri.rule} ] fails") None } } catch { @@ -165,8 +166,9 @@ case class GriffinDslAdaptor(timeStamp: Long, } } - private def transAccuracyRuleStep(details: Map[String, Any], expr: Expr, dsTmsts: Map[String, Set[Long]] + private def transAccuracyRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { + val details = ruleStep.ruleInfo.details val sourceName = getNameOpt(details, AccuracyInfo._Source).getOrElse(dataSourceNames.head) val targetName = getNameOpt(details, AccuracyInfo._Target).getOrElse(dataSourceNames.tail.head) val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) @@ -191,12 +193,18 @@ case class GriffinDslAdaptor(timeStamp: Long, } val missRecordsName = resultName(details, AccuracyInfo._MissRecords) val missRecordsStep = SparkSqlStep( - missRecordsName, - missRecordsSql, - Map[String, Any](), - resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType), - resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords) + ruleStep.timeInfo, + RuleInfo(missRecordsName, missRecordsSql, Map[String, Any]()) + .withPersistType(resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType)) + .withUpdateDataSourceOpt(resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords)) ) +// val missRecordsStep = SparkSqlStep( +// missRecordsName, +// missRecordsSql, +// Map[String, Any](), +// resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType), +// resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords) +// ) // 2. miss count val missTableName = "_miss_" @@ -206,12 +214,16 @@ case class GriffinDslAdaptor(timeStamp: Long, case StreamingProcessType => s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${GroupByColumn.tmst}`" } val missStep = SparkSqlStep( - missTableName, - missSql, - Map[String, Any](), - NonePersistType, - None + ruleStep.timeInfo, + RuleInfo(missTableName, missSql, Map[String, Any]()) ) +// val missStep = SparkSqlStep( +// missTableName, +// missSql, +// Map[String, Any](), +// NonePersistType, +// None +// ) // 3. total count val totalTableName = "_total_" @@ -221,12 +233,16 @@ case class GriffinDslAdaptor(timeStamp: Long, case StreamingProcessType => s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${GroupByColumn.tmst}`" } val totalStep = SparkSqlStep( - totalTableName, - totalSql, - Map[String, Any](), - NonePersistType, - None + ruleStep.timeInfo, + RuleInfo(totalTableName, totalSql, Map[String, Any]()) ) +// val totalStep = SparkSqlStep( +// totalTableName, +// totalSql, +// Map[String, Any](), +// NonePersistType, +// None +// ) // 4. accuracy metric val matchedColName = getNameOpt(details, AccuracyInfo._Matched).getOrElse(AccuracyInfo._Matched) @@ -248,33 +264,47 @@ case class GriffinDslAdaptor(timeStamp: Long, } val accuracyMetricName = resultName(details, AccuracyInfo._Accuracy) val accuracyMetricStep = SparkSqlStep( - accuracyMetricName, - accuracyMetricSql, - details, - NonePersistType, - None + ruleStep.timeInfo, + RuleInfo(accuracyMetricName, accuracyMetricSql, details) ) +// val accuracyMetricStep = SparkSqlStep( +// accuracyMetricName, +// accuracyMetricSql, +// details, +// NonePersistType, +// None +// ) // 5. accuracy metric filter val accuracyStep = DfOprStep( - accuracyMetricName, - "accuracy", - Map[String, Any]( + ruleStep.timeInfo, + RuleInfo(accuracyMetricName, "accuracy", Map[String, Any]( ("df.name" -> accuracyMetricName), ("miss" -> missColName), ("total" -> totalColName), ("matched" -> matchedColName) - ), - resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType), - None + )).withPersistType(resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType)) ) +// val accuracyStep = DfOprStep( +// accuracyMetricName, +// "accuracy", +// Map[String, Any]( +// ("df.name" -> accuracyMetricName), +// ("miss" -> missColName), +// ("total" -> totalColName), +// ("matched" -> matchedColName) +// ), +// resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType), +// None +// ) missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil } } - private def transProfilingRuleStep(details: Map[String, Any], expr: Expr, dsTmsts: Map[String, Set[Long]] + private def transProfilingRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { + val details = ruleStep.ruleInfo.details val profilingClause = expr.asInstanceOf[ProfilingClause] val sourceName = profilingClause.fromClauseOpt match { case Some(fc) => fc.dataSource @@ -325,18 +355,17 @@ case class GriffinDslAdaptor(timeStamp: Long, Nil } else { tmsts.map { tmst => + val timeInfo = TimeInfo(ruleStep.timeInfo.calcTime, tmst) + // 1. where statement val filterSql = { s"SELECT * ${fromClause} WHERE `${GroupByColumn.tmst}` = ${tmst}" } println(filterSql) - val tmstSourceName = TempName.tmstName(sourceName, tmst, timeStamp) + val tmstSourceName = TempName.tmstName(sourceName, timeInfo) val filterStep = SparkSqlStep( - tmstSourceName, - filterSql, - Map[String, Any](), - NonePersistType, - None + timeInfo, + RuleInfo(tmstSourceName, filterSql, Map[String, Any]()) ) // 2. select statement @@ -346,13 +375,11 @@ case class GriffinDslAdaptor(timeStamp: Long, } println(profilingSql) val metricName = resultName(details, ProfilingInfo._Profiling) - val tmstMetricName = TempName.tmstName(metricName, tmst, timeStamp) + val tmstMetricName = TempName.tmstName(metricName, timeInfo) val profilingStep = SparkSqlStep( - tmstMetricName, - profilingSql, - details, - resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType), - None + timeInfo, + RuleInfo(tmstMetricName, profilingSql, details) + .withPersistType(resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType)) ) filterStep :: profilingStep :: Nil @@ -363,10 +390,9 @@ case class GriffinDslAdaptor(timeStamp: Long, private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { - val details = ruleStep.details ruleStep.dqType match { case AccuracyType => { - transAccuracyRuleStep(details, expr, dsTmsts) + transAccuracyRuleStep(ruleStep, expr, dsTmsts) // val sourceName = getNameOpt(details, AccuracyInfo._Source) match { // case Some(name) => name @@ -474,7 +500,7 @@ case class GriffinDslAdaptor(timeStamp: Long, // } } case ProfilingType => { - transProfilingRuleStep(details, expr, dsTmsts) + transProfilingRuleStep(ruleStep, expr, dsTmsts) // val profilingClause = expr.asInstanceOf[ProfilingClause] // val sourceName = profilingClause.fromClauseOpt match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index dcc4ca715..1aa18516f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -20,28 +20,26 @@ package org.apache.griffin.measure.rule.adaptor import java.util.concurrent.atomic.AtomicLong - import scala.collection.mutable.{Set => MutableSet} import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.rule.step.{ConcreteRuleStep, RuleStep} +import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.rule.dsl.{DslType, PersistType} trait RuleAdaptor extends Loggable with Serializable { - val timeStamp: Long val adaptPhase: AdaptPhase val _name = "name" val _rule = "rule" - val _persistType = "persist.type" - val _updateDataSource = "update.data.source" +// val _persistType = "persist.type" +// val _updateDataSource = "update.data.source" val _details = "details" protected def getName(param: Map[String, Any]) = param.getOrElse(_name, RuleStepNameGenerator.genName).toString protected def getRule(param: Map[String, Any]) = param.getOrElse(_rule, "").toString - protected def getPersistType(param: Map[String, Any]) = PersistType(param.getOrElse(_persistType, "").toString) - protected def getUpdateDataSource(param: Map[String, Any]) = param.get(_updateDataSource).map(_.toString) +// protected def getPersistType(param: Map[String, Any]) = PersistType(param.getOrElse(_persistType, "").toString) +// protected def getUpdateDataSource(param: Map[String, Any]) = param.get(_updateDataSource).map(_.toString) protected def getDetails(param: Map[String, Any]) = param.get(_details) match { case Some(dt: Map[String, Any]) => dt case _ => Map[String, Any]() @@ -49,10 +47,10 @@ trait RuleAdaptor extends Loggable with Serializable { def getTempSourceNames(param: Map[String, Any]): Seq[String] - def genRuleStep(param: Map[String, Any]): Seq[RuleStep] - def genConcreteRuleStep(param: Map[String, Any], dsTmsts: Map[String, Set[Long]] + def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] + def genConcreteRuleStep(timeInfo: TimeInfo, param: Map[String, Any], dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { - genRuleStep(param).flatMap { rs => + genRuleStep(timeInfo, param).flatMap { rs => adaptConcreteRuleStep(rs, dsTmsts) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 404f9e508..9e4c98b40 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -52,13 +52,13 @@ object RuleAdaptorGroup { } } - private def genRuleAdaptor(timeStamp: Long, dslType: DslType, dsNames: Seq[String], + private def genRuleAdaptor(dslType: DslType, dsNames: Seq[String], procType: ProcessType, adaptPhase: AdaptPhase ): Option[RuleAdaptor] = { dslType match { - case SparkSqlType => Some(SparkSqlAdaptor(timeStamp, adaptPhase)) - case DfOprType => Some(DataFrameOprAdaptor(timeStamp, adaptPhase)) - case GriffinDslType => Some(GriffinDslAdaptor(timeStamp, dsNames, functionNames, procType, adaptPhase)) + case SparkSqlType => Some(SparkSqlAdaptor(adaptPhase)) + case DfOprType => Some(DataFrameOprAdaptor(adaptPhase)) + case GriffinDslType => Some(GriffinDslAdaptor(dsNames, functionNames, procType, adaptPhase)) case _ => None } } @@ -79,25 +79,25 @@ object RuleAdaptorGroup { // steps // } - def genConcreteRuleSteps(timeStamp: Long, evaluateRuleParam: EvaluateRuleParam, + def genConcreteRuleSteps(timeInfo: TimeInfo, evaluateRuleParam: EvaluateRuleParam, dsTmsts: Map[String, Set[Long]], procType: ProcessType, adaptPhase: AdaptPhase ): Seq[ConcreteRuleStep] = { val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType val defaultDslType = DslType(dslTypeStr) val ruleParams = evaluateRuleParam.rules - genConcreteRuleSteps(timeStamp, ruleParams, dsTmsts, defaultDslType, procType, adaptPhase) + genConcreteRuleSteps(timeInfo, ruleParams, dsTmsts, defaultDslType, procType, adaptPhase) } - def genConcreteRuleSteps(timeStamp: Long, ruleParams: Seq[Map[String, Any]], + def genConcreteRuleSteps(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], dsTmsts: Map[String, Set[Long]], defDslType: DslType, procType: ProcessType, adaptPhase: AdaptPhase ): Seq[ConcreteRuleStep] = { val (steps, dsNames) = ruleParams.foldLeft((Seq[ConcreteRuleStep](), dataSourceNames)) { (res, param) => val (preSteps, preNames) = res val dslType = getDslType(param, defDslType) - val (curSteps, curNames) = genRuleAdaptor(timeStamp, dslType, preNames, procType, adaptPhase) match { - case Some(ruleAdaptor) => (ruleAdaptor.genConcreteRuleStep(param, dsTmsts), + val (curSteps, curNames) = genRuleAdaptor(dslType, preNames, procType, adaptPhase) match { + case Some(ruleAdaptor) => (ruleAdaptor.genConcreteRuleStep(timeInfo, param, dsTmsts), preNames ++ ruleAdaptor.getTempSourceNames(param)) case _ => (Nil, preNames) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index eb1933eef..4e2b679c9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -21,21 +21,28 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.data.connector.GroupByColumn import org.apache.griffin.measure.rule.step._ -case class SparkSqlAdaptor(timeStamp: Long, adaptPhase: AdaptPhase) extends RuleAdaptor { +case class SparkSqlAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { - def genRuleStep(param: Map[String, Any]): Seq[RuleStep] = { - SparkSqlStep(getName(param), getRule(param), getDetails(param), - getPersistType(param), getUpdateDataSource(param)) :: Nil + def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { + val ruleInfo = RuleInfo(getName(param), getRule(param), getDetails(param)) + SparkSqlStep(timeInfo, ruleInfo) :: Nil +// SparkSqlStep(getName(param), getRule(param), getDetails(param), +// getPersistType(param), getUpdateDataSource(param)) :: Nil } def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] = { ruleStep match { - case rs @ SparkSqlStep(name, rule, details, persistType, udsOpt) => { + case rs @ SparkSqlStep(ti, ri) => { adaptPhase match { case PreProcPhase => rs :: Nil case RunPhase => { - val repSel = rule.replaceFirst("(?i)select", s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`,") +// val repSel = rule.replaceFirst("(?i)select", s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`,") +// val groupbyRule = repSel.concat(s" GROUP BY `${GroupByColumn.tmst}`") +// val nrs = SparkSqlStep(name, groupbyRule, details, persistType, udsOpt) +// nrs :: Nil + val repSel = ri.rule.replaceFirst("(?i)select", s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`,") val groupbyRule = repSel.concat(s" GROUP BY `${GroupByColumn.tmst}`") - val nrs = SparkSqlStep(name, groupbyRule, details, persistType, udsOpt) + val nri = RuleInfo(ri.name, groupbyRule, ri.details) + val nrs = SparkSqlStep(ti, nri) nrs :: Nil } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/ConcreteRuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/ConcreteRuleStep.scala index 4b3a4d4c2..82e2fb1fb 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/ConcreteRuleStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/ConcreteRuleStep.scala @@ -22,9 +22,17 @@ import org.apache.griffin.measure.rule.dsl._ trait ConcreteRuleStep extends RuleStep { - val persistType: PersistType +// val _persistType = "persist.type" +// val _updateDataSource = "update.data.source" +// +// def persistType = PersistType(ruleInfo.details.getOrElse(_persistType, "").toString) +// def updateDataSourceOpt = ruleInfo.details.get(_updateDataSource).map(_.toString) - val updateDataSource: Option[String] + + +// val persistType: PersistType + +// val updateDataSource: Option[String] // def isGroupMetric: Boolean = { // val _GroupMetric = "group.metric" diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/DfOprStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/DfOprStep.scala index 86f0bf396..54411a583 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/DfOprStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/DfOprStep.scala @@ -20,9 +20,7 @@ package org.apache.griffin.measure.rule.step import org.apache.griffin.measure.rule.dsl._ -case class DfOprStep(name: String, rule: String, details: Map[String, Any], - persistType: PersistType, updateDataSource: Option[String] - ) extends ConcreteRuleStep { +case class DfOprStep(timeInfo: TimeInfo, ruleInfo: RuleInfo) extends ConcreteRuleStep { val dslType: DslType = DfOprType diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/GriffinDslStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/GriffinDslStep.scala index 21db8cff9..5f8aea1e3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/GriffinDslStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/GriffinDslStep.scala @@ -20,7 +20,7 @@ package org.apache.griffin.measure.rule.step import org.apache.griffin.measure.rule.dsl._ -case class GriffinDslStep(name: String, rule: String, dqType: DqType, details: Map[String, Any] +case class GriffinDslStep(timeInfo: TimeInfo, ruleInfo: RuleInfo, dqType: DqType ) extends RuleStep { val dslType: DslType = GriffinDslType diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala index 4675ffe7d..a55fa8b9c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala @@ -18,14 +18,40 @@ under the License. */ package org.apache.griffin.measure.rule.step -import org.apache.griffin.measure.rule.dsl.{DslType, PersistType} +import org.apache.griffin.measure.rule.dsl._ trait RuleStep extends Serializable { val dslType: DslType - val name: String - val rule: String - val details: Map[String, Any] + val timeInfo: TimeInfo + + val ruleInfo: RuleInfo + + def name = ruleInfo.name + +// val name: String +// val rule: String +// val details: Map[String, Any] } + +case class TimeInfo(calcTime: Long, tmst: Long) {} + +case class RuleInfo(name: String, rule: String, details: Map[String, Any]) { + private val _persistType = "persist.type" + private val _updateDataSource = "update.data.source" + + def persistType = PersistType(details.getOrElse(_persistType, "").toString) + def updateDataSourceOpt = details.get(_updateDataSource).map(_.toString) + + def withPersistType(pt: PersistType): RuleInfo = { + RuleInfo(name, rule, details + (_persistType -> pt.desc)) + } + def withUpdateDataSourceOpt(udsOpt: Option[String]): RuleInfo = { + udsOpt match { + case Some(uds) => RuleInfo(name, rule, details + (_updateDataSource -> uds)) + case _ => this + } + } +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/SparkSqlStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/SparkSqlStep.scala index 62c3c350f..7152ac2f9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/SparkSqlStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/SparkSqlStep.scala @@ -21,9 +21,7 @@ package org.apache.griffin.measure.rule.step import org.apache.griffin.measure.persist._ import org.apache.griffin.measure.rule.dsl._ -case class SparkSqlStep(name: String, rule: String, details: Map[String, Any], - persistType: PersistType, updateDataSource: Option[String] - ) extends ConcreteRuleStep { +case class SparkSqlStep(timeInfo: TimeInfo, ruleInfo: RuleInfo) extends ConcreteRuleStep { val dslType: DslType = SparkSqlType diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index da7e38bea..a9de27a2d 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -20,6 +20,7 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process._ import org.apache.griffin.measure.process.check.DataChecker +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.junit.runner.RunWith import org.scalatest.junit.JUnitRunner @@ -30,7 +31,7 @@ import org.scalamock.scalatest.MockFactory class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter with MockFactory { test ("profiling groupby") { - val adaptor = GriffinDslAdaptor(0, "source" :: Nil, "count" :: Nil, BatchProcessType, RunPhase) + val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil, BatchProcessType, RunPhase) val ruleJson = """ @@ -57,15 +58,15 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w RuleAdaptorGroup.dataChecker = dataCheckerMock val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234))) - val steps = adaptor.genConcreteRuleStep(rule, dsTmsts) + val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) steps.foreach { step => - println(s"${step.name} [${step.dslType}]: ${step.rule}") + println(s"${step.name} [${step.dslType}]: ${step.ruleInfo.rule}") } } test ("accuracy") { - val adaptor = GriffinDslAdaptor(0, "source" :: "target" :: Nil, "count" :: Nil, StreamingProcessType, RunPhase) + val adaptor = GriffinDslAdaptor("source" :: "target" :: Nil, "count" :: Nil, StreamingProcessType, RunPhase) val ruleJson = """ @@ -90,10 +91,10 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w RuleAdaptorGroup.dataChecker = dataCheckerMock val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234)), ("target" -> Set[Long](1234))) - val steps = adaptor.genConcreteRuleStep(rule, dsTmsts) + val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) steps.foreach { step => - println(s"${step.name} [${step.dslType}]: ${step.rule}") + println(s"${step.name} [${step.dslType}]: ${step.ruleInfo.rule}") } } From 4b25faa9100fb4f3cc94d85259ce7b8392b424c5 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 23 Nov 2017 14:09:57 +0800 Subject: [PATCH 030/177] streaming debug --- .../griffin/measure/data/connector/DataConnector.scala | 9 +++++---- .../griffin/measure/process/engine/DqEngines.scala | 1 - .../griffin/measure/rule/adaptor/GriffinDslAdaptor.scala | 2 ++ .../org/apache/griffin/measure/utils/HdfsUtil.scala | 2 +- 4 files changed, 8 insertions(+), 6 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 2c89de58c..efa55ae85 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -56,7 +56,7 @@ trait DataConnector extends Loggable with Serializable { final val tmstColName = GroupByColumn.tmst protected def saveTmst(t: Long) = TmstCache.insert(t) - protected def readTmst(t: Long) = TmstCache.range(t, t + 2) + protected def readTmst(t: Long) = TmstCache.range(t, t + 1) def preProcess(dfOpt: Option[DataFrame], ms: Long): Option[DataFrame] = { val thisTable = thisName(ms) @@ -91,13 +91,14 @@ trait DataConnector extends Loggable with Serializable { // add tmst val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) - val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)) +// val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)) // tmst cache saveTmst(ms) - saveTmst(ms + 1) +// saveTmst(ms + 1) - Some(withTmstDf unionAll withTmstDf1) + Some(withTmstDf) +// Some(withTmstDf unionAll withTmstDf1) } } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index bfc95c29c..6f917c9d5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -47,7 +47,6 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { def persistAllMetrics(ruleSteps: Seq[ConcreteRuleStep], persistFactory: PersistFactory ): Iterable[Long] = { val metricSteps = ruleSteps.filter(_.ruleInfo.persistType == MetricPersistType) - println(metricSteps) val allMetrics: Map[Long, Map[String, Any]] = { metricSteps.foldLeft(Map[Long, Map[String, Any]]()) { (ret, step) => val metrics = collectMetrics(step) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 5c788bae6..6e2877dc3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -351,6 +351,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val preGroupbyClause = analyzer.preGroupbyExprs.map(_.desc).mkString(" ") val postGroupbyClause = analyzer.postGroupbyExprs.map(_.desc).mkString(" ") + println("begin adaptor") + if (!checkDataSourceExists(sourceName)) { Nil } else { diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index 9fa6bcfbe..69f63beed 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.set("dfs.support.append", "true") -// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost + conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) From aa19d760320ff83aa0b881d714356ca8e9b0599d Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 23 Nov 2017 14:58:46 +0800 Subject: [PATCH 031/177] debug streaming --- .../measure/data/source/DataSource.scala | 10 ++++-- .../measure/process/StreamingDqThread.scala | 2 ++ .../rule/adaptor/GriffinDslAdaptor.scala | 36 ++++++++++--------- 3 files changed, 28 insertions(+), 20 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 7685be796..9ec3311a1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -65,14 +65,18 @@ case class DataSource(sqlContext: SQLContext, } private def data(ms: Long): (Option[DataFrame], Set[Long]) = { - val (batchDataFrameOpt, batchTmsts) = batchDataConnectors.map(_.data(ms)).reduce( (a, b) => - (unionDfOpts(a._1, b._1), a._2 ++ b._2) - ) + val batchPairs = batchDataConnectors.map(_.data(ms)) + println(batchPairs.size) + val (batchDataFrameOpt, batchTmsts) = (None, Set.empty[Long]) +// val (batchDataFrameOpt, batchTmsts) = batchDataConnectors.map(_.data(ms)).reduce( (a, b) => +// (unionDfOpts(a._1, b._1), a._2 ++ b._2) +// ) val (cacheDataFrameOpt, cacheTmsts) = dataSourceCacheOpt match { case Some(dsc) => dsc.readData() case _ => (None, Set.empty[Long]) } + println("go") (unionDfOpts(batchDataFrameOpt, cacheDataFrameOpt), batchTmsts ++ cacheTmsts) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 41ea179f9..fcb69f762 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -56,6 +56,8 @@ case class StreamingDqThread(dqEngines: DqEngines, // init data sources val dsTmsts = dqEngines.loadData(dataSources, st) + println(dsTmsts) + // generate rule steps val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( TimeInfo(st, st), evaluateRuleParam, dsTmsts, StreamingProcessType, RunPhase) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 6e2877dc3..670e901fd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -326,26 +326,28 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], s"${sel.desc}${alias}" } - val selClause = procType match { - case BatchProcessType => selExprDescs.mkString(", ") - case StreamingProcessType => { - if (analyzer.containsAllSelectionExpr) { - selExprDescs.mkString(", ") - } else { - (s"`${GroupByColumn.tmst}`" +: selExprDescs).mkString(", ") - } - } - } + val selClause = selExprDescs.mkString(", ") +// val selClause = procType match { +// case BatchProcessType => selExprDescs.mkString(", ") +// case StreamingProcessType => { +// if (analyzer.containsAllSelectionExpr) { +// selExprDescs.mkString(", ") +// } else { +// (s"`${GroupByColumn.tmst}`" +: selExprDescs).mkString(", ") +// } +// } +// } val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc - val groupByClauseOpt = procType match { - case BatchProcessType => analyzer.groupbyExprOpt - case StreamingProcessType => { - val tmstGroupByClause = GroupbyClause(LiteralStringExpr(s"`${GroupByColumn.tmst}`") :: Nil, None) - Some(tmstGroupByClause.merge(analyzer.groupbyExprOpt.getOrElse(GroupbyClause(Nil, None)))) - } - } + val groupByClauseOpt = analyzer.groupbyExprOpt +// val groupByClauseOpt = procType match { +// case BatchProcessType => analyzer.groupbyExprOpt +// case StreamingProcessType => { +// val tmstGroupByClause = GroupbyClause(LiteralStringExpr(s"`${GroupByColumn.tmst}`") :: Nil, None) +// Some(tmstGroupByClause.merge(analyzer.groupbyExprOpt.getOrElse(GroupbyClause(Nil, None)))) +// } +// } val groupbyClause = groupByClauseOpt.map(_.desc).getOrElse("") val preGroupbyClause = analyzer.preGroupbyExprs.map(_.desc).mkString(" ") From 579afc9a60d23dae7bd27d92c520d7a7b325cf05 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 23 Nov 2017 16:21:23 +0800 Subject: [PATCH 032/177] not done --- .../griffin/measure/data/source/DataSource.scala | 10 ++++++++++ .../measure/rule/adaptor/GriffinDslAdaptor.scala | 4 ++-- 2 files changed, 12 insertions(+), 2 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 9ec3311a1..751d98328 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -65,12 +65,22 @@ case class DataSource(sqlContext: SQLContext, } private def data(ms: Long): (Option[DataFrame], Set[Long]) = { + if (batchDataConnectors.size > 0) val batchPairs = batchDataConnectors.map(_.data(ms)) println(batchPairs.size) val (batchDataFrameOpt, batchTmsts) = (None, Set.empty[Long]) // val (batchDataFrameOpt, batchTmsts) = batchDataConnectors.map(_.data(ms)).reduce( (a, b) => // (unionDfOpts(a._1, b._1), a._2 ++ b._2) // ) + val batches: Seq[(DataFrame, Set[Long])] = batchDataConnectors.flatMap { dc => + val (dfOpt, tmsts) = dc.data(ms) + dfOpt.map((_, tmsts)) + } + val caches: List[(Option[DataFrame], Set[Long])] = dataSourceCacheOpt match { + case Some(dsc) => dsc.readData() :: Nil + case _ => Nil + } + val pairs: Seq[Option[DataFrame], Set[Long]] = batches ++ caches val (cacheDataFrameOpt, cacheTmsts) = dataSourceCacheOpt match { case Some(dsc) => dsc.readData() diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 670e901fd..bdf21b6fb 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -39,7 +39,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val _PersistType = "persist.type" val _UpdateDataSource = "update.data.source" def getNameOpt(param: Map[String, Any]): Option[String] = param.get(_Name).map(_.toString) - def getPersistType(param: Map[String, Any]): PersistType = PersistType(param.getString(_PersistType, "")) + def getPersistType(param: Map[String, Any], defPersistType: PersistType): PersistType = PersistType(param.getString(_PersistType, defPersistType.desc)) def getUpdateDataSourceOpt(param: Map[String, Any]): Option[String] = param.get(_UpdateDataSource).map(_.toString) } object AccuracyInfo { @@ -66,7 +66,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } def resultPersistType(param: Map[String, Any], key: String, defPersistType: PersistType): PersistType = { param.get(key) match { - case Some(prm: Map[String, Any]) => StepInfo.getPersistType(prm) + case Some(prm: Map[String, Any]) => StepInfo.getPersistType(prm, defPersistType) case _ => defPersistType } } From b1b0616950395f660fbea44c4dd376bfc93547e8 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 23 Nov 2017 17:03:35 +0800 Subject: [PATCH 033/177] streaming running --- .../measure/data/source/DataSource.scala | 36 ++++++++++++------- .../rule/adaptor/GriffinDslAdaptor.scala | 1 + .../config-test-profiling-streaming.json | 2 +- 3 files changed, 25 insertions(+), 14 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 751d98328..9f96bd046 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -65,30 +65,40 @@ case class DataSource(sqlContext: SQLContext, } private def data(ms: Long): (Option[DataFrame], Set[Long]) = { - if (batchDataConnectors.size > 0) - val batchPairs = batchDataConnectors.map(_.data(ms)) - println(batchPairs.size) - val (batchDataFrameOpt, batchTmsts) = (None, Set.empty[Long]) +// val batchPairs = batchDataConnectors.map(_.data(ms)) +// println(batchPairs.size) +// val (batchDataFrameOpt, batchTmsts) = (None, Set.empty[Long]) // val (batchDataFrameOpt, batchTmsts) = batchDataConnectors.map(_.data(ms)).reduce( (a, b) => // (unionDfOpts(a._1, b._1), a._2 ++ b._2) // ) - val batches: Seq[(DataFrame, Set[Long])] = batchDataConnectors.flatMap { dc => + val batches = batchDataConnectors.flatMap { dc => val (dfOpt, tmsts) = dc.data(ms) - dfOpt.map((_, tmsts)) + dfOpt match { + case Some(df) => Some((dfOpt, tmsts)) + case _ => None + } } - val caches: List[(Option[DataFrame], Set[Long])] = dataSourceCacheOpt match { + val caches = dataSourceCacheOpt match { case Some(dsc) => dsc.readData() :: Nil case _ => Nil } - val pairs: Seq[Option[DataFrame], Set[Long]] = batches ++ caches + val pairs = batches ++ caches - val (cacheDataFrameOpt, cacheTmsts) = dataSourceCacheOpt match { - case Some(dsc) => dsc.readData() - case _ => (None, Set.empty[Long]) + if (pairs.size > 0) { + pairs.reduce { (a, b) => + (unionDfOpts(a._1, b._1), a._2 ++ b._2) + } + } else { + (None, Set.empty[Long]) } - println("go") - (unionDfOpts(batchDataFrameOpt, cacheDataFrameOpt), batchTmsts ++ cacheTmsts) +// val (cacheDataFrameOpt, cacheTmsts) = dataSourceCacheOpt match { +// case Some(dsc) => dsc.readData() +// case _ => (None, Set.empty[Long]) +// } +// println("go") + +// (unionDfOpts(batchDataFrameOpt, cacheDataFrameOpt), batchTmsts ++ cacheTmsts) } private def unionDfOpts(dfOpt1: Option[DataFrame], dfOpt2: Option[DataFrame] diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index bdf21b6fb..1b6324dd3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -354,6 +354,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val postGroupbyClause = analyzer.postGroupbyExprs.map(_.desc).mkString(" ") println("begin adaptor") + println(s"sourceName: ${sourceName}") if (!checkDataSourceExists(sourceName)) { Nil diff --git a/measure/src/test/resources/config-test-profiling-streaming.json b/measure/src/test/resources/config-test-profiling-streaming.json index b2a74b87e..bcab650d4 100644 --- a/measure/src/test/resources/config-test-profiling-streaming.json +++ b/measure/src/test/resources/config-test-profiling-streaming.json @@ -54,7 +54,7 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "source.name.count(), source.age.avg(), source.age.max(), source.age.min() group by source.name", + "rule": "name.count(), age.avg(), age.max(), age.min() group by name", "details": { "source": "source", "profiling": { From cac6fc8ae4f2c846f068e54fae9569e682528363 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 23 Nov 2017 17:45:19 +0800 Subject: [PATCH 034/177] not fixed bug: data source head name --- .../rule/adaptor/GriffinDslAdaptor.scala | 17 ++++++++++++++++- .../rule/dsl/analyzer/ProfilingAnalyzer.scala | 12 ++++++++++-- .../measure/rule/dsl/expr/SelectExpr.scala | 4 ++-- .../measure/rule/dsl/parser/BasicParser.scala | 2 +- .../config-test-profiling-streaming.json | 2 +- .../test/resources/config-test-profiling1.json | 13 +------------ .../rule/dsl/parser/BasicParserTest.scala | 12 ++++++++++++ 7 files changed, 43 insertions(+), 19 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 1b6324dd3..ea6906576 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -361,13 +361,28 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } else { tmsts.map { tmst => val timeInfo = TimeInfo(ruleStep.timeInfo.calcTime, tmst) + val tmstSourceName = TempName.tmstName(sourceName, timeInfo) + +// val selExprDescs = analyzer.selectionExprs.map { sel => +// sel.head match { +// case head @ DataSourceHeadExpr(name) if (name == sourceName) => { +// head.name = s"`${tmstSourceName}`" +// } +// case _ => {} +// } +// val alias = sel match { +// case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" +// case _ => "" +// } +// s"${sel.desc}${alias}" +// } +// val selClause = selExprDescs.mkString(", ") // 1. where statement val filterSql = { s"SELECT * ${fromClause} WHERE `${GroupByColumn.tmst}` = ${tmst}" } println(filterSql) - val tmstSourceName = TempName.tmstName(sourceName, timeInfo) val filterStep = SparkSqlStep( timeInfo, RuleInfo(tmstSourceName, filterSql, Map[String, Any]()) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/ProfilingAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/ProfilingAnalyzer.scala index 34bdbd32d..cbaf508f5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/ProfilingAnalyzer.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/ProfilingAnalyzer.scala @@ -30,11 +30,19 @@ case class ProfilingAnalyzer(expr: ProfilingClause, sourceName: String) extends expr.selectClause.preOrderTraverseDepthFirst(Seq[SelectionExpr]())(seq, combSelectionExprs) } - val selectionExprs = expr.selectClause.exprs.map(_.extractSelf) + val selectionExprs: Seq[SelectionExpr] = { + expr.selectClause.exprs.map(_.extractSelf).flatMap { expr => + expr match { + case e: SelectionExpr => Some(e) + case _ => None + } + } + } + def containsAllSelectionExpr = { selectionExprs.filter { expr => expr match { - case SelectionExpr(head: ALLSelectHeadExpr, selectors: Seq[SelectExpr], _) => { + case SelectionExpr(head: AllSelectHeadExpr, selectors: Seq[SelectExpr], _) => { selectors.isEmpty } case SelectionExpr(head: DataSourceHeadExpr, selectors: Seq[SelectExpr], _) => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala index 6525c8877..0c7dbef99 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala @@ -22,7 +22,7 @@ trait HeadExpr extends Expr with AliasableExpr { def alias: Option[String] = None } -case class DataSourceHeadExpr(name: String) extends HeadExpr { +case class DataSourceHeadExpr(var name: String) extends HeadExpr { def desc: String = name def coalesceDesc: String = desc } @@ -38,7 +38,7 @@ case class FieldNameHeadExpr(field: String) extends HeadExpr { } } -case class ALLSelectHeadExpr() extends HeadExpr { +case class AllSelectHeadExpr() extends HeadExpr { def desc: String = "*" def coalesceDesc: String = desc } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala index 6415a02d0..f02b8b02f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala @@ -217,7 +217,7 @@ trait BasicParser extends JavaTokenParsers with Serializable { } | UnQuoteTableFieldName ^^ { s => FieldNameHeadExpr(innerString(s)) } | ALLSL ^^ { _ => - ALLSelectHeadExpr() + AllSelectHeadExpr() } def selector: Parser[SelectExpr] = functionSelect | allFieldsSelect | fieldSelect | indexSelect def allFieldsSelect: Parser[AllFieldsSelectExpr] = DOT ~> ALLSL ^^ { _ => AllFieldsSelectExpr() } diff --git a/measure/src/test/resources/config-test-profiling-streaming.json b/measure/src/test/resources/config-test-profiling-streaming.json index bcab650d4..b2a74b87e 100644 --- a/measure/src/test/resources/config-test-profiling-streaming.json +++ b/measure/src/test/resources/config-test-profiling-streaming.json @@ -54,7 +54,7 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "name.count(), age.avg(), age.max(), age.min() group by name", + "rule": "source.name.count(), source.age.avg(), source.age.max(), source.age.min() group by source.name", "details": { "source": "source", "profiling": { diff --git a/measure/src/test/resources/config-test-profiling1.json b/measure/src/test/resources/config-test-profiling1.json index 104e828de..f6c251a88 100644 --- a/measure/src/test/resources/config-test-profiling1.json +++ b/measure/src/test/resources/config-test-profiling1.json @@ -25,23 +25,12 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "select user_id.max() as max, user_id.min() as min, user_id.count() as cnt from source", + "rule": "select source.user_id.max() as max, user_id.min() as min, user_id.count() as cnt from source", "details": { "profiling": { "persist.type": "metric" } } - }, - { - "dsl.type": "griffin-dsl", - "dq.type": "profiling", - "rule": "select user_id as id, user_id.count() as cnt from source group by user_id order by cnt desc, id desc limit 3", - "details": { - "profiling": { - "name": "id-group", - "persist.type": "metric" - } - } } ] } diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala index 5f13af790..d633a7927 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala @@ -18,6 +18,7 @@ under the License. */ package org.apache.griffin.measure.rule.dsl.parser +import org.apache.griffin.measure.rule.dsl.ProfilingType import org.apache.griffin.measure.rule.dsl.expr._ import org.junit.runner.RunWith import org.scalatest.junit.JUnitRunner @@ -219,4 +220,15 @@ class BasicParserTest extends FunSuite with Matchers with BeforeAndAfter { println(result.get.desc) } + test ("profiling") { + val griffinParser = GriffinDslParser( + "target" :: Nil, + "max" :: "min" :: Nil + ) + val rule = "source.name, source.name.max(), source.name.min() group by source.name" + val result = griffinParser.parseRule(rule, ProfilingType) + result.successful should be (true) + println(result.get) + } + } From 63617fe0ad97cda376218043eaa65aa9b3662446 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 23 Nov 2017 17:49:51 +0800 Subject: [PATCH 035/177] hdfs --- .../main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index 69f63beed..9fa6bcfbe 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.set("dfs.support.append", "true") - conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost +// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) From 205f6e284ae74c8a6d5cb8e27ab0395c946d9340 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 24 Nov 2017 11:16:37 +0800 Subject: [PATCH 036/177] mongo ing --- measure/pom.xml | 8 + .../measure/persist/MongoPersist.scala | 181 ++++++++++++++++++ .../measure/persist/MongoThreadPool.scala | 73 +++++++ .../measure/persist/PersistFactory.scala | 2 + .../measure/persist/PersistThreadPool.scala | 2 +- .../griffin/measure/utils/ParamUtil.scala | 11 ++ .../test/resources/env-streaming-mongo.json | 60 ++++++ .../measure/persist/MongoPersistTest.scala | 57 ++++++ 8 files changed, 393 insertions(+), 1 deletion(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/persist/MongoThreadPool.scala create mode 100644 measure/src/test/resources/env-streaming-mongo.json create mode 100644 measure/src/test/scala/org/apache/griffin/measure/persist/MongoPersistTest.scala diff --git a/measure/pom.xml b/measure/pom.xml index 9d48cabdb..1deba8bef 100644 --- a/measure/pom.xml +++ b/measure/pom.xml @@ -45,6 +45,7 @@ under the License. 1.7.7 2.8.7 2.3.0 + 2.1.0 4.11 3.0.0 1.7.21 @@ -105,6 +106,13 @@ under the License. ${scalaj.version} + + + org.mongodb.scala + mongo-scala-driver_2.11 + ${mongo.version} + + com.databricks diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala new file mode 100644 index 000000000..f94fabf8d --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala @@ -0,0 +1,181 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.persist + +import org.mongodb.scala._ +import org.apache.griffin.measure.utils.ParamUtil._ +import org.mongodb.scala.model.{Filters, UpdateOptions, Updates} +import org.mongodb.scala.result.UpdateResult + +import scala.concurrent.Future + + +case class MongoPersist(config: Map[String, Any], metricName: String, timeStamp: Long) extends Persist { + + MongoConnection.init(config) + +// val Url = "url" +// val Database = "database" +// val Collection = "collection" +// val _ID = "_id" +// +// val IdGen = "id.gen" + +// def mongoConf(cfg: Map[String, Any]): MongoConf = { +// MongoConf( +// s"mongodb://${config.getString(Url, "")}", +// config.getString(Database, ""), +// config.getString(Collection, ""), +// config.getString(_ID, "") +// ) +// } +// def mongoCollection(mongoConf: MongoConf): MongoCollection[Document] = { +// val mongoClient: MongoClient = MongoClient(mongoConf.url) +// val database: MongoDatabase = mongoClient.getDatabase(mongoConf.database) +// database.getCollection(mongoConf.collection) +// } + +// val dataConf = mongoConf(config) +// val idGenOpt = config.getParamMapOpt(IdGen) +// val idGenConfOpt = idGenOpt.map(mongoConf(_)) +// +// val dataCollection: MongoCollection[Document] = mongoCollection(dataConf) +// val idGenCollectionOpt: Option[MongoCollection[Document]] = idGenConfOpt.map(mongoCollection(_)) + + val _Value = "value" + + def available(): Boolean = MongoConnection.dataConf.available + + def start(msg: String): Unit = {} + def finish(): Unit = {} + + def log(rt: Long, msg: String): Unit = {} + + def persistRecords(records: Iterable[String], name: String): Unit = {} + + def persistMetrics(metrics: Map[String, Any]): Unit = { + mongoInsert(metrics) + } + + private val filter = Filters.and( + Filters.eq("metricName", metricName), + Filters.eq("timestamp", timeStamp) + ) + private val idKey = MongoConnection.idGenConfOpt match { + case Some(conf) => conf._id + case _ => "" + } + private val idFilter = Filters.eq(MongoConnection._ID, idKey) + private val idUpdate = Updates.inc(idKey, 1) + private def mongoInsert(dataMap: Map[String, Any]): Unit = { + try { + MongoConnection.getIdGenCollectionOpt match { + case Some(idc) => { + idc.findOne() + idc.findOneAndUpdate(idFilter, idUpdate) + .subscribe((result: Document) => { + val id = result.getLong(idKey) + mongoInsert(dataMap, Some(id)) + }) +// mongoInsert(dataMap, None) + } + case _ => { + mongoInsert(dataMap, None) + } + } + } catch { + case e: Throwable => error(e.getMessage) + } + } + private def mongoInsert(dataMap: Map[String, Any], idOpt: Option[Long]): Unit = { + try { + val update = idOpt match { + case Some(id) => Updates.combine( + Updates.set(_Value, dataMap), + Updates.set(MongoConnection._ID, id) + ) + case _ => Updates.combine( + Updates.set(_Value, dataMap) + ) + } + def func(): (Long, Future[UpdateResult]) = { + (timeStamp, MongoConnection.getDataCollection.updateOne( + filter, update, UpdateOptions().upsert(true)).toFuture) + } + MongoThreadPool.addTask(func _, 10) + } catch { + case e: Throwable => error(e.getMessage) + } + } + +} + +case class MongoConf(url: String, database: String, collection: String, _id: String) { + def available: Boolean = url.nonEmpty && database.nonEmpty && collection.nonEmpty +} + +object MongoConnection { + + val Url = "url" + val Database = "database" + val Collection = "collection" + val _ID = "_id" + + val IdGen = "id.gen" + + private var initialed = false + + var dataConf: MongoConf = null + var idGenOpt: Option[Map[String, Any]] = null + var idGenConfOpt: Option[MongoConf] = null + + private var dataCollection: MongoCollection[Document] = null + private var idGenCollectionOpt: Option[MongoCollection[Document]] = null + + def getDataCollection = dataCollection + def getIdGenCollectionOpt = idGenCollectionOpt + + def init(config: Map[String, Any]): Unit = { + if (!initialed) { + dataConf = mongoConf(config) + idGenOpt = config.getParamMapOpt(IdGen) + idGenConfOpt = idGenOpt.map(mongoConf(_)) + + dataCollection = mongoCollection(dataConf) + idGenCollectionOpt = idGenConfOpt.map(mongoCollection(_)) + + initialed = true + } + } + + def mongoConf(cfg: Map[String, Any]): MongoConf = { + MongoConf( + s"mongodb://${cfg.getString(Url, "")}", + cfg.getString(Database, ""), + cfg.getString(Collection, ""), + cfg.getString(_ID, "") + ) + } + def mongoCollection(mongoConf: MongoConf): MongoCollection[Document] = { + val mongoClient: MongoClient = MongoClient(mongoConf.url) + val database: MongoDatabase = mongoClient.getDatabase(mongoConf.database) + database.getCollection(mongoConf.collection) + } + +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/MongoThreadPool.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/MongoThreadPool.scala new file mode 100644 index 000000000..2f43edbab --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/MongoThreadPool.scala @@ -0,0 +1,73 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.persist + +import java.util.Date +import java.util.concurrent.{Executors, ThreadPoolExecutor, TimeUnit} + +import scala.concurrent.Future +import scala.util.{Failure, Success} + +object MongoThreadPool { + + import scala.concurrent.ExecutionContext.Implicits.global + + private val pool: ThreadPoolExecutor = Executors.newFixedThreadPool(5).asInstanceOf[ThreadPoolExecutor] + val MAX_RETRY = 100 + + def shutdown(): Unit = { + pool.shutdown() + pool.awaitTermination(10, TimeUnit.SECONDS) + } + + def addTask(func: () => (Long, Future[_]), retry: Int): Unit = { + val r = if (retry < 0) MAX_RETRY else retry + println(s"add task, current task num: ${pool.getQueue.size}") + pool.submit(Task(func, r)) + } + + case class Task(func: () => (Long, Future[_]), retry: Int) extends Runnable { + + override def run(): Unit = { + val st = new Date().getTime + val (t, res) = func() + res.onComplete { + case Success(value) => { + val et = new Date().getTime + println(s"task ${t} success [ using time ${et - st} ms ]") + } + case Failure(e) => { + val et = new Date().getTime + println(s"task ${t} fails [ using time ${et - st} ms ] : ${e.getMessage}") + if (retry > 0) { + println(s"task ${t} retry [ rest retry count: ${retry - 1} ]") + pool.submit(Task(func, retry - 1)) + } else { + println(s"task ${t} retry ends but fails") + } + } + } + } + + def fail(): Unit = { + println("task fails") + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/PersistFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/PersistFactory.scala index 3a743431e..b2e34a9b2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/PersistFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/PersistFactory.scala @@ -29,6 +29,7 @@ case class PersistFactory(persistParams: Iterable[PersistParam], metricName: Str val HTTP_REGEX = """^(?i)http$""".r // val OLDHTTP_REGEX = """^(?i)oldhttp$""".r val LOG_REGEX = """^(?i)log$""".r + val MONGO_REGEX = """^(?i)mongo$""".r def getPersists(timeStamp: Long): MultiPersists = { MultiPersists(persistParams.flatMap(param => getPersist(timeStamp, param))) @@ -42,6 +43,7 @@ case class PersistFactory(persistParams: Iterable[PersistParam], metricName: Str case HTTP_REGEX() => Try(HttpPersist(config, metricName, timeStamp)) // case OLDHTTP_REGEX() => Try(OldHttpPersist(config, metricName, timeStamp)) case LOG_REGEX() => Try(LoggerPersist(config, metricName, timeStamp)) + case MONGO_REGEX() => Try(MongoPersist(config, metricName, timeStamp)) case _ => throw new Exception("not supported persist type") } persistTry match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/PersistThreadPool.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/PersistThreadPool.scala index 7993aab21..0a647b453 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/PersistThreadPool.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/PersistThreadPool.scala @@ -22,7 +22,7 @@ import java.util.concurrent.{Executors, ThreadPoolExecutor, TimeUnit} object PersistThreadPool { - private val pool: ThreadPoolExecutor = Executors.newFixedThreadPool(10).asInstanceOf[ThreadPoolExecutor] + private val pool: ThreadPoolExecutor = Executors.newFixedThreadPool(5).asInstanceOf[ThreadPoolExecutor] val MAX_RETRY = 100 def shutdown(): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala index 7954b6d09..14556e16a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala @@ -159,6 +159,17 @@ object ParamUtil { case _: Throwable => defValue } } + + def getParamMapOpt(key: String): Option[Map[String, Any]] = { + try { + params.get(key) match { + case Some(v: Map[String, Any]) => Some(v) + case _ => None + } + } catch { + case _: Throwable => None + } + } } } diff --git a/measure/src/test/resources/env-streaming-mongo.json b/measure/src/test/resources/env-streaming-mongo.json new file mode 100644 index 000000000..45b737055 --- /dev/null +++ b/measure/src/test/resources/env-streaming-mongo.json @@ -0,0 +1,60 @@ +{ + "spark": { + "log.level": "WARN", + "checkpoint.dir": "hdfs://localhost/test/griffin/cp", + "batch.interval": "2s", + "process.interval": "10s", + "config": { + "spark.master": "local[*]", + "spark.task.maxFailures": 5, + "spark.streaming.kafkaMaxRatePerPartition": 1000, + "spark.streaming.concurrentJobs": 4, + "spark.yarn.maxAppAttempts": 5, + "spark.yarn.am.attemptFailuresValidityInterval": "1h", + "spark.yarn.max.executor.failures": 120, + "spark.yarn.executor.failuresValidityInterval": "1h", + "spark.hadoop.fs.hdfs.impl.disable.cache": true + } + }, + + "persist": [ + { + "type": "log", + "config": { + "max.log.lines": 100 + } + }, + { + "type": "mongo", + "config": { + "url": "10.103.178.206", + "database": "unitdb0", + "collection": "dq_metrics_values", + "id.gen": { + "url": "10.103.178.206", + "database": "unitdb0", + "collection": "SEQUENCE", + "_id": "SEQ_ID" + } + } + } + ], + + "info.cache": [ + { + "type": "zk", + "config": { + "hosts": "localhost:2181", + "namespace": "griffin/infocache", + "lock.path": "lock", + "mode": "persist", + "init.clear": true, + "close.clear": false + } + } + ], + + "cleaner": { + "clean.interval": "2m" + } +} \ No newline at end of file diff --git a/measure/src/test/scala/org/apache/griffin/measure/persist/MongoPersistTest.scala b/measure/src/test/scala/org/apache/griffin/measure/persist/MongoPersistTest.scala new file mode 100644 index 000000000..d593045ce --- /dev/null +++ b/measure/src/test/scala/org/apache/griffin/measure/persist/MongoPersistTest.scala @@ -0,0 +1,57 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.persist + +import org.junit.runner.RunWith +import org.scalatest.junit.JUnitRunner +import org.scalatest.{BeforeAndAfter, FunSuite, Matchers} + +@RunWith(classOf[JUnitRunner]) +class MongoPersistTest extends FunSuite with Matchers with BeforeAndAfter { + + val config: Map[String, Any] = Map[String, Any]( + ("url" -> "10.149.247.156"), + ("database" -> "test"), + ("collection" -> "sss"), + ("id.gen" -> Map[String, Any]( + ("url" -> "10.149.247.156"), + ("database" -> "test"), + ("collection" -> "SEQUENCE"), + ("_id" -> "SSS_ID") + )) + ) + val metricName: String = "m7" +// val timeStamp: Long = 123456789L + +// val mongoPersist = MongoPersist(config, metricName, timeStamp) + + test ("test persist metric") { + val metrics = Map[String, Any]( + ("cnt" -> 1234), + ("avg" -> 12), + ("min" -> 3) + ) + + val mongoPersist1 = MongoPersist(config, metricName, 12345L) + mongoPersist1.persistMetrics(metrics) + + Thread.sleep(5000L) + } + +} From 184bd1def193a30413b546fff1dc24bf7b5e27a0 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Sun, 26 Nov 2017 19:04:27 +0800 Subject: [PATCH 037/177] add mongo persist --- .../measure/persist/MongoPersist.scala | 106 ++++-------------- .../rule/adaptor/GriffinDslAdaptor.scala | 2 +- .../config-test-profiling-streaming.json | 13 ++- .../test/resources/env-streaming-mongo.json | 12 +- .../measure/persist/MongoPersistTest.scala | 38 +++---- 5 files changed, 50 insertions(+), 121 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala index f94fabf8d..580122d4d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala @@ -24,40 +24,15 @@ import org.mongodb.scala.model.{Filters, UpdateOptions, Updates} import org.mongodb.scala.result.UpdateResult import scala.concurrent.Future +import scala.util.{Failure, Success} case class MongoPersist(config: Map[String, Any], metricName: String, timeStamp: Long) extends Persist { MongoConnection.init(config) -// val Url = "url" -// val Database = "database" -// val Collection = "collection" -// val _ID = "_id" -// -// val IdGen = "id.gen" - -// def mongoConf(cfg: Map[String, Any]): MongoConf = { -// MongoConf( -// s"mongodb://${config.getString(Url, "")}", -// config.getString(Database, ""), -// config.getString(Collection, ""), -// config.getString(_ID, "") -// ) -// } -// def mongoCollection(mongoConf: MongoConf): MongoCollection[Document] = { -// val mongoClient: MongoClient = MongoClient(mongoConf.url) -// val database: MongoDatabase = mongoClient.getDatabase(mongoConf.database) -// database.getCollection(mongoConf.collection) -// } - -// val dataConf = mongoConf(config) -// val idGenOpt = config.getParamMapOpt(IdGen) -// val idGenConfOpt = idGenOpt.map(mongoConf(_)) -// -// val dataCollection: MongoCollection[Document] = mongoCollection(dataConf) -// val idGenCollectionOpt: Option[MongoCollection[Document]] = idGenConfOpt.map(mongoCollection(_)) - + val _MetricName = "metricName" + val _Timestamp = "timestamp" val _Value = "value" def available(): Boolean = MongoConnection.dataConf.available @@ -74,46 +49,13 @@ case class MongoPersist(config: Map[String, Any], metricName: String, timeStamp: } private val filter = Filters.and( - Filters.eq("metricName", metricName), - Filters.eq("timestamp", timeStamp) + Filters.eq(_MetricName, metricName), + Filters.eq(_Timestamp, timeStamp) ) - private val idKey = MongoConnection.idGenConfOpt match { - case Some(conf) => conf._id - case _ => "" - } - private val idFilter = Filters.eq(MongoConnection._ID, idKey) - private val idUpdate = Updates.inc(idKey, 1) + private def mongoInsert(dataMap: Map[String, Any]): Unit = { try { - MongoConnection.getIdGenCollectionOpt match { - case Some(idc) => { - idc.findOne() - idc.findOneAndUpdate(idFilter, idUpdate) - .subscribe((result: Document) => { - val id = result.getLong(idKey) - mongoInsert(dataMap, Some(id)) - }) -// mongoInsert(dataMap, None) - } - case _ => { - mongoInsert(dataMap, None) - } - } - } catch { - case e: Throwable => error(e.getMessage) - } - } - private def mongoInsert(dataMap: Map[String, Any], idOpt: Option[Long]): Unit = { - try { - val update = idOpt match { - case Some(id) => Updates.combine( - Updates.set(_Value, dataMap), - Updates.set(MongoConnection._ID, id) - ) - case _ => Updates.combine( - Updates.set(_Value, dataMap) - ) - } + val update = Updates.set(_Value, dataMap) def func(): (Long, Future[UpdateResult]) = { (timeStamp, MongoConnection.getDataCollection.updateOne( filter, update, UpdateOptions().upsert(true)).toFuture) @@ -126,53 +68,45 @@ case class MongoPersist(config: Map[String, Any], metricName: String, timeStamp: } -case class MongoConf(url: String, database: String, collection: String, _id: String) { +case class MongoConf(url: String, database: String, collection: String) { def available: Boolean = url.nonEmpty && database.nonEmpty && collection.nonEmpty } object MongoConnection { + val _MongoHead = "mongodb://" + val Url = "url" val Database = "database" val Collection = "collection" - val _ID = "_id" - - val IdGen = "id.gen" private var initialed = false - var dataConf: MongoConf = null - var idGenOpt: Option[Map[String, Any]] = null - var idGenConfOpt: Option[MongoConf] = null - - private var dataCollection: MongoCollection[Document] = null - private var idGenCollectionOpt: Option[MongoCollection[Document]] = null + var dataConf: MongoConf = _ + private var dataCollection: MongoCollection[Document] = _ def getDataCollection = dataCollection - def getIdGenCollectionOpt = idGenCollectionOpt def init(config: Map[String, Any]): Unit = { if (!initialed) { dataConf = mongoConf(config) - idGenOpt = config.getParamMapOpt(IdGen) - idGenConfOpt = idGenOpt.map(mongoConf(_)) - dataCollection = mongoCollection(dataConf) - idGenCollectionOpt = idGenConfOpt.map(mongoCollection(_)) - initialed = true } } - def mongoConf(cfg: Map[String, Any]): MongoConf = { + private def mongoConf(cfg: Map[String, Any]): MongoConf = { + val url = cfg.getString(Url, "").trim + val mongoUrl = if (url.startsWith(_MongoHead)) url else { + _MongoHead + url + } MongoConf( - s"mongodb://${cfg.getString(Url, "")}", + mongoUrl, cfg.getString(Database, ""), - cfg.getString(Collection, ""), - cfg.getString(_ID, "") + cfg.getString(Collection, "") ) } - def mongoCollection(mongoConf: MongoConf): MongoCollection[Document] = { + private def mongoCollection(mongoConf: MongoConf): MongoCollection[Document] = { val mongoClient: MongoClient = MongoClient(mongoConf.url) val database: MongoDatabase = mongoClient.getDatabase(mongoConf.database) database.getCollection(mongoConf.collection) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index ea6906576..5db0bd317 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -403,7 +403,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], ) filterStep :: profilingStep :: Nil - }.reduce(_ ::: _) + }.foldLeft(Nil: List[ConcreteRuleStep])(_ ::: _) } } diff --git a/measure/src/test/resources/config-test-profiling-streaming.json b/measure/src/test/resources/config-test-profiling-streaming.json index b2a74b87e..e219ce760 100644 --- a/measure/src/test/resources/config-test-profiling-streaming.json +++ b/measure/src/test/resources/config-test-profiling-streaming.json @@ -54,7 +54,7 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "source.name.count(), source.age.avg(), source.age.max(), source.age.min() group by source.name", + "rule": "name, *.count() group by name", "details": { "source": "source", "profiling": { @@ -62,6 +62,17 @@ "persist.type": "metric" } } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "rule": "name.count(), age.min(), age.avg(), age.max()", + "details": { + "source": "source", + "profiling": { + "persist.type": "metric" + } + } } ] } diff --git a/measure/src/test/resources/env-streaming-mongo.json b/measure/src/test/resources/env-streaming-mongo.json index 45b737055..0d504626e 100644 --- a/measure/src/test/resources/env-streaming-mongo.json +++ b/measure/src/test/resources/env-streaming-mongo.json @@ -27,15 +27,9 @@ { "type": "mongo", "config": { - "url": "10.103.178.206", - "database": "unitdb0", - "collection": "dq_metrics_values", - "id.gen": { - "url": "10.103.178.206", - "database": "unitdb0", - "collection": "SEQUENCE", - "_id": "SEQ_ID" - } + "url": "10.149.247.156", + "database": "test", + "collection": "sss" } } ], diff --git a/measure/src/test/scala/org/apache/griffin/measure/persist/MongoPersistTest.scala b/measure/src/test/scala/org/apache/griffin/measure/persist/MongoPersistTest.scala index d593045ce..1a0deddb2 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/persist/MongoPersistTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/persist/MongoPersistTest.scala @@ -19,39 +19,29 @@ under the License. package org.apache.griffin.measure.persist import org.junit.runner.RunWith +import org.mongodb.scala.{Completed, Document} +import org.mongodb.scala.model.{Filters, UpdateOptions, Updates} +import org.mongodb.scala.result.UpdateResult import org.scalatest.junit.JUnitRunner import org.scalatest.{BeforeAndAfter, FunSuite, Matchers} +import scala.util.Success + @RunWith(classOf[JUnitRunner]) class MongoPersistTest extends FunSuite with Matchers with BeforeAndAfter { - val config: Map[String, Any] = Map[String, Any]( - ("url" -> "10.149.247.156"), - ("database" -> "test"), - ("collection" -> "sss"), - ("id.gen" -> Map[String, Any]( - ("url" -> "10.149.247.156"), - ("database" -> "test"), - ("collection" -> "SEQUENCE"), - ("_id" -> "SSS_ID") - )) + val config = Map[String, Any]( + ("url" -> "mongodb://111.111.111.111"), + ("database" -> "db"), + ("collection" -> "cl") ) - val metricName: String = "m7" -// val timeStamp: Long = 123456789L - -// val mongoPersist = MongoPersist(config, metricName, timeStamp) - - test ("test persist metric") { - val metrics = Map[String, Any]( - ("cnt" -> 1234), - ("avg" -> 12), - ("min" -> 3) - ) + val metricName: String = "metric" + val timeStamp: Long = 123456789L - val mongoPersist1 = MongoPersist(config, metricName, 12345L) - mongoPersist1.persistMetrics(metrics) + val mongoPersist = MongoPersist(config, metricName, timeStamp) - Thread.sleep(5000L) + test("available") { + mongoPersist.available should be (true) } } From d9d0badd156765c94665d7525331c44e03aa5e5e Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 27 Nov 2017 13:56:47 +0800 Subject: [PATCH 038/177] replace head of selection --- .../rule/adaptor/GriffinDslAdaptor.scala | 86 +++++++------------ .../rule/dsl/expr/ClauseExpression.scala | 40 +++++++++ .../griffin/measure/rule/dsl/expr/Expr.scala | 3 + .../measure/rule/dsl/expr/FunctionExpr.scala | 4 + .../measure/rule/dsl/expr/LogicalExpr.scala | 34 ++++++++ .../measure/rule/dsl/expr/MathExpr.scala | 14 +++ .../measure/rule/dsl/expr/SelectExpr.scala | 39 +++++---- .../measure/rule/dsl/parser/BasicParser.scala | 12 ++- .../config-test-profiling-streaming.json | 16 +++- .../resources/config-test-profiling1.json | 2 +- 10 files changed, 168 insertions(+), 82 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 5db0bd317..6ddb633e2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -316,46 +316,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } val tmsts = dsTmsts.getOrElse(sourceName, Set.empty[Long]) - val analyzer = ProfilingAnalyzer(profilingClause, sourceName) - - val selExprDescs = analyzer.selectionExprs.map { sel => - val alias = sel match { - case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" - case _ => "" - } - s"${sel.desc}${alias}" - } - - val selClause = selExprDescs.mkString(", ") -// val selClause = procType match { -// case BatchProcessType => selExprDescs.mkString(", ") -// case StreamingProcessType => { -// if (analyzer.containsAllSelectionExpr) { -// selExprDescs.mkString(", ") -// } else { -// (s"`${GroupByColumn.tmst}`" +: selExprDescs).mkString(", ") -// } -// } -// } - val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc - val groupByClauseOpt = analyzer.groupbyExprOpt -// val groupByClauseOpt = procType match { -// case BatchProcessType => analyzer.groupbyExprOpt -// case StreamingProcessType => { -// val tmstGroupByClause = GroupbyClause(LiteralStringExpr(s"`${GroupByColumn.tmst}`") :: Nil, None) -// Some(tmstGroupByClause.merge(analyzer.groupbyExprOpt.getOrElse(GroupbyClause(Nil, None)))) -// } -// } - - val groupbyClause = groupByClauseOpt.map(_.desc).getOrElse("") - val preGroupbyClause = analyzer.preGroupbyExprs.map(_.desc).mkString(" ") - val postGroupbyClause = analyzer.postGroupbyExprs.map(_.desc).mkString(" ") - - println("begin adaptor") - println(s"sourceName: ${sourceName}") - if (!checkDataSourceExists(sourceName)) { Nil } else { @@ -363,37 +325,37 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val timeInfo = TimeInfo(ruleStep.timeInfo.calcTime, tmst) val tmstSourceName = TempName.tmstName(sourceName, timeInfo) -// val selExprDescs = analyzer.selectionExprs.map { sel => -// sel.head match { -// case head @ DataSourceHeadExpr(name) if (name == sourceName) => { -// head.name = s"`${tmstSourceName}`" -// } -// case _ => {} -// } -// val alias = sel match { -// case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" -// case _ => "" -// } -// s"${sel.desc}${alias}" -// } -// val selClause = selExprDescs.mkString(", ") + val tmstProfilingClause = profilingClause.map(dsHeadReplace(sourceName, tmstSourceName)) + val tmstAnalyzer = ProfilingAnalyzer(tmstProfilingClause, tmstSourceName) + + val selExprDescs = tmstAnalyzer.selectionExprs.map { sel => + val alias = sel match { + case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" + case _ => "" + } + s"${sel.desc}${alias}" + } + val selClause = selExprDescs.mkString(", ") + val tmstFromClause = tmstProfilingClause.fromClauseOpt.getOrElse(FromClause(tmstSourceName)).desc + val groupByClauseOpt = tmstAnalyzer.groupbyExprOpt + val groupbyClause = groupByClauseOpt.map(_.desc).getOrElse("") + val preGroupbyClause = tmstAnalyzer.preGroupbyExprs.map(_.desc).mkString(" ") + val postGroupbyClause = tmstAnalyzer.postGroupbyExprs.map(_.desc).mkString(" ") // 1. where statement val filterSql = { s"SELECT * ${fromClause} WHERE `${GroupByColumn.tmst}` = ${tmst}" } - println(filterSql) val filterStep = SparkSqlStep( timeInfo, RuleInfo(tmstSourceName, filterSql, Map[String, Any]()) ) // 2. select statement - val partFromClause = FromClause(tmstSourceName).desc +// val partFromClause = FromClause(tmstSourceName).desc val profilingSql = { - s"SELECT ${selClause} ${partFromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" + s"SELECT ${selClause} ${tmstFromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" } - println(profilingSql) val metricName = resultName(details, ProfilingInfo._Profiling) val tmstMetricName = TempName.tmstName(metricName, timeInfo) val profilingStep = SparkSqlStep( @@ -408,6 +370,18 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } + private def dsHeadReplace(originName: String, replaceName: String): (Expr) => Expr = { expr: Expr => + expr match { + case DataSourceHeadExpr(sn) if (sn == originName) => { + DataSourceHeadExpr(replaceName) + } + case FromClause(sn) if (sn == originName) => { + FromClause(replaceName) + } + case _ => expr.map(dsHeadReplace(originName, replaceName)) + } + } + private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { ruleStep.dqType match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala index c0986e1a6..fe5678bdd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala @@ -28,6 +28,10 @@ case class SelectClause(exprs: Seq[Expr]) extends ClauseExpression { def desc: String = s"${exprs.map(_.desc).mkString(", ")}" def coalesceDesc: String = desc + override def map(func: (Expr) => Expr): SelectClause = { + SelectClause(exprs.map(func(_))) + } + } case class FromClause(dataSource: String) extends ClauseExpression { @@ -44,6 +48,10 @@ case class WhereClause(expr: Expr) extends ClauseExpression { def desc: String = s"WHERE ${expr.desc}" def coalesceDesc: String = s"WHERE ${expr.coalesceDesc}" + override def map(func: (Expr) => Expr): WhereClause = { + WhereClause(func(expr)) + } + } case class GroupbyClause(exprs: Seq[Expr], havingClauseOpt: Option[Expr]) extends ClauseExpression { @@ -79,6 +87,10 @@ case class GroupbyClause(exprs: Seq[Expr], havingClauseOpt: Option[Expr]) extend GroupbyClause(exprs ++ other.exprs, newHavingClauseOpt) } + override def map(func: (Expr) => Expr): GroupbyClause = { + GroupbyClause(exprs.map(func(_)), havingClauseOpt.map(func(_))) + } + } case class OrderbyItem(expr: Expr, orderOpt: Option[String]) extends Expr { @@ -90,6 +102,10 @@ case class OrderbyItem(expr: Expr, orderOpt: Option[String]) extends Expr { } } def coalesceDesc: String = desc + + override def map(func: (Expr) => Expr): OrderbyItem = { + OrderbyItem(func(expr), orderOpt) + } } case class OrderbyClause(items: Seq[OrderbyItem]) extends ClauseExpression { @@ -104,6 +120,10 @@ case class OrderbyClause(items: Seq[OrderbyItem]) extends ClauseExpression { val obs = items.map(_.desc).mkString(", ") s"ORDER BY ${obs}" } + + override def map(func: (Expr) => Expr): OrderbyClause = { + OrderbyClause(items.map(func(_).asInstanceOf[OrderbyItem])) + } } case class LimitClause(expr: Expr) extends ClauseExpression { @@ -112,6 +132,10 @@ case class LimitClause(expr: Expr) extends ClauseExpression { def desc: String = s"LIMIT ${expr.desc}" def coalesceDesc: String = s"LIMIT ${expr.coalesceDesc}" + + override def map(func: (Expr) => Expr): LimitClause = { + LimitClause(func(expr)) + } } case class CombinedClause(selectClause: SelectClause, fromClauseOpt: Option[FromClause], @@ -139,6 +163,13 @@ case class CombinedClause(selectClause: SelectClause, fromClauseOpt: Option[From s"${head} ${tail.coalesceDesc}" } } + + override def map(func: (Expr) => Expr): CombinedClause = { + CombinedClause(func(selectClause).asInstanceOf[SelectClause], + fromClauseOpt.map(func(_).asInstanceOf[FromClause]), + tails.map(func(_).asInstanceOf[ClauseExpression]) + ) + } } case class ProfilingClause(selectClause: SelectClause, @@ -171,4 +202,13 @@ case class ProfilingClause(selectClause: SelectClause, val postDesc = postGroupbyClauses.map(_.coalesceDesc).mkString(" ") s"${selectDesc} ${fromDesc} ${preDesc} ${groupbyDesc} ${postDesc}" } + + override def map(func: (Expr) => Expr): ProfilingClause = { + ProfilingClause(func(selectClause).asInstanceOf[SelectClause], + fromClauseOpt.map(func(_).asInstanceOf[FromClause]), + groupbyClauseOpt.map(func(_).asInstanceOf[GroupbyClause]), + preGroupbyClauses.map(func(_).asInstanceOf[ClauseExpression]), + postGroupbyClauses.map(func(_).asInstanceOf[ClauseExpression]) + ) + } } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala index 850579c3f..603fd1a48 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala @@ -26,4 +26,7 @@ trait Expr extends TreeNode with Serializable { def extractSelf: Expr = this + // execution + def map(func: (Expr) => Expr): Expr = this + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala index e33b03dbb..d10684890 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala @@ -30,4 +30,8 @@ case class FunctionExpr(functionName: String, args: Seq[Expr], aliasOpt: Option[ Some(functionName) } else aliasOpt } + + override def map(func: (Expr) => Expr): FunctionExpr = { + FunctionExpr(functionName, args.map(func(_)), aliasOpt) + } } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/LogicalExpr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/LogicalExpr.scala index 4b16219e9..b4c35f53b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/LogicalExpr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/LogicalExpr.scala @@ -33,6 +33,10 @@ case class InExpr(head: Expr, is: Boolean, range: Seq[Expr]) extends LogicalExpr val notStr = if (is) "" else " NOT" s"${head.coalesceDesc}${notStr} IN (${range.map(_.coalesceDesc).mkString(", ")})" } + + override def map(func: (Expr) => Expr): InExpr = { + InExpr(func(head), is, range.map(func(_))) + } } case class BetweenExpr(head: Expr, is: Boolean, range: Seq[Expr]) extends LogicalExpr { @@ -58,6 +62,10 @@ case class BetweenExpr(head: Expr, is: Boolean, range: Seq[Expr]) extends Logica } s"${head.coalesceDesc}${notStr} BETWEEN ${rangeStr}" } + + override def map(func: (Expr) => Expr): BetweenExpr = { + BetweenExpr(func(head), is, range.map(func(_))) + } } case class LikeExpr(head: Expr, is: Boolean, value: Expr) extends LogicalExpr { @@ -72,6 +80,10 @@ case class LikeExpr(head: Expr, is: Boolean, value: Expr) extends LogicalExpr { val notStr = if (is) "" else " NOT" s"${head.coalesceDesc}${notStr} LIKE ${value.coalesceDesc}" } + + override def map(func: (Expr) => Expr): LikeExpr = { + LikeExpr(func(head), is, func(value)) + } } case class IsNullExpr(head: Expr, is: Boolean) extends LogicalExpr { @@ -83,6 +95,10 @@ case class IsNullExpr(head: Expr, is: Boolean) extends LogicalExpr { s"${head.desc} IS${notStr} NULL" } def coalesceDesc: String = desc + + override def map(func: (Expr) => Expr): IsNullExpr = { + IsNullExpr(func(head), is) + } } case class IsNanExpr(head: Expr, is: Boolean) extends LogicalExpr { @@ -94,6 +110,10 @@ case class IsNanExpr(head: Expr, is: Boolean) extends LogicalExpr { s"${notStr}isnan(${head.desc})" } def coalesceDesc: String = desc + + override def map(func: (Expr) => Expr): IsNanExpr = { + IsNanExpr(func(head), is) + } } // ----------- @@ -110,6 +130,10 @@ case class LogicalFactorExpr(factor: Expr, withBracket: Boolean, aliasOpt: Optio if (aliasOpt.nonEmpty) this else factor.extractSelf } + + override def map(func: (Expr) => Expr): LogicalFactorExpr = { + LogicalFactorExpr(func(factor), withBracket, aliasOpt) + } } case class UnaryLogicalExpr(oprs: Seq[String], factor: LogicalExpr) extends LogicalExpr { @@ -136,6 +160,10 @@ case class UnaryLogicalExpr(oprs: Seq[String], factor: LogicalExpr) extends Logi if (oprs.nonEmpty) this else factor.extractSelf } + + override def map(func: (Expr) => Expr): UnaryLogicalExpr = { + UnaryLogicalExpr(oprs, func(factor).asInstanceOf[LogicalExpr]) + } } case class BinaryLogicalExpr(factor: LogicalExpr, tails: Seq[(String, LogicalExpr)]) extends LogicalExpr { @@ -167,4 +195,10 @@ case class BinaryLogicalExpr(factor: LogicalExpr, tails: Seq[(String, LogicalExp if (tails.nonEmpty) this else factor.extractSelf } + + override def map(func: (Expr) => Expr): BinaryLogicalExpr = { + BinaryLogicalExpr(func(factor).asInstanceOf[LogicalExpr], tails.map{ pair => + (pair._1, func(pair._2).asInstanceOf[LogicalExpr]) + }) + } } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/MathExpr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/MathExpr.scala index b3d3db430..4217e446a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/MathExpr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/MathExpr.scala @@ -33,6 +33,10 @@ case class MathFactorExpr(factor: Expr, withBracket: Boolean, aliasOpt: Option[S if (aliasOpt.nonEmpty) this else factor.extractSelf } + + override def map(func: (Expr) => Expr): MathFactorExpr = { + MathFactorExpr(func(factor), withBracket, aliasOpt) + } } case class UnaryMathExpr(oprs: Seq[String], factor: MathExpr) extends MathExpr { @@ -53,6 +57,10 @@ case class UnaryMathExpr(oprs: Seq[String], factor: MathExpr) extends MathExpr { if (oprs.nonEmpty) this else factor.extractSelf } + + override def map(func: (Expr) => Expr): UnaryMathExpr = { + UnaryMathExpr(oprs, func(factor).asInstanceOf[MathExpr]) + } } case class BinaryMathExpr(factor: MathExpr, tails: Seq[(String, MathExpr)]) extends MathExpr { @@ -77,4 +85,10 @@ case class BinaryMathExpr(factor: MathExpr, tails: Seq[(String, MathExpr)]) exte if (tails.nonEmpty) this else factor.extractSelf } + + override def map(func: (Expr) => Expr): BinaryMathExpr = { + BinaryMathExpr(func(factor).asInstanceOf[MathExpr], tails.map{ pair => + (pair._1, func(pair._2).asInstanceOf[MathExpr]) + }) + } } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala index 0c7dbef99..d6e350b89 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/SelectExpr.scala @@ -22,20 +22,15 @@ trait HeadExpr extends Expr with AliasableExpr { def alias: Option[String] = None } -case class DataSourceHeadExpr(var name: String) extends HeadExpr { - def desc: String = name +case class DataSourceHeadExpr(name: String) extends HeadExpr { + def desc: String = s"`${name}`" def coalesceDesc: String = desc } case class FieldNameHeadExpr(field: String) extends HeadExpr { - def desc: String = field + def desc: String = s"`${field}`" def coalesceDesc: String = desc - override def alias: Option[String] = { - val innerField = if (field.startsWith("`") && field.endsWith("`")) { - field.substring(1, field.length - 1) - } else field - Some(innerField) - } + override def alias: Option[String] = Some(field) } case class AllSelectHeadExpr() extends HeadExpr { @@ -50,6 +45,10 @@ case class OtherHeadExpr(expr: Expr) extends HeadExpr { def desc: String = expr.desc def coalesceDesc: String = expr.coalesceDesc override def alias: Option[String] = Some(expr.desc) + + override def map(func: (Expr) => Expr): OtherHeadExpr = { + OtherHeadExpr(func(expr)) + } } // ------------- @@ -64,14 +63,9 @@ case class AllFieldsSelectExpr() extends SelectExpr { } case class FieldSelectExpr(field: String) extends SelectExpr { - def desc: String = s".${field}" + def desc: String = s".`${field}`" def coalesceDesc: String = desc - override def alias: Option[String] = { - val innerField = if (field.startsWith("`") && field.endsWith("`")) { - field.substring(1, field.length - 1) - } else field - Some(innerField) - } + override def alias: Option[String] = Some(field) } case class IndexSelectExpr(index: Expr) extends SelectExpr { @@ -81,6 +75,10 @@ case class IndexSelectExpr(index: Expr) extends SelectExpr { def desc: String = s"[${index.desc}]" def coalesceDesc: String = desc def alias: Option[String] = Some(index.desc) + + override def map(func: (Expr) => Expr): IndexSelectExpr = { + IndexSelectExpr(func(index)) + } } case class FunctionSelectExpr(functionName: String, args: Seq[Expr]) extends SelectExpr { @@ -90,6 +88,10 @@ case class FunctionSelectExpr(functionName: String, args: Seq[Expr]) extends Sel def desc: String = "" def coalesceDesc: String = desc def alias: Option[String] = Some(functionName) + + override def map(func: (Expr) => Expr): FunctionSelectExpr = { + FunctionSelectExpr(functionName, args.map(func(_))) + } } // ------------- @@ -122,4 +124,9 @@ case class SelectionExpr(head: HeadExpr, selectors: Seq[SelectExpr], aliasOpt: O if (aliasSeq.size > 0) Some(aliasSeq.mkString("_")) else None } else aliasOpt } + + override def map(func: (Expr) => Expr): SelectionExpr = { + SelectionExpr(func(head).asInstanceOf[HeadExpr], + selectors.map(func(_).asInstanceOf[SelectExpr]), aliasOpt) + } } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala index f02b8b02f..abcf1203a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala @@ -159,8 +159,6 @@ trait BasicParser extends JavaTokenParsers with Serializable { import Operator._ object Strings { - def innerString(s: String): String = s.substring(1, s.size - 1) - def AnyString: Parser[String] = """"(?:\"|[^\"])*"""".r | """'(?:\'|[^'])*'""".r def SimpleTableFieldName: Parser[String] = """[a-zA-Z_]\w*""".r def UnQuoteTableFieldName: Parser[String] = """`(?:[\\][`]|[^`])*`""".r @@ -209,13 +207,13 @@ trait BasicParser extends JavaTokenParsers with Serializable { case head ~ sels ~ aliasOpt => SelectionExpr(head, sels, aliasOpt) } def selectionHead: Parser[HeadExpr] = DataSourceName ^^ { - DataSourceHeadExpr(_) + ds => DataSourceHeadExpr(trim(ds)) } | function ^^ { OtherHeadExpr(_) } | SimpleTableFieldName ^^ { FieldNameHeadExpr(_) } | UnQuoteTableFieldName ^^ { s => - FieldNameHeadExpr(innerString(s)) + FieldNameHeadExpr(trim(s)) } | ALLSL ^^ { _ => AllSelectHeadExpr() } @@ -224,8 +222,8 @@ trait BasicParser extends JavaTokenParsers with Serializable { def fieldSelect: Parser[FieldSelectExpr] = DOT ~> ( SimpleTableFieldName ^^ { FieldSelectExpr(_) - } | UnQuoteTableFieldName ^^ {s => - FieldSelectExpr(innerString(s)) + } | UnQuoteTableFieldName ^^ { s => + FieldSelectExpr(trim(s)) }) def indexSelect: Parser[IndexSelectExpr] = LSQBR ~> argument <~ RSQBR ^^ { IndexSelectExpr(_) } def functionSelect: Parser[FunctionSelectExpr] = DOT ~ FunctionName ~ LBR ~ repsep(argument, COMMA) ~ RBR ^^ { @@ -236,7 +234,7 @@ trait BasicParser extends JavaTokenParsers with Serializable { * -- as alias -- * ::= */ - def asAlias: Parser[String] = AS ~> (SimpleTableFieldName | UnQuoteTableFieldName ^^ { innerString(_) }) + def asAlias: Parser[String] = AS ~> (SimpleTableFieldName | UnQuoteTableFieldName ^^ { trim(_) }) /** * -- math expr -- diff --git a/measure/src/test/resources/config-test-profiling-streaming.json b/measure/src/test/resources/config-test-profiling-streaming.json index e219ce760..9f5435ecb 100644 --- a/measure/src/test/resources/config-test-profiling-streaming.json +++ b/measure/src/test/resources/config-test-profiling-streaming.json @@ -54,7 +54,7 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "name, *.count() group by name", + "rule": "source.name, source.*.count() from source group by source.name", "details": { "source": "source", "profiling": { @@ -66,13 +66,25 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "name.count(), age.min(), age.avg(), age.max()", + "rule": "name.count(), source.age.min(), age.avg(), source.age.max()", "details": { "source": "source", "profiling": { "persist.type": "metric" } } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "rule": "name.count() as `name-null-count` where source.name IS NULL", + "details": { + "source": "source", + "profiling": { + "name": "null-count", + "persist.type": "metric" + } + } } ] } diff --git a/measure/src/test/resources/config-test-profiling1.json b/measure/src/test/resources/config-test-profiling1.json index f6c251a88..363662adc 100644 --- a/measure/src/test/resources/config-test-profiling1.json +++ b/measure/src/test/resources/config-test-profiling1.json @@ -25,7 +25,7 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "select source.user_id.max() as max, user_id.min() as min, user_id.count() as cnt from source", + "rule": "select source.user_id.max(), user_id.min(), user_id.count() from `source`", "details": { "profiling": { "persist.type": "metric" From f267c4fe7264d083141cbd2915051f6fd8b8cadc Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 27 Nov 2017 14:34:02 +0800 Subject: [PATCH 039/177] save metric name in details --- .../griffin/measure/process/engine/SparkDqEngine.scala | 5 +++-- .../griffin/measure/rule/adaptor/GriffinDslAdaptor.scala | 6 +++++- .../org/apache/griffin/measure/rule/step/RuleStep.scala | 8 ++++++++ measure/src/test/resources/config-test-profiling1.json | 2 +- 4 files changed, 17 insertions(+), 4 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 612b3d853..1ec6a6c56 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -41,12 +41,13 @@ trait SparkDqEngine extends DqEngine { val pdf = sqlContext.table(s"`${name}`") val records: Array[String] = pdf.toJSON.collect() - val (metricName, tmstOpt) = TempName.extractTmstName(name) + val metricName = step.ruleInfo.originName + val tmst = step.timeInfo.tmst val pairs = records.flatMap { rec => try { val value = JsonUtil.toAnyMap(rec) - tmstOpt.map((_, value)) + Some((tmst, value)) } catch { case e: Throwable => None } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 6ddb633e2..dfd03f35a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -195,6 +195,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val missRecordsStep = SparkSqlStep( ruleStep.timeInfo, RuleInfo(missRecordsName, missRecordsSql, Map[String, Any]()) + .withName(missRecordsName) .withPersistType(resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType)) .withUpdateDataSourceOpt(resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords)) ) @@ -266,6 +267,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuracyMetricStep = SparkSqlStep( ruleStep.timeInfo, RuleInfo(accuracyMetricName, accuracyMetricSql, details) + .withName(accuracyMetricName) ) // val accuracyMetricStep = SparkSqlStep( // accuracyMetricName, @@ -284,6 +286,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], ("total" -> totalColName), ("matched" -> matchedColName) )).withPersistType(resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType)) + .withName(accuracyMetricName) ) // val accuracyStep = DfOprStep( // accuracyMetricName, @@ -361,7 +364,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val profilingStep = SparkSqlStep( timeInfo, RuleInfo(tmstMetricName, profilingSql, details) - .withPersistType(resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType)) + .withName(metricName) + .withPersistType(resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType)) ) filterStep :: profilingStep :: Nil diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala index a55fa8b9c..134a47334 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala @@ -39,12 +39,16 @@ trait RuleStep extends Serializable { case class TimeInfo(calcTime: Long, tmst: Long) {} case class RuleInfo(name: String, rule: String, details: Map[String, Any]) { + private val _name = "name" private val _persistType = "persist.type" private val _updateDataSource = "update.data.source" def persistType = PersistType(details.getOrElse(_persistType, "").toString) def updateDataSourceOpt = details.get(_updateDataSource).map(_.toString) + def withName(n: String): RuleInfo = { + RuleInfo(name, rule, details + (_name -> n)) + } def withPersistType(pt: PersistType): RuleInfo = { RuleInfo(name, rule, details + (_persistType -> pt.desc)) } @@ -54,4 +58,8 @@ case class RuleInfo(name: String, rule: String, details: Map[String, Any]) { case _ => this } } + + def originName: String = { + details.getOrElse(_name, name).toString + } } \ No newline at end of file diff --git a/measure/src/test/resources/config-test-profiling1.json b/measure/src/test/resources/config-test-profiling1.json index 363662adc..712af3cc5 100644 --- a/measure/src/test/resources/config-test-profiling1.json +++ b/measure/src/test/resources/config-test-profiling1.json @@ -3,7 +3,7 @@ "process.type": "batch", - "timestamp": 1234, + "timestamp": 123456, "data.sources": [ { From 64badb5039f4e8a98fed3d61b575008519f13a0e Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 27 Nov 2017 16:12:45 +0800 Subject: [PATCH 040/177] accu not doen --- .../rule/adaptor/GriffinDslAdaptor.scala | 179 ++++++++---------- .../rule/dsl/analyzer/AccuracyAnalyzer.scala | 4 +- 2 files changed, 81 insertions(+), 102 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index dfd03f35a..13b6ca174 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -172,6 +172,12 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val sourceName = getNameOpt(details, AccuracyInfo._Source).getOrElse(dataSourceNames.head) val targetName = getNameOpt(details, AccuracyInfo._Target).getOrElse(dataSourceNames.tail.head) val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) + + println(expr) + + val tmsts = dsTmsts.getOrElse(sourceName, Set.empty[Long]) +// val targetTmsts = dsTmsts.getOrElse(targetName, Set.empty[Long]) + if (!checkDataSourceExists(sourceName)) { Nil } else { @@ -199,109 +205,80 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], .withPersistType(resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType)) .withUpdateDataSourceOpt(resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords)) ) -// val missRecordsStep = SparkSqlStep( -// missRecordsName, -// missRecordsSql, -// Map[String, Any](), -// resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType), -// resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords) -// ) - - // 2. miss count - val missTableName = "_miss_" - val missColName = getNameOpt(details, AccuracyInfo._Miss).getOrElse(AccuracyInfo._Miss) - val missSql = procType match { - case BatchProcessType => s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" - case StreamingProcessType => s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${GroupByColumn.tmst}`" - } - val missStep = SparkSqlStep( - ruleStep.timeInfo, - RuleInfo(missTableName, missSql, Map[String, Any]()) - ) -// val missStep = SparkSqlStep( -// missTableName, -// missSql, -// Map[String, Any](), -// NonePersistType, -// None -// ) - - // 3. total count - val totalTableName = "_total_" - val totalColName = getNameOpt(details, AccuracyInfo._Total).getOrElse(AccuracyInfo._Total) - val totalSql = procType match { - case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" - case StreamingProcessType => s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${GroupByColumn.tmst}`" - } - val totalStep = SparkSqlStep( - ruleStep.timeInfo, - RuleInfo(totalTableName, totalSql, Map[String, Any]()) - ) -// val totalStep = SparkSqlStep( -// totalTableName, -// totalSql, -// Map[String, Any](), -// NonePersistType, -// None -// ) - - // 4. accuracy metric - val matchedColName = getNameOpt(details, AccuracyInfo._Matched).getOrElse(AccuracyInfo._Matched) - val accuracyMetricSql = procType match { - case BatchProcessType => - s""" - |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, - |`${totalTableName}`.`${totalColName}` AS `${totalColName}` - |FROM `${totalTableName}` FULL JOIN `${missTableName}` + + val tmstStepsPair = tmsts.map { tmst => + val timeInfo = TimeInfo(ruleStep.timeInfo.calcTime, tmst) + + // 2. miss count + val missTableName = "_miss_" + val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) + val missColName = getNameOpt(details, AccuracyInfo._Miss).getOrElse(AccuracyInfo._Miss) + val missSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" + case StreamingProcessType => s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${GroupByColumn.tmst}`" + } + val missStep = SparkSqlStep( + timeInfo, + RuleInfo(tmstMissTableName, missSql, Map[String, Any]()) + ) + + // 3. total count + val totalTableName = "_total_" + val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) + val totalColName = getNameOpt(details, AccuracyInfo._Total).getOrElse(AccuracyInfo._Total) + val totalSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + case StreamingProcessType => s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${GroupByColumn.tmst}`" + } + val totalStep = SparkSqlStep( + timeInfo, + RuleInfo(tmstTotalTableName, totalSql, Map[String, Any]()) + ) + + // 4. accuracy metric + val accuracyMetricName = resultName(details, AccuracyInfo._Accuracy) + val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) + val matchedColName = getNameOpt(details, AccuracyInfo._Matched).getOrElse(AccuracyInfo._Matched) + val accuracyMetricSql = procType match { + case BatchProcessType => + s""" + |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, + |`${totalTableName}`.`${totalColName}` AS `${totalColName}` + |FROM `${totalTableName}` FULL JOIN `${missTableName}` """.stripMargin - case StreamingProcessType => - s""" - |SELECT `${totalTableName}`.`${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, - |`${missTableName}`.`${missColName}` AS `${missColName}`, - |`${totalTableName}`.`${totalColName}` AS `${totalColName}` - |FROM `${totalTableName}` FULL JOIN `${missTableName}` - |ON `${totalTableName}`.`${GroupByColumn.tmst}` = `${missTableName}`.`${GroupByColumn.tmst}` + case StreamingProcessType => + s""" + |SELECT `${totalTableName}`.`${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, + |`${missTableName}`.`${missColName}` AS `${missColName}`, + |`${totalTableName}`.`${totalColName}` AS `${totalColName}` + |FROM `${totalTableName}` FULL JOIN `${missTableName}` + |ON `${totalTableName}`.`${GroupByColumn.tmst}` = `${missTableName}`.`${GroupByColumn.tmst}` """.stripMargin + } + val accuracyMetricStep = SparkSqlStep( + timeInfo, + RuleInfo(tmstAccuracyMetricName, accuracyMetricSql, details) + .withName(accuracyMetricName) + ) + + // 5. accuracy metric filter + val accuracyStep = DfOprStep( + ruleStep.timeInfo, + RuleInfo(tmstAccuracyMetricName, "accuracy", Map[String, Any]( + ("df.name" -> tmstAccuracyMetricName), + ("miss" -> missColName), + ("total" -> totalColName), + ("matched" -> matchedColName) + )).withPersistType(resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType)) + .withName(accuracyMetricName) + ) + + (missStep :: totalStep :: accuracyMetricStep :: Nil, accuracyStep :: Nil) + }.foldLeft((Nil: Seq[ConcreteRuleStep], Nil: Seq[ConcreteRuleStep])) { (ret, next) => + (ret._1 ++ next._1, ret._2 ++ next._2) } - val accuracyMetricName = resultName(details, AccuracyInfo._Accuracy) - val accuracyMetricStep = SparkSqlStep( - ruleStep.timeInfo, - RuleInfo(accuracyMetricName, accuracyMetricSql, details) - .withName(accuracyMetricName) - ) -// val accuracyMetricStep = SparkSqlStep( -// accuracyMetricName, -// accuracyMetricSql, -// details, -// NonePersistType, -// None -// ) - - // 5. accuracy metric filter - val accuracyStep = DfOprStep( - ruleStep.timeInfo, - RuleInfo(accuracyMetricName, "accuracy", Map[String, Any]( - ("df.name" -> accuracyMetricName), - ("miss" -> missColName), - ("total" -> totalColName), - ("matched" -> matchedColName) - )).withPersistType(resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType)) - .withName(accuracyMetricName) - ) -// val accuracyStep = DfOprStep( -// accuracyMetricName, -// "accuracy", -// Map[String, Any]( -// ("df.name" -> accuracyMetricName), -// ("miss" -> missColName), -// ("total" -> totalColName), -// ("matched" -> matchedColName) -// ), -// resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType), -// None -// ) - - missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil + + missRecordsStep +: (tmstStepsPair._1 ++ tmstStepsPair._2) } } @@ -369,7 +346,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], ) filterStep :: profilingStep :: Nil - }.foldLeft(Nil: List[ConcreteRuleStep])(_ ::: _) + }.foldLeft(Nil: Seq[ConcreteRuleStep])(_ ++ _) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/AccuracyAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/AccuracyAnalyzer.scala index 7efb32ee0..ff21d6b73 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/AccuracyAnalyzer.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/AccuracyAnalyzer.scala @@ -27,7 +27,9 @@ case class AccuracyAnalyzer(expr: LogicalExpr, sourceName: String, targetName: S val sourceSelectionExprs = { val seq = seqSelectionExprs(sourceName) - expr.preOrderTraverseDepthFirst(Seq[SelectionExpr]())(seq, combSelectionExprs) + val a = expr.preOrderTraverseDepthFirst(Seq[SelectionExpr]())(seq, combSelectionExprs) + println(a) + a } val targetSelectionExprs = { val seq = seqSelectionExprs(targetName) From 52b0b29f97587719551e8f87ba4f9c904679111b Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 27 Nov 2017 18:04:54 +0800 Subject: [PATCH 041/177] fix count(*) bug --- .../rule/dsl/analyzer/ProfilingAnalyzer.scala | 22 ++----------------- .../resources/config-test-profiling1.json | 13 ++++++++++- .../rule/adaptor/GriffinDslAdaptorTest.scala | 2 +- 3 files changed, 15 insertions(+), 22 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/ProfilingAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/ProfilingAnalyzer.scala index cbaf508f5..68729771f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/ProfilingAnalyzer.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/ProfilingAnalyzer.scala @@ -25,34 +25,16 @@ case class ProfilingAnalyzer(expr: ProfilingClause, sourceName: String) extends val dataSourceNames = expr.preOrderTraverseDepthFirst(Set[String]())(seqDataSourceNames, combDataSourceNames) - val sourceSelectionExprs = { - val seq = seqSelectionExprs(sourceName) - expr.selectClause.preOrderTraverseDepthFirst(Seq[SelectionExpr]())(seq, combSelectionExprs) - } - - val selectionExprs: Seq[SelectionExpr] = { + val selectionExprs: Seq[Expr] = { expr.selectClause.exprs.map(_.extractSelf).flatMap { expr => expr match { case e: SelectionExpr => Some(e) + case e: FunctionExpr => Some(e) case _ => None } } } - def containsAllSelectionExpr = { - selectionExprs.filter { expr => - expr match { - case SelectionExpr(head: AllSelectHeadExpr, selectors: Seq[SelectExpr], _) => { - selectors.isEmpty - } - case SelectionExpr(head: DataSourceHeadExpr, selectors: Seq[SelectExpr], _) => { - (head == sourceName) && (selectors.size == 1) && (selectors.head.isInstanceOf[AllFieldsSelectExpr]) - } - case _ => false - } - }.size > 0 - } - val groupbyExprOpt = expr.groupbyClauseOpt val preGroupbyExprs = expr.preGroupbyClauses.map(_.extractSelf) val postGroupbyExprs = expr.postGroupbyClauses.map(_.extractSelf) diff --git a/measure/src/test/resources/config-test-profiling1.json b/measure/src/test/resources/config-test-profiling1.json index 712af3cc5..8bbd0b713 100644 --- a/measure/src/test/resources/config-test-profiling1.json +++ b/measure/src/test/resources/config-test-profiling1.json @@ -25,12 +25,23 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "select source.user_id.max(), user_id.min(), user_id.count() from `source`", + "rule": "count(*) from source", "details": { "profiling": { "persist.type": "metric" } } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "rule": "source.user_id, count(*) from source group by source.user_id", + "details": { + "profiling": { + "name": "pri", + "persist.type": "metric" + } + } } ] } diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index a9de27a2d..404a2c571 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -38,7 +38,7 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w |{ | "dsl.type": "griffin-dsl", | "dq.type": "profiling", - | "rule": "source.age, source.`age`.count() from source group by source.age", + | "rule": "count(*)", | "details": { | "source": "source", | "profiling": { From b99ad25f5e64601192482008d63463846d3671e1 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 27 Nov 2017 22:43:11 +0800 Subject: [PATCH 042/177] accu run --- .../measure/process/BatchDqProcess.scala | 2 ++ .../measure/process/StreamingDqThread.scala | 2 +- .../process/engine/DataFrameOprEngine.scala | 34 +++++++++++-------- .../rule/adaptor/GriffinDslAdaptor.scala | 33 ++++++------------ .../rule/dsl/analyzer/AccuracyAnalyzer.scala | 4 +-- .../rule/dsl/analyzer/BasicAnalyzer.scala | 2 +- .../griffin/measure/utils/HdfsUtil.scala | 2 +- 7 files changed, 36 insertions(+), 43 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 341408d32..d52867129 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -88,6 +88,8 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // init data sources val dsTmsts = dqEngines.loadData(dataSources, appTime) + debug(s"data sources timestamps: ${dsTmsts}") + // generate rule steps val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( TimeInfo(appTime, appTime), userParam.evaluateRuleParam, dsTmsts, BatchProcessType, RunPhase) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index fcb69f762..725ffad40 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -56,7 +56,7 @@ case class StreamingDqThread(dqEngines: DqEngines, // init data sources val dsTmsts = dqEngines.loadData(dataSources, st) - println(dsTmsts) + debug(s"data sources timestamps: ${dsTmsts}") // generate rule steps val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index c78f4bb93..a7952cc91 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -38,19 +38,19 @@ case class DataFrameOprEngine(sqlContext: SQLContext) extends SparkDqEngine { def runRuleStep(ruleStep: ConcreteRuleStep): Boolean = { ruleStep match { - case DfOprStep(_, ri) => { + case DfOprStep(ti, ri) => { try { ri.rule match { case DataFrameOprs._fromJson => { - val df = DataFrameOprs.fromJson(sqlContext, ri.details) + val df = DataFrameOprs.fromJson(sqlContext, ri) df.registerTempTable(ri.name) } case DataFrameOprs._accuracy => { - val df = DataFrameOprs.accuracy(sqlContext, ri.details) + val df = DataFrameOprs.accuracy(sqlContext, ti, ri) df.registerTempTable(ri.name) } case DataFrameOprs._clear => { - val df = DataFrameOprs.clear(sqlContext, ri.details) + val df = DataFrameOprs.clear(sqlContext, ri) df.registerTempTable(ri.name) } case _ => { @@ -77,7 +77,9 @@ object DataFrameOprs { final val _accuracy = "accuracy" final val _clear = "clear" - def fromJson(sqlContext: SQLContext, details: Map[String, Any]): DataFrame = { + def fromJson(sqlContext: SQLContext, ruleInfo: RuleInfo): DataFrame = { + val details = ruleInfo.details + val _dfName = "df.name" val _colName = "col.name" val dfName = details.getOrElse(_dfName, "").toString @@ -91,7 +93,9 @@ object DataFrameOprs { sqlContext.read.json(rdd) } - def accuracy(sqlContext: SQLContext, details: Map[String, Any]): DataFrame = { + def accuracy(sqlContext: SQLContext, timeInfo: TimeInfo, ruleInfo: RuleInfo): DataFrame = { + val details = ruleInfo.details + val _dfName = "df.name" val _miss = "miss" val _total = "total" @@ -102,7 +106,7 @@ object DataFrameOprs { val total = details.getOrElse(_total, _total).toString val matched = details.getOrElse(_matched, _matched).toString // val tmst = details.getOrElse(_tmst, _tmst).toString - val tmst = GroupByColumn.tmst +// val tmst = GroupByColumn.tmst val updateTime = new Date().getTime @@ -116,13 +120,14 @@ object DataFrameOprs { val df = sqlContext.table(s"`${dfName}`") val results = df.flatMap { row => - val t = getLong(row, tmst) - if (t > 0) { + try { val missCount = getLong(row, miss) val totalCount = getLong(row, total) val ar = AccuracyResult(missCount, totalCount) - Some((t, ar)) - } else None + Some((timeInfo.tmst, ar)) + } catch { + case e: Throwable => None + } }.collect val updateResults = results.flatMap { pair => @@ -137,21 +142,22 @@ object DataFrameOprs { } val schema = StructType(Array( - StructField(tmst, LongType), StructField(miss, LongType), StructField(total, LongType), StructField(matched, LongType) )) val rows = updateResults.map { r => val ar = r.result.asInstanceOf[AccuracyResult] - Row(r.timeGroup, ar.miss, ar.total, ar.getMatch) + Row(ar.miss, ar.total, ar.getMatch) } val rowRdd = sqlContext.sparkContext.parallelize(rows) sqlContext.createDataFrame(rowRdd, schema) } - def clear(sqlContext: SQLContext, details: Map[String, Any]): DataFrame = { + def clear(sqlContext: SQLContext, ruleInfo: RuleInfo): DataFrame = { + val details = ruleInfo.details + val _dfName = "df.name" val dfName = details.getOrElse(_dfName, "").toString diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 13b6ca174..eabaf02db 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -173,8 +173,6 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val targetName = getNameOpt(details, AccuracyInfo._Target).getOrElse(dataSourceNames.tail.head) val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) - println(expr) - val tmsts = dsTmsts.getOrElse(sourceName, Set.empty[Long]) // val targetTmsts = dsTmsts.getOrElse(targetName, Set.empty[Long]) @@ -213,9 +211,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val missTableName = "_miss_" val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) val missColName = getNameOpt(details, AccuracyInfo._Miss).getOrElse(AccuracyInfo._Miss) - val missSql = procType match { - case BatchProcessType => s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" - case StreamingProcessType => s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${GroupByColumn.tmst}`" + val missSql = { + s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" } val missStep = SparkSqlStep( timeInfo, @@ -226,9 +223,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val totalTableName = "_total_" val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) val totalColName = getNameOpt(details, AccuracyInfo._Total).getOrElse(AccuracyInfo._Total) - val totalSql = procType match { - case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" - case StreamingProcessType => s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${GroupByColumn.tmst}`" + val totalSql = { + s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" } val totalStep = SparkSqlStep( timeInfo, @@ -239,20 +235,11 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuracyMetricName = resultName(details, AccuracyInfo._Accuracy) val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) val matchedColName = getNameOpt(details, AccuracyInfo._Matched).getOrElse(AccuracyInfo._Matched) - val accuracyMetricSql = procType match { - case BatchProcessType => - s""" - |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, - |`${totalTableName}`.`${totalColName}` AS `${totalColName}` - |FROM `${totalTableName}` FULL JOIN `${missTableName}` - """.stripMargin - case StreamingProcessType => - s""" - |SELECT `${totalTableName}`.`${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, - |`${missTableName}`.`${missColName}` AS `${missColName}`, - |`${totalTableName}`.`${totalColName}` AS `${totalColName}` - |FROM `${totalTableName}` FULL JOIN `${missTableName}` - |ON `${totalTableName}`.`${GroupByColumn.tmst}` = `${missTableName}`.`${GroupByColumn.tmst}` + val accuracyMetricSql = { + s""" + |SELECT `${tmstMissTableName}`.`${missColName}` AS `${missColName}`, + |`${tmstTotalTableName}`.`${totalColName}` AS `${totalColName}` + |FROM `${tmstTotalTableName}` FULL JOIN `${tmstMissTableName}` """.stripMargin } val accuracyMetricStep = SparkSqlStep( @@ -263,7 +250,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 5. accuracy metric filter val accuracyStep = DfOprStep( - ruleStep.timeInfo, + timeInfo, RuleInfo(tmstAccuracyMetricName, "accuracy", Map[String, Any]( ("df.name" -> tmstAccuracyMetricName), ("miss" -> missColName), diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/AccuracyAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/AccuracyAnalyzer.scala index ff21d6b73..7efb32ee0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/AccuracyAnalyzer.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/AccuracyAnalyzer.scala @@ -27,9 +27,7 @@ case class AccuracyAnalyzer(expr: LogicalExpr, sourceName: String, targetName: S val sourceSelectionExprs = { val seq = seqSelectionExprs(sourceName) - val a = expr.preOrderTraverseDepthFirst(Seq[SelectionExpr]())(seq, combSelectionExprs) - println(a) - a + expr.preOrderTraverseDepthFirst(Seq[SelectionExpr]())(seq, combSelectionExprs) } val targetSelectionExprs = { val seq = seqSelectionExprs(targetName) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/BasicAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/BasicAnalyzer.scala index 063eb7b45..300f01c31 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/BasicAnalyzer.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/BasicAnalyzer.scala @@ -35,7 +35,7 @@ trait BasicAnalyzer extends Serializable { val seqSelectionExprs = (dsName: String) => (expr: Expr, v: Seq[SelectionExpr]) => { expr match { - case se @ SelectionExpr(head: DataSourceHeadExpr, _, _) if (head.desc == dsName) => v :+ se + case se @ SelectionExpr(head: DataSourceHeadExpr, _, _) if (head.name == dsName) => v :+ se case _ => v } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index 9fa6bcfbe..69f63beed 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.set("dfs.support.append", "true") -// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost + conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) From feca9e3e4be528d217a9a649c297775ca0c9f7e7 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 27 Nov 2017 23:02:37 +0800 Subject: [PATCH 043/177] fix bug of as array --- .../measure/process/engine/SparkDqEngine.scala | 15 ++++++++------- .../griffin/measure/rule/step/RuleStep.scala | 11 +++++++++++ .../apache/griffin/measure/utils/HdfsUtil.scala | 2 +- .../test/resources/config-test-profiling1.json | 5 +++-- 4 files changed, 23 insertions(+), 10 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 1ec6a6c56..40d5bfaa1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -52,15 +52,16 @@ trait SparkDqEngine extends DqEngine { case e: Throwable => None } } - val groupedPairs: Map[Long, Seq[Map[String, Any]]] = pairs.foldLeft(Map[Long, Seq[Map[String, Any]]]()) { (ret, pair) => - val (k, v) = pair - ret.get(k) match { - case Some(seq) => ret + (k -> (seq :+ v)) - case _ => ret + (k -> (v :: Nil)) + val groupedPairs: Map[Long, Seq[Map[String, Any]]] = + pairs.foldLeft(Map[Long, Seq[Map[String, Any]]]()) { (ret, pair) => + val (k, v) = pair + ret.get(k) match { + case Some(seq) => ret + (k -> (seq :+ v)) + case _ => ret + (k -> (v :: Nil)) + } } - } groupedPairs.mapValues { vs => - if (vs.size > 1) { + if (step.ruleInfo.asArray || vs.size > 1) { Map[String, Any]((metricName -> vs)) } else { vs.headOption.getOrElse(emptyMap) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala index 134a47334..6acfd70a3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala @@ -41,6 +41,7 @@ case class TimeInfo(calcTime: Long, tmst: Long) {} case class RuleInfo(name: String, rule: String, details: Map[String, Any]) { private val _name = "name" private val _persistType = "persist.type" + private val _asArray = "as.array" private val _updateDataSource = "update.data.source" def persistType = PersistType(details.getOrElse(_persistType, "").toString) @@ -62,4 +63,14 @@ case class RuleInfo(name: String, rule: String, details: Map[String, Any]) { def originName: String = { details.getOrElse(_name, name).toString } + def asArray: Boolean = { + try { + details.get(_asArray) match { + case Some(v) => v.toString.toBoolean + case _ => false + } + } catch { + case e: Throwable => false + } + } } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index 69f63beed..9fa6bcfbe 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.set("dfs.support.append", "true") - conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost +// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) diff --git a/measure/src/test/resources/config-test-profiling1.json b/measure/src/test/resources/config-test-profiling1.json index 8bbd0b713..fcd7317f6 100644 --- a/measure/src/test/resources/config-test-profiling1.json +++ b/measure/src/test/resources/config-test-profiling1.json @@ -35,12 +35,13 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "source.user_id, count(*) from source group by source.user_id", + "rule": "source.last_name, count(*) as `cnt` from source group by source.last_name", "details": { "profiling": { "name": "pri", "persist.type": "metric" - } + }, + "as.array": true } } ] From 08b47429cf32890e3de21d8ed0f73284c97b8c46 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 28 Nov 2017 10:06:29 +0800 Subject: [PATCH 044/177] fix bug of accuracy all matched update data ignore --- .../measure/cache/tmst/TmstCache.scala | 2 +- .../data/connector/DataConnector.scala | 7 +- .../measure/data/source/DataSource.scala | 6 + .../measure/data/source/DataSourceCache.scala | 12 +- .../measure/process/StreamingDqThread.scala | 2 +- .../process/engine/DataFrameOprEngine.scala | 2 +- .../process/engine/SparkDqEngine.scala | 9 +- .../measure/result/AccuracyResult.scala | 2 + .../griffin/measure/result/Result.scala | 2 + .../rule/adaptor/GriffinDslAdaptor.scala | 213 ++---------------- 10 files changed, 52 insertions(+), 205 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala index 3f2e33e3e..f0314498d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TmstCache.scala @@ -25,7 +25,7 @@ import org.apache.griffin.measure.log.Loggable import scala.collection.mutable.{SortedSet => MutableSortedSet} -object TmstCache extends Loggable { +case class TmstCache() extends Loggable { private val tmstGroup: MutableSortedSet[Long] = MutableSortedSet.empty[Long] diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index efa55ae85..80a022bcd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -38,6 +38,10 @@ trait DataConnector extends Loggable with Serializable { // def available(): Boolean + var tmstCache: TmstCache = _ + protected def saveTmst(t: Long) = tmstCache.insert(t) + protected def readTmst(t: Long) = tmstCache.range(t, t + 1) + def init(): Unit def data(ms: Long): (Option[DataFrame], Set[Long]) @@ -55,9 +59,6 @@ trait DataConnector extends Loggable with Serializable { final val tmstColName = GroupByColumn.tmst - protected def saveTmst(t: Long) = TmstCache.insert(t) - protected def readTmst(t: Long) = TmstCache.range(t, t + 1) - def preProcess(dfOpt: Option[DataFrame], ms: Long): Option[DataFrame] = { val thisTable = thisName(ms) val preProcRules = PreProcRuleGenerator.genPreProcRules(dcParam.preProc, suffix(ms)) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 9f96bd046..4d33bca27 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -18,6 +18,7 @@ under the License. */ package org.apache.griffin.measure.data.source +import org.apache.griffin.measure.cache.tmst.TmstCache import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.data.connector.batch._ import org.apache.griffin.measure.data.connector.streaming._ @@ -35,9 +36,14 @@ case class DataSource(sqlContext: SQLContext, val streamingDataConnectors = DataConnectorFactory.filterStreamingDataConnectors(dataConnectors) streamingDataConnectors.foreach(_.dataSourceCacheOpt = dataSourceCacheOpt) + val tmstCache: TmstCache = TmstCache() + def init(): Unit = { dataSourceCacheOpt.foreach(_.init) dataConnectors.foreach(_.init) + + dataSourceCacheOpt.map(_.tmstCache = tmstCache) + dataConnectors.map(_.tmstCache = tmstCache) } def loadData(ms: Long): Set[Long] = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala index 316b5749c..a443ce134 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala @@ -36,6 +36,13 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], metricName: String, index: Int ) extends DataCacheable with Loggable with Serializable { + var tmstCache: TmstCache = _ + protected def rangeTmsts(from: Long, until: Long) = tmstCache.range(from, until) + protected def clearTmstsUntil(until: Long) = { + val outDateTmsts = tmstCache.until(until) + tmstCache.remove(outDateTmsts) + } + val name = "" val _FilePath = "file.path" @@ -141,7 +148,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], // from until tmst range val (from, until) = (reviseTimeRange._1, reviseTimeRange._2 + 1) - val tmstSet = TmstCache.range(from, until) + val tmstSet = rangeTmsts(from, until) (dfOpt, tmstSet) } @@ -243,6 +250,9 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], val cleanTime = readCleanTime() cleanTime match { case Some(ct) => { + // clear out date tmsts + clearTmstsUntil(ct) + // drop partitions val bounds = getPartition(ct) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 725ffad40..78f87081d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -56,7 +56,7 @@ case class StreamingDqThread(dqEngines: DqEngines, // init data sources val dsTmsts = dqEngines.loadData(dataSources, st) - debug(s"data sources timestamps: ${dsTmsts}") + warn(s"data sources timestamps: ${dsTmsts}") // generate rule steps val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index a7952cc91..d5905fca5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -124,7 +124,7 @@ object DataFrameOprs { val missCount = getLong(row, miss) val totalCount = getLong(row, total) val ar = AccuracyResult(missCount, totalCount) - Some((timeInfo.tmst, ar)) + if (ar.isLegal) Some((timeInfo.tmst, ar)) else None } catch { case e: Throwable => None } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 40d5bfaa1..47080423d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -98,7 +98,14 @@ trait SparkDqEngine extends DqEngine { case _ => None } }.groupByKey() - Some(rdd) + + // find other keys in time groups, create empty records for those timestamps + val existKeys = rdd.keys.collect + val otherKeys = timeGroups.filter(t => !existKeys.exists(_ == t)) + val otherPairs = otherKeys.map((_, Iterable[String]())).toSeq + val otherPairRdd = sqlContext.sparkContext.parallelize(otherPairs) + + Some(rdd union otherPairRdd) } catch { case e: Throwable => { error(s"collect records ${name} error: ${e.getMessage}") diff --git a/measure/src/main/scala/org/apache/griffin/measure/result/AccuracyResult.scala b/measure/src/main/scala/org/apache/griffin/measure/result/AccuracyResult.scala index 16bb772c9..af079b038 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/result/AccuracyResult.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/result/AccuracyResult.scala @@ -23,6 +23,8 @@ case class AccuracyResult(miss: Long, total: Long) extends Result { type T = AccuracyResult + override def isLegal(): Boolean = getTotal > 0 + def update(delta: T): T = { AccuracyResult(delta.miss, total) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/result/Result.scala b/measure/src/main/scala/org/apache/griffin/measure/result/Result.scala index 6dcd9a1ff..6c7ac4ce9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/result/Result.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/result/Result.scala @@ -23,6 +23,8 @@ trait Result extends Serializable { type T <: Result + def isLegal(): Boolean = true + def update(delta: T): T def eventual(): Boolean diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index eabaf02db..47c35d6f7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -89,7 +89,6 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { val ruleInfo = RuleInfo(getName(param), getRule(param), getDetails(param)) GriffinDslStep(timeInfo, ruleInfo, getDqType(param)) :: Nil -// GriffinDslStep(getName(param), getRule(param), getDqType(param), getDetails(param)) :: Nil } def getTempSourceNames(param: Map[String, Any]): Seq[String] = { @@ -166,6 +165,22 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } + private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] + ): Seq[ConcreteRuleStep] = { + ruleStep.dqType match { + case AccuracyType => { + transAccuracyRuleStep(ruleStep, expr, dsTmsts) + } + case ProfilingType => { + transProfilingRuleStep(ruleStep, expr, dsTmsts) + } + case TimelinessType => { + Nil + } + case _ => Nil + } + } + private def transAccuracyRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { val details = ruleStep.ruleInfo.details @@ -350,200 +365,4 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] - ): Seq[ConcreteRuleStep] = { - ruleStep.dqType match { - case AccuracyType => { - transAccuracyRuleStep(ruleStep, expr, dsTmsts) - -// val sourceName = getNameOpt(details, AccuracyInfo._Source) match { -// case Some(name) => name -// case _ => dataSourceNames.head -// } -// val targetName = getNameOpt(details, AccuracyInfo._Target) match { -// case Some(name) => name -// case _ => dataSourceNames.tail.head -// } -// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) -// -// -// if (!checkDataSourceExists(sourceName)) { -// Nil -// } else { -// // 1. miss record -// val missRecordsSql = if (!checkDataSourceExists(targetName)) { -// val selClause = s"`${sourceName}`.*" -// s"SELECT ${selClause} FROM `${sourceName}`" -// } else { -// val selClause = s"`${sourceName}`.*" -// val onClause = expr.coalesceDesc -// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val targetIsNull = analyzer.targetSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" -// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" -// } -// val missRecordsName = resultName(details, AccuracyInfo._MissRecords) -// val missRecordsStep = SparkSqlStep( -// missRecordsName, -// missRecordsSql, -// Map[String, Any](), -// resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType), -// resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords) -// ) -// -// // 2. miss count -// val missTableName = "_miss_" -// val missColName = getNameOpt(details, AccuracyInfo._Miss).getOrElse(AccuracyInfo._Miss) -// val missSql = { -// s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${GroupByColumn.tmst}`" -// } -// val missStep = SparkSqlStep( -// missTableName, -// missSql, -// Map[String, Any](), -// NonePersistType, -// None -// ) -// -// // 3. total count -// val totalTableName = "_total_" -// val totalColName = getNameOpt(details, AccuracyInfo._Total).getOrElse(AccuracyInfo._Total) -// val totalSql = { -// s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${GroupByColumn.tmst}`" -// } -// val totalStep = SparkSqlStep( -// totalTableName, -// totalSql, -// Map[String, Any](), -// NonePersistType, -// None -// ) -// -// // 4. accuracy metric -// val matchedColName = getNameOpt(details, AccuracyInfo._Matched).getOrElse(AccuracyInfo._Matched) -// val accuracyMetricSql = { -// s""" -// |SELECT `${totalTableName}`.`${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`, -// |`${missTableName}`.`${missColName}` AS `${missColName}`, -// |`${totalTableName}`.`${totalColName}` AS `${totalColName}` -// |FROM `${totalTableName}` FULL JOIN `${missTableName}` -// |ON `${totalTableName}`.`${GroupByColumn.tmst}` = `${missTableName}`.`${GroupByColumn.tmst}` -// """.stripMargin -// } -// val accuracyMetricName = resultName(details, AccuracyInfo._Accuracy) -// val accuracyMetricStep = SparkSqlStep( -// accuracyMetricName, -// accuracyMetricSql, -// details, -// // resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType) -// NonePersistType, -// None -// ) -// -// // 5. accuracy metric filter -// val accuracyStep = DfOprStep( -// accuracyMetricName, -// "accuracy", -// Map[String, Any]( -// ("df.name" -> accuracyMetricName), -// ("miss" -> missColName), -// ("total" -> totalColName), -// ("matched" -> matchedColName) -// ), -// resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType), -// None -// ) -// -// missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil -// } - } - case ProfilingType => { - transProfilingRuleStep(ruleStep, expr, dsTmsts) - -// val profilingClause = expr.asInstanceOf[ProfilingClause] -// val sourceName = profilingClause.fromClauseOpt match { -// case Some(fc) => fc.dataSource -// case _ => { -// getNameOpt(details, ProfilingInfo._Source) match { -// case Some(name) => name -// case _ => dataSourceNames.head -// } -// } -// } -// val analyzer = ProfilingAnalyzer(profilingClause, sourceName) -// -//// analyzer.selectionExprs.foreach(println) -// -// val selExprDescs = analyzer.selectionExprs.map { sel => -// val alias = sel match { -// case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" -// case _ => "" -// } -// s"${sel.desc}${alias}" -// } -// -//// val selClause = (s"`${GroupByColumn.tmst}`" +: selExprDescs).mkString(", ") -// val selClause = if (analyzer.containsAllSelectionExpr) { -// selExprDescs.mkString(", ") -// } else { -// (s"`${GroupByColumn.tmst}`" +: selExprDescs).mkString(", ") -// } -// -// val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc -// -//// val tailClause = analyzer.tailsExprs.map(_.desc).mkString(" ") -// val tmstGroupbyClause = GroupbyClause(LiteralStringExpr(s"`${GroupByColumn.tmst}`") :: Nil, None) -// val mergedGroubbyClause = tmstGroupbyClause.merge(analyzer.groupbyExprOpt match { -// case Some(gbc) => gbc -// case _ => GroupbyClause(Nil, None) -// }) -// val groupbyClause = mergedGroubbyClause.desc -// val preGroupbyClause = analyzer.preGroupbyExprs.map(_.desc).mkString(" ") -// val postGroupbyClause = analyzer.postGroupbyExprs.map(_.desc).mkString(" ") -// -// if (!checkDataSourceExists(sourceName)) { -// Nil -// } else { -// // 1. select statement -// val profilingSql = { -//// s"SELECT `${GroupByColumn.tmst}`, ${selClause} FROM ${sourceName} ${tailClause} GROUP BY `${GroupByColumn.tmst}`" -// s"SELECT ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" -// } -// val profilingMetricName = resultName(details, ProfilingInfo._Profiling) -// val profilingStep = SparkSqlStep( -// profilingMetricName, -// profilingSql, -// details, -// resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType), -// None -// ) -// -// // 2. clear processed data -//// val clearDataSourceStep = DfOprStep( -//// s"${sourceName}_clear", -//// "clear", -//// Map[String, Any]( -//// ("df.name" -> sourceName) -//// ), -//// NonePersistType, -//// Some(sourceName) -//// ) -//// -//// profilingStep :: clearDataSourceStep :: Nil -// -// profilingStep:: Nil -// } - - } - case TimelinessType => { - Nil - } - case _ => Nil - } - } - } From 58f15669030b92319665836d5e74ece5b5976367 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 28 Nov 2017 15:41:49 +0800 Subject: [PATCH 045/177] add distinct support in griffin --- .../rule/adaptor/GriffinDslAdaptor.scala | 4 ++- .../rule/dsl/expr/ClauseExpression.scala | 12 ++++++--- .../rule/dsl/expr/ExtraConditionExpr.scala | 27 +++++++++++++++++++ .../measure/rule/dsl/expr/FunctionExpr.scala | 14 +++++++--- .../measure/rule/dsl/parser/BasicParser.scala | 11 +++++--- .../resources/config-test-profiling1.json | 13 ++++++++- 6 files changed, 70 insertions(+), 11 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ExtraConditionExpr.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 47c35d6f7..cb7c2b675 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -317,6 +317,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } s"${sel.desc}${alias}" } + val selCondition = tmstProfilingClause.selectClause.extraConditionOpt.map(_.desc).mkString val selClause = selExprDescs.mkString(", ") val tmstFromClause = tmstProfilingClause.fromClauseOpt.getOrElse(FromClause(tmstSourceName)).desc val groupByClauseOpt = tmstAnalyzer.groupbyExprOpt @@ -336,8 +337,9 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 2. select statement // val partFromClause = FromClause(tmstSourceName).desc val profilingSql = { - s"SELECT ${selClause} ${tmstFromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" + s"SELECT ${selCondition} ${selClause} ${tmstFromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" } +// println(profilingSql) val metricName = resultName(details, ProfilingInfo._Profiling) val tmstMetricName = TempName.tmstName(metricName, timeInfo) val profilingStep = SparkSqlStep( diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala index fe5678bdd..62fc77536 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala @@ -21,15 +21,21 @@ package org.apache.griffin.measure.rule.dsl.expr trait ClauseExpression extends Expr { } -case class SelectClause(exprs: Seq[Expr]) extends ClauseExpression { +case class SelectClause(exprs: Seq[Expr], extraConditionOpt: Option[ExtraConditionExpr] + ) extends ClauseExpression { addChildren(exprs) - def desc: String = s"${exprs.map(_.desc).mkString(", ")}" + def desc: String = { + extraConditionOpt match { + case Some(cdtn) => s"${cdtn.desc} ${exprs.map(_.desc).mkString(", ")}" + case _ => s"${exprs.map(_.desc).mkString(", ")}" + } + } def coalesceDesc: String = desc override def map(func: (Expr) => Expr): SelectClause = { - SelectClause(exprs.map(func(_))) + SelectClause(exprs.map(func(_)), extraConditionOpt.map(func(_).asInstanceOf[ExtraConditionExpr])) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ExtraConditionExpr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ExtraConditionExpr.scala new file mode 100644 index 000000000..eb7ba48c1 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ExtraConditionExpr.scala @@ -0,0 +1,27 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.dsl.expr + +case class ExtraConditionExpr(cdtn: String) extends Expr { + + def desc: String = cdtn.toUpperCase + + def coalesceDesc: String = desc + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala index d10684890..1bbed83e8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/FunctionExpr.scala @@ -18,12 +18,19 @@ under the License. */ package org.apache.griffin.measure.rule.dsl.expr -case class FunctionExpr(functionName: String, args: Seq[Expr], aliasOpt: Option[String] +case class FunctionExpr(functionName: String, args: Seq[Expr], + extraConditionOpt: Option[ExtraConditionExpr], + aliasOpt: Option[String] ) extends Expr with AliasableExpr { addChildren(args) - def desc: String = s"${functionName}(${args.map(_.desc).mkString(", ")})" + def desc: String = { + extraConditionOpt match { + case Some(cdtn) => s"${functionName}(${cdtn.desc} ${args.map(_.desc).mkString(", ")})" + case _ => s"${functionName}(${args.map(_.desc).mkString(", ")})" + } + } def coalesceDesc: String = desc def alias: Option[String] = { if (aliasOpt.isEmpty) { @@ -32,6 +39,7 @@ case class FunctionExpr(functionName: String, args: Seq[Expr], aliasOpt: Option[ } override def map(func: (Expr) => Expr): FunctionExpr = { - FunctionExpr(functionName, args.map(func(_)), aliasOpt) + FunctionExpr(functionName, args.map(func(_)), + extraConditionOpt.map(func(_).asInstanceOf[ExtraConditionExpr]), aliasOpt) } } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala index abcf1203a..846770be3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala @@ -145,6 +145,8 @@ trait BasicParser extends JavaTokenParsers with Serializable { val COMMA: Parser[String] = "," val SELECT: Parser[String] = """(?i)select\s""".r + val DISTINCT: Parser[String] = """(?i)distinct""".r +// val ALL: Parser[String] = """(?i)all""".r val FROM: Parser[String] = """(?i)from\s""".r val AS: Parser[String] = """(?i)as\s""".r val WHERE: Parser[String] = """(?i)where\s""".r @@ -331,8 +333,9 @@ trait BasicParser extends JavaTokenParsers with Serializable { * ::= */ - def function: Parser[FunctionExpr] = FunctionName ~ LBR ~ repsep(argument, COMMA) ~ RBR ~ opt(asAlias) ^^ { - case name ~ _ ~ args ~ _ ~ aliasOpt => FunctionExpr(name, args, aliasOpt) + def function: Parser[FunctionExpr] = FunctionName ~ LBR ~ opt(DISTINCT) ~ repsep(argument, COMMA) ~ RBR ~ opt(asAlias) ^^ { + case name ~ _ ~ extraCdtnOpt ~ args ~ _ ~ aliasOpt => + FunctionExpr(name, args, extraCdtnOpt.map(ExtraConditionExpr(_)), aliasOpt) } def argument: Parser[Expr] = expression @@ -348,7 +351,9 @@ trait BasicParser extends JavaTokenParsers with Serializable { * = */ - def selectClause: Parser[SelectClause] = opt(SELECT) ~> rep1sep(expression, COMMA) ^^ { SelectClause(_) } + def selectClause: Parser[SelectClause] = opt(SELECT) ~> opt(DISTINCT) ~ rep1sep(expression, COMMA) ^^ { + case extraCdtnOpt ~ exprs => SelectClause(exprs, extraCdtnOpt.map(ExtraConditionExpr(_))) + } def fromClause: Parser[FromClause] = FROM ~> DataSourceName ^^ { ds => FromClause(trim(ds)) } def whereClause: Parser[WhereClause] = WHERE ~> expression ^^ { WhereClause(_) } def havingClause: Parser[Expr] = HAVING ~> expression diff --git a/measure/src/test/resources/config-test-profiling1.json b/measure/src/test/resources/config-test-profiling1.json index fcd7317f6..f1d878865 100644 --- a/measure/src/test/resources/config-test-profiling1.json +++ b/measure/src/test/resources/config-test-profiling1.json @@ -25,13 +25,24 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "count(*) from source", + "rule": "select count(*) from source", "details": { "profiling": { "persist.type": "metric" } } }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "rule": "select count ( distinct source.post_code ) as `dis-cnt` from source", + "details": { + "profiling": { + "name": "dist-name", + "persist.type": "metric" + } + } + }, { "dsl.type": "griffin-dsl", "dq.type": "profiling", From a5edc86085593b98d579d937bd15181e1a912fce Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 28 Nov 2017 16:20:40 +0800 Subject: [PATCH 046/177] init --- .../rule/adaptor/SparkSqlAdaptorTest.scala | 61 +++++++++++++++++++ 1 file changed, 61 insertions(+) create mode 100644 measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala new file mode 100644 index 000000000..69ba58cb7 --- /dev/null +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala @@ -0,0 +1,61 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.adaptor + +import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.utils.JsonUtil +import org.junit.runner.RunWith +import org.scalatest.junit.JUnitRunner +import org.scalatest.{BeforeAndAfter, FunSuite, Matchers} +import org.scalamock.scalatest.MockFactory + +@RunWith(classOf[JUnitRunner]) +class SparkSqlAdaptorTest extends FunSuite with Matchers with BeforeAndAfter with MockFactory { + + test ("spark sql adaptor test") { + val adaptor = SparkSqlAdaptor(RunPhase) + + val ruleJson = + """ + |{ + | "dsl.type": "spark-sql", + | "rule": "count(*)", + | "details": { + | "source": "source", + | "profiling": { + | "name": "prof", + | "persist.type": "metric" + | } + | } + |} + """.stripMargin + + // rule: Map[String, Any] + val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) + println(rule) + + val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234))) + val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) + + steps.foreach { step => + println(s"${step.name} [${step.dslType}]: ${step.ruleInfo.rule}") + } + } + +} From 0c9397b60e8466337c43cd318ba60dd221488db6 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 28 Nov 2017 18:44:02 +0800 Subject: [PATCH 047/177] spark sql works --- .../rule/adaptor/SparkSqlAdaptor.scala | 14 +----- .../test/resources/config-test-accuracy2.json | 46 +++++++++++++++++++ .../resources/config-test-profiling2.json | 35 ++++++++++++++ 3 files changed, 82 insertions(+), 13 deletions(-) create mode 100644 measure/src/test/resources/config-test-accuracy2.json create mode 100644 measure/src/test/resources/config-test-profiling2.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index 4e2b679c9..fe0e060f0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -26,25 +26,13 @@ case class SparkSqlAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { val ruleInfo = RuleInfo(getName(param), getRule(param), getDetails(param)) SparkSqlStep(timeInfo, ruleInfo) :: Nil -// SparkSqlStep(getName(param), getRule(param), getDetails(param), -// getPersistType(param), getUpdateDataSource(param)) :: Nil } def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] = { ruleStep match { case rs @ SparkSqlStep(ti, ri) => { adaptPhase match { case PreProcPhase => rs :: Nil - case RunPhase => { -// val repSel = rule.replaceFirst("(?i)select", s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`,") -// val groupbyRule = repSel.concat(s" GROUP BY `${GroupByColumn.tmst}`") -// val nrs = SparkSqlStep(name, groupbyRule, details, persistType, udsOpt) -// nrs :: Nil - val repSel = ri.rule.replaceFirst("(?i)select", s"SELECT `${GroupByColumn.tmst}` AS `${GroupByColumn.tmst}`,") - val groupbyRule = repSel.concat(s" GROUP BY `${GroupByColumn.tmst}`") - val nri = RuleInfo(ri.name, groupbyRule, ri.details) - val nrs = SparkSqlStep(ti, nri) - nrs :: Nil - } + case RunPhase => rs :: Nil } } case _ => Nil diff --git a/measure/src/test/resources/config-test-accuracy2.json b/measure/src/test/resources/config-test-accuracy2.json new file mode 100644 index 000000000..cc5e4e1dc --- /dev/null +++ b/measure/src/test/resources/config-test-accuracy2.json @@ -0,0 +1,46 @@ +{ + "name": "accu_batch_test", + + "timestamp": 12124214, + + "process.type": "batch", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + }, { + "name": "target", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_target.avro" + } + } + ] + } + ], + + "evaluateRule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "miss-records", + "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.user_id, '') = coalesce(target.user_id, '') AND coalesce(source.first_name, '') = coalesce(target.first_name, '') AND coalesce(source.post_code, '') = coalesce(target.post_code, '') WHERE (NOT (source.user_id IS NULL AND source.user_id IS NULL AND source.post_code IS NULL)) AND (target.user_id IS NULL AND target.user_id IS NULL AND target.post_code IS NULL)", + "details": { + "persist.type": "record" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/config-test-profiling2.json b/measure/src/test/resources/config-test-profiling2.json new file mode 100644 index 000000000..7a2650f51 --- /dev/null +++ b/measure/src/test/resources/config-test-profiling2.json @@ -0,0 +1,35 @@ +{ + "name": "prof_batch_test", + + "process.type": "batch", + + "timestamp": 123456, + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + } + ], + + "evaluateRule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "out", + "rule": "select source.post_code, count(*) as `dist-cnt` from source group by post_code", + "details": { + "persist.type": "metric" + } + } + ] + } +} \ No newline at end of file From 1e858f18a0343c4eb2a5a58813f40730229c85cf Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 29 Nov 2017 18:40:17 +0800 Subject: [PATCH 048/177] spark sql accuracy passed --- .../test/resources/config-test-accuracy2.json | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/measure/src/test/resources/config-test-accuracy2.json b/measure/src/test/resources/config-test-accuracy2.json index cc5e4e1dc..079baa789 100644 --- a/measure/src/test/resources/config-test-accuracy2.json +++ b/measure/src/test/resources/config-test-accuracy2.json @@ -40,6 +40,24 @@ "details": { "persist.type": "record" } + }, + { + "dsl.type": "spark-sql", + "name": "miss-count", + "rule": "SELECT count(*) as miss FROM `miss-records`" + }, + { + "dsl.type": "spark-sql", + "name": "total-count", + "rule": "SELECT count(*) as total FROM source" + }, + { + "dsl.type": "spark-sql", + "name": "accu", + "rule": "SELECT `miss-count`.miss, `total-count`.total, (`total-count`.total - `miss-count`.miss) as matched FROM `miss-count` FULL JOIN `total-count`", + "details": { + "persist.type": "metric" + } } ] } From a3083c8ebd0ee7189b5d236c52e790269179fb09 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 4 Dec 2017 14:56:50 +0800 Subject: [PATCH 049/177] rule param not done --- .../measure/process/engine/DqEngines.scala | 4 +- .../process/engine/SparkDqEngine.scala | 4 +- .../rule/adaptor/DataFrameOprAdaptor.scala | 12 +- .../rule/adaptor/GriffinDslAdaptor.scala | 189 ++++++++---------- .../measure/rule/adaptor/RuleAdaptor.scala | 52 +++-- .../rule/adaptor/RuleAdaptorGroup.scala | 9 +- .../rule/adaptor/SparkSqlAdaptor.scala | 12 +- .../measure/rule/dsl/CollectType.scala | 57 ++++++ .../griffin/measure/rule/dsl/DslType.scala | 9 +- .../griffin/measure/rule/step/RuleStep.scala | 50 +++-- .../griffin/measure/utils/ParamUtil.scala | 8 +- .../resources/config-test-accuracy-new.json | 55 +++++ .../resources/config-test-accuracy-new2.json | 64 ++++++ .../resources/config-test-profiling-new.json | 55 +++++ .../resources/config-test-profiling-new2.json | 35 ++++ 15 files changed, 440 insertions(+), 175 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/dsl/CollectType.scala create mode 100644 measure/src/test/resources/config-test-accuracy-new.json create mode 100644 measure/src/test/resources/config-test-accuracy-new2.json create mode 100644 measure/src/test/resources/config-test-profiling-new.json create mode 100644 measure/src/test/resources/config-test-profiling-new2.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 6f917c9d5..48f9c280f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -184,9 +184,9 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { dataSources: Seq[DataSource]): Unit = { stepRdds.foreach { stepRdd => val (step, rdd) = stepRdd - if (step.ruleInfo.updateDataSourceOpt.nonEmpty) { + if (step.ruleInfo.cacheDataSourceOpt.nonEmpty) { val udpateDataSources = dataSources.filter { ds => - step.ruleInfo.updateDataSourceOpt match { + step.ruleInfo.cacheDataSourceOpt match { case Some(dsName) if (dsName == ds.name) => true case _ => false } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 47080423d..e3dfd0e6a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -41,7 +41,7 @@ trait SparkDqEngine extends DqEngine { val pdf = sqlContext.table(s"`${name}`") val records: Array[String] = pdf.toJSON.collect() - val metricName = step.ruleInfo.originName + val metricName = step.ruleInfo.persistName val tmst = step.timeInfo.tmst val pairs = records.flatMap { rec => @@ -84,7 +84,7 @@ trait SparkDqEngine extends DqEngine { if (collectable) { ruleStep match { case step: ConcreteRuleStep if ((step.ruleInfo.persistType == RecordPersistType) - || (step.ruleInfo.updateDataSourceOpt.nonEmpty)) => { + || (step.ruleInfo.cacheDataSourceOpt.nonEmpty)) => { val name = step.name try { val pdf = sqlContext.table(s"`${name}`") diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 5967ddf4e..71fd7e1ca 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -36,11 +36,11 @@ case class DataFrameOprAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { } } - def getTempSourceNames(param: Map[String, Any]): Seq[String] = { - param.get(_name) match { - case Some(name) => name.toString :: Nil - case _ => Nil - } - } +// def getTempSourceNames(param: Map[String, Any]): Seq[String] = { +// param.get(_name) match { +// case Some(name) => name.toString :: Nil +// case _ => Nil +// } +// } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index cb7c2b675..2bda5a4d6 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -34,52 +34,56 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], adaptPhase: AdaptPhase ) extends RuleAdaptor { - object StepInfo { - val _Name = "name" - val _PersistType = "persist.type" - val _UpdateDataSource = "update.data.source" - def getNameOpt(param: Map[String, Any]): Option[String] = param.get(_Name).map(_.toString) - def getPersistType(param: Map[String, Any], defPersistType: PersistType): PersistType = PersistType(param.getString(_PersistType, defPersistType.desc)) - def getUpdateDataSourceOpt(param: Map[String, Any]): Option[String] = param.get(_UpdateDataSource).map(_.toString) - } object AccuracyInfo { - val _Source = "source" - val _Target = "target" - val _MissRecords = "miss.records" - val _Accuracy = "accuracy" - val _Miss = "miss" - val _Total = "total" - val _Matched = "matched" - } - object ProfilingInfo { - val _Source = "source" - val _Profiling = "profiling" - } - - def getNameOpt(param: Map[String, Any], key: String): Option[String] = param.get(key).map(_.toString) - def resultName(param: Map[String, Any], key: String): String = { - val nameOpt = param.get(key) match { - case Some(prm: Map[String, Any]) => StepInfo.getNameOpt(prm) - case _ => None - } - nameOpt.getOrElse(key) - } - def resultPersistType(param: Map[String, Any], key: String, defPersistType: PersistType): PersistType = { - param.get(key) match { - case Some(prm: Map[String, Any]) => StepInfo.getPersistType(prm, defPersistType) - case _ => defPersistType - } - } - def resultUpdateDataSourceOpt(param: Map[String, Any], key: String): Option[String] = { - param.get(key) match { - case Some(prm: Map[String, Any]) => StepInfo.getUpdateDataSourceOpt(prm) - case _ => None - } + ; } - val _dqType = "dq.type" - - protected def getDqType(param: Map[String, Any]) = DqType(param.getString(_dqType, "")) +// object StepInfo { +// val _Name = "name" +// val _PersistType = "persist.type" +// val _UpdateDataSource = "update.data.source" +// def getNameOpt(param: Map[String, Any]): Option[String] = param.get(_Name).map(_.toString) +// def getPersistType(param: Map[String, Any], defPersistType: PersistType): PersistType = PersistType(param.getString(_PersistType, defPersistType.desc)) +// def getUpdateDataSourceOpt(param: Map[String, Any]): Option[String] = param.get(_UpdateDataSource).map(_.toString) +// } +// object AccuracyInfo { +// val _Source = "source" +// val _Target = "target" +// val _MissRecords = "miss.records" +// val _Accuracy = "accuracy" +// val _Miss = "miss" +// val _Total = "total" +// val _Matched = "matched" +// } +// object ProfilingInfo { +// val _Source = "source" +// val _Profiling = "profiling" +// } + +// def getNameOpt(param: Map[String, Any], key: String): Option[String] = param.get(key).map(_.toString) +// def resultName(param: Map[String, Any], key: String): String = { +// val nameOpt = param.get(key) match { +// case Some(prm: Map[String, Any]) => StepInfo.getNameOpt(prm) +// case _ => None +// } +// nameOpt.getOrElse(key) +// } +// def resultPersistType(param: Map[String, Any], key: String, defPersistType: PersistType): PersistType = { +// param.get(key) match { +// case Some(prm: Map[String, Any]) => StepInfo.getPersistType(prm, defPersistType) +// case _ => defPersistType +// } +// } +// def resultUpdateDataSourceOpt(param: Map[String, Any], key: String): Option[String] = { +// param.get(key) match { +// case Some(prm: Map[String, Any]) => StepInfo.getUpdateDataSourceOpt(prm) +// case _ => None +// } +// } + +// val _dqType = "dq.type" +// +// protected def getDqType(param: Map[String, Any]) = DqType(param.getString(_dqType, "")) val filteredFunctionNames = functionNames.filter { fn => fn.matches("""^[a-zA-Z_]\w*$""") @@ -87,35 +91,36 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val parser = GriffinDslParser(dataSourceNames, filteredFunctionNames) def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { - val ruleInfo = RuleInfo(getName(param), getRule(param), getDetails(param)) - GriffinDslStep(timeInfo, ruleInfo, getDqType(param)) :: Nil + val ruleInfo = RuleInfoGen(param) + val dqType = RuleInfoGen.dqType(param) + GriffinDslStep(timeInfo, ruleInfo, dqType) :: Nil } - def getTempSourceNames(param: Map[String, Any]): Seq[String] = { - val dqType = getDqType(param) - param.get(_name) match { - case Some(name) => { - dqType match { - case AccuracyType => { - Seq[String]( - resultName(param, AccuracyInfo._MissRecords), - resultName(param, AccuracyInfo._Accuracy) - ) - } - case ProfilingType => { - Seq[String]( - resultName(param, ProfilingInfo._Profiling) - ) - } - case TimelinessType => { - Nil - } - case _ => Nil - } - } - case _ => Nil - } - } +// def getTempSourceNames(param: Map[String, Any]): Seq[String] = { +// val dqType = getDqType(param) +// param.get(_name) match { +// case Some(name) => { +// dqType match { +// case AccuracyType => { +// Seq[String]( +// resultName(param, AccuracyInfo._MissRecords), +// resultName(param, AccuracyInfo._Accuracy) +// ) +// } +// case ProfilingType => { +// Seq[String]( +// resultName(param, ProfilingInfo._Profiling) +// ) +// } +// case TimelinessType => { +// Nil +// } +// case _ => Nil +// } +// } +// case _ => Nil +// } +// } private def checkDataSourceExists(name: String): Boolean = { try { @@ -132,33 +137,21 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], ): Seq[ConcreteRuleStep] = { ruleStep match { case rs @ GriffinDslStep(_, ri, dqType) => { - val exprOpt = try { + try { val result = parser.parseRule(ri.rule, dqType) - if (result.successful) Some(result.get) - else { + if (result.successful) { + val expr = result.get + transConcreteRuleStep(rs, expr, dsTmsts) + } else { println(result) warn(s"adapt concrete rule step warn: parse rule [ ${ri.rule} ] fails") - None + Nil } } catch { case e: Throwable => { error(s"adapt concrete rule step error: ${e.getMessage}") - None - } - } - - exprOpt match { - case Some(expr) => { - try { - transConcreteRuleStep(rs, expr, dsTmsts) - } catch { - case e: Throwable => { - error(s"trans concrete rule step error: ${e.getMessage}") - Nil - } - } + Nil } - case _ => Nil } } case _ => Nil @@ -168,15 +161,9 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { ruleStep.dqType match { - case AccuracyType => { - transAccuracyRuleStep(ruleStep, expr, dsTmsts) - } - case ProfilingType => { - transProfilingRuleStep(ruleStep, expr, dsTmsts) - } - case TimelinessType => { - Nil - } + case AccuracyType => transAccuracyRuleStep(ruleStep, expr, dsTmsts) + case ProfilingType => transProfilingRuleStep(ruleStep, expr, dsTmsts) + case TimelinessType => Nil case _ => Nil } } @@ -184,8 +171,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], private def transAccuracyRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { val details = ruleStep.ruleInfo.details - val sourceName = getNameOpt(details, AccuracyInfo._Source).getOrElse(dataSourceNames.head) - val targetName = getNameOpt(details, AccuracyInfo._Target).getOrElse(dataSourceNames.tail.head) + val sourceName = details.getString("source", dataSourceNames.head) + val targetName = details.getString("target", dataSourceNames.tail.head) val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) val tmsts = dsTmsts.getOrElse(sourceName, Set.empty[Long]) @@ -216,7 +203,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], RuleInfo(missRecordsName, missRecordsSql, Map[String, Any]()) .withName(missRecordsName) .withPersistType(resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType)) - .withUpdateDataSourceOpt(resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords)) + .withCacheDataSourceOpt(resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords)) ) val tmstStepsPair = tmsts.map { tmst => diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index 1aa18516f..9a90bf8ce 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -24,40 +24,58 @@ import scala.collection.mutable.{Set => MutableSet} import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.rule.step._ -import org.apache.griffin.measure.rule.dsl.{DslType, PersistType} +import org.apache.griffin.measure.rule.dsl._ trait RuleAdaptor extends Loggable with Serializable { val adaptPhase: AdaptPhase - val _name = "name" - val _rule = "rule" -// val _persistType = "persist.type" -// val _updateDataSource = "update.data.source" - val _details = "details" + protected def genRuleInfo(param: Map[String, Any]): RuleInfo = RuleInfoGen(param) - protected def getName(param: Map[String, Any]) = param.getOrElse(_name, RuleStepNameGenerator.genName).toString - protected def getRule(param: Map[String, Any]) = param.getOrElse(_rule, "").toString -// protected def getPersistType(param: Map[String, Any]) = PersistType(param.getOrElse(_persistType, "").toString) -// protected def getUpdateDataSource(param: Map[String, Any]) = param.get(_updateDataSource).map(_.toString) - protected def getDetails(param: Map[String, Any]) = param.get(_details) match { - case Some(dt: Map[String, Any]) => dt - case _ => Map[String, Any]() - } +// protected def getName(param: Map[String, Any]) = param.getOrElse(_name, RuleStepNameGenerator.genName).toString +// protected def getRule(param: Map[String, Any]) = param.getOrElse(_rule, "").toString +// protected def getDetails(param: Map[String, Any]) = param.get(_details) match { +// case Some(dt: Map[String, Any]) => dt +// case _ => Map[String, Any]() +// } - def getTempSourceNames(param: Map[String, Any]): Seq[String] + def getPersistNames(steps: Seq[RuleStep]): Seq[String] = steps.map(_.ruleInfo.persistName) - def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] + protected def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] + protected def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] def genConcreteRuleStep(timeInfo: TimeInfo, param: Map[String, Any], dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { genRuleStep(timeInfo, param).flatMap { rs => adaptConcreteRuleStep(rs, dsTmsts) } } - protected def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] } +object RuleInfoKeys { + val _name = "name" + val _rule = "rule" + val _details = "details" + + val _dslType = "dsl.type" + val _dqType = "dq.type" +} +import RuleInfoKeys._ +import org.apache.griffin.measure.utils.ParamUtil._ + +object RuleInfoGen { + def apply(param: Map[String, Any]): RuleInfo = { + RuleInfo( + param.getString(_name, RuleStepNameGenerator.genName), + param.getString(_rule, ""), + param.getParamMap(_details, Map[String, Any]()) + ) + } + + def dslType(param: Map[String, Any]): DslType = DslType(param.getString(_dslType, "")) + def dqType(param: Map[String, Any]): DqType = DqType(param.getString(_dqType, "")) +} + object RuleStepNameGenerator { private val counter: AtomicLong = new AtomicLong(0L) private val head: String = "rs" diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 9e4c98b40..11fe53544 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -29,7 +29,8 @@ import scala.collection.mutable.{Map => MutableMap} object RuleAdaptorGroup { - val _dslType = "dsl.type" +// val _dslType = "dsl.type" + import RuleInfoKeys._ var dataSourceNames: Seq[String] = _ var functionNames: Seq[String] = _ @@ -97,8 +98,10 @@ object RuleAdaptorGroup { val (preSteps, preNames) = res val dslType = getDslType(param, defDslType) val (curSteps, curNames) = genRuleAdaptor(dslType, preNames, procType, adaptPhase) match { - case Some(ruleAdaptor) => (ruleAdaptor.genConcreteRuleStep(timeInfo, param, dsTmsts), - preNames ++ ruleAdaptor.getTempSourceNames(param)) + case Some(ruleAdaptor) => { + val concreteSteps = ruleAdaptor.genConcreteRuleStep(timeInfo, param, dsTmsts) + (concreteSteps, preNames ++ ruleAdaptor.getPersistNames(concreteSteps)) + } case _ => (Nil, preNames) } (preSteps ++ curSteps, curNames) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index fe0e060f0..391f9fd18 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -39,11 +39,11 @@ case class SparkSqlAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { } } - def getTempSourceNames(param: Map[String, Any]): Seq[String] = { - param.get(_name) match { - case Some(name) => name.toString :: Nil - case _ => Nil - } - } +// def getTempSourceNames(param: Map[String, Any]): Seq[String] = { +// param.get(_name) match { +// case Some(name) => name.toString :: Nil +// case _ => Nil +// } +// } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/CollectType.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/CollectType.scala new file mode 100644 index 000000000..85e995c09 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/CollectType.scala @@ -0,0 +1,57 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.dsl + +import scala.util.matching.Regex + +sealed trait CollectType { + val regex: Regex + val desc: String +} + +object CollectType { + private val collectTypes: List[CollectType] = List(DefaultCollectType, EntriesCollectType, ArrayCollectType, MapCollectType) + def apply(ptn: String): CollectType = { + collectTypes.filter(tp => ptn match { + case tp.regex() => true + case _ => false + }).headOption.getOrElse(DefaultCollectType) + } + def unapply(pt: CollectType): Option[String] = Some(pt.desc) +} + +final case object DefaultCollectType extends CollectType { + val regex: Regex = "".r + val desc: String = "default" +} + +final case object EntriesCollectType extends CollectType { + val regex: Regex = "^(?i)entries$".r + val desc: String = "entries" +} + +final case object ArrayCollectType extends CollectType { + val regex: Regex = "^(?i)array$".r + val desc: String = "array" +} + +final case object MapCollectType extends CollectType { + val regex: Regex = "^(?i)map$".r + val desc: String = "map" +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DslType.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DslType.scala index cfda393e2..27ab2ac80 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DslType.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DslType.scala @@ -27,12 +27,12 @@ sealed trait DslType { } object DslType { - private val dslTypes: List[DslType] = List(SparkSqlType, GriffinDslType, DfOprType, UnknownDslType) + private val dslTypes: List[DslType] = List(SparkSqlType, GriffinDslType, DfOprType) def apply(ptn: String): DslType = { dslTypes.filter(tp => ptn match { case tp.regex() => true case _ => false - }).headOption.getOrElse(UnknownDslType) + }).headOption.getOrElse(GriffinDslType) } def unapply(pt: DslType): Option[String] = Some(pt.desc) } @@ -50,9 +50,4 @@ final case object DfOprType extends DslType { final case object GriffinDslType extends DslType { val regex = "^(?i)griffin-?dsl$".r val desc = "griffin-dsl" -} - -final case object UnknownDslType extends DslType { - val regex = "".r - val desc = "unknown" } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala index 6acfd70a3..db2686b30 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala @@ -18,6 +18,8 @@ under the License. */ package org.apache.griffin.measure.rule.step +import java.util.concurrent.atomic.AtomicLong + import org.apache.griffin.measure.rule.dsl._ trait RuleStep extends Serializable { @@ -38,39 +40,33 @@ trait RuleStep extends Serializable { case class TimeInfo(calcTime: Long, tmst: Long) {} +object RuleDetailKeys { + val _persistName = "persist.name" + val _persistType = "persist.type" + val _collectType = "collect.type" + val _cacheDataSource = "cache.data.source" +} +import RuleDetailKeys._ +import org.apache.griffin.measure.utils.ParamUtil._ + case class RuleInfo(name: String, rule: String, details: Map[String, Any]) { - private val _name = "name" - private val _persistType = "persist.type" - private val _asArray = "as.array" - private val _updateDataSource = "update.data.source" - def persistType = PersistType(details.getOrElse(_persistType, "").toString) - def updateDataSourceOpt = details.get(_updateDataSource).map(_.toString) + def persistName = details.getString(_persistName, name) + def persistType = PersistType(details.getString(_persistType, "")) + def collectType = CollectType(details.getString(_collectType, "")) + def cacheDataSourceOpt = details.get(_cacheDataSource).map(_.toString) - def withName(n: String): RuleInfo = { - RuleInfo(name, rule, details + (_name -> n)) + def withPersistName(n: String): RuleInfo = { + RuleInfo(name, rule, details + (_persistName -> n)) } def withPersistType(pt: PersistType): RuleInfo = { RuleInfo(name, rule, details + (_persistType -> pt.desc)) } - def withUpdateDataSourceOpt(udsOpt: Option[String]): RuleInfo = { - udsOpt match { - case Some(uds) => RuleInfo(name, rule, details + (_updateDataSource -> uds)) - case _ => this - } + def withCollectType(ct: CollectType): RuleInfo = { + RuleInfo(name, rule, details + (_collectType -> ct.desc)) } - - def originName: String = { - details.getOrElse(_name, name).toString + def withCacheDataSourceOpt(udsOpt: Option[String]): RuleInfo = { + udsOpt.map(uds => RuleInfo(name, rule, details + (_cacheDataSource -> uds))).getOrElse(this) } - def asArray: Boolean = { - try { - details.get(_asArray) match { - case Some(v) => v.toString.toBoolean - case _ => false - } - } catch { - case e: Throwable => false - } - } -} \ No newline at end of file +} + diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala index 14556e16a..903356cf6 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala @@ -160,14 +160,14 @@ object ParamUtil { } } - def getParamMapOpt(key: String): Option[Map[String, Any]] = { + def getParamMap(key: String, defValue: Map[String, Any]): Map[String, Any] = { try { params.get(key) match { - case Some(v: Map[String, Any]) => Some(v) - case _ => None + case Some(v: Map[String, Any]) => v + case _ => defValue } } catch { - case _: Throwable => None + case _: Throwable => defValue } } } diff --git a/measure/src/test/resources/config-test-accuracy-new.json b/measure/src/test/resources/config-test-accuracy-new.json new file mode 100644 index 000000000..1f6f8ad4d --- /dev/null +++ b/measure/src/test/resources/config-test-accuracy-new.json @@ -0,0 +1,55 @@ +{ + "name": "accu_batch_test", + + "timestamp": 12124214, + + "process.type": "batch", + + "data.sources": [ + { + "name": "src", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + }, { + "name": "tgt", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_target.avro" + } + } + ] + } + ], + + "evaluateRule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "accuracy", + "name": "accuracy", + "rule": "src.user_id = tgt.user_id AND upper(src.first_name) = upper(tgt.first_name) AND src.last_name = tgt.last_name AND src.address = tgt.address AND src.email = tgt.email AND src.phone = tgt.phone AND src.post_code = tgt.post_code", + "details": { + "persist.type": "metric", + "source": "src", + "target": "tgt", + "miss": "miss_count", + "total": "total_count", + "matched": "matched_count", + "miss.records": { + "persist.type": "record" + } + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/config-test-accuracy-new2.json b/measure/src/test/resources/config-test-accuracy-new2.json new file mode 100644 index 000000000..079baa789 --- /dev/null +++ b/measure/src/test/resources/config-test-accuracy-new2.json @@ -0,0 +1,64 @@ +{ + "name": "accu_batch_test", + + "timestamp": 12124214, + + "process.type": "batch", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + }, { + "name": "target", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_target.avro" + } + } + ] + } + ], + + "evaluateRule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "miss-records", + "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.user_id, '') = coalesce(target.user_id, '') AND coalesce(source.first_name, '') = coalesce(target.first_name, '') AND coalesce(source.post_code, '') = coalesce(target.post_code, '') WHERE (NOT (source.user_id IS NULL AND source.user_id IS NULL AND source.post_code IS NULL)) AND (target.user_id IS NULL AND target.user_id IS NULL AND target.post_code IS NULL)", + "details": { + "persist.type": "record" + } + }, + { + "dsl.type": "spark-sql", + "name": "miss-count", + "rule": "SELECT count(*) as miss FROM `miss-records`" + }, + { + "dsl.type": "spark-sql", + "name": "total-count", + "rule": "SELECT count(*) as total FROM source" + }, + { + "dsl.type": "spark-sql", + "name": "accu", + "rule": "SELECT `miss-count`.miss, `total-count`.total, (`total-count`.total - `miss-count`.miss) as matched FROM `miss-count` FULL JOIN `total-count`", + "details": { + "persist.type": "metric" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/config-test-profiling-new.json b/measure/src/test/resources/config-test-profiling-new.json new file mode 100644 index 000000000..5561de585 --- /dev/null +++ b/measure/src/test/resources/config-test-profiling-new.json @@ -0,0 +1,55 @@ +{ + "name": "prof_batch_test", + + "process.type": "batch", + + "timestamp": 123456, + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + } + ], + + "evaluateRule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "profiling", + "rule": "select count(*) from source", + "details": { + "persist.type": "metric" + } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "dist-name", + "rule": "select count ( distinct source.post_code ) as `dis-cnt` from source", + "details": { + "persist.type": "metric" + } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "pri", + "rule": "source.last_name, count(*) as `cnt` from source group by source.last_name", + "details": { + "persist.type": "metric", + "collect.type": "default|entries|array|map" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/config-test-profiling-new2.json b/measure/src/test/resources/config-test-profiling-new2.json new file mode 100644 index 000000000..7a2650f51 --- /dev/null +++ b/measure/src/test/resources/config-test-profiling-new2.json @@ -0,0 +1,35 @@ +{ + "name": "prof_batch_test", + + "process.type": "batch", + + "timestamp": 123456, + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + } + ], + + "evaluateRule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "out", + "rule": "select source.post_code, count(*) as `dist-cnt` from source group by post_code", + "details": { + "persist.type": "metric" + } + } + ] + } +} \ No newline at end of file From f62c9a9ebd4c6bf420d701747f48b746fbee7d28 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 4 Dec 2017 22:54:55 +0800 Subject: [PATCH 050/177] param --- .../process/engine/DataFrameOprEngine.scala | 9 +-- .../rule/adaptor/GriffinDslAdaptor.scala | 64 +++++++++---------- .../measure/rule/adaptor/RuleAdaptor.scala | 2 +- .../griffin/measure/utils/ParamUtil.scala | 11 +++- 4 files changed, 46 insertions(+), 40 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index d5905fca5..547332f9e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -33,6 +33,7 @@ import org.apache.spark.rdd.RDD import org.apache.spark.sql.types.{LongType, StringType, StructField, StructType} import org.apache.spark.sql.{DataFrame, Row, SQLContext} import org.apache.spark.streaming.StreamingContext +import org.apache.griffin.measure.utils.ParamUtil._ case class DataFrameOprEngine(sqlContext: SQLContext) extends SparkDqEngine { @@ -101,10 +102,10 @@ object DataFrameOprs { val _total = "total" val _matched = "matched" // val _tmst = "tmst" - val dfName = details.getOrElse(_dfName, _dfName).toString - val miss = details.getOrElse(_miss, _miss).toString - val total = details.getOrElse(_total, _total).toString - val matched = details.getOrElse(_matched, _matched).toString + val dfName = details.getStringOrKey(_dfName) + val miss = details.getStringOrKey(_miss) + val total = details.getStringOrKey(_total) + val matched = details.getStringOrKey(_matched) // val tmst = details.getOrElse(_tmst, _tmst).toString // val tmst = GroupByColumn.tmst diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 2bda5a4d6..c8c4a952c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -34,8 +34,16 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], adaptPhase: AdaptPhase ) extends RuleAdaptor { - object AccuracyInfo { - ; + object AccuracyKeys { + val _source = "source" + val _target = "target" + val _miss = "miss" + val _total = "total" + val _matched = "matched" + val _missRecords = "miss.records" + } + object ProfilingKeys { + val _source = "source" } // object StepInfo { @@ -171,12 +179,11 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], private def transAccuracyRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] ): Seq[ConcreteRuleStep] = { val details = ruleStep.ruleInfo.details - val sourceName = details.getString("source", dataSourceNames.head) - val targetName = details.getString("target", dataSourceNames.tail.head) + val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) + val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) val tmsts = dsTmsts.getOrElse(sourceName, Set.empty[Long]) -// val targetTmsts = dsTmsts.getOrElse(targetName, Set.empty[Long]) if (!checkDataSourceExists(sourceName)) { Nil @@ -197,13 +204,13 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" } - val missRecordsName = resultName(details, AccuracyInfo._MissRecords) + val missRecordsName = AccuracyKeys._missRecords + val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) + .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) + .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) val missRecordsStep = SparkSqlStep( ruleStep.timeInfo, - RuleInfo(missRecordsName, missRecordsSql, Map[String, Any]()) - .withName(missRecordsName) - .withPersistType(resultPersistType(details, AccuracyInfo._MissRecords, RecordPersistType)) - .withCacheDataSourceOpt(resultUpdateDataSourceOpt(details, AccuracyInfo._MissRecords)) + RuleInfo(missRecordsName, missRecordsSql, missRecordsParams) ) val tmstStepsPair = tmsts.map { tmst => @@ -212,7 +219,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 2. miss count val missTableName = "_miss_" val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) - val missColName = getNameOpt(details, AccuracyInfo._Miss).getOrElse(AccuracyInfo._Miss) + val missColName = details.getStringOrKey(AccuracyKeys._miss) val missSql = { s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" } @@ -224,7 +231,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 3. total count val totalTableName = "_total_" val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) - val totalColName = getNameOpt(details, AccuracyInfo._Total).getOrElse(AccuracyInfo._Total) + val totalColName = details.getStringOrKey(AccuracyKeys._total) val totalSql = { s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" } @@ -234,9 +241,9 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], ) // 4. accuracy metric - val accuracyMetricName = resultName(details, AccuracyInfo._Accuracy) + val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) - val matchedColName = getNameOpt(details, AccuracyInfo._Matched).getOrElse(AccuracyInfo._Matched) + val matchedColName = details.getStringOrKey(AccuracyKeys._matched) val accuracyMetricSql = { s""" |SELECT `${tmstMissTableName}`.`${missColName}` AS `${missColName}`, @@ -247,19 +254,15 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuracyMetricStep = SparkSqlStep( timeInfo, RuleInfo(tmstAccuracyMetricName, accuracyMetricSql, details) - .withName(accuracyMetricName) ) // 5. accuracy metric filter + val accuracyParams = details.addIfNotExist("df.name", tmstAccuracyMetricName) + .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) + .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) val accuracyStep = DfOprStep( timeInfo, - RuleInfo(tmstAccuracyMetricName, "accuracy", Map[String, Any]( - ("df.name" -> tmstAccuracyMetricName), - ("miss" -> missColName), - ("total" -> totalColName), - ("matched" -> matchedColName) - )).withPersistType(resultPersistType(details, AccuracyInfo._Accuracy, MetricPersistType)) - .withName(accuracyMetricName) + RuleInfo(tmstAccuracyMetricName, "accuracy", accuracyParams) ) (missStep :: totalStep :: accuracyMetricStep :: Nil, accuracyStep :: Nil) @@ -277,12 +280,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val profilingClause = expr.asInstanceOf[ProfilingClause] val sourceName = profilingClause.fromClauseOpt match { case Some(fc) => fc.dataSource - case _ => { - getNameOpt(details, ProfilingInfo._Source) match { - case Some(name) => name - case _ => dataSourceNames.head - } - } + case _ => details.getString(ProfilingKeys._source, dataSourceNames.head) } val tmsts = dsTmsts.getOrElse(sourceName, Set.empty[Long]) val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc @@ -322,18 +320,16 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], ) // 2. select statement -// val partFromClause = FromClause(tmstSourceName).desc val profilingSql = { s"SELECT ${selCondition} ${selClause} ${tmstFromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" } -// println(profilingSql) - val metricName = resultName(details, ProfilingInfo._Profiling) + val metricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) val tmstMetricName = TempName.tmstName(metricName, timeInfo) + val profilingParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) + .addIfNotExist(RuleDetailKeys._persistName, metricName) val profilingStep = SparkSqlStep( timeInfo, - RuleInfo(tmstMetricName, profilingSql, details) - .withName(metricName) - .withPersistType(resultPersistType(details, ProfilingInfo._Profiling, MetricPersistType)) + RuleInfo(tmstMetricName, profilingSql, profilingParams) ) filterStep :: profilingStep :: Nil diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index 9a90bf8ce..e3247ad9b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -68,7 +68,7 @@ object RuleInfoGen { RuleInfo( param.getString(_name, RuleStepNameGenerator.genName), param.getString(_rule, ""), - param.getParamMap(_details, Map[String, Any]()) + param.getParamMap(_details) ) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala index 903356cf6..790f8ad60 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala @@ -47,6 +47,8 @@ object ParamUtil { } } + def getStringOrKey(key: String): String = getString(key, key) + def getByte(key: String, defValue: Byte): Byte = { try { params.get(key) match { @@ -160,7 +162,7 @@ object ParamUtil { } } - def getParamMap(key: String, defValue: Map[String, Any]): Map[String, Any] = { + def getParamMap(key: String, defValue: Map[String, Any] = Map[String, Any]()): Map[String, Any] = { try { params.get(key) match { case Some(v: Map[String, Any]) => v @@ -170,6 +172,13 @@ object ParamUtil { case _: Throwable => defValue } } + + def addIfNotExist(key: String, value: Any): Map[String, Any] = { + params.get(key) match { + case Some(v) => params + case _ => params + (key -> value) + } + } } } From 1101dab467a8550e63f608b4daa4b169c66d9178 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 4 Dec 2017 23:35:34 +0800 Subject: [PATCH 051/177] compile --- .../measure/process/engine/SparkDqEngine.scala | 18 +++++++++++++----- .../rule/adaptor/DataFrameOprAdaptor.scala | 2 +- .../rule/adaptor/RuleAdaptorGroup.scala | 6 +----- .../measure/rule/adaptor/SparkSqlAdaptor.scala | 2 +- 4 files changed, 16 insertions(+), 12 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index e3dfd0e6a..50978cb00 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -21,7 +21,7 @@ package org.apache.griffin.measure.process.engine import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} import org.apache.griffin.measure.data.connector.GroupByColumn import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.rule.dsl.{MetricPersistType, RecordPersistType} +import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD @@ -60,11 +60,19 @@ trait SparkDqEngine extends DqEngine { case _ => ret + (k -> (v :: Nil)) } } + groupedPairs.mapValues { vs => - if (step.ruleInfo.asArray || vs.size > 1) { - Map[String, Any]((metricName -> vs)) - } else { - vs.headOption.getOrElse(emptyMap) + step.ruleInfo.collectType match { + case EntriesCollectType => vs.headOption.getOrElse(emptyMap) + case ArrayCollectType => Map[String, Any]((metricName -> vs)) + case MapCollectType => { + val v = vs.headOption.getOrElse(emptyMap) + Map[String, Any]((metricName -> v)) + } + case _ => { + if (vs.size > 1) Map[String, Any]((metricName -> vs)) + else vs.headOption.getOrElse(emptyMap) + } } } } catch { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 71fd7e1ca..229feca43 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -24,7 +24,7 @@ import org.apache.griffin.measure.rule.step._ case class DataFrameOprAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { - val ruleInfo = RuleInfo(getName(param), getRule(param), getDetails(param)) + val ruleInfo = RuleInfoGen(param) DfOprStep(timeInfo, ruleInfo) :: Nil // DfOprStep(getName(param), getRule(param), getDetails(param), // getPersistType(param), getUpdateDataSource(param)) :: Nil diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 11fe53544..b40abb6cb 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -46,11 +46,7 @@ object RuleAdaptorGroup { } private def getDslType(param: Map[String, Any], defDslType: DslType) = { - val dt = DslType(param.getOrElse(_dslType, "").toString) - dt match { - case UnknownDslType => defDslType - case _ => dt - } + DslType(param.getOrElse(_dslType, defDslType.desc).toString) } private def genRuleAdaptor(dslType: DslType, dsNames: Seq[String], diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index 391f9fd18..03a61db74 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -24,7 +24,7 @@ import org.apache.griffin.measure.rule.step._ case class SparkSqlAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { - val ruleInfo = RuleInfo(getName(param), getRule(param), getDetails(param)) + val ruleInfo = RuleInfoGen(param) SparkSqlStep(timeInfo, ruleInfo) :: Nil } def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] = { From b16a005c019a3545ac5bf86b858715299cb9858e Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 5 Dec 2017 12:05:46 +0800 Subject: [PATCH 052/177] slow --- .../griffin/measure/process/engine/DataFrameOprEngine.scala | 2 +- .../org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index d5905fca5..fc7aa4d3b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -90,7 +90,7 @@ object DataFrameOprs { case Some(colName: String) => df.map(_.getAs[String](colName)) case _ => df.map(_.getAs[String](0)) } - sqlContext.read.json(rdd) + sqlContext.read.json(rdd) // slow process } def accuracy(sqlContext: SQLContext, timeInfo: TimeInfo, ruleInfo: RuleInfo): DataFrame = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala index 416f56738..ca709d2cb 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala @@ -32,8 +32,8 @@ object HdfsFileDumpUtil { } def splitRdd[T](rdd: RDD[T])(implicit m: Manifest[T]): RDD[(Long, Iterable[T])] = { - val indexRdd = rdd.zipWithIndex - indexRdd.map(p => ((p._2 / sepCount), p._1)).groupByKey() + val indexRdd = rdd.zipWithIndex // slow process + indexRdd.map(p => ((p._2 / sepCount), p._1)).groupByKey() // slow process } def splitIterable[T](datas: Iterable[T])(implicit m: Manifest[T]): Iterator[(Int, Iterable[T])] = { val groupedData = datas.grouped(sepCount).zipWithIndex From 2f1243c36629f98ba4e2f0480da25414c5717cfb Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 5 Dec 2017 12:36:03 +0800 Subject: [PATCH 053/177] test --- .../measure/rule/adaptor/GriffinDslAdaptor.scala | 2 +- .../rule/adaptor/GriffinDslAdaptorTest.scala | 14 +++++++------- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index c8c4a952c..49d97529b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -253,7 +253,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val accuracyMetricStep = SparkSqlStep( timeInfo, - RuleInfo(tmstAccuracyMetricName, accuracyMetricSql, details) + RuleInfo(tmstAccuracyMetricName, accuracyMetricSql, Map[String, Any]()) ) // 5. accuracy metric filter diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 404a2c571..36496af24 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -38,13 +38,11 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w |{ | "dsl.type": "griffin-dsl", | "dq.type": "profiling", + | "name": "prof", | "rule": "count(*)", | "details": { | "source": "source", - | "profiling": { - | "name": "prof", - | "persist.type": "metric" - | } + | "persist.type": "record" | } |} """.stripMargin @@ -61,7 +59,7 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) steps.foreach { step => - println(s"${step.name} [${step.dslType}]: ${step.ruleInfo.rule}") + println(s"${step}") } } @@ -73,10 +71,12 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w |{ | "dsl.type": "griffin-dsl", | "dq.type": "accuracy", + | "name": "accu", | "rule": "source.id = target.id and source.name = target.name", | "details": { | "source": "source", - | "target": "target" + | "target": "target", + | "persist.type": "metric" | } |} """.stripMargin @@ -94,7 +94,7 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) steps.foreach { step => - println(s"${step.name} [${step.dslType}]: ${step.ruleInfo.rule}") + println(s"${step}, ${step.ruleInfo.persistType}") } } From 982d1742b96d4ce7d4ba5e1324db92a9296f8e79 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 5 Dec 2017 16:02:40 +0800 Subject: [PATCH 054/177] pass batch test --- .../data/connector/DataConnector.scala | 2 +- .../measure/process/engine/DqEngine.scala | 2 +- .../measure/process/engine/DqEngines.scala | 6 +-- .../process/engine/SparkDqEngine.scala | 49 +++++++------------ .../measure/rule/dsl/CollectType.scala | 2 +- .../resources/config-test-profiling-new.json | 4 +- .../resources/config-test-profiling-new2.json | 5 +- 7 files changed, 30 insertions(+), 40 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 80a022bcd..ba747bb9e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -92,7 +92,7 @@ trait DataConnector extends Loggable with Serializable { // add tmst val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) -// val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)) +// val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)).limit(10) // tmst cache saveTmst(ms) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index 0332c1df4..2ada4ef0f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -33,7 +33,7 @@ trait DqEngine extends Loggable with Serializable { protected def collectable(): Boolean = false - def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] + def collectMetrics(ruleStep: ConcreteRuleStep): Option[(Long, Map[String, Any])] // def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] // diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 48f9c280f..d78554572 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -139,9 +139,9 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { // engine.collectUpdateCacheDatas(ruleStep, timeGroups) // }.headOption // } - def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] = { - val ret = engines.foldLeft(Map[Long, Map[String, Any]]()) { (ret, engine) => - ret ++ engine.collectMetrics(ruleStep) + def collectMetrics(ruleStep: ConcreteRuleStep): Option[(Long, Map[String, Any])] = { + val ret = engines.foldLeft(None: Option[(Long, Map[String, Any])]) { (ret, engine) => + if (ret.nonEmpty) ret else engine.collectMetrics(ruleStep) } ret } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 50978cb00..1c7b8a154 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -31,60 +31,49 @@ trait SparkDqEngine extends DqEngine { val sqlContext: SQLContext - def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] = { + def collectMetrics(ruleStep: ConcreteRuleStep): Option[(Long, Map[String, Any])] = { if (collectable) { val emptyMap = Map[String, Any]() ruleStep match { case step: ConcreteRuleStep if (step.ruleInfo.persistType == MetricPersistType) => { val name = step.name + val tmst = step.timeInfo.tmst + val metricName = step.ruleInfo.persistName try { val pdf = sqlContext.table(s"`${name}`") val records: Array[String] = pdf.toJSON.collect() - val metricName = step.ruleInfo.persistName - val tmst = step.timeInfo.tmst - - val pairs = records.flatMap { rec => + val flatRecords = records.flatMap { rec => try { val value = JsonUtil.toAnyMap(rec) - Some((tmst, value)) + Some(value) } catch { case e: Throwable => None } - } - val groupedPairs: Map[Long, Seq[Map[String, Any]]] = - pairs.foldLeft(Map[Long, Seq[Map[String, Any]]]()) { (ret, pair) => - val (k, v) = pair - ret.get(k) match { - case Some(seq) => ret + (k -> (seq :+ v)) - case _ => ret + (k -> (v :: Nil)) - } + }.toSeq + val metrics = step.ruleInfo.collectType match { + case EntriesCollectType => flatRecords.headOption.getOrElse(emptyMap) + case ArrayCollectType => Map[String, Any]((metricName -> flatRecords)) + case MapCollectType => { + val v = flatRecords.headOption.getOrElse(emptyMap) + Map[String, Any]((metricName -> v)) } - - groupedPairs.mapValues { vs => - step.ruleInfo.collectType match { - case EntriesCollectType => vs.headOption.getOrElse(emptyMap) - case ArrayCollectType => Map[String, Any]((metricName -> vs)) - case MapCollectType => { - val v = vs.headOption.getOrElse(emptyMap) - Map[String, Any]((metricName -> v)) - } - case _ => { - if (vs.size > 1) Map[String, Any]((metricName -> vs)) - else vs.headOption.getOrElse(emptyMap) - } + case _ => { + if (flatRecords.size > 1) Map[String, Any]((metricName -> flatRecords)) + else flatRecords.headOption.getOrElse(emptyMap) } } + Some((tmst, metrics)) } catch { case e: Throwable => { error(s"collect metrics ${name} error: ${e.getMessage}") - Map[Long, Map[String, Any]]() + None } } } - case _ => Map[Long, Map[String, Any]]() + case _ => None } - } else Map[Long, Map[String, Any]]() + } else None } def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long] diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/CollectType.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/CollectType.scala index 85e995c09..03a43d619 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/CollectType.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/CollectType.scala @@ -47,7 +47,7 @@ final case object EntriesCollectType extends CollectType { } final case object ArrayCollectType extends CollectType { - val regex: Regex = "^(?i)array$".r + val regex: Regex = "^(?i)array|list$".r val desc: String = "array" } diff --git a/measure/src/test/resources/config-test-profiling-new.json b/measure/src/test/resources/config-test-profiling-new.json index 5561de585..8a6454800 100644 --- a/measure/src/test/resources/config-test-profiling-new.json +++ b/measure/src/test/resources/config-test-profiling-new.json @@ -35,7 +35,7 @@ "dsl.type": "griffin-dsl", "dq.type": "profiling", "name": "dist-name", - "rule": "select count ( distinct source.post_code ) as `dis-cnt` from source", + "rule": "select count ( distinct source.post_code ) as `dis-cnt`, max(source.user_id) from source", "details": { "persist.type": "metric" } @@ -47,7 +47,7 @@ "rule": "source.last_name, count(*) as `cnt` from source group by source.last_name", "details": { "persist.type": "metric", - "collect.type": "default|entries|array|map" + "collect.type": "list" } } ] diff --git a/measure/src/test/resources/config-test-profiling-new2.json b/measure/src/test/resources/config-test-profiling-new2.json index 7a2650f51..73ad0da61 100644 --- a/measure/src/test/resources/config-test-profiling-new2.json +++ b/measure/src/test/resources/config-test-profiling-new2.json @@ -25,9 +25,10 @@ { "dsl.type": "spark-sql", "name": "out", - "rule": "select source.post_code, count(*) as `dist-cnt` from source group by post_code", + "rule": "select post_code, count(*) as `dist-cnt` from source group by post_code", "details": { - "persist.type": "metric" + "persist.type": "metric", + "collect.type": "array" } } ] From 2f36ab653d0efc53fe223389a1a21cb1dc702b29 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 7 Dec 2017 14:34:51 +0800 Subject: [PATCH 055/177] tmstNameOpt --- .../apache/griffin/measure/Application.scala | 9 +- .../griffin/measure/cache/tmst/TempName.scala | 16 +- .../config/params/user/DataSourceParam.scala | 5 +- .../config/params/user/UserParam.scala | 33 +- .../config/validator/AllParamValidator.scala | 34 -- .../config/validator/ParamValidator.scala | 8 +- .../data/connector/DataConnector.scala | 12 +- .../measure/data/source/DataSource.scala | 12 +- .../data/source/DataSourceFactory.scala | 27 +- .../measure/process/BatchDqProcess.scala | 42 +- .../measure/process/StreamingDqProcess.scala | 2 +- .../measure/process/StreamingDqThread.scala | 164 ++++---- .../process/engine/DataFrameOprEngine.scala | 6 +- .../process/engine/SparkDqEngine.scala | 10 +- .../process/engine/SparkSqlEngine.scala | 1 + .../rule/adaptor/DataFrameOprAdaptor.scala | 6 +- .../rule/adaptor/GriffinDslAdaptor.scala | 394 +++++++++--------- .../measure/rule/adaptor/RuleAdaptor.scala | 24 +- .../rule/adaptor/RuleAdaptorGroup.scala | 105 +++-- .../rule/adaptor/SparkSqlAdaptor.scala | 23 +- .../measure/rule/dsl/PersistType.scala | 2 + .../griffin/measure/rule/step/RuleStep.scala | 37 +- .../resources/config-test-accuracy-new.json | 1 + .../resources/config-test-accuracy-new2.json | 1 + .../resources/config-test-profiling-new.json | 18 + .../validator/AllParamValidatorTest.scala | 14 +- .../rule/adaptor/GriffinDslAdaptorTest.scala | 76 ++-- .../rule/adaptor/SparkSqlAdaptorTest.scala | 14 +- 28 files changed, 631 insertions(+), 465 deletions(-) delete mode 100644 measure/src/main/scala/org/apache/griffin/measure/config/validator/AllParamValidator.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/Application.scala b/measure/src/main/scala/org/apache/griffin/measure/Application.scala index edbb552af..43781f274 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/Application.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/Application.scala @@ -22,7 +22,7 @@ import org.apache.griffin.measure.config.params._ import org.apache.griffin.measure.config.params.env._ import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.config.reader._ -import org.apache.griffin.measure.config.validator.AllParamValidator +import org.apache.griffin.measure.config.validator._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.PersistThreadPool import org.apache.griffin.measure.process._ @@ -68,7 +68,7 @@ object Application extends Loggable { val allParam: AllParam = AllParam(envParam, userParam) // validate param files - validateParams(allParam) match { + ParamValidator.validate(allParam) match { case Failure(ex) => { error(ex.getMessage) sys.exit(-3) @@ -171,11 +171,6 @@ object Application extends Loggable { paramReader.readConfig[T] } - private def validateParams(allParam: AllParam): Try[Boolean] = { - val allParamValidator = AllParamValidator() - allParamValidator.validate(allParam) - } - private def shutdown(): Unit = { PersistThreadPool.shutdown } diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala index ea4363068..7e0feb987 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala @@ -23,18 +23,22 @@ import org.apache.griffin.measure.rule.step.TimeInfo object TempName extends Loggable { + def tmstName(name: String, ms: Long) = { + s"${name}(${ms})" + } + //-- temp df name -- - private val tmstNameRegex = """^(.*)\[(\d*)\]\((\d*)\)$""".r + private val tmstNameRegex = """^(.*)\((\d*)\)\[(\d*)\]$""".r def tmstName(name: String, timeInfo: TimeInfo) = { val TimeInfo(calcTime, tmst) = timeInfo - s"${name}[${tmst}](${calcTime})" + s"${name}(${calcTime})[${tmst}]" } - def extractTmstName(tmstName: String): (String, Option[Long]) = { + def extractTmstName(tmstName: String): (String, Option[Long], Option[Long]) = { tmstName match { - case tmstNameRegex(name, tmst, _) => { - try { (name, Some(tmst.toLong)) } catch { case e: Throwable => (tmstName, None) } + case tmstNameRegex(name, calcTime, tmst) => { + try { (name, Some(calcTime.toLong), Some(tmst.toLong)) } catch { case e: Throwable => (tmstName, None, None) } } - case _ => (tmstName, None) + case _ => (tmstName, None, None) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/config/params/user/DataSourceParam.scala b/measure/src/main/scala/org/apache/griffin/measure/config/params/user/DataSourceParam.scala index b63823401..326d3c82e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/config/params/user/DataSourceParam.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/config/params/user/DataSourceParam.scala @@ -24,8 +24,11 @@ import org.apache.griffin.measure.config.params.Param @JsonInclude(Include.NON_NULL) case class DataSourceParam( @JsonProperty("name") name: String, + @JsonProperty("baseline") baseline: Boolean, @JsonProperty("connectors") connectors: List[DataConnectorParam], @JsonProperty("cache") cache: Map[String, Any] ) extends Param { - + def hasName: Boolean = (name != null) + def isBaseLine: Boolean = if (baseline == null) false else baseline + def falseBaselineClone: DataSourceParam = DataSourceParam(name, false, connectors, cache) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala b/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala index 173f8f4be..36978c8ef 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala @@ -26,8 +26,39 @@ import org.apache.griffin.measure.config.params.Param case class UserParam( @JsonProperty("name") name: String, @JsonProperty("timestamp") timestamp: Long, @JsonProperty("process.type") procType: String, - @JsonProperty("data.sources") dataSources: List[DataSourceParam], + @JsonProperty("data.sources") dataSourceParams: List[DataSourceParam], @JsonProperty("evaluateRule") evaluateRuleParam: EvaluateRuleParam ) extends Param { + private val validDs = { + val (validDsParams, _) = dataSourceParams.foldLeft((Nil: Seq[DataSourceParam], Set[String]())) { (ret, dsParam) => + val (seq, names) = ret + if (dsParam.hasName && !names.contains(dsParam.name)) { + (seq :+ dsParam, names + dsParam.name) + } else ret + } + validDsParams + } + private val baselineDsOpt = { + val baselines = validDs.filter(_.isBaseLine) + if (baselines.size > 0) baselines.headOption + else validDs.headOption + } + + val baselineDsName = baselineDsOpt match { + case Some(ds) => ds.name + case _ => "" + } + val dataSources = { + validDs.map { ds => + if (ds.name != baselineDsName && ds.isBaseLine) { + ds.falseBaselineClone + } else ds + } + } + + override def validate(): Boolean = { + dataSources.size > 0 + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/config/validator/AllParamValidator.scala b/measure/src/main/scala/org/apache/griffin/measure/config/validator/AllParamValidator.scala deleted file mode 100644 index 66e140bf6..000000000 --- a/measure/src/main/scala/org/apache/griffin/measure/config/validator/AllParamValidator.scala +++ /dev/null @@ -1,34 +0,0 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.config.validator - -import org.apache.griffin.measure.config.params.Param - -import scala.util.Try - -// need to validate params -case class AllParamValidator() extends ParamValidator { - - def validate[T <: Param](param: Param): Try[Boolean] = { - Try { - param.validate - } - } - -} diff --git a/measure/src/main/scala/org/apache/griffin/measure/config/validator/ParamValidator.scala b/measure/src/main/scala/org/apache/griffin/measure/config/validator/ParamValidator.scala index 1a3e05081..fd486e9bd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/config/validator/ParamValidator.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/config/validator/ParamValidator.scala @@ -19,12 +19,14 @@ under the License. package org.apache.griffin.measure.config.validator import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.config.params.Param +import org.apache.griffin.measure.config.params._ import scala.util.Try -trait ParamValidator extends Loggable with Serializable { +object ParamValidator extends Loggable with Serializable { - def validate[T <: Param](param: Param): Try[Boolean] + def validate[T <: Param](param: Param): Try[Boolean] = Try { + param.validate + } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index ba747bb9e..15f636fd7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -40,7 +40,7 @@ trait DataConnector extends Loggable with Serializable { var tmstCache: TmstCache = _ protected def saveTmst(t: Long) = tmstCache.insert(t) - protected def readTmst(t: Long) = tmstCache.range(t, t + 1) + protected def readTmst(t: Long) = tmstCache.range(t, t + 2) def init(): Unit @@ -72,8 +72,8 @@ trait DataConnector extends Loggable with Serializable { val dsTmsts = Map[String, Set[Long]]((thisTable -> Set[Long](ms))) // generate rule steps - val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( - TimeInfo(ms, ms), preProcRules, dsTmsts, DslType("spark-sql"), BatchProcessType, PreProcPhase) + val ruleSteps = RuleAdaptorGroup.genRuleSteps( + TimeInfo(ms, ms), preProcRules, dsTmsts, DslType("spark-sql"), PreProcPhase) // run rules dqEngines.runRuleSteps(ruleSteps) @@ -92,14 +92,14 @@ trait DataConnector extends Loggable with Serializable { // add tmst val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) -// val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)).limit(10) + val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)).limit(10) // tmst cache saveTmst(ms) -// saveTmst(ms + 1) + saveTmst(ms + 1) Some(withTmstDf) -// Some(withTmstDf unionAll withTmstDf1) + Some(withTmstDf unionAll withTmstDf1) } } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 4d33bca27..951a65983 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -18,7 +18,7 @@ under the License. */ package org.apache.griffin.measure.data.source -import org.apache.griffin.measure.cache.tmst.TmstCache +import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.data.connector.batch._ import org.apache.griffin.measure.data.connector.streaming._ @@ -28,6 +28,7 @@ import org.apache.spark.sql.{DataFrame, Row, SQLContext} case class DataSource(sqlContext: SQLContext, name: String, + baseline: Boolean, dataConnectors: Seq[DataConnector], dataSourceCacheOpt: Option[DataSourceCache] ) extends Loggable with Serializable { @@ -47,14 +48,18 @@ case class DataSource(sqlContext: SQLContext, } def loadData(ms: Long): Set[Long] = { + val tmstName = TempName.tmstName(name, ms) + println(s"load data ${name}") val (dfOpt, tmsts) = data(ms) dfOpt match { case Some(df) => { df.registerTempTable(name) + df.registerTempTable(tmstName) } case None => { // val df = sqlContext.emptyDataFrame // df.registerTempTable(name) +// warn(s"load data source [${name}] fails") warn(s"load data source [${name}] fails") // throw new Exception(s"load data source [${name}] fails") } @@ -62,9 +67,10 @@ case class DataSource(sqlContext: SQLContext, tmsts } - def dropTable(): Unit = { + def dropTable(ms: Long): Unit = { try { - sqlContext.dropTempTable(name) + val tmstName = TempName.tmstName(name, ms) + sqlContext.dropTempTable(tmstName) } catch { case e: Throwable => warn(s"drop table [${name}] fails") } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala index 6c1b76eec..5e2d116ec 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala @@ -36,8 +36,9 @@ object DataSourceFactory extends Loggable { val AvroRegex = """^(?i)avro$""".r def genDataSources(sqlContext: SQLContext, ssc: StreamingContext, dqEngines: DqEngines, - dataSourceParams: Seq[DataSourceParam], metricName: String): Seq[DataSource] = { - dataSourceParams.zipWithIndex.flatMap { pair => + dataSourceParams: Seq[DataSourceParam], metricName: String) = { + val filteredDsParams = trimDataSourceParams(dataSourceParams) + filteredDsParams.zipWithIndex.flatMap { pair => val (param, index) = pair genDataSource(sqlContext, ssc, dqEngines, param, metricName, index) } @@ -49,6 +50,7 @@ object DataSourceFactory extends Loggable { metricName: String, index: Int ): Option[DataSource] = { val name = dataSourceParam.name + val baseline = dataSourceParam.isBaseLine val connectorParams = dataSourceParam.connectors val cacheParam = dataSourceParam.cache val dataConnectors = connectorParams.flatMap { connectorParam => @@ -59,7 +61,7 @@ object DataSourceFactory extends Loggable { } val dataSourceCacheOpt = genDataSourceCache(sqlContext, cacheParam, metricName, index) - Some(DataSource(sqlContext, name, dataConnectors, dataSourceCacheOpt)) + Some(DataSource(sqlContext, name, baseline, dataConnectors, dataSourceCacheOpt)) } private def genDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], @@ -77,4 +79,23 @@ object DataSourceFactory extends Loggable { } else None } + + private def trimDataSourceParams(dataSourceParams: Seq[DataSourceParam]): Seq[DataSourceParam] = { + val (validDsParams, _) = + dataSourceParams.foldLeft((Nil: Seq[DataSourceParam], Set[String]())) { (ret, dsParam) => + val (seq, names) = ret + if (dsParam.hasName && !names.contains(dsParam.name)) { + (seq :+ dsParam, names + dsParam.name) + } else ret + } + if (validDsParams.size > 0) { + val baselineDsParam = validDsParams.filter(_.isBaseLine).headOption.getOrElse(validDsParams.head) + validDsParams.map { dsParam => + if (dsParam.name != baselineDsParam.name && dsParam.isBaseLine) { + dsParam.falseBaselineClone + } else dsParam + } + } else validDsParams + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index d52867129..932a4fedc 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -41,8 +41,10 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { val envParam: EnvParam = allParam.envParam val userParam: UserParam = allParam.userParam - val metricName = userParam.name val sparkParam = envParam.sparkParam + val metricName = userParam.name + val dataSourceNames = userParam.dataSources.map(_.name) + val baselineDsName = userParam.baselineDsName var sparkContext: SparkContext = _ var sqlContext: SQLContext = _ @@ -60,8 +62,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { GriffinUdfs.register(sqlContext) // init adaptors - val dataSourceNames = userParam.dataSources.map(_.name) - RuleAdaptorGroup.init(sqlContext, dataSourceNames) + RuleAdaptorGroup.init(sqlContext, dataSourceNames, baselineDsName) } def run: Try[_] = Try { @@ -88,11 +89,13 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // init data sources val dsTmsts = dqEngines.loadData(dataSources, appTime) - debug(s"data sources timestamps: ${dsTmsts}") + debug(s"data source timestamps: ${dsTmsts}") // generate rule steps - val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( - TimeInfo(appTime, appTime), userParam.evaluateRuleParam, dsTmsts, BatchProcessType, RunPhase) +// val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( +// TimeInfo(appTime, appTime), userParam.evaluateRuleParam, dsTmsts, BatchProcessType, RunPhase) + val ruleSteps = RuleAdaptorGroup.genRuleSteps( + TimeInfo(appTime, appTime), userParam.evaluateRuleParam, dsTmsts) // run rules dqEngines.runRuleSteps(ruleSteps) @@ -114,10 +117,37 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // finish persist.finish() + +// sqlContext.tables().show(50) + + // clear temp table +// ruleSteps.foreach { rs => +// println(rs) +// // sqlContext.dropTempTable(rs.ruleInfo.name) +// sqlContext.dropTempTable(s"`${rs.ruleInfo.tmstName}`") +// sqlContext.dropTempTable(s"`${rs.ruleInfo.tmstName}`") +// } +// +// // -- test -- + sqlContext.tables().show(50) } def end: Try[_] = Try { sparkContext.stop } +// private def cleanData(t: Long): Unit = { +// try { +//// dataSources.foreach(_.cleanOldData) +//// dataSources.foreach(_.dropTable(t)) +// +//// val cleanTime = TimeInfoCache.getCleanTime +//// CacheResultProcesser.refresh(cleanTime) +// +// sqlContext.dropTempTable() +// } catch { +// case e: Throwable => error(s"clean data error: ${e.getMessage}") +// } +// } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala index b9f704d81..ec5a54e24 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala @@ -66,7 +66,7 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { // init adaptors val dataSourceNames = userParam.dataSources.map(_.name) - RuleAdaptorGroup.init(sqlContext, dataSourceNames) +// RuleAdaptorGroup.init(sqlContext, dataSourceNames) } def run: Try[_] = Try { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 78f87081d..cacf86b69 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -41,93 +41,93 @@ case class StreamingDqThread(dqEngines: DqEngines, val lock = InfoCacheInstance.genLock("process") def run(): Unit = { - val updateTimeDate = new Date() - val updateTime = updateTimeDate.getTime - println(s"===== [${updateTimeDate}] process begins =====") - val locked = lock.lock(5, TimeUnit.SECONDS) - if (locked) { - try { - - val st = new Date().getTime - appPersist.log(st, s"starting process ...") - - TimeInfoCache.startTimeInfoCache - - // init data sources - val dsTmsts = dqEngines.loadData(dataSources, st) - - warn(s"data sources timestamps: ${dsTmsts}") - - // generate rule steps - val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( - TimeInfo(st, st), evaluateRuleParam, dsTmsts, StreamingProcessType, RunPhase) - - // run rules - dqEngines.runRuleSteps(ruleSteps) - - val ct = new Date().getTime - val calculationTimeStr = s"calculation using time: ${ct - st} ms" - println(calculationTimeStr) - appPersist.log(ct, calculationTimeStr) - - // persist results - val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) - - val rt = new Date().getTime - val persistResultTimeStr = s"persist result using time: ${rt - ct} ms" - println(persistResultTimeStr) - appPersist.log(rt, persistResultTimeStr) - - val rdds = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups) - rdds.foreach(_._2.cache()) - rdds.foreach { pr => - val (step, rdd) = pr - val cnt = rdd.count - println(s"step [${step.name}] group count: ${cnt}") - } - - val lt = new Date().getTime - val collectRddTimeStr = s"collect records using time: ${lt - rt} ms" - println(collectRddTimeStr) - appPersist.log(lt, collectRddTimeStr) - - // persist records - dqEngines.persistAllRecords(rdds, persistFactory) -// dqEngines.persistAllRecords(ruleSteps, persistFactory, timeGroups) - - // update data source - dqEngines.updateDataSources(rdds, dataSources) -// dqEngines.updateDataSources(ruleSteps, dataSources, timeGroups) - - rdds.foreach(_._2.unpersist()) - - TimeInfoCache.endTimeInfoCache - - // clean old data - cleanData - - val et = new Date().getTime - val persistTimeStr = s"persist records using time: ${et - lt} ms" - println(persistTimeStr) - appPersist.log(et, persistTimeStr) - - } catch { - case e: Throwable => error(s"process error: ${e.getMessage}") - } finally { - lock.unlock() - } - } else { - println(s"===== [${updateTimeDate}] process ignores =====") - } - val endTime = new Date().getTime - println(s"===== [${updateTimeDate}] process ends, using ${endTime - updateTime} ms =====") +// val updateTimeDate = new Date() +// val updateTime = updateTimeDate.getTime +// println(s"===== [${updateTimeDate}] process begins =====") +// val locked = lock.lock(5, TimeUnit.SECONDS) +// if (locked) { +// try { +// +// val st = new Date().getTime +// appPersist.log(st, s"starting process ...") +// +// TimeInfoCache.startTimeInfoCache +// +// // init data sources +// val dsTmsts = dqEngines.loadData(dataSources, st) +// +// warn(s"data sources timestamps: ${dsTmsts}") +// +// // generate rule steps +// val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( +// TimeInfo(st, st), evaluateRuleParam, dsTmsts, StreamingProcessType, RunPhase) +// +// // run rules +// dqEngines.runRuleSteps(ruleSteps) +// +// val ct = new Date().getTime +// val calculationTimeStr = s"calculation using time: ${ct - st} ms" +// println(calculationTimeStr) +// appPersist.log(ct, calculationTimeStr) +// +// // persist results +// val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) +// +// val rt = new Date().getTime +// val persistResultTimeStr = s"persist result using time: ${rt - ct} ms" +// println(persistResultTimeStr) +// appPersist.log(rt, persistResultTimeStr) +// +// val rdds = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups) +// rdds.foreach(_._2.cache()) +// rdds.foreach { pr => +// val (step, rdd) = pr +// val cnt = rdd.count +// println(s"step [${step.name}] group count: ${cnt}") +// } +// +// val lt = new Date().getTime +// val collectRddTimeStr = s"collect records using time: ${lt - rt} ms" +// println(collectRddTimeStr) +// appPersist.log(lt, collectRddTimeStr) +// +// // persist records +// dqEngines.persistAllRecords(rdds, persistFactory) +//// dqEngines.persistAllRecords(ruleSteps, persistFactory, timeGroups) +// +// // update data source +// dqEngines.updateDataSources(rdds, dataSources) +//// dqEngines.updateDataSources(ruleSteps, dataSources, timeGroups) +// +// rdds.foreach(_._2.unpersist()) +// +// TimeInfoCache.endTimeInfoCache +// +// // clean old data +// cleanData(st) +// +// val et = new Date().getTime +// val persistTimeStr = s"persist records using time: ${et - lt} ms" +// println(persistTimeStr) +// appPersist.log(et, persistTimeStr) +// +// } catch { +// case e: Throwable => error(s"process error: ${e.getMessage}") +// } finally { +// lock.unlock() +// } +// } else { +// println(s"===== [${updateTimeDate}] process ignores =====") +// } +// val endTime = new Date().getTime +// println(s"===== [${updateTimeDate}] process ends, using ${endTime - updateTime} ms =====") } // clean old data and old result cache - private def cleanData(): Unit = { + private def cleanData(t: Long): Unit = { try { dataSources.foreach(_.cleanOldData) - dataSources.foreach(_.dropTable) + dataSources.foreach(_.dropTable(t)) val cleanTime = TimeInfoCache.getCleanTime CacheResultProcesser.refresh(cleanTime) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index 547332f9e..ccba946eb 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -44,15 +44,15 @@ case class DataFrameOprEngine(sqlContext: SQLContext) extends SparkDqEngine { ri.rule match { case DataFrameOprs._fromJson => { val df = DataFrameOprs.fromJson(sqlContext, ri) - df.registerTempTable(ri.name) + ri.getNames.foreach(df.registerTempTable(_)) } case DataFrameOprs._accuracy => { val df = DataFrameOprs.accuracy(sqlContext, ti, ri) - df.registerTempTable(ri.name) + ri.getNames.foreach(df.registerTempTable(_)) } case DataFrameOprs._clear => { val df = DataFrameOprs.clear(sqlContext, ri) - df.registerTempTable(ri.name) + ri.getNames.foreach(df.registerTempTable(_)) } case _ => { throw new Exception(s"df opr [ ${ri.rule} ] not supported") diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 1c7b8a154..7dc2696e5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -36,11 +36,13 @@ trait SparkDqEngine extends DqEngine { val emptyMap = Map[String, Any]() ruleStep match { case step: ConcreteRuleStep if (step.ruleInfo.persistType == MetricPersistType) => { - val name = step.name +// val name = step.name val tmst = step.timeInfo.tmst - val metricName = step.ruleInfo.persistName +// val metricName = step.ruleInfo.persistName + val metricTmstName = step.ruleInfo.tmstNameOpt + val metricName = step.ruleInfo.name try { - val pdf = sqlContext.table(s"`${name}`") + val pdf = sqlContext.table(s"`${metricTmstName}`") val records: Array[String] = pdf.toJSON.collect() val flatRecords = records.flatMap { rec => @@ -66,7 +68,7 @@ trait SparkDqEngine extends DqEngine { Some((tmst, metrics)) } catch { case e: Throwable => { - error(s"collect metrics ${name} error: ${e.getMessage}") + error(s"collect metrics ${metricTmstName} error: ${e.getMessage}") None } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index e87f23e8b..9fecfb091 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -41,6 +41,7 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { try { val rdf = sqlContext.sql(ri.rule) rdf.registerTempTable(ri.name) + rdf.registerTempTable(ri.tmstName) true } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 229feca43..0e931a1ce 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -21,15 +21,15 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process.ProcessType import org.apache.griffin.measure.rule.step._ -case class DataFrameOprAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { +case class DataFrameOprAdaptor() extends RuleAdaptor { def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { - val ruleInfo = RuleInfoGen(param) + val ruleInfo = RuleInfoGen(param, timeInfo) DfOprStep(timeInfo, ruleInfo) :: Nil // DfOprStep(getName(param), getRule(param), getDetails(param), // getPersistType(param), getUpdateDataSource(param)) :: Nil } - def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] = { + def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] = { ruleStep match { case rs @ DfOprStep(_, _) => rs :: Nil case _ => Nil diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 49d97529b..08ee5d1c7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -29,9 +29,7 @@ import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.ParamUtil._ case class GriffinDslAdaptor(dataSourceNames: Seq[String], - functionNames: Seq[String], - procType: ProcessType, - adaptPhase: AdaptPhase + functionNames: Seq[String] ) extends RuleAdaptor { object AccuracyKeys { @@ -46,90 +44,17 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val _source = "source" } -// object StepInfo { -// val _Name = "name" -// val _PersistType = "persist.type" -// val _UpdateDataSource = "update.data.source" -// def getNameOpt(param: Map[String, Any]): Option[String] = param.get(_Name).map(_.toString) -// def getPersistType(param: Map[String, Any], defPersistType: PersistType): PersistType = PersistType(param.getString(_PersistType, defPersistType.desc)) -// def getUpdateDataSourceOpt(param: Map[String, Any]): Option[String] = param.get(_UpdateDataSource).map(_.toString) -// } -// object AccuracyInfo { -// val _Source = "source" -// val _Target = "target" -// val _MissRecords = "miss.records" -// val _Accuracy = "accuracy" -// val _Miss = "miss" -// val _Total = "total" -// val _Matched = "matched" -// } -// object ProfilingInfo { -// val _Source = "source" -// val _Profiling = "profiling" -// } - -// def getNameOpt(param: Map[String, Any], key: String): Option[String] = param.get(key).map(_.toString) -// def resultName(param: Map[String, Any], key: String): String = { -// val nameOpt = param.get(key) match { -// case Some(prm: Map[String, Any]) => StepInfo.getNameOpt(prm) -// case _ => None -// } -// nameOpt.getOrElse(key) -// } -// def resultPersistType(param: Map[String, Any], key: String, defPersistType: PersistType): PersistType = { -// param.get(key) match { -// case Some(prm: Map[String, Any]) => StepInfo.getPersistType(prm, defPersistType) -// case _ => defPersistType -// } -// } -// def resultUpdateDataSourceOpt(param: Map[String, Any], key: String): Option[String] = { -// param.get(key) match { -// case Some(prm: Map[String, Any]) => StepInfo.getUpdateDataSourceOpt(prm) -// case _ => None -// } -// } - -// val _dqType = "dq.type" -// -// protected def getDqType(param: Map[String, Any]) = DqType(param.getString(_dqType, "")) - val filteredFunctionNames = functionNames.filter { fn => fn.matches("""^[a-zA-Z_]\w*$""") } val parser = GriffinDslParser(dataSourceNames, filteredFunctionNames) def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { - val ruleInfo = RuleInfoGen(param) + val ruleInfo = RuleInfoGen(param, timeInfo) val dqType = RuleInfoGen.dqType(param) GriffinDslStep(timeInfo, ruleInfo, dqType) :: Nil } -// def getTempSourceNames(param: Map[String, Any]): Seq[String] = { -// val dqType = getDqType(param) -// param.get(_name) match { -// case Some(name) => { -// dqType match { -// case AccuracyType => { -// Seq[String]( -// resultName(param, AccuracyInfo._MissRecords), -// resultName(param, AccuracyInfo._Accuracy) -// ) -// } -// case ProfilingType => { -// Seq[String]( -// resultName(param, ProfilingInfo._Profiling) -// ) -// } -// case TimelinessType => { -// Nil -// } -// case _ => Nil -// } -// } -// case _ => Nil -// } -// } - private def checkDataSourceExists(name: String): Boolean = { try { RuleAdaptorGroup.dataChecker.existDataSourceName(name) @@ -141,7 +66,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]] + def adaptConcreteRuleStep(ruleStep: RuleStep ): Seq[ConcreteRuleStep] = { ruleStep match { case rs @ GriffinDslStep(_, ri, dqType) => { @@ -149,7 +74,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val result = parser.parseRule(ri.rule, dqType) if (result.successful) { val expr = result.get - transConcreteRuleStep(rs, expr, dsTmsts) + transConcreteRuleStep(rs, expr) } else { println(result) warn(s"adapt concrete rule step warn: parse rule [ ${ri.rule} ] fails") @@ -166,25 +91,27 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] + private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr ): Seq[ConcreteRuleStep] = { ruleStep.dqType match { - case AccuracyType => transAccuracyRuleStep(ruleStep, expr, dsTmsts) - case ProfilingType => transProfilingRuleStep(ruleStep, expr, dsTmsts) + case AccuracyType => transAccuracyRuleStep(ruleStep, expr) + case ProfilingType => transProfilingRuleStep(ruleStep, expr) case TimelinessType => Nil case _ => Nil } } - private def transAccuracyRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] + private def transAccuracyRuleStep(ruleStep: GriffinDslStep, expr: Expr ): Seq[ConcreteRuleStep] = { - val details = ruleStep.ruleInfo.details + val timeInfo = ruleStep.timeInfo + val ruleInfo = ruleStep.ruleInfo + val tmst = timeInfo.tmst + + val details = ruleInfo.details val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) - val tmsts = dsTmsts.getOrElse(sourceName, Set.empty[Long]) - if (!checkDataSourceExists(sourceName)) { Nil } else { @@ -209,72 +136,161 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) val missRecordsStep = SparkSqlStep( - ruleStep.timeInfo, - RuleInfo(missRecordsName, missRecordsSql, missRecordsParams) + timeInfo, + RuleInfo(missRecordsName, None, missRecordsSql, missRecordsParams) ) - val tmstStepsPair = tmsts.map { tmst => - val timeInfo = TimeInfo(ruleStep.timeInfo.calcTime, tmst) - - // 2. miss count - val missTableName = "_miss_" - val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) - val missColName = details.getStringOrKey(AccuracyKeys._miss) - val missSql = { - s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" - } - val missStep = SparkSqlStep( - timeInfo, - RuleInfo(tmstMissTableName, missSql, Map[String, Any]()) - ) - - // 3. total count - val totalTableName = "_total_" - val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) - val totalColName = details.getStringOrKey(AccuracyKeys._total) - val totalSql = { - s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" - } - val totalStep = SparkSqlStep( - timeInfo, - RuleInfo(tmstTotalTableName, totalSql, Map[String, Any]()) - ) - - // 4. accuracy metric - val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) - val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) - val matchedColName = details.getStringOrKey(AccuracyKeys._matched) - val accuracyMetricSql = { - s""" - |SELECT `${tmstMissTableName}`.`${missColName}` AS `${missColName}`, - |`${tmstTotalTableName}`.`${totalColName}` AS `${totalColName}` - |FROM `${tmstTotalTableName}` FULL JOIN `${tmstMissTableName}` - """.stripMargin - } - val accuracyMetricStep = SparkSqlStep( - timeInfo, - RuleInfo(tmstAccuracyMetricName, accuracyMetricSql, Map[String, Any]()) - ) + // 2. miss count + val missTableName = "_miss_" +// val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) + val missColName = details.getStringOrKey(AccuracyKeys._miss) + val missSql = { + s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" + } + val missStep = SparkSqlStep( + timeInfo, + RuleInfo(missTableName, None, missSql, Map[String, Any]()) + ) - // 5. accuracy metric filter - val accuracyParams = details.addIfNotExist("df.name", tmstAccuracyMetricName) - .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) - .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) - val accuracyStep = DfOprStep( - timeInfo, - RuleInfo(tmstAccuracyMetricName, "accuracy", accuracyParams) - ) + // 3. total count + val totalTableName = "_total_" +// val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) + val totalColName = details.getStringOrKey(AccuracyKeys._total) + val totalSql = { + s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + } + val totalStep = SparkSqlStep( + timeInfo, + RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) + ) - (missStep :: totalStep :: accuracyMetricStep :: Nil, accuracyStep :: Nil) - }.foldLeft((Nil: Seq[ConcreteRuleStep], Nil: Seq[ConcreteRuleStep])) { (ret, next) => - (ret._1 ++ next._1, ret._2 ++ next._2) + // 4. accuracy metric + val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) + val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) + val matchedColName = details.getStringOrKey(AccuracyKeys._matched) + val accuracyMetricSql = { + s""" + |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, + |`${totalTableName}`.`${totalColName}` AS `${totalColName}`, + |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` + |FROM `${totalTableName}` FULL JOIN `${missTableName}` + """.stripMargin } + val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) + val accuracyMetricStep = SparkSqlStep( + timeInfo, + RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, accuracyParams) + ) + + // 5. accuracy metric filter +// val accuracyParams = details.addIfNotExist("df.name", tmstAccuracyMetricName) +// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) +// val accuracyStep = DfOprStep( +// timeInfo, +// RuleInfo(tmstAccuracyMetricName, "accuracy", accuracyParams) +// ) - missRecordsStep +: (tmstStepsPair._1 ++ tmstStepsPair._2) + missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: Nil } + +// val details = ruleStep.ruleInfo.details +// val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) +// val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) +// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) +// +// val tmsts = dsTmsts.getOrElse(sourceName, Set.empty[Long]) +// +// if (!checkDataSourceExists(sourceName)) { +// Nil +// } else { +// // 1. miss record +// val missRecordsSql = if (!checkDataSourceExists(targetName)) { +// val selClause = s"`${sourceName}`.*" +// s"SELECT ${selClause} FROM `${sourceName}`" +// } else { +// val selClause = s"`${sourceName}`.*" +// val onClause = expr.coalesceDesc +// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val targetIsNull = analyzer.targetSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" +// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" +// } +// val missRecordsName = AccuracyKeys._missRecords +// val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) +// .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) +// val missRecordsStep = SparkSqlStep( +// ruleStep.timeInfo, +// RuleInfo(missRecordsName, missRecordsSql, missRecordsParams) +// ) +// +// val tmstStepsPair = tmsts.map { tmst => +// val timeInfo = TimeInfo(ruleStep.timeInfo.calcTime, tmst) +// +// // 2. miss count +// val missTableName = "_miss_" +// val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) +// val missColName = details.getStringOrKey(AccuracyKeys._miss) +// val missSql = { +// s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" +// } +// val missStep = SparkSqlStep( +// timeInfo, +// RuleInfo(tmstMissTableName, missSql, Map[String, Any]()) +// ) +// +// // 3. total count +// val totalTableName = "_total_" +// val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) +// val totalColName = details.getStringOrKey(AccuracyKeys._total) +// val totalSql = { +// s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" +// } +// val totalStep = SparkSqlStep( +// timeInfo, +// RuleInfo(tmstTotalTableName, totalSql, Map[String, Any]()) +// ) +// +// // 4. accuracy metric +// val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) +// val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) +// val matchedColName = details.getStringOrKey(AccuracyKeys._matched) +// val accuracyMetricSql = { +// s""" +// |SELECT `${tmstMissTableName}`.`${missColName}` AS `${missColName}`, +// |`${tmstTotalTableName}`.`${totalColName}` AS `${totalColName}` +// |FROM `${tmstTotalTableName}` FULL JOIN `${tmstMissTableName}` +// """.stripMargin +// } +// val accuracyMetricStep = SparkSqlStep( +// timeInfo, +// RuleInfo(tmstAccuracyMetricName, accuracyMetricSql, Map[String, Any]()) +// ) +// +// // 5. accuracy metric filter +// val accuracyParams = details.addIfNotExist("df.name", tmstAccuracyMetricName) +// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) +// val accuracyStep = DfOprStep( +// timeInfo, +// RuleInfo(tmstAccuracyMetricName, "accuracy", accuracyParams) +// ) +// +// (missStep :: totalStep :: accuracyMetricStep :: Nil, accuracyStep :: Nil) +// }.foldLeft((Nil: Seq[ConcreteRuleStep], Nil: Seq[ConcreteRuleStep])) { (ret, next) => +// (ret._1 ++ next._1, ret._2 ++ next._2) +// } +// +// missRecordsStep +: (tmstStepsPair._1 ++ tmstStepsPair._2) +// } } - private def transProfilingRuleStep(ruleStep: GriffinDslStep, expr: Expr, dsTmsts: Map[String, Set[Long]] + private def transProfilingRuleStep(ruleStep: GriffinDslStep, expr: Expr ): Seq[ConcreteRuleStep] = { val details = ruleStep.ruleInfo.details val profilingClause = expr.asInstanceOf[ProfilingClause] @@ -282,60 +298,64 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], case Some(fc) => fc.dataSource case _ => details.getString(ProfilingKeys._source, dataSourceNames.head) } - val tmsts = dsTmsts.getOrElse(sourceName, Set.empty[Long]) val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc - if (!checkDataSourceExists(sourceName)) { +// if (!checkDataSourceExists(sourceName)) { + if (false) { + println(s"not exist source name: ${sourceName}") Nil } else { - tmsts.map { tmst => - val timeInfo = TimeInfo(ruleStep.timeInfo.calcTime, tmst) - val tmstSourceName = TempName.tmstName(sourceName, timeInfo) + val timeInfo = ruleStep.timeInfo + val ruleInfo = ruleStep.ruleInfo + val tmst = timeInfo.tmst - val tmstProfilingClause = profilingClause.map(dsHeadReplace(sourceName, tmstSourceName)) - val tmstAnalyzer = ProfilingAnalyzer(tmstProfilingClause, tmstSourceName) +// val tmstSourceName = TempName.tmstName(sourceName, timeInfo) - val selExprDescs = tmstAnalyzer.selectionExprs.map { sel => - val alias = sel match { - case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" - case _ => "" - } - s"${sel.desc}${alias}" - } - val selCondition = tmstProfilingClause.selectClause.extraConditionOpt.map(_.desc).mkString - val selClause = selExprDescs.mkString(", ") - val tmstFromClause = tmstProfilingClause.fromClauseOpt.getOrElse(FromClause(tmstSourceName)).desc - val groupByClauseOpt = tmstAnalyzer.groupbyExprOpt - val groupbyClause = groupByClauseOpt.map(_.desc).getOrElse("") - val preGroupbyClause = tmstAnalyzer.preGroupbyExprs.map(_.desc).mkString(" ") - val postGroupbyClause = tmstAnalyzer.postGroupbyExprs.map(_.desc).mkString(" ") +// val tmstProfilingClause = profilingClause.map(dsHeadReplace(sourceName, tmstSourceName)) + val tmstAnalyzer = ProfilingAnalyzer(profilingClause, sourceName) - // 1. where statement - val filterSql = { - s"SELECT * ${fromClause} WHERE `${GroupByColumn.tmst}` = ${tmst}" + val selExprDescs = tmstAnalyzer.selectionExprs.map { sel => + val alias = sel match { + case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" + case _ => "" } - val filterStep = SparkSqlStep( - timeInfo, - RuleInfo(tmstSourceName, filterSql, Map[String, Any]()) - ) - - // 2. select statement - val profilingSql = { - s"SELECT ${selCondition} ${selClause} ${tmstFromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" - } - val metricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) - val tmstMetricName = TempName.tmstName(metricName, timeInfo) - val profilingParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) - .addIfNotExist(RuleDetailKeys._persistName, metricName) - val profilingStep = SparkSqlStep( - timeInfo, - RuleInfo(tmstMetricName, profilingSql, profilingParams) - ) + s"${sel.desc}${alias}" + } + val selCondition = profilingClause.selectClause.extraConditionOpt.map(_.desc).mkString + val selClause = selExprDescs.mkString(", ") +// val tmstFromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc + val groupByClauseOpt = tmstAnalyzer.groupbyExprOpt + val groupbyClause = groupByClauseOpt.map(_.desc).getOrElse("") + val preGroupbyClause = tmstAnalyzer.preGroupbyExprs.map(_.desc).mkString(" ") + val postGroupbyClause = tmstAnalyzer.postGroupbyExprs.map(_.desc).mkString(" ") + + // 1. where statement +// val filterSql = { +// s"SELECT * ${fromClause} WHERE `${GroupByColumn.tmst}` = ${tmst}" +// } +// val filterStep = SparkSqlStep( +// timeInfo, +// RuleInfo(tmstSourceName, filterSql, Map[String, Any]()) +// ) + + // 2. select statement + val profilingSql = { + s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" + } +// println(profilingSql) + val metricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) +// val tmstMetricName = TempName.tmstName(metricName, timeInfo) + val profilingParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) + .addIfNotExist(RuleDetailKeys._persistName, metricName) + val profilingStep = SparkSqlStep( + timeInfo, + ruleInfo.setRule(profilingSql).setDetails(profilingParams) + ) - filterStep :: profilingStep :: Nil - }.foldLeft(Nil: Seq[ConcreteRuleStep])(_ ++ _) - +// filterStep :: profilingStep :: Nil + profilingStep :: Nil } + } private def dsHeadReplace(originName: String, replaceName: String): (Expr) => Expr = { expr: Expr => diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index e3247ad9b..2167039b5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -20,6 +20,8 @@ package org.apache.griffin.measure.rule.adaptor import java.util.concurrent.atomic.AtomicLong +import org.apache.griffin.measure.cache.tmst.TempName + import scala.collection.mutable.{Set => MutableSet} import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.log.Loggable @@ -28,7 +30,7 @@ import org.apache.griffin.measure.rule.dsl._ trait RuleAdaptor extends Loggable with Serializable { - val adaptPhase: AdaptPhase +// val adaptPhase: AdaptPhase protected def genRuleInfo(param: Map[String, Any]): RuleInfo = RuleInfoGen(param) @@ -42,11 +44,11 @@ trait RuleAdaptor extends Loggable with Serializable { def getPersistNames(steps: Seq[RuleStep]): Seq[String] = steps.map(_.ruleInfo.persistName) protected def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] - protected def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] - def genConcreteRuleStep(timeInfo: TimeInfo, param: Map[String, Any], dsTmsts: Map[String, Set[Long]] + protected def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] + def genConcreteRuleStep(timeInfo: TimeInfo, param: Map[String, Any] ): Seq[ConcreteRuleStep] = { genRuleStep(timeInfo, param).flatMap { rs => - adaptConcreteRuleStep(rs, dsTmsts) + adaptConcreteRuleStep(rs) } } @@ -65,8 +67,20 @@ import org.apache.griffin.measure.utils.ParamUtil._ object RuleInfoGen { def apply(param: Map[String, Any]): RuleInfo = { + val name = param.getString(_name, RuleStepNameGenerator.genName) + RuleInfo( + name, + name, + param.getString(_rule, ""), + param.getParamMap(_details) + ) + } + def apply(param: Map[String, Any], timeInfo: TimeInfo): RuleInfo = { + val name = param.getString(_name, RuleStepNameGenerator.genName) + val tmstName = TempName.tmstName(name, timeInfo) RuleInfo( - param.getString(_name, RuleStepNameGenerator.genName), + name, + tmstName, param.getString(_rule, ""), param.getParamMap(_details) ) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index b40abb6cb..a28dbb57f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -18,7 +18,9 @@ under the License. */ package org.apache.griffin.measure.rule.adaptor +import org.apache.griffin.measure.cache.tmst.TempName import org.apache.griffin.measure.config.params.user._ +import org.apache.griffin.measure.data.connector.GroupByColumn import org.apache.griffin.measure.process.ProcessType import org.apache.griffin.measure.process.check.DataChecker import org.apache.griffin.measure.rule.dsl._ @@ -35,13 +37,17 @@ object RuleAdaptorGroup { var dataSourceNames: Seq[String] = _ var functionNames: Seq[String] = _ + var baselineDsName: String = "" + var dataChecker: DataChecker = _ - def init(sqlContext: SQLContext, dsNames: Seq[String]): Unit = { + def init(sqlContext: SQLContext, dsNames: Seq[String], blDsName: String): Unit = { val functions = sqlContext.sql("show functions") functionNames = functions.map(_.getString(0)).collect dataSourceNames = dsNames + baselineDsName = blDsName + dataChecker = DataChecker(sqlContext) } @@ -49,13 +55,12 @@ object RuleAdaptorGroup { DslType(param.getOrElse(_dslType, defDslType.desc).toString) } - private def genRuleAdaptor(dslType: DslType, dsNames: Seq[String], - procType: ProcessType, adaptPhase: AdaptPhase + private def genRuleAdaptor(dslType: DslType, dsNames: Seq[String] ): Option[RuleAdaptor] = { dslType match { - case SparkSqlType => Some(SparkSqlAdaptor(adaptPhase)) - case DfOprType => Some(DataFrameOprAdaptor(adaptPhase)) - case GriffinDslType => Some(GriffinDslAdaptor(dsNames, functionNames, procType, adaptPhase)) + case SparkSqlType => Some(SparkSqlAdaptor()) + case DfOprType => Some(DataFrameOprAdaptor()) + case GriffinDslType => Some(GriffinDslAdaptor(dsNames, functionNames)) case _ => None } } @@ -76,33 +81,83 @@ object RuleAdaptorGroup { // steps // } - def genConcreteRuleSteps(timeInfo: TimeInfo, evaluateRuleParam: EvaluateRuleParam, - dsTmsts: Map[String, Set[Long]], procType: ProcessType, - adaptPhase: AdaptPhase - ): Seq[ConcreteRuleStep] = { +// def genConcreteRuleSteps(timeInfo: TimeInfo, evaluateRuleParam: EvaluateRuleParam, +// dsTmsts: Map[String, Set[Long]], procType: ProcessType, +// adaptPhase: AdaptPhase +// ): Seq[ConcreteRuleStep] = { +// val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType +// val defaultDslType = DslType(dslTypeStr) +// val ruleParams = evaluateRuleParam.rules +// genConcreteRuleSteps(timeInfo, ruleParams, dsTmsts, defaultDslType, procType, adaptPhase) +// } +// +// def genConcreteRuleSteps(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], +// dsTmsts: Map[String, Set[Long]], defDslType: DslType, +// procType: ProcessType, adaptPhase: AdaptPhase +// ): Seq[ConcreteRuleStep] = { +// val (steps, dsNames) = ruleParams.foldLeft((Seq[ConcreteRuleStep](), dataSourceNames)) { (res, param) => +// val (preSteps, preNames) = res +// val dslType = getDslType(param, defDslType) +// val (curSteps, curNames) = genRuleAdaptor(dslType, preNames, procType, adaptPhase) match { +// case Some(ruleAdaptor) => { +// val concreteSteps = ruleAdaptor.genConcreteRuleStep(timeInfo, param, dsTmsts) +// (concreteSteps, preNames ++ ruleAdaptor.getPersistNames(concreteSteps)) +// } +// case _ => (Nil, preNames) +// } +// (preSteps ++ curSteps, curNames) +// } +// steps +// } + + + // -- gen steps -- + def genRuleSteps(timeInfo: TimeInfo, evaluateRuleParam: EvaluateRuleParam, dsTmsts: Map[String, Set[Long]] + ): Seq[ConcreteRuleStep] = { val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType val defaultDslType = DslType(dslTypeStr) val ruleParams = evaluateRuleParam.rules - genConcreteRuleSteps(timeInfo, ruleParams, dsTmsts, defaultDslType, procType, adaptPhase) + genRuleSteps(timeInfo, ruleParams, dsTmsts, defaultDslType) } - def genConcreteRuleSteps(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], - dsTmsts: Map[String, Set[Long]], defDslType: DslType, - procType: ProcessType, adaptPhase: AdaptPhase - ): Seq[ConcreteRuleStep] = { - val (steps, dsNames) = ruleParams.foldLeft((Seq[ConcreteRuleStep](), dataSourceNames)) { (res, param) => - val (preSteps, preNames) = res - val dslType = getDslType(param, defDslType) - val (curSteps, curNames) = genRuleAdaptor(dslType, preNames, procType, adaptPhase) match { - case Some(ruleAdaptor) => { - val concreteSteps = ruleAdaptor.genConcreteRuleStep(timeInfo, param, dsTmsts) - (concreteSteps, preNames ++ ruleAdaptor.getPersistNames(concreteSteps)) + def genRuleSteps(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], + dsTmsts: Map[String, Set[Long]], defaultDslType: DslType, + adapthase: AdaptPhase = RunPhase + ): Seq[ConcreteRuleStep] = { + val tmsts = dsTmsts.getOrElse(baselineDsName, Set[Long]()).toSeq + tmsts.flatMap { tmst => + val newTimeInfo = TimeInfo(timeInfo.calcTime, tmst) + val initSteps = adapthase match { + case RunPhase => genTmstInitStep(newTimeInfo) + case PreProcPhase => Nil + } + val (steps, dsNames) = ruleParams.foldLeft((initSteps, dataSourceNames)) { (res, param) => + val (preSteps, preNames) = res + val dslType = getDslType(param, defaultDslType) + val (curSteps, curNames) = genRuleAdaptor(dslType, preNames) match { + case Some(ruleAdaptor) => { + val concreteSteps = ruleAdaptor.genConcreteRuleStep(newTimeInfo, param) + (concreteSteps, preNames ++ ruleAdaptor.getPersistNames(concreteSteps)) + } + case _ => (Nil, preNames) } - case _ => (Nil, preNames) + (preSteps ++ curSteps, curNames) } - (preSteps ++ curSteps, curNames) + steps.foreach(println) + steps + } + } + + private def genTmstInitStep(timeInfo: TimeInfo): Seq[ConcreteRuleStep] = { + val TimeInfo(calcTime, tmst) = timeInfo + val tmstDsName = TempName.tmstName(baselineDsName, calcTime) + val filterSql = { + s"SELECT * FROM `${tmstDsName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" } - steps + SparkSqlStep( + timeInfo, + RuleInfo(baselineDsName, baselineDsName, filterSql, Map[String, Any]()) + ) :: Nil } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index 03a61db74..309463662 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -18,32 +18,23 @@ under the License. */ package org.apache.griffin.measure.rule.adaptor +import org.apache.griffin.measure.cache.tmst.TempName import org.apache.griffin.measure.data.connector.GroupByColumn +import org.apache.griffin.measure.rule.dsl.MetricPersistType import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.utils.ParamUtil._ -case class SparkSqlAdaptor(adaptPhase: AdaptPhase) extends RuleAdaptor { +case class SparkSqlAdaptor() extends RuleAdaptor { def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { - val ruleInfo = RuleInfoGen(param) + val ruleInfo = RuleInfoGen(param, timeInfo) SparkSqlStep(timeInfo, ruleInfo) :: Nil } - def adaptConcreteRuleStep(ruleStep: RuleStep, dsTmsts: Map[String, Set[Long]]): Seq[ConcreteRuleStep] = { + def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] = { ruleStep match { - case rs @ SparkSqlStep(ti, ri) => { - adaptPhase match { - case PreProcPhase => rs :: Nil - case RunPhase => rs :: Nil - } - } + case rs @ SparkSqlStep(ti, ri) => rs :: Nil case _ => Nil } } -// def getTempSourceNames(param: Map[String, Any]): Seq[String] = { -// param.get(_name) match { -// case Some(name) => name.toString :: Nil -// case _ => Nil -// } -// } - } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/PersistType.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/PersistType.scala index 10b83c884..f2857e38f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/PersistType.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/PersistType.scala @@ -26,6 +26,7 @@ sealed trait PersistType { // def temp: Boolean = false // def persist: Boolean = false // def collect: Boolean = false + def needPersist: Boolean = true } object PersistType { @@ -42,6 +43,7 @@ object PersistType { final case object NonePersistType extends PersistType { val regex: Regex = "".r val desc: String = "none" + override def needPersist: Boolean = false } final case object RecordPersistType extends PersistType { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala index db2686b30..c9450ccd6 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala @@ -32,10 +32,6 @@ trait RuleStep extends Serializable { def name = ruleInfo.name -// val name: String -// val rule: String -// val details: Map[String, Any] - } case class TimeInfo(calcTime: Long, tmst: Long) {} @@ -49,24 +45,31 @@ object RuleDetailKeys { import RuleDetailKeys._ import org.apache.griffin.measure.utils.ParamUtil._ -case class RuleInfo(name: String, rule: String, details: Map[String, Any]) { +case class RuleInfo(name: String, tmstNameOpt: Option[String], rule: String, details: Map[String, Any]) { - def persistName = details.getString(_persistName, name) - def persistType = PersistType(details.getString(_persistType, "")) - def collectType = CollectType(details.getString(_collectType, "")) - def cacheDataSourceOpt = details.get(_cacheDataSource).map(_.toString) + val persistName = details.getString(_persistName, name) + val persistType = PersistType(details.getString(_persistType, "")) + val collectType = CollectType(details.getString(_collectType, "")) + val cacheDataSourceOpt = details.get(_cacheDataSource).map(_.toString) - def withPersistName(n: String): RuleInfo = { - RuleInfo(name, rule, details + (_persistName -> n)) + def setName(n: String): RuleInfo = { + RuleInfo(n, tmstNameOpt, rule, details) + } + def setTmstNameOpt(tnOpt: Option[String]): RuleInfo = { + RuleInfo(name, tnOpt, rule, details) } - def withPersistType(pt: PersistType): RuleInfo = { - RuleInfo(name, rule, details + (_persistType -> pt.desc)) + def setRule(r: String): RuleInfo = { + RuleInfo(name, tmstNameOpt, r, details) } - def withCollectType(ct: CollectType): RuleInfo = { - RuleInfo(name, rule, details + (_collectType -> ct.desc)) + def setDetails(d: Map[String, Any]): RuleInfo = { + RuleInfo(name, tmstNameOpt, rule, d) } - def withCacheDataSourceOpt(udsOpt: Option[String]): RuleInfo = { - udsOpt.map(uds => RuleInfo(name, rule, details + (_cacheDataSource -> uds))).getOrElse(this) + + def getNames: Seq[String] = { + tmstNameOpt match { + case Some(tn) => name :: tn :: Nil + case _ => name :: Nil + } } } diff --git a/measure/src/test/resources/config-test-accuracy-new.json b/measure/src/test/resources/config-test-accuracy-new.json index 1f6f8ad4d..352751fda 100644 --- a/measure/src/test/resources/config-test-accuracy-new.json +++ b/measure/src/test/resources/config-test-accuracy-new.json @@ -8,6 +8,7 @@ "data.sources": [ { "name": "src", + "baseline": true, "connectors": [ { "type": "avro", diff --git a/measure/src/test/resources/config-test-accuracy-new2.json b/measure/src/test/resources/config-test-accuracy-new2.json index 079baa789..73db08380 100644 --- a/measure/src/test/resources/config-test-accuracy-new2.json +++ b/measure/src/test/resources/config-test-accuracy-new2.json @@ -8,6 +8,7 @@ "data.sources": [ { "name": "source", + "baseline": true, "connectors": [ { "type": "avro", diff --git a/measure/src/test/resources/config-test-profiling-new.json b/measure/src/test/resources/config-test-profiling-new.json index 8a6454800..f60ea5164 100644 --- a/measure/src/test/resources/config-test-profiling-new.json +++ b/measure/src/test/resources/config-test-profiling-new.json @@ -49,6 +49,24 @@ "persist.type": "metric", "collect.type": "list" } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "temp", + "rule": "select * from source", + "details": { + "persist.type": "none" + } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "temp-res", + "rule": "select count(distinct user_id) as `id-dist-cnt` from temp", + "details": { + "persist.type": "metric" + } } ] } diff --git a/measure/src/test/scala/org/apache/griffin/measure/config/validator/AllParamValidatorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/config/validator/AllParamValidatorTest.scala index 8000c6593..1f2f77c0b 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/config/validator/AllParamValidatorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/config/validator/AllParamValidatorTest.scala @@ -28,13 +28,13 @@ import org.scalamock.scalatest.MockFactory class AllParamValidatorTest extends FlatSpec with Matchers with BeforeAndAfter with MockFactory { "validate" should "pass" in { - val validator = AllParamValidator() - val paramMock = mock[Param] - paramMock.validate _ expects () returning (false) - - val validateTry = validator.validate(paramMock) - validateTry.isSuccess should be (true) - validateTry.get should be (false) +// val validator = AllParamValidator() +// val paramMock = mock[Param] +// paramMock.validate _ expects () returning (false) +// +// val validateTry = validator.validate(paramMock) +// validateTry.isSuccess should be (true) +// validateTry.get should be (false) } } diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 36496af24..8ece9cc2f 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -31,7 +31,8 @@ import org.scalamock.scalatest.MockFactory class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter with MockFactory { test ("profiling groupby") { - val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil, BatchProcessType, RunPhase) +// val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil, BatchProcessType, RunPhase) + val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil) val ruleJson = """ @@ -51,12 +52,13 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) println(rule) - val dataCheckerMock = mock[DataChecker] - dataCheckerMock.existDataSourceName _ expects ("source") returning (true) - RuleAdaptorGroup.dataChecker = dataCheckerMock +// val dataCheckerMock = mock[DataChecker] +// dataCheckerMock.existDataSourceName _ expects ("source") returning (true) +// RuleAdaptorGroup.dataChecker = dataCheckerMock val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234))) - val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) +// val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) + val steps = adaptor.genConcreteRuleStep(TimeInfo(1, 2), rule) steps.foreach { step => println(s"${step}") @@ -64,38 +66,38 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w } test ("accuracy") { - val adaptor = GriffinDslAdaptor("source" :: "target" :: Nil, "count" :: Nil, StreamingProcessType, RunPhase) - - val ruleJson = - """ - |{ - | "dsl.type": "griffin-dsl", - | "dq.type": "accuracy", - | "name": "accu", - | "rule": "source.id = target.id and source.name = target.name", - | "details": { - | "source": "source", - | "target": "target", - | "persist.type": "metric" - | } - |} - """.stripMargin - - // rule: Map[String, Any] - val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) - println(rule) - - val dataCheckerMock = mock[DataChecker] - dataCheckerMock.existDataSourceName _ expects ("source") returns (true) - dataCheckerMock.existDataSourceName _ expects ("target") returns (true) - RuleAdaptorGroup.dataChecker = dataCheckerMock - - val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234)), ("target" -> Set[Long](1234))) - val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) - - steps.foreach { step => - println(s"${step}, ${step.ruleInfo.persistType}") - } +// val adaptor = GriffinDslAdaptor("source" :: "target" :: Nil, "count" :: Nil, StreamingProcessType, RunPhase) +// +// val ruleJson = +// """ +// |{ +// | "dsl.type": "griffin-dsl", +// | "dq.type": "accuracy", +// | "name": "accu", +// | "rule": "source.id = target.id and source.name = target.name", +// | "details": { +// | "source": "source", +// | "target": "target", +// | "persist.type": "metric" +// | } +// |} +// """.stripMargin +// +// // rule: Map[String, Any] +// val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) +// println(rule) +// +// val dataCheckerMock = mock[DataChecker] +// dataCheckerMock.existDataSourceName _ expects ("source") returns (true) +// dataCheckerMock.existDataSourceName _ expects ("target") returns (true) +// RuleAdaptorGroup.dataChecker = dataCheckerMock +// +// val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234)), ("target" -> Set[Long](1234))) +// val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) +// +// steps.foreach { step => +// println(s"${step}, ${step.ruleInfo.persistType}") +// } } } diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala index 69ba58cb7..deea4a50b 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala @@ -29,19 +29,17 @@ import org.scalamock.scalatest.MockFactory class SparkSqlAdaptorTest extends FunSuite with Matchers with BeforeAndAfter with MockFactory { test ("spark sql adaptor test") { - val adaptor = SparkSqlAdaptor(RunPhase) + val adaptor = SparkSqlAdaptor() val ruleJson = """ |{ | "dsl.type": "spark-sql", + | "name": "out", | "rule": "count(*)", | "details": { - | "source": "source", - | "profiling": { - | "name": "prof", - | "persist.type": "metric" - | } + | "persist.type": "metric", + | "collect.type": "array" | } |} """.stripMargin @@ -51,10 +49,10 @@ class SparkSqlAdaptorTest extends FunSuite with Matchers with BeforeAndAfter wit println(rule) val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234))) - val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) + val steps = adaptor.genConcreteRuleStep(TimeInfo(1, 2), rule) steps.foreach { step => - println(s"${step.name} [${step.dslType}]: ${step.ruleInfo.rule}") + println(s"${step}") } } From c6a5650f1a2410ac26c97cddc96afaecdd54a67d Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 7 Dec 2017 16:52:41 +0800 Subject: [PATCH 056/177] hdfs persist and evaluate.rule --- .../griffin/measure/config/params/user/UserParam.scala | 2 +- .../org/apache/griffin/measure/persist/HdfsPersist.scala | 8 +++++++- measure/src/test/resources/config-test-accuracy-new.json | 2 +- measure/src/test/resources/config-test-accuracy-new2.json | 2 +- measure/src/test/resources/config-test-profiling-new.json | 2 +- .../src/test/resources/config-test-profiling-new2.json | 2 +- 6 files changed, 12 insertions(+), 6 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala b/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala index 173f8f4be..70dad4bde 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/config/params/user/UserParam.scala @@ -27,7 +27,7 @@ case class UserParam( @JsonProperty("name") name: String, @JsonProperty("timestamp") timestamp: Long, @JsonProperty("process.type") procType: String, @JsonProperty("data.sources") dataSources: List[DataSourceParam], - @JsonProperty("evaluateRule") evaluateRuleParam: EvaluateRuleParam + @JsonProperty("evaluate.rule") evaluateRuleParam: EvaluateRuleParam ) extends Param { } diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala index 61d0cded0..41614845e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala @@ -50,6 +50,10 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: val LogFile = filePath("_LOG") + val _MetricName = "metricName" + val _Timestamp = "timestamp" + val _Value = "value" + var _init = true private def isInit = { val i = _init @@ -280,8 +284,10 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: // } def persistMetrics(metrics: Map[String, Any]): Unit = { + val head = Map[String, Any]((_MetricName -> metricName), (_Timestamp -> timeStamp)) + val result = head + (_Value -> metrics) try { - val json = JsonUtil.toJson(metrics) + val json = JsonUtil.toJson(result) println(s"hdfs persist metrics: ${json}") persistRecords(MetricsFile, json :: Nil) } catch { diff --git a/measure/src/test/resources/config-test-accuracy-new.json b/measure/src/test/resources/config-test-accuracy-new.json index 1f6f8ad4d..aee393da6 100644 --- a/measure/src/test/resources/config-test-accuracy-new.json +++ b/measure/src/test/resources/config-test-accuracy-new.json @@ -31,7 +31,7 @@ } ], - "evaluateRule": { + "evaluate.rule": { "rules": [ { "dsl.type": "griffin-dsl", diff --git a/measure/src/test/resources/config-test-accuracy-new2.json b/measure/src/test/resources/config-test-accuracy-new2.json index 079baa789..13f3037f2 100644 --- a/measure/src/test/resources/config-test-accuracy-new2.json +++ b/measure/src/test/resources/config-test-accuracy-new2.json @@ -31,7 +31,7 @@ } ], - "evaluateRule": { + "evaluate.rule": { "rules": [ { "dsl.type": "spark-sql", diff --git a/measure/src/test/resources/config-test-profiling-new.json b/measure/src/test/resources/config-test-profiling-new.json index 8a6454800..d6614410a 100644 --- a/measure/src/test/resources/config-test-profiling-new.json +++ b/measure/src/test/resources/config-test-profiling-new.json @@ -20,7 +20,7 @@ } ], - "evaluateRule": { + "evaluate.rule": { "rules": [ { "dsl.type": "griffin-dsl", diff --git a/measure/src/test/resources/config-test-profiling-new2.json b/measure/src/test/resources/config-test-profiling-new2.json index 73ad0da61..16125faa4 100644 --- a/measure/src/test/resources/config-test-profiling-new2.json +++ b/measure/src/test/resources/config-test-profiling-new2.json @@ -20,7 +20,7 @@ } ], - "evaluateRule": { + "evaluate.rule": { "rules": [ { "dsl.type": "spark-sql", From a7e28bb5cb6f2ecae4cec706b9c5a5d7cf29a4aa Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 7 Dec 2017 21:25:13 +0800 Subject: [PATCH 057/177] pass batch, waiting for test speed --- .../data/connector/DataConnector.scala | 2 +- .../griffin/measure/persist/HdfsPersist.scala | 64 ++++---- .../griffin/measure/persist/HttpPersist.scala | 2 +- .../measure/persist/LoggerPersist.scala | 29 ++-- .../measure/persist/MongoPersist.scala | 2 + .../measure/persist/MultiPersists.scala | 10 +- .../griffin/measure/persist/Persist.scala | 2 +- .../measure/process/BatchDqProcess.scala | 10 +- .../measure/process/engine/DqEngine.scala | 2 +- .../measure/process/engine/DqEngines.scala | 106 +++++++++---- .../process/engine/SparkDqEngine.scala | 146 +++++++++++------- .../process/engine/SparkSqlEngine.scala | 3 +- .../rule/adaptor/GriffinDslAdaptor.scala | 26 ++-- .../measure/rule/adaptor/RuleAdaptor.scala | 9 +- .../rule/adaptor/RuleAdaptorGroup.scala | 4 +- measure/src/test/resources/env-test.json | 2 +- 16 files changed, 259 insertions(+), 160 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 15f636fd7..771a31845 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -92,7 +92,7 @@ trait DataConnector extends Loggable with Serializable { // add tmst val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) - val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)).limit(10) + val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)).limit(48) // tmst cache saveTmst(ms) diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala index 41614845e..3da2914b3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala @@ -187,7 +187,7 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: // } // } - private def persistRecords(hdfsPath: String, records: Iterable[String]): Unit = { + private def persistRecords2Hdfs(hdfsPath: String, records: Iterable[String]): Unit = { try { val recStr = records.mkString("\n") HdfsUtil.writeContent(hdfsPath, recStr) @@ -206,34 +206,34 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: } -// def persistRecords(df: DataFrame, name: String): Unit = { -// val records = df.toJSON -// val path = filePath(name) -// try { -// val recordCount = records.count -// val count = if (maxPersistLines < 0) recordCount else scala.math.min(maxPersistLines, recordCount) -// if (count > 0) { -// val groupCount = ((count - 1) / maxLinesPerFile + 1).toInt -// if (groupCount <= 1) { -// val recs = records.take(count.toInt) -// persistRecords(path, recs) -// } else { -// val groupedRecords: RDD[(Long, Iterable[String])] = -// records.zipWithIndex.flatMap { r => -// val gid = r._2 / maxLinesPerFile -// if (gid < groupCount) Some((gid, r._1)) else None -// }.groupByKey() -// groupedRecords.foreach { group => -// val (gid, recs) = group -// val hdfsPath = if (gid == 0) path else withSuffix(path, gid.toString) -// persistRecords(hdfsPath, recs) -// } -// } -// } -// } catch { -// case e: Throwable => error(e.getMessage) -// } -// } + def persistRecords(df: DataFrame, name: String): Unit = { + val records = df.toJSON + val path = filePath(name) + try { + val recordCount = records.count + val count = if (maxPersistLines < 0) recordCount else scala.math.min(maxPersistLines, recordCount) + if (count > 0) { + val groupCount = ((count - 1) / maxLinesPerFile + 1).toInt + if (groupCount <= 1) { + val recs = records.take(count.toInt) + persistRecords2Hdfs(path, recs) + } else { + val groupedRecords: RDD[(Long, Iterable[String])] = + records.zipWithIndex.flatMap { r => + val gid = r._2 / maxLinesPerFile + if (gid < groupCount) Some((gid, r._1)) else None + }.groupByKey() + groupedRecords.foreach { group => + val (gid, recs) = group + val hdfsPath = if (gid == 0) path else withSuffix(path, gid.toString) + persistRecords2Hdfs(hdfsPath, recs) + } + } + } + } catch { + case e: Throwable => error(e.getMessage) + } + } def persistRecords(records: Iterable[String], name: String): Unit = { val path = filePath(name) @@ -244,13 +244,13 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: val groupCount = ((count - 1) / maxLinesPerFile + 1).toInt if (groupCount <= 1) { val recs = records.take(count.toInt) - persistRecords(path, recs) + persistRecords2Hdfs(path, recs) } else { val groupedRecords = records.grouped(groupCount).zipWithIndex groupedRecords.take(groupCount).foreach { group => val (recs, gid) = group val hdfsPath = if (gid == 0) path else withSuffix(path, gid.toString) - persistRecords(hdfsPath, recs) + persistRecords2Hdfs(hdfsPath, recs) } } } @@ -289,7 +289,7 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: try { val json = JsonUtil.toJson(result) println(s"hdfs persist metrics: ${json}") - persistRecords(MetricsFile, json :: Nil) + persistRecords2Hdfs(MetricsFile, json :: Nil) } catch { case e: Throwable => error(e.getMessage) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/HttpPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/HttpPersist.scala index 225ee4136..3c07a9094 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/HttpPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/HttpPersist.scala @@ -89,7 +89,7 @@ case class HttpPersist(config: Map[String, Any], metricName: String, timeStamp: def log(rt: Long, msg: String): Unit = {} -// def persistRecords(df: DataFrame, name: String): Unit = {} + def persistRecords(df: DataFrame, name: String): Unit = {} def persistRecords(records: Iterable[String], name: String): Unit = {} // def persistMetrics(metrics: Seq[String], name: String): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala index 0cd6f6bae..f3325485c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala @@ -117,22 +117,23 @@ case class LoggerPersist(config: Map[String, Any], metricName: String, timeStamp println(s"[${timeStamp}] ${rt}: ${msg}") } -// def persistRecords(df: DataFrame, name: String): Unit = { -// val records = df.toJSON -// println(s"${name} [${timeStamp}] records: ") -// try { -// val recordCount = records.count.toInt -// val count = if (maxLogLines < 0) recordCount else scala.math.min(maxLogLines, recordCount) -// if (count > 0) { -// val recordsArray = records.take(count) -// recordsArray.foreach(println) -// } -// } catch { -// case e: Throwable => error(e.getMessage) -// } -// } + def persistRecords(df: DataFrame, name: String): Unit = { + val records = df.toJSON + println(s"${metricName} [${timeStamp}] records: ") + try { + val recordCount = records.count.toInt + val count = if (maxLogLines < 0) recordCount else scala.math.min(maxLogLines, recordCount) + if (count > 0) { + val recordsArray = records.take(count) + recordsArray.foreach(println) + } + } catch { + case e: Throwable => error(e.getMessage) + } + } def persistRecords(records: Iterable[String], name: String): Unit = { + println(s"${metricName} [${timeStamp}] records: ") try { val recordCount = records.size val count = if (maxLogLines < 0) recordCount else scala.math.min(maxLogLines, recordCount) diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala index 580122d4d..d36e47170 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala @@ -20,6 +20,7 @@ package org.apache.griffin.measure.persist import org.mongodb.scala._ import org.apache.griffin.measure.utils.ParamUtil._ +import org.apache.spark.sql.DataFrame import org.mongodb.scala.model.{Filters, UpdateOptions, Updates} import org.mongodb.scala.result.UpdateResult @@ -42,6 +43,7 @@ case class MongoPersist(config: Map[String, Any], metricName: String, timeStamp: def log(rt: Long, msg: String): Unit = {} + def persistRecords(df: DataFrame, name: String): Unit = {} def persistRecords(records: Iterable[String], name: String): Unit = {} def persistMetrics(metrics: Map[String, Any]): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala index d698bb0eb..82b1781a1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala @@ -58,7 +58,15 @@ case class MultiPersists(persists: Iterable[Persist]) extends Persist { } } -// def persistRecords(df: DataFrame, name: String): Unit = { persists.foreach(_.persistRecords(df, name)) } + def persistRecords(df: DataFrame, name: String): Unit = { + persists.foreach { persist => + try { + persist.persistRecords(df, name) + } catch { + case e: Throwable => error(s"persist df error: ${e.getMessage}") + } + } + } def persistRecords(records: Iterable[String], name: String): Unit = { persists.foreach { persist => try { diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/Persist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/Persist.scala index 2884fa6d3..d354a5114 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/Persist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/Persist.scala @@ -43,7 +43,7 @@ trait Persist extends Loggable with Serializable { // def records(recs: RDD[String], tp: String): Unit // def records(recs: Iterable[String], tp: String): Unit -// def persistRecords(df: DataFrame, name: String): Unit + def persistRecords(df: DataFrame, name: String): Unit def persistRecords(records: Iterable[String], name: String): Unit // def persistMetrics(metrics: Seq[String], name: String): Unit def persistMetrics(metrics: Map[String, Any]): Unit diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 932a4fedc..5b0925309 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -103,13 +103,13 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // persist results val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) - val rdds = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups) - rdds.foreach(_._2.cache()) + val dfs = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups.toSet) + dfs.foreach(_._2.cache()) - dqEngines.persistAllRecords(rdds, persistFactory) + dqEngines.persistAllRecords(dfs, persistFactory) // dqEngines.persistAllRecords(ruleSteps, persistFactory, timeGroups) - rdds.foreach(_._2.unpersist()) + dfs.foreach(_._2.unpersist()) // end time val endTime = new Date().getTime @@ -129,7 +129,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // } // // // -- test -- - sqlContext.tables().show(50) +// sqlContext.tables().show(50) } def end: Try[_] = Try { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index 2ada4ef0f..dd72dccb1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -39,5 +39,5 @@ trait DqEngine extends Loggable with Serializable { // // def collectUpdateCacheDatas(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] - def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] + def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index d78554572..09efb8988 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -146,62 +146,110 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { ret } - def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long] - ): Option[RDD[(Long, Iterable[String])]] = { + def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] = { engines.flatMap { engine => - engine.collectUpdateRDD(ruleStep, timeGroups) + engine.collectUpdateRDD(ruleStep) }.headOption } +// def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long] +// ): Option[RDD[(Long, Iterable[String])]] = { +// engines.flatMap { engine => +// engine.collectUpdateRDD(ruleStep, timeGroups) +// }.headOption +// } + //////////////////////////// - def collectUpdateRDDs(ruleSteps: Seq[ConcreteRuleStep], timeGroups: Iterable[Long] - ): Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])] = { + def collectUpdateRDDs(ruleSteps: Seq[ConcreteRuleStep], timeGroups: Set[Long] + ): Seq[(ConcreteRuleStep, DataFrame)] = { ruleSteps.flatMap { rs => - collectUpdateRDD(rs, timeGroups) match { - case Some(rdd) => Some((rs, rdd)) - case _ => None - } + val t = rs.timeInfo.tmst + if (timeGroups.contains(t)) { + collectUpdateRDD(rs).map((rs, _)) + } else None } } - def persistAllRecords(stepRdds: Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])], +// def collectUpdateRDDs(ruleSteps: Seq[ConcreteRuleStep], timeGroups: Iterable[Long] +// ): Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])] = { +// ruleSteps.flatMap { rs => +// collectUpdateRDD(rs, timeGroups) match { +// case Some(rdd) => Some((rs, rdd)) +// case _ => None +// } +// } +// } + + def persistAllRecords(stepRdds: Seq[(ConcreteRuleStep, DataFrame)], persistFactory: PersistFactory): Unit = { stepRdds.foreach { stepRdd => - val (step, rdd) = stepRdd + val (step, df) = stepRdd if (step.ruleInfo.persistType == RecordPersistType) { - val name = step.name - rdd.foreach { pair => - val (t, items) = pair - val persist = persistFactory.getPersists(t) - persist.persistRecords(items, name) - } + val name = step.ruleInfo.name + val t = step.timeInfo.tmst + val persist = persistFactory.getPersists(t) + persist.persistRecords(df, name) } } } - def updateDataSources(stepRdds: Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])], +// def persistAllRecords(stepRdds: Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])], +// persistFactory: PersistFactory): Unit = { +// stepRdds.foreach { stepRdd => +// val (step, rdd) = stepRdd +// if (step.ruleInfo.persistType == RecordPersistType) { +// val name = step.name +// rdd.foreach { pair => +// val (t, items) = pair +// val persist = persistFactory.getPersists(t) +// persist.persistRecords(items, name) +// } +// } +// } +// } + + def updateDataSources(stepRdds: Seq[(ConcreteRuleStep, DataFrame)], dataSources: Seq[DataSource]): Unit = { stepRdds.foreach { stepRdd => - val (step, rdd) = stepRdd + val (step, df) = stepRdd if (step.ruleInfo.cacheDataSourceOpt.nonEmpty) { - val udpateDataSources = dataSources.filter { ds => + val udpateDsCaches = dataSources.filter { ds => step.ruleInfo.cacheDataSourceOpt match { case Some(dsName) if (dsName == ds.name) => true case _ => false } - } - if (udpateDataSources.size > 0) { - val name = step.name - rdd.foreach { pair => - val (t, items) = pair - udpateDataSources.foreach { ds => - ds.dataSourceCacheOpt.foreach(_.updateData(items, t)) - } - } + }.flatMap(_.dataSourceCacheOpt) + if (udpateDsCaches.size > 0) { + val t = step.timeInfo.tmst + udpateDsCaches.foreach(_.updateData(df, t)) } } } } +// def updateDataSources(stepRdds: Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])], +// dataSources: Seq[DataSource]): Unit = { +// stepRdds.foreach { stepRdd => +// val (step, rdd) = stepRdd +// if (step.ruleInfo.cacheDataSourceOpt.nonEmpty) { +// val udpateDataSources = dataSources.filter { ds => +// step.ruleInfo.cacheDataSourceOpt match { +// case Some(dsName) if (dsName == ds.name) => true +// case _ => false +// } +// } +// if (udpateDataSources.size > 0) { +// val name = step.name +// rdd.foreach { pair => +// val (t, items) = pair +// udpateDataSources.foreach { ds => +// ds.dataSourceCacheOpt.foreach(_.updateData(items, t)) +// } +// } +// } +// } +// } +// } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 7dc2696e5..3f5e2c693 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -36,41 +36,44 @@ trait SparkDqEngine extends DqEngine { val emptyMap = Map[String, Any]() ruleStep match { case step: ConcreteRuleStep if (step.ruleInfo.persistType == MetricPersistType) => { -// val name = step.name val tmst = step.timeInfo.tmst -// val metricName = step.ruleInfo.persistName - val metricTmstName = step.ruleInfo.tmstNameOpt val metricName = step.ruleInfo.name - try { - val pdf = sqlContext.table(s"`${metricTmstName}`") - val records: Array[String] = pdf.toJSON.collect() - val flatRecords = records.flatMap { rec => + step.ruleInfo.tmstNameOpt match { + case Some(metricTmstName) => { try { - val value = JsonUtil.toAnyMap(rec) - Some(value) + val pdf = sqlContext.table(s"`${metricTmstName}`") + val records: Array[String] = pdf.toJSON.collect() + + val flatRecords = records.flatMap { rec => + try { + val value = JsonUtil.toAnyMap(rec) + Some(value) + } catch { + case e: Throwable => None + } + }.toSeq + val metrics = step.ruleInfo.collectType match { + case EntriesCollectType => flatRecords.headOption.getOrElse(emptyMap) + case ArrayCollectType => Map[String, Any]((metricName -> flatRecords)) + case MapCollectType => { + val v = flatRecords.headOption.getOrElse(emptyMap) + Map[String, Any]((metricName -> v)) + } + case _ => { + if (flatRecords.size > 1) Map[String, Any]((metricName -> flatRecords)) + else flatRecords.headOption.getOrElse(emptyMap) + } + } + Some((tmst, metrics)) } catch { - case e: Throwable => None - } - }.toSeq - val metrics = step.ruleInfo.collectType match { - case EntriesCollectType => flatRecords.headOption.getOrElse(emptyMap) - case ArrayCollectType => Map[String, Any]((metricName -> flatRecords)) - case MapCollectType => { - val v = flatRecords.headOption.getOrElse(emptyMap) - Map[String, Any]((metricName -> v)) - } - case _ => { - if (flatRecords.size > 1) Map[String, Any]((metricName -> flatRecords)) - else flatRecords.headOption.getOrElse(emptyMap) + case e: Throwable => { + error(s"collect metrics ${metricTmstName} error: ${e.getMessage}") + None + } } } - Some((tmst, metrics)) - } catch { - case e: Throwable => { - error(s"collect metrics ${metricTmstName} error: ${e.getMessage}") - None - } + case _ => None } } case _ => None @@ -78,38 +81,27 @@ trait SparkDqEngine extends DqEngine { } else None } - def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long] - ): Option[RDD[(Long, Iterable[String])]] = { + def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] = { if (collectable) { ruleStep match { case step: ConcreteRuleStep if ((step.ruleInfo.persistType == RecordPersistType) || (step.ruleInfo.cacheDataSourceOpt.nonEmpty)) => { - val name = step.name - try { - val pdf = sqlContext.table(s"`${name}`") - val cols = pdf.columns - val rdd = pdf.flatMap { row => - val values = cols.flatMap { col => - Some((col, row.getAs[Any](col))) - }.toMap - values.get(GroupByColumn.tmst) match { - case Some(t: Long) if (timeGroups.exists(_ == t)) => Some((t, JsonUtil.toJson(values))) - case _ => None - } - }.groupByKey() - - // find other keys in time groups, create empty records for those timestamps - val existKeys = rdd.keys.collect - val otherKeys = timeGroups.filter(t => !existKeys.exists(_ == t)) - val otherPairs = otherKeys.map((_, Iterable[String]())).toSeq - val otherPairRdd = sqlContext.sparkContext.parallelize(otherPairs) + val tmst = step.timeInfo.tmst +// val metricName = step.ruleInfo.name - Some(rdd union otherPairRdd) - } catch { - case e: Throwable => { - error(s"collect records ${name} error: ${e.getMessage}") - None + step.ruleInfo.tmstNameOpt match { + case Some(metricTmstName) => { + try { + val pdf = sqlContext.table(s"`${metricTmstName}`") + Some(pdf) + } catch { + case e: Throwable => { + error(s"collect records ${metricTmstName} error: ${e.getMessage}") + None + } + } } + case _ => None } } case _ => None @@ -117,6 +109,52 @@ trait SparkDqEngine extends DqEngine { } else None } +// def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long] +// ): Option[RDD[(Long, Iterable[String])]] = { +// if (collectable) { +// ruleStep match { +// case step: ConcreteRuleStep if ((step.ruleInfo.persistType == RecordPersistType) +// || (step.ruleInfo.cacheDataSourceOpt.nonEmpty)) => { +// val tmst = step.timeInfo.tmst +// val metricName = step.ruleInfo.name +// +// step.ruleInfo.tmstNameOpt match { +// case Some(metricTmstName) => { +// try { +// val pdf = sqlContext.table(s"`${metricTmstName}`") +// val cols = pdf.columns +// val rdd = pdf.flatMap { row => +// val values = cols.flatMap { col => +// Some((col, row.getAs[Any](col))) +// }.toMap +// values.get(GroupByColumn.tmst) match { +// case Some(t: Long) if (timeGroups.exists(_ == t)) => Some((t, JsonUtil.toJson(values))) +// case _ => None +// } +// }.groupByKey() +// +// // find other keys in time groups, create empty records for those timestamps +// val existKeys = rdd.keys.collect +// val otherKeys = timeGroups.filter(t => !existKeys.exists(_ == t)) +// val otherPairs = otherKeys.map((_, Iterable[String]())).toSeq +// val otherPairRdd = sqlContext.sparkContext.parallelize(otherPairs) +// +// Some(rdd union otherPairRdd) +// } catch { +// case e: Throwable => { +// error(s"collect records ${metricTmstName} error: ${e.getMessage}") +// None +// } +// } +// } +// case _ => None +// } +// } +// case _ => None +// } +// } else None +// } + // def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] = { // ruleStep match { // case step: ConcreteRuleStep if (step.persistType == RecordPersistType) => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index 9fecfb091..cc9cda821 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -40,8 +40,7 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { case SparkSqlStep(_, ri) => { try { val rdf = sqlContext.sql(ri.rule) - rdf.registerTempTable(ri.name) - rdf.registerTempTable(ri.tmstName) + ri.getNames.foreach(rdf.registerTempTable(_)) true } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 08ee5d1c7..929d3d951 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -132,12 +132,13 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" } val missRecordsName = AccuracyKeys._missRecords + val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) val missRecordsStep = SparkSqlStep( timeInfo, - RuleInfo(missRecordsName, None, missRecordsSql, missRecordsParams) + RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) ) // 2. miss count @@ -171,27 +172,26 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuracyMetricSql = { s""" |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, - |`${totalTableName}`.`${totalColName}` AS `${totalColName}`, - |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` + |`${totalTableName}`.`${totalColName}` AS `${totalColName}` |FROM `${totalTableName}` FULL JOIN `${missTableName}` """.stripMargin } - val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) val accuracyMetricStep = SparkSqlStep( timeInfo, - RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, accuracyParams) + RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, Map[String, Any]()) ) // 5. accuracy metric filter -// val accuracyParams = details.addIfNotExist("df.name", tmstAccuracyMetricName) -// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) -// val accuracyStep = DfOprStep( -// timeInfo, -// RuleInfo(tmstAccuracyMetricName, "accuracy", accuracyParams) -// ) + val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) + .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) + .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) + val accuracyStep = DfOprStep( + timeInfo, + RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), "accuracy", accuracyParams) + ) - missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: Nil + missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil } // val details = ruleStep.ruleInfo.details diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index 2167039b5..71a52e2fc 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -70,7 +70,7 @@ object RuleInfoGen { val name = param.getString(_name, RuleStepNameGenerator.genName) RuleInfo( name, - name, + None, param.getString(_rule, ""), param.getParamMap(_details) ) @@ -78,12 +78,15 @@ object RuleInfoGen { def apply(param: Map[String, Any], timeInfo: TimeInfo): RuleInfo = { val name = param.getString(_name, RuleStepNameGenerator.genName) val tmstName = TempName.tmstName(name, timeInfo) - RuleInfo( + val ri = RuleInfo( name, - tmstName, + None, param.getString(_rule, ""), param.getParamMap(_details) ) + if (ri.persistType.needPersist) { + ri.setTmstNameOpt(Some(tmstName)) + } else ri } def dslType(param: Map[String, Any]): DslType = DslType(param.getString(_dslType, "")) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index a28dbb57f..dda72e043 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -143,7 +143,7 @@ object RuleAdaptorGroup { } (preSteps ++ curSteps, curNames) } - steps.foreach(println) +// steps.foreach(println) steps } } @@ -156,7 +156,7 @@ object RuleAdaptorGroup { } SparkSqlStep( timeInfo, - RuleInfo(baselineDsName, baselineDsName, filterSql, Map[String, Any]()) + RuleInfo(baselineDsName, None, filterSql, Map[String, Any]()) ) :: Nil } diff --git a/measure/src/test/resources/env-test.json b/measure/src/test/resources/env-test.json index 603fad8a1..898d579e6 100644 --- a/measure/src/test/resources/env-test.json +++ b/measure/src/test/resources/env-test.json @@ -13,7 +13,7 @@ { "type": "log", "config": { - "max.log.lines": 100 + "max.log.lines": 10 } } ], From 6da53e965b931b722953abf385964b91c74f2afc Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 8 Dec 2017 10:43:18 +0800 Subject: [PATCH 058/177] pre-proc done --- .../data/connector/DataConnector.scala | 13 +++--- .../rule/adaptor/RuleAdaptorGroup.scala | 7 ++- .../resources/config-test-profiling-new.json | 9 +++- measure/src/test/resources/env-test.json | 2 +- .../resources/performance-test-profiling.json | 44 +++++++++++++++++++ 5 files changed, 63 insertions(+), 12 deletions(-) create mode 100644 measure/src/test/resources/performance-test-profiling.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 771a31845..bb2ae67c2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -40,7 +40,7 @@ trait DataConnector extends Loggable with Serializable { var tmstCache: TmstCache = _ protected def saveTmst(t: Long) = tmstCache.insert(t) - protected def readTmst(t: Long) = tmstCache.range(t, t + 2) + protected def readTmst(t: Long) = tmstCache.range(t, t + 1) def init(): Unit @@ -69,11 +69,12 @@ trait DataConnector extends Loggable with Serializable { // in data df.registerTempTable(thisTable) - val dsTmsts = Map[String, Set[Long]]((thisTable -> Set[Long](ms))) +// val dsTmsts = Map[String, Set[Long]]((thisTable -> Set[Long](ms))) + val tmsts = Seq[Long](ms) // generate rule steps val ruleSteps = RuleAdaptorGroup.genRuleSteps( - TimeInfo(ms, ms), preProcRules, dsTmsts, DslType("spark-sql"), PreProcPhase) + TimeInfo(ms, ms), preProcRules, tmsts, DslType("spark-sql"), PreProcPhase) // run rules dqEngines.runRuleSteps(ruleSteps) @@ -92,14 +93,14 @@ trait DataConnector extends Loggable with Serializable { // add tmst val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) - val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)).limit(48) +// val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)).limit(48) // tmst cache saveTmst(ms) - saveTmst(ms + 1) +// saveTmst(ms + 1) Some(withTmstDf) - Some(withTmstDf unionAll withTmstDf1) +// Some(withTmstDf unionAll withTmstDf1) } } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index dda72e043..0182211de 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -117,14 +117,14 @@ object RuleAdaptorGroup { val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType val defaultDslType = DslType(dslTypeStr) val ruleParams = evaluateRuleParam.rules - genRuleSteps(timeInfo, ruleParams, dsTmsts, defaultDslType) + val tmsts = dsTmsts.getOrElse(baselineDsName, Set[Long]()).toSeq + genRuleSteps(timeInfo, ruleParams, tmsts, defaultDslType) } def genRuleSteps(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], - dsTmsts: Map[String, Set[Long]], defaultDslType: DslType, + tmsts: Seq[Long], defaultDslType: DslType, adapthase: AdaptPhase = RunPhase ): Seq[ConcreteRuleStep] = { - val tmsts = dsTmsts.getOrElse(baselineDsName, Set[Long]()).toSeq tmsts.flatMap { tmst => val newTimeInfo = TimeInfo(timeInfo.calcTime, tmst) val initSteps = adapthase match { @@ -143,7 +143,6 @@ object RuleAdaptorGroup { } (preSteps ++ curSteps, curNames) } -// steps.foreach(println) steps } } diff --git a/measure/src/test/resources/config-test-profiling-new.json b/measure/src/test/resources/config-test-profiling-new.json index 72b86f196..52946bceb 100644 --- a/measure/src/test/resources/config-test-profiling-new.json +++ b/measure/src/test/resources/config-test-profiling-new.json @@ -14,7 +14,14 @@ "version": "1.7", "config": { "file.name": "src/test/resources/users_info_src.avro" - } + }, + "pre.proc": [ + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select * from ${this} where post_code IS NOT NULL" + } + ] } ] } diff --git a/measure/src/test/resources/env-test.json b/measure/src/test/resources/env-test.json index 898d579e6..603fad8a1 100644 --- a/measure/src/test/resources/env-test.json +++ b/measure/src/test/resources/env-test.json @@ -13,7 +13,7 @@ { "type": "log", "config": { - "max.log.lines": 10 + "max.log.lines": 100 } } ], diff --git a/measure/src/test/resources/performance-test-profiling.json b/measure/src/test/resources/performance-test-profiling.json new file mode 100644 index 000000000..f8ecea249 --- /dev/null +++ b/measure/src/test/resources/performance-test-profiling.json @@ -0,0 +1,44 @@ +{ + "name": "prof_batch_test", + + "process.type": "batch", + + "timestamp": 123456, + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "HIVE", + "version": "1.2", + "config": { + "table.name": "data_avr" + }, + "pre.proc": [ + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select * from ${this} limit 10" + } + ] + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "pri", + "rule": "source.uid, count(*) as `cnt` from source group by source.uid", + "details": { + "persist.type": "metric", + "collect.type": "list" + } + } + ] + } +} \ No newline at end of file From 642d4a3575a5b1e3843bf5337fd16e95ee3dfaa9 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 11 Dec 2017 17:43:57 +0800 Subject: [PATCH 059/177] hdfs persist enhance --- .../griffin/measure/persist/HdfsPersist.scala | 44 ++++++++------- .../measure/persist/LoggerPersist.scala | 13 ++--- .../measure/process/BatchDqProcess.scala | 6 +- measure/src/test/resources/env-hdfs-test.json | 45 +++++++++++++++ .../resources/performance-test-accuracy.json | 56 +++++++++++++++++++ .../resources/performance-test-profiling.json | 20 ++----- 6 files changed, 140 insertions(+), 44 deletions(-) create mode 100644 measure/src/test/resources/env-hdfs-test.json create mode 100644 measure/src/test/resources/performance-test-accuracy.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala index 3da2914b3..00e5af6fd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala @@ -27,6 +27,7 @@ import org.apache.spark.sql.DataFrame import scala.util.Try import org.apache.griffin.measure.utils.ParamUtil._ +import org.apache.spark.TaskContext // persist result and data to hdfs case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: Long) extends Persist { @@ -37,7 +38,7 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: val path = config.getOrElse(Path, "").toString val maxPersistLines = config.getInt(MaxPersistLines, -1) - val maxLinesPerFile = config.getLong(MaxLinesPerFile, 10000) + val maxLinesPerFile = math.min(config.getInt(MaxLinesPerFile, 10000), 1000000) val separator = "/" @@ -187,6 +188,15 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: // } // } + private def persistRecords2Hdfs(hdfsPath: String, rdd: RDD[String]): Unit = { + try { +// rdd.saveAsTextFile(hdfsPath) + val recStr = rdd.collect().mkString("\n") + HdfsUtil.writeContent(hdfsPath, recStr) + } catch { + case e: Throwable => error(e.getMessage) + } + } private def persistRecords2Hdfs(hdfsPath: String, records: Iterable[String]): Unit = { try { val recStr = records.mkString("\n") @@ -205,27 +215,24 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: } } + private def getHdfsPath(path: String, ptnId: Int, groupId: Int): String = { + if (ptnId == 0 && groupId == 0) path else withSuffix(path, s"${ptnId}.${groupId}") + } def persistRecords(df: DataFrame, name: String): Unit = { - val records = df.toJSON val path = filePath(name) try { - val recordCount = records.count + val recordCount = df.count val count = if (maxPersistLines < 0) recordCount else scala.math.min(maxPersistLines, recordCount) - if (count > 0) { - val groupCount = ((count - 1) / maxLinesPerFile + 1).toInt - if (groupCount <= 1) { - val recs = records.take(count.toInt) - persistRecords2Hdfs(path, recs) - } else { - val groupedRecords: RDD[(Long, Iterable[String])] = - records.zipWithIndex.flatMap { r => - val gid = r._2 / maxLinesPerFile - if (gid < groupCount) Some((gid, r._1)) else None - }.groupByKey() + val maxCount = count.toInt + if (maxCount > 0) { + val recDf = df.limit(maxCount) + recDf.toJSON.foreachPartition { ptn => + val ptnid = TaskContext.getPartitionId() + val groupedRecords = ptn.grouped(maxLinesPerFile).zipWithIndex groupedRecords.foreach { group => - val (gid, recs) = group - val hdfsPath = if (gid == 0) path else withSuffix(path, gid.toString) + val (recs, gid) = group + val hdfsPath = getHdfsPath(path, ptnid, gid) persistRecords2Hdfs(hdfsPath, recs) } } @@ -241,12 +248,12 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: val recordCount = records.size val count = if (maxPersistLines < 0) recordCount else scala.math.min(maxPersistLines, recordCount) if (count > 0) { - val groupCount = ((count - 1) / maxLinesPerFile + 1).toInt + val groupCount = (count - 1) / maxLinesPerFile + 1 if (groupCount <= 1) { val recs = records.take(count.toInt) persistRecords2Hdfs(path, recs) } else { - val groupedRecords = records.grouped(groupCount).zipWithIndex + val groupedRecords = records.grouped(maxLinesPerFile).zipWithIndex groupedRecords.take(groupCount).foreach { group => val (recs, gid) = group val hdfsPath = if (gid == 0) path else withSuffix(path, gid.toString) @@ -288,7 +295,6 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: val result = head + (_Value -> metrics) try { val json = JsonUtil.toJson(result) - println(s"hdfs persist metrics: ${json}") persistRecords2Hdfs(MetricsFile, json :: Nil) } catch { case e: Throwable => error(e.getMessage) diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala index f3325485c..f0c1cbcc3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala @@ -118,13 +118,14 @@ case class LoggerPersist(config: Map[String, Any], metricName: String, timeStamp } def persistRecords(df: DataFrame, name: String): Unit = { - val records = df.toJSON println(s"${metricName} [${timeStamp}] records: ") try { - val recordCount = records.count.toInt + val recordCount = df.count val count = if (maxLogLines < 0) recordCount else scala.math.min(maxLogLines, recordCount) - if (count > 0) { - val recordsArray = records.take(count) + val maxCount = count.toInt + if (maxCount > 0) { + val recDf = df.limit(maxCount) + val recordsArray = recDf.collect() recordsArray.foreach(println) } } catch { @@ -162,10 +163,6 @@ case class LoggerPersist(config: Map[String, Any], metricName: String, timeStamp println(s"${metricName} [${timeStamp}] metrics: ") val json = JsonUtil.toJson(metrics) println(json) -// metrics.foreach { metric => -// val (key, value) = metric -// println(s"${key}: ${value}") -// } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 5b0925309..842505f13 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -124,8 +124,10 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // ruleSteps.foreach { rs => // println(rs) // // sqlContext.dropTempTable(rs.ruleInfo.name) -// sqlContext.dropTempTable(s"`${rs.ruleInfo.tmstName}`") -// sqlContext.dropTempTable(s"`${rs.ruleInfo.tmstName}`") +// rs.ruleInfo.tmstNameOpt match { +// case Some(n) => sqlContext.dropTempTable(s"`${n}`") +// case _ => {} +// } // } // // // -- test -- diff --git a/measure/src/test/resources/env-hdfs-test.json b/measure/src/test/resources/env-hdfs-test.json new file mode 100644 index 000000000..2f67e4400 --- /dev/null +++ b/measure/src/test/resources/env-hdfs-test.json @@ -0,0 +1,45 @@ +{ + "spark": { + "log.level": "WARN", + "checkpoint.dir": "hdfs:///griffin/batch/cp", + "batch.interval": "10s", + "process.interval": "10m", + "config": { + "spark.master": "local[*]" + } + }, + + "persist": [ + { + "type": "log", + "config": { + "max.log.lines": 10 + } + }, + { + "type": "hdfs", + "config": { + "path": "hdfs://localhost/griffin/test", + "max.lines.per.file": 10000 + } + } + ], + + "info.cache": [ + { + "type": "zk", + "config": { + "hosts": "localhost:2181", + "namespace": "griffin/infocache", + "lock.path": "lock", + "mode": "persist", + "init.clear": true, + "close.clear": false + } + } + ], + + "cleaner": { + + } +} \ No newline at end of file diff --git a/measure/src/test/resources/performance-test-accuracy.json b/measure/src/test/resources/performance-test-accuracy.json new file mode 100644 index 000000000..035e4ac98 --- /dev/null +++ b/measure/src/test/resources/performance-test-accuracy.json @@ -0,0 +1,56 @@ +{ + "name": "accu_batch_test", + + "process.type": "batch", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "HIVE", + "version": "1.2", + "config": { + "table.name": "data_avr_big", + "where": "pt=2" + } + } + ] + }, + { + "name": "target", + "connectors": [ + { + "type": "HIVE", + "version": "1.2", + "config": { + "table.name": "data_rdm" + } + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "accuracy", + "name": "accuracy", + "rule": "source.uid = target.uid AND source.uage = target.uage AND source.udes = target.udes", + "details": { + "persist.type": "metric", + "source": "source", + "target": "target", + "miss": "miss_count", + "total": "total_count", + "matched": "matched_count", + "miss.records": { + "persist.type": "record" + } + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/performance-test-profiling.json b/measure/src/test/resources/performance-test-profiling.json index f8ecea249..0b22d7517 100644 --- a/measure/src/test/resources/performance-test-profiling.json +++ b/measure/src/test/resources/performance-test-profiling.json @@ -3,8 +3,6 @@ "process.type": "batch", - "timestamp": 123456, - "data.sources": [ { "name": "source", @@ -13,15 +11,9 @@ "type": "HIVE", "version": "1.2", "config": { - "table.name": "data_avr" - }, - "pre.proc": [ - { - "dsl.type": "spark-sql", - "name": "${this}", - "rule": "select * from ${this} limit 10" - } - ] + "table.name": "data_avr_big", + "where": "pt <= 100" + } } ] } @@ -32,11 +24,9 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "name": "pri", - "rule": "source.uid, count(*) as `cnt` from source group by source.uid", + "rule": "count(*) as `cnt` from source where uid > 100", "details": { - "persist.type": "metric", - "collect.type": "list" + "persist.type": "metric" } } ] From 472a1f998936b476becc685a7a57b1ce680108a0 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 13 Dec 2017 10:53:32 +0800 Subject: [PATCH 060/177] register table --- .../data/connector/DataConnector.scala | 2 +- .../measure/data/source/DataSource.scala | 10 +- .../measure/data/source/DataSourceCache.scala | 10 +- .../measure/persist/LoggerPersist.scala | 2 +- .../measure/process/StreamingDqProcess.scala | 16 +- .../measure/process/StreamingDqThread.scala | 153 +++++++++--------- .../process/engine/DataFrameOprEngine.scala | 2 + .../process/engine/SparkDqEngine.scala | 43 ++--- .../TempTableValidator.scala} | 8 +- .../measure/process/temp/TempTables.scala | 55 +++++++ .../rule/adaptor/RuleAdaptorGroup.scala | 21 +-- .../griffin/measure/utils/HdfsUtil.scala | 2 +- .../resources/config-test-accuracy-new.json | 12 +- .../config-test-accuracy-streaming-new.json | 116 +++++++++++++ .../config-test-profiling-streaming-new.json | 85 ++++++++++ .../config-test-profiling-streaming-new2.json | 72 +++++++++ measure/src/test/resources/env-test.json | 2 +- .../rule/adaptor/GriffinDslAdaptorTest.scala | 2 +- 18 files changed, 481 insertions(+), 132 deletions(-) rename measure/src/main/scala/org/apache/griffin/measure/process/{check/DataChecker.scala => temp/TempTableValidator.scala} (82%) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala create mode 100644 measure/src/test/resources/config-test-accuracy-streaming-new.json create mode 100644 measure/src/test/resources/config-test-profiling-streaming-new.json create mode 100644 measure/src/test/resources/config-test-profiling-streaming-new2.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index bb2ae67c2..de54a643b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -80,7 +80,7 @@ trait DataConnector extends Loggable with Serializable { dqEngines.runRuleSteps(ruleSteps) // out data - val outDf = sqlContext.table(thisTable) + val outDf = sqlContext.table(s"`${thisTable}`") // drop temp table names.foreach { name => diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 951a65983..d83e07f7b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -49,7 +49,7 @@ case class DataSource(sqlContext: SQLContext, def loadData(ms: Long): Set[Long] = { val tmstName = TempName.tmstName(name, ms) - println(s"load data ${name}") + println(s"load data [${name}] (${tmstName})") val (dfOpt, tmsts) = data(ms) dfOpt match { case Some(df) => { @@ -60,7 +60,7 @@ case class DataSource(sqlContext: SQLContext, // val df = sqlContext.emptyDataFrame // df.registerTempTable(name) // warn(s"load data source [${name}] fails") - warn(s"load data source [${name}] fails") + warn(s"load data source [${name}] (${tmstName}) fails") // throw new Exception(s"load data source [${name}] fails") } } @@ -68,11 +68,11 @@ case class DataSource(sqlContext: SQLContext, } def dropTable(ms: Long): Unit = { + val tmstName = TempName.tmstName(name, ms) try { - val tmstName = TempName.tmstName(name, ms) - sqlContext.dropTempTable(tmstName) + sqlContext.dropTempTable(s"`${tmstName}`") } catch { - case e: Throwable => warn(s"drop table [${name}] fails") + case e: Throwable => warn(s"drop table [${name}] (${tmstName}) fails") } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala index a443ce134..05480575f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala @@ -38,6 +38,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], var tmstCache: TmstCache = _ protected def rangeTmsts(from: Long, until: Long) = tmstCache.range(from, until) + protected def clearTmst(t: Long) = tmstCache.remove(t) protected def clearTmstsUntil(until: Long) = { val outDateTmsts = tmstCache.until(until) tmstCache.remove(outDateTmsts) @@ -170,10 +171,13 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], println(s"remove file path: ${dirPath}/${dataFileName}") // save updated data - val dumped = if (needSave) { + if (needSave) { HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) println(s"update file path: ${dataFilePath}") - } else false + } else { + clearTmst(ms) + println(s"clear data source timestamp: ${ms}") + } } catch { case e: Throwable => error(s"update data error: ${e.getMessage}") } @@ -250,6 +254,8 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], val cleanTime = readCleanTime() cleanTime match { case Some(ct) => { + println(s"clear timestamps before ${ct}") + // clear out date tmsts clearTmstsUntil(ct) diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala index f0c1cbcc3..e3b1869a5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala @@ -125,7 +125,7 @@ case class LoggerPersist(config: Map[String, Any], metricName: String, timeStamp val maxCount = count.toInt if (maxCount > 0) { val recDf = df.limit(maxCount) - val recordsArray = recDf.collect() + val recordsArray = recDf.toJSON.collect() recordsArray.foreach(println) } } catch { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala index ec5a54e24..2ae929890 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala @@ -28,6 +28,7 @@ import org.apache.griffin.measure.data.source.DataSourceFactory import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngineFactory import org.apache.griffin.measure.rule.adaptor.RuleAdaptorGroup +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.rule.udf.GriffinUdfs import org.apache.griffin.measure.utils.TimeUtil import org.apache.spark.sql.SQLContext @@ -42,8 +43,10 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { val envParam: EnvParam = allParam.envParam val userParam: UserParam = allParam.userParam - val metricName = userParam.name val sparkParam = envParam.sparkParam + val metricName = userParam.name + val dataSourceNames = userParam.dataSources.map(_.name) + val baselineDsName = userParam.baselineDsName var sparkContext: SparkContext = _ var sqlContext: SQLContext = _ @@ -66,7 +69,7 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { // init adaptors val dataSourceNames = userParam.dataSources.map(_.name) -// RuleAdaptorGroup.init(sqlContext, dataSourceNames) + RuleAdaptorGroup.init(sqlContext, dataSourceNames, baselineDsName) } def run: Try[_] = Try { @@ -103,10 +106,11 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { val dqThread = StreamingDqThread(dqEngines, dataSources, userParam.evaluateRuleParam, persistFactory, persist) // init data sources -// dqEngines.loadData(dataSources) -// -// // generate rule steps -// val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps(userParam.evaluateRuleParam) +// val dsTmsts = dqEngines.loadData(dataSources, appTime) + + // generate rule steps +// val ruleSteps = RuleAdaptorGroup.genRuleSteps( +// TimeInfo(appTime, appTime), userParam.evaluateRuleParam, dsTmsts) // // // run rules // dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index cacf86b69..1c93f89c3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -41,86 +41,87 @@ case class StreamingDqThread(dqEngines: DqEngines, val lock = InfoCacheInstance.genLock("process") def run(): Unit = { -// val updateTimeDate = new Date() -// val updateTime = updateTimeDate.getTime -// println(s"===== [${updateTimeDate}] process begins =====") -// val locked = lock.lock(5, TimeUnit.SECONDS) -// if (locked) { -// try { -// -// val st = new Date().getTime -// appPersist.log(st, s"starting process ...") -// -// TimeInfoCache.startTimeInfoCache -// -// // init data sources -// val dsTmsts = dqEngines.loadData(dataSources, st) -// -// warn(s"data sources timestamps: ${dsTmsts}") -// -// // generate rule steps -// val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( -// TimeInfo(st, st), evaluateRuleParam, dsTmsts, StreamingProcessType, RunPhase) -// -// // run rules -// dqEngines.runRuleSteps(ruleSteps) -// -// val ct = new Date().getTime -// val calculationTimeStr = s"calculation using time: ${ct - st} ms" + val updateTimeDate = new Date() + val updateTime = updateTimeDate.getTime + println(s"===== [${updateTimeDate}] process begins =====") + val locked = lock.lock(5, TimeUnit.SECONDS) + if (locked) { + try { + + val st = new Date().getTime + appPersist.log(st, s"starting process ...") + + TimeInfoCache.startTimeInfoCache + + // init data sources + val dsTmsts = dqEngines.loadData(dataSources, st) + + println(s"data sources timestamps: ${dsTmsts}") + + // generate rule steps + val ruleSteps = RuleAdaptorGroup.genRuleSteps( + TimeInfo(st, st), evaluateRuleParam, dsTmsts) + + // run rules + dqEngines.runRuleSteps(ruleSteps) + + val ct = new Date().getTime + val calculationTimeStr = s"calculation using time: ${ct - st} ms" // println(calculationTimeStr) -// appPersist.log(ct, calculationTimeStr) -// -// // persist results -// val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) -// -// val rt = new Date().getTime -// val persistResultTimeStr = s"persist result using time: ${rt - ct} ms" + appPersist.log(ct, calculationTimeStr) + + // persist results + val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) + println(s"--- timeGroups: ${timeGroups}") + + val rt = new Date().getTime + val persistResultTimeStr = s"persist result using time: ${rt - ct} ms" // println(persistResultTimeStr) -// appPersist.log(rt, persistResultTimeStr) -// -// val rdds = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups) -// rdds.foreach(_._2.cache()) -// rdds.foreach { pr => -// val (step, rdd) = pr -// val cnt = rdd.count -// println(s"step [${step.name}] group count: ${cnt}") -// } -// -// val lt = new Date().getTime -// val collectRddTimeStr = s"collect records using time: ${lt - rt} ms" + appPersist.log(rt, persistResultTimeStr) + + val dfs = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups.toSet) + dfs.foreach(_._2.cache()) + dfs.foreach { pr => + val (step, df) = pr + val cnt = df.count + println(s"step [${step.name}] group count: ${cnt}") + } + + val lt = new Date().getTime + val collectRddTimeStr = s"collect records using time: ${lt - rt} ms" // println(collectRddTimeStr) -// appPersist.log(lt, collectRddTimeStr) -// -// // persist records -// dqEngines.persistAllRecords(rdds, persistFactory) -//// dqEngines.persistAllRecords(ruleSteps, persistFactory, timeGroups) -// -// // update data source -// dqEngines.updateDataSources(rdds, dataSources) -//// dqEngines.updateDataSources(ruleSteps, dataSources, timeGroups) -// -// rdds.foreach(_._2.unpersist()) -// -// TimeInfoCache.endTimeInfoCache -// -// // clean old data -// cleanData(st) -// -// val et = new Date().getTime -// val persistTimeStr = s"persist records using time: ${et - lt} ms" + appPersist.log(lt, collectRddTimeStr) + + // persist records + dqEngines.persistAllRecords(dfs, persistFactory) +// dqEngines.persistAllRecords(ruleSteps, persistFactory, timeGroups) + + // update data source + dqEngines.updateDataSources(dfs, dataSources) +// dqEngines.updateDataSources(ruleSteps, dataSources, timeGroups) + + dfs.foreach(_._2.unpersist()) + + TimeInfoCache.endTimeInfoCache + + // clean old data + cleanData(st) + + val et = new Date().getTime + val persistTimeStr = s"persist records using time: ${et - lt} ms" // println(persistTimeStr) -// appPersist.log(et, persistTimeStr) -// -// } catch { -// case e: Throwable => error(s"process error: ${e.getMessage}") -// } finally { -// lock.unlock() -// } -// } else { -// println(s"===== [${updateTimeDate}] process ignores =====") -// } -// val endTime = new Date().getTime -// println(s"===== [${updateTimeDate}] process ends, using ${endTime - updateTime} ms =====") + appPersist.log(et, persistTimeStr) + + } catch { + case e: Throwable => error(s"process error: ${e.getMessage}") + } finally { + lock.unlock() + } + } else { + println(s"===== [${updateTimeDate}] process ignores =====") + } + val endTime = new Date().getTime + println(s"===== [${updateTimeDate}] process ends, using ${endTime - updateTime} ms =====") } // clean old data and old result cache diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index ccba946eb..b3809b780 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -35,6 +35,8 @@ import org.apache.spark.sql.{DataFrame, Row, SQLContext} import org.apache.spark.streaming.StreamingContext import org.apache.griffin.measure.utils.ParamUtil._ +import scala.util.Try + case class DataFrameOprEngine(sqlContext: SQLContext) extends SparkDqEngine { def runRuleStep(ruleStep: ConcreteRuleStep): Boolean = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 3f5e2c693..95fa3ae45 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -45,27 +45,32 @@ trait SparkDqEngine extends DqEngine { val pdf = sqlContext.table(s"`${metricTmstName}`") val records: Array[String] = pdf.toJSON.collect() - val flatRecords = records.flatMap { rec => - try { - val value = JsonUtil.toAnyMap(rec) - Some(value) - } catch { - case e: Throwable => None - } - }.toSeq - val metrics = step.ruleInfo.collectType match { - case EntriesCollectType => flatRecords.headOption.getOrElse(emptyMap) - case ArrayCollectType => Map[String, Any]((metricName -> flatRecords)) - case MapCollectType => { - val v = flatRecords.headOption.getOrElse(emptyMap) - Map[String, Any]((metricName -> v)) - } - case _ => { - if (flatRecords.size > 1) Map[String, Any]((metricName -> flatRecords)) - else flatRecords.headOption.getOrElse(emptyMap) + if (records.size > 0) { + val flatRecords = records.flatMap { rec => + try { + val value = JsonUtil.toAnyMap(rec) + Some(value) + } catch { + case e: Throwable => None + } + }.toSeq + val metrics = step.ruleInfo.collectType match { + case EntriesCollectType => flatRecords.headOption.getOrElse(emptyMap) + case ArrayCollectType => Map[String, Any]((metricName -> flatRecords)) + case MapCollectType => { + val v = flatRecords.headOption.getOrElse(emptyMap) + Map[String, Any]((metricName -> v)) + } + case _ => { + if (flatRecords.size > 1) Map[String, Any]((metricName -> flatRecords)) + else flatRecords.headOption.getOrElse(emptyMap) + } } + Some((tmst, metrics)) + } else { + println(s"empty metrics in table `${metricTmstName}`, not persisted") + None } - Some((tmst, metrics)) } catch { case e: Throwable => { error(s"collect metrics ${metricTmstName} error: ${e.getMessage}") diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/check/DataChecker.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTableValidator.scala similarity index 82% rename from measure/src/main/scala/org/apache/griffin/measure/process/check/DataChecker.scala rename to measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTableValidator.scala index 91855c22e..00f478888 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/check/DataChecker.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTableValidator.scala @@ -16,14 +16,16 @@ KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -package org.apache.griffin.measure.process.check +package org.apache.griffin.measure.process.temp import org.apache.spark.sql.SQLContext -case class DataChecker(sqlContext: SQLContext) { +case class TempTableValidator(sqlContext: SQLContext) { def existDataSourceName(name: String): Boolean = { - sqlContext.tableNames.exists(_ == name) +// sqlContext.tableNames.exists(_ == name) + + TempTables.existTable(name) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala new file mode 100644 index 000000000..1d042c563 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala @@ -0,0 +1,55 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.process.temp + +import org.apache.griffin.measure.log.Loggable + +import scala.collection.concurrent.{Map => ConcMap, TrieMap} + +object TempTables extends Loggable { + + val tables: ConcMap[Long, Set[String]] = TrieMap[Long, Set[String]]() + + def registerTable(t: Long, table: String): Unit = { + val set = tables.get(t) match { + case Some(s) => s + table + case _ => Set[String](table) + } + tables.replace(t, set) + } + + def unregisterTable(t: Long, table: String): Unit = { + tables.get(t).foreach { set => + val nset = set - table + tables.replace(t, nset) + } + } + + def unregisterTables(t: Long): Unit = { + tables.remove(t) + } + + def existTable(t: Long, table: String): Boolean = { + tables.get(t) match { + case Some(set) => set.exists(_ == table) + case _ => false + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 0182211de..6a0ac80f0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -22,7 +22,7 @@ import org.apache.griffin.measure.cache.tmst.TempName import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.data.connector.GroupByColumn import org.apache.griffin.measure.process.ProcessType -import org.apache.griffin.measure.process.check.DataChecker +import org.apache.griffin.measure.process.temp.TempTableValidator import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.step._ import org.apache.spark.sql.SQLContext @@ -34,21 +34,21 @@ object RuleAdaptorGroup { // val _dslType = "dsl.type" import RuleInfoKeys._ - var dataSourceNames: Seq[String] = _ - var functionNames: Seq[String] = _ + var dataSourceNames: Seq[String] = Nil + var functionNames: Seq[String] = Nil var baselineDsName: String = "" - var dataChecker: DataChecker = _ + var dataChecker: TempTableValidator = _ def init(sqlContext: SQLContext, dsNames: Seq[String], blDsName: String): Unit = { val functions = sqlContext.sql("show functions") - functionNames = functions.map(_.getString(0)).collect + functionNames = functions.map(_.getString(0)).collect.toSeq dataSourceNames = dsNames baselineDsName = blDsName - dataChecker = DataChecker(sqlContext) + dataChecker = TempTableValidator(sqlContext) } private def getDslType(param: Map[String, Any], defDslType: DslType) = { @@ -127,7 +127,7 @@ object RuleAdaptorGroup { ): Seq[ConcreteRuleStep] = { tmsts.flatMap { tmst => val newTimeInfo = TimeInfo(timeInfo.calcTime, tmst) - val initSteps = adapthase match { + val initSteps: Seq[ConcreteRuleStep] = adapthase match { case RunPhase => genTmstInitStep(newTimeInfo) case PreProcPhase => Nil } @@ -137,11 +137,12 @@ object RuleAdaptorGroup { val (curSteps, curNames) = genRuleAdaptor(dslType, preNames) match { case Some(ruleAdaptor) => { val concreteSteps = ruleAdaptor.genConcreteRuleStep(newTimeInfo, param) - (concreteSteps, preNames ++ ruleAdaptor.getPersistNames(concreteSteps)) + val persistNames = ruleAdaptor.getPersistNames(concreteSteps) + (concreteSteps, persistNames) } - case _ => (Nil, preNames) + case _ => (Nil, Nil) } - (preSteps ++ curSteps, curNames) + (preSteps ++ curSteps, preNames ++ curNames) } steps } diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index 9fa6bcfbe..69f63beed 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.set("dfs.support.append", "true") -// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost + conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) diff --git a/measure/src/test/resources/config-test-accuracy-new.json b/measure/src/test/resources/config-test-accuracy-new.json index 1b8ca2120..d0889d1e5 100644 --- a/measure/src/test/resources/config-test-accuracy-new.json +++ b/measure/src/test/resources/config-test-accuracy-new.json @@ -7,7 +7,7 @@ "data.sources": [ { - "name": "src", + "name": "source", "baseline": true, "connectors": [ { @@ -19,13 +19,13 @@ } ] }, { - "name": "tgt", + "name": "target", "connectors": [ { "type": "avro", "version": "1.7", "config": { - "file.name": "src/test/resources/users_info_target.avro" + "file.name": "src/test/resources/users_info_target.avro1" } } ] @@ -38,11 +38,11 @@ "dsl.type": "griffin-dsl", "dq.type": "accuracy", "name": "accuracy", - "rule": "src.user_id = tgt.user_id AND upper(src.first_name) = upper(tgt.first_name) AND src.last_name = tgt.last_name AND src.address = tgt.address AND src.email = tgt.email AND src.phone = tgt.phone AND src.post_code = tgt.post_code", + "rule": "source.user_id = target.user_id AND upper(source.first_name) = upper(target.first_name) AND source.last_name = target.last_name AND source.address = target.address AND source.email = target.email AND source.phone = target.phone AND source.post_code = target.post_code", "details": { "persist.type": "metric", - "source": "src", - "target": "tgt", + "source": "source", + "target": "target", "miss": "miss_count", "total": "total_count", "matched": "matched_count", diff --git a/measure/src/test/resources/config-test-accuracy-streaming-new.json b/measure/src/test/resources/config-test-accuracy-streaming-new.json new file mode 100644 index 000000000..25bd15713 --- /dev/null +++ b/measure/src/test/resources/config-test-accuracy-streaming-new.json @@ -0,0 +1,116 @@ +{ + "name": "accu_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + }, { + "name": "target", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "ttt1", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${t1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${t1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/target", + "info.path": "target", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "accuracy", + "name": "accuracy", + "rule": "source.name = target.name and source.age = target.age", + "details": { + "persist.type": "metric", + "source": "source", + "target": "target", + "miss": "miss_count", + "total": "total_count", + "matched": "matched_count", + "miss.records": { + "persist.name": "miss.records", + "persist.type": "record", + "cache.data.source": "source" + } + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/config-test-profiling-streaming-new.json b/measure/src/test/resources/config-test-profiling-streaming-new.json new file mode 100644 index 000000000..20e6289ec --- /dev/null +++ b/measure/src/test/resources/config-test-profiling-streaming-new.json @@ -0,0 +1,85 @@ +{ + "name": "prof_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["0", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "name-group", + "rule": "source.name, source.*.count() from source group by source.name", + "details": { + "source": "source", + "persist.type": "metric" + } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "profiling", + "rule": "name.count(), source.age.min(), age.avg(), source.age.max()", + "details": { + "source": "source", + "persist.type": "metric" + } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "null-count", + "rule": "name.count() as `name-null-count` where source.name IS NULL", + "details": { + "source": "source", + "persist.type": "metric" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/config-test-profiling-streaming-new2.json b/measure/src/test/resources/config-test-profiling-streaming-new2.json new file mode 100644 index 000000000..53c5b498d --- /dev/null +++ b/measure/src/test/resources/config-test-profiling-streaming-new2.json @@ -0,0 +1,72 @@ +{ + "name": "prof_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["0", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "name-grp", + "rule": "select name, count(*) as `cnt` from source group by name", + "details": { + "persist.type": "metric", + "collect.type": "array" + } + }, + { + "dsl.type": "spark-sql", + "name": "prof", + "rule": "select count(name) as `cnt`, max(age) as `max`, min(age) as `min` from source", + "details": { + "persist.type": "metric" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/env-test.json b/measure/src/test/resources/env-test.json index 603fad8a1..898d579e6 100644 --- a/measure/src/test/resources/env-test.json +++ b/measure/src/test/resources/env-test.json @@ -13,7 +13,7 @@ { "type": "log", "config": { - "max.log.lines": 100 + "max.log.lines": 10 } } ], diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 8ece9cc2f..4b2894ea8 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -19,7 +19,7 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process._ -import org.apache.griffin.measure.process.check.DataChecker +import org.apache.griffin.measure.process.temp.TempTableValidator import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.junit.runner.RunWith From 3a00dee836693f3a4345c101f941b590eb516277 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 13 Dec 2017 18:02:13 +0800 Subject: [PATCH 061/177] manage temp tables, waiting for ignore cache group --- .../griffin/measure/cache/tmst/TempName.scala | 7 +- .../data/connector/DataConnector.scala | 28 ++-- .../measure/data/source/DataSource.scala | 22 +-- .../griffin/measure/persist/HdfsPersist.scala | 33 +++-- .../measure/process/BatchDqProcess.scala | 12 ++ .../measure/process/StreamingDqProcess.scala | 3 +- .../measure/process/StreamingDqThread.scala | 10 +- .../process/engine/DataFrameOprEngine.scala | 14 +- .../measure/process/engine/DqEngines.scala | 2 +- .../process/engine/SparkDqEngine.scala | 4 +- .../process/engine/SparkSqlEngine.scala | 8 +- .../process/temp/TempTableValidator.scala | 31 ---- .../measure/process/temp/TempTables.scala | 78 ++++++++-- .../rule/adaptor/GriffinDslAdaptor.scala | 133 ++---------------- .../rule/adaptor/RuleAdaptorGroup.scala | 9 +- .../rule/adaptor/SparkSqlAdaptor.scala | 2 +- .../griffin/measure/utils/HdfsUtil.scala | 6 +- .../resources/config-test-accuracy-new.json | 4 +- .../config-test-accuracy-streaming-new.json | 6 +- .../config-test-accuracy-streaming-new2.json | 133 ++++++++++++++++++ 20 files changed, 308 insertions(+), 237 deletions(-) delete mode 100644 measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTableValidator.scala create mode 100644 measure/src/test/resources/config-test-accuracy-streaming-new2.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala index 7e0feb987..70b2564f8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala @@ -24,14 +24,15 @@ import org.apache.griffin.measure.rule.step.TimeInfo object TempName extends Loggable { def tmstName(name: String, ms: Long) = { - s"${name}(${ms})" + s"${name}_${ms}" } //-- temp df name -- - private val tmstNameRegex = """^(.*)\((\d*)\)\[(\d*)\]$""".r +// private val tmstNameRegex = """^(.*)\((\d*)\)\[(\d*)\]$""".r + private val tmstNameRegex = """^(.*)_(\d*)_(\d*)$""".r def tmstName(name: String, timeInfo: TimeInfo) = { val TimeInfo(calcTime, tmst) = timeInfo - s"${name}(${calcTime})[${tmst}]" + s"${name}_${calcTime}_${tmst}" } def extractTmstName(tmstName: String): (String, Option[Long], Option[Long]) = { tmstName match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index de54a643b..de66fd074 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -25,6 +25,8 @@ import org.apache.griffin.measure.config.params.user.DataConnectorParam import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.{BatchDqProcess, BatchProcessType} import org.apache.griffin.measure.process.engine._ +import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.rule.adaptor.{PreProcPhase, RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.preproc.PreProcRuleGenerator @@ -57,17 +59,17 @@ trait DataConnector extends Loggable with Serializable { protected def suffix(ms: Long): String = s"${id}_${ms}" protected def thisName(ms: Long): String = s"this_${suffix(ms)}" - final val tmstColName = GroupByColumn.tmst + final val tmstColName = InternalColumns.tmst def preProcess(dfOpt: Option[DataFrame], ms: Long): Option[DataFrame] = { val thisTable = thisName(ms) val preProcRules = PreProcRuleGenerator.genPreProcRules(dcParam.preProc, suffix(ms)) - val names = PreProcRuleGenerator.getRuleNames(preProcRules).toSet + thisTable +// val names = PreProcRuleGenerator.getRuleNames(preProcRules).toSet + thisTable try { dfOpt.flatMap { df => // in data - df.registerTempTable(thisTable) + TempTables.registerTempTable(df, key(id, ms), thisTable) // val dsTmsts = Map[String, Set[Long]]((thisTable -> Set[Long](ms))) val tmsts = Seq[Long](ms) @@ -82,14 +84,15 @@ trait DataConnector extends Loggable with Serializable { // out data val outDf = sqlContext.table(s"`${thisTable}`") - // drop temp table - names.foreach { name => - try { - sqlContext.dropTempTable(name) - } catch { - case e: Throwable => warn(s"drop temp table ${name} fails") - } - } + // drop temp tables + TempTables.unregisterTempTables(sqlContext, key(id, ms)) +// names.foreach { name => +// try { +// TempTables.unregisterTempTable(sqlContext, ms, name) +// } catch { +// case e: Throwable => warn(s"drop temp table ${name} fails") +// } +// } // add tmst val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) @@ -126,6 +129,7 @@ object DataConnectorIdGenerator { } } -object GroupByColumn { +object InternalColumns { val tmst = "__tmst" + val ignoreCache = "__ignoreCache" } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index d83e07f7b..8bf5f36c4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -23,6 +23,8 @@ import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.data.connector.batch._ import org.apache.griffin.measure.data.connector.streaming._ import org.apache.griffin.measure.log.Loggable +import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row, SQLContext} @@ -53,8 +55,8 @@ case class DataSource(sqlContext: SQLContext, val (dfOpt, tmsts) = data(ms) dfOpt match { case Some(df) => { - df.registerTempTable(name) - df.registerTempTable(tmstName) + TempTables.registerTempTable(df, key(ms), name) + TempTables.registerTempTable(df, key(ms), tmstName) } case None => { // val df = sqlContext.emptyDataFrame @@ -67,14 +69,14 @@ case class DataSource(sqlContext: SQLContext, tmsts } - def dropTable(ms: Long): Unit = { - val tmstName = TempName.tmstName(name, ms) - try { - sqlContext.dropTempTable(s"`${tmstName}`") - } catch { - case e: Throwable => warn(s"drop table [${name}] (${tmstName}) fails") - } - } +// def dropTable(ms: Long): Unit = { +// val tmstName = TempName.tmstName(name, ms) +// try { +// sqlContext.dropTempTable(s"`${tmstName}`") +// } catch { +// case e: Throwable => warn(s"drop table [${name}] (${tmstName}) fails") +// } +// } private def data(ms: Long): (Option[DataFrame], Set[Long]) = { // val batchPairs = batchDataConnectors.map(_.data(ms)) diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala index 00e5af6fd..518c2c9b2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala @@ -188,15 +188,15 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: // } // } - private def persistRecords2Hdfs(hdfsPath: String, rdd: RDD[String]): Unit = { - try { -// rdd.saveAsTextFile(hdfsPath) - val recStr = rdd.collect().mkString("\n") - HdfsUtil.writeContent(hdfsPath, recStr) - } catch { - case e: Throwable => error(e.getMessage) - } - } +// private def persistRecords2Hdfs(hdfsPath: String, rdd: RDD[String]): Unit = { +// try { +//// rdd.saveAsTextFile(hdfsPath) +// val recStr = rdd.collect().mkString("\n") +// HdfsUtil.writeContent(hdfsPath, recStr) +// } catch { +// case e: Throwable => error(e.getMessage) +// } +// } private def persistRecords2Hdfs(hdfsPath: String, records: Iterable[String]): Unit = { try { val recStr = records.mkString("\n") @@ -215,12 +215,22 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: } } + private def getHdfsPath(path: String, groupId: Int): String = { + HdfsUtil.getHdfsFilePath(path, s"${groupId}") +// if (groupId == 0) path else withSuffix(path, s"${groupId}") + } private def getHdfsPath(path: String, ptnId: Int, groupId: Int): String = { - if (ptnId == 0 && groupId == 0) path else withSuffix(path, s"${ptnId}.${groupId}") + HdfsUtil.getHdfsFilePath(path, s"${ptnId}.${groupId}") +// if (ptnId == 0 && groupId == 0) path else withSuffix(path, s"${ptnId}.${groupId}") + } + + private def clearOldRecords(path: String): Unit = { + HdfsUtil.deleteHdfsPath(path) } def persistRecords(df: DataFrame, name: String): Unit = { val path = filePath(name) + clearOldRecords(path) try { val recordCount = df.count val count = if (maxPersistLines < 0) recordCount else scala.math.min(maxPersistLines, recordCount) @@ -244,6 +254,7 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: def persistRecords(records: Iterable[String], name: String): Unit = { val path = filePath(name) + clearOldRecords(path) try { val recordCount = records.size val count = if (maxPersistLines < 0) recordCount else scala.math.min(maxPersistLines, recordCount) @@ -256,7 +267,7 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: val groupedRecords = records.grouped(maxLinesPerFile).zipWithIndex groupedRecords.take(groupCount).foreach { group => val (recs, gid) = group - val hdfsPath = if (gid == 0) path else withSuffix(path, gid.toString) + val hdfsPath = getHdfsPath(path, gid) persistRecords2Hdfs(hdfsPath, recs) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 842505f13..e2de1c973 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -20,12 +20,16 @@ package org.apache.griffin.measure.process import java.util.Date +import org.apache.griffin.measure.cache.info.TimeInfoCache +import org.apache.griffin.measure.cache.result.CacheResultProcesser import org.apache.griffin.measure.config.params._ import org.apache.griffin.measure.config.params.env._ import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.data.source.DataSourceFactory import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.{DqEngineFactory, SparkSqlEngine} +import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.rule.udf.GriffinUdfs @@ -34,6 +38,7 @@ import org.apache.spark.sql.SQLContext import org.apache.spark.sql.hive.HiveContext import org.apache.spark.{SparkConf, SparkContext} +import scala.concurrent.Await import scala.util.Try case class BatchDqProcess(allParam: AllParam) extends DqProcess { @@ -118,6 +123,9 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // finish persist.finish() + // clean data + cleanData(appTime) + // sqlContext.tables().show(50) // clear temp table @@ -134,6 +142,10 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // sqlContext.tables().show(50) } + private def cleanData(t: Long): Unit = { + TempTables.unregisterTempTables(sqlContext, key(t)) + } + def end: Try[_] = Try { sparkContext.stop } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala index 2ae929890..8ee4a9cb0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala @@ -103,7 +103,8 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { dataSources.foreach(_.init) // process thread - val dqThread = StreamingDqThread(dqEngines, dataSources, userParam.evaluateRuleParam, persistFactory, persist) + val dqThread = StreamingDqThread(sqlContext, dqEngines, dataSources, + userParam.evaluateRuleParam, persistFactory, persist) // init data sources // val dsTmsts = dqEngines.loadData(dataSources, appTime) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 1c93f89c3..ca7e616a2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -28,10 +28,14 @@ import org.apache.griffin.measure.data.source.DataSource import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngines +import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.spark.sql.SQLContext -case class StreamingDqThread(dqEngines: DqEngines, +case class StreamingDqThread(sqlContext: SQLContext, + dqEngines: DqEngines, dataSources: Seq[DataSource], evaluateRuleParam: EvaluateRuleParam, persistFactory: PersistFactory, @@ -72,7 +76,7 @@ case class StreamingDqThread(dqEngines: DqEngines, // persist results val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) - println(s"--- timeGroups: ${timeGroups}") +// println(s"--- timeGroups: ${timeGroups}") val rt = new Date().getTime val persistResultTimeStr = s"persist result using time: ${rt - ct} ms" @@ -128,7 +132,7 @@ case class StreamingDqThread(dqEngines: DqEngines, private def cleanData(t: Long): Unit = { try { dataSources.foreach(_.cleanOldData) - dataSources.foreach(_.dropTable(t)) + TempTables.unregisterTempTables(sqlContext, key(t)) val cleanTime = TimeInfoCache.getCleanTime CacheResultProcesser.refresh(cleanTime) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index b3809b780..725a0fc96 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -22,9 +22,11 @@ import java.util.Date import org.apache.griffin.measure.cache.result.CacheResultProcesser import org.apache.griffin.measure.config.params.user.DataSourceParam -import org.apache.griffin.measure.data.connector.GroupByColumn +import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.data.source.{DataSource, DataSourceFactory} import org.apache.griffin.measure.persist.{Persist, PersistFactory} +import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.result.AccuracyResult import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.step._ @@ -46,15 +48,15 @@ case class DataFrameOprEngine(sqlContext: SQLContext) extends SparkDqEngine { ri.rule match { case DataFrameOprs._fromJson => { val df = DataFrameOprs.fromJson(sqlContext, ri) - ri.getNames.foreach(df.registerTempTable(_)) + ri.getNames.foreach(TempTables.registerTempTable(df, key(ti.calcTime), _)) } case DataFrameOprs._accuracy => { val df = DataFrameOprs.accuracy(sqlContext, ti, ri) - ri.getNames.foreach(df.registerTempTable(_)) + ri.getNames.foreach(TempTables.registerTempTable(df, key(ti.calcTime), _)) } case DataFrameOprs._clear => { val df = DataFrameOprs.clear(sqlContext, ri) - ri.getNames.foreach(df.registerTempTable(_)) + ri.getNames.foreach(TempTables.registerTempTable(df, key(ti.calcTime), _)) } case _ => { throw new Exception(s"df opr [ ${ri.rule} ] not supported") @@ -103,13 +105,11 @@ object DataFrameOprs { val _miss = "miss" val _total = "total" val _matched = "matched" -// val _tmst = "tmst" + val dfName = details.getStringOrKey(_dfName) val miss = details.getStringOrKey(_miss) val total = details.getStringOrKey(_total) val matched = details.getStringOrKey(_matched) -// val tmst = details.getOrElse(_tmst, _tmst).toString -// val tmst = GroupByColumn.tmst val updateTime = new Date().getTime diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 09efb8988..71e330fb7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -19,7 +19,7 @@ under the License. package org.apache.griffin.measure.process.engine import org.apache.griffin.measure.config.params.user.DataSourceParam -import org.apache.griffin.measure.data.connector.GroupByColumn +import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.data.source._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 95fa3ae45..e87547ea3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -19,7 +19,7 @@ under the License. package org.apache.griffin.measure.process.engine import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} -import org.apache.griffin.measure.data.connector.GroupByColumn +import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.step._ @@ -68,7 +68,7 @@ trait SparkDqEngine extends DqEngine { } Some((tmst, metrics)) } else { - println(s"empty metrics in table `${metricTmstName}`, not persisted") + info(s"empty metrics in table `${metricTmstName}`, not persisted") None } } catch { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index cc9cda821..00aa31dc4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -21,9 +21,11 @@ package org.apache.griffin.measure.process.engine import java.util.Date import org.apache.griffin.measure.config.params.user.DataSourceParam -import org.apache.griffin.measure.data.connector.GroupByColumn +import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.data.source._ import org.apache.griffin.measure.persist.{Persist, PersistFactory} +import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.JsonUtil @@ -37,10 +39,10 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { def runRuleStep(ruleStep: ConcreteRuleStep): Boolean = { ruleStep match { - case SparkSqlStep(_, ri) => { + case SparkSqlStep(ti, ri) => { try { val rdf = sqlContext.sql(ri.rule) - ri.getNames.foreach(rdf.registerTempTable(_)) + ri.getNames.foreach(TempTables.registerTempTable(rdf, key(ti.calcTime), _)) true } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTableValidator.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTableValidator.scala deleted file mode 100644 index 00f478888..000000000 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTableValidator.scala +++ /dev/null @@ -1,31 +0,0 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.process.temp - -import org.apache.spark.sql.SQLContext - -case class TempTableValidator(sqlContext: SQLContext) { - - def existDataSourceName(name: String): Boolean = { -// sqlContext.tableNames.exists(_ == name) - - TempTables.existTable(name) - } - -} diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala index 1d042c563..95a96c84c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala @@ -19,37 +19,85 @@ under the License. package org.apache.griffin.measure.process.temp import org.apache.griffin.measure.log.Loggable +import org.apache.spark.sql.{DataFrame, SQLContext} -import scala.collection.concurrent.{Map => ConcMap, TrieMap} +import scala.collection.concurrent.{TrieMap, Map => ConcMap} object TempTables extends Loggable { - val tables: ConcMap[Long, Set[String]] = TrieMap[Long, Set[String]]() + val tables: ConcMap[String, Set[String]] = TrieMap[String, Set[String]]() - def registerTable(t: Long, table: String): Unit = { - val set = tables.get(t) match { - case Some(s) => s + table - case _ => Set[String](table) + private def registerTable(key: String, table: String): Unit = { + tables.get(key) match { + case Some(set) => { + val suc = tables.replace(key, set, set + table) + if (!suc) registerTable(key, table) + } + case _ => { + val oldOpt = tables.putIfAbsent(key, Set[String](table)) + if (oldOpt.nonEmpty) registerTable(key, table) + } } - tables.replace(t, set) } - def unregisterTable(t: Long, table: String): Unit = { - tables.get(t).foreach { set => - val nset = set - table - tables.replace(t, nset) + private def unregisterTable(key: String, table: String): Option[String] = { + tables.get(key) match { + case Some(set) => { + val ftb = set.find(_ == table) + ftb match { + case Some(tb) => { + val nset = set - tb + val suc = tables.replace(key, set, nset) + if (suc) Some(tb) + else unregisterTable(key, table) + } + case _ => None + } + } + case _ => None } } - def unregisterTables(t: Long): Unit = { - tables.remove(t) + private def unregisterTables(key: String): Set[String] = { + tables.remove(key) match { + case Some(set) => set + case _ => Set[String]() + } + } + + private def dropTempTable(sqlContext: SQLContext, table: String): Unit = { + try { + sqlContext.dropTempTable(table) + } catch { + case e: Throwable => warn(s"drop temp table ${table} fails") + } + } + + // ----- + + def registerTempTable(df: DataFrame, key: String, table: String): Unit = { + registerTable(key, table) + df.registerTempTable(table) + } + + def unregisterTempTable(sqlContext: SQLContext, key: String, table: String): Unit = { + unregisterTable(key, table).foreach(dropTempTable(sqlContext, _)) } - def existTable(t: Long, table: String): Boolean = { - tables.get(t) match { + def unregisterTempTables(sqlContext: SQLContext, key: String): Unit = { + unregisterTables(key).foreach(dropTempTable(sqlContext, _)) + } + + def existTable(key: String, table: String): Boolean = { + tables.get(key) match { case Some(set) => set.exists(_ == table) case _ => false } } } + +object TempKeys { + def key(t: Long): String = s"${t}" + def key(head: String, t: Long): String = s"${head}_${t}" +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 929d3d951..c65b3a24b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -19,7 +19,9 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} -import org.apache.griffin.measure.data.connector.GroupByColumn +import org.apache.griffin.measure.data.connector.InternalColumns +import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.dsl.analyzer._ @@ -38,7 +40,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val _miss = "miss" val _total = "total" val _matched = "matched" - val _missRecords = "miss.records" + val _missRecords = "missRecords" } object ProfilingKeys { val _source = "source" @@ -55,17 +57,6 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], GriffinDslStep(timeInfo, ruleInfo, dqType) :: Nil } - private def checkDataSourceExists(name: String): Boolean = { - try { - RuleAdaptorGroup.dataChecker.existDataSourceName(name) - } catch { - case e: Throwable => { - error(s"check data source exists error: ${e.getMessage}") - false - } - } - } - def adaptConcreteRuleStep(ruleStep: RuleStep ): Seq[ConcreteRuleStep] = { ruleStep match { @@ -105,6 +96,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], ): Seq[ConcreteRuleStep] = { val timeInfo = ruleStep.timeInfo val ruleInfo = ruleStep.ruleInfo + val calcTime = timeInfo.calcTime val tmst = timeInfo.tmst val details = ruleInfo.details @@ -112,11 +104,11 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) - if (!checkDataSourceExists(sourceName)) { + if (!TempTables.existTable(key(calcTime), sourceName)) { Nil } else { // 1. miss record - val missRecordsSql = if (!checkDataSourceExists(targetName)) { + val missRecordsSql = if (!TempTables.existTable(key(calcTime), targetName)) { val selClause = s"`${sourceName}`.*" s"SELECT ${selClause} FROM `${sourceName}`" } else { @@ -193,105 +185,11 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil } - -// val details = ruleStep.ruleInfo.details -// val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) -// val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) -// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) -// -// val tmsts = dsTmsts.getOrElse(sourceName, Set.empty[Long]) -// -// if (!checkDataSourceExists(sourceName)) { -// Nil -// } else { -// // 1. miss record -// val missRecordsSql = if (!checkDataSourceExists(targetName)) { -// val selClause = s"`${sourceName}`.*" -// s"SELECT ${selClause} FROM `${sourceName}`" -// } else { -// val selClause = s"`${sourceName}`.*" -// val onClause = expr.coalesceDesc -// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val targetIsNull = analyzer.targetSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" -// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" -// } -// val missRecordsName = AccuracyKeys._missRecords -// val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) -// .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) -// val missRecordsStep = SparkSqlStep( -// ruleStep.timeInfo, -// RuleInfo(missRecordsName, missRecordsSql, missRecordsParams) -// ) -// -// val tmstStepsPair = tmsts.map { tmst => -// val timeInfo = TimeInfo(ruleStep.timeInfo.calcTime, tmst) -// -// // 2. miss count -// val missTableName = "_miss_" -// val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) -// val missColName = details.getStringOrKey(AccuracyKeys._miss) -// val missSql = { -// s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" -// } -// val missStep = SparkSqlStep( -// timeInfo, -// RuleInfo(tmstMissTableName, missSql, Map[String, Any]()) -// ) -// -// // 3. total count -// val totalTableName = "_total_" -// val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) -// val totalColName = details.getStringOrKey(AccuracyKeys._total) -// val totalSql = { -// s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" -// } -// val totalStep = SparkSqlStep( -// timeInfo, -// RuleInfo(tmstTotalTableName, totalSql, Map[String, Any]()) -// ) -// -// // 4. accuracy metric -// val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) -// val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) -// val matchedColName = details.getStringOrKey(AccuracyKeys._matched) -// val accuracyMetricSql = { -// s""" -// |SELECT `${tmstMissTableName}`.`${missColName}` AS `${missColName}`, -// |`${tmstTotalTableName}`.`${totalColName}` AS `${totalColName}` -// |FROM `${tmstTotalTableName}` FULL JOIN `${tmstMissTableName}` -// """.stripMargin -// } -// val accuracyMetricStep = SparkSqlStep( -// timeInfo, -// RuleInfo(tmstAccuracyMetricName, accuracyMetricSql, Map[String, Any]()) -// ) -// -// // 5. accuracy metric filter -// val accuracyParams = details.addIfNotExist("df.name", tmstAccuracyMetricName) -// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) -// val accuracyStep = DfOprStep( -// timeInfo, -// RuleInfo(tmstAccuracyMetricName, "accuracy", accuracyParams) -// ) -// -// (missStep :: totalStep :: accuracyMetricStep :: Nil, accuracyStep :: Nil) -// }.foldLeft((Nil: Seq[ConcreteRuleStep], Nil: Seq[ConcreteRuleStep])) { (ret, next) => -// (ret._1 ++ next._1, ret._2 ++ next._2) -// } -// -// missRecordsStep +: (tmstStepsPair._1 ++ tmstStepsPair._2) -// } } private def transProfilingRuleStep(ruleStep: GriffinDslStep, expr: Expr ): Seq[ConcreteRuleStep] = { + val calcTime = ruleStep.timeInfo.calcTime val details = ruleStep.ruleInfo.details val profilingClause = expr.asInstanceOf[ProfilingClause] val sourceName = profilingClause.fromClauseOpt match { @@ -300,9 +198,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc -// if (!checkDataSourceExists(sourceName)) { - if (false) { - println(s"not exist source name: ${sourceName}") + if (!TempTables.existTable(key(calcTime), sourceName)) { Nil } else { val timeInfo = ruleStep.timeInfo @@ -329,16 +225,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val preGroupbyClause = tmstAnalyzer.preGroupbyExprs.map(_.desc).mkString(" ") val postGroupbyClause = tmstAnalyzer.postGroupbyExprs.map(_.desc).mkString(" ") - // 1. where statement -// val filterSql = { -// s"SELECT * ${fromClause} WHERE `${GroupByColumn.tmst}` = ${tmst}" -// } -// val filterStep = SparkSqlStep( -// timeInfo, -// RuleInfo(tmstSourceName, filterSql, Map[String, Any]()) -// ) - - // 2. select statement + // 1. select statement val profilingSql = { s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 6a0ac80f0..1aedd2ee6 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -20,9 +20,8 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.TempName import org.apache.griffin.measure.config.params.user._ -import org.apache.griffin.measure.data.connector.GroupByColumn +import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.process.ProcessType -import org.apache.griffin.measure.process.temp.TempTableValidator import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.step._ import org.apache.spark.sql.SQLContext @@ -39,16 +38,12 @@ object RuleAdaptorGroup { var baselineDsName: String = "" - var dataChecker: TempTableValidator = _ - def init(sqlContext: SQLContext, dsNames: Seq[String], blDsName: String): Unit = { val functions = sqlContext.sql("show functions") functionNames = functions.map(_.getString(0)).collect.toSeq dataSourceNames = dsNames baselineDsName = blDsName - - dataChecker = TempTableValidator(sqlContext) } private def getDslType(param: Map[String, Any], defDslType: DslType) = { @@ -152,7 +147,7 @@ object RuleAdaptorGroup { val TimeInfo(calcTime, tmst) = timeInfo val tmstDsName = TempName.tmstName(baselineDsName, calcTime) val filterSql = { - s"SELECT * FROM `${tmstDsName}` WHERE `${GroupByColumn.tmst}` = ${tmst}" + s"SELECT * FROM `${tmstDsName}` WHERE `${InternalColumns.tmst}` = ${tmst}" } SparkSqlStep( timeInfo, diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index 309463662..781c2874f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -19,7 +19,7 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.TempName -import org.apache.griffin.measure.data.connector.GroupByColumn +import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.rule.dsl.MetricPersistType import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.ParamUtil._ diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index 69f63beed..0a91fab7e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -27,7 +27,7 @@ object HdfsUtil extends Loggable { private val seprator = "/" private val conf = new Configuration() - conf.set("dfs.support.append", "true") + conf.setBoolean("dfs.support.append", true) conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) @@ -54,7 +54,9 @@ object HdfsUtil extends Loggable { def appendOrCreateFile(filePath: String): FSDataOutputStream = { val path = new Path(filePath) - if (dfs.exists(path)) dfs.append(path) else createFile(filePath) + if (dfs.getConf.getBoolean("dfs.support.append", false) && dfs.exists(path)) { + dfs.append(path) + } else createFile(filePath) } def openFile(filePath: String): FSDataInputStream = { diff --git a/measure/src/test/resources/config-test-accuracy-new.json b/measure/src/test/resources/config-test-accuracy-new.json index d0889d1e5..80d608b00 100644 --- a/measure/src/test/resources/config-test-accuracy-new.json +++ b/measure/src/test/resources/config-test-accuracy-new.json @@ -25,7 +25,7 @@ "type": "avro", "version": "1.7", "config": { - "file.name": "src/test/resources/users_info_target.avro1" + "file.name": "src/test/resources/users_info_target.avro" } } ] @@ -46,7 +46,7 @@ "miss": "miss_count", "total": "total_count", "matched": "matched_count", - "miss.records": { + "missRecords": { "persist.type": "record" } } diff --git a/measure/src/test/resources/config-test-accuracy-streaming-new.json b/measure/src/test/resources/config-test-accuracy-streaming-new.json index 25bd15713..1e53d422f 100644 --- a/measure/src/test/resources/config-test-accuracy-streaming-new.json +++ b/measure/src/test/resources/config-test-accuracy-streaming-new.json @@ -59,7 +59,7 @@ "auto.offset.reset": "smallest", "auto.commit.enable": "false" }, - "topics": "ttt1", + "topics": "ttt", "key.type": "java.lang.String", "value.type": "java.lang.String" }, @@ -104,8 +104,8 @@ "miss": "miss_count", "total": "total_count", "matched": "matched_count", - "miss.records": { - "persist.name": "miss.records", + "missRecords": { + "persist.name": "missRecords", "persist.type": "record", "cache.data.source": "source" } diff --git a/measure/src/test/resources/config-test-accuracy-streaming-new2.json b/measure/src/test/resources/config-test-accuracy-streaming-new2.json new file mode 100644 index 000000000..feb49e7b2 --- /dev/null +++ b/measure/src/test/resources/config-test-accuracy-streaming-new2.json @@ -0,0 +1,133 @@ +{ + "name": "accu_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + }, { + "name": "target", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "ttt", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${t1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${t1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/target", + "info.path": "target", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "missRecords", + "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.name, '') = coalesce(target.name, '') AND coalesce(source.age, '') = coalesce(target.age, '') WHERE (NOT (source.name IS NULL AND source.age IS NULL)) AND (target.name IS NULL AND target.age IS NULL)", + "details": { + "persist.type": "record", + "cache.data.source": "source" + } + }, + { + "dsl.type": "spark-sql", + "name": "miss_count", + "rule": "SELECT count(*) as miss FROM `missRecords`" + }, + { + "dsl.type": "spark-sql", + "name": "total_count", + "rule": "SELECT count(*) as total FROM source" + }, + { + "dsl.type": "spark-sql", + "name": "accu", + "rule": "SELECT `miss_count`.miss, `total_count`.total FROM `miss_count` FULL JOIN `total_count`" + }, + { + "dsl.type": "df-opr", + "name": "accu", + "rule": "accuracy", + "details": { + "persist.type": "metric", + "df.name": "accu", + "miss": "miss", + "total": "total", + "matched": "matched_count" + } + } + ] + } +} \ No newline at end of file From ce4558d17f15cf370ab36f707801919fb2939ddc Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 14 Dec 2017 10:04:53 +0800 Subject: [PATCH 062/177] enable ignore cache for accuracy opr --- .../measure/data/source/DataSourceCache.scala | 19 +++++---- .../process/engine/DataFrameOprEngine.scala | 40 ++++++++++++++----- .../measure/process/engine/DqEngines.scala | 9 ++++- .../measure/result/AccuracyResult.scala | 4 ++ .../measure/result/ProfileResult.scala | 4 ++ .../griffin/measure/result/Result.scala | 2 + .../griffin/measure/utils/ParamUtil.scala | 1 + .../config-test-accuracy-streaming-new.json | 3 +- 8 files changed, 63 insertions(+), 19 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala index 05480575f..3685a5c2b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala @@ -153,7 +153,6 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], (dfOpt, tmstSet) } - // -- deprecated -- def updateData(df: DataFrame, ms: Long): Unit = { val ptns = getPartition(ms) val ptnsPath = genPartitionHdfsPath(ptns) @@ -176,7 +175,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], println(s"update file path: ${dataFilePath}") } else { clearTmst(ms) - println(s"clear data source timestamp: ${ms}") + println(s"data source [${metricName}] timestamp [${ms}] cleared") } } catch { case e: Throwable => error(s"update data error: ${e.getMessage}") @@ -198,10 +197,13 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], println(s"remove file path: ${dirPath}/${dataFileName}") // save updated data - val dumped = if (cnt > 0) { + if (cnt > 0) { HdfsFileDumpUtil.dump(dataFilePath, rdd, rowSepLiteral) println(s"update file path: ${dataFilePath}") - } else false + } else { + clearTmst(ms) + println(s"data source [${metricName}] timestamp [${ms}] cleared") + } } catch { case e: Throwable => error(s"update data error: ${e.getMessage}") } finally { @@ -224,10 +226,13 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], println(s"remove file path: ${dirPath}/${dataFileName}") // save updated data - val dumped = if (needSave) { + if (needSave) { HdfsFileDumpUtil.dump(dataFilePath, rdd, rowSepLiteral) println(s"update file path: ${dataFilePath}") - } else false + } else { + clearTmst(ms) + println(s"data source [${metricName}] timestamp [${ms}] cleared") + } } catch { case e: Throwable => error(s"update data error: ${e.getMessage}") } @@ -254,7 +259,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], val cleanTime = readCleanTime() cleanTime match { case Some(ct) => { - println(s"clear timestamps before ${ct}") + println(s"data source [${metricName}] old timestamps clear until [${ct}]") // clear out date tmsts clearTmstsUntil(ct) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index 725a0fc96..cae7ad34b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -32,7 +32,7 @@ import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD -import org.apache.spark.sql.types.{LongType, StringType, StructField, StructType} +import org.apache.spark.sql.types._ import org.apache.spark.sql.{DataFrame, Row, SQLContext} import org.apache.spark.streaming.StreamingContext import org.apache.griffin.measure.utils.ParamUtil._ @@ -111,6 +111,9 @@ object DataFrameOprs { val total = details.getStringOrKey(_total) val matched = details.getStringOrKey(_matched) + val _enableIgnoreCache = "enable.ignore.cache" + val enableIgnoreCache = details.getBoolean(_enableIgnoreCache, false) + val updateTime = new Date().getTime def getLong(r: Row, k: String): Long = { @@ -139,19 +142,36 @@ object DataFrameOprs { updatedCacheResultOpt } - // update + // update results updateResults.foreach { r => CacheResultProcesser.update(r) } - val schema = StructType(Array( - StructField(miss, LongType), - StructField(total, LongType), - StructField(matched, LongType) - )) - val rows = updateResults.map { r => - val ar = r.result.asInstanceOf[AccuracyResult] - Row(ar.miss, ar.total, ar.getMatch) + // generate metrics + val schema = if (enableIgnoreCache) { + StructType(Array( + StructField(miss, LongType), + StructField(total, LongType), + StructField(matched, LongType), + StructField(InternalColumns.ignoreCache, BooleanType) + )) + } else { + StructType(Array( + StructField(miss, LongType), + StructField(total, LongType), + StructField(matched, LongType) + )) + } + val rows = if (enableIgnoreCache) { + updateResults.map { r => + val ar = r.result.asInstanceOf[AccuracyResult] + Row(ar.miss, ar.total, ar.getMatch, ar.initial) + } + } else { + updateResults.map { r => + val ar = r.result.asInstanceOf[AccuracyResult] + Row(ar.miss, ar.total, ar.getMatch) + } } val rowRdd = sqlContext.sparkContext.parallelize(rows) sqlContext.createDataFrame(rowRdd, schema) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 71e330fb7..3d19b059b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -59,12 +59,19 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } } - val updateTimeGroups = allMetrics.keys allMetrics.foreach { pair => val (t, metric) = pair val persist = persistFactory.getPersists(t) persist.persistMetrics(metric) } +// val updateTimeGroups = allMetrics.keys + val updateTimeGroups = allMetrics.flatMap { pair => + val (t, metric) = pair + metric.get(InternalColumns.ignoreCache) match { + case Some(true) => None + case _ => Some(t) + } + } updateTimeGroups } diff --git a/measure/src/main/scala/org/apache/griffin/measure/result/AccuracyResult.scala b/measure/src/main/scala/org/apache/griffin/measure/result/AccuracyResult.scala index af079b038..7b75043d8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/result/AccuracyResult.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/result/AccuracyResult.scala @@ -29,6 +29,10 @@ case class AccuracyResult(miss: Long, total: Long) extends Result { AccuracyResult(delta.miss, total) } + def initial(): Boolean = { + getMatch <= 0 + } + def eventual(): Boolean = { this.miss <= 0 } diff --git a/measure/src/main/scala/org/apache/griffin/measure/result/ProfileResult.scala b/measure/src/main/scala/org/apache/griffin/measure/result/ProfileResult.scala index 803416ecf..c90e0957f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/result/ProfileResult.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/result/ProfileResult.scala @@ -27,6 +27,10 @@ case class ProfileResult(matchCount: Long, totalCount: Long) extends Result { ProfileResult(matchCount + delta.matchCount, totalCount) } + def initial(): Boolean = { + this.matchCount <= 0 + } + def eventual(): Boolean = { this.matchCount >= totalCount } diff --git a/measure/src/main/scala/org/apache/griffin/measure/result/Result.scala b/measure/src/main/scala/org/apache/griffin/measure/result/Result.scala index 6c7ac4ce9..caf6d9682 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/result/Result.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/result/Result.scala @@ -27,6 +27,8 @@ trait Result extends Serializable { def update(delta: T): T + def initial(): Boolean + def eventual(): Boolean def differsFrom(other: T): Boolean diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala index 790f8ad60..485211b64 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala @@ -155,6 +155,7 @@ object ParamUtil { try { params.get(key) match { case Some(v: String) => v.toBoolean + case Some(v: Boolean) => v case _ => defValue } } catch { diff --git a/measure/src/test/resources/config-test-accuracy-streaming-new.json b/measure/src/test/resources/config-test-accuracy-streaming-new.json index 1e53d422f..66f108164 100644 --- a/measure/src/test/resources/config-test-accuracy-streaming-new.json +++ b/measure/src/test/resources/config-test-accuracy-streaming-new.json @@ -108,7 +108,8 @@ "persist.name": "missRecords", "persist.type": "record", "cache.data.source": "source" - } + }, + "enable.ignore.cache": true } } ] From ff5797f627058f81da5135cc0a70c01e0870b98b Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 14 Dec 2017 10:19:32 +0800 Subject: [PATCH 063/177] clear metrics internal columns --- .../measure/data/connector/DataConnector.scala | 6 ++++++ .../measure/process/engine/DqEngines.scala | 18 ++++++++++++------ 2 files changed, 18 insertions(+), 6 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index de66fd074..9270d8190 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -132,4 +132,10 @@ object DataConnectorIdGenerator { object InternalColumns { val tmst = "__tmst" val ignoreCache = "__ignoreCache" + + val columns = List[String](tmst, ignoreCache) + + def clearInternalColumns(v: Map[String, Any]): Map[String, Any] = { + v -- columns + } } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 3d19b059b..3eae0b79f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -59,12 +59,7 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } } - allMetrics.foreach { pair => - val (t, metric) = pair - val persist = persistFactory.getPersists(t) - persist.persistMetrics(metric) - } -// val updateTimeGroups = allMetrics.keys + val updateTimeGroups = allMetrics.flatMap { pair => val (t, metric) = pair metric.get(InternalColumns.ignoreCache) match { @@ -72,6 +67,17 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { case _ => Some(t) } } + + val persistMetrics = allMetrics.mapValues { metric => + InternalColumns.clearInternalColumns(metric) + } + + persistMetrics.foreach { pair => + val (t, metric) = pair + val persist = persistFactory.getPersists(t) + persist.persistMetrics(metric) + } + updateTimeGroups } From 651cf3e8ffebe8e2981e0c993f4f9d1f00457878 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 14 Dec 2017 11:16:28 +0800 Subject: [PATCH 064/177] hdfs --- .../main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index 0a91fab7e..aa5643b87 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.setBoolean("dfs.support.append", true) - conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost +// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) From f3e81b1261b00fc09c9b1703662c26b9ec969c08 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 15 Dec 2017 14:19:42 +0800 Subject: [PATCH 065/177] not done --- .../rule/adaptor/GriffinDslAdaptor.scala | 117 ++++++++++++++++++ .../measure/rule/adaptor/RuleAdaptor.scala | 17 ++- .../griffin/measure/rule/step/RuleStep.scala | 14 ++- .../resources/config-test-accuracy-new2.json | 1 + .../rule/adaptor/GriffinDslAdaptorTest.scala | 1 - 5 files changed, 135 insertions(+), 15 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index c65b3a24b..68251f371 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -51,6 +51,123 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val parser = GriffinDslParser(dataSourceNames, filteredFunctionNames) + override def genRuleInfos(param: Map[String, Any]): Seq[RuleInfo] = { + val ruleInfo = RuleInfoGen(param) + val dqType = RuleInfoGen.dqType(param) + try { + val result = parser.parseRule(ruleInfo.rule, dqType) + if (result.successful) { + val expr = result.get + dqType match { + case AccuracyType => accuracyRuleInfos(ruleInfo, expr) + case ProfilingType => profilingRuleInfos(ruleInfo, expr) + case TimelinessType => Nil + case _ => Nil + } + } else { + warn(s"parse rule [ ${ruleInfo.rule} ] fails: \n${result}") + Nil + } + } catch { + case e: Throwable => { + error(s"generate rule info ${ruleInfo} fails: ${e.getMessage}") + Nil + } + } + } + + private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr): Seq[RuleInfo] = { + val details = ruleInfo.details + val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) + val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) + val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) + + if (!TempTables.existTable(key(calcTime), sourceName)) { + Nil + } else { + // 1. miss record + val missRecordsSql = if (!TempTables.existTable(key(calcTime), targetName)) { + val selClause = s"`${sourceName}`.*" + s"SELECT ${selClause} FROM `${sourceName}`" + } else { + val selClause = s"`${sourceName}`.*" + val onClause = expr.coalesceDesc + val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => + s"${sel.desc} IS NULL" + }.mkString(" AND ") + val targetIsNull = analyzer.targetSelectionExprs.map { sel => + s"${sel.desc} IS NULL" + }.mkString(" AND ") + val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" + s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" + } + val missRecordsName = AccuracyKeys._missRecords + val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) + val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) + .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) + .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) + val missRecordsStep = SparkSqlStep( + timeInfo, + RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) + ) + + // 2. miss count + val missTableName = "_miss_" + // val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) + val missColName = details.getStringOrKey(AccuracyKeys._miss) + val missSql = { + s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" + } + val missStep = SparkSqlStep( + timeInfo, + RuleInfo(missTableName, None, missSql, Map[String, Any]()) + ) + + // 3. total count + val totalTableName = "_total_" + // val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) + val totalColName = details.getStringOrKey(AccuracyKeys._total) + val totalSql = { + s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + } + val totalStep = SparkSqlStep( + timeInfo, + RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) + ) + + // 4. accuracy metric + val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) + val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) + val matchedColName = details.getStringOrKey(AccuracyKeys._matched) + val accuracyMetricSql = { + s""" + |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, + |`${totalTableName}`.`${totalColName}` AS `${totalColName}` + |FROM `${totalTableName}` FULL JOIN `${missTableName}` + """.stripMargin + } + // val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) + val accuracyMetricStep = SparkSqlStep( + timeInfo, + RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, Map[String, Any]()) + ) + + // 5. accuracy metric filter + val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) + .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) + .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) + val accuracyStep = DfOprStep( + timeInfo, + RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), "accuracy", accuracyParams) + ) + + missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil + } + } + private def profilingRuleInfos(ruleInfo: RuleInfo, expr: Expr): Seq[RuleInfo] = { + ; + } + def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { val ruleInfo = RuleInfoGen(param, timeInfo) val dqType = RuleInfoGen.dqType(param) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index 71a52e2fc..e78bc2016 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -32,7 +32,7 @@ trait RuleAdaptor extends Loggable with Serializable { // val adaptPhase: AdaptPhase - protected def genRuleInfo(param: Map[String, Any]): RuleInfo = RuleInfoGen(param) +// protected def genRuleInfo(param: Map[String, Any]): RuleInfo = RuleInfoGen(param) // protected def getName(param: Map[String, Any]) = param.getOrElse(_name, RuleStepNameGenerator.genName).toString // protected def getRule(param: Map[String, Any]) = param.getOrElse(_rule, "").toString @@ -52,6 +52,8 @@ trait RuleAdaptor extends Loggable with Serializable { } } + protected def genRuleInfos(param: Map[String, Any]): Seq[RuleInfo] = RuleInfoGen(param) :: Nil + } object RuleInfoKeys { @@ -61,6 +63,7 @@ object RuleInfoKeys { val _dslType = "dsl.type" val _dqType = "dq.type" + val _gatherStep = "gather.step" } import RuleInfoKeys._ import org.apache.griffin.measure.utils.ParamUtil._ @@ -72,19 +75,15 @@ object RuleInfoGen { name, None, param.getString(_rule, ""), - param.getParamMap(_details) + param.getParamMap(_details), + param.getBoolean(_gatherStep, false) ) } def apply(param: Map[String, Any], timeInfo: TimeInfo): RuleInfo = { val name = param.getString(_name, RuleStepNameGenerator.genName) - val tmstName = TempName.tmstName(name, timeInfo) - val ri = RuleInfo( - name, - None, - param.getString(_rule, ""), - param.getParamMap(_details) - ) + val ri = apply(param) if (ri.persistType.needPersist) { + val tmstName = TempName.tmstName(name, timeInfo) ri.setTmstNameOpt(Some(tmstName)) } else ri } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala index c9450ccd6..b94cd83a8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala @@ -45,7 +45,8 @@ object RuleDetailKeys { import RuleDetailKeys._ import org.apache.griffin.measure.utils.ParamUtil._ -case class RuleInfo(name: String, tmstNameOpt: Option[String], rule: String, details: Map[String, Any]) { +case class RuleInfo(name: String, tmstNameOpt: Option[String], rule: String, + details: Map[String, Any], gather: Boolean) { val persistName = details.getString(_persistName, name) val persistType = PersistType(details.getString(_persistType, "")) @@ -53,16 +54,19 @@ case class RuleInfo(name: String, tmstNameOpt: Option[String], rule: String, det val cacheDataSourceOpt = details.get(_cacheDataSource).map(_.toString) def setName(n: String): RuleInfo = { - RuleInfo(n, tmstNameOpt, rule, details) + RuleInfo(n, tmstNameOpt, rule, details, gather) } def setTmstNameOpt(tnOpt: Option[String]): RuleInfo = { - RuleInfo(name, tnOpt, rule, details) + RuleInfo(name, tnOpt, rule, details, gather) } def setRule(r: String): RuleInfo = { - RuleInfo(name, tmstNameOpt, r, details) + RuleInfo(name, tmstNameOpt, r, details, gather) } def setDetails(d: Map[String, Any]): RuleInfo = { - RuleInfo(name, tmstNameOpt, rule, d) + RuleInfo(name, tmstNameOpt, rule, d, gather) + } + def setGather(g: Boolean): RuleInfo = { + RuleInfo(name, tmstNameOpt, rule, details, g) } def getNames: Seq[String] = { diff --git a/measure/src/test/resources/config-test-accuracy-new2.json b/measure/src/test/resources/config-test-accuracy-new2.json index 68fd96493..29fba1e80 100644 --- a/measure/src/test/resources/config-test-accuracy-new2.json +++ b/measure/src/test/resources/config-test-accuracy-new2.json @@ -37,6 +37,7 @@ { "dsl.type": "spark-sql", "name": "miss-records", + "gather.step": true, "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.user_id, '') = coalesce(target.user_id, '') AND coalesce(source.first_name, '') = coalesce(target.first_name, '') AND coalesce(source.post_code, '') = coalesce(target.post_code, '') WHERE (NOT (source.user_id IS NULL AND source.user_id IS NULL AND source.post_code IS NULL)) AND (target.user_id IS NULL AND target.user_id IS NULL AND target.post_code IS NULL)", "details": { "persist.type": "record" diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 4b2894ea8..cdb0a5c74 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -19,7 +19,6 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process._ -import org.apache.griffin.measure.process.temp.TempTableValidator import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.junit.runner.RunWith From 08bd2242b7db577c902932a0894d133ffc9551ff Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 18 Dec 2017 13:25:03 +0800 Subject: [PATCH 066/177] optimize accuracy --- .../data/connector/DataConnector.scala | 24 +- .../measure/process/BatchDqProcess.scala | 2 + .../measure/process/temp/TempTables.scala | 4 + .../rule/adaptor/DataFrameOprAdaptor.scala | 86 ++-- .../rule/adaptor/GriffinDslAdaptor.scala | 459 ++++++++++-------- .../measure/rule/adaptor/RuleAdaptor.scala | 44 +- .../rule/adaptor/RuleAdaptorGroup.scala | 151 +++++- .../rule/adaptor/SparkSqlAdaptor.scala | 80 +-- .../griffin/measure/rule/step/RuleStep.scala | 17 +- .../rule/adaptor/GriffinDslAdaptorTest.scala | 14 +- .../rule/adaptor/RuleAdaptorGroupTest.scala | 69 +++ .../rule/adaptor/SparkSqlAdaptorTest.scala | 50 +- 12 files changed, 625 insertions(+), 375 deletions(-) create mode 100644 measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 9270d8190..36bc9b687 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -42,7 +42,7 @@ trait DataConnector extends Loggable with Serializable { var tmstCache: TmstCache = _ protected def saveTmst(t: Long) = tmstCache.insert(t) - protected def readTmst(t: Long) = tmstCache.range(t, t + 1) + protected def readTmst(t: Long) = tmstCache.range(t, t + 20) def init(): Unit @@ -94,16 +94,20 @@ trait DataConnector extends Loggable with Serializable { // } // } - // add tmst - val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) -// val withTmstDf1 = outDf.withColumn(tmstColName, lit(ms + 1)).limit(48) - - // tmst cache - saveTmst(ms) -// saveTmst(ms + 1) + val range = if (id == "dc1") (0 until 20).toList else (0 until 1).toList + val withTmstDfs = range.map { i => + saveTmst(ms + i) + outDf.withColumn(tmstColName, lit(ms + i)).limit(49 - i) + } + Some(withTmstDfs.reduce(_ unionAll _)) - Some(withTmstDf) -// Some(withTmstDf unionAll withTmstDf1) + // add tmst +// val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) +// +// // tmst cache +// saveTmst(ms) +// +// Some(withTmstDf) } } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index e2de1c973..5e31fa6b1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -102,6 +102,8 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { val ruleSteps = RuleAdaptorGroup.genRuleSteps( TimeInfo(appTime, appTime), userParam.evaluateRuleParam, dsTmsts) +// ruleSteps.foreach(println) + // run rules dqEngines.runRuleSteps(ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala index 95a96c84c..a10c66336 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala @@ -80,6 +80,10 @@ object TempTables extends Loggable { df.registerTempTable(table) } + def registerTempTableNameOnly(key: String, table: String): Unit = { + registerTable(key, table) + } + def unregisterTempTable(sqlContext: SQLContext, key: String, table: String): Unit = { unregisterTable(key, table).foreach(dropTempTable(sqlContext, _)) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 0e931a1ce..43dfe70a3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -1,46 +1,46 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.rule.adaptor - -import org.apache.griffin.measure.process.ProcessType -import org.apache.griffin.measure.rule.step._ - -case class DataFrameOprAdaptor() extends RuleAdaptor { - - def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { - val ruleInfo = RuleInfoGen(param, timeInfo) - DfOprStep(timeInfo, ruleInfo) :: Nil -// DfOprStep(getName(param), getRule(param), getDetails(param), -// getPersistType(param), getUpdateDataSource(param)) :: Nil - } - def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] = { - ruleStep match { - case rs @ DfOprStep(_, _) => rs :: Nil - case _ => Nil - } - } - -// def getTempSourceNames(param: Map[String, Any]): Seq[String] = { -// param.get(_name) match { -// case Some(name) => name.toString :: Nil +///* +//Licensed to the Apache Software Foundation (ASF) under one +//or more contributor license agreements. See the NOTICE file +//distributed with this work for additional information +//regarding copyright ownership. The ASF licenses this file +//to you under the Apache License, Version 2.0 (the +//"License"); you may not use this file except in compliance +//with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +//Unless required by applicable law or agreed to in writing, +//software distributed under the License is distributed on an +//"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +//KIND, either express or implied. See the License for the +//specific language governing permissions and limitations +//under the License. +//*/ +//package org.apache.griffin.measure.rule.adaptor +// +//import org.apache.griffin.measure.process.ProcessType +//import org.apache.griffin.measure.rule.step._ +// +//case class DataFrameOprAdaptor() extends RuleAdaptor { +// +// def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { +// val ruleInfo = RuleInfoGen(param, timeInfo) +// DfOprStep(timeInfo, ruleInfo) :: Nil +//// DfOprStep(getName(param), getRule(param), getDetails(param), +//// getPersistType(param), getUpdateDataSource(param)) :: Nil +// } +// def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] = { +// ruleStep match { +// case rs @ DfOprStep(_, _) => rs :: Nil // case _ => Nil // } // } - -} +// +//// def getTempSourceNames(param: Map[String, Any]): Seq[String] = { +//// param.get(_name) match { +//// case Some(name) => name.toString :: Nil +//// case _ => Nil +//// } +//// } +// +//} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 68251f371..bea90ac80 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -51,7 +51,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val parser = GriffinDslParser(dataSourceNames, filteredFunctionNames) - override def genRuleInfos(param: Map[String, Any]): Seq[RuleInfo] = { + override def genRuleInfos(param: Map[String, Any], calcTime: Long): Seq[RuleInfo] = { val ruleInfo = RuleInfoGen(param) val dqType = RuleInfoGen.dqType(param) try { @@ -59,8 +59,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], if (result.successful) { val expr = result.get dqType match { - case AccuracyType => accuracyRuleInfos(ruleInfo, expr) - case ProfilingType => profilingRuleInfos(ruleInfo, expr) + case AccuracyType => accuracyRuleInfos(ruleInfo, expr, calcTime) + case ProfilingType => profilingRuleInfos(ruleInfo, expr, calcTime) case TimelinessType => Nil case _ => Nil } @@ -76,7 +76,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr): Seq[RuleInfo] = { + private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr, calcTime: Long): Seq[RuleInfo] = { val details = ruleInfo.details val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) @@ -102,14 +102,16 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" } val missRecordsName = AccuracyKeys._missRecords - val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) +// val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) - val missRecordsStep = SparkSqlStep( - timeInfo, - RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) - ) + val missRecordsRuleInfo = RuleInfo(missRecordsName, None, SparkSqlType, + missRecordsSql, missRecordsParams, true) +// val missRecordsStep = SparkSqlStep( +// timeInfo, +// RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) +// ) // 2. miss count val missTableName = "_miss_" @@ -118,10 +120,12 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val missSql = { s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" } - val missStep = SparkSqlStep( - timeInfo, - RuleInfo(missTableName, None, missSql, Map[String, Any]()) - ) + val missRuleInfo = RuleInfo(missTableName, None, SparkSqlType, + missSql, Map[String, Any](), false) +// val missStep = SparkSqlStep( +// timeInfo, +// RuleInfo(missTableName, None, missSql, Map[String, Any]()) +// ) // 3. total count val totalTableName = "_total_" @@ -130,14 +134,16 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val totalSql = { s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" } - val totalStep = SparkSqlStep( - timeInfo, - RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) - ) + val totalRuleInfo = RuleInfo(totalTableName, None, SparkSqlType, + totalSql, Map[String, Any](), false) +// val totalStep = SparkSqlStep( +// timeInfo, +// RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) +// ) // 4. accuracy metric - val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) - val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) + val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleInfo.name) +// val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) val matchedColName = details.getStringOrKey(AccuracyKeys._matched) val accuracyMetricSql = { s""" @@ -147,167 +153,30 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], """.stripMargin } // val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) - val accuracyMetricStep = SparkSqlStep( - timeInfo, - RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, Map[String, Any]()) - ) + val accuracyMetricRuleInfo = RuleInfo(accuracyMetricName, None, SparkSqlType, + accuracyMetricSql, Map[String, Any](), false) +// val accuracyMetricStep = SparkSqlStep( +// timeInfo, +// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, Map[String, Any]()) +// ) // 5. accuracy metric filter val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) - val accuracyStep = DfOprStep( - timeInfo, - RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), "accuracy", accuracyParams) - ) - - missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil + val accuracyRuleInfo = RuleInfo(accuracyMetricName, None, DfOprType, + "accuracy", accuracyParams, false) +// val accuracyStep = DfOprStep( +// timeInfo, +// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), "accuracy", accuracyParams) +// ) + + missRecordsRuleInfo :: missRuleInfo :: totalRuleInfo :: + accuracyMetricRuleInfo :: accuracyRuleInfo :: Nil } } - private def profilingRuleInfos(ruleInfo: RuleInfo, expr: Expr): Seq[RuleInfo] = { - ; - } - - def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { - val ruleInfo = RuleInfoGen(param, timeInfo) - val dqType = RuleInfoGen.dqType(param) - GriffinDslStep(timeInfo, ruleInfo, dqType) :: Nil - } - - def adaptConcreteRuleStep(ruleStep: RuleStep - ): Seq[ConcreteRuleStep] = { - ruleStep match { - case rs @ GriffinDslStep(_, ri, dqType) => { - try { - val result = parser.parseRule(ri.rule, dqType) - if (result.successful) { - val expr = result.get - transConcreteRuleStep(rs, expr) - } else { - println(result) - warn(s"adapt concrete rule step warn: parse rule [ ${ri.rule} ] fails") - Nil - } - } catch { - case e: Throwable => { - error(s"adapt concrete rule step error: ${e.getMessage}") - Nil - } - } - } - case _ => Nil - } - } - - private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr - ): Seq[ConcreteRuleStep] = { - ruleStep.dqType match { - case AccuracyType => transAccuracyRuleStep(ruleStep, expr) - case ProfilingType => transProfilingRuleStep(ruleStep, expr) - case TimelinessType => Nil - case _ => Nil - } - } - - private def transAccuracyRuleStep(ruleStep: GriffinDslStep, expr: Expr - ): Seq[ConcreteRuleStep] = { - val timeInfo = ruleStep.timeInfo - val ruleInfo = ruleStep.ruleInfo - val calcTime = timeInfo.calcTime - val tmst = timeInfo.tmst - + private def profilingRuleInfos(ruleInfo: RuleInfo, expr: Expr, calcTime: Long): Seq[RuleInfo] = { val details = ruleInfo.details - val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) - val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) - val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) - - if (!TempTables.existTable(key(calcTime), sourceName)) { - Nil - } else { - // 1. miss record - val missRecordsSql = if (!TempTables.existTable(key(calcTime), targetName)) { - val selClause = s"`${sourceName}`.*" - s"SELECT ${selClause} FROM `${sourceName}`" - } else { - val selClause = s"`${sourceName}`.*" - val onClause = expr.coalesceDesc - val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => - s"${sel.desc} IS NULL" - }.mkString(" AND ") - val targetIsNull = analyzer.targetSelectionExprs.map { sel => - s"${sel.desc} IS NULL" - }.mkString(" AND ") - val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" - s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" - } - val missRecordsName = AccuracyKeys._missRecords - val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) - val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) - .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) - .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) - val missRecordsStep = SparkSqlStep( - timeInfo, - RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) - ) - - // 2. miss count - val missTableName = "_miss_" -// val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) - val missColName = details.getStringOrKey(AccuracyKeys._miss) - val missSql = { - s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" - } - val missStep = SparkSqlStep( - timeInfo, - RuleInfo(missTableName, None, missSql, Map[String, Any]()) - ) - - // 3. total count - val totalTableName = "_total_" -// val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) - val totalColName = details.getStringOrKey(AccuracyKeys._total) - val totalSql = { - s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" - } - val totalStep = SparkSqlStep( - timeInfo, - RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) - ) - - // 4. accuracy metric - val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) - val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) - val matchedColName = details.getStringOrKey(AccuracyKeys._matched) - val accuracyMetricSql = { - s""" - |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, - |`${totalTableName}`.`${totalColName}` AS `${totalColName}` - |FROM `${totalTableName}` FULL JOIN `${missTableName}` - """.stripMargin - } -// val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) - val accuracyMetricStep = SparkSqlStep( - timeInfo, - RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, Map[String, Any]()) - ) - - // 5. accuracy metric filter - val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) - .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) - .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) - val accuracyStep = DfOprStep( - timeInfo, - RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), "accuracy", accuracyParams) - ) - - missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil - } - } - - private def transProfilingRuleStep(ruleStep: GriffinDslStep, expr: Expr - ): Seq[ConcreteRuleStep] = { - val calcTime = ruleStep.timeInfo.calcTime - val details = ruleStep.ruleInfo.details val profilingClause = expr.asInstanceOf[ProfilingClause] val sourceName = profilingClause.fromClauseOpt match { case Some(fc) => fc.dataSource @@ -318,13 +187,6 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], if (!TempTables.existTable(key(calcTime), sourceName)) { Nil } else { - val timeInfo = ruleStep.timeInfo - val ruleInfo = ruleStep.ruleInfo - val tmst = timeInfo.tmst - -// val tmstSourceName = TempName.tmstName(sourceName, timeInfo) - -// val tmstProfilingClause = profilingClause.map(dsHeadReplace(sourceName, tmstSourceName)) val tmstAnalyzer = ProfilingAnalyzer(profilingClause, sourceName) val selExprDescs = tmstAnalyzer.selectionExprs.map { sel => @@ -346,32 +208,227 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val profilingSql = { s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" } -// println(profilingSql) - val metricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) -// val tmstMetricName = TempName.tmstName(metricName, timeInfo) + // println(profilingSql) + val metricName = details.getString(RuleDetailKeys._persistName, ruleInfo.name) + // val tmstMetricName = TempName.tmstName(metricName, timeInfo) val profilingParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) .addIfNotExist(RuleDetailKeys._persistName, metricName) - val profilingStep = SparkSqlStep( - timeInfo, - ruleInfo.setRule(profilingSql).setDetails(profilingParams) - ) - -// filterStep :: profilingStep :: Nil - profilingStep :: Nil + val profilingRuleInfo = ruleInfo.setDslType(SparkSqlType) + .setRule(profilingSql).setDetails(profilingParams) +// val profilingStep = SparkSqlStep( +// timeInfo, +// ruleInfo.setRule(profilingSql).setDetails(profilingParams) +// ) + + // filterStep :: profilingStep :: Nil + profilingRuleInfo :: Nil } - } - private def dsHeadReplace(originName: String, replaceName: String): (Expr) => Expr = { expr: Expr => - expr match { - case DataSourceHeadExpr(sn) if (sn == originName) => { - DataSourceHeadExpr(replaceName) - } - case FromClause(sn) if (sn == originName) => { - FromClause(replaceName) - } - case _ => expr.map(dsHeadReplace(originName, replaceName)) - } - } +// def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { +// val ruleInfo = RuleInfoGen(param, timeInfo) +// val dqType = RuleInfoGen.dqType(param) +// GriffinDslStep(timeInfo, ruleInfo, dqType) :: Nil +// } +// +// def adaptConcreteRuleStep(ruleStep: RuleStep +// ): Seq[ConcreteRuleStep] = { +// ruleStep match { +// case rs @ GriffinDslStep(_, ri, dqType) => { +// try { +// val result = parser.parseRule(ri.rule, dqType) +// if (result.successful) { +// val expr = result.get +// transConcreteRuleStep(rs, expr) +// } else { +// println(result) +// warn(s"adapt concrete rule step warn: parse rule [ ${ri.rule} ] fails") +// Nil +// } +// } catch { +// case e: Throwable => { +// error(s"adapt concrete rule step error: ${e.getMessage}") +// Nil +// } +// } +// } +// case _ => Nil +// } +// } +// +// private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr +// ): Seq[ConcreteRuleStep] = { +// ruleStep.dqType match { +// case AccuracyType => transAccuracyRuleStep(ruleStep, expr) +// case ProfilingType => transProfilingRuleStep(ruleStep, expr) +// case TimelinessType => Nil +// case _ => Nil +// } +// } + +// private def transAccuracyRuleStep(ruleStep: GriffinDslStep, expr: Expr +// ): Seq[ConcreteRuleStep] = { +// val timeInfo = ruleStep.timeInfo +// val ruleInfo = ruleStep.ruleInfo +// val calcTime = timeInfo.calcTime +// val tmst = timeInfo.tmst +// +// val details = ruleInfo.details +// val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) +// val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) +// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) +// +// if (!TempTables.existTable(key(calcTime), sourceName)) { +// Nil +// } else { +// // 1. miss record +// val missRecordsSql = if (!TempTables.existTable(key(calcTime), targetName)) { +// val selClause = s"`${sourceName}`.*" +// s"SELECT ${selClause} FROM `${sourceName}`" +// } else { +// val selClause = s"`${sourceName}`.*" +// val onClause = expr.coalesceDesc +// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val targetIsNull = analyzer.targetSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" +// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" +// } +// val missRecordsName = AccuracyKeys._missRecords +// val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) +// val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) +// .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) +// val missRecordsStep = SparkSqlStep( +// timeInfo, +// RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) +// ) +// +// // 2. miss count +// val missTableName = "_miss_" +//// val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) +// val missColName = details.getStringOrKey(AccuracyKeys._miss) +// val missSql = { +// s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" +// } +// val missStep = SparkSqlStep( +// timeInfo, +// RuleInfo(missTableName, None, missSql, Map[String, Any]()) +// ) +// +// // 3. total count +// val totalTableName = "_total_" +//// val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) +// val totalColName = details.getStringOrKey(AccuracyKeys._total) +// val totalSql = { +// s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" +// } +// val totalStep = SparkSqlStep( +// timeInfo, +// RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) +// ) +// +// // 4. accuracy metric +// val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) +// val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) +// val matchedColName = details.getStringOrKey(AccuracyKeys._matched) +// val accuracyMetricSql = { +// s""" +// |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, +// |`${totalTableName}`.`${totalColName}` AS `${totalColName}` +// |FROM `${totalTableName}` FULL JOIN `${missTableName}` +// """.stripMargin +// } +//// val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// val accuracyMetricStep = SparkSqlStep( +// timeInfo, +// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, Map[String, Any]()) +// ) +// +// // 5. accuracy metric filter +// val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) +// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) +// val accuracyStep = DfOprStep( +// timeInfo, +// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), "accuracy", accuracyParams) +// ) +// +// missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil +// } +// } + +// private def transProfilingRuleStep(ruleStep: GriffinDslStep, expr: Expr +// ): Seq[ConcreteRuleStep] = { +// val calcTime = ruleStep.timeInfo.calcTime +// val details = ruleStep.ruleInfo.details +// val profilingClause = expr.asInstanceOf[ProfilingClause] +// val sourceName = profilingClause.fromClauseOpt match { +// case Some(fc) => fc.dataSource +// case _ => details.getString(ProfilingKeys._source, dataSourceNames.head) +// } +// val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc +// +// if (!TempTables.existTable(key(calcTime), sourceName)) { +// Nil +// } else { +// val timeInfo = ruleStep.timeInfo +// val ruleInfo = ruleStep.ruleInfo +// val tmst = timeInfo.tmst +// +//// val tmstSourceName = TempName.tmstName(sourceName, timeInfo) +// +//// val tmstProfilingClause = profilingClause.map(dsHeadReplace(sourceName, tmstSourceName)) +// val tmstAnalyzer = ProfilingAnalyzer(profilingClause, sourceName) +// +// val selExprDescs = tmstAnalyzer.selectionExprs.map { sel => +// val alias = sel match { +// case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" +// case _ => "" +// } +// s"${sel.desc}${alias}" +// } +// val selCondition = profilingClause.selectClause.extraConditionOpt.map(_.desc).mkString +// val selClause = selExprDescs.mkString(", ") +//// val tmstFromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc +// val groupByClauseOpt = tmstAnalyzer.groupbyExprOpt +// val groupbyClause = groupByClauseOpt.map(_.desc).getOrElse("") +// val preGroupbyClause = tmstAnalyzer.preGroupbyExprs.map(_.desc).mkString(" ") +// val postGroupbyClause = tmstAnalyzer.postGroupbyExprs.map(_.desc).mkString(" ") +// +// // 1. select statement +// val profilingSql = { +// s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" +// } +//// println(profilingSql) +// val metricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) +//// val tmstMetricName = TempName.tmstName(metricName, timeInfo) +// val profilingParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, metricName) +// val profilingStep = SparkSqlStep( +// timeInfo, +// ruleInfo.setRule(profilingSql).setDetails(profilingParams) +// ) +// +//// filterStep :: profilingStep :: Nil +// profilingStep :: Nil +// } +// +// } + +// private def dsHeadReplace(originName: String, replaceName: String): (Expr) => Expr = { expr: Expr => +// expr match { +// case DataSourceHeadExpr(sn) if (sn == originName) => { +// DataSourceHeadExpr(replaceName) +// } +// case FromClause(sn) if (sn == originName) => { +// FromClause(replaceName) +// } +// case _ => expr.map(dsHeadReplace(originName, replaceName)) +// } +// } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index e78bc2016..a5a96057d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -41,18 +41,22 @@ trait RuleAdaptor extends Loggable with Serializable { // case _ => Map[String, Any]() // } - def getPersistNames(steps: Seq[RuleStep]): Seq[String] = steps.map(_.ruleInfo.persistName) - - protected def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] - protected def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] - def genConcreteRuleStep(timeInfo: TimeInfo, param: Map[String, Any] - ): Seq[ConcreteRuleStep] = { - genRuleStep(timeInfo, param).flatMap { rs => - adaptConcreteRuleStep(rs) - } - } - protected def genRuleInfos(param: Map[String, Any]): Seq[RuleInfo] = RuleInfoGen(param) :: Nil + +// def getPersistNames(steps: Seq[RuleStep]): Seq[String] = steps.map(_.ruleInfo.persistName) +// +// protected def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] +// protected def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] +// def genConcreteRuleStep(timeInfo: TimeInfo, param: Map[String, Any] +// ): Seq[ConcreteRuleStep] = { +// genRuleStep(timeInfo, param).flatMap { rs => +// adaptConcreteRuleStep(rs) +// } +// } + + def genRuleInfos(param: Map[String, Any], calcTime: Long): Seq[RuleInfo] = { + RuleInfoGen(param) :: Nil + } } @@ -60,35 +64,37 @@ object RuleInfoKeys { val _name = "name" val _rule = "rule" val _details = "details" - val _dslType = "dsl.type" - val _dqType = "dq.type" val _gatherStep = "gather.step" + + val _dqType = "dq.type" } import RuleInfoKeys._ import org.apache.griffin.measure.utils.ParamUtil._ object RuleInfoGen { def apply(param: Map[String, Any]): RuleInfo = { - val name = param.getString(_name, RuleStepNameGenerator.genName) + val name = param.get(_name) match { + case Some(n: String) => n + case _ => RuleStepNameGenerator.genName + } RuleInfo( name, None, + DslType(param.getString(_dslType, "")), param.getString(_rule, ""), param.getParamMap(_details), param.getBoolean(_gatherStep, false) ) } - def apply(param: Map[String, Any], timeInfo: TimeInfo): RuleInfo = { - val name = param.getString(_name, RuleStepNameGenerator.genName) - val ri = apply(param) + def apply(ri: RuleInfo, timeInfo: TimeInfo): RuleInfo = { if (ri.persistType.needPersist) { - val tmstName = TempName.tmstName(name, timeInfo) + val tmstName = TempName.tmstName(ri.name, timeInfo) ri.setTmstNameOpt(Some(tmstName)) } else ri } - def dslType(param: Map[String, Any]): DslType = DslType(param.getString(_dslType, "")) +// def dslType(param: Map[String, Any]): DslType = DslType(param.getString(_dslType, "")) def dqType(param: Map[String, Any]): DqType = DqType(param.getString(_dqType, "")) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 1aedd2ee6..4fdc64f57 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -38,6 +38,12 @@ object RuleAdaptorGroup { var baselineDsName: String = "" + def init(dsNames: Seq[String], blDsName: String, funcNames: Seq[String]): Unit = { + dataSourceNames = dsNames + baselineDsName = blDsName + functionNames = funcNames + } + def init(sqlContext: SQLContext, dsNames: Seq[String], blDsName: String): Unit = { val functions = sqlContext.sql("show functions") functionNames = functions.map(_.getString(0)).collect.toSeq @@ -53,8 +59,8 @@ object RuleAdaptorGroup { private def genRuleAdaptor(dslType: DslType, dsNames: Seq[String] ): Option[RuleAdaptor] = { dslType match { - case SparkSqlType => Some(SparkSqlAdaptor()) - case DfOprType => Some(DataFrameOprAdaptor()) +// case SparkSqlType => Some(SparkSqlAdaptor()) +// case DfOprType => Some(DataFrameOprAdaptor()) case GriffinDslType => Some(GriffinDslAdaptor(dsNames, functionNames)) case _ => None } @@ -120,40 +126,133 @@ object RuleAdaptorGroup { tmsts: Seq[Long], defaultDslType: DslType, adapthase: AdaptPhase = RunPhase ): Seq[ConcreteRuleStep] = { - tmsts.flatMap { tmst => - val newTimeInfo = TimeInfo(timeInfo.calcTime, tmst) - val initSteps: Seq[ConcreteRuleStep] = adapthase match { - case RunPhase => genTmstInitStep(newTimeInfo) - case PreProcPhase => Nil + val calcTime = timeInfo.calcTime + val (ruleInfos, dsNames) = ruleParams.foldLeft((Seq[RuleInfo](), dataSourceNames)) { (res, param) => + val (preRuleInfos, preNames) = res + val dslType = getDslType(param, defaultDslType) + val (curRuleInfos, curNames) = genRuleAdaptor(dslType, preNames) match { + case Some(adaptor) => { + val ris = adaptor.genRuleInfos(param, calcTime) + val rins = ris.map(_.name) + (ris, rins) + } + case _ => (Nil, Nil) + } + (preRuleInfos ++ curRuleInfos, preNames ++ curNames) + } + + // fold from right +// val riGroups = ruleInfos.foldRight(List[(List[RuleInfo], Boolean, List[String])]()) { (ri, groups) => +// groups match { +// case head :: tail => { +// if (ri.gather == head._2) (ri :: head._1, head._2, Nil) :: tail +// else if (ri.gather) { +// val nri = ri.setTmstNameOpt(Some(TempName.tmstName(ri.name, calcTime))) +// (nri :: Nil, ri.gather, None) :: (head._1, head._2, Some(ri.name)) :: tail +// } +// else (ri :: Nil, ri.gather, Nil) :: groups +// } +// case _ => (ri :: Nil, ri.gather, Nil) :: groups +// } +// } + val riGroups = ruleInfos.foldRight(List[(List[RuleInfo], Boolean)]()) { (ri, groups) => + groups match { + case head :: tail if (ri.gather == head._2) => (ri :: head._1, head._2) :: tail + case _ => (ri :: Nil, ri.gather) :: groups + } + }.foldLeft(List[(List[RuleInfo], Boolean, List[String])]()) { (groups, rigs) => + val preGatherNames = groups.lastOption match { + case Some(t) => if (t._2) t._3 ::: t._1.map(_.name) else t._3 + case _ => baselineDsName :: Nil } - val (steps, dsNames) = ruleParams.foldLeft((initSteps, dataSourceNames)) { (res, param) => - val (preSteps, preNames) = res - val dslType = getDslType(param, defaultDslType) - val (curSteps, curNames) = genRuleAdaptor(dslType, preNames) match { - case Some(ruleAdaptor) => { - val concreteSteps = ruleAdaptor.genConcreteRuleStep(newTimeInfo, param) - val persistNames = ruleAdaptor.getPersistNames(concreteSteps) - (concreteSteps, persistNames) + groups :+ (rigs._1, rigs._2, preGatherNames) + } + + riGroups.flatMap { group => + val (ris, gather, srcNames) = group + if (gather) { + ris.flatMap { ri => + genConcRuleSteps(timeInfo, ri) + } + } else { + tmsts.flatMap { tmst => + val newTimeInfo = TimeInfo(calcTime, tmst) + val tmstInitRuleInfos = genTmstInitRuleInfo(newTimeInfo, srcNames) + (tmstInitRuleInfos ++ ris).flatMap { ri => + genConcRuleSteps(newTimeInfo, ri) } - case _ => (Nil, Nil) } - (preSteps ++ curSteps, preNames ++ curNames) } - steps } } - private def genTmstInitStep(timeInfo: TimeInfo): Seq[ConcreteRuleStep] = { + private def genConcRuleSteps(timeInfo: TimeInfo, ruleInfo: RuleInfo): Seq[ConcreteRuleStep] = { + val nri = if (ruleInfo.persistType.needPersist && ruleInfo.tmstNameOpt.isEmpty) { + val tmstName = if (ruleInfo.gather) { + TempName.tmstName(ruleInfo.name, timeInfo.calcTime) + } else { + TempName.tmstName(ruleInfo.name, timeInfo) + } + ruleInfo.setTmstNameOpt(Some(tmstName)) + } else ruleInfo + ruleInfo.dslType match { + case SparkSqlType => SparkSqlStep(timeInfo, nri) :: Nil + case DfOprType => DfOprStep(timeInfo, nri) :: Nil + case _ => Nil + } + } + + private def genTmstInitRuleInfo(timeInfo: TimeInfo, srcNames: Seq[String]): Seq[RuleInfo] = { val TimeInfo(calcTime, tmst) = timeInfo - val tmstDsName = TempName.tmstName(baselineDsName, calcTime) - val filterSql = { - s"SELECT * FROM `${tmstDsName}` WHERE `${InternalColumns.tmst}` = ${tmst}" + srcNames.map { srcName => + val srcTmstName = TempName.tmstName(srcName, calcTime) + val filterSql = { + s"SELECT * FROM `${srcTmstName}` WHERE `${InternalColumns.tmst}` = ${tmst}" + } + RuleInfo(srcName, None, SparkSqlType, filterSql, Map[String, Any](), false) } - SparkSqlStep( - timeInfo, - RuleInfo(baselineDsName, None, filterSql, Map[String, Any]()) - ) :: Nil } +// def genRuleSteps(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], +// tmsts: Seq[Long], defaultDslType: DslType, +// adapthase: AdaptPhase = RunPhase +// ): Seq[ConcreteRuleStep] = { +// tmsts.flatMap { tmst => +// val newTimeInfo = TimeInfo(timeInfo.calcTime, tmst) +// val initSteps: Seq[ConcreteRuleStep] = adapthase match { +// case RunPhase => genTmstInitStep(newTimeInfo) +// case PreProcPhase => Nil +// } +// val (steps, dsNames) = ruleParams.foldLeft((initSteps, dataSourceNames)) { (res, param) => +// val (preSteps, preNames) = res +// val dslType = getDslType(param, defaultDslType) +// val (curSteps, curNames) = genRuleAdaptor(dslType, preNames) match { +// case Some(ruleAdaptor) => { +// val concreteSteps = ruleAdaptor.genConcreteRuleStep(newTimeInfo, param) +// val persistNames = ruleAdaptor.getPersistNames(concreteSteps) +// (concreteSteps, persistNames) +// } +// case _ => (Nil, Nil) +// } +// (preSteps ++ curSteps, preNames ++ curNames) +// } +// steps +// } +// } + + + +// private def genTmstInitStep(timeInfo: TimeInfo): Seq[ConcreteRuleStep] = { +// val TimeInfo(calcTime, tmst) = timeInfo +// val tmstDsName = TempName.tmstName(baselineDsName, calcTime) +// val filterSql = { +// s"SELECT * FROM `${tmstDsName}` WHERE `${InternalColumns.tmst}` = ${tmst}" +// } +// SparkSqlStep( +// timeInfo, +// RuleInfo(baselineDsName, None, filterSql, Map[String, Any]()) +// ) :: Nil +// } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index 781c2874f..cb1e5b291 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -1,40 +1,40 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.rule.adaptor - -import org.apache.griffin.measure.cache.tmst.TempName -import org.apache.griffin.measure.data.connector.InternalColumns -import org.apache.griffin.measure.rule.dsl.MetricPersistType -import org.apache.griffin.measure.rule.step._ -import org.apache.griffin.measure.utils.ParamUtil._ - -case class SparkSqlAdaptor() extends RuleAdaptor { - - def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { - val ruleInfo = RuleInfoGen(param, timeInfo) - SparkSqlStep(timeInfo, ruleInfo) :: Nil - } - def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] = { - ruleStep match { - case rs @ SparkSqlStep(ti, ri) => rs :: Nil - case _ => Nil - } - } - -} +///* +//Licensed to the Apache Software Foundation (ASF) under one +//or more contributor license agreements. See the NOTICE file +//distributed with this work for additional information +//regarding copyright ownership. The ASF licenses this file +//to you under the Apache License, Version 2.0 (the +//"License"); you may not use this file except in compliance +//with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +//Unless required by applicable law or agreed to in writing, +//software distributed under the License is distributed on an +//"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +//KIND, either express or implied. See the License for the +//specific language governing permissions and limitations +//under the License. +//*/ +//package org.apache.griffin.measure.rule.adaptor +// +//import org.apache.griffin.measure.cache.tmst.TempName +//import org.apache.griffin.measure.data.connector.InternalColumns +//import org.apache.griffin.measure.rule.dsl.MetricPersistType +//import org.apache.griffin.measure.rule.step._ +//import org.apache.griffin.measure.utils.ParamUtil._ +// +//case class SparkSqlAdaptor() extends RuleAdaptor { +// +// def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { +// val ruleInfo = RuleInfoGen(param, timeInfo) +// SparkSqlStep(timeInfo, ruleInfo) :: Nil +// } +// def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] = { +// ruleStep match { +// case rs @ SparkSqlStep(ti, ri) => rs :: Nil +// case _ => Nil +// } +// } +// +//} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala index b94cd83a8..e3c54ca6a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala @@ -45,8 +45,8 @@ object RuleDetailKeys { import RuleDetailKeys._ import org.apache.griffin.measure.utils.ParamUtil._ -case class RuleInfo(name: String, tmstNameOpt: Option[String], rule: String, - details: Map[String, Any], gather: Boolean) { +case class RuleInfo(name: String, tmstNameOpt: Option[String], dslType: DslType, + rule: String, details: Map[String, Any], gather: Boolean) { val persistName = details.getString(_persistName, name) val persistType = PersistType(details.getString(_persistType, "")) @@ -54,19 +54,22 @@ case class RuleInfo(name: String, tmstNameOpt: Option[String], rule: String, val cacheDataSourceOpt = details.get(_cacheDataSource).map(_.toString) def setName(n: String): RuleInfo = { - RuleInfo(n, tmstNameOpt, rule, details, gather) + RuleInfo(n, tmstNameOpt, dslType, rule, details, gather) } def setTmstNameOpt(tnOpt: Option[String]): RuleInfo = { - RuleInfo(name, tnOpt, rule, details, gather) + RuleInfo(name, tnOpt, dslType, rule, details, gather) + } + def setDslType(dt: DslType): RuleInfo = { + RuleInfo(name, tmstNameOpt, dt, rule, details, gather) } def setRule(r: String): RuleInfo = { - RuleInfo(name, tmstNameOpt, r, details, gather) + RuleInfo(name, tmstNameOpt, dslType, r, details, gather) } def setDetails(d: Map[String, Any]): RuleInfo = { - RuleInfo(name, tmstNameOpt, rule, d, gather) + RuleInfo(name, tmstNameOpt, dslType, rule, d, gather) } def setGather(g: Boolean): RuleInfo = { - RuleInfo(name, tmstNameOpt, rule, details, g) + RuleInfo(name, tmstNameOpt, dslType, rule, details, g) } def getNames: Seq[String] = { diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index cdb0a5c74..732732b95 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -19,6 +19,7 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process._ +import org.apache.griffin.measure.process.temp._ import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.junit.runner.RunWith @@ -57,11 +58,16 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234))) // val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) - val steps = adaptor.genConcreteRuleStep(TimeInfo(1, 2), rule) +// val steps = adaptor.genConcreteRuleStep(TimeInfo(1, 2), rule) - steps.foreach { step => - println(s"${step}") - } +// steps.foreach { step => +// println(s"${step}") +// } + + TempTables.registerTempTableNameOnly(TempKeys.key(123), "source") + + val ris = adaptor.genRuleInfos(rule, 123) + ris.foreach(println) } test ("accuracy") { diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala new file mode 100644 index 000000000..d930c5c5b --- /dev/null +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala @@ -0,0 +1,69 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.adaptor + +import org.apache.griffin.measure.config.params.Param +import org.apache.griffin.measure.config.params.user.UserParam +import org.apache.griffin.measure.config.reader.ParamReaderFactory +import org.apache.griffin.measure.process._ +import org.apache.griffin.measure.process.temp._ +import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.utils.JsonUtil +import org.junit.runner.RunWith +import org.scalatest.junit.JUnitRunner +import org.scalatest.{BeforeAndAfter, FunSuite, Matchers} +import org.scalamock.scalatest.MockFactory + +import scala.util.{Failure, Success, Try} + +@RunWith(classOf[JUnitRunner]) +class RuleAdaptorGroupTest extends FunSuite with Matchers with BeforeAndAfter with MockFactory { + + test ("profiling groupby") { + RuleAdaptorGroup.init( + "source" :: "target" :: Nil, + "source", + "coalesce" :: "count" :: "upper" :: Nil + ) + TempTables.registerTempTableNameOnly(TempKeys.key(123), "source") + TempTables.registerTempTableNameOnly(TempKeys.key(123), "target") + + val confFile = "src/test/resources/config-test-accuracy-new.json" + + val userParam = readParamFile[UserParam](confFile, "local") match { + case Success(p) => p + case Failure(ex) => fail + } + + val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](111, 222, 333))) + + val steps = RuleAdaptorGroup.genRuleSteps( + TimeInfo(123, 321), + userParam.evaluateRuleParam, + dsTmsts + ) + steps.foreach(println) + } + + private def readParamFile[T <: Param](file: String, fsType: String)(implicit m : Manifest[T]): Try[T] = { + val paramReader = ParamReaderFactory.getParamReader(file, fsType) + paramReader.readConfig[T] + } + +} diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala index deea4a50b..b0d4dbcc5 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala @@ -29,31 +29,31 @@ import org.scalamock.scalatest.MockFactory class SparkSqlAdaptorTest extends FunSuite with Matchers with BeforeAndAfter with MockFactory { test ("spark sql adaptor test") { - val adaptor = SparkSqlAdaptor() - - val ruleJson = - """ - |{ - | "dsl.type": "spark-sql", - | "name": "out", - | "rule": "count(*)", - | "details": { - | "persist.type": "metric", - | "collect.type": "array" - | } - |} - """.stripMargin - - // rule: Map[String, Any] - val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) - println(rule) - - val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234))) - val steps = adaptor.genConcreteRuleStep(TimeInfo(1, 2), rule) - - steps.foreach { step => - println(s"${step}") - } +// val adaptor = SparkSqlAdaptor() +// +// val ruleJson = +// """ +// |{ +// | "dsl.type": "spark-sql", +// | "name": "out", +// | "rule": "count(*)", +// | "details": { +// | "persist.type": "metric", +// | "collect.type": "array" +// | } +// |} +// """.stripMargin +// +// // rule: Map[String, Any] +// val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) +// println(rule) +// +// val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234))) +// val steps = adaptor.genConcreteRuleStep(TimeInfo(1, 2), rule) +// +// steps.foreach { step => +// println(s"${step}") +// } } } From ca0e8c264cdc457fe98532545d99ebaa11e86f14 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 18 Dec 2017 18:11:53 +0800 Subject: [PATCH 067/177] opt accuracy --- .../griffin/measure/cache/tmst/TempName.scala | 3 +- .../data/connector/DataConnector.scala | 36 +++---- .../measure/data/source/DataSource.scala | 15 +-- .../measure/process/BatchDqProcess.scala | 18 ++-- .../measure/process/StreamingDqThread.scala | 16 ++-- .../process/engine/DataFrameOprEngine.scala | 7 +- .../measure/process/engine/DqEngines.scala | 4 +- .../process/engine/SparkSqlEngine.scala | 3 +- .../measure/process/temp/TempTables.scala | 8 +- .../rule/adaptor/DataFrameOprAdaptor.scala | 68 ++++++------- .../rule/adaptor/GriffinDslAdaptor.scala | 18 ++-- .../measure/rule/adaptor/RuleAdaptor.scala | 2 +- .../rule/adaptor/RuleAdaptorGroup.scala | 96 ++++++++++--------- .../rule/adaptor/SparkSqlAdaptor.scala | 60 ++++++------ .../griffin/measure/rule/step/RuleInfo.scala | 65 +++++++++++++ .../griffin/measure/rule/step/RuleStep.scala | 51 ++-------- .../griffin/measure/rule/step/TimeInfo.scala | 37 +++++++ .../resources/config-test-accuracy-new2.json | 18 ++-- .../resources/config-test-profiling-new.json | 4 +- .../rule/adaptor/GriffinDslAdaptorTest.scala | 7 +- .../rule/adaptor/RuleAdaptorGroupTest.scala | 9 +- 21 files changed, 317 insertions(+), 228 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/step/TimeInfo.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala index 70b2564f8..fe623f471 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala @@ -31,7 +31,8 @@ object TempName extends Loggable { // private val tmstNameRegex = """^(.*)\((\d*)\)\[(\d*)\]$""".r private val tmstNameRegex = """^(.*)_(\d*)_(\d*)$""".r def tmstName(name: String, timeInfo: TimeInfo) = { - val TimeInfo(calcTime, tmst) = timeInfo + val calcTime = timeInfo.calcTime + val tmst = timeInfo.tmst s"${name}_${calcTime}_${tmst}" } def extractTmstName(tmstName: String): (String, Option[Long], Option[Long]) = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 36bc9b687..724d8914c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -26,11 +26,10 @@ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.{BatchDqProcess, BatchProcessType} import org.apache.griffin.measure.process.engine._ import org.apache.griffin.measure.process.temp.TempTables -import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.rule.adaptor.{PreProcPhase, RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.preproc.PreProcRuleGenerator -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.step.{CalcTimeInfo, TimeInfo} import org.apache.spark.rdd.RDD import org.apache.spark.sql.functions._ import org.apache.spark.sql.{DataFrame, SQLContext} @@ -42,7 +41,7 @@ trait DataConnector extends Loggable with Serializable { var tmstCache: TmstCache = _ protected def saveTmst(t: Long) = tmstCache.insert(t) - protected def readTmst(t: Long) = tmstCache.range(t, t + 20) + protected def readTmst(t: Long) = tmstCache.range(t, t + 1) def init(): Unit @@ -62,6 +61,7 @@ trait DataConnector extends Loggable with Serializable { final val tmstColName = InternalColumns.tmst def preProcess(dfOpt: Option[DataFrame], ms: Long): Option[DataFrame] = { + val timeInfo = CalcTimeInfo(ms, id) val thisTable = thisName(ms) val preProcRules = PreProcRuleGenerator.genPreProcRules(dcParam.preProc, suffix(ms)) // val names = PreProcRuleGenerator.getRuleNames(preProcRules).toSet + thisTable @@ -69,14 +69,14 @@ trait DataConnector extends Loggable with Serializable { try { dfOpt.flatMap { df => // in data - TempTables.registerTempTable(df, key(id, ms), thisTable) + TempTables.registerTempTable(df, timeInfo.key, thisTable) // val dsTmsts = Map[String, Set[Long]]((thisTable -> Set[Long](ms))) val tmsts = Seq[Long](ms) // generate rule steps val ruleSteps = RuleAdaptorGroup.genRuleSteps( - TimeInfo(ms, ms), preProcRules, tmsts, DslType("spark-sql"), PreProcPhase) + timeInfo, preProcRules, tmsts, DslType("spark-sql"), PreProcPhase) // run rules dqEngines.runRuleSteps(ruleSteps) @@ -85,7 +85,7 @@ trait DataConnector extends Loggable with Serializable { val outDf = sqlContext.table(s"`${thisTable}`") // drop temp tables - TempTables.unregisterTempTables(sqlContext, key(id, ms)) + TempTables.unregisterTempTables(sqlContext, timeInfo.key) // names.foreach { name => // try { // TempTables.unregisterTempTable(sqlContext, ms, name) @@ -94,20 +94,20 @@ trait DataConnector extends Loggable with Serializable { // } // } - val range = if (id == "dc1") (0 until 20).toList else (0 until 1).toList - val withTmstDfs = range.map { i => - saveTmst(ms + i) - outDf.withColumn(tmstColName, lit(ms + i)).limit(49 - i) - } - Some(withTmstDfs.reduce(_ unionAll _)) +// val range = if (id == "dc1") (0 until 20).toList else (0 until 1).toList +// val withTmstDfs = range.map { i => +// saveTmst(ms + i) +// outDf.withColumn(tmstColName, lit(ms + i)).limit(49 - i) +// } +// Some(withTmstDfs.reduce(_ unionAll _)) // add tmst -// val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) -// -// // tmst cache -// saveTmst(ms) -// -// Some(withTmstDf) + val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) + + // tmst cache + saveTmst(ms) + + Some(withTmstDf) } } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 8bf5f36c4..6db96eb89 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -18,13 +18,13 @@ under the License. */ package org.apache.griffin.measure.data.source -import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} +import org.apache.griffin.measure.cache.tmst._ import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.data.connector.batch._ import org.apache.griffin.measure.data.connector.streaming._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.temp.TempTables -import org.apache.griffin.measure.process.temp.TempKeys._ +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row, SQLContext} @@ -49,14 +49,15 @@ case class DataSource(sqlContext: SQLContext, dataConnectors.map(_.tmstCache = tmstCache) } - def loadData(ms: Long): Set[Long] = { - val tmstName = TempName.tmstName(name, ms) + def loadData(timeInfo: TimeInfo): Set[Long] = { + val calcTime = timeInfo.calcTime + val tmstName = TempName.tmstName(name, calcTime) println(s"load data [${name}] (${tmstName})") - val (dfOpt, tmsts) = data(ms) + val (dfOpt, tmsts) = data(calcTime) dfOpt match { case Some(df) => { - TempTables.registerTempTable(df, key(ms), name) - TempTables.registerTempTable(df, key(ms), tmstName) + TempTables.registerTempTable(df, timeInfo.key, name) + TempTables.registerTempTable(df, timeInfo.key, tmstName) } case None => { // val df = sqlContext.emptyDataFrame diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 5e31fa6b1..42cee6efe 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -29,9 +29,8 @@ import org.apache.griffin.measure.data.source.DataSourceFactory import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.{DqEngineFactory, SparkSqlEngine} import org.apache.griffin.measure.process.temp.TempTables -import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.rule.udf.GriffinUdfs import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.sql.SQLContext @@ -75,6 +74,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { val startTime = new Date().getTime val appTime = getAppTime + val calcTimeInfo = CalcTimeInfo(appTime) // get persists to persist measure result val persistFactory = PersistFactory(envParam.persistParams, metricName) @@ -92,7 +92,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { dataSources.foreach(_.init) // init data sources - val dsTmsts = dqEngines.loadData(dataSources, appTime) + val dsTmsts = dqEngines.loadData(dataSources, calcTimeInfo) debug(s"data source timestamps: ${dsTmsts}") @@ -100,7 +100,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( // TimeInfo(appTime, appTime), userParam.evaluateRuleParam, dsTmsts, BatchProcessType, RunPhase) val ruleSteps = RuleAdaptorGroup.genRuleSteps( - TimeInfo(appTime, appTime), userParam.evaluateRuleParam, dsTmsts) + CalcTimeInfo(appTime), userParam.evaluateRuleParam, dsTmsts) // ruleSteps.foreach(println) @@ -125,10 +125,14 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // finish persist.finish() +// sqlContext.tables().show(50) +// println(sqlContext.tableNames().size) + // clean data - cleanData(appTime) + cleanData(calcTimeInfo) // sqlContext.tables().show(50) +// println(sqlContext.tableNames().size) // clear temp table // ruleSteps.foreach { rs => @@ -144,8 +148,8 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // sqlContext.tables().show(50) } - private def cleanData(t: Long): Unit = { - TempTables.unregisterTempTables(sqlContext, key(t)) + private def cleanData(timeInfo: TimeInfo): Unit = { + TempTables.unregisterTempTables(sqlContext, timeInfo.key) } def end: Try[_] = Try { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index ca7e616a2..2c0479e7b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -29,9 +29,8 @@ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngines import org.apache.griffin.measure.process.temp.TempTables -import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.step.{CalcTimeInfo, TimeInfo} import org.apache.spark.sql.SQLContext case class StreamingDqThread(sqlContext: SQLContext, @@ -54,17 +53,20 @@ case class StreamingDqThread(sqlContext: SQLContext, val st = new Date().getTime appPersist.log(st, s"starting process ...") + val calcTimeInfo = CalcTimeInfo(st) TimeInfoCache.startTimeInfoCache // init data sources - val dsTmsts = dqEngines.loadData(dataSources, st) + val dsTmsts = dqEngines.loadData(dataSources, calcTimeInfo) println(s"data sources timestamps: ${dsTmsts}") // generate rule steps val ruleSteps = RuleAdaptorGroup.genRuleSteps( - TimeInfo(st, st), evaluateRuleParam, dsTmsts) + CalcTimeInfo(st), evaluateRuleParam, dsTmsts) + +// ruleSteps.foreach(println) // run rules dqEngines.runRuleSteps(ruleSteps) @@ -109,7 +111,7 @@ case class StreamingDqThread(sqlContext: SQLContext, TimeInfoCache.endTimeInfoCache // clean old data - cleanData(st) + cleanData(calcTimeInfo) val et = new Date().getTime val persistTimeStr = s"persist records using time: ${et - lt} ms" @@ -129,10 +131,10 @@ case class StreamingDqThread(sqlContext: SQLContext, } // clean old data and old result cache - private def cleanData(t: Long): Unit = { + private def cleanData(timeInfo: TimeInfo): Unit = { try { dataSources.foreach(_.cleanOldData) - TempTables.unregisterTempTables(sqlContext, key(t)) + TempTables.unregisterTempTables(sqlContext, timeInfo.key) val cleanTime = TimeInfoCache.getCleanTime CacheResultProcesser.refresh(cleanTime) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index e65aaa995..1b1188d89 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -26,7 +26,6 @@ import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.data.source.{DataSource, DataSourceFactory} import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.temp.TempTables -import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.result.AccuracyResult import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.step._ @@ -48,15 +47,15 @@ case class DataFrameOprEngine(sqlContext: SQLContext) extends SparkDqEngine { ri.rule match { case DataFrameOprs._fromJson => { val df = DataFrameOprs.fromJson(sqlContext, ri) - ri.getNames.foreach(TempTables.registerTempTable(df, key(ti.calcTime), _)) + ri.getNames.foreach(TempTables.registerTempTable(df, ti.key, _)) } case DataFrameOprs._accuracy => { val df = DataFrameOprs.accuracy(sqlContext, ti, ri) - ri.getNames.foreach(TempTables.registerTempTable(df, key(ti.calcTime), _)) + ri.getNames.foreach(TempTables.registerTempTable(df, ti.key, _)) } case DataFrameOprs._clear => { val df = DataFrameOprs.clear(sqlContext, ri) - ri.getNames.foreach(TempTables.registerTempTable(df, key(ti.calcTime), _)) + ri.getNames.foreach(TempTables.registerTempTable(df, ti.key, _)) } case _ => { throw new Exception(s"df opr [ ${ri.rule} ] not supported") diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 3eae0b79f..d7932303d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -32,9 +32,9 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { val persistOrder: List[PersistType] = List(MetricPersistType, RecordPersistType) - def loadData(dataSources: Seq[DataSource], ms: Long): Map[String, Set[Long]] = { + def loadData(dataSources: Seq[DataSource], timeInfo: TimeInfo): Map[String, Set[Long]] = { dataSources.map { ds => - (ds.name, ds.loadData(ms)) + (ds.name, ds.loadData(timeInfo)) }.toMap } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index 00aa31dc4..cd96036fa 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -25,7 +25,6 @@ import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.data.source._ import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.temp.TempTables -import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.JsonUtil @@ -42,7 +41,7 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { case SparkSqlStep(ti, ri) => { try { val rdf = sqlContext.sql(ri.rule) - ri.getNames.foreach(TempTables.registerTempTable(rdf, key(ti.calcTime), _)) + ri.getNames.foreach(TempTables.registerTempTable(rdf, ti.key, _)) true } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala index a10c66336..5810b6990 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala @@ -101,7 +101,7 @@ object TempTables extends Loggable { } -object TempKeys { - def key(t: Long): String = s"${t}" - def key(head: String, t: Long): String = s"${head}_${t}" -} \ No newline at end of file +//object TempKeys { +// def key(t: Long): String = s"${t}" +// def key(head: String, t: Long): String = s"${head}_${t}" +//} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 43dfe70a3..eab7d0219 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -1,28 +1,28 @@ -///* -//Licensed to the Apache Software Foundation (ASF) under one -//or more contributor license agreements. See the NOTICE file -//distributed with this work for additional information -//regarding copyright ownership. The ASF licenses this file -//to you under the Apache License, Version 2.0 (the -//"License"); you may not use this file except in compliance -//with the License. You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -//Unless required by applicable law or agreed to in writing, -//software distributed under the License is distributed on an -//"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -//KIND, either express or implied. See the License for the -//specific language governing permissions and limitations -//under the License. -//*/ -//package org.apache.griffin.measure.rule.adaptor -// -//import org.apache.griffin.measure.process.ProcessType -//import org.apache.griffin.measure.rule.step._ -// -//case class DataFrameOprAdaptor() extends RuleAdaptor { -// +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.adaptor + +import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.rule.step._ + +case class DataFrameOprAdaptor() extends RuleAdaptor { + // def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { // val ruleInfo = RuleInfoGen(param, timeInfo) // DfOprStep(timeInfo, ruleInfo) :: Nil @@ -35,12 +35,12 @@ // case _ => Nil // } // } -// -//// def getTempSourceNames(param: Map[String, Any]): Seq[String] = { -//// param.get(_name) match { -//// case Some(name) => name.toString :: Nil -//// case _ => Nil -//// } -//// } -// -//} + +// def getTempSourceNames(param: Map[String, Any]): Seq[String] = { +// param.get(_name) match { +// case Some(name) => name.toString :: Nil +// case _ => Nil +// } +// } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index bea90ac80..98b6611e7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -21,7 +21,6 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.process.temp.TempTables -import org.apache.griffin.measure.process.temp.TempKeys._ import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.dsl.analyzer._ @@ -51,7 +50,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val parser = GriffinDslParser(dataSourceNames, filteredFunctionNames) - override def genRuleInfos(param: Map[String, Any], calcTime: Long): Seq[RuleInfo] = { + override def genRuleInfos(param: Map[String, Any], timeInfo: TimeInfo): Seq[RuleInfo] = { val ruleInfo = RuleInfoGen(param) val dqType = RuleInfoGen.dqType(param) try { @@ -59,8 +58,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], if (result.successful) { val expr = result.get dqType match { - case AccuracyType => accuracyRuleInfos(ruleInfo, expr, calcTime) - case ProfilingType => profilingRuleInfos(ruleInfo, expr, calcTime) + case AccuracyType => accuracyRuleInfos(ruleInfo, expr, timeInfo) + case ProfilingType => profilingRuleInfos(ruleInfo, expr, timeInfo) case TimelinessType => Nil case _ => Nil } @@ -76,17 +75,18 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr, calcTime: Long): Seq[RuleInfo] = { + private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { + val calcTime = timeInfo.calcTime val details = ruleInfo.details val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) - if (!TempTables.existTable(key(calcTime), sourceName)) { + if (!TempTables.existTable(timeInfo.key, sourceName)) { Nil } else { // 1. miss record - val missRecordsSql = if (!TempTables.existTable(key(calcTime), targetName)) { + val missRecordsSql = if (!TempTables.existTable(timeInfo.key, targetName)) { val selClause = s"`${sourceName}`.*" s"SELECT ${selClause} FROM `${sourceName}`" } else { @@ -175,7 +175,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], accuracyMetricRuleInfo :: accuracyRuleInfo :: Nil } } - private def profilingRuleInfos(ruleInfo: RuleInfo, expr: Expr, calcTime: Long): Seq[RuleInfo] = { + private def profilingRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { val details = ruleInfo.details val profilingClause = expr.asInstanceOf[ProfilingClause] val sourceName = profilingClause.fromClauseOpt match { @@ -184,7 +184,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc - if (!TempTables.existTable(key(calcTime), sourceName)) { + if (!TempTables.existTable(timeInfo.key, sourceName)) { Nil } else { val tmstAnalyzer = ProfilingAnalyzer(profilingClause, sourceName) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index a5a96057d..98451f76e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -54,7 +54,7 @@ trait RuleAdaptor extends Loggable with Serializable { // } // } - def genRuleInfos(param: Map[String, Any], calcTime: Long): Seq[RuleInfo] = { + def genRuleInfos(param: Map[String, Any], timeInfo: TimeInfo): Seq[RuleInfo] = { RuleInfoGen(param) :: Nil } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 4fdc64f57..b10ab59f0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -22,6 +22,7 @@ import org.apache.griffin.measure.cache.tmst.TempName import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.process.temp.TempTables import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.step._ import org.apache.spark.sql.SQLContext @@ -59,8 +60,8 @@ object RuleAdaptorGroup { private def genRuleAdaptor(dslType: DslType, dsNames: Seq[String] ): Option[RuleAdaptor] = { dslType match { -// case SparkSqlType => Some(SparkSqlAdaptor()) -// case DfOprType => Some(DataFrameOprAdaptor()) + case SparkSqlType => Some(SparkSqlAdaptor()) + case DfOprType => Some(DataFrameOprAdaptor()) case GriffinDslType => Some(GriffinDslAdaptor(dsNames, functionNames)) case _ => None } @@ -132,58 +133,62 @@ object RuleAdaptorGroup { val dslType = getDslType(param, defaultDslType) val (curRuleInfos, curNames) = genRuleAdaptor(dslType, preNames) match { case Some(adaptor) => { - val ris = adaptor.genRuleInfos(param, calcTime) + val ris = adaptor.genRuleInfos(param, timeInfo) val rins = ris.map(_.name) (ris, rins) } case _ => (Nil, Nil) } - (preRuleInfos ++ curRuleInfos, preNames ++ curNames) - } - - // fold from right -// val riGroups = ruleInfos.foldRight(List[(List[RuleInfo], Boolean, List[String])]()) { (ri, groups) => -// groups match { -// case head :: tail => { -// if (ri.gather == head._2) (ri :: head._1, head._2, Nil) :: tail -// else if (ri.gather) { -// val nri = ri.setTmstNameOpt(Some(TempName.tmstName(ri.name, calcTime))) -// (nri :: Nil, ri.gather, None) :: (head._1, head._2, Some(ri.name)) :: tail -// } -// else (ri :: Nil, ri.gather, Nil) :: groups -// } -// case _ => (ri :: Nil, ri.gather, Nil) :: groups -// } -// } - val riGroups = ruleInfos.foldRight(List[(List[RuleInfo], Boolean)]()) { (ri, groups) => - groups match { - case head :: tail if (ri.gather == head._2) => (ri :: head._1, head._2) :: tail - case _ => (ri :: Nil, ri.gather) :: groups - } - }.foldLeft(List[(List[RuleInfo], Boolean, List[String])]()) { (groups, rigs) => - val preGatherNames = groups.lastOption match { - case Some(t) => if (t._2) t._3 ::: t._1.map(_.name) else t._3 - case _ => baselineDsName :: Nil + if (adapthase == RunPhase) { + curNames.foreach(TempTables.registerTempTableNameOnly(timeInfo.key, _)) } - groups :+ (rigs._1, rigs._2, preGatherNames) + (preRuleInfos ++ curRuleInfos, preNames ++ curNames) } - riGroups.flatMap { group => - val (ris, gather, srcNames) = group - if (gather) { - ris.flatMap { ri => + adapthase match { + case PreProcPhase => { + ruleInfos.flatMap { ri => genConcRuleSteps(timeInfo, ri) } - } else { - tmsts.flatMap { tmst => - val newTimeInfo = TimeInfo(calcTime, tmst) - val tmstInitRuleInfos = genTmstInitRuleInfo(newTimeInfo, srcNames) - (tmstInitRuleInfos ++ ris).flatMap { ri => - genConcRuleSteps(newTimeInfo, ri) + } + case RunPhase => { + val riGroups = ruleInfos.foldRight(List[(List[RuleInfo], Boolean)]()) { (ri, groups) => + groups match { + case head :: tail if (ri.gather == head._2) => (ri :: head._1, head._2) :: tail + case _ => (ri :: Nil, ri.gather) :: groups + } + }.foldLeft(List[(List[RuleInfo], Boolean, List[String], List[RuleInfo])]()) { (groups, rigs) => + val preGatherNames = groups.lastOption match { + case Some(t) => if (t._2) t._3 ::: t._1.map(_.name) else t._3 + case _ => baselineDsName :: Nil + } + val persistRuleInfos = groups.lastOption match { + case Some(t) if (t._2) => t._1.filter(_.persistType.needPersist) + case _ => Nil + } + groups :+ (rigs._1, rigs._2, preGatherNames, persistRuleInfos) + } + + riGroups.flatMap { group => + val (ris, gather, srcNames, persistRis) = group + if (gather) { + ris.flatMap { ri => + genConcRuleSteps(timeInfo, ri) + } + } else { + tmsts.flatMap { tmst => + val concTimeInfo = TmstTimeInfo(calcTime, tmst) + val tmstInitRuleInfos = genTmstInitRuleInfo(concTimeInfo, srcNames, persistRis) + (tmstInitRuleInfos ++ ris).flatMap { ri => + genConcRuleSteps(concTimeInfo, ri) + } + } } } } } + + } private def genConcRuleSteps(timeInfo: TimeInfo, ruleInfo: RuleInfo): Seq[ConcreteRuleStep] = { @@ -202,14 +207,19 @@ object RuleAdaptorGroup { } } - private def genTmstInitRuleInfo(timeInfo: TimeInfo, srcNames: Seq[String]): Seq[RuleInfo] = { - val TimeInfo(calcTime, tmst) = timeInfo + private def genTmstInitRuleInfo(timeInfo: TmstTimeInfo, srcNames: Seq[String], + persistRis: Seq[RuleInfo]): Seq[RuleInfo] = { + val TmstTimeInfo(calcTime, tmst, _) = timeInfo srcNames.map { srcName => val srcTmstName = TempName.tmstName(srcName, calcTime) val filterSql = { s"SELECT * FROM `${srcTmstName}` WHERE `${InternalColumns.tmst}` = ${tmst}" } - RuleInfo(srcName, None, SparkSqlType, filterSql, Map[String, Any](), false) + val params = persistRis.filter(_.name == srcName).headOption match { + case Some(ri) => ri.details + case _ => Map[String, Any]() + } + RuleInfo(srcName, None, SparkSqlType, filterSql, params, false) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index cb1e5b291..d75628d13 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -1,31 +1,31 @@ -///* -//Licensed to the Apache Software Foundation (ASF) under one -//or more contributor license agreements. See the NOTICE file -//distributed with this work for additional information -//regarding copyright ownership. The ASF licenses this file -//to you under the Apache License, Version 2.0 (the -//"License"); you may not use this file except in compliance -//with the License. You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -//Unless required by applicable law or agreed to in writing, -//software distributed under the License is distributed on an -//"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -//KIND, either express or implied. See the License for the -//specific language governing permissions and limitations -//under the License. -//*/ -//package org.apache.griffin.measure.rule.adaptor -// -//import org.apache.griffin.measure.cache.tmst.TempName -//import org.apache.griffin.measure.data.connector.InternalColumns -//import org.apache.griffin.measure.rule.dsl.MetricPersistType -//import org.apache.griffin.measure.rule.step._ -//import org.apache.griffin.measure.utils.ParamUtil._ -// -//case class SparkSqlAdaptor() extends RuleAdaptor { -// +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.adaptor + +import org.apache.griffin.measure.cache.tmst.TempName +import org.apache.griffin.measure.data.connector.InternalColumns +import org.apache.griffin.measure.rule.dsl.MetricPersistType +import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.utils.ParamUtil._ + +case class SparkSqlAdaptor() extends RuleAdaptor { + // def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { // val ruleInfo = RuleInfoGen(param, timeInfo) // SparkSqlStep(timeInfo, ruleInfo) :: Nil @@ -36,5 +36,5 @@ // case _ => Nil // } // } -// -//} + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala new file mode 100644 index 000000000..c2d4b6561 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala @@ -0,0 +1,65 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.step + +import org.apache.griffin.measure.rule.dsl.{CollectType, DslType, PersistType} + +object RuleDetailKeys { + val _persistName = "persist.name" + val _persistType = "persist.type" + val _collectType = "collect.type" + val _cacheDataSource = "cache.data.source" +} +import RuleDetailKeys._ +import org.apache.griffin.measure.utils.ParamUtil._ + +case class RuleInfo(name: String, tmstNameOpt: Option[String], dslType: DslType, + rule: String, details: Map[String, Any], gather: Boolean) { + + val persistName = details.getString(_persistName, name) + val persistType = PersistType(details.getString(_persistType, "")) + val collectType = CollectType(details.getString(_collectType, "")) + val cacheDataSourceOpt = details.get(_cacheDataSource).map(_.toString) + + def setName(n: String): RuleInfo = { + RuleInfo(n, tmstNameOpt, dslType, rule, details, gather) + } + def setTmstNameOpt(tnOpt: Option[String]): RuleInfo = { + RuleInfo(name, tnOpt, dslType, rule, details, gather) + } + def setDslType(dt: DslType): RuleInfo = { + RuleInfo(name, tmstNameOpt, dt, rule, details, gather) + } + def setRule(r: String): RuleInfo = { + RuleInfo(name, tmstNameOpt, dslType, r, details, gather) + } + def setDetails(d: Map[String, Any]): RuleInfo = { + RuleInfo(name, tmstNameOpt, dslType, rule, d, gather) + } + def setGather(g: Boolean): RuleInfo = { + RuleInfo(name, tmstNameOpt, dslType, rule, details, g) + } + + def getNames: Seq[String] = { + tmstNameOpt match { + case Some(tn) => name :: tn :: Nil + case _ => name :: Nil + } + } +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala index e3c54ca6a..8877384fa 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala @@ -34,49 +34,12 @@ trait RuleStep extends Serializable { } -case class TimeInfo(calcTime: Long, tmst: Long) {} +//case class TimeInfo(calcTime: Long, tmst: Long, head: String = "") { +// def key: String = if (head.nonEmpty) s"${head}${calcTime}" else s"${calcTime}" +// def setHead(h: String): TimeInfo = TimeInfo(calcTime, tmst, h) +//} + + + -object RuleDetailKeys { - val _persistName = "persist.name" - val _persistType = "persist.type" - val _collectType = "collect.type" - val _cacheDataSource = "cache.data.source" -} -import RuleDetailKeys._ -import org.apache.griffin.measure.utils.ParamUtil._ - -case class RuleInfo(name: String, tmstNameOpt: Option[String], dslType: DslType, - rule: String, details: Map[String, Any], gather: Boolean) { - - val persistName = details.getString(_persistName, name) - val persistType = PersistType(details.getString(_persistType, "")) - val collectType = CollectType(details.getString(_collectType, "")) - val cacheDataSourceOpt = details.get(_cacheDataSource).map(_.toString) - - def setName(n: String): RuleInfo = { - RuleInfo(n, tmstNameOpt, dslType, rule, details, gather) - } - def setTmstNameOpt(tnOpt: Option[String]): RuleInfo = { - RuleInfo(name, tnOpt, dslType, rule, details, gather) - } - def setDslType(dt: DslType): RuleInfo = { - RuleInfo(name, tmstNameOpt, dt, rule, details, gather) - } - def setRule(r: String): RuleInfo = { - RuleInfo(name, tmstNameOpt, dslType, r, details, gather) - } - def setDetails(d: Map[String, Any]): RuleInfo = { - RuleInfo(name, tmstNameOpt, dslType, rule, d, gather) - } - def setGather(g: Boolean): RuleInfo = { - RuleInfo(name, tmstNameOpt, dslType, rule, details, g) - } - - def getNames: Seq[String] = { - tmstNameOpt match { - case Some(tn) => name :: tn :: Nil - case _ => name :: Nil - } - } -} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/TimeInfo.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/TimeInfo.scala new file mode 100644 index 000000000..583a5c15d --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/TimeInfo.scala @@ -0,0 +1,37 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.step + +trait TimeInfo extends Serializable { + val calcTime: Long + val tmst: Long + val head: String + + def key: String = if (head.nonEmpty) s"${head}_${calcTime}" else s"${calcTime}" + def setHead(h: String): TimeInfo +} + +case class CalcTimeInfo(calcTime: Long, head: String = "") extends TimeInfo { + val tmst: Long = calcTime + def setHead(h: String): TimeInfo = CalcTimeInfo(calcTime, h) +} + +case class TmstTimeInfo(calcTime: Long, tmst: Long, head: String = "") extends TimeInfo { + def setHead(h: String): TimeInfo = TmstTimeInfo(calcTime, tmst, h) +} \ No newline at end of file diff --git a/measure/src/test/resources/config-test-accuracy-new2.json b/measure/src/test/resources/config-test-accuracy-new2.json index 29fba1e80..23e42cbe3 100644 --- a/measure/src/test/resources/config-test-accuracy-new2.json +++ b/measure/src/test/resources/config-test-accuracy-new2.json @@ -36,7 +36,7 @@ "rules": [ { "dsl.type": "spark-sql", - "name": "miss-records", + "name": "miss_records", "gather.step": true, "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.user_id, '') = coalesce(target.user_id, '') AND coalesce(source.first_name, '') = coalesce(target.first_name, '') AND coalesce(source.post_code, '') = coalesce(target.post_code, '') WHERE (NOT (source.user_id IS NULL AND source.user_id IS NULL AND source.post_code IS NULL)) AND (target.user_id IS NULL AND target.user_id IS NULL AND target.post_code IS NULL)", "details": { @@ -45,20 +45,26 @@ }, { "dsl.type": "spark-sql", - "name": "miss-count", - "rule": "SELECT count(*) as miss FROM `miss-records`" + "name": "miss_count", + "rule": "SELECT count(*) as miss FROM `miss_records`" }, { "dsl.type": "spark-sql", - "name": "total-count", + "name": "total_count", "rule": "SELECT count(*) as total FROM source" }, { "dsl.type": "spark-sql", "name": "accu", - "rule": "SELECT `miss-count`.miss, `total-count`.total, (`total-count`.total - `miss-count`.miss) as matched FROM `miss-count` FULL JOIN `total-count`", + "rule": "SELECT `miss_count`.miss, `total_count`.total, (`total_count`.total - `miss_count`.miss) as matched FROM `miss_count` FULL JOIN `total_count`" + }, + { + "dsl.type": "df-opr", + "name": "accu", + "rule": "accuracy", "details": { - "persist.type": "metric" + "persist.type": "metric", + "df.name": "accu" } } ] diff --git a/measure/src/test/resources/config-test-profiling-new.json b/measure/src/test/resources/config-test-profiling-new.json index 52946bceb..47a029ed9 100644 --- a/measure/src/test/resources/config-test-profiling-new.json +++ b/measure/src/test/resources/config-test-profiling-new.json @@ -41,7 +41,7 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "name": "dist-name", + "name": "dist_name", "rule": "select count ( distinct source.post_code ) as `dis-cnt`, max(source.user_id) from source", "details": { "persist.type": "metric" @@ -69,7 +69,7 @@ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "name": "temp-res", + "name": "temp_res", "rule": "select count(distinct user_id) as `id-dist-cnt` from temp", "details": { "persist.type": "metric" diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 732732b95..8fb239759 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -20,7 +20,7 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process._ import org.apache.griffin.measure.process.temp._ -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.step.{CalcTimeInfo, TimeInfo} import org.apache.griffin.measure.utils.JsonUtil import org.junit.runner.RunWith import org.scalatest.junit.JUnitRunner @@ -64,9 +64,10 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w // println(s"${step}") // } - TempTables.registerTempTableNameOnly(TempKeys.key(123), "source") + val timeInfo = CalcTimeInfo(123) + TempTables.registerTempTableNameOnly(timeInfo.key, "source") - val ris = adaptor.genRuleInfos(rule, 123) + val ris = adaptor.genRuleInfos(rule, timeInfo) ris.foreach(println) } diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala index d930c5c5b..dc966e1ec 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala @@ -23,7 +23,7 @@ import org.apache.griffin.measure.config.params.user.UserParam import org.apache.griffin.measure.config.reader.ParamReaderFactory import org.apache.griffin.measure.process._ import org.apache.griffin.measure.process.temp._ -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.step.{CalcTimeInfo, TimeInfo, TmstTimeInfo} import org.apache.griffin.measure.utils.JsonUtil import org.junit.runner.RunWith import org.scalatest.junit.JUnitRunner @@ -41,8 +41,9 @@ class RuleAdaptorGroupTest extends FunSuite with Matchers with BeforeAndAfter wi "source", "coalesce" :: "count" :: "upper" :: Nil ) - TempTables.registerTempTableNameOnly(TempKeys.key(123), "source") - TempTables.registerTempTableNameOnly(TempKeys.key(123), "target") + val timeInfo = CalcTimeInfo(123) + TempTables.registerTempTableNameOnly(timeInfo.key, "source") + TempTables.registerTempTableNameOnly(timeInfo.key, "target") val confFile = "src/test/resources/config-test-accuracy-new.json" @@ -54,7 +55,7 @@ class RuleAdaptorGroupTest extends FunSuite with Matchers with BeforeAndAfter wi val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](111, 222, 333))) val steps = RuleAdaptorGroup.genRuleSteps( - TimeInfo(123, 321), + TmstTimeInfo(123, 321), userParam.evaluateRuleParam, dsTmsts ) From 0b664747efaaabb3e2ebd68f6adf1b31fad0f671 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 20 Dec 2017 16:37:40 +0800 Subject: [PATCH 068/177] performance bad --- .../data/connector/DataConnector.scala | 26 +-- .../measure/process/BatchDqProcess.scala | 3 +- .../process/engine/DataFrameOprEngine.scala | 5 + .../measure/process/engine/DqEngine.scala | 2 +- .../measure/process/engine/DqEngines.scala | 4 +- .../process/engine/SparkDqEngine.scala | 21 +- .../process/engine/SparkSqlEngine.scala | 6 +- .../measure/process/temp/TempTables.scala | 14 ++ .../rule/adaptor/GriffinDslAdaptor.scala | 219 +++++++++++++++--- .../rule/adaptor/RuleAdaptorGroup.scala | 2 +- .../griffin/measure/rule/step/RuleInfo.scala | 4 + 11 files changed, 243 insertions(+), 63 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 724d8914c..4ff0d0262 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -41,7 +41,7 @@ trait DataConnector extends Loggable with Serializable { var tmstCache: TmstCache = _ protected def saveTmst(t: Long) = tmstCache.insert(t) - protected def readTmst(t: Long) = tmstCache.range(t, t + 1) + protected def readTmst(t: Long) = tmstCache.range(t, t + 20) def init(): Unit @@ -94,20 +94,20 @@ trait DataConnector extends Loggable with Serializable { // } // } -// val range = if (id == "dc1") (0 until 20).toList else (0 until 1).toList -// val withTmstDfs = range.map { i => -// saveTmst(ms + i) -// outDf.withColumn(tmstColName, lit(ms + i)).limit(49 - i) -// } -// Some(withTmstDfs.reduce(_ unionAll _)) + val range = if (id == "dc1") (0 until 10).toList else (0 until 1).toList + val withTmstDfs = range.map { i => + saveTmst(ms + i) + outDf.withColumn(tmstColName, lit(ms + i)).limit(49 - i) + } + Some(withTmstDfs.reduce(_ unionAll _)) // add tmst - val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) - - // tmst cache - saveTmst(ms) - - Some(withTmstDf) +// val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) +// +// // tmst cache +// saveTmst(ms) +// +// Some(withTmstDf) } } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 42cee6efe..55b16c001 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -145,11 +145,12 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // } // // // -- test -- -// sqlContext.tables().show(50) + sqlContext.tables().show(50) } private def cleanData(timeInfo: TimeInfo): Unit = { TempTables.unregisterTempTables(sqlContext, timeInfo.key) + TempTables.unregisterGlobalTables(sqlContext) } def end: Try[_] = Try { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index 1b1188d89..15bde74e1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -51,6 +51,7 @@ case class DataFrameOprEngine(sqlContext: SQLContext) extends SparkDqEngine { } case DataFrameOprs._accuracy => { val df = DataFrameOprs.accuracy(sqlContext, ti, ri) + df.show(10) ri.getNames.foreach(TempTables.registerTempTable(df, ti.key, _)) } case DataFrameOprs._clear => { @@ -113,6 +114,8 @@ object DataFrameOprs { val _enableIgnoreCache = "enable.ignore.cache" val enableIgnoreCache = details.getBoolean(_enableIgnoreCache, false) + val tmst = InternalColumns.tmst + val updateTime = new Date().getTime def getLong(r: Row, k: String): Long = { @@ -124,6 +127,7 @@ object DataFrameOprs { } val df = sqlContext.table(s"`${dfName}`") + df.show(10) val results = df.flatMap { row => try { val missCount = getLong(row, miss) @@ -156,6 +160,7 @@ object DataFrameOprs { )) } else { StructType(Array( +// StructField(tmst, LongType), StructField(miss, LongType), StructField(total, LongType), StructField(matched, LongType) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index dd72dccb1..2d712d38f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -33,7 +33,7 @@ trait DqEngine extends Loggable with Serializable { protected def collectable(): Boolean = false - def collectMetrics(ruleStep: ConcreteRuleStep): Option[(Long, Map[String, Any])] + def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] // def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] // diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index d7932303d..a2e5070ed 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -152,8 +152,8 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { // engine.collectUpdateCacheDatas(ruleStep, timeGroups) // }.headOption // } - def collectMetrics(ruleStep: ConcreteRuleStep): Option[(Long, Map[String, Any])] = { - val ret = engines.foldLeft(None: Option[(Long, Map[String, Any])]) { (ret, engine) => + def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] = { + val ret = engines.foldLeft(Map[Long, Map[String, Any]]()) { (ret, engine) => if (ret.nonEmpty) ret else engine.collectMetrics(ruleStep) } ret diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index e87547ea3..596da3f7e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -31,9 +31,11 @@ trait SparkDqEngine extends DqEngine { val sqlContext: SQLContext - def collectMetrics(ruleStep: ConcreteRuleStep): Option[(Long, Map[String, Any])] = { + val emptyMetricMap = Map[Long, Map[String, Any]]() + val emptyMap = Map[String, Any]() + + def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] = { if (collectable) { - val emptyMap = Map[String, Any]() ruleStep match { case step: ConcreteRuleStep if (step.ruleInfo.persistType == MetricPersistType) => { val tmst = step.timeInfo.tmst @@ -43,6 +45,7 @@ trait SparkDqEngine extends DqEngine { case Some(metricTmstName) => { try { val pdf = sqlContext.table(s"`${metricTmstName}`") + val records: Array[String] = pdf.toJSON.collect() if (records.size > 0) { @@ -54,7 +57,7 @@ trait SparkDqEngine extends DqEngine { case e: Throwable => None } }.toSeq - val metrics = step.ruleInfo.collectType match { + val metrics: Map[String, Any] = step.ruleInfo.collectType match { case EntriesCollectType => flatRecords.headOption.getOrElse(emptyMap) case ArrayCollectType => Map[String, Any]((metricName -> flatRecords)) case MapCollectType => { @@ -66,24 +69,24 @@ trait SparkDqEngine extends DqEngine { else flatRecords.headOption.getOrElse(emptyMap) } } - Some((tmst, metrics)) + emptyMetricMap + (tmst -> metrics) } else { info(s"empty metrics in table `${metricTmstName}`, not persisted") - None + emptyMetricMap } } catch { case e: Throwable => { error(s"collect metrics ${metricTmstName} error: ${e.getMessage}") - None + emptyMetricMap } } } - case _ => None + case _ => emptyMetricMap } } - case _ => None + case _ => emptyMetricMap } - } else None + } else emptyMetricMap } def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index cd96036fa..b5093e307 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -41,7 +41,11 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { case SparkSqlStep(ti, ri) => { try { val rdf = sqlContext.sql(ri.rule) - ri.getNames.foreach(TempTables.registerTempTable(rdf, ti.key, _)) + if (ri.global) { + ri.getNames.foreach(TempTables.registerGlobalTable(rdf, _)) + } else { + ri.getNames.foreach(TempTables.registerTempTable(rdf, ti.key, _)) + } true } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala index 5810b6990..c646eca0f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala @@ -25,6 +25,8 @@ import scala.collection.concurrent.{TrieMap, Map => ConcMap} object TempTables extends Loggable { + final val _global = "_global" + val tables: ConcMap[String, Set[String]] = TrieMap[String, Set[String]]() private def registerTable(key: String, table: String): Unit = { @@ -75,6 +77,10 @@ object TempTables extends Loggable { // ----- + def registerGlobalTable(df: DataFrame, table: String): Unit = { + registerTempTable(df, _global, table) + } + def registerTempTable(df: DataFrame, key: String, table: String): Unit = { registerTable(key, table) df.registerTempTable(table) @@ -88,10 +94,18 @@ object TempTables extends Loggable { unregisterTable(key, table).foreach(dropTempTable(sqlContext, _)) } + def unregisterGlobalTables(sqlContext: SQLContext): Unit = { + unregisterTempTables(sqlContext, _global) + } + def unregisterTempTables(sqlContext: SQLContext, key: String): Unit = { unregisterTables(key).foreach(dropTempTable(sqlContext, _)) } + def existGlobalTable(table: String): Boolean = { + existTable(_global, table) + } + def existTable(key: String, table: String): Boolean = { tables.get(key) match { case Some(set) => set.exists(_ == table) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 98b6611e7..6af548506 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -75,6 +75,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } + // group by version private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { val calcTime = timeInfo.calcTime val details = ruleInfo.details @@ -102,79 +103,227 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" } val missRecordsName = AccuracyKeys._missRecords -// val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) + // val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) val missRecordsRuleInfo = RuleInfo(missRecordsName, None, SparkSqlType, missRecordsSql, missRecordsParams, true) -// val missRecordsStep = SparkSqlStep( -// timeInfo, -// RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) -// ) + // val missRecordsStep = SparkSqlStep( + // timeInfo, + // RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) + // ) // 2. miss count val missTableName = "_miss_" // val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) val missColName = details.getStringOrKey(AccuracyKeys._miss) val missSql = { - s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" + s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${InternalColumns.tmst}`" } val missRuleInfo = RuleInfo(missTableName, None, SparkSqlType, - missSql, Map[String, Any](), false) -// val missStep = SparkSqlStep( -// timeInfo, -// RuleInfo(missTableName, None, missSql, Map[String, Any]()) -// ) + missSql, Map[String, Any](), true) + // val missStep = SparkSqlStep( + // timeInfo, + // RuleInfo(missTableName, None, missSql, Map[String, Any]()) + // ) // 3. total count val totalTableName = "_total_" // val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) val totalColName = details.getStringOrKey(AccuracyKeys._total) val totalSql = { - s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}`" } val totalRuleInfo = RuleInfo(totalTableName, None, SparkSqlType, - totalSql, Map[String, Any](), false) -// val totalStep = SparkSqlStep( -// timeInfo, -// RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) -// ) + totalSql, Map[String, Any](), true) + // val totalStep = SparkSqlStep( + // timeInfo, + // RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) + // ) // 4. accuracy metric val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleInfo.name) -// val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) + // val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) val matchedColName = details.getStringOrKey(AccuracyKeys._matched) val accuracyMetricSql = { s""" - |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, - |`${totalTableName}`.`${totalColName}` AS `${totalColName}` + |SELECT `${totalTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, + |`${missTableName}`.`${missColName}` AS `${missColName}`, + |`${totalTableName}`.`${totalColName}` AS `${totalColName}`, + |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` |FROM `${totalTableName}` FULL JOIN `${missTableName}` + |ON `${totalTableName}`.`${InternalColumns.tmst}` = `${missTableName}`.`${InternalColumns.tmst}` """.stripMargin } // val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// val accuracyMetricRuleInfo = RuleInfo(accuracyMetricName, None, SparkSqlType, +// accuracyMetricSql, Map[String, Any](), true) + val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) + .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) val accuracyMetricRuleInfo = RuleInfo(accuracyMetricName, None, SparkSqlType, - accuracyMetricSql, Map[String, Any](), false) -// val accuracyMetricStep = SparkSqlStep( -// timeInfo, -// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, Map[String, Any]()) -// ) + accuracyMetricSql, Map[String, Any](), true) - // 5. accuracy metric filter - val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) - .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) + // 5. accuracy metric merge + val globalMetricName = "accu_global" + val globalAccuSql = if (TempTables.existGlobalTable(globalMetricName)) { + s""" + |SELECT coalesce(`${globalMetricName}`.`${InternalColumns.tmst}`, `${accuracyMetricName}`.`${InternalColumns.tmst}`) AS `${InternalColumns.tmst}`, + |coalesce(`${accuracyMetricName}`.`${missColName}`, `${globalMetricName}`.`${missColName}`) AS `${missColName}`, + |coalesce(`${globalMetricName}`.`${totalColName}`, `${accuracyMetricName}`.`${totalColName}`) AS `${totalColName}`, + |(`${totalColName}` - `${missColName}`) AS `${matchedColName}`, + |(`${totalColName}` = 0) AS `empty`, + |(`${missColName}` = 0) AS `no_miss`, + |(`${accuracyMetricName}`.`${missColName}` < `${globalMetricName}`.`${missColName}`) AS `update` + |FROM `${globalMetricName}` FULL JOIN `${accuracyMetricName}` + |ON `${globalMetricName}`.`${InternalColumns.tmst}` = `${accuracyMetricName}`.`${InternalColumns.tmst}` + """.stripMargin + } else { + s""" + |SELECT `${accuracyMetricName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, + |`${accuracyMetricName}`.`${missColName}` AS `${missColName}`, + |`${accuracyMetricName}`.`${totalColName}` AS `${totalColName}`, + |(`${totalColName}` - `${missColName}`) AS `${matchedColName}`, + |(`${totalColName}` = 0) AS `empty`, + |(`${missColName}` = 0) AS `no_miss`, + |true AS `update` + |FROM `${accuracyMetricName}` + """.stripMargin + } + val globalAccuParams = Map[String, Any]( + ("global" -> true) + ) + val mergeRuleInfo = RuleInfo(globalMetricName, None, SparkSqlType, + globalAccuSql, globalAccuParams, true) + + // 6. persist metrics + val persistMetricName = "persist" + val persistSql = { + s""" + |SELECT `${InternalColumns.tmst}`, `${missColName}`, `${totalColName}`, `${matchedColName}` + |FROM `${globalMetricName}` + |WHERE `update` + """.stripMargin + } + val persistParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) - val accuracyRuleInfo = RuleInfo(accuracyMetricName, None, DfOprType, - "accuracy", accuracyParams, false) -// val accuracyStep = DfOprStep( -// timeInfo, -// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), "accuracy", accuracyParams) -// ) + val persistRuleInfo = RuleInfo(persistMetricName, None, SparkSqlType, + persistSql, persistParams, true) + // 5. accuracy metric filter +// val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) +// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) +// val accuracyRuleInfo = RuleInfo(accuracyMetricName, None, DfOprType, +// "accuracy", accuracyParams, true) + +// missRecordsRuleInfo :: missRuleInfo :: totalRuleInfo :: +// accuracyMetricRuleInfo :: accuracyRuleInfo :: Nil missRecordsRuleInfo :: missRuleInfo :: totalRuleInfo :: - accuracyMetricRuleInfo :: accuracyRuleInfo :: Nil + accuracyMetricRuleInfo :: mergeRuleInfo :: persistRuleInfo :: Nil } } + +// private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { +// val calcTime = timeInfo.calcTime +// val details = ruleInfo.details +// val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) +// val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) +// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) +// +// if (!TempTables.existTable(timeInfo.key, sourceName)) { +// Nil +// } else { +// // 1. miss record +// val missRecordsSql = if (!TempTables.existTable(timeInfo.key, targetName)) { +// val selClause = s"`${sourceName}`.*" +// s"SELECT ${selClause} FROM `${sourceName}`" +// } else { +// val selClause = s"`${sourceName}`.*" +// val onClause = expr.coalesceDesc +// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val targetIsNull = analyzer.targetSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" +// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" +// } +// val missRecordsName = AccuracyKeys._missRecords +//// val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) +// val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) +// .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) +// val missRecordsRuleInfo = RuleInfo(missRecordsName, None, SparkSqlType, +// missRecordsSql, missRecordsParams, true) +//// val missRecordsStep = SparkSqlStep( +//// timeInfo, +//// RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) +//// ) +// +// // 2. miss count +// val missTableName = "_miss_" +// // val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) +// val missColName = details.getStringOrKey(AccuracyKeys._miss) +// val missSql = { +// s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" +// } +// val missRuleInfo = RuleInfo(missTableName, None, SparkSqlType, +// missSql, Map[String, Any](), false) +//// val missStep = SparkSqlStep( +//// timeInfo, +//// RuleInfo(missTableName, None, missSql, Map[String, Any]()) +//// ) +// +// // 3. total count +// val totalTableName = "_total_" +// // val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) +// val totalColName = details.getStringOrKey(AccuracyKeys._total) +// val totalSql = { +// s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" +// } +// val totalRuleInfo = RuleInfo(totalTableName, None, SparkSqlType, +// totalSql, Map[String, Any](), false) +//// val totalStep = SparkSqlStep( +//// timeInfo, +//// RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) +//// ) +// +// // 4. accuracy metric +// val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleInfo.name) +//// val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) +// val matchedColName = details.getStringOrKey(AccuracyKeys._matched) +// val accuracyMetricSql = { +// s""" +// |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, +// |`${totalTableName}`.`${totalColName}` AS `${totalColName}` +// |FROM `${totalTableName}` FULL JOIN `${missTableName}` +// """.stripMargin +// } +// // val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// val accuracyMetricRuleInfo = RuleInfo(accuracyMetricName, None, SparkSqlType, +// accuracyMetricSql, Map[String, Any](), false) +//// val accuracyMetricStep = SparkSqlStep( +//// timeInfo, +//// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, Map[String, Any]()) +//// ) +// +// // 5. accuracy metric filter +// val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) +// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) +// val accuracyRuleInfo = RuleInfo(accuracyMetricName, None, DfOprType, +// "accuracy", accuracyParams, false) +//// val accuracyStep = DfOprStep( +//// timeInfo, +//// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), "accuracy", accuracyParams) +//// ) +// +// missRecordsRuleInfo :: missRuleInfo :: totalRuleInfo :: +// accuracyMetricRuleInfo :: accuracyRuleInfo :: Nil +// } +// } private def profilingRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { val details = ruleInfo.details val profilingClause = expr.asInstanceOf[ProfilingClause] diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index b10ab59f0..b7e1207aa 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -134,7 +134,7 @@ object RuleAdaptorGroup { val (curRuleInfos, curNames) = genRuleAdaptor(dslType, preNames) match { case Some(adaptor) => { val ris = adaptor.genRuleInfos(param, timeInfo) - val rins = ris.map(_.name) + val rins = ris.filter(!_.global).map(_.name) (ris, rins) } case _ => (Nil, Nil) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala index c2d4b6561..ec820fbc1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala @@ -25,6 +25,8 @@ object RuleDetailKeys { val _persistType = "persist.type" val _collectType = "collect.type" val _cacheDataSource = "cache.data.source" + + val _global = "global" } import RuleDetailKeys._ import org.apache.griffin.measure.utils.ParamUtil._ @@ -37,6 +39,8 @@ case class RuleInfo(name: String, tmstNameOpt: Option[String], dslType: DslType, val collectType = CollectType(details.getString(_collectType, "")) val cacheDataSourceOpt = details.get(_cacheDataSource).map(_.toString) + val global = details.getBoolean(_global, false) + def setName(n: String): RuleInfo = { RuleInfo(n, tmstNameOpt, dslType, rule, details, gather) } From 725ee4009da27bf694c4f932fac5def690aedc8b Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Sun, 24 Dec 2017 22:29:50 +0800 Subject: [PATCH 069/177] define config json, need to treat metric and record persist as extra process outside of pipeline, batch and streaming with different rule adaptor, to treat tmst column --- .../measure/process/BatchDqProcess.scala | 2 + .../resources/_accuracy-batch-griffindsl.json | 56 +++++++ .../resources/_accuracy-batch-sparksql.json | 63 ++++++++ .../_accuracy-streaming-griffindsl.json | 117 ++++++++++++++ .../_accuracy-streaming-sparksql.json | 144 ++++++++++++++++++ .../_profiling-batch-griffindsl.json | 46 ++++++ .../resources/_profiling-batch-sparksql.json | 44 ++++++ .../_profiling-streaming-griffindsl.json | 74 +++++++++ .../_profiling-streaming-sparksql.json | 72 +++++++++ 9 files changed, 618 insertions(+) create mode 100644 measure/src/test/resources/_accuracy-batch-griffindsl.json create mode 100644 measure/src/test/resources/_accuracy-batch-sparksql.json create mode 100644 measure/src/test/resources/_accuracy-streaming-griffindsl.json create mode 100644 measure/src/test/resources/_accuracy-streaming-sparksql.json create mode 100644 measure/src/test/resources/_profiling-batch-griffindsl.json create mode 100644 measure/src/test/resources/_profiling-batch-sparksql.json create mode 100644 measure/src/test/resources/_profiling-streaming-griffindsl.json create mode 100644 measure/src/test/resources/_profiling-streaming-sparksql.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 55b16c001..9e12d2865 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -107,6 +107,8 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // run rules dqEngines.runRuleSteps(ruleSteps) + // persist engines... + // persist results val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) diff --git a/measure/src/test/resources/_accuracy-batch-griffindsl.json b/measure/src/test/resources/_accuracy-batch-griffindsl.json new file mode 100644 index 000000000..10167cd19 --- /dev/null +++ b/measure/src/test/resources/_accuracy-batch-griffindsl.json @@ -0,0 +1,56 @@ +{ + "name": "accu_batch", + + "process.type": "batch", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + }, { + "name": "target", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_target.avro" + } + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "accuracy", + "name": "accu", + "rule": "source.user_id = target.user_id AND upper(source.first_name) = upper(target.first_name) AND source.last_name = target.last_name AND source.address = target.address AND source.email = target.email AND source.phone = target.phone AND source.post_code = target.post_code", + "details": { + "source": "source", + "target": "target", + "miss": "miss_count", + "total": "total_count", + "matched": "matched_count" + }, + "metric": { + "name": "accu" + }, + "record": { + "name": "missRecords" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_accuracy-batch-sparksql.json b/measure/src/test/resources/_accuracy-batch-sparksql.json new file mode 100644 index 000000000..b401d5653 --- /dev/null +++ b/measure/src/test/resources/_accuracy-batch-sparksql.json @@ -0,0 +1,63 @@ +{ + "name": "accu_batch", + + "process.type": "batch", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + }, { + "name": "target", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_target.avro" + } + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "missRecords", + "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.user_id, '') = coalesce(target.user_id, '') AND coalesce(source.first_name, '') = coalesce(target.first_name, '') AND coalesce(source.post_code, '') = coalesce(target.post_code, '') WHERE (NOT (source.user_id IS NULL AND source.user_id IS NULL AND source.post_code IS NULL)) AND (target.user_id IS NULL AND target.user_id IS NULL AND target.post_code IS NULL)", + "record": { + "name": "miss" + } + }, + { + "dsl.type": "spark-sql", + "name": "miss_count", + "rule": "SELECT count(*) as miss FROM `missRecords`" + }, + { + "dsl.type": "spark-sql", + "name": "total_count", + "rule": "SELECT count(*) as total FROM source" + }, + { + "dsl.type": "spark-sql", + "name": "accu", + "rule": "SELECT `miss_count`.`miss` AS `miss`, `total_count`.`total` AS `total`, (`total` - `miss`) AS `matched` FROM `miss_count` FULL JOIN `total_count`", + "metric": { + "name": "accu" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_accuracy-streaming-griffindsl.json b/measure/src/test/resources/_accuracy-streaming-griffindsl.json new file mode 100644 index 000000000..1064a6f2a --- /dev/null +++ b/measure/src/test/resources/_accuracy-streaming-griffindsl.json @@ -0,0 +1,117 @@ +{ + "name": "accu_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + }, { + "name": "target", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "ttt", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${t1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${t1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/target", + "info.path": "target", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "accuracy", + "name": "accu", + "rule": "source.name = target.name and source.age = target.age", + "details": { + "source": "source", + "target": "target", + "miss": "miss_count", + "total": "total_count", + "matched": "matched_count" + }, + "metric": { + "name": "accu" + }, + "record": { + "name": "missRecords", + "update.data.source": "source" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_accuracy-streaming-sparksql.json b/measure/src/test/resources/_accuracy-streaming-sparksql.json new file mode 100644 index 000000000..c72b0ab54 --- /dev/null +++ b/measure/src/test/resources/_accuracy-streaming-sparksql.json @@ -0,0 +1,144 @@ +{ + "name": "accu_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + }, { + "name": "target", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "ttt", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${t1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${t1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/target", + "info.path": "target", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "missRecords", + "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.name, '') = coalesce(target.name, '') AND coalesce(source.age, '') = coalesce(target.age, '') WHERE (NOT (source.name IS NULL AND source.age IS NULL)) AND (target.name IS NULL AND target.age IS NULL)" + }, + { + "dsl.type": "spark-sql", + "name": "miss_count", + "rule": "SELECT `__tmst`, count(*) as miss FROM `missRecords` GROUP BY `__tmst`" + }, + { + "dsl.type": "spark-sql", + "name": "total_count", + "rule": "SELECT `__tmst`, count(*) as total FROM source GROUP BY `__tmst`" + }, + { + "dsl.type": "spark-sql", + "name": "accu", + "rule": "SELECT `miss_count`.`__tmst`, `miss_count`.`miss` AS `miss`, `total_count`.`total` AS `total`, (`total` - `miss`) AS `matched` FROM `miss_count` FULL JOIN `total_count` ON `miss_count`.`__tmst` = `total_count`.`__tmst`" + }, + { + "dsl.type": "spark-sql", + "name": "global_accu", + "global": true, + "global.init.rule": "SELECT *, (true) AS `__metric`, (true) AS `__record` FROM `accu`", + "rule": "SELECT coalesce(`global_accu`.`__tmst`, `accu`.`__tmst`) AS `__tmst`, coalesce(`accu`.`miss`, `global_accu`.`miss`) AS `miss`, coalesce(`global_accu`.`total`, `accu`.`total`) AS `total`, (`total` - `miss`) AS `matched`, (`accu`.`miss` < `global_accu`.`miss`) AS `__metric`, (`__metric` AND `matched` > 0) AS `__record` FROM `global_accu` FULL JOIN `accu` ON `global_accu`.`__tmst` = `accu`.`__tmst`" + }, + { + "dsl.type": "spark-sql", + "name": "metric_accu", + "rule": "SELECT * FROM `global_accu` WHERE `__metric`", + "metric": { + "name": "accu", + "group.key": "__tmst" + } + }, + { + "dsl.type": "spark-sql", + "name": "record_accu", + "rule": "SELECT * FROM `global_accu` WHERE `__record`", + "record": { + "name": "miss", + "update.data.source": "source", + "group.key": "__tmst", + "records.table": "missRecords" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_profiling-batch-griffindsl.json b/measure/src/test/resources/_profiling-batch-griffindsl.json new file mode 100644 index 000000000..cd99eb150 --- /dev/null +++ b/measure/src/test/resources/_profiling-batch-griffindsl.json @@ -0,0 +1,46 @@ +{ + "name": "prof_batch", + + "process.type": "batch", + + "timestamp": 123456, + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "prof", + "rule": "select count(*) as `cnt`, count(distinct `post_code`) as `dis-cnt`, max(user_id) as `max` from source", + "metric": { + "name": "prof" + } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "grp", + "rule": "select post_code as `pc`, count(*) as `cnt` from source group by post_code", + "metric": { + "name": "post_group", + "collect.type": "array" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_profiling-batch-sparksql.json b/measure/src/test/resources/_profiling-batch-sparksql.json new file mode 100644 index 000000000..fdfd812e4 --- /dev/null +++ b/measure/src/test/resources/_profiling-batch-sparksql.json @@ -0,0 +1,44 @@ +{ + "name": "prof_batch", + + "process.type": "batch", + + "timestamp": 123456, + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "prof", + "rule": "select count(*) as `cnt`, count(distinct `post_code`) as `dis-cnt`, max(user_id) as `max` from source", + "metric": { + "name": "prof" + } + }, + { + "dsl.type": "spark-sql", + "name": "grp", + "rule": "select post_code as `pc`, count(*) as `cnt` from source group by post_code", + "metric": { + "name": "post_group", + "collect.type": "array" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_profiling-streaming-griffindsl.json b/measure/src/test/resources/_profiling-streaming-griffindsl.json new file mode 100644 index 000000000..e662897bd --- /dev/null +++ b/measure/src/test/resources/_profiling-streaming-griffindsl.json @@ -0,0 +1,74 @@ +{ + "name": "prof_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["0", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "prof", + "rule": "select count(name) as `cnt`, max(age) as `max`, min(age) as `min` from source", + "metric": { + "name": "prof" + } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "grp", + "rule": "select name, count(*) as `cnt` from source group by name", + "metric": { + "name": "name_group", + "collect.type": "array" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_profiling-streaming-sparksql.json b/measure/src/test/resources/_profiling-streaming-sparksql.json new file mode 100644 index 000000000..85974c7c5 --- /dev/null +++ b/measure/src/test/resources/_profiling-streaming-sparksql.json @@ -0,0 +1,72 @@ +{ + "name": "prof_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["0", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "prof", + "rule": "select count(name) as `cnt`, max(age) as `max`, min(age) as `min` from source", + "metric": { + "name": "prof" + } + }, + { + "dsl.type": "spark-sql", + "name": "grp", + "rule": "select name, count(*) as `cnt` from source group by name", + "metric": { + "name": "name_group", + "collect.type": "array" + } + } + ] + } +} \ No newline at end of file From 5a5dff6a54f77aaaadc7db6d1414643c3255580c Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Sun, 24 Dec 2017 22:42:37 +0800 Subject: [PATCH 070/177] streaming accuracy config json update, persist processes in batch and streaming mode are different, considering take different process in data source pre-process --- .../src/test/resources/_accuracy-streaming-sparksql.json | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/measure/src/test/resources/_accuracy-streaming-sparksql.json b/measure/src/test/resources/_accuracy-streaming-sparksql.json index c72b0ab54..052d2562f 100644 --- a/measure/src/test/resources/_accuracy-streaming-sparksql.json +++ b/measure/src/test/resources/_accuracy-streaming-sparksql.json @@ -124,8 +124,7 @@ "name": "metric_accu", "rule": "SELECT * FROM `global_accu` WHERE `__metric`", "metric": { - "name": "accu", - "group.key": "__tmst" + "name": "accu" } }, { @@ -133,10 +132,9 @@ "name": "record_accu", "rule": "SELECT * FROM `global_accu` WHERE `__record`", "record": { - "name": "miss", + "name": "missRecords", "update.data.source": "source", - "group.key": "__tmst", - "records.table": "missRecords" + "origin.DF": "missRecords" } } ] From f2ad36e4a0821a1e454fa3ef8a7da27c349c129e Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 25 Dec 2017 10:01:11 +0800 Subject: [PATCH 071/177] update profiling streaming spark sql config json --- .../src/test/resources/_profiling-streaming-sparksql.json | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/measure/src/test/resources/_profiling-streaming-sparksql.json b/measure/src/test/resources/_profiling-streaming-sparksql.json index 85974c7c5..4f0b0ee35 100644 --- a/measure/src/test/resources/_profiling-streaming-sparksql.json +++ b/measure/src/test/resources/_profiling-streaming-sparksql.json @@ -66,6 +66,14 @@ "name": "name_group", "collect.type": "array" } + }, + { + "dsl.type": "spark-sql", + "name": "tmst_grp", + "rule": "select `__tmst`, count(*) as `cnt` from source group by `__tmst`", + "metric": { + "name": "tmst_group" + } } ] } From 8d55964f0e9c41b56a378c98ab3d7592294b357f Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 26 Dec 2017 22:18:19 +0800 Subject: [PATCH 072/177] pass batch --- .../data/connector/DataConnector.scala | 27 +- .../measure/data/source/DataSource.scala | 6 +- .../measure/process/BatchDqProcess.scala | 43 +- .../measure/process/StreamingDqThread.scala | 172 ++--- .../process/engine/DataFrameOprEngine.scala | 209 +++--- .../measure/process/engine/DqEngine.scala | 11 +- .../measure/process/engine/DqEngines.scala | 123 ++-- .../process/engine/SparkDqEngine.scala | 166 +++-- .../process/engine/SparkSqlEngine.scala | 29 +- .../measure/process/temp/TableRegisters.scala | 145 ++++ .../{TempTables.scala => TableRegs.scala} | 59 +- .../rule/adaptor/DataFrameOprAdaptor.scala | 12 +- .../rule/adaptor/GriffinDslAdaptor.scala | 644 +++++++++++++----- .../rule/adaptor/InternalColumns.scala | 29 + .../measure/rule/adaptor/RuleAdaptor.scala | 144 +++- .../rule/adaptor/RuleAdaptorGroup.scala | 235 ++++--- .../rule/adaptor/SparkSqlAdaptor.scala | 13 +- .../griffin/measure/rule/plan/DfOprStep.scala | 32 + .../measure/rule/plan/MetricExport.scala | 28 + .../measure/rule/plan/RecordExport.scala | 27 + .../measure/rule/plan/RuleExport.scala | 27 + .../griffin/measure/rule/plan/RulePlan.scala | 54 ++ .../griffin/measure/rule/plan/RuleStep.scala | 35 + .../measure/rule/plan/SparkSqlStep.scala | 31 + .../griffin/measure/utils/ParamUtil.scala | 15 + .../griffin/measure/utils/TimeUtil.scala | 9 +- .../resources/_accuracy-batch-griffindsl.json | 9 +- .../resources/_accuracy-batch-sparksql.json | 2 +- .../_accuracy-streaming-griffindsl.json | 5 +- .../_accuracy-streaming-sparksql.json | 20 +- .../rule/adaptor/GriffinDslAdaptorTest.scala | 37 +- .../rule/adaptor/RuleAdaptorGroupTest.scala | 16 +- 32 files changed, 1627 insertions(+), 787 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegisters.scala rename measure/src/main/scala/org/apache/griffin/measure/process/temp/{TempTables.scala => TableRegs.scala} (52%) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/plan/DfOprStep.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/plan/RulePlan.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleStep.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/plan/SparkSqlStep.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 4ff0d0262..3161cb541 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -25,8 +25,8 @@ import org.apache.griffin.measure.config.params.user.DataConnectorParam import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.{BatchDqProcess, BatchProcessType} import org.apache.griffin.measure.process.engine._ -import org.apache.griffin.measure.process.temp.TempTables -import org.apache.griffin.measure.rule.adaptor.{PreProcPhase, RuleAdaptorGroup, RunPhase} +import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.rule.adaptor.{InternalColumns, PreProcPhase, RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.preproc.PreProcRuleGenerator import org.apache.griffin.measure.rule.step.{CalcTimeInfo, TimeInfo} @@ -69,23 +69,24 @@ trait DataConnector extends Loggable with Serializable { try { dfOpt.flatMap { df => // in data - TempTables.registerTempTable(df, timeInfo.key, thisTable) + TableRegisters.registerRunTempTable(df, timeInfo.key, thisTable) // val dsTmsts = Map[String, Set[Long]]((thisTable -> Set[Long](ms))) val tmsts = Seq[Long](ms) // generate rule steps - val ruleSteps = RuleAdaptorGroup.genRuleSteps( - timeInfo, preProcRules, tmsts, DslType("spark-sql"), PreProcPhase) + val rulePlan = RuleAdaptorGroup.genRulePlan( + timeInfo, preProcRules, SparkSqlType, BatchProcessType) // run rules - dqEngines.runRuleSteps(ruleSteps) + dqEngines.runRuleSteps(timeInfo, rulePlan.ruleSteps) // out data val outDf = sqlContext.table(s"`${thisTable}`") + println(outDf.count) // drop temp tables - TempTables.unregisterTempTables(sqlContext, timeInfo.key) + TableRegisters.unregisterRunTempTables(sqlContext, timeInfo.key) // names.foreach { name => // try { // TempTables.unregisterTempTable(sqlContext, ms, name) @@ -94,7 +95,7 @@ trait DataConnector extends Loggable with Serializable { // } // } - val range = if (id == "dc1") (0 until 10).toList else (0 until 1).toList + val range = if (id == "dc1") (0 until 20).toList else (0 until 1).toList val withTmstDfs = range.map { i => saveTmst(ms + i) outDf.withColumn(tmstColName, lit(ms + i)).limit(49 - i) @@ -133,13 +134,3 @@ object DataConnectorIdGenerator { } } -object InternalColumns { - val tmst = "__tmst" - val ignoreCache = "__ignoreCache" - - val columns = List[String](tmst, ignoreCache) - - def clearInternalColumns(v: Map[String, Any]): Map[String, Any] = { - v -- columns - } -} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 6db96eb89..c322170fe 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -23,7 +23,7 @@ import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.data.connector.batch._ import org.apache.griffin.measure.data.connector.streaming._ import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TableRegisters import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row, SQLContext} @@ -56,8 +56,8 @@ case class DataSource(sqlContext: SQLContext, val (dfOpt, tmsts) = data(calcTime) dfOpt match { case Some(df) => { - TempTables.registerTempTable(df, timeInfo.key, name) - TempTables.registerTempTable(df, timeInfo.key, tmstName) + TableRegisters.registerRunTempTable(df, timeInfo.key, name) + TableRegisters.registerRunTempTable(df, timeInfo.key, tmstName) } case None => { // val df = sqlContext.emptyDataFrame diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 9e12d2865..f1a5c0c69 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -28,7 +28,7 @@ import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.data.source.DataSourceFactory import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.{DqEngineFactory, SparkSqlEngine} -import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TableRegisters import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.rule.udf.GriffinUdfs @@ -99,26 +99,33 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // generate rule steps // val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( // TimeInfo(appTime, appTime), userParam.evaluateRuleParam, dsTmsts, BatchProcessType, RunPhase) - val ruleSteps = RuleAdaptorGroup.genRuleSteps( - CalcTimeInfo(appTime), userParam.evaluateRuleParam, dsTmsts) +// val ruleSteps = RuleAdaptorGroup.genRuleSteps( +// CalcTimeInfo(appTime), userParam.evaluateRuleParam, dsTmsts) -// ruleSteps.foreach(println) + val rulePlan = RuleAdaptorGroup.genRulePlan( + calcTimeInfo, userParam.evaluateRuleParam, StreamingProcessType) + + rulePlan.ruleSteps.foreach(println) + println("====") + rulePlan.metricExports.foreach(println) + println("====") + rulePlan.recordExports.foreach(println) + println("====") // run rules - dqEngines.runRuleSteps(ruleSteps) + dqEngines.runRuleSteps(calcTimeInfo, rulePlan.ruleSteps) // persist engines... // persist results - val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) - - val dfs = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups.toSet) - dfs.foreach(_._2.cache()) + dqEngines.persistAllMetrics(calcTimeInfo, rulePlan.metricExports, StreamingProcessType, persistFactory) - dqEngines.persistAllRecords(dfs, persistFactory) -// dqEngines.persistAllRecords(ruleSteps, persistFactory, timeGroups) +// val dfs = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups.toSet) +// dfs.foreach(_._2.cache()) +// +// dqEngines.persistAllRecords(dfs, persistFactory) - dfs.foreach(_._2.unpersist()) +// dfs.foreach(_._2.unpersist()) // end time val endTime = new Date().getTime @@ -130,8 +137,10 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // sqlContext.tables().show(50) // println(sqlContext.tableNames().size) + sqlContext.tables().show(50) + // clean data - cleanData(calcTimeInfo) + cleanRunData(calcTimeInfo) // sqlContext.tables().show(50) // println(sqlContext.tableNames().size) @@ -150,9 +159,11 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { sqlContext.tables().show(50) } - private def cleanData(timeInfo: TimeInfo): Unit = { - TempTables.unregisterTempTables(sqlContext, timeInfo.key) - TempTables.unregisterGlobalTables(sqlContext) + private def cleanRunData(timeInfo: TimeInfo): Unit = { + TableRegisters.unregisterRunTempTables(sqlContext, timeInfo.key) + TableRegisters.unregisterRunGlobalTables(sqlContext) + TableRegisters.unregisterCompileTempTables(timeInfo.key) + TableRegisters.unregisterCompileGlobalTables } def end: Try[_] = Try { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 2c0479e7b..a9f6bd048 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -28,7 +28,7 @@ import org.apache.griffin.measure.data.source.DataSource import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngines -import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TableRegisters import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.step.{CalcTimeInfo, TimeInfo} import org.apache.spark.sql.SQLContext @@ -44,97 +44,97 @@ case class StreamingDqThread(sqlContext: SQLContext, val lock = InfoCacheInstance.genLock("process") def run(): Unit = { - val updateTimeDate = new Date() - val updateTime = updateTimeDate.getTime - println(s"===== [${updateTimeDate}] process begins =====") - val locked = lock.lock(5, TimeUnit.SECONDS) - if (locked) { - try { - - val st = new Date().getTime - appPersist.log(st, s"starting process ...") - val calcTimeInfo = CalcTimeInfo(st) - - TimeInfoCache.startTimeInfoCache - - // init data sources - val dsTmsts = dqEngines.loadData(dataSources, calcTimeInfo) - - println(s"data sources timestamps: ${dsTmsts}") - - // generate rule steps - val ruleSteps = RuleAdaptorGroup.genRuleSteps( - CalcTimeInfo(st), evaluateRuleParam, dsTmsts) - -// ruleSteps.foreach(println) - - // run rules - dqEngines.runRuleSteps(ruleSteps) - - val ct = new Date().getTime - val calculationTimeStr = s"calculation using time: ${ct - st} ms" -// println(calculationTimeStr) - appPersist.log(ct, calculationTimeStr) - - // persist results - val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) -// println(s"--- timeGroups: ${timeGroups}") - - val rt = new Date().getTime - val persistResultTimeStr = s"persist result using time: ${rt - ct} ms" -// println(persistResultTimeStr) - appPersist.log(rt, persistResultTimeStr) - - val dfs = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups.toSet) - dfs.foreach(_._2.cache()) - dfs.foreach { pr => - val (step, df) = pr - val cnt = df.count - println(s"step [${step.name}] group count: ${cnt}") - } - - val lt = new Date().getTime - val collectRddTimeStr = s"collect records using time: ${lt - rt} ms" -// println(collectRddTimeStr) - appPersist.log(lt, collectRddTimeStr) - - // persist records - dqEngines.persistAllRecords(dfs, persistFactory) -// dqEngines.persistAllRecords(ruleSteps, persistFactory, timeGroups) - - // update data source - dqEngines.updateDataSources(dfs, dataSources) -// dqEngines.updateDataSources(ruleSteps, dataSources, timeGroups) - - dfs.foreach(_._2.unpersist()) - - TimeInfoCache.endTimeInfoCache - - // clean old data - cleanData(calcTimeInfo) - - val et = new Date().getTime - val persistTimeStr = s"persist records using time: ${et - lt} ms" -// println(persistTimeStr) - appPersist.log(et, persistTimeStr) - - } catch { - case e: Throwable => error(s"process error: ${e.getMessage}") - } finally { - lock.unlock() - } - } else { - println(s"===== [${updateTimeDate}] process ignores =====") - } - val endTime = new Date().getTime - println(s"===== [${updateTimeDate}] process ends, using ${endTime - updateTime} ms =====") +// val updateTimeDate = new Date() +// val updateTime = updateTimeDate.getTime +// println(s"===== [${updateTimeDate}] process begins =====") +// val locked = lock.lock(5, TimeUnit.SECONDS) +// if (locked) { +// try { +// +// val st = new Date().getTime +// appPersist.log(st, s"starting process ...") +// val calcTimeInfo = CalcTimeInfo(st) +// +// TimeInfoCache.startTimeInfoCache +// +// // init data sources +// val dsTmsts = dqEngines.loadData(dataSources, calcTimeInfo) +// +// println(s"data sources timestamps: ${dsTmsts}") +// +// // generate rule steps +// val ruleSteps = RuleAdaptorGroup.genRuleSteps( +// CalcTimeInfo(st), evaluateRuleParam, dsTmsts) +// +//// ruleSteps.foreach(println) +// +// // run rules +// dqEngines.runRuleSteps(ruleSteps) +// +// val ct = new Date().getTime +// val calculationTimeStr = s"calculation using time: ${ct - st} ms" +//// println(calculationTimeStr) +// appPersist.log(ct, calculationTimeStr) +// +// // persist results +// val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) +//// println(s"--- timeGroups: ${timeGroups}") +// +// val rt = new Date().getTime +// val persistResultTimeStr = s"persist result using time: ${rt - ct} ms" +//// println(persistResultTimeStr) +// appPersist.log(rt, persistResultTimeStr) +// +// val dfs = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups.toSet) +// dfs.foreach(_._2.cache()) +// dfs.foreach { pr => +// val (step, df) = pr +// val cnt = df.count +// println(s"step [${step.name}] group count: ${cnt}") +// } +// +// val lt = new Date().getTime +// val collectRddTimeStr = s"collect records using time: ${lt - rt} ms" +//// println(collectRddTimeStr) +// appPersist.log(lt, collectRddTimeStr) +// +// // persist records +// dqEngines.persistAllRecords(dfs, persistFactory) +//// dqEngines.persistAllRecords(ruleSteps, persistFactory, timeGroups) +// +// // update data source +// dqEngines.updateDataSources(dfs, dataSources) +//// dqEngines.updateDataSources(ruleSteps, dataSources, timeGroups) +// +// dfs.foreach(_._2.unpersist()) +// +// TimeInfoCache.endTimeInfoCache +// +// // clean old data +// cleanData(calcTimeInfo) +// +// val et = new Date().getTime +// val persistTimeStr = s"persist records using time: ${et - lt} ms" +//// println(persistTimeStr) +// appPersist.log(et, persistTimeStr) +// +// } catch { +// case e: Throwable => error(s"process error: ${e.getMessage}") +// } finally { +// lock.unlock() +// } +// } else { +// println(s"===== [${updateTimeDate}] process ignores =====") +// } +// val endTime = new Date().getTime +// println(s"===== [${updateTimeDate}] process ends, using ${endTime - updateTime} ms =====") } // clean old data and old result cache private def cleanData(timeInfo: TimeInfo): Unit = { try { dataSources.foreach(_.cleanOldData) - TempTables.unregisterTempTables(sqlContext, timeInfo.key) + TableRegisters.unregisterRunTempTables(sqlContext, timeInfo.key) val cleanTime = TimeInfoCache.getCleanTime CacheResultProcesser.refresh(cleanTime) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index 15bde74e1..9db29d7c9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -22,13 +22,14 @@ import java.util.Date import org.apache.griffin.measure.cache.result.CacheResultProcesser import org.apache.griffin.measure.config.params.user.DataSourceParam -import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.data.source.{DataSource, DataSourceFactory} import org.apache.griffin.measure.persist.{Persist, PersistFactory} -import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TableRegisters import org.apache.griffin.measure.result.AccuracyResult +import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD import org.apache.spark.sql.types._ @@ -40,32 +41,32 @@ import scala.util.Try case class DataFrameOprEngine(sqlContext: SQLContext) extends SparkDqEngine { - def runRuleStep(ruleStep: ConcreteRuleStep): Boolean = { + def runRuleStep(timeInfo: TimeInfo, ruleStep: RuleStep): Boolean = { ruleStep match { - case DfOprStep(ti, ri) => { + case DfOprStep(name, rule, details) => { try { - ri.rule match { + rule match { case DataFrameOprs._fromJson => { - val df = DataFrameOprs.fromJson(sqlContext, ri) - ri.getNames.foreach(TempTables.registerTempTable(df, ti.key, _)) - } - case DataFrameOprs._accuracy => { - val df = DataFrameOprs.accuracy(sqlContext, ti, ri) - df.show(10) - ri.getNames.foreach(TempTables.registerTempTable(df, ti.key, _)) + val df = DataFrameOprs.fromJson(sqlContext, details) + TableRegisters.registerRunTempTable(df, timeInfo.key, name) } +// case DataFrameOprs._accuracy => { +// val df = DataFrameOprs.accuracy(sqlContext, ti, ri) +// df.show(10) +// ri.getNames.foreach(TempTables.registerTempTable(df, ti.key, _)) +// } case DataFrameOprs._clear => { - val df = DataFrameOprs.clear(sqlContext, ri) - ri.getNames.foreach(TempTables.registerTempTable(df, ti.key, _)) + val df = DataFrameOprs.clear(sqlContext, details) + TableRegisters.registerRunTempTable(df, timeInfo.key, name) } case _ => { - throw new Exception(s"df opr [ ${ri.rule} ] not supported") + throw new Exception(s"df opr [ ${rule} ] not supported") } } true } catch { case e: Throwable => { - error(s"run df opr [ ${ri.rule} ] error: ${e.getMessage}") + error(s"run df opr [ ${rule} ] error: ${e.getMessage}") false } } @@ -82,9 +83,7 @@ object DataFrameOprs { final val _accuracy = "accuracy" final val _clear = "clear" - def fromJson(sqlContext: SQLContext, ruleInfo: RuleInfo): DataFrame = { - val details = ruleInfo.details - + def fromJson(sqlContext: SQLContext, details: Map[String, Any]): DataFrame = { val _dfName = "df.name" val _colName = "col.name" val dfName = details.getOrElse(_dfName, "").toString @@ -98,93 +97,89 @@ object DataFrameOprs { sqlContext.read.json(rdd) // slow process } - def accuracy(sqlContext: SQLContext, timeInfo: TimeInfo, ruleInfo: RuleInfo): DataFrame = { - val details = ruleInfo.details - - val _dfName = "df.name" - val _miss = "miss" - val _total = "total" - val _matched = "matched" - - val dfName = details.getStringOrKey(_dfName) - val miss = details.getStringOrKey(_miss) - val total = details.getStringOrKey(_total) - val matched = details.getStringOrKey(_matched) - - val _enableIgnoreCache = "enable.ignore.cache" - val enableIgnoreCache = details.getBoolean(_enableIgnoreCache, false) - - val tmst = InternalColumns.tmst - - val updateTime = new Date().getTime - - def getLong(r: Row, k: String): Long = { - try { - r.getAs[Long](k) - } catch { - case e: Throwable => 0L - } - } - - val df = sqlContext.table(s"`${dfName}`") - df.show(10) - val results = df.flatMap { row => - try { - val missCount = getLong(row, miss) - val totalCount = getLong(row, total) - val ar = AccuracyResult(missCount, totalCount) - if (ar.isLegal) Some((timeInfo.tmst, ar)) else None - } catch { - case e: Throwable => None - } - }.collect - - val updateResults = results.flatMap { pair => - val (t, result) = pair - val updatedCacheResultOpt = CacheResultProcesser.genUpdateCacheResult(t, updateTime, result) - updatedCacheResultOpt - } - - // update results - updateResults.foreach { r => - CacheResultProcesser.update(r) - } - - // generate metrics - val schema = if (enableIgnoreCache) { - StructType(Array( - StructField(miss, LongType), - StructField(total, LongType), - StructField(matched, LongType), - StructField(InternalColumns.ignoreCache, BooleanType) - )) - } else { - StructType(Array( -// StructField(tmst, LongType), - StructField(miss, LongType), - StructField(total, LongType), - StructField(matched, LongType) - )) - } - val rows = if (enableIgnoreCache) { - updateResults.map { r => - val ar = r.result.asInstanceOf[AccuracyResult] - Row(ar.miss, ar.total, ar.getMatch, ar.initial) - } - } else { - updateResults.map { r => - val ar = r.result.asInstanceOf[AccuracyResult] - Row(ar.miss, ar.total, ar.getMatch) - } - } - val rowRdd = sqlContext.sparkContext.parallelize(rows) - sqlContext.createDataFrame(rowRdd, schema) - - } - - def clear(sqlContext: SQLContext, ruleInfo: RuleInfo): DataFrame = { - val details = ruleInfo.details - +// def accuracy(sqlContext: SQLContext, timeInfo: TimeInfo, details: Map[String, Any]): DataFrame = { +// val _dfName = "df.name" +// val _miss = "miss" +// val _total = "total" +// val _matched = "matched" +// +// val dfName = details.getStringOrKey(_dfName) +// val miss = details.getStringOrKey(_miss) +// val total = details.getStringOrKey(_total) +// val matched = details.getStringOrKey(_matched) +// +// val _enableIgnoreCache = "enable.ignore.cache" +// val enableIgnoreCache = details.getBoolean(_enableIgnoreCache, false) +// +// val tmst = InternalColumns.tmst +// +// val updateTime = new Date().getTime +// +// def getLong(r: Row, k: String): Long = { +// try { +// r.getAs[Long](k) +// } catch { +// case e: Throwable => 0L +// } +// } +// +// val df = sqlContext.table(s"`${dfName}`") +// df.show(10) +// val results = df.flatMap { row => +// try { +// val missCount = getLong(row, miss) +// val totalCount = getLong(row, total) +// val ar = AccuracyResult(missCount, totalCount) +// if (ar.isLegal) Some((timeInfo.tmst, ar)) else None +// } catch { +// case e: Throwable => None +// } +// }.collect +// +// val updateResults = results.flatMap { pair => +// val (t, result) = pair +// val updatedCacheResultOpt = CacheResultProcesser.genUpdateCacheResult(t, updateTime, result) +// updatedCacheResultOpt +// } +// +// // update results +// updateResults.foreach { r => +// CacheResultProcesser.update(r) +// } +// +// // generate metrics +// val schema = if (enableIgnoreCache) { +// StructType(Array( +// StructField(miss, LongType), +// StructField(total, LongType), +// StructField(matched, LongType), +// StructField(InternalColumns.ignoreCache, BooleanType) +// )) +// } else { +// StructType(Array( +//// StructField(tmst, LongType), +// StructField(miss, LongType), +// StructField(total, LongType), +// StructField(matched, LongType) +// )) +// } +// val rows = if (enableIgnoreCache) { +// updateResults.map { r => +// val ar = r.result.asInstanceOf[AccuracyResult] +// Row(ar.miss, ar.total, ar.getMatch, ar.initial) +// } +// } else { +// updateResults.map { r => +// val ar = r.result.asInstanceOf[AccuracyResult] +// Row(ar.miss, ar.total, ar.getMatch) +// } +// } +// val rowRdd = sqlContext.sparkContext.parallelize(rows) +// sqlContext.createDataFrame(rowRdd, schema) +// +// } + + def clear(sqlContext: SQLContext, details: Map[String, Any]): DataFrame = { val _dfName = "df.name" val dfName = details.getOrElse(_dfName, "").toString diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index 2d712d38f..7ceab6e2b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -22,22 +22,25 @@ import org.apache.griffin.measure.config.params.user.DataSourceParam import org.apache.griffin.measure.data.source.DataSource import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} +import org.apache.griffin.measure.process.ProcessType import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.rule.plan.{MetricExport, RuleStep} +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.DataFrame trait DqEngine extends Loggable with Serializable { - def runRuleStep(ruleStep: ConcreteRuleStep): Boolean + def runRuleStep(timeInfo: TimeInfo, ruleStep: RuleStep): Boolean protected def collectable(): Boolean = false - def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] + def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport, procType: ProcessType + ): Map[Long, Map[String, Any]] // def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] // // def collectUpdateCacheDatas(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] - def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] +// def collectUpdateRDD(ruleStep: RuleStep): Option[DataFrame] } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index a2e5070ed..db5f7e2e8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -19,12 +19,14 @@ under the License. package org.apache.griffin.measure.process.engine import org.apache.griffin.measure.config.params.user.DataSourceParam -import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.data.source._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} +import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.rule.plan.{MetricExport, RuleExport, RuleStep} +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.DataFrame @@ -38,18 +40,18 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { }.toMap } - def runRuleSteps(ruleSteps: Seq[ConcreteRuleStep]): Unit = { + def runRuleSteps(timeInfo: TimeInfo, ruleSteps: Seq[RuleStep]): Unit = { ruleSteps.foreach { ruleStep => - runRuleStep(ruleStep) + runRuleStep(timeInfo, ruleStep) } } - def persistAllMetrics(ruleSteps: Seq[ConcreteRuleStep], persistFactory: PersistFactory - ): Iterable[Long] = { - val metricSteps = ruleSteps.filter(_.ruleInfo.persistType == MetricPersistType) + def persistAllMetrics(timeInfo: TimeInfo, metricExports: Seq[MetricExport], + procType: ProcessType, persistFactory: PersistFactory + ): Unit = { val allMetrics: Map[Long, Map[String, Any]] = { - metricSteps.foldLeft(Map[Long, Map[String, Any]]()) { (ret, step) => - val metrics = collectMetrics(step) + metricExports.foldLeft(Map[Long, Map[String, Any]]()) { (ret, step) => + val metrics = collectMetrics(timeInfo, step, procType) metrics.foldLeft(ret) { (total, pair) => val (k, v) = pair total.get(k) match { @@ -60,25 +62,11 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } - val updateTimeGroups = allMetrics.flatMap { pair => - val (t, metric) = pair - metric.get(InternalColumns.ignoreCache) match { - case Some(true) => None - case _ => Some(t) - } - } - - val persistMetrics = allMetrics.mapValues { metric => - InternalColumns.clearInternalColumns(metric) - } - - persistMetrics.foreach { pair => + allMetrics.foreach { pair => val (t, metric) = pair val persist = persistFactory.getPersists(t) persist.persistMetrics(metric) } - - updateTimeGroups } // def persistAllRecords(ruleSteps: Seq[ConcreteRuleStep], persistFactory: PersistFactory, @@ -132,9 +120,9 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { /////////////////////////// - def runRuleStep(ruleStep: ConcreteRuleStep): Boolean = { + def runRuleStep(timeInfo: TimeInfo, ruleStep: RuleStep): Boolean = { val ret = engines.foldLeft(false) { (done, engine) => - done || engine.runRuleStep(ruleStep) + done || engine.runRuleStep(timeInfo, ruleStep) } if (!ret) warn(s"run rule step warn: no dq engine support ${ruleStep}") ret @@ -152,17 +140,19 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { // engine.collectUpdateCacheDatas(ruleStep, timeGroups) // }.headOption // } - def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] = { + def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport, procType: ProcessType + ): Map[Long, Map[String, Any]] = { val ret = engines.foldLeft(Map[Long, Map[String, Any]]()) { (ret, engine) => - if (ret.nonEmpty) ret else engine.collectMetrics(ruleStep) + if (ret.nonEmpty) ret else engine.collectMetrics(timeInfo, metricExport, procType) } ret } - def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] = { - engines.flatMap { engine => - engine.collectUpdateRDD(ruleStep) - }.headOption + def collectUpdateRDD(ruleStep: RuleStep): Option[DataFrame] = { +// engines.flatMap { engine => +// engine.collectUpdateRDD(ruleStep) +// }.headOption + None } // def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long] @@ -174,14 +164,15 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { //////////////////////////// - def collectUpdateRDDs(ruleSteps: Seq[ConcreteRuleStep], timeGroups: Set[Long] - ): Seq[(ConcreteRuleStep, DataFrame)] = { - ruleSteps.flatMap { rs => - val t = rs.timeInfo.tmst - if (timeGroups.contains(t)) { - collectUpdateRDD(rs).map((rs, _)) - } else None - } + def collectUpdateRDDs(ruleSteps: Seq[RuleStep], timeGroups: Set[Long] + ): Seq[(RuleStep, DataFrame)] = { +// ruleSteps.flatMap { rs => +// val t = rs.timeInfo.tmst +// if (timeGroups.contains(t)) { +// collectUpdateRDD(rs).map((rs, _)) +// } else None +// } + Nil } // def collectUpdateRDDs(ruleSteps: Seq[ConcreteRuleStep], timeGroups: Iterable[Long] @@ -194,17 +185,17 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { // } // } - def persistAllRecords(stepRdds: Seq[(ConcreteRuleStep, DataFrame)], + def persistAllRecords(stepRdds: Seq[(RuleStep, DataFrame)], persistFactory: PersistFactory): Unit = { - stepRdds.foreach { stepRdd => - val (step, df) = stepRdd - if (step.ruleInfo.persistType == RecordPersistType) { - val name = step.ruleInfo.name - val t = step.timeInfo.tmst - val persist = persistFactory.getPersists(t) - persist.persistRecords(df, name) - } - } +// stepRdds.foreach { stepRdd => +// val (step, df) = stepRdd +// if (step.ruleInfo.persistType == RecordPersistType) { +// val name = step.ruleInfo.name +// val t = step.timeInfo.tmst +// val persist = persistFactory.getPersists(t) +// persist.persistRecords(df, name) +// } +// } } // def persistAllRecords(stepRdds: Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])], @@ -222,23 +213,23 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { // } // } - def updateDataSources(stepRdds: Seq[(ConcreteRuleStep, DataFrame)], + def updateDataSources(stepRdds: Seq[(RuleStep, DataFrame)], dataSources: Seq[DataSource]): Unit = { - stepRdds.foreach { stepRdd => - val (step, df) = stepRdd - if (step.ruleInfo.cacheDataSourceOpt.nonEmpty) { - val udpateDsCaches = dataSources.filter { ds => - step.ruleInfo.cacheDataSourceOpt match { - case Some(dsName) if (dsName == ds.name) => true - case _ => false - } - }.flatMap(_.dataSourceCacheOpt) - if (udpateDsCaches.size > 0) { - val t = step.timeInfo.tmst - udpateDsCaches.foreach(_.updateData(df, t)) - } - } - } +// stepRdds.foreach { stepRdd => +// val (step, df) = stepRdd +// if (step.ruleInfo.cacheDataSourceOpt.nonEmpty) { +// val udpateDsCaches = dataSources.filter { ds => +// step.ruleInfo.cacheDataSourceOpt match { +// case Some(dsName) if (dsName == ds.name) => true +// case _ => false +// } +// }.flatMap(_.dataSourceCacheOpt) +// if (udpateDsCaches.size > 0) { +// val t = step.timeInfo.tmst +// udpateDsCaches.foreach(_.updateData(df, t)) +// } +// } +// } } // def updateDataSources(stepRdds: Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])], diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 596da3f7e..ccf484b3a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -19,13 +19,16 @@ under the License. package org.apache.griffin.measure.process.engine import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} -import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.log.Loggable +import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} +import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ +import org.apache.griffin.measure.rule.plan.MetricExport import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, SQLContext} +import org.apache.griffin.measure.utils.ParamUtil._ trait SparkDqEngine extends DqEngine { @@ -34,88 +37,107 @@ trait SparkDqEngine extends DqEngine { val emptyMetricMap = Map[Long, Map[String, Any]]() val emptyMap = Map[String, Any]() - def collectMetrics(ruleStep: ConcreteRuleStep): Map[Long, Map[String, Any]] = { - if (collectable) { - ruleStep match { - case step: ConcreteRuleStep if (step.ruleInfo.persistType == MetricPersistType) => { - val tmst = step.timeInfo.tmst - val metricName = step.ruleInfo.name - - step.ruleInfo.tmstNameOpt match { - case Some(metricTmstName) => { - try { - val pdf = sqlContext.table(s"`${metricTmstName}`") - - val records: Array[String] = pdf.toJSON.collect() - - if (records.size > 0) { - val flatRecords = records.flatMap { rec => - try { - val value = JsonUtil.toAnyMap(rec) - Some(value) - } catch { - case e: Throwable => None - } - }.toSeq - val metrics: Map[String, Any] = step.ruleInfo.collectType match { - case EntriesCollectType => flatRecords.headOption.getOrElse(emptyMap) - case ArrayCollectType => Map[String, Any]((metricName -> flatRecords)) - case MapCollectType => { - val v = flatRecords.headOption.getOrElse(emptyMap) - Map[String, Any]((metricName -> v)) - } - case _ => { - if (flatRecords.size > 1) Map[String, Any]((metricName -> flatRecords)) - else flatRecords.headOption.getOrElse(emptyMap) - } - } - emptyMetricMap + (tmst -> metrics) - } else { - info(s"empty metrics in table `${metricTmstName}`, not persisted") - emptyMetricMap - } - } catch { - case e: Throwable => { - error(s"collect metrics ${metricTmstName} error: ${e.getMessage}") - emptyMetricMap - } - } - } - case _ => emptyMetricMap - } + private def getMetricMaps(dfName: String): Seq[Map[String, Any]] = { + val pdf = sqlContext.table(s"`${dfName}`") + val records = pdf.toJSON.collect() + if (records.size > 0) { + records.flatMap { rec => + try { + val value = JsonUtil.toAnyMap(rec) + Some(value) + } catch { + case e: Throwable => None } - case _ => emptyMetricMap + }.toSeq + } else Nil + } + + private def normalizeMetric(metrics: Seq[Map[String, Any]], name: String, collectType: CollectType + ): Map[String, Any] = { + collectType match { + case EntriesCollectType => metrics.headOption.getOrElse(emptyMap) + case ArrayCollectType => Map[String, Any]((name -> metrics)) + case MapCollectType => { + val v = metrics.headOption.getOrElse(emptyMap) + Map[String, Any]((name -> v)) } - } else emptyMetricMap + case _ => { + if (metrics.size > 1) Map[String, Any]((name -> metrics)) + else metrics.headOption.getOrElse(emptyMap) + } + } } - def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] = { + def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport, procType: ProcessType + ): Map[Long, Map[String, Any]] = { if (collectable) { - ruleStep match { - case step: ConcreteRuleStep if ((step.ruleInfo.persistType == RecordPersistType) - || (step.ruleInfo.cacheDataSourceOpt.nonEmpty)) => { - val tmst = step.timeInfo.tmst -// val metricName = step.ruleInfo.name - - step.ruleInfo.tmstNameOpt match { - case Some(metricTmstName) => { - try { - val pdf = sqlContext.table(s"`${metricTmstName}`") - Some(pdf) - } catch { - case e: Throwable => { - error(s"collect records ${metricTmstName} error: ${e.getMessage}") - None - } + val MetricExport(name, stepName, collectType) = metricExport + try { + val metricMaps = getMetricMaps(stepName) + if (metricMaps.size > 0) { + procType match { + case BatchProcessType => { + val metrics: Map[String, Any] = normalizeMetric(metricMaps, name, collectType) + emptyMetricMap + (timeInfo.calcTime -> metrics) + } + case StreamingProcessType => { + val tmstMetrics = metricMaps.map { metric => + val tmst = metric.getLong(InternalColumns.tmst, timeInfo.calcTime) + val pureMetric = metric.removeKeys(InternalColumns.columns) + (tmst, pureMetric) + } + tmstMetrics.groupBy(_._1).map { pair => + val (k, v) = pair + val maps = v.map(_._2) + val mtc = normalizeMetric(maps, name, collectType) + (k, mtc) } } - case _ => None } + } else { + info(s"empty metrics of [${name}], not persisted") + emptyMetricMap + } + } catch { + case e: Throwable => { + error(s"collect metrics ${name} error: ${e.getMessage}") + emptyMetricMap } - case _ => None } - } else None + } else emptyMetricMap } +// +// def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] = { +// if (collectable) { +// ruleStep match { +// case step: ConcreteRuleStep if ((step.ruleInfo.persistType == RecordPersistType) +// || (step.ruleInfo.cacheDataSourceOpt.nonEmpty)) => { +// val tmst = step.timeInfo.tmst +//// val metricName = step.ruleInfo.name +// +// step.ruleInfo.tmstNameOpt match { +// case Some(metricTmstName) => { +// try { +// val pdf = sqlContext.table(s"`${metricTmstName}`") +// Some(pdf) +// } catch { +// case e: Throwable => { +// error(s"collect records ${metricTmstName} error: ${e.getMessage}") +// None +// } +// } +// } +// case _ => None +// } +// } +// case _ => None +// } +// } else None +// } + + + + // def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long] // ): Option[RDD[(Long, Iterable[String])]] = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index b5093e307..d914afdd0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -21,12 +21,13 @@ package org.apache.griffin.measure.process.engine import java.util.Date import org.apache.griffin.measure.config.params.user.DataSourceParam -import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.data.source._ import org.apache.griffin.measure.persist.{Persist, PersistFactory} -import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.rule.adaptor.{GlobalKeys, InternalColumns} import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, GroupedData, SQLContext} @@ -36,20 +37,28 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { override protected def collectable(): Boolean = true - def runRuleStep(ruleStep: ConcreteRuleStep): Boolean = { + def runRuleStep(timeInfo: TimeInfo, ruleStep: RuleStep): Boolean = { ruleStep match { - case SparkSqlStep(ti, ri) => { + case SparkSqlStep(name, rule, details, global) => { try { - val rdf = sqlContext.sql(ri.rule) - if (ri.global) { - ri.getNames.foreach(TempTables.registerGlobalTable(rdf, _)) + val rdf = if (global && !TableRegisters.existRunGlobalTable(name)) { + details.get(GlobalKeys._initRule) match { + case Some(initRule: String) => sqlContext.sql(initRule) + case _ => sqlContext.emptyDataFrame + } } else { - ri.getNames.foreach(TempTables.registerTempTable(rdf, ti.key, _)) + sqlContext.sql(rule) + } + + if (global) { + TableRegisters.registerRunGlobalTable(rdf, name) + } else { + TableRegisters.registerRunTempTable(rdf, timeInfo.key, name) } true } catch { case e: Throwable => { - error(s"run spark sql [ ${ri.rule} ] error: ${e.getMessage}") + error(s"run spark sql [ ${rule} ] error: ${e.getMessage}") false } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegisters.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegisters.scala new file mode 100644 index 000000000..a57bb21df --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegisters.scala @@ -0,0 +1,145 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.process.temp + +import org.apache.griffin.measure.log.Loggable +import org.apache.spark.sql.{DataFrame, SQLContext} + +import scala.collection.concurrent.{TrieMap, Map => ConcMap} + +object TableRegisters extends Loggable { + + final val _global = "_global" +// +// val tables: ConcMap[String, Set[String]] = TrieMap[String, Set[String]]() + + val compileTableRegs = TableRegs() + val runTableRegs = TableRegs() + +// private def registerTable(key: String, table: String): Unit = { +// tables.get(key) match { +// case Some(set) => { +// val suc = tables.replace(key, set, set + table) +// if (!suc) registerTable(key, table) +// } +// case _ => { +// val oldOpt = tables.putIfAbsent(key, Set[String](table)) +// if (oldOpt.nonEmpty) registerTable(key, table) +// } +// } +// } +// +// private def unregisterTable(key: String, table: String): Option[String] = { +// tables.get(key) match { +// case Some(set) => { +// val ftb = set.find(_ == table) +// ftb match { +// case Some(tb) => { +// val nset = set - tb +// val suc = tables.replace(key, set, nset) +// if (suc) Some(tb) +// else unregisterTable(key, table) +// } +// case _ => None +// } +// } +// case _ => None +// } +// } +// +// private def unregisterTables(key: String): Set[String] = { +// tables.remove(key) match { +// case Some(set) => set +// case _ => Set[String]() +// } +// } + + private def dropTempTable(sqlContext: SQLContext, table: String): Unit = { + try { + sqlContext.dropTempTable(table) + } catch { + case e: Throwable => warn(s"drop temp table ${table} fails") + } + } + + // ----- + + def registerRunGlobalTable(df: DataFrame, table: String): Unit = { + registerRunTempTable(df, _global, table) + } + + def registerRunTempTable(df: DataFrame, key: String, table: String): Unit = { + runTableRegs.registerTable(key, table) + df.registerTempTable(table) + } + + def registerCompileGlobalTable(table: String): Unit = { + registerCompileTempTable(_global, table) + } + + def registerCompileTempTable(key: String, table: String): Unit = { + compileTableRegs.registerTable(key, table) + } + + def unregisterRunTempTable(sqlContext: SQLContext, key: String, table: String): Unit = { + runTableRegs.unregisterTable(key, table).foreach(dropTempTable(sqlContext, _)) + } + + def unregisterCompileTempTable(key: String, table: String): Unit = { + compileTableRegs.unregisterTable(key, table) + } + + def unregisterRunGlobalTables(sqlContext: SQLContext): Unit = { + unregisterRunTempTables(sqlContext, _global) + } + + def unregisterCompileGlobalTables(): Unit = { + unregisterCompileTempTables(_global) + } + + def unregisterRunTempTables(sqlContext: SQLContext, key: String): Unit = { + runTableRegs.unregisterTables(key).foreach(dropTempTable(sqlContext, _)) + } + + def unregisterCompileTempTables(key: String): Unit = { + compileTableRegs.unregisterTables(key) + } + + def existRunGlobalTable(table: String): Boolean = { + existRunTempTable(_global, table) + } + + def existCompileGlobalTable(table: String): Boolean = { + existCompileTempTable(_global, table) + } + + def existRunTempTable(key: String, table: String): Boolean = { + runTableRegs.existTable(key, table) + } + + def existCompileTempTable(key: String, table: String): Boolean = { + compileTableRegs.existTable(key, table) + } + +} + +//object TempKeys { +// def key(t: Long): String = s"${t}" +// def key(head: String, t: Long): String = s"${head}_${t}" +//} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegs.scala similarity index 52% rename from measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala rename to measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegs.scala index c646eca0f..26936147f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TempTables.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegs.scala @@ -18,18 +18,15 @@ under the License. */ package org.apache.griffin.measure.process.temp -import org.apache.griffin.measure.log.Loggable -import org.apache.spark.sql.{DataFrame, SQLContext} +import org.apache.spark.sql.SQLContext import scala.collection.concurrent.{TrieMap, Map => ConcMap} -object TempTables extends Loggable { +case class TableRegs() { - final val _global = "_global" + private val tables: ConcMap[String, Set[String]] = TrieMap[String, Set[String]]() - val tables: ConcMap[String, Set[String]] = TrieMap[String, Set[String]]() - - private def registerTable(key: String, table: String): Unit = { + def registerTable(key: String, table: String): Unit = { tables.get(key) match { case Some(set) => { val suc = tables.replace(key, set, set + table) @@ -42,7 +39,7 @@ object TempTables extends Loggable { } } - private def unregisterTable(key: String, table: String): Option[String] = { + def unregisterTable(key: String, table: String): Option[String] = { tables.get(key) match { case Some(set) => { val ftb = set.find(_ == table) @@ -60,52 +57,13 @@ object TempTables extends Loggable { } } - private def unregisterTables(key: String): Set[String] = { + def unregisterTables(key: String): Set[String] = { tables.remove(key) match { case Some(set) => set case _ => Set[String]() } } - private def dropTempTable(sqlContext: SQLContext, table: String): Unit = { - try { - sqlContext.dropTempTable(table) - } catch { - case e: Throwable => warn(s"drop temp table ${table} fails") - } - } - - // ----- - - def registerGlobalTable(df: DataFrame, table: String): Unit = { - registerTempTable(df, _global, table) - } - - def registerTempTable(df: DataFrame, key: String, table: String): Unit = { - registerTable(key, table) - df.registerTempTable(table) - } - - def registerTempTableNameOnly(key: String, table: String): Unit = { - registerTable(key, table) - } - - def unregisterTempTable(sqlContext: SQLContext, key: String, table: String): Unit = { - unregisterTable(key, table).foreach(dropTempTable(sqlContext, _)) - } - - def unregisterGlobalTables(sqlContext: SQLContext): Unit = { - unregisterTempTables(sqlContext, _global) - } - - def unregisterTempTables(sqlContext: SQLContext, key: String): Unit = { - unregisterTables(key).foreach(dropTempTable(sqlContext, _)) - } - - def existGlobalTable(table: String): Boolean = { - existTable(_global, table) - } - def existTable(key: String, table: String): Boolean = { tables.get(key) match { case Some(set) => set.exists(_ == table) @@ -114,8 +72,3 @@ object TempTables extends Loggable { } } - -//object TempKeys { -// def key(t: Long): String = s"${t}" -// def key(head: String, t: Long): String = s"${head}_${t}" -//} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index eab7d0219..026c0ff9f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -19,7 +19,9 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process.ProcessType -import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.utils.ParamUtil._ case class DataFrameOprAdaptor() extends RuleAdaptor { @@ -43,4 +45,12 @@ case class DataFrameOprAdaptor() extends RuleAdaptor { // } // } + import RuleParamKeys._ + + def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], procType: ProcessType): RulePlan = { + val name = getRuleName(param) + val step = DfOprStep(name, getRule(param), getDetails(param)) + RulePlan(step :: Nil, genRuleExports(param, name, name)) + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 6af548506..b51050013 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -19,79 +19,93 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} -import org.apache.griffin.measure.data.connector.InternalColumns -import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TableRegisters import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.dsl.analyzer._ import org.apache.griffin.measure.rule.dsl.expr._ import org.apache.griffin.measure.rule.dsl.parser.GriffinDslParser -import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.utils.ParamUtil._ +import org.apache.griffin.measure.utils.TimeUtil + +object AccuracyKeys { + val _source = "source" + val _target = "target" + val _miss = "miss" + val _total = "total" + val _matched = "matched" +// val _missRecords = "missRecords" +} + +object ProfilingKeys { + val _source = "source" +} + +object GlobalKeys { + val _initRule = "init.rule" + val _globalMetricKeep = "global.metric.keep" +} case class GriffinDslAdaptor(dataSourceNames: Seq[String], functionNames: Seq[String] ) extends RuleAdaptor { - object AccuracyKeys { - val _source = "source" - val _target = "target" - val _miss = "miss" - val _total = "total" - val _matched = "matched" - val _missRecords = "missRecords" - } - object ProfilingKeys { - val _source = "source" - } + import RuleParamKeys._ val filteredFunctionNames = functionNames.filter { fn => fn.matches("""^[a-zA-Z_]\w*$""") } val parser = GriffinDslParser(dataSourceNames, filteredFunctionNames) - override def genRuleInfos(param: Map[String, Any], timeInfo: TimeInfo): Seq[RuleInfo] = { - val ruleInfo = RuleInfoGen(param) - val dqType = RuleInfoGen.dqType(param) + private val emptyRulePlan = RulePlan(Nil, Nil) + private val emptyMap = Map[String, Any]() + + override def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], processType: ProcessType + ): RulePlan = { + val name = getRuleName(param) + val rule = getRule(param) + val dqType = getDqType(param) try { - val result = parser.parseRule(ruleInfo.rule, dqType) + val result = parser.parseRule(rule, dqType) if (result.successful) { val expr = result.get dqType match { - case AccuracyType => accuracyRuleInfos(ruleInfo, expr, timeInfo) - case ProfilingType => profilingRuleInfos(ruleInfo, expr, timeInfo) - case TimelinessType => Nil - case _ => Nil + case AccuracyType => accuracyRulePlan(timeInfo, name, expr, param, processType) + case ProfilingType => profilingRulePlan(timeInfo, name, expr, param, processType) + case TimelinessType => emptyRulePlan + case _ => emptyRulePlan } } else { - warn(s"parse rule [ ${ruleInfo.rule} ] fails: \n${result}") - Nil + warn(s"parse rule [ ${rule} ] fails: \n${result}") + emptyRulePlan } } catch { case e: Throwable => { - error(s"generate rule info ${ruleInfo} fails: ${e.getMessage}") - Nil + error(s"generate rule plan ${name} fails: ${e.getMessage}") + emptyRulePlan } } } - // group by version - private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { - val calcTime = timeInfo.calcTime - val details = ruleInfo.details + private def accuracyRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], processType: ProcessType + ): RulePlan = { + val details = getDetails(param) val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) - if (!TempTables.existTable(timeInfo.key, sourceName)) { - Nil + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + emptyRulePlan } else { // 1. miss record - val missRecordsSql = if (!TempTables.existTable(timeInfo.key, targetName)) { - val selClause = s"`${sourceName}`.*" + val missRecordsTableName = "__missRecords" + val selClause = s"`${sourceName}`.*" + val missRecordsSql = if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { s"SELECT ${selClause} FROM `${sourceName}`" } else { - val selClause = s"`${sourceName}`.*" val onClause = expr.coalesceDesc val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => s"${sel.desc} IS NULL" @@ -102,128 +116,387 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" } - val missRecordsName = AccuracyKeys._missRecords - // val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) - val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) - .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) - .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) - val missRecordsRuleInfo = RuleInfo(missRecordsName, None, SparkSqlType, - missRecordsSql, missRecordsParams, true) - // val missRecordsStep = SparkSqlStep( - // timeInfo, - // RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) - // ) + val missRecordsStep = SparkSqlStep(missRecordsTableName, missRecordsSql, emptyMap) + val missRecordsExports = processType match { + case BatchProcessType => { + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + genRecordExport(recordParam, missRecordsTableName, missRecordsTableName) :: Nil + } + case StreamingProcessType => Nil + } // 2. miss count - val missTableName = "_miss_" - // val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) + val missCountTableName = "__missCount" val missColName = details.getStringOrKey(AccuracyKeys._miss) - val missSql = { - s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${InternalColumns.tmst}`" + val missCountSql = processType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}`" + case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}` GROUP BY `${InternalColumns.tmst}`" } - val missRuleInfo = RuleInfo(missTableName, None, SparkSqlType, - missSql, Map[String, Any](), true) - // val missStep = SparkSqlStep( - // timeInfo, - // RuleInfo(missTableName, None, missSql, Map[String, Any]()) - // ) + val missCountStep = SparkSqlStep(missCountTableName, missCountSql, emptyMap) // 3. total count - val totalTableName = "_total_" - // val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) + val totalCountTableName = "__totalCount" val totalColName = details.getStringOrKey(AccuracyKeys._total) - val totalSql = { - s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}`" + val totalCountSql = processType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}`" } - val totalRuleInfo = RuleInfo(totalTableName, None, SparkSqlType, - totalSql, Map[String, Any](), true) - // val totalStep = SparkSqlStep( - // timeInfo, - // RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) - // ) + val totalCountStep = SparkSqlStep(totalCountTableName, totalCountSql, emptyMap) // 4. accuracy metric - val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleInfo.name) - // val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) + val accuracyTableName = name val matchedColName = details.getStringOrKey(AccuracyKeys._matched) - val accuracyMetricSql = { - s""" - |SELECT `${totalTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, - |`${missTableName}`.`${missColName}` AS `${missColName}`, - |`${totalTableName}`.`${totalColName}` AS `${totalColName}`, - |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` - |FROM `${totalTableName}` FULL JOIN `${missTableName}` - |ON `${totalTableName}`.`${InternalColumns.tmst}` = `${missTableName}`.`${InternalColumns.tmst}` - """.stripMargin - } - // val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// val accuracyMetricRuleInfo = RuleInfo(accuracyMetricName, None, SparkSqlType, -// accuracyMetricSql, Map[String, Any](), true) - val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) - .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) - val accuracyMetricRuleInfo = RuleInfo(accuracyMetricName, None, SparkSqlType, - accuracyMetricSql, Map[String, Any](), true) - - // 5. accuracy metric merge - val globalMetricName = "accu_global" - val globalAccuSql = if (TempTables.existGlobalTable(globalMetricName)) { - s""" - |SELECT coalesce(`${globalMetricName}`.`${InternalColumns.tmst}`, `${accuracyMetricName}`.`${InternalColumns.tmst}`) AS `${InternalColumns.tmst}`, - |coalesce(`${accuracyMetricName}`.`${missColName}`, `${globalMetricName}`.`${missColName}`) AS `${missColName}`, - |coalesce(`${globalMetricName}`.`${totalColName}`, `${accuracyMetricName}`.`${totalColName}`) AS `${totalColName}`, - |(`${totalColName}` - `${missColName}`) AS `${matchedColName}`, - |(`${totalColName}` = 0) AS `empty`, - |(`${missColName}` = 0) AS `no_miss`, - |(`${accuracyMetricName}`.`${missColName}` < `${globalMetricName}`.`${missColName}`) AS `update` - |FROM `${globalMetricName}` FULL JOIN `${accuracyMetricName}` - |ON `${globalMetricName}`.`${InternalColumns.tmst}` = `${accuracyMetricName}`.`${InternalColumns.tmst}` + val accuracyMetricSql = processType match { + case BatchProcessType => { + s""" + |SELECT `${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, + |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, + |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` + |FROM `${totalCountTableName}` FULL JOIN `${missCountTableName}` """.stripMargin - } else { - s""" - |SELECT `${accuracyMetricName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, - |`${accuracyMetricName}`.`${missColName}` AS `${missColName}`, - |`${accuracyMetricName}`.`${totalColName}` AS `${totalColName}`, - |(`${totalColName}` - `${missColName}`) AS `${matchedColName}`, - |(`${totalColName}` = 0) AS `empty`, - |(`${missColName}` = 0) AS `no_miss`, - |true AS `update` - |FROM `${accuracyMetricName}` + } + case StreamingProcessType => { + s""" + |SELECT `${totalCountTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, + |`${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, + |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, + |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` + |FROM `${totalCountTableName}` FULL JOIN `${missCountTableName}` + |ON `${totalCountTableName}`.`${InternalColumns.tmst}` = `${missCountTableName}`.`${InternalColumns.tmst}` """.stripMargin + } } - val globalAccuParams = Map[String, Any]( - ("global" -> true) - ) - val mergeRuleInfo = RuleInfo(globalMetricName, None, SparkSqlType, - globalAccuSql, globalAccuParams, true) - - // 6. persist metrics - val persistMetricName = "persist" - val persistSql = { - s""" - |SELECT `${InternalColumns.tmst}`, `${missColName}`, `${totalColName}`, `${matchedColName}` - |FROM `${globalMetricName}` - |WHERE `update` - """.stripMargin + val accuracyStep = SparkSqlStep(accuracyTableName, accuracyMetricSql, emptyMap) + val accuracyExports = processType match { + case BatchProcessType => { + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + genMetricExport(metricParam, accuracyTableName, accuracyTableName) :: Nil + } + case StreamingProcessType => Nil } - val persistParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) - .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) - val persistRuleInfo = RuleInfo(persistMetricName, None, SparkSqlType, - persistSql, persistParams, true) - // 5. accuracy metric filter -// val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) -// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) -// val accuracyRuleInfo = RuleInfo(accuracyMetricName, None, DfOprType, -// "accuracy", accuracyParams, true) + // current accu plan + val accuSteps = missRecordsStep :: missCountStep :: totalCountStep :: accuracyStep :: Nil + val accuExports = missRecordsExports ++ accuracyExports + val accuPlan = RulePlan(accuSteps, accuExports) -// missRecordsRuleInfo :: missRuleInfo :: totalRuleInfo :: -// accuracyMetricRuleInfo :: accuracyRuleInfo :: Nil - missRecordsRuleInfo :: missRuleInfo :: totalRuleInfo :: - accuracyMetricRuleInfo :: mergeRuleInfo :: persistRuleInfo :: Nil + // streaming extra accu plan + val streamingAccuPlan = processType match { + case BatchProcessType => emptyRulePlan + case StreamingProcessType => { + // 5. global accuracy metric merge + val globalAccuracyTableName = "__globalAccuracy" + val globalAccuracySql = { + s""" + |SELECT coalesce(`${globalAccuracyTableName}`.`${InternalColumns.tmst}`, `${accuracyTableName}`.`${InternalColumns.tmst}`) AS `${InternalColumns.tmst}`, + |coalesce(`${accuracyTableName}`.`${missColName}`, `${globalAccuracyTableName}`.`${missColName}`) AS `${missColName}`, + |coalesce(`${globalAccuracyTableName}`.`${totalColName}`, `${accuracyTableName}`.`${totalColName}`) AS `${totalColName}`, + |((`${accuracyTableName}`.`${missColName}` IS NOT NULL) AND ((`${globalAccuracyTableName}`.`${missColName}` IS NULL) OR (`${accuracyTableName}`.`${missColName}` < `${globalAccuracyTableName}`.`${missColName}`))) AS `${InternalColumns.metric}` + |FROM `${globalAccuracyTableName}` FULL JOIN `${accuracyTableName}` + |ON `${globalAccuracyTableName}`.`${InternalColumns.tmst}` = `${accuracyTableName}`.`${InternalColumns.tmst}` + """.stripMargin + } + val globalAccuracyInitSql = { + s""" + |SELECT `${InternalColumns.tmst}`, `${totalColName}`, `${missColName}`, + |(true) AS `${InternalColumns.metric}` + |FROM `${accuracyTableName}` + """.stripMargin + } + val globalAccuracyDetails = Map[String, Any](GlobalKeys._initRule -> globalAccuracyInitSql) + val globalAccuracyStep = SparkSqlStep(globalAccuracyTableName, globalAccuracySql, globalAccuracyDetails, true) + + // 6. collect accuracy metrics + val accuracyMetricTableName = name + val accuracyMetricSql = { + s""" + |SELECT `${InternalColumns.tmst}`, `${totalColName}`, `${missColName}`, + |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` + |FROM `${globalAccuracyTableName}` WHERE `${InternalColumns.metric}` + """.stripMargin + } + val accuracyMetricStep = SparkSqlStep(accuracyMetricTableName, accuracyMetricSql, emptyMap) + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + val accuracyMetricExports = genMetricExport(metricParam, accuracyMetricTableName, accuracyMetricTableName) :: Nil + + // 7. collect accuracy records + val accuracyRecordTableName = "__accuracyRecords" + val accuracyRecordSql = { + s""" + |SELECT `${InternalColumns.tmst}` + |FROM `${accuracyMetricTableName}` WHERE `${matchedColName}` > 0 + """.stripMargin + } + val accuracyRecordStep = SparkSqlStep(accuracyRecordTableName, accuracyRecordSql, emptyMap) + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val accuracyRecordParam = recordParam.addIfNotExist(ExportParamKeys._dataSourceCache, sourceName) + .addIfNotExist(ExportParamKeys._originDF, missRecordsTableName) + val accuracyRecordExports = genRecordExport( + accuracyRecordParam, missRecordsTableName, accuracyRecordTableName) :: Nil + + // 8. update global accuracy metric + val updateGlobalAccuracyTableName = globalAccuracyTableName + val globalMetricKeepTime = details.getString(GlobalKeys._globalMetricKeep, "") + val updateGlobalAccuracySql = TimeUtil.milliseconds(globalMetricKeepTime) match { + case Some(kt) => { + s""" + |SELECT * FROM `${globalAccuracyTableName}` + |WHERE (`${missColName}` > 0) AND (`${InternalColumns.tmst}` > ${timeInfo.calcTime - kt}) + """.stripMargin + } + case _ => { + s""" + |SELECT * FROM `${globalAccuracyTableName}` + |WHERE (`${missColName}` > 0) + """.stripMargin + } + } + val updateGlobalAccuracyStep = SparkSqlStep(updateGlobalAccuracyTableName, updateGlobalAccuracySql, emptyMap, true) + + // gen accu plan + val extraSteps = globalAccuracyStep :: accuracyMetricStep :: accuracyRecordStep :: updateGlobalAccuracyStep :: Nil + val extraExports = accuracyMetricExports ++ accuracyRecordExports + val extraPlan = RulePlan(extraSteps, extraExports) + + extraPlan + } + } + + // return accu plan + accuPlan.merge(streamingAccuPlan) + + } + } + + private def profilingRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], processType: ProcessType + ): RulePlan = { + val details = getDetails(param) + val profilingClause = expr.asInstanceOf[ProfilingClause] + val sourceName = profilingClause.fromClauseOpt match { + case Some(fc) => fc.dataSource + case _ => details.getString(ProfilingKeys._source, dataSourceNames.head) + } + val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + emptyRulePlan + } else { + val analyzer = ProfilingAnalyzer(profilingClause, sourceName) + val selExprDescs = analyzer.selectionExprs.map { sel => + val alias = sel match { + case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" + case _ => "" + } + s"${sel.desc}${alias}" + } + val selCondition = profilingClause.selectClause.extraConditionOpt.map(_.desc).mkString + val selClause = processType match { + case BatchProcessType => selExprDescs.mkString(", ") + case StreamingProcessType => (s"`${InternalColumns.tmst}`" +: selExprDescs).mkString(", ") + } + val groupByClauseOpt = analyzer.groupbyExprOpt + val groupbyClause = processType match { + case BatchProcessType => groupByClauseOpt.map(_.desc).getOrElse("") + case StreamingProcessType => { + val tmstGroupbyClause = GroupbyClause(LiteralStringExpr(s"`${InternalColumns.tmst}`") :: Nil, None) + val mergedGroubbyClause = tmstGroupbyClause.merge(groupByClauseOpt match { + case Some(gbc) => gbc + case _ => GroupbyClause(Nil, None) + }) + mergedGroubbyClause.desc + } + } + val preGroupbyClause = analyzer.preGroupbyExprs.map(_.desc).mkString(" ") + val postGroupbyClause = analyzer.postGroupbyExprs.map(_.desc).mkString(" ") + + // 1. select statement + val profilingSql = { + s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" + } + val profilingName = name + val profilingStep = SparkSqlStep(profilingName, profilingSql, details) + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + val profilingExports = genMetricExport(metricParam, profilingName, profilingName) :: Nil + + RulePlan(profilingStep :: Nil, profilingExports) } } +// override def genRuleInfos(param: Map[String, Any], timeInfo: TimeInfo): Seq[RuleInfo] = { +// val ruleInfo = RuleInfoGen(param) +// val dqType = RuleInfoGen.dqType(param) +// try { +// val result = parser.parseRule(ruleInfo.rule, dqType) +// if (result.successful) { +// val expr = result.get +// dqType match { +// case AccuracyType => accuracyRuleInfos(ruleInfo, expr, timeInfo) +// case ProfilingType => profilingRuleInfos(ruleInfo, expr, timeInfo) +// case TimelinessType => Nil +// case _ => Nil +// } +// } else { +// warn(s"parse rule [ ${ruleInfo.rule} ] fails: \n${result}") +// Nil +// } +// } catch { +// case e: Throwable => { +// error(s"generate rule info ${ruleInfo} fails: ${e.getMessage}") +// Nil +// } +// } +// } + + // group by version +// private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { +// val calcTime = timeInfo.calcTime +// val details = ruleInfo.details +// val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) +// val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) +// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) +// +// if (!TempTables.existTable(timeInfo.key, sourceName)) { +// Nil +// } else { +// // 1. miss record +// val missRecordsSql = if (!TempTables.existTable(timeInfo.key, targetName)) { +// val selClause = s"`${sourceName}`.*" +// s"SELECT ${selClause} FROM `${sourceName}`" +// } else { +// val selClause = s"`${sourceName}`.*" +// val onClause = expr.coalesceDesc +// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val targetIsNull = analyzer.targetSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" +// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" +// } +// val missRecordsName = AccuracyKeys._missRecords +// // val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) +// val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) +// .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) +// val missRecordsRuleInfo = RuleInfo(missRecordsName, None, SparkSqlType, +// missRecordsSql, missRecordsParams, true) +// // val missRecordsStep = SparkSqlStep( +// // timeInfo, +// // RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) +// // ) +// +// // 2. miss count +// val missTableName = "_miss_" +// // val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) +// val missColName = details.getStringOrKey(AccuracyKeys._miss) +// val missSql = { +// s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${InternalColumns.tmst}`" +// } +// val missRuleInfo = RuleInfo(missTableName, None, SparkSqlType, +// missSql, Map[String, Any](), true) +// // val missStep = SparkSqlStep( +// // timeInfo, +// // RuleInfo(missTableName, None, missSql, Map[String, Any]()) +// // ) +// +// // 3. total count +// val totalTableName = "_total_" +// // val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) +// val totalColName = details.getStringOrKey(AccuracyKeys._total) +// val totalSql = { +// s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}`" +// } +// val totalRuleInfo = RuleInfo(totalTableName, None, SparkSqlType, +// totalSql, Map[String, Any](), true) +// // val totalStep = SparkSqlStep( +// // timeInfo, +// // RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) +// // ) +// +// // 4. accuracy metric +// val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleInfo.name) +// // val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) +// val matchedColName = details.getStringOrKey(AccuracyKeys._matched) +// val accuracyMetricSql = { +// s""" +// |SELECT `${totalTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, +// |`${missTableName}`.`${missColName}` AS `${missColName}`, +// |`${totalTableName}`.`${totalColName}` AS `${totalColName}`, +// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` +// |FROM `${totalTableName}` FULL JOIN `${missTableName}` +// |ON `${totalTableName}`.`${InternalColumns.tmst}` = `${missTableName}`.`${InternalColumns.tmst}` +// """.stripMargin +// } +// // val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +//// val accuracyMetricRuleInfo = RuleInfo(accuracyMetricName, None, SparkSqlType, +//// accuracyMetricSql, Map[String, Any](), true) +// val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) +// val accuracyMetricRuleInfo = RuleInfo(accuracyMetricName, None, SparkSqlType, +// accuracyMetricSql, Map[String, Any](), true) +// +// // 5. accuracy metric merge +// val globalMetricName = "accu_global" +// val globalAccuSql = if (TempTables.existGlobalTable(globalMetricName)) { +// s""" +// |SELECT coalesce(`${globalMetricName}`.`${InternalColumns.tmst}`, `${accuracyMetricName}`.`${InternalColumns.tmst}`) AS `${InternalColumns.tmst}`, +// |coalesce(`${accuracyMetricName}`.`${missColName}`, `${globalMetricName}`.`${missColName}`) AS `${missColName}`, +// |coalesce(`${globalMetricName}`.`${totalColName}`, `${accuracyMetricName}`.`${totalColName}`) AS `${totalColName}`, +// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}`, +// |(`${totalColName}` = 0) AS `empty`, +// |(`${missColName}` = 0) AS `no_miss`, +// |(`${accuracyMetricName}`.`${missColName}` < `${globalMetricName}`.`${missColName}`) AS `update` +// |FROM `${globalMetricName}` FULL JOIN `${accuracyMetricName}` +// |ON `${globalMetricName}`.`${InternalColumns.tmst}` = `${accuracyMetricName}`.`${InternalColumns.tmst}` +// """.stripMargin +// } else { +// s""" +// |SELECT `${accuracyMetricName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, +// |`${accuracyMetricName}`.`${missColName}` AS `${missColName}`, +// |`${accuracyMetricName}`.`${totalColName}` AS `${totalColName}`, +// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}`, +// |(`${totalColName}` = 0) AS `empty`, +// |(`${missColName}` = 0) AS `no_miss`, +// |true AS `update` +// |FROM `${accuracyMetricName}` +// """.stripMargin +// } +// val globalAccuParams = Map[String, Any]( +// ("global" -> true) +// ) +// val mergeRuleInfo = RuleInfo(globalMetricName, None, SparkSqlType, +// globalAccuSql, globalAccuParams, true) +// +// // 6. persist metrics +// val persistMetricName = "persist" +// val persistSql = { +// s""" +// |SELECT `${InternalColumns.tmst}`, `${missColName}`, `${totalColName}`, `${matchedColName}` +// |FROM `${globalMetricName}` +// |WHERE `update` +// """.stripMargin +// } +// val persistParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) +// val persistRuleInfo = RuleInfo(persistMetricName, None, SparkSqlType, +// persistSql, persistParams, true) +// +// // 5. accuracy metric filter +//// val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) +//// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +//// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) +//// val accuracyRuleInfo = RuleInfo(accuracyMetricName, None, DfOprType, +//// "accuracy", accuracyParams, true) +// +//// missRecordsRuleInfo :: missRuleInfo :: totalRuleInfo :: +//// accuracyMetricRuleInfo :: accuracyRuleInfo :: Nil +// missRecordsRuleInfo :: missRuleInfo :: totalRuleInfo :: +// accuracyMetricRuleInfo :: mergeRuleInfo :: persistRuleInfo :: Nil +// } +// } + // private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { // val calcTime = timeInfo.calcTime // val details = ruleInfo.details @@ -324,55 +597,56 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // accuracyMetricRuleInfo :: accuracyRuleInfo :: Nil // } // } - private def profilingRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { - val details = ruleInfo.details - val profilingClause = expr.asInstanceOf[ProfilingClause] - val sourceName = profilingClause.fromClauseOpt match { - case Some(fc) => fc.dataSource - case _ => details.getString(ProfilingKeys._source, dataSourceNames.head) - } - val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc - if (!TempTables.existTable(timeInfo.key, sourceName)) { - Nil - } else { - val tmstAnalyzer = ProfilingAnalyzer(profilingClause, sourceName) - - val selExprDescs = tmstAnalyzer.selectionExprs.map { sel => - val alias = sel match { - case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" - case _ => "" - } - s"${sel.desc}${alias}" - } - val selCondition = profilingClause.selectClause.extraConditionOpt.map(_.desc).mkString - val selClause = selExprDescs.mkString(", ") -// val tmstFromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc - val groupByClauseOpt = tmstAnalyzer.groupbyExprOpt - val groupbyClause = groupByClauseOpt.map(_.desc).getOrElse("") - val preGroupbyClause = tmstAnalyzer.preGroupbyExprs.map(_.desc).mkString(" ") - val postGroupbyClause = tmstAnalyzer.postGroupbyExprs.map(_.desc).mkString(" ") - - // 1. select statement - val profilingSql = { - s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" - } - // println(profilingSql) - val metricName = details.getString(RuleDetailKeys._persistName, ruleInfo.name) - // val tmstMetricName = TempName.tmstName(metricName, timeInfo) - val profilingParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) - .addIfNotExist(RuleDetailKeys._persistName, metricName) - val profilingRuleInfo = ruleInfo.setDslType(SparkSqlType) - .setRule(profilingSql).setDetails(profilingParams) -// val profilingStep = SparkSqlStep( -// timeInfo, -// ruleInfo.setRule(profilingSql).setDetails(profilingParams) -// ) - - // filterStep :: profilingStep :: Nil - profilingRuleInfo :: Nil - } - } +// private def profilingRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { +// val details = ruleInfo.details +// val profilingClause = expr.asInstanceOf[ProfilingClause] +// val sourceName = profilingClause.fromClauseOpt match { +// case Some(fc) => fc.dataSource +// case _ => details.getString(ProfilingKeys._source, dataSourceNames.head) +// } +// val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc +// +// if (!TempTables.existTable(timeInfo.key, sourceName)) { +// Nil +// } else { +// val tmstAnalyzer = ProfilingAnalyzer(profilingClause, sourceName) +// +// val selExprDescs = tmstAnalyzer.selectionExprs.map { sel => +// val alias = sel match { +// case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" +// case _ => "" +// } +// s"${sel.desc}${alias}" +// } +// val selCondition = profilingClause.selectClause.extraConditionOpt.map(_.desc).mkString +// val selClause = selExprDescs.mkString(", ") +//// val tmstFromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc +// val groupByClauseOpt = tmstAnalyzer.groupbyExprOpt +// val groupbyClause = groupByClauseOpt.map(_.desc).getOrElse("") +// val preGroupbyClause = tmstAnalyzer.preGroupbyExprs.map(_.desc).mkString(" ") +// val postGroupbyClause = tmstAnalyzer.postGroupbyExprs.map(_.desc).mkString(" ") +// +// // 1. select statement +// val profilingSql = { +// s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" +// } +// // println(profilingSql) +// val metricName = details.getString(RuleDetailKeys._persistName, ruleInfo.name) +// // val tmstMetricName = TempName.tmstName(metricName, timeInfo) +// val profilingParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) +// .addIfNotExist(RuleDetailKeys._persistName, metricName) +// val profilingRuleInfo = ruleInfo.setDslType(SparkSqlType) +// .setRule(profilingSql).setDetails(profilingParams) +//// val profilingStep = SparkSqlStep( +//// timeInfo, +//// ruleInfo.setRule(profilingSql).setDetails(profilingParams) +//// ) +// +// // filterStep :: profilingStep :: Nil +// profilingRuleInfo :: Nil +// } +// } // def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { // val ruleInfo = RuleInfoGen(param, timeInfo) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala new file mode 100644 index 000000000..0b08a1f8f --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala @@ -0,0 +1,29 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.adaptor + +object InternalColumns { + val tmst = "__tmst" + val metric = "__metric" +// val record = "__record" + // val ignoreCache = "__ignoreCache" + + val columns = List[String](tmst, metric) +// val columns = List[String](tmst, ignoreCache) +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index 98451f76e..b00aec5ef 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -25,8 +25,58 @@ import org.apache.griffin.measure.cache.tmst.TempName import scala.collection.mutable.{Set => MutableSet} import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.rule.dsl._ +import org.apache.griffin.measure.rule.plan._ + +//object RuleInfoKeys { +// val _name = "name" +// val _rule = "rule" +// val _details = "details" +// val _dslType = "dsl.type" +// val _dqType = "dq.type" +// val _global = "global" +//// val _gatherStep = "gather.step" +// +// val _metric = "metric" +// val _record = "record" +//} +//import RuleInfoKeys._ +import org.apache.griffin.measure.utils.ParamUtil._ + +object RuleParamKeys { + val _name = "name" + val _rule = "rule" + val _dslType = "dsl.type" + val _dqType = "dq.type" + val _global = "global" + val _details = "details" + + val _metric = "metric" + val _record = "record" + + def getName(param: Map[String, Any], defName: String): String = param.getString(_name, defName) + def getRule(param: Map[String, Any]): String = param.getString(_rule, "") + def getDqType(param: Map[String, Any]): DqType = DqType(param.getString(_dqType, "")) + def getGlobal(param: Map[String, Any]): Boolean = param.getBoolean(_global, false) + def getDetails(param: Map[String, Any]): Map[String, Any] = param.getParamMap(_details) + + def getMetricOpt(param: Map[String, Any]): Option[Map[String, Any]] = param.getParamMapOpt(_metric) + def getRecordOpt(param: Map[String, Any]): Option[Map[String, Any]] = param.getParamMapOpt(_record) +} + +object ExportParamKeys { + val _name = "name" + val _collectType = "collect.type" + val _dataSourceCache = "data.source.cache" + val _originDF = "origin.DF" + + def getName(param: Map[String, Any], defName: String): String = param.getString(_name, defName) + def getCollectType(param: Map[String, Any]): CollectType = CollectType(param.getString(_collectType, "")) + def getDataSourceCacheOpt(param: Map[String, Any]): Option[String] = param.get(_dataSourceCache).map(_.toString) + def getOriginDFOpt(param: Map[String, Any]): Option[String] = param.get(_originDF).map(_.toString) +} trait RuleAdaptor extends Loggable with Serializable { @@ -54,50 +104,74 @@ trait RuleAdaptor extends Loggable with Serializable { // } // } - def genRuleInfos(param: Map[String, Any], timeInfo: TimeInfo): Seq[RuleInfo] = { - RuleInfoGen(param) :: Nil - } -} -object RuleInfoKeys { - val _name = "name" - val _rule = "rule" - val _details = "details" - val _dslType = "dsl.type" - val _gatherStep = "gather.step" +// def genRuleInfos(param: Map[String, Any], timeInfo: TimeInfo): Seq[RuleInfo] = { +// RuleInfoGen(param) :: Nil +// } - val _dqType = "dq.type" -} -import RuleInfoKeys._ -import org.apache.griffin.measure.utils.ParamUtil._ + protected def getRuleName(param: Map[String, Any]): String = { + RuleParamKeys.getName(param, RuleStepNameGenerator.genName) + } + + def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], procType: ProcessType): RulePlan -object RuleInfoGen { - def apply(param: Map[String, Any]): RuleInfo = { - val name = param.get(_name) match { - case Some(n: String) => n - case _ => RuleStepNameGenerator.genName - } - RuleInfo( - name, - None, - DslType(param.getString(_dslType, "")), - param.getString(_rule, ""), - param.getParamMap(_details), - param.getBoolean(_gatherStep, false) + protected def genRuleExports(param: Map[String, Any], defName: String, stepName: String): Seq[RuleExport] = { + val metricOpt = RuleParamKeys.getMetricOpt(param) + val metricExportSeq = metricOpt.map(genMetricExport(_, defName, stepName)).toSeq + val recordOpt = RuleParamKeys.getRecordOpt(param) + val recordExportSeq = recordOpt.map(genRecordExport(_, defName, stepName)).toSeq + metricExportSeq ++ recordExportSeq + } + protected def genMetricExport(param: Map[String, Any], name: String, stepName: String + ): MetricExport = { + MetricExport( + ExportParamKeys.getName(param, name), + stepName, + ExportParamKeys.getCollectType(param) ) } - def apply(ri: RuleInfo, timeInfo: TimeInfo): RuleInfo = { - if (ri.persistType.needPersist) { - val tmstName = TempName.tmstName(ri.name, timeInfo) - ri.setTmstNameOpt(Some(tmstName)) - } else ri + protected def genRecordExport(param: Map[String, Any], name: String, stepName: String + ): RecordExport = { + RecordExport( + ExportParamKeys.getName(param, name), + stepName, + ExportParamKeys.getDataSourceCacheOpt(param), + ExportParamKeys.getOriginDFOpt(param) + ) } -// def dslType(param: Map[String, Any]): DslType = DslType(param.getString(_dslType, "")) - def dqType(param: Map[String, Any]): DqType = DqType(param.getString(_dqType, "")) + + } + + +//object RuleInfoGen { +// def apply(param: Map[String, Any]): RuleInfo = { +// val name = param.get(_name) match { +// case Some(n: String) => n +// case _ => RuleStepNameGenerator.genName +// } +// RuleInfo( +// name, +// None, +// DslType(param.getString(_dslType, "")), +// param.getString(_rule, ""), +// param.getParamMap(_details), +// param.getBoolean(_gatherStep, false) +// ) +// } +// def apply(ri: RuleInfo, timeInfo: TimeInfo): RuleInfo = { +// if (ri.persistType.needPersist) { +// val tmstName = TempName.tmstName(ri.name, timeInfo) +// ri.setTmstNameOpt(Some(tmstName)) +// } else ri +// } +// +// def dqType(param: Map[String, Any]): DqType = DqType(param.getString(_dqType, "")) +//} + object RuleStepNameGenerator { private val counter: AtomicLong = new AtomicLong(0L) private val head: String = "rs" diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index b7e1207aa..1ba5ad12c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -20,10 +20,10 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.TempName import org.apache.griffin.measure.config.params.user._ -import org.apache.griffin.measure.data.connector.InternalColumns import org.apache.griffin.measure.process.ProcessType -import org.apache.griffin.measure.process.temp.TempTables +import org.apache.griffin.measure.process.temp.TableRegisters import org.apache.griffin.measure.rule.dsl._ +import org.apache.griffin.measure.rule.plan.{RulePlan, RuleStep} import org.apache.griffin.measure.rule.step._ import org.apache.spark.sql.SQLContext @@ -31,14 +31,16 @@ import scala.collection.mutable.{Map => MutableMap} object RuleAdaptorGroup { -// val _dslType = "dsl.type" - import RuleInfoKeys._ + val _dslType = "dsl.type" +// import RuleInfoKeys._ var dataSourceNames: Seq[String] = Nil var functionNames: Seq[String] = Nil var baselineDsName: String = "" + private val emptyRulePlan = RulePlan(Nil, Nil) + def init(dsNames: Seq[String], blDsName: String, funcNames: Seq[String]): Unit = { dataSourceNames = dsNames baselineDsName = blDsName @@ -112,116 +114,147 @@ object RuleAdaptorGroup { // steps // } - - // -- gen steps -- - def genRuleSteps(timeInfo: TimeInfo, evaluateRuleParam: EvaluateRuleParam, dsTmsts: Map[String, Set[Long]] - ): Seq[ConcreteRuleStep] = { + // -- gen rule plan -- + def genRulePlan(timeInfo: TimeInfo, evaluateRuleParam: EvaluateRuleParam, procType: ProcessType + ): RulePlan = { val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType val defaultDslType = DslType(dslTypeStr) val ruleParams = evaluateRuleParam.rules - val tmsts = dsTmsts.getOrElse(baselineDsName, Set[Long]()).toSeq - genRuleSteps(timeInfo, ruleParams, tmsts, defaultDslType) + genRulePlan(timeInfo, ruleParams, defaultDslType, procType) } - def genRuleSteps(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], - tmsts: Seq[Long], defaultDslType: DslType, - adapthase: AdaptPhase = RunPhase - ): Seq[ConcreteRuleStep] = { - val calcTime = timeInfo.calcTime - val (ruleInfos, dsNames) = ruleParams.foldLeft((Seq[RuleInfo](), dataSourceNames)) { (res, param) => - val (preRuleInfos, preNames) = res + def genRulePlan(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], + defaultDslType: DslType, procType: ProcessType + ): RulePlan = { + val (rulePlan, dsNames) = ruleParams.foldLeft((emptyRulePlan, dataSourceNames)) { (res, param) => + val (plan, names) = res val dslType = getDslType(param, defaultDslType) - val (curRuleInfos, curNames) = genRuleAdaptor(dslType, preNames) match { - case Some(adaptor) => { - val ris = adaptor.genRuleInfos(param, timeInfo) - val rins = ris.filter(!_.global).map(_.name) - (ris, rins) - } - case _ => (Nil, Nil) - } - if (adapthase == RunPhase) { - curNames.foreach(TempTables.registerTempTableNameOnly(timeInfo.key, _)) - } - (preRuleInfos ++ curRuleInfos, preNames ++ curNames) - } - - adapthase match { - case PreProcPhase => { - ruleInfos.flatMap { ri => - genConcRuleSteps(timeInfo, ri) - } + val curPlan: RulePlan = genRuleAdaptor(dslType, names) match { + case Some(adaptor) => adaptor.genRulePlan(timeInfo, param, procType) + case _ => emptyRulePlan } - case RunPhase => { - val riGroups = ruleInfos.foldRight(List[(List[RuleInfo], Boolean)]()) { (ri, groups) => - groups match { - case head :: tail if (ri.gather == head._2) => (ri :: head._1, head._2) :: tail - case _ => (ri :: Nil, ri.gather) :: groups - } - }.foldLeft(List[(List[RuleInfo], Boolean, List[String], List[RuleInfo])]()) { (groups, rigs) => - val preGatherNames = groups.lastOption match { - case Some(t) => if (t._2) t._3 ::: t._1.map(_.name) else t._3 - case _ => baselineDsName :: Nil - } - val persistRuleInfos = groups.lastOption match { - case Some(t) if (t._2) => t._1.filter(_.persistType.needPersist) - case _ => Nil - } - groups :+ (rigs._1, rigs._2, preGatherNames, persistRuleInfos) - } + val globalNames = curPlan.globalRuleSteps.map(_.name) + globalNames.foreach(TableRegisters.registerCompileGlobalTable(_)) + val curNames = curPlan.normalRuleSteps.map(_.name) + curNames.foreach(TableRegisters.registerCompileTempTable(timeInfo.key, _)) - riGroups.flatMap { group => - val (ris, gather, srcNames, persistRis) = group - if (gather) { - ris.flatMap { ri => - genConcRuleSteps(timeInfo, ri) - } - } else { - tmsts.flatMap { tmst => - val concTimeInfo = TmstTimeInfo(calcTime, tmst) - val tmstInitRuleInfos = genTmstInitRuleInfo(concTimeInfo, srcNames, persistRis) - (tmstInitRuleInfos ++ ris).flatMap { ri => - genConcRuleSteps(concTimeInfo, ri) - } - } - } - } - } + val retPlan = plan.merge(curPlan) + (retPlan, names ++ globalNames ++ curNames) } - + rulePlan } - private def genConcRuleSteps(timeInfo: TimeInfo, ruleInfo: RuleInfo): Seq[ConcreteRuleStep] = { - val nri = if (ruleInfo.persistType.needPersist && ruleInfo.tmstNameOpt.isEmpty) { - val tmstName = if (ruleInfo.gather) { - TempName.tmstName(ruleInfo.name, timeInfo.calcTime) - } else { - TempName.tmstName(ruleInfo.name, timeInfo) - } - ruleInfo.setTmstNameOpt(Some(tmstName)) - } else ruleInfo - ruleInfo.dslType match { - case SparkSqlType => SparkSqlStep(timeInfo, nri) :: Nil - case DfOprType => DfOprStep(timeInfo, nri) :: Nil - case _ => Nil - } - } - private def genTmstInitRuleInfo(timeInfo: TmstTimeInfo, srcNames: Seq[String], - persistRis: Seq[RuleInfo]): Seq[RuleInfo] = { - val TmstTimeInfo(calcTime, tmst, _) = timeInfo - srcNames.map { srcName => - val srcTmstName = TempName.tmstName(srcName, calcTime) - val filterSql = { - s"SELECT * FROM `${srcTmstName}` WHERE `${InternalColumns.tmst}` = ${tmst}" - } - val params = persistRis.filter(_.name == srcName).headOption match { - case Some(ri) => ri.details - case _ => Map[String, Any]() - } - RuleInfo(srcName, None, SparkSqlType, filterSql, params, false) - } - } + // -- gen steps -- +// def genRuleSteps(timeInfo: TimeInfo, evaluateRuleParam: EvaluateRuleParam, dsTmsts: Map[String, Set[Long]] +// ): Seq[ConcreteRuleStep] = { +// val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType +// val defaultDslType = DslType(dslTypeStr) +// val ruleParams = evaluateRuleParam.rules +// val tmsts = dsTmsts.getOrElse(baselineDsName, Set[Long]()).toSeq +// genRuleSteps(timeInfo, ruleParams, tmsts, defaultDslType) +// } +// +// def genRuleSteps(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], +// tmsts: Seq[Long], defaultDslType: DslType, +// adapthase: AdaptPhase = RunPhase +// ): Seq[ConcreteRuleStep] = { +// val calcTime = timeInfo.calcTime +// val (ruleInfos, dsNames) = ruleParams.foldLeft((Seq[RuleInfo](), dataSourceNames)) { (res, param) => +// val (preRuleInfos, preNames) = res +// val dslType = getDslType(param, defaultDslType) +// val (curRuleInfos, curNames) = genRuleAdaptor(dslType, preNames) match { +// case Some(adaptor) => { +// val ris = adaptor.genRuleInfos(param, timeInfo) +// val rins = ris.filter(!_.global).map(_.name) +// (ris, rins) +// } +// case _ => (Nil, Nil) +// } +// if (adapthase == RunPhase) { +// curNames.foreach(TempTables.registerTempTableNameOnly(timeInfo.key, _)) +// } +// (preRuleInfos ++ curRuleInfos, preNames ++ curNames) +// } +// +// adapthase match { +// case PreProcPhase => { +// ruleInfos.flatMap { ri => +// genConcRuleSteps(timeInfo, ri) +// } +// } +// case RunPhase => { +// val riGroups = ruleInfos.foldRight(List[(List[RuleInfo], Boolean)]()) { (ri, groups) => +// groups match { +// case head :: tail if (ri.gather == head._2) => (ri :: head._1, head._2) :: tail +// case _ => (ri :: Nil, ri.gather) :: groups +// } +// }.foldLeft(List[(List[RuleInfo], Boolean, List[String], List[RuleInfo])]()) { (groups, rigs) => +// val preGatherNames = groups.lastOption match { +// case Some(t) => if (t._2) t._3 ::: t._1.map(_.name) else t._3 +// case _ => baselineDsName :: Nil +// } +// val persistRuleInfos = groups.lastOption match { +// case Some(t) if (t._2) => t._1.filter(_.persistType.needPersist) +// case _ => Nil +// } +// groups :+ (rigs._1, rigs._2, preGatherNames, persistRuleInfos) +// } +// +// riGroups.flatMap { group => +// val (ris, gather, srcNames, persistRis) = group +// if (gather) { +// ris.flatMap { ri => +// genConcRuleSteps(timeInfo, ri) +// } +// } else { +// tmsts.flatMap { tmst => +// val concTimeInfo = TmstTimeInfo(calcTime, tmst) +// val tmstInitRuleInfos = genTmstInitRuleInfo(concTimeInfo, srcNames, persistRis) +// (tmstInitRuleInfos ++ ris).flatMap { ri => +// genConcRuleSteps(concTimeInfo, ri) +// } +// } +// } +// } +// } +// } +// +// +// } +// +// private def genConcRuleSteps(timeInfo: TimeInfo, ruleInfo: RuleInfo): Seq[ConcreteRuleStep] = { +// val nri = if (ruleInfo.persistType.needPersist && ruleInfo.tmstNameOpt.isEmpty) { +// val tmstName = if (ruleInfo.gather) { +// TempName.tmstName(ruleInfo.name, timeInfo.calcTime) +// } else { +// TempName.tmstName(ruleInfo.name, timeInfo) +// } +// ruleInfo.setTmstNameOpt(Some(tmstName)) +// } else ruleInfo +// ruleInfo.dslType match { +// case SparkSqlType => SparkSqlStep(timeInfo, nri) :: Nil +// case DfOprType => DfOprStep(timeInfo, nri) :: Nil +// case _ => Nil +// } +// } +// +// private def genTmstInitRuleInfo(timeInfo: TmstTimeInfo, srcNames: Seq[String], +// persistRis: Seq[RuleInfo]): Seq[RuleInfo] = { +// val TmstTimeInfo(calcTime, tmst, _) = timeInfo +// srcNames.map { srcName => +// val srcTmstName = TempName.tmstName(srcName, calcTime) +// val filterSql = { +// s"SELECT * FROM `${srcTmstName}` WHERE `${InternalColumns.tmst}` = ${tmst}" +// } +// val params = persistRis.filter(_.name == srcName).headOption match { +// case Some(ri) => ri.details +// case _ => Map[String, Any]() +// } +// RuleInfo(srcName, None, SparkSqlType, filterSql, params, false) +// } +// } // def genRuleSteps(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], // tmsts: Seq[Long], defaultDslType: DslType, diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index d75628d13..57fb038fd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -19,9 +19,10 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.TempName -import org.apache.griffin.measure.data.connector.InternalColumns +import org.apache.griffin.measure.process.ProcessType import org.apache.griffin.measure.rule.dsl.MetricPersistType -import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.utils.ParamUtil._ case class SparkSqlAdaptor() extends RuleAdaptor { @@ -37,4 +38,12 @@ case class SparkSqlAdaptor() extends RuleAdaptor { // } // } + import RuleParamKeys._ + + def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], procType: ProcessType): RulePlan = { + val name = getRuleName(param) + val step = SparkSqlStep(name, getRule(param), getDetails(param), getGlobal(param)) + RulePlan(step :: Nil, genRuleExports(param, name, name)) + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DfOprStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DfOprStep.scala new file mode 100644 index 000000000..2f70b81d5 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DfOprStep.scala @@ -0,0 +1,32 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.plan + +import org.apache.griffin.measure.rule.dsl._ + +case class DfOprStep(name: String, + rule: String, + details: Map[String, Any] + ) extends RuleStep { + + val dslType: DslType = DfOprType + + val global: Boolean = false + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala new file mode 100644 index 000000000..10f1f9b14 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala @@ -0,0 +1,28 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.plan + +import org.apache.griffin.measure.rule.dsl._ + +case class MetricExport(name: String, + stepName: String, + collectType: CollectType + ) extends RuleExport { + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala new file mode 100644 index 000000000..a46754326 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala @@ -0,0 +1,27 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.plan + +case class RecordExport(name: String, + stepName: String, + dataSourceCacheOpt: Option[String], + originDFOpt: Option[String] + ) extends RuleExport { + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala new file mode 100644 index 000000000..26a962a13 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala @@ -0,0 +1,27 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.plan + +trait RuleExport extends Serializable { + + val name: String // export name + + val stepName: String // the dependant step name + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RulePlan.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RulePlan.scala new file mode 100644 index 000000000..54a606236 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RulePlan.scala @@ -0,0 +1,54 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.plan + +import scala.reflect.ClassTag + +case class RulePlan(ruleSteps: Seq[RuleStep], + ruleExports: Seq[RuleExport] + ) extends Serializable { + + val globalRuleSteps = filterRuleSteps(_.global) + val normalRuleSteps = filterRuleSteps(!_.global) + + val metricExports = filterRuleExports[MetricExport](ruleExports) + val recordExports = filterRuleExports[RecordExport](ruleExports) + + private def filterRuleSteps(func: (RuleStep) => Boolean): Seq[RuleStep] = { + ruleSteps.filter(func) + } + + private def filterRuleExports[T <: RuleExport: ClassTag](exports: Seq[RuleExport]): Seq[T] = { + exports.flatMap { exp => + exp match { + case e: T => Some(e) + case _ => None + } + } + } + +// def ruleStepNames(func: (RuleStep) => Boolean): Seq[String] = { +// ruleSteps.filter(func).map(_.name) +// } + + def merge(rp: RulePlan): RulePlan = { + RulePlan(this.ruleSteps ++ rp.ruleSteps, this.ruleExports ++ rp.ruleExports) + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleStep.scala new file mode 100644 index 000000000..e208cf8f0 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleStep.scala @@ -0,0 +1,35 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.plan + +import org.apache.griffin.measure.rule.dsl.DslType + +trait RuleStep extends Serializable { + + val dslType: DslType + + val name: String + + val rule: String + + val global: Boolean + + val details: Map[String, Any] + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/SparkSqlStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/SparkSqlStep.scala new file mode 100644 index 000000000..7c58450b1 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/SparkSqlStep.scala @@ -0,0 +1,31 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.plan + +import org.apache.griffin.measure.rule.dsl._ + +case class SparkSqlStep(name: String, + rule: String, + details: Map[String, Any], + global: Boolean = false + ) extends RuleStep { + + val dslType: DslType = SparkSqlType + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala index 485211b64..1ca32b3be 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala @@ -174,12 +174,27 @@ object ParamUtil { } } + def getParamMapOpt(key: String): Option[Map[String, Any]] = { + try { + params.get(key) match { + case Some(v: Map[String, Any]) => Some(v) + case _ => None + } + } catch { + case _: Throwable => None + } + } + def addIfNotExist(key: String, value: Any): Map[String, Any] = { params.get(key) match { case Some(v) => params case _ => params + (key -> value) } } + + def removeKeys(keys: Iterable[String]): Map[String, Any] = { + params -- keys + } } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala index a8c079b85..4717f0431 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala @@ -18,9 +18,11 @@ under the License. */ package org.apache.griffin.measure.utils +import org.apache.griffin.measure.log.Loggable + import scala.util.{Failure, Success, Try} -object TimeUtil { +object TimeUtil extends Loggable { final val TimeRegex = """^([+\-]?\d+)(ms|s|m|h|d)$""".r final val PureTimeRegex = """^([+\-]?\d+)$""".r @@ -48,7 +50,10 @@ object TimeUtil { } } match { case Success(v) => Some(v) - case Failure(ex) => throw ex + case Failure(ex) => { + error(ex.getMessage) + None + } } } value diff --git a/measure/src/test/resources/_accuracy-batch-griffindsl.json b/measure/src/test/resources/_accuracy-batch-griffindsl.json index 10167cd19..c702d46a8 100644 --- a/measure/src/test/resources/_accuracy-batch-griffindsl.json +++ b/measure/src/test/resources/_accuracy-batch-griffindsl.json @@ -13,7 +13,14 @@ "version": "1.7", "config": { "file.name": "src/test/resources/users_info_src.avro" - } + }, + "pre.proc": [ + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select * from ${this} where user_id > 10010" + } + ] } ] }, { diff --git a/measure/src/test/resources/_accuracy-batch-sparksql.json b/measure/src/test/resources/_accuracy-batch-sparksql.json index b401d5653..a24ffbe11 100644 --- a/measure/src/test/resources/_accuracy-batch-sparksql.json +++ b/measure/src/test/resources/_accuracy-batch-sparksql.json @@ -53,7 +53,7 @@ { "dsl.type": "spark-sql", "name": "accu", - "rule": "SELECT `miss_count`.`miss` AS `miss`, `total_count`.`total` AS `total`, (`total` - `miss`) AS `matched` FROM `miss_count` FULL JOIN `total_count`", + "rule": "SELECT `total_count`.`total` AS `total`, coalesce(`miss_count`.`miss`, 0) AS `miss`, (`total` - `miss`) AS `matched` FROM `total_count` FULL JOIN `miss_count`", "metric": { "name": "accu" } diff --git a/measure/src/test/resources/_accuracy-streaming-griffindsl.json b/measure/src/test/resources/_accuracy-streaming-griffindsl.json index 1064a6f2a..331e20625 100644 --- a/measure/src/test/resources/_accuracy-streaming-griffindsl.json +++ b/measure/src/test/resources/_accuracy-streaming-griffindsl.json @@ -102,14 +102,15 @@ "target": "target", "miss": "miss_count", "total": "total_count", - "matched": "matched_count" + "matched": "matched_count", + "global.metric.keep": "1d" }, "metric": { "name": "accu" }, "record": { "name": "missRecords", - "update.data.source": "source" + "data.source.cache": "source" } } ] diff --git a/measure/src/test/resources/_accuracy-streaming-sparksql.json b/measure/src/test/resources/_accuracy-streaming-sparksql.json index 052d2562f..353978f78 100644 --- a/measure/src/test/resources/_accuracy-streaming-sparksql.json +++ b/measure/src/test/resources/_accuracy-streaming-sparksql.json @@ -110,19 +110,21 @@ { "dsl.type": "spark-sql", "name": "accu", - "rule": "SELECT `miss_count`.`__tmst`, `miss_count`.`miss` AS `miss`, `total_count`.`total` AS `total`, (`total` - `miss`) AS `matched` FROM `miss_count` FULL JOIN `total_count` ON `miss_count`.`__tmst` = `total_count`.`__tmst`" + "rule": "SELECT `total_count`.`__tmst` AS `__tmst`, `total_count`.`total` AS `total`, coalesce(`miss_count`.`miss`, 0) AS `miss` FROM `total_count` FULL JOIN `miss_count` ON `total_count`.`__tmst` = `miss_count`.`__tmst`" }, { "dsl.type": "spark-sql", "name": "global_accu", + "rule": "SELECT coalesce(`global_accu`.`__tmst`, `accu`.`__tmst`) AS `__tmst`, coalesce(`accu`.`miss`, `global_accu`.`miss`) AS `miss`, coalesce(`global_accu`.`total`, `accu`.`total`) AS `total`, ((`accu`.`miss` IS NOT NULL) AND ((`global_accu`.`miss` IS NULL) OR (`accu`.`miss` < `global_accu`.`miss`))) AS `__metric` FROM `global_accu` FULL JOIN `accu` ON `global_accu`.`__tmst` = `accu`.`__tmst`", "global": true, - "global.init.rule": "SELECT *, (true) AS `__metric`, (true) AS `__record` FROM `accu`", - "rule": "SELECT coalesce(`global_accu`.`__tmst`, `accu`.`__tmst`) AS `__tmst`, coalesce(`accu`.`miss`, `global_accu`.`miss`) AS `miss`, coalesce(`global_accu`.`total`, `accu`.`total`) AS `total`, (`total` - `miss`) AS `matched`, (`accu`.`miss` < `global_accu`.`miss`) AS `__metric`, (`__metric` AND `matched` > 0) AS `__record` FROM `global_accu` FULL JOIN `accu` ON `global_accu`.`__tmst` = `accu`.`__tmst`" + "details": { + "init.rule": "SELECT `__tmst`, `total`, `miss`, (true) AS `__metric` FROM `accu`" + } }, { "dsl.type": "spark-sql", "name": "metric_accu", - "rule": "SELECT * FROM `global_accu` WHERE `__metric`", + "rule": "SELECT `__tmst`, `total`, `miss`, (`total` - `miss`) AS `matched` FROM `global_accu` WHERE `__metric`", "metric": { "name": "accu" } @@ -130,12 +132,18 @@ { "dsl.type": "spark-sql", "name": "record_accu", - "rule": "SELECT * FROM `global_accu` WHERE `__record`", + "rule": "SELECT `__tmst` FROM `metric_accu` WHERE `matched` > 0", "record": { "name": "missRecords", - "update.data.source": "source", + "data.source.cache": "source", "origin.DF": "missRecords" } + }, + { + "dsl.type": "spark-sql", + "name": "global_accu", + "rule": "SELECT * FROM `global_accu` WHERE (`miss` > 0)", + "global": true } ] } diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 8fb239759..c8ff8f13b 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -32,18 +32,38 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w test ("profiling groupby") { // val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil, BatchProcessType, RunPhase) - val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil) + val adaptor = GriffinDslAdaptor("source" :: "target" :: Nil, "count" :: Nil) +// val adaptor = SparkSqlAdaptor() + +// val ruleJson = +// """ +// |{ +// | "dsl.type": "griffin-dsl", +// | "dq.type": "profiling", +// | "name": "prof", +// | "rule": "count(*)" +// |} +// """.stripMargin val ruleJson = """ |{ | "dsl.type": "griffin-dsl", - | "dq.type": "profiling", - | "name": "prof", - | "rule": "count(*)", + | "dq.type": "accuracy", + | "name": "accu", + | "rule": "source.user_id = target.user_id", | "details": { | "source": "source", - | "persist.type": "record" + | "target": "target", + | "miss": "miss_count", + | "total": "total_count", + | "matched": "matched_count" + | }, + | "metric": { + | "name": "accu" + | }, + | "record": { + | "name": "missRecords" | } |} """.stripMargin @@ -65,10 +85,11 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w // } val timeInfo = CalcTimeInfo(123) - TempTables.registerTempTableNameOnly(timeInfo.key, "source") + TableRegisters.registerCompileTempTable(timeInfo.key, "source") - val ris = adaptor.genRuleInfos(rule, timeInfo) - ris.foreach(println) + val rp = adaptor.genRulePlan(timeInfo, rule, StreamingProcessType) + rp.ruleSteps.foreach(println) + rp.ruleExports.foreach(println) } test ("accuracy") { diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala index dc966e1ec..d1f938f91 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala @@ -42,8 +42,8 @@ class RuleAdaptorGroupTest extends FunSuite with Matchers with BeforeAndAfter wi "coalesce" :: "count" :: "upper" :: Nil ) val timeInfo = CalcTimeInfo(123) - TempTables.registerTempTableNameOnly(timeInfo.key, "source") - TempTables.registerTempTableNameOnly(timeInfo.key, "target") + TableRegisters.registerCompileTempTable(timeInfo.key, "source") + TableRegisters.registerCompileTempTable(timeInfo.key, "target") val confFile = "src/test/resources/config-test-accuracy-new.json" @@ -54,12 +54,12 @@ class RuleAdaptorGroupTest extends FunSuite with Matchers with BeforeAndAfter wi val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](111, 222, 333))) - val steps = RuleAdaptorGroup.genRuleSteps( - TmstTimeInfo(123, 321), - userParam.evaluateRuleParam, - dsTmsts - ) - steps.foreach(println) +// val steps = RuleAdaptorGroup.genRuleSteps( +// TmstTimeInfo(123, 321), +// userParam.evaluateRuleParam, +// dsTmsts +// ) +// steps.foreach(println) } private def readParamFile[T <: Param](file: String, fsType: String)(implicit m : Manifest[T]): Try[T] = { From b28579b49686a52680b0974d8086710457a923c8 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 26 Dec 2017 23:11:26 +0800 Subject: [PATCH 073/177] wait for persist --- .../data/connector/DataConnector.scala | 1 - .../measure/process/BatchDqProcess.scala | 16 ++++---- .../measure/process/engine/DqEngine.scala | 4 +- .../measure/process/engine/DqEngines.scala | 27 ++++++++++++- .../process/engine/SparkDqEngine.scala | 40 ++++++++++++++++++- 5 files changed, 76 insertions(+), 12 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 3161cb541..9ec41ad3d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -83,7 +83,6 @@ trait DataConnector extends Loggable with Serializable { // out data val outDf = sqlContext.table(s"`${thisTable}`") - println(outDf.count) // drop temp tables TableRegisters.unregisterRunTempTables(sqlContext, timeInfo.key) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index f1a5c0c69..4c332c625 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -105,22 +105,22 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { val rulePlan = RuleAdaptorGroup.genRulePlan( calcTimeInfo, userParam.evaluateRuleParam, StreamingProcessType) - rulePlan.ruleSteps.foreach(println) - println("====") - rulePlan.metricExports.foreach(println) - println("====") - rulePlan.recordExports.foreach(println) - println("====") +// rulePlan.ruleSteps.foreach(println) +// println("====") +// rulePlan.metricExports.foreach(println) +// println("====") +// rulePlan.recordExports.foreach(println) +// println("====") // run rules dqEngines.runRuleSteps(calcTimeInfo, rulePlan.ruleSteps) - // persist engines... + // TODO: persist engines might be better // persist results dqEngines.persistAllMetrics(calcTimeInfo, rulePlan.metricExports, StreamingProcessType, persistFactory) -// val dfs = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups.toSet) + dqEngines.persistAllRecords(calcTimeInfo, rulePlan.recordExports, StreamingProcessType, persistFactory) // dfs.foreach(_._2.cache()) // // dqEngines.persistAllRecords(dfs, persistFactory) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index 7ceab6e2b..a4256b109 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -24,7 +24,7 @@ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.ProcessType import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.plan.{MetricExport, RuleStep} +import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.DataFrame @@ -43,4 +43,6 @@ trait DqEngine extends Loggable with Serializable { // def collectUpdateCacheDatas(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] // def collectUpdateRDD(ruleStep: RuleStep): Option[DataFrame] + def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport, procType: ProcessType + ): Map[Long, DataFrame] } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index db5f7e2e8..167099a2f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -25,7 +25,7 @@ import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.ProcessType import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.plan.{MetricExport, RuleExport, RuleStep} +import org.apache.griffin.measure.rule.plan.{MetricExport, RecordExport, RuleExport, RuleStep} import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.DataFrame @@ -69,6 +69,23 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } + def persistAllRecords(timeInfo: TimeInfo, recordExports: Seq[RecordExport], + procType: ProcessType, persistFactory: PersistFactory + ): Unit = { + recordExports.foreach { recordExport => + val records = collectRecords(timeInfo, recordExport, procType) + + // TODO: persist records, maybe multiThreads + + records.foreach { pair => + val (tmst, df) = pair + println(tmst) +// println(df.count) +// df.show(10) + } + } + } + // def persistAllRecords(ruleSteps: Seq[ConcreteRuleStep], persistFactory: PersistFactory, // timeGroups: Iterable[Long]): Unit = { // val recordSteps = ruleSteps.filter(_.persistType == RecordPersistType) @@ -148,6 +165,14 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { ret } + def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport, procType: ProcessType + ): Map[Long, DataFrame] = { + val ret = engines.foldLeft(Map[Long, DataFrame]()) { (ret, engine) => + if (ret.nonEmpty) ret else engine.collectRecords(timeInfo, recordExport, procType) + } + ret + } + def collectUpdateRDD(ruleStep: RuleStep): Option[DataFrame] = { // engines.flatMap { engine => // engine.collectUpdateRDD(ruleStep) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index ccf484b3a..1e4655bad 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -23,7 +23,7 @@ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.plan.MetricExport +import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD @@ -36,6 +36,7 @@ trait SparkDqEngine extends DqEngine { val emptyMetricMap = Map[Long, Map[String, Any]]() val emptyMap = Map[String, Any]() + val emptyRecordMap = Map[Long, DataFrame]() private def getMetricMaps(dfName: String): Seq[Map[String, Any]] = { val pdf = sqlContext.table(s"`${dfName}`") @@ -106,6 +107,43 @@ trait SparkDqEngine extends DqEngine { } } else emptyMetricMap } + + + def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport, procType: ProcessType + ): Map[Long, DataFrame] = { + if (collectable) { + val RecordExport(_, stepName, _, originDFOpt) = recordExport + val stepDf = sqlContext.table(s"`${stepName}`") + val recordsDf = originDFOpt match { + case Some(originName) => sqlContext.table(s"`${originName}`") + case _ => stepDf + } + + procType match { + case BatchProcessType => { + val recordsDf = sqlContext.table(s"`${stepName}`") + emptyRecordMap + (timeInfo.calcTime -> recordsDf) + } + case StreamingProcessType => { + originDFOpt match { + case Some(originName) => { + val recordsDf = sqlContext.table(s"`${originName}`") + stepDf.collect.map { row => + val tmst = row.getAs[Long](InternalColumns.tmst) + val trdf = recordsDf.filter(s"`${InternalColumns.tmst}` = ${tmst}") + (tmst, trdf) + }.toMap + } + case _ => { + val recordsDf = sqlContext.table(s"`${stepName}`") + emptyRecordMap + (timeInfo.calcTime -> recordsDf) + } + } + } + } + } else emptyRecordMap + } + // // def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] = { // if (collectable) { From bd7c886c63dba36ca8435fc5518242d00aea8994 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 26 Dec 2017 23:25:52 +0800 Subject: [PATCH 074/177] multi thread persist --- .../measure/process/engine/DqEngines.scala | 48 +++++++++++++++++-- .../griffin/measure/utils/TimeUtil.scala | 5 +- 2 files changed, 44 insertions(+), 9 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 167099a2f..eb5ee7c66 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -18,6 +18,8 @@ under the License. */ package org.apache.griffin.measure.process.engine +import java.util.concurrent.atomic.AtomicInteger + import org.apache.griffin.measure.config.params.user.DataSourceParam import org.apache.griffin.measure.data.source._ import org.apache.griffin.measure.log.Loggable @@ -30,6 +32,11 @@ import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.DataFrame +import scala.concurrent._ +import scala.concurrent.duration.Duration +import scala.util.{Failure, Success} +import ExecutionContext.Implicits.global + case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { val persistOrder: List[PersistType] = List(MetricPersistType, RecordPersistType) @@ -75,14 +82,30 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { recordExports.foreach { recordExport => val records = collectRecords(timeInfo, recordExport, procType) - // TODO: persist records, maybe multiThreads - + val pc = ParallelCounter(records.size) + val pro = promise[Boolean] records.foreach { pair => val (tmst, df) = pair - println(tmst) -// println(df.count) -// df.show(10) + val future = Future { + // TODO: persist records + println(tmst) + df.show(10) + true + } + future.onComplete { + case Success(v) => { + pc.finishOne(v) + if (pc.checkDone) pro.trySuccess(pc.checkResult) + } + case Failure(ex) => { + println(s"plan step failure: ${ex.getMessage}") + pc.finishOne(false) + if (pc.checkDone) pro.trySuccess(pc.checkResult) + } + } } + Await.result(pro.future, Duration.Inf) + } } @@ -282,3 +305,18 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { // } } + +case class ParallelCounter(total: Int) extends Serializable { + private val done: AtomicInteger = new AtomicInteger(0) + private val result: AtomicInteger = new AtomicInteger(0) + def finishOne(suc: Boolean): Unit = { + if (suc) result.incrementAndGet + done.incrementAndGet + } + def checkDone: Boolean = { + done.get() >= total + } + def checkResult: Boolean = { + if (total > 0) result.get() > 0 else true + } +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala index 4717f0431..42a140f22 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala @@ -50,10 +50,7 @@ object TimeUtil extends Loggable { } } match { case Success(v) => Some(v) - case Failure(ex) => { - error(ex.getMessage) - None - } + case Failure(ex) => None } } value From 0d9f8198ad71509c8b54ec82d50f4c5852cb7acb Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 27 Dec 2017 18:34:00 +0800 Subject: [PATCH 075/177] streaming pass --- .../measure/cache/info/TimeInfoCache.scala | 2 +- .../data/connector/DataConnector.scala | 30 ++-- .../measure/data/source/DataSourceCache.scala | 20 +-- .../data/source/DataSourceFactory.scala | 12 +- .../measure/persist/LoggerPersist.scala | 26 ++-- .../measure/process/BatchDqProcess.scala | 25 ++-- .../measure/process/StreamingDqProcess.scala | 6 +- .../measure/process/StreamingDqThread.scala | 136 ++++++++++-------- .../measure/process/engine/DqEngines.scala | 36 +++-- .../process/engine/SparkSqlEngine.scala | 5 +- .../measure/process/temp/TableRegisters.scala | 8 ++ .../measure/process/temp/TableRegs.scala | 7 + .../griffin/measure/utils/HdfsUtil.scala | 2 +- .../_accuracy-streaming-griffindsl.json | 4 +- 14 files changed, 185 insertions(+), 134 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala index b581a584f..85dfe62fe 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala @@ -93,7 +93,7 @@ object TimeInfoCache extends Loggable with Serializable { val map = InfoCacheInstance.readInfo(List(finalLastProcTime, finalReadyTime)) val lastProcTime = getLong(map, finalLastProcTime) val curReadyTime = getLong(map, finalReadyTime) - (lastProcTime + 1, curReadyTime) + (lastProcTime, curReadyTime) } private def readCleanTime(): Long = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 9ec41ad3d..58a0a2358 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -41,7 +41,7 @@ trait DataConnector extends Loggable with Serializable { var tmstCache: TmstCache = _ protected def saveTmst(t: Long) = tmstCache.insert(t) - protected def readTmst(t: Long) = tmstCache.range(t, t + 20) + protected def readTmst(t: Long) = tmstCache.range(t, t + 1) def init(): Unit @@ -94,20 +94,20 @@ trait DataConnector extends Loggable with Serializable { // } // } - val range = if (id == "dc1") (0 until 20).toList else (0 until 1).toList - val withTmstDfs = range.map { i => - saveTmst(ms + i) - outDf.withColumn(tmstColName, lit(ms + i)).limit(49 - i) - } - Some(withTmstDfs.reduce(_ unionAll _)) - - // add tmst -// val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) -// -// // tmst cache -// saveTmst(ms) -// -// Some(withTmstDf) +// val range = if (id == "dc1") (0 until 20).toList else (0 until 1).toList +// val withTmstDfs = range.map { i => +// saveTmst(ms + i) +// outDf.withColumn(tmstColName, lit(ms + i)).limit(49 - i) +// } +// Some(withTmstDfs.reduce(_ unionAll _)) + + // add tmst column + val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) + + // tmst cache + saveTmst(ms) + + Some(withTmstDf) } } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala index 3685a5c2b..c3d62c17b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala @@ -33,7 +33,7 @@ import scala.util.{Failure, Success} import org.apache.griffin.measure.utils.ParamUtil._ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], - metricName: String, index: Int + dsName: String, index: Int ) extends DataCacheable with Loggable with Serializable { var tmstCache: TmstCache = _ @@ -44,15 +44,13 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], tmstCache.remove(outDateTmsts) } - val name = "" - val _FilePath = "file.path" val _InfoPath = "info.path" val _ReadyTimeInterval = "ready.time.interval" val _ReadyTimeDelay = "ready.time.delay" val _TimeRange = "time.range" - val defFilePath = s"hdfs:///griffin/cache/${metricName}/${index}" + val defFilePath = s"hdfs:///griffin/cache/${dsName}/${index}" val defInfoPath = s"${index}" val filePath: String = param.getString(_FilePath, defFilePath) @@ -74,6 +72,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], val rowSepLiteral = "\n" val partitionUnits: List[String] = List("hour", "min", "sec") + val minUnitTime: Long = TimeUtil.timeFromUnit(1, partitionUnits.last) val newCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.new") val oldCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.old") @@ -120,7 +119,8 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], } def readData(): (Option[DataFrame], Set[Long]) = { - val timeRange = TimeInfoCache.getTimeRange + val tr = TimeInfoCache.getTimeRange + val timeRange = (tr._1 + minUnitTime, tr._2) submitLastProcTime(timeRange._2) val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2) @@ -175,7 +175,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], println(s"update file path: ${dataFilePath}") } else { clearTmst(ms) - println(s"data source [${metricName}] timestamp [${ms}] cleared") + println(s"data source [${dsName}] timestamp [${ms}] cleared") } } catch { case e: Throwable => error(s"update data error: ${e.getMessage}") @@ -202,7 +202,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], println(s"update file path: ${dataFilePath}") } else { clearTmst(ms) - println(s"data source [${metricName}] timestamp [${ms}] cleared") + println(s"data source [${dsName}] timestamp [${ms}] cleared") } } catch { case e: Throwable => error(s"update data error: ${e.getMessage}") @@ -231,7 +231,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], println(s"update file path: ${dataFilePath}") } else { clearTmst(ms) - println(s"data source [${metricName}] timestamp [${ms}] cleared") + println(s"data source [${dsName}] timestamp [${ms}] cleared") } } catch { case e: Throwable => error(s"update data error: ${e.getMessage}") @@ -259,7 +259,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], val cleanTime = readCleanTime() cleanTime match { case Some(ct) => { - println(s"data source [${metricName}] old timestamps clear until [${ct}]") + println(s"data source [${dsName}] old timestamps clear until [${ct}]") // clear out date tmsts clearTmstsUntil(ct) @@ -319,7 +319,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], } - // here the range means [min, max], but the best range should be (min, max] + // here the range means [min, max] private def listPathsBetweenRanges(paths: List[String], partitionRanges: List[(Long, Long)] ): List[String] = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala index 5e2d116ec..733adeb46 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala @@ -36,18 +36,18 @@ object DataSourceFactory extends Loggable { val AvroRegex = """^(?i)avro$""".r def genDataSources(sqlContext: SQLContext, ssc: StreamingContext, dqEngines: DqEngines, - dataSourceParams: Seq[DataSourceParam], metricName: String) = { + dataSourceParams: Seq[DataSourceParam]) = { val filteredDsParams = trimDataSourceParams(dataSourceParams) filteredDsParams.zipWithIndex.flatMap { pair => val (param, index) = pair - genDataSource(sqlContext, ssc, dqEngines, param, metricName, index) + genDataSource(sqlContext, ssc, dqEngines, param, index) } } private def genDataSource(sqlContext: SQLContext, ssc: StreamingContext, dqEngines: DqEngines, dataSourceParam: DataSourceParam, - metricName: String, index: Int + index: Int ): Option[DataSource] = { val name = dataSourceParam.name val baseline = dataSourceParam.isBaseLine @@ -59,17 +59,17 @@ object DataSourceFactory extends Loggable { case _ => None } } - val dataSourceCacheOpt = genDataSourceCache(sqlContext, cacheParam, metricName, index) + val dataSourceCacheOpt = genDataSourceCache(sqlContext, cacheParam, name, index) Some(DataSource(sqlContext, name, baseline, dataConnectors, dataSourceCacheOpt)) } private def genDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], - metricName: String, index: Int + name: String, index: Int ) = { if (param != null) { try { - Some(DataSourceCache(sqlContext, param, metricName, index)) + Some(DataSourceCache(sqlContext, param, name, index)) } catch { case e: Throwable => { error(s"generate data source cache fails") diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala index e3b1869a5..d50c11ec9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala @@ -118,19 +118,19 @@ case class LoggerPersist(config: Map[String, Any], metricName: String, timeStamp } def persistRecords(df: DataFrame, name: String): Unit = { - println(s"${metricName} [${timeStamp}] records: ") - try { - val recordCount = df.count - val count = if (maxLogLines < 0) recordCount else scala.math.min(maxLogLines, recordCount) - val maxCount = count.toInt - if (maxCount > 0) { - val recDf = df.limit(maxCount) - val recordsArray = recDf.toJSON.collect() - recordsArray.foreach(println) - } - } catch { - case e: Throwable => error(e.getMessage) - } +// println(s"${metricName} [${timeStamp}] records: ") +// try { +// val recordCount = df.count +// val count = if (maxLogLines < 0) recordCount else scala.math.min(maxLogLines, recordCount) +// val maxCount = count.toInt +// if (maxCount > 0) { +// val recDf = df.limit(maxCount) +// val recordsArray = recDf.toJSON.collect() +// recordsArray.foreach(println) +// } +// } catch { +// case e: Throwable => error(e.getMessage) +// } } def persistRecords(records: Iterable[String], name: String): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 4c332c625..53136b9b4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -88,7 +88,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { val dqEngines = DqEngineFactory.genDqEngines(sqlContext) // generate data sources - val dataSources = DataSourceFactory.genDataSources(sqlContext, null, dqEngines, userParam.dataSources, metricName) + val dataSources = DataSourceFactory.genDataSources(sqlContext, null, dqEngines, userParam.dataSources) dataSources.foreach(_.init) // init data sources @@ -103,7 +103,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // CalcTimeInfo(appTime), userParam.evaluateRuleParam, dsTmsts) val rulePlan = RuleAdaptorGroup.genRulePlan( - calcTimeInfo, userParam.evaluateRuleParam, StreamingProcessType) + calcTimeInfo, userParam.evaluateRuleParam, BatchProcessType) // rulePlan.ruleSteps.foreach(println) // println("====") @@ -115,12 +115,12 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // run rules dqEngines.runRuleSteps(calcTimeInfo, rulePlan.ruleSteps) - // TODO: persist engines might be better - // persist results - dqEngines.persistAllMetrics(calcTimeInfo, rulePlan.metricExports, StreamingProcessType, persistFactory) + dqEngines.persistAllMetrics(calcTimeInfo, rulePlan.metricExports, + BatchProcessType, persistFactory) - dqEngines.persistAllRecords(calcTimeInfo, rulePlan.recordExports, StreamingProcessType, persistFactory) + dqEngines.persistAllRecords(calcTimeInfo, rulePlan.recordExports, + BatchProcessType, persistFactory, dataSources) // dfs.foreach(_._2.cache()) // // dqEngines.persistAllRecords(dfs, persistFactory) @@ -137,10 +137,10 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // sqlContext.tables().show(50) // println(sqlContext.tableNames().size) - sqlContext.tables().show(50) +// sqlContext.tables().show(50) // clean data - cleanRunData(calcTimeInfo) + cleanData(calcTimeInfo) // sqlContext.tables().show(50) // println(sqlContext.tableNames().size) @@ -156,17 +156,18 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // } // // // -- test -- - sqlContext.tables().show(50) +// sqlContext.tables().show(50) } - private def cleanRunData(timeInfo: TimeInfo): Unit = { + private def cleanData(timeInfo: TimeInfo): Unit = { TableRegisters.unregisterRunTempTables(sqlContext, timeInfo.key) - TableRegisters.unregisterRunGlobalTables(sqlContext) TableRegisters.unregisterCompileTempTables(timeInfo.key) - TableRegisters.unregisterCompileGlobalTables } def end: Try[_] = Try { + TableRegisters.unregisterRunGlobalTables(sqlContext) + TableRegisters.unregisterCompileGlobalTables + sparkContext.stop } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala index 8ee4a9cb0..f87166a71 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala @@ -27,6 +27,7 @@ import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.data.source.DataSourceFactory import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngineFactory +import org.apache.griffin.measure.process.temp.TableRegisters import org.apache.griffin.measure.rule.adaptor.RuleAdaptorGroup import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.rule.udf.GriffinUdfs @@ -99,7 +100,7 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { val dqEngines = DqEngineFactory.genDqEngines(sqlContext) // generate data sources - val dataSources = DataSourceFactory.genDataSources(sqlContext, ssc, dqEngines, userParam.dataSources, metricName) + val dataSources = DataSourceFactory.genDataSources(sqlContext, ssc, dqEngines, userParam.dataSources) dataSources.foreach(_.init) // process thread @@ -141,6 +142,9 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { } def end: Try[_] = Try { + TableRegisters.unregisterCompileGlobalTables() + TableRegisters.unregisterRunGlobalTables(sqlContext) + sparkContext.stop InfoCacheInstance.close diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index a9f6bd048..3e5e56991 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -44,47 +44,59 @@ case class StreamingDqThread(sqlContext: SQLContext, val lock = InfoCacheInstance.genLock("process") def run(): Unit = { -// val updateTimeDate = new Date() -// val updateTime = updateTimeDate.getTime -// println(s"===== [${updateTimeDate}] process begins =====") -// val locked = lock.lock(5, TimeUnit.SECONDS) -// if (locked) { -// try { -// -// val st = new Date().getTime -// appPersist.log(st, s"starting process ...") -// val calcTimeInfo = CalcTimeInfo(st) -// -// TimeInfoCache.startTimeInfoCache -// -// // init data sources -// val dsTmsts = dqEngines.loadData(dataSources, calcTimeInfo) -// -// println(s"data sources timestamps: ${dsTmsts}") -// -// // generate rule steps + val updateTimeDate = new Date() + val updateTime = updateTimeDate.getTime + println(s"===== [${updateTimeDate}] process begins =====") + val locked = lock.lock(5, TimeUnit.SECONDS) + if (locked) { + try { + + val st = new Date().getTime + appPersist.log(st, s"starting process ...") + val calcTimeInfo = CalcTimeInfo(st) + + TimeInfoCache.startTimeInfoCache + + // init data sources + val dsTmsts = dqEngines.loadData(dataSources, calcTimeInfo) + + println(s"data sources timestamps: ${dsTmsts}") + + // generate rule steps // val ruleSteps = RuleAdaptorGroup.genRuleSteps( // CalcTimeInfo(st), evaluateRuleParam, dsTmsts) -// -//// ruleSteps.foreach(println) -// -// // run rules + val rulePlan = RuleAdaptorGroup.genRulePlan( + calcTimeInfo, evaluateRuleParam, StreamingProcessType) + +// ruleSteps.foreach(println) + + // run rules // dqEngines.runRuleSteps(ruleSteps) -// -// val ct = new Date().getTime -// val calculationTimeStr = s"calculation using time: ${ct - st} ms" -//// println(calculationTimeStr) -// appPersist.log(ct, calculationTimeStr) -// -// // persist results + dqEngines.runRuleSteps(calcTimeInfo, rulePlan.ruleSteps) + + val ct = new Date().getTime + val calculationTimeStr = s"calculation using time: ${ct - st} ms" +// println(calculationTimeStr) + appPersist.log(ct, calculationTimeStr) + + // persist results // val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) -//// println(s"--- timeGroups: ${timeGroups}") -// -// val rt = new Date().getTime -// val persistResultTimeStr = s"persist result using time: ${rt - ct} ms" -//// println(persistResultTimeStr) -// appPersist.log(rt, persistResultTimeStr) -// + dqEngines.persistAllMetrics(calcTimeInfo, rulePlan.metricExports, + StreamingProcessType, persistFactory) +// println(s"--- timeGroups: ${timeGroups}") + + val rt = new Date().getTime + val persistResultTimeStr = s"persist result using time: ${rt - ct} ms" + appPersist.log(rt, persistResultTimeStr) + + // persist records + dqEngines.persistAllRecords(calcTimeInfo, rulePlan.recordExports, + StreamingProcessType, persistFactory, dataSources) + + val et = new Date().getTime + val persistTimeStr = s"persist records using time: ${et - rt} ms" + appPersist.log(et, persistTimeStr) + // val dfs = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups.toSet) // dfs.foreach(_._2.cache()) // dfs.foreach { pr => @@ -107,34 +119,42 @@ case class StreamingDqThread(sqlContext: SQLContext, //// dqEngines.updateDataSources(ruleSteps, dataSources, timeGroups) // // dfs.foreach(_._2.unpersist()) -// -// TimeInfoCache.endTimeInfoCache -// -// // clean old data -// cleanData(calcTimeInfo) -// -// val et = new Date().getTime -// val persistTimeStr = s"persist records using time: ${et - lt} ms" -//// println(persistTimeStr) -// appPersist.log(et, persistTimeStr) -// -// } catch { -// case e: Throwable => error(s"process error: ${e.getMessage}") -// } finally { -// lock.unlock() -// } -// } else { -// println(s"===== [${updateTimeDate}] process ignores =====") -// } -// val endTime = new Date().getTime -// println(s"===== [${updateTimeDate}] process ends, using ${endTime - updateTime} ms =====") + + TimeInfoCache.endTimeInfoCache + +// sqlContext.tables().show(20) + + // cache global data +// val globalTables = TableRegisters.getRunGlobalTables +// globalTables.foreach { gt => +// val df = sqlContext.table(gt) +// df.cache +// } + + // clean old data + cleanData(calcTimeInfo) + +// sqlContext.tables().show(20) + + } catch { + case e: Throwable => error(s"process error: ${e.getMessage}") + } finally { + lock.unlock() + } + } else { + println(s"===== [${updateTimeDate}] process ignores =====") + } + val endTime = new Date().getTime + println(s"===== [${updateTimeDate}] process ends, using ${endTime - updateTime} ms =====") } // clean old data and old result cache private def cleanData(timeInfo: TimeInfo): Unit = { try { dataSources.foreach(_.cleanOldData) + TableRegisters.unregisterRunTempTables(sqlContext, timeInfo.key) + TableRegisters.unregisterCompileTempTables(timeInfo.key) val cleanTime = TimeInfoCache.getCleanTime CacheResultProcesser.refresh(cleanTime) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index eb5ee7c66..f91eeb871 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -76,20 +76,23 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } - def persistAllRecords(timeInfo: TimeInfo, recordExports: Seq[RecordExport], - procType: ProcessType, persistFactory: PersistFactory - ): Unit = { - recordExports.foreach { recordExport => - val records = collectRecords(timeInfo, recordExport, procType) - - val pc = ParallelCounter(records.size) - val pro = promise[Boolean] + private def persistCollectedRecords(recordExport: RecordExport, records: Map[Long, DataFrame], + persistFactory: PersistFactory, dataSources: Seq[DataSource]): Unit = { + val pc = ParallelCounter(records.size) + val pro = promise[Boolean] + if (records.size > 0) { records.foreach { pair => val (tmst, df) = pair + val persist = persistFactory.getPersists(tmst) + val updateDsCaches = recordExport.dataSourceCacheOpt match { + case Some(dsName) => dataSources.filter(_.name == dsName).flatMap(_.dataSourceCacheOpt) + case _ => Nil + } val future = Future { - // TODO: persist records - println(tmst) - df.show(10) +// df.cache + persist.persistRecords(df, recordExport.name) + updateDsCaches.foreach(_.updateData(df, tmst)) +// df.unpersist true } future.onComplete { @@ -104,8 +107,17 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } } - Await.result(pro.future, Duration.Inf) + } else pro.trySuccess(true) + Await.result(pro.future, Duration.Inf) + } + + def persistAllRecords(timeInfo: TimeInfo, recordExports: Seq[RecordExport], procType: ProcessType, + persistFactory: PersistFactory, dataSources: Seq[DataSource] + ): Unit = { + recordExports.foreach { recordExport => + val records = collectRecords(timeInfo, recordExport, procType) + persistCollectedRecords(recordExport, records, persistFactory, dataSources) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index d914afdd0..33a7583b8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -46,11 +46,10 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { case Some(initRule: String) => sqlContext.sql(initRule) case _ => sqlContext.emptyDataFrame } - } else { - sqlContext.sql(rule) - } + } else sqlContext.sql(rule) if (global) { + rdf.cache TableRegisters.registerRunGlobalTable(rdf, name) } else { TableRegisters.registerRunTempTable(rdf, timeInfo.key, name) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegisters.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegisters.scala index a57bb21df..91a754129 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegisters.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegisters.scala @@ -137,6 +137,14 @@ object TableRegisters extends Loggable { compileTableRegs.existTable(key, table) } + def getRunGlobalTables(): Set[String] = { + getRunTempTables(_global) + } + + def getRunTempTables(key: String): Set[String] = { + runTableRegs.getTables(key) + } + } //object TempKeys { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegs.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegs.scala index 26936147f..d205099d7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegs.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TableRegs.scala @@ -71,4 +71,11 @@ case class TableRegs() { } } + def getTables(key: String): Set[String] = { + tables.get(key) match { + case Some(set) => set + case _ => Set[String]() + } + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index aa5643b87..0a91fab7e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.setBoolean("dfs.support.append", true) -// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost + conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) diff --git a/measure/src/test/resources/_accuracy-streaming-griffindsl.json b/measure/src/test/resources/_accuracy-streaming-griffindsl.json index 331e20625..fac17d214 100644 --- a/measure/src/test/resources/_accuracy-streaming-griffindsl.json +++ b/measure/src/test/resources/_accuracy-streaming-griffindsl.json @@ -103,7 +103,7 @@ "miss": "miss_count", "total": "total_count", "matched": "matched_count", - "global.metric.keep": "1d" + "global.metric.keep": "3m" }, "metric": { "name": "accu" @@ -115,4 +115,4 @@ } ] } -} \ No newline at end of file +} From b86612a86456bbff6d005865486237333aa5989a Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 28 Dec 2017 09:44:25 +0800 Subject: [PATCH 076/177] hdfs util --- .../main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index 0a91fab7e..aa5643b87 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.setBoolean("dfs.support.append", true) - conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost +// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) From 0e1f9681b5293c270ed9245b3416fadbc9ad88ab Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 28 Dec 2017 12:58:47 +0800 Subject: [PATCH 077/177] add df.cache in dq engine, to fix df reuse bug if file removed before the lasy execution --- .../process/engine/DataFrameOprEngine.scala | 23 +++++-------------- .../process/engine/SparkSqlEngine.scala | 2 +- 2 files changed, 7 insertions(+), 18 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index 9db29d7c9..64aef9df2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -45,24 +45,13 @@ case class DataFrameOprEngine(sqlContext: SQLContext) extends SparkDqEngine { ruleStep match { case DfOprStep(name, rule, details) => { try { - rule match { - case DataFrameOprs._fromJson => { - val df = DataFrameOprs.fromJson(sqlContext, details) - TableRegisters.registerRunTempTable(df, timeInfo.key, name) - } -// case DataFrameOprs._accuracy => { -// val df = DataFrameOprs.accuracy(sqlContext, ti, ri) -// df.show(10) -// ri.getNames.foreach(TempTables.registerTempTable(df, ti.key, _)) -// } - case DataFrameOprs._clear => { - val df = DataFrameOprs.clear(sqlContext, details) - TableRegisters.registerRunTempTable(df, timeInfo.key, name) - } - case _ => { - throw new Exception(s"df opr [ ${rule} ] not supported") - } + val df = rule match { + case DataFrameOprs._fromJson => DataFrameOprs.fromJson(sqlContext, details) + case DataFrameOprs._clear => DataFrameOprs.clear(sqlContext, details) + case _ => throw new Exception(s"df opr [ ${rule} ] not supported") } + df.cache + TableRegisters.registerRunTempTable(df, timeInfo.key, name) true } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index 33a7583b8..a82c03229 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -47,9 +47,9 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { case _ => sqlContext.emptyDataFrame } } else sqlContext.sql(rule) + rdf.cache if (global) { - rdf.cache TableRegisters.registerRunGlobalTable(rdf, name) } else { TableRegisters.registerRunTempTable(rdf, timeInfo.key, name) From 9357b52dd12de3cd4e54655b32e1d6643131a4ca Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 28 Dec 2017 15:10:18 +0800 Subject: [PATCH 078/177] persist modify to iterable for streaming mode --- .../griffin/measure/persist/HdfsPersist.scala | 29 +++++++++ .../griffin/measure/persist/HttpPersist.scala | 1 + .../measure/persist/LoggerPersist.scala | 35 +++++++--- .../measure/persist/MongoPersist.scala | 2 + .../measure/persist/MultiPersists.scala | 9 +++ .../griffin/measure/persist/Persist.scala | 1 + .../measure/process/engine/DqEngine.scala | 6 +- .../measure/process/engine/DqEngines.scala | 64 +++++++++++++++++-- .../process/engine/SparkDqEngine.scala | 43 ++++++++++++- 9 files changed, 174 insertions(+), 16 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala index 518c2c9b2..11c44d854 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/HdfsPersist.scala @@ -252,6 +252,35 @@ case class HdfsPersist(config: Map[String, Any], metricName: String, timeStamp: } } + def persistRecords(records: RDD[String], name: String): Unit = { + val path = filePath(name) + clearOldRecords(path) + try { + val recordCount = records.count + val count = if (maxPersistLines < 0) recordCount else scala.math.min(maxPersistLines, recordCount) + if (count > 0) { + val groupCount = ((count - 1) / maxLinesPerFile + 1).toInt + if (groupCount <= 1) { + val recs = records.take(count.toInt) + persistRecords2Hdfs(path, recs) + } else { + val groupedRecords: RDD[(Long, Iterable[String])] = + records.zipWithIndex.flatMap { r => + val gid = r._2 / maxLinesPerFile + if (gid < groupCount) Some((gid, r._1)) else None + }.groupByKey() + groupedRecords.foreach { group => + val (gid, recs) = group + val hdfsPath = if (gid == 0) path else withSuffix(path, gid.toString) + persistRecords2Hdfs(hdfsPath, recs) + } + } + } + } catch { + case e: Throwable => error(e.getMessage) + } + } + def persistRecords(records: Iterable[String], name: String): Unit = { val path = filePath(name) clearOldRecords(path) diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/HttpPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/HttpPersist.scala index 3c07a9094..c4abc22d4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/HttpPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/HttpPersist.scala @@ -90,6 +90,7 @@ case class HttpPersist(config: Map[String, Any], metricName: String, timeStamp: def log(rt: Long, msg: String): Unit = {} def persistRecords(df: DataFrame, name: String): Unit = {} + def persistRecords(records: RDD[String], name: String): Unit = {} def persistRecords(records: Iterable[String], name: String): Unit = {} // def persistMetrics(metrics: Seq[String], name: String): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala index d50c11ec9..d9a601a88 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/LoggerPersist.scala @@ -133,17 +133,32 @@ case class LoggerPersist(config: Map[String, Any], metricName: String, timeStamp // } } + def persistRecords(records: RDD[String], name: String): Unit = { +// println(s"${metricName} [${timeStamp}] records: ") +// try { +// val recordCount = records.count +// val count = if (maxLogLines < 0) recordCount else scala.math.min(maxLogLines, recordCount) +// val maxCount = count.toInt +// if (maxCount > 0) { +// val recordsArray = records.take(maxCount) +// recordsArray.foreach(println) +// } +// } catch { +// case e: Throwable => error(e.getMessage) +// } + } + def persistRecords(records: Iterable[String], name: String): Unit = { - println(s"${metricName} [${timeStamp}] records: ") - try { - val recordCount = records.size - val count = if (maxLogLines < 0) recordCount else scala.math.min(maxLogLines, recordCount) - if (count > 0) { - records.foreach(println) - } - } catch { - case e: Throwable => error(e.getMessage) - } +// println(s"${metricName} [${timeStamp}] records: ") +// try { +// val recordCount = records.size +// val count = if (maxLogLines < 0) recordCount else scala.math.min(maxLogLines, recordCount) +// if (count > 0) { +// records.foreach(println) +// } +// } catch { +// case e: Throwable => error(e.getMessage) +// } } // def persistMetrics(metrics: Seq[String], name: String): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala index d36e47170..b5923cec6 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/MongoPersist.scala @@ -20,6 +20,7 @@ package org.apache.griffin.measure.persist import org.mongodb.scala._ import org.apache.griffin.measure.utils.ParamUtil._ +import org.apache.spark.rdd.RDD import org.apache.spark.sql.DataFrame import org.mongodb.scala.model.{Filters, UpdateOptions, Updates} import org.mongodb.scala.result.UpdateResult @@ -44,6 +45,7 @@ case class MongoPersist(config: Map[String, Any], metricName: String, timeStamp: def log(rt: Long, msg: String): Unit = {} def persistRecords(df: DataFrame, name: String): Unit = {} + def persistRecords(records: RDD[String], name: String): Unit = {} def persistRecords(records: Iterable[String], name: String): Unit = {} def persistMetrics(metrics: Map[String, Any]): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala index 82b1781a1..aa97afa62 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala @@ -67,6 +67,15 @@ case class MultiPersists(persists: Iterable[Persist]) extends Persist { } } } + def persistRecords(records: RDD[String], name: String): Unit = { + persists.foreach { persist => + try { + persist.persistRecords(records, name) + } catch { + case e: Throwable => error(s"persist records error: ${e.getMessage}") + } + } + } def persistRecords(records: Iterable[String], name: String): Unit = { persists.foreach { persist => try { diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/Persist.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/Persist.scala index d354a5114..361fad779 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/Persist.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/Persist.scala @@ -44,6 +44,7 @@ trait Persist extends Loggable with Serializable { // def records(recs: Iterable[String], tp: String): Unit def persistRecords(df: DataFrame, name: String): Unit + def persistRecords(records: RDD[String], name: String): Unit def persistRecords(records: Iterable[String], name: String): Unit // def persistMetrics(metrics: Seq[String], name: String): Unit def persistMetrics(metrics: Map[String, Any]): Unit diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index a4256b109..1d166b274 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -27,7 +27,7 @@ import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.spark.rdd.RDD -import org.apache.spark.sql.DataFrame +import org.apache.spark.sql.{DataFrame, Row} trait DqEngine extends Loggable with Serializable { @@ -45,4 +45,8 @@ trait DqEngine extends Loggable with Serializable { // def collectUpdateRDD(ruleStep: RuleStep): Option[DataFrame] def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport, procType: ProcessType ): Map[Long, DataFrame] + + + def collectBatchRecords(recordExport: RecordExport): Option[RDD[String]] + def collectStreamingRecords(recordExport: RecordExport): Option[RDD[(Long, Iterable[String])]] } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index f91eeb871..94aa57437 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -24,13 +24,14 @@ import org.apache.griffin.measure.config.params.user.DataSourceParam import org.apache.griffin.measure.data.source._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} -import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan.{MetricExport, RecordExport, RuleExport, RuleStep} import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD -import org.apache.spark.sql.DataFrame +import org.apache.spark.sql.{DataFrame, Row} import scala.concurrent._ import scala.concurrent.duration.Duration @@ -115,9 +116,64 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { def persistAllRecords(timeInfo: TimeInfo, recordExports: Seq[RecordExport], procType: ProcessType, persistFactory: PersistFactory, dataSources: Seq[DataSource] ): Unit = { + // method 1: multi thread persist multi data frame +// recordExports.foreach { recordExport => +// val records = collectRecords(timeInfo, recordExport, procType) +// persistCollectedRecords(recordExport, records, persistFactory, dataSources) +// } + + // method 2: multi thread persist multi iterable recordExports.foreach { recordExport => - val records = collectRecords(timeInfo, recordExport, procType) - persistCollectedRecords(recordExport, records, persistFactory, dataSources) +// val records = collectRecords(timeInfo, recordExport, procType) + procType match { + case BatchProcessType => { + collectBatchRecords(recordExport).foreach { rdd => + persistCollectedBatchRecords(timeInfo, recordExport, rdd, persistFactory) + } + } + case StreamingProcessType => { + collectStreamingRecords(recordExport).foreach { rdd => + persistCollectedStreamingRecords(recordExport, rdd, persistFactory, dataSources) + } + } + } + } + } + + def collectBatchRecords(recordExport: RecordExport): Option[RDD[String]] = { + val ret = engines.foldLeft(None: Option[RDD[String]]) { (ret, engine) => + if (ret.nonEmpty) ret else engine.collectBatchRecords(recordExport) + } + ret + } + def collectStreamingRecords(recordExport: RecordExport): Option[RDD[(Long, Iterable[String])]] = { + val ret = engines.foldLeft(None: Option[RDD[(Long, Iterable[String])]]) { (ret, engine) => + if (ret.nonEmpty) ret else engine.collectStreamingRecords(recordExport) + } + ret + } + + private def persistCollectedBatchRecords(timeInfo: TimeInfo, recordExport: RecordExport, + records: RDD[String], persistFactory: PersistFactory + ): Unit = { + val persist = persistFactory.getPersists(timeInfo.calcTime) + persist.persistRecords(records, recordExport.name) + } + + private def persistCollectedStreamingRecords(recordExport: RecordExport, records: RDD[(Long, Iterable[String])], + persistFactory: PersistFactory, dataSources: Seq[DataSource] + ): Unit = { + val updateDsCaches = recordExport.dataSourceCacheOpt match { + case Some(dsName) => dataSources.filter(_.name == dsName).flatMap(_.dataSourceCacheOpt) + case _ => Nil + } + + records.foreach { pair => + val (tmst, strs) = pair + val persist = persistFactory.getPersists(tmst) + + persist.persistRecords(strs, recordExport.name) + updateDsCaches.foreach(_.updateData(strs, tmst)) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 1e4655bad..d05828654 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -27,7 +27,7 @@ import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD -import org.apache.spark.sql.{DataFrame, SQLContext} +import org.apache.spark.sql.{DataFrame, Row, SQLContext} import org.apache.griffin.measure.utils.ParamUtil._ trait SparkDqEngine extends DqEngine { @@ -144,6 +144,47 @@ trait SparkDqEngine extends DqEngine { } else emptyRecordMap } + private def getRecordDataFrame(recordExport: RecordExport): Option[DataFrame] = { + if (collectable) { + val RecordExport(_, stepName, _, _) = recordExport + val stepDf = sqlContext.table(s"`${stepName}`") + Some(stepDf) + } else None + } + + def collectBatchRecords(recordExport: RecordExport): Option[RDD[String]] = { + getRecordDataFrame(recordExport).map(_.toJSON) + } + + def collectStreamingRecords(recordExport: RecordExport): Option[RDD[(Long, Iterable[String])]] = { + val RecordExport(_, _, _, originDFOpt) = recordExport + getRecordDataFrame(recordExport).flatMap { stepDf => + originDFOpt match { + case Some(originName) => { + val tmsts = stepDf.collect.flatMap { row => + try { Some(row.getAs[Long](InternalColumns.tmst)) } catch { case _: Throwable => None } + } + if (tmsts.size > 0) { + val recordsDf = sqlContext.table(s"`${originName}`") + val records = recordsDf.flatMap { row => + val tmst = row.getAs[Long](InternalColumns.tmst) + if (tmsts.contains(tmst)) { + try { + val map = SparkRowFormatter.formatRow(row) + val str = JsonUtil.toJson(map) + Some((tmst, str)) + } catch { + case e: Throwable => None + } + } else None + } + Some(records.groupByKey) + } else None + } + } + } + } + // // def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] = { // if (collectable) { From 0cd121b386e15da7373bb2302a4a0783c1b49b50 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 28 Dec 2017 20:25:32 +0800 Subject: [PATCH 079/177] fix all matched ignore bug --- .../measure/process/engine/DqEngine.scala | 2 +- .../measure/process/engine/DqEngines.scala | 17 ++++++++++++----- .../measure/process/engine/SparkDqEngine.scala | 11 +++++++---- 3 files changed, 20 insertions(+), 10 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index 1d166b274..1f625dbd3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -48,5 +48,5 @@ trait DqEngine extends Loggable with Serializable { def collectBatchRecords(recordExport: RecordExport): Option[RDD[String]] - def collectStreamingRecords(recordExport: RecordExport): Option[RDD[(Long, Iterable[String])]] + def collectStreamingRecords(recordExport: RecordExport): Option[(RDD[(Long, Iterable[String])], Set[Long])] } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 94aa57437..bd781796b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -132,8 +132,8 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } case StreamingProcessType => { - collectStreamingRecords(recordExport).foreach { rdd => - persistCollectedStreamingRecords(recordExport, rdd, persistFactory, dataSources) + collectStreamingRecords(recordExport).foreach { rddPair => + persistCollectedStreamingRecords(recordExport, rddPair._1, rddPair._2, persistFactory, dataSources) } } } @@ -146,8 +146,8 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } ret } - def collectStreamingRecords(recordExport: RecordExport): Option[RDD[(Long, Iterable[String])]] = { - val ret = engines.foldLeft(None: Option[RDD[(Long, Iterable[String])]]) { (ret, engine) => + def collectStreamingRecords(recordExport: RecordExport): Option[(RDD[(Long, Iterable[String])], Set[Long])] = { + val ret = engines.foldLeft(None: Option[(RDD[(Long, Iterable[String])], Set[Long])]) { (ret, engine) => if (ret.nonEmpty) ret else engine.collectStreamingRecords(recordExport) } ret @@ -161,7 +161,8 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } private def persistCollectedStreamingRecords(recordExport: RecordExport, records: RDD[(Long, Iterable[String])], - persistFactory: PersistFactory, dataSources: Seq[DataSource] + emtpyRecordKeys: Set[Long], persistFactory: PersistFactory, + dataSources: Seq[DataSource] ): Unit = { val updateDsCaches = recordExport.dataSourceCacheOpt match { case Some(dsName) => dataSources.filter(_.name == dsName).flatMap(_.dataSourceCacheOpt) @@ -175,6 +176,12 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { persist.persistRecords(strs, recordExport.name) updateDsCaches.foreach(_.updateData(strs, tmst)) } + + emtpyRecordKeys.foreach { t => + val persist = persistFactory.getPersists(t) + persist.persistRecords(Nil, recordExport.name) + updateDsCaches.foreach(_.updateData(Nil, t)) + } } // def persistAllRecords(ruleSteps: Seq[ConcreteRuleStep], persistFactory: PersistFactory, diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index d05828654..e08deaa2a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -156,14 +156,14 @@ trait SparkDqEngine extends DqEngine { getRecordDataFrame(recordExport).map(_.toJSON) } - def collectStreamingRecords(recordExport: RecordExport): Option[RDD[(Long, Iterable[String])]] = { + def collectStreamingRecords(recordExport: RecordExport): Option[(RDD[(Long, Iterable[String])], Set[Long])] = { val RecordExport(_, _, _, originDFOpt) = recordExport getRecordDataFrame(recordExport).flatMap { stepDf => originDFOpt match { case Some(originName) => { - val tmsts = stepDf.collect.flatMap { row => + val tmsts = (stepDf.collect.flatMap { row => try { Some(row.getAs[Long](InternalColumns.tmst)) } catch { case _: Throwable => None } - } + }).toSet if (tmsts.size > 0) { val recordsDf = sqlContext.table(s"`${originName}`") val records = recordsDf.flatMap { row => @@ -178,7 +178,10 @@ trait SparkDqEngine extends DqEngine { } } else None } - Some(records.groupByKey) + val recordGroups = records.groupByKey + val groupKeys = recordGroups.keys.collect.toSet + val emptyRecordKeys = tmsts -- groupKeys + Some((records.groupByKey, emptyRecordKeys)) } else None } } From 84892a8e7787bbd644b729e5ca221d2e4b521780 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 29 Dec 2017 13:31:19 +0800 Subject: [PATCH 080/177] enable accuracy df opr --- .../data/connector/DataConnector.scala | 20 +- .../measure/process/BatchDqProcess.scala | 9 +- .../measure/process/StreamingDqProcess.scala | 5 +- .../measure/process/StreamingDqThread.scala | 6 +- .../process/engine/DataFrameOprEngine.scala | 152 +++++------ .../process/engine/SparkSqlEngine.scala | 11 +- .../process/temp/DataFrameCaches.scala | 107 ++++++++ .../rule/adaptor/GriffinDslAdaptor.scala | 257 ++++++++++++++---- .../rule/adaptor/InternalColumns.scala | 4 +- .../griffin/measure/rule/plan/DfOprStep.scala | 6 +- .../griffin/measure/rule/plan/RuleStep.scala | 5 + .../measure/rule/plan/SparkSqlStep.scala | 1 + .../_accuracy-streaming-sparksql.json | 2 + 13 files changed, 428 insertions(+), 157 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 58a0a2358..3af8ea3ee 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -25,7 +25,7 @@ import org.apache.griffin.measure.config.params.user.DataConnectorParam import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.{BatchDqProcess, BatchProcessType} import org.apache.griffin.measure.process.engine._ -import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.{InternalColumns, PreProcPhase, RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.preproc.PreProcRuleGenerator @@ -63,12 +63,12 @@ trait DataConnector extends Loggable with Serializable { def preProcess(dfOpt: Option[DataFrame], ms: Long): Option[DataFrame] = { val timeInfo = CalcTimeInfo(ms, id) val thisTable = thisName(ms) - val preProcRules = PreProcRuleGenerator.genPreProcRules(dcParam.preProc, suffix(ms)) -// val names = PreProcRuleGenerator.getRuleNames(preProcRules).toSet + thisTable try { dfOpt.flatMap { df => - // in data + val preProcRules = PreProcRuleGenerator.genPreProcRules(dcParam.preProc, suffix(ms)) + + // init data TableRegisters.registerRunTempTable(df, timeInfo.key, thisTable) // val dsTmsts = Map[String, Set[Long]]((thisTable -> Set[Long](ms))) @@ -84,8 +84,6 @@ trait DataConnector extends Loggable with Serializable { // out data val outDf = sqlContext.table(s"`${thisTable}`") - // drop temp tables - TableRegisters.unregisterRunTempTables(sqlContext, timeInfo.key) // names.foreach { name => // try { // TempTables.unregisterTempTable(sqlContext, ms, name) @@ -107,6 +105,9 @@ trait DataConnector extends Loggable with Serializable { // tmst cache saveTmst(ms) + // drop temp tables + cleanData(timeInfo) + Some(withTmstDf) } } catch { @@ -118,6 +119,13 @@ trait DataConnector extends Loggable with Serializable { } + private def cleanData(timeInfo: TimeInfo): Unit = { + TableRegisters.unregisterRunTempTables(sqlContext, timeInfo.key) + + DataFrameCaches.uncacheDataFrames(timeInfo.key) + DataFrameCaches.clearTrashDataFrames(timeInfo.key) + } + } object DataConnectorIdGenerator { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 53136b9b4..83753845c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -28,7 +28,7 @@ import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.data.source.DataSourceFactory import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.{DqEngineFactory, SparkSqlEngine} -import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.rule.udf.GriffinUdfs @@ -162,12 +162,19 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { private def cleanData(timeInfo: TimeInfo): Unit = { TableRegisters.unregisterRunTempTables(sqlContext, timeInfo.key) TableRegisters.unregisterCompileTempTables(timeInfo.key) + + DataFrameCaches.uncacheDataFrames(timeInfo.key) + DataFrameCaches.clearTrashDataFrames(timeInfo.key) + DataFrameCaches.clearGlobalTrashDataFrames() } def end: Try[_] = Try { TableRegisters.unregisterRunGlobalTables(sqlContext) TableRegisters.unregisterCompileGlobalTables + DataFrameCaches.uncacheGlobalDataFrames() + DataFrameCaches.clearGlobalTrashDataFrames() + sparkContext.stop } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala index f87166a71..52f5bb6cf 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala @@ -27,7 +27,7 @@ import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.data.source.DataSourceFactory import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngineFactory -import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.RuleAdaptorGroup import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.rule.udf.GriffinUdfs @@ -145,6 +145,9 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { TableRegisters.unregisterCompileGlobalTables() TableRegisters.unregisterRunGlobalTables(sqlContext) + DataFrameCaches.uncacheGlobalDataFrames() + DataFrameCaches.clearGlobalTrashDataFrames() + sparkContext.stop InfoCacheInstance.close diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 3e5e56991..6676d3cae 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -28,7 +28,7 @@ import org.apache.griffin.measure.data.source.DataSource import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngines -import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.step.{CalcTimeInfo, TimeInfo} import org.apache.spark.sql.SQLContext @@ -156,6 +156,10 @@ case class StreamingDqThread(sqlContext: SQLContext, TableRegisters.unregisterRunTempTables(sqlContext, timeInfo.key) TableRegisters.unregisterCompileTempTables(timeInfo.key) + DataFrameCaches.uncacheDataFrames(timeInfo.key) + DataFrameCaches.clearTrashDataFrames(timeInfo.key) + DataFrameCaches.clearGlobalTrashDataFrames() + val cleanTime = TimeInfoCache.getCleanTime CacheResultProcesser.refresh(cleanTime) } catch { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index 64aef9df2..9e9e2b927 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -24,7 +24,7 @@ import org.apache.griffin.measure.cache.result.CacheResultProcesser import org.apache.griffin.measure.config.params.user.DataSourceParam import org.apache.griffin.measure.data.source.{DataSource, DataSourceFactory} import org.apache.griffin.measure.persist.{Persist, PersistFactory} -import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.result.AccuracyResult import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ @@ -43,14 +43,15 @@ case class DataFrameOprEngine(sqlContext: SQLContext) extends SparkDqEngine { def runRuleStep(timeInfo: TimeInfo, ruleStep: RuleStep): Boolean = { ruleStep match { - case DfOprStep(name, rule, details) => { + case rs @ DfOprStep(name, rule, details, _, _) => { try { val df = rule match { case DataFrameOprs._fromJson => DataFrameOprs.fromJson(sqlContext, details) + case DataFrameOprs._accuracy => DataFrameOprs.accuracy(sqlContext, timeInfo, details) case DataFrameOprs._clear => DataFrameOprs.clear(sqlContext, details) case _ => throw new Exception(s"df opr [ ${rule} ] not supported") } - df.cache + if (rs.needCache) DataFrameCaches.cacheDataFrame(timeInfo.key, name, df) TableRegisters.registerRunTempTable(df, timeInfo.key, name) true } catch { @@ -72,6 +73,13 @@ object DataFrameOprs { final val _accuracy = "accuracy" final val _clear = "clear" + object AccuracyOprKeys { + val _dfName = "df.name" + val _miss = "miss" + val _total = "total" + val _matched = "matched" + } + def fromJson(sqlContext: SQLContext, details: Map[String, Any]): DataFrame = { val _dfName = "df.name" val _colName = "col.name" @@ -86,87 +94,69 @@ object DataFrameOprs { sqlContext.read.json(rdd) // slow process } -// def accuracy(sqlContext: SQLContext, timeInfo: TimeInfo, details: Map[String, Any]): DataFrame = { -// val _dfName = "df.name" -// val _miss = "miss" -// val _total = "total" -// val _matched = "matched" -// -// val dfName = details.getStringOrKey(_dfName) -// val miss = details.getStringOrKey(_miss) -// val total = details.getStringOrKey(_total) -// val matched = details.getStringOrKey(_matched) -// + def accuracy(sqlContext: SQLContext, timeInfo: TimeInfo, details: Map[String, Any]): DataFrame = { + import AccuracyOprKeys._ + + val dfName = details.getStringOrKey(_dfName) + val miss = details.getStringOrKey(_miss) + val total = details.getStringOrKey(_total) + val matched = details.getStringOrKey(_matched) + // val _enableIgnoreCache = "enable.ignore.cache" // val enableIgnoreCache = details.getBoolean(_enableIgnoreCache, false) -// + // val tmst = InternalColumns.tmst -// -// val updateTime = new Date().getTime -// -// def getLong(r: Row, k: String): Long = { -// try { -// r.getAs[Long](k) -// } catch { -// case e: Throwable => 0L -// } -// } -// -// val df = sqlContext.table(s"`${dfName}`") -// df.show(10) -// val results = df.flatMap { row => -// try { -// val missCount = getLong(row, miss) -// val totalCount = getLong(row, total) -// val ar = AccuracyResult(missCount, totalCount) -// if (ar.isLegal) Some((timeInfo.tmst, ar)) else None -// } catch { -// case e: Throwable => None -// } -// }.collect -// -// val updateResults = results.flatMap { pair => -// val (t, result) = pair -// val updatedCacheResultOpt = CacheResultProcesser.genUpdateCacheResult(t, updateTime, result) -// updatedCacheResultOpt -// } -// -// // update results -// updateResults.foreach { r => -// CacheResultProcesser.update(r) -// } -// -// // generate metrics -// val schema = if (enableIgnoreCache) { -// StructType(Array( -// StructField(miss, LongType), -// StructField(total, LongType), -// StructField(matched, LongType), -// StructField(InternalColumns.ignoreCache, BooleanType) -// )) -// } else { -// StructType(Array( -//// StructField(tmst, LongType), -// StructField(miss, LongType), -// StructField(total, LongType), -// StructField(matched, LongType) -// )) -// } -// val rows = if (enableIgnoreCache) { -// updateResults.map { r => -// val ar = r.result.asInstanceOf[AccuracyResult] -// Row(ar.miss, ar.total, ar.getMatch, ar.initial) -// } -// } else { -// updateResults.map { r => -// val ar = r.result.asInstanceOf[AccuracyResult] -// Row(ar.miss, ar.total, ar.getMatch) -// } -// } -// val rowRdd = sqlContext.sparkContext.parallelize(rows) -// sqlContext.createDataFrame(rowRdd, schema) -// -// } + + val updateTime = new Date().getTime + + def getLong(r: Row, k: String): Option[Long] = { + try { + Some(r.getAs[Long](k)) + } catch { + case e: Throwable => None + } + } + + val df = sqlContext.table(s"`${dfName}`") + val results = df.flatMap { row => + try { + val tmst = getLong(row, InternalColumns.tmst).getOrElse(timeInfo.calcTime) + val missCount = getLong(row, miss).getOrElse(0L) + val totalCount = getLong(row, total).getOrElse(0L) + val ar = AccuracyResult(missCount, totalCount) + if (ar.isLegal) Some((tmst, ar)) else None + } catch { + case e: Throwable => None + } + }.collect + + val updateResults = results.flatMap { pair => + val (t, result) = pair + val updatedCacheResultOpt = CacheResultProcesser.genUpdateCacheResult(t, updateTime, result) + updatedCacheResultOpt + } + + // update results + updateResults.foreach { r => + CacheResultProcesser.update(r) + } + + // generate metrics + val schema = StructType(Array( + StructField(InternalColumns.tmst, LongType), + StructField(miss, LongType), + StructField(total, LongType), + StructField(matched, LongType), + StructField(InternalColumns.record, BooleanType) + )) + val rows = updateResults.map { r => + val ar = r.result.asInstanceOf[AccuracyResult] + Row(r.timeGroup, ar.miss, ar.total, ar.getMatch, !ar.initial) + } + val rowRdd = sqlContext.sparkContext.parallelize(rows) + sqlContext.createDataFrame(rowRdd, schema) + + } def clear(sqlContext: SQLContext, details: Map[String, Any]): DataFrame = { val _dfName = "df.name" diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index a82c03229..a8dfa06d2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -23,7 +23,7 @@ import java.util.Date import org.apache.griffin.measure.config.params.user.DataSourceParam import org.apache.griffin.measure.data.source._ import org.apache.griffin.measure.persist.{Persist, PersistFactory} -import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.{GlobalKeys, InternalColumns} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan._ @@ -39,19 +39,20 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { def runRuleStep(timeInfo: TimeInfo, ruleStep: RuleStep): Boolean = { ruleStep match { - case SparkSqlStep(name, rule, details, global) => { + case rs @ SparkSqlStep(name, rule, details, _, _) => { try { - val rdf = if (global && !TableRegisters.existRunGlobalTable(name)) { + val rdf = if (rs.isGlobal && !TableRegisters.existRunGlobalTable(name)) { details.get(GlobalKeys._initRule) match { case Some(initRule: String) => sqlContext.sql(initRule) case _ => sqlContext.emptyDataFrame } } else sqlContext.sql(rule) - rdf.cache - if (global) { + if (rs.isGlobal) { + if (rs.needCache) DataFrameCaches.cacheGlobalDataFrame(name, rdf) TableRegisters.registerRunGlobalTable(rdf, name) } else { + if (rs.needCache) DataFrameCaches.cacheDataFrame(timeInfo.key, name, rdf) TableRegisters.registerRunTempTable(rdf, timeInfo.key, name) } true diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala new file mode 100644 index 000000000..50c5cf401 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala @@ -0,0 +1,107 @@ +package org.apache.griffin.measure.process.temp + +import org.apache.griffin.measure.log.Loggable +import org.apache.spark.sql.DataFrame + +import scala.collection.concurrent.{TrieMap, Map => ConcMap} + +object DataFrameCaches extends Loggable { + + final val _global = "_global" + + private val caches: ConcMap[String, Map[String, DataFrame]] = TrieMap[String, Map[String, DataFrame]]() + private val trashCaches: ConcMap[String, Seq[DataFrame]] = TrieMap[String, Seq[DataFrame]]() + + private def trashDataFrame(key: String, df: DataFrame): Unit = { + trashCaches.get(key) match { + case Some(seq) => { + val suc = trashCaches.replace(key, seq, seq :+ df) + if (!suc) trashDataFrame(key, df) + } + case _ => { + val oldOpt = trashCaches.putIfAbsent(key, Seq[DataFrame](df)) + if (oldOpt.nonEmpty) trashDataFrame(key, df) + } + } + } + private def trashDataFrames(key: String, dfs: Seq[DataFrame]): Unit = { + trashCaches.get(key) match { + case Some(seq) => { + val suc = trashCaches.replace(key, seq, seq ++ dfs) + if (!suc) trashDataFrames(key, dfs) + } + case _ => { + val oldOpt = trashCaches.putIfAbsent(key, dfs) + if (oldOpt.nonEmpty) trashDataFrames(key, dfs) + } + } + } + + def cacheDataFrame(key: String, name: String, df: DataFrame): Unit = { + caches.get(key) match { + case Some(mp) => { + mp.get(name) match { + case Some(odf) => { + val suc = caches.replace(key, mp, mp + (name -> df)) + if (suc) { + df.cache + trashDataFrame(key, odf) + } else { + cacheDataFrame(key, name, df) + } + } + case _ => { + val suc = caches.replace(key, mp, mp + (name -> df)) + if (suc) { + df.cache + } else { + cacheDataFrame(key, name, df) + } + } + } + } + case _ => { + val oldOpt = caches.putIfAbsent(key, Map[String, DataFrame]((name -> df))) + if (oldOpt.nonEmpty) cacheDataFrame(key, name, df) + } + } + } + def cacheGlobalDataFrame(name: String, df: DataFrame): Unit = { + cacheDataFrame(_global, name, df) + } + + def uncacheDataFrames(key: String): Unit = { + caches.remove(key) match { + case Some(mp) => { + trashDataFrames(key, mp.values.toSeq) + } + case _ => {} + } + } + def uncacheGlobalDataFrames(): Unit = { + uncacheDataFrames(_global) + } + + def clearTrashDataFrames(key: String): Unit = { + trashCaches.remove(key) match { + case Some(seq) => seq.foreach(_.unpersist) + case _ => {} + } + } + def clearGlobalTrashDataFrames(): Unit = { + clearTrashDataFrames(_global) + } + + def getDataFrames(key: String): Map[String, DataFrame] = { + caches.get(key) match { + case Some(mp) => mp + case _ => Map[String, DataFrame]() + } + } + def getGlobalDataFrames(): Map[String, DataFrame] = { + getDataFrames(_global) + } + + + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index b51050013..889e1cd2d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -19,8 +19,9 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} +import org.apache.griffin.measure.process.engine.DataFrameOprs.AccuracyOprKeys import org.apache.griffin.measure.process.temp.TableRegisters -import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} +import org.apache.griffin.measure.process._ import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.dsl.analyzer._ import org.apache.griffin.measure.rule.dsl.expr._ @@ -89,6 +90,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } + // with accuracy opr private def accuracyRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, param: Map[String, Any], processType: ProcessType ): RulePlan = { @@ -116,7 +118,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" } - val missRecordsStep = SparkSqlStep(missRecordsTableName, missRecordsSql, emptyMap) + val missRecordsStep = SparkSqlStep(missRecordsTableName, missRecordsSql, emptyMap, true) val missRecordsExports = processType match { case BatchProcessType => { val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) @@ -184,47 +186,26 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val streamingAccuPlan = processType match { case BatchProcessType => emptyRulePlan case StreamingProcessType => { - // 5. global accuracy metric merge - val globalAccuracyTableName = "__globalAccuracy" - val globalAccuracySql = { - s""" - |SELECT coalesce(`${globalAccuracyTableName}`.`${InternalColumns.tmst}`, `${accuracyTableName}`.`${InternalColumns.tmst}`) AS `${InternalColumns.tmst}`, - |coalesce(`${accuracyTableName}`.`${missColName}`, `${globalAccuracyTableName}`.`${missColName}`) AS `${missColName}`, - |coalesce(`${globalAccuracyTableName}`.`${totalColName}`, `${accuracyTableName}`.`${totalColName}`) AS `${totalColName}`, - |((`${accuracyTableName}`.`${missColName}` IS NOT NULL) AND ((`${globalAccuracyTableName}`.`${missColName}` IS NULL) OR (`${accuracyTableName}`.`${missColName}` < `${globalAccuracyTableName}`.`${missColName}`))) AS `${InternalColumns.metric}` - |FROM `${globalAccuracyTableName}` FULL JOIN `${accuracyTableName}` - |ON `${globalAccuracyTableName}`.`${InternalColumns.tmst}` = `${accuracyTableName}`.`${InternalColumns.tmst}` - """.stripMargin - } - val globalAccuracyInitSql = { - s""" - |SELECT `${InternalColumns.tmst}`, `${totalColName}`, `${missColName}`, - |(true) AS `${InternalColumns.metric}` - |FROM `${accuracyTableName}` - """.stripMargin - } - val globalAccuracyDetails = Map[String, Any](GlobalKeys._initRule -> globalAccuracyInitSql) - val globalAccuracyStep = SparkSqlStep(globalAccuracyTableName, globalAccuracySql, globalAccuracyDetails, true) - - // 6. collect accuracy metrics - val accuracyMetricTableName = name - val accuracyMetricSql = { - s""" - |SELECT `${InternalColumns.tmst}`, `${totalColName}`, `${missColName}`, - |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` - |FROM `${globalAccuracyTableName}` WHERE `${InternalColumns.metric}` - """.stripMargin - } - val accuracyMetricStep = SparkSqlStep(accuracyMetricTableName, accuracyMetricSql, emptyMap) + // 5. accuracy metric merge + val accuracyMetricTableName = "__accuracy" + val accuracyMetricRule = "accuracy" + val accuracyMetricDetails = Map[String, Any]( + (AccuracyOprKeys._dfName -> accuracyTableName), + (AccuracyOprKeys._miss -> missColName), + (AccuracyOprKeys._total -> totalColName), + (AccuracyOprKeys._matched -> matchedColName) + ) + val accuracyMetricStep = DfOprStep(accuracyMetricTableName, + accuracyMetricRule, accuracyMetricDetails) val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val accuracyMetricExports = genMetricExport(metricParam, accuracyMetricTableName, accuracyMetricTableName) :: Nil + val accuracyMetricExports = genMetricExport(metricParam, name, accuracyMetricTableName) :: Nil - // 7. collect accuracy records + // 6. collect accuracy records val accuracyRecordTableName = "__accuracyRecords" val accuracyRecordSql = { s""" |SELECT `${InternalColumns.tmst}` - |FROM `${accuracyMetricTableName}` WHERE `${matchedColName}` > 0 + |FROM `${accuracyMetricTableName}` WHERE `${InternalColumns.record}` """.stripMargin } val accuracyRecordStep = SparkSqlStep(accuracyRecordTableName, accuracyRecordSql, emptyMap) @@ -234,27 +215,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuracyRecordExports = genRecordExport( accuracyRecordParam, missRecordsTableName, accuracyRecordTableName) :: Nil - // 8. update global accuracy metric - val updateGlobalAccuracyTableName = globalAccuracyTableName - val globalMetricKeepTime = details.getString(GlobalKeys._globalMetricKeep, "") - val updateGlobalAccuracySql = TimeUtil.milliseconds(globalMetricKeepTime) match { - case Some(kt) => { - s""" - |SELECT * FROM `${globalAccuracyTableName}` - |WHERE (`${missColName}` > 0) AND (`${InternalColumns.tmst}` > ${timeInfo.calcTime - kt}) - """.stripMargin - } - case _ => { - s""" - |SELECT * FROM `${globalAccuracyTableName}` - |WHERE (`${missColName}` > 0) - """.stripMargin - } - } - val updateGlobalAccuracyStep = SparkSqlStep(updateGlobalAccuracyTableName, updateGlobalAccuracySql, emptyMap, true) - // gen accu plan - val extraSteps = globalAccuracyStep :: accuracyMetricStep :: accuracyRecordStep :: updateGlobalAccuracyStep :: Nil + val extraSteps = accuracyMetricStep :: accuracyRecordStep :: Nil val extraExports = accuracyMetricExports ++ accuracyRecordExports val extraPlan = RulePlan(extraSteps, extraExports) @@ -268,6 +230,187 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } +// private def accuracyRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, +// param: Map[String, Any], processType: ProcessType +// ): RulePlan = { +// val details = getDetails(param) +// val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) +// val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) +// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) +// +// if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { +// emptyRulePlan +// } else { +// // 1. miss record +// val missRecordsTableName = "__missRecords" +// val selClause = s"`${sourceName}`.*" +// val missRecordsSql = if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { +// s"SELECT ${selClause} FROM `${sourceName}`" +// } else { +// val onClause = expr.coalesceDesc +// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val targetIsNull = analyzer.targetSelectionExprs.map { sel => +// s"${sel.desc} IS NULL" +// }.mkString(" AND ") +// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" +// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" +// } +// val missRecordsStep = SparkSqlStep(missRecordsTableName, missRecordsSql, emptyMap, true) +// val missRecordsExports = processType match { +// case BatchProcessType => { +// val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) +// genRecordExport(recordParam, missRecordsTableName, missRecordsTableName) :: Nil +// } +// case StreamingProcessType => Nil +// } +// +// // 2. miss count +// val missCountTableName = "__missCount" +// val missColName = details.getStringOrKey(AccuracyKeys._miss) +// val missCountSql = processType match { +// case BatchProcessType => s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}`" +// case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}` GROUP BY `${InternalColumns.tmst}`" +// } +// val missCountStep = SparkSqlStep(missCountTableName, missCountSql, emptyMap) +// +// // 3. total count +// val totalCountTableName = "__totalCount" +// val totalColName = details.getStringOrKey(AccuracyKeys._total) +// val totalCountSql = processType match { +// case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" +// case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}`" +// } +// val totalCountStep = SparkSqlStep(totalCountTableName, totalCountSql, emptyMap) +// +// // 4. accuracy metric +// val accuracyTableName = name +// val matchedColName = details.getStringOrKey(AccuracyKeys._matched) +// val accuracyMetricSql = processType match { +// case BatchProcessType => { +// s""" +// |SELECT `${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, +// |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, +// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` +// |FROM `${totalCountTableName}` FULL JOIN `${missCountTableName}` +// """.stripMargin +// } +// case StreamingProcessType => { +// s""" +// |SELECT `${totalCountTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, +// |`${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, +// |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, +// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` +// |FROM `${totalCountTableName}` FULL JOIN `${missCountTableName}` +// |ON `${totalCountTableName}`.`${InternalColumns.tmst}` = `${missCountTableName}`.`${InternalColumns.tmst}` +// """.stripMargin +// } +// } +// val accuracyStep = SparkSqlStep(accuracyTableName, accuracyMetricSql, emptyMap, true) +// val accuracyExports = processType match { +// case BatchProcessType => { +// val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) +// genMetricExport(metricParam, accuracyTableName, accuracyTableName) :: Nil +// } +// case StreamingProcessType => Nil +// } +// +// // current accu plan +// val accuSteps = missRecordsStep :: missCountStep :: totalCountStep :: accuracyStep :: Nil +// val accuExports = missRecordsExports ++ accuracyExports +// val accuPlan = RulePlan(accuSteps, accuExports) +// +// // streaming extra accu plan +// val streamingAccuPlan = processType match { +// case BatchProcessType => emptyRulePlan +// case StreamingProcessType => { +// // 5. global accuracy metric merge +// val globalAccuracyTableName = "__globalAccuracy" +// val globalAccuracySql = { +// s""" +// |SELECT coalesce(`${globalAccuracyTableName}`.`${InternalColumns.tmst}`, `${accuracyTableName}`.`${InternalColumns.tmst}`) AS `${InternalColumns.tmst}`, +// |coalesce(`${accuracyTableName}`.`${missColName}`, `${globalAccuracyTableName}`.`${missColName}`) AS `${missColName}`, +// |coalesce(`${globalAccuracyTableName}`.`${totalColName}`, `${accuracyTableName}`.`${totalColName}`) AS `${totalColName}`, +// |((`${accuracyTableName}`.`${missColName}` IS NOT NULL) AND ((`${globalAccuracyTableName}`.`${missColName}` IS NULL) OR (`${accuracyTableName}`.`${missColName}` < `${globalAccuracyTableName}`.`${missColName}`))) AS `${InternalColumns.metric}` +// |FROM `${globalAccuracyTableName}` FULL JOIN `${accuracyTableName}` +// |ON `${globalAccuracyTableName}`.`${InternalColumns.tmst}` = `${accuracyTableName}`.`${InternalColumns.tmst}` +// """.stripMargin +// } +// val globalAccuracyInitSql = { +// s""" +// |SELECT `${InternalColumns.tmst}`, `${totalColName}`, `${missColName}`, +// |(true) AS `${InternalColumns.metric}` +// |FROM `${accuracyTableName}` +// """.stripMargin +// } +// val globalAccuracyDetails = Map[String, Any](GlobalKeys._initRule -> globalAccuracyInitSql) +// val globalAccuracyStep = SparkSqlStep(globalAccuracyTableName, +// globalAccuracySql, globalAccuracyDetails, true, true) +// +// // 6. collect accuracy metrics +// val accuracyMetricTableName = name +// val accuracyMetricSql = { +// s""" +// |SELECT `${InternalColumns.tmst}`, `${totalColName}`, `${missColName}`, +// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` +// |FROM `${globalAccuracyTableName}` WHERE `${InternalColumns.metric}` +// """.stripMargin +// } +// val accuracyMetricStep = SparkSqlStep(accuracyMetricTableName, accuracyMetricSql, emptyMap) +// val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) +// val accuracyMetricExports = genMetricExport(metricParam, accuracyMetricTableName, accuracyMetricTableName) :: Nil +// +// // 7. collect accuracy records +// val accuracyRecordTableName = "__accuracyRecords" +// val accuracyRecordSql = { +// s""" +// |SELECT `${InternalColumns.tmst}` +// |FROM `${accuracyMetricTableName}` WHERE `${matchedColName}` > 0 +// """.stripMargin +// } +// val accuracyRecordStep = SparkSqlStep(accuracyRecordTableName, accuracyRecordSql, emptyMap) +// val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) +// val accuracyRecordParam = recordParam.addIfNotExist(ExportParamKeys._dataSourceCache, sourceName) +// .addIfNotExist(ExportParamKeys._originDF, missRecordsTableName) +// val accuracyRecordExports = genRecordExport( +// accuracyRecordParam, missRecordsTableName, accuracyRecordTableName) :: Nil +// +// // 8. update global accuracy metric +// val updateGlobalAccuracyTableName = globalAccuracyTableName +// val globalMetricKeepTime = details.getString(GlobalKeys._globalMetricKeep, "") +// val updateGlobalAccuracySql = TimeUtil.milliseconds(globalMetricKeepTime) match { +// case Some(kt) => { +// s""" +// |SELECT * FROM `${globalAccuracyTableName}` +// |WHERE (`${missColName}` > 0) AND (`${InternalColumns.tmst}` > ${timeInfo.calcTime - kt}) +// """.stripMargin +// } +// case _ => { +// s""" +// |SELECT * FROM `${globalAccuracyTableName}` +// |WHERE (`${missColName}` > 0) +// """.stripMargin +// } +// } +// val updateGlobalAccuracyStep = SparkSqlStep(updateGlobalAccuracyTableName, +// updateGlobalAccuracySql, emptyMap, true, true) +// +// // gen accu plan +// val extraSteps = globalAccuracyStep :: accuracyMetricStep :: accuracyRecordStep :: updateGlobalAccuracyStep :: Nil +// val extraExports = accuracyMetricExports ++ accuracyRecordExports +// val extraPlan = RulePlan(extraSteps, extraExports) +// +// extraPlan +// } +// } +// +// // return accu plan +// accuPlan.merge(streamingAccuPlan) +// +// } +// } + private def profilingRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, param: Map[String, Any], processType: ProcessType ): RulePlan = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala index 0b08a1f8f..00ba853c2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala @@ -21,9 +21,9 @@ package org.apache.griffin.measure.rule.adaptor object InternalColumns { val tmst = "__tmst" val metric = "__metric" -// val record = "__record" + val record = "__record" // val ignoreCache = "__ignoreCache" - val columns = List[String](tmst, metric) + val columns = List[String](tmst, metric, record) // val columns = List[String](tmst, ignoreCache) } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DfOprStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DfOprStep.scala index 2f70b81d5..f0afc6cb4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DfOprStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DfOprStep.scala @@ -22,11 +22,11 @@ import org.apache.griffin.measure.rule.dsl._ case class DfOprStep(name: String, rule: String, - details: Map[String, Any] + details: Map[String, Any], + cache: Boolean = false, + global: Boolean = false ) extends RuleStep { val dslType: DslType = DfOprType - val global: Boolean = false - } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleStep.scala index e208cf8f0..dbdb2d50e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleStep.scala @@ -28,8 +28,13 @@ trait RuleStep extends Serializable { val rule: String + val cache: Boolean + val global: Boolean val details: Map[String, Any] + def needCache: Boolean = cache || global + + def isGlobal: Boolean = global } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/SparkSqlStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/SparkSqlStep.scala index 7c58450b1..16da9a58e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/SparkSqlStep.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/SparkSqlStep.scala @@ -23,6 +23,7 @@ import org.apache.griffin.measure.rule.dsl._ case class SparkSqlStep(name: String, rule: String, details: Map[String, Any], + cache: Boolean = false, global: Boolean = false ) extends RuleStep { diff --git a/measure/src/test/resources/_accuracy-streaming-sparksql.json b/measure/src/test/resources/_accuracy-streaming-sparksql.json index 353978f78..946fb6ba0 100644 --- a/measure/src/test/resources/_accuracy-streaming-sparksql.json +++ b/measure/src/test/resources/_accuracy-streaming-sparksql.json @@ -95,6 +95,7 @@ { "dsl.type": "spark-sql", "name": "missRecords", + "cache": true, "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.name, '') = coalesce(target.name, '') AND coalesce(source.age, '') = coalesce(target.age, '') WHERE (NOT (source.name IS NULL AND source.age IS NULL)) AND (target.name IS NULL AND target.age IS NULL)" }, { @@ -110,6 +111,7 @@ { "dsl.type": "spark-sql", "name": "accu", + "cache": true, "rule": "SELECT `total_count`.`__tmst` AS `__tmst`, `total_count`.`total` AS `total`, coalesce(`miss_count`.`miss`, 0) AS `miss` FROM `total_count` FULL JOIN `miss_count` ON `total_count`.`__tmst` = `miss_count`.`__tmst`" }, { From 54ee18587d8083e5266758855342dbd857da9858 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 29 Dec 2017 14:04:25 +0800 Subject: [PATCH 081/177] add accuracy streaming spark sql config json --- .../_accuracy-streaming-sparksql2.json | 142 ++++++++++++++++++ 1 file changed, 142 insertions(+) create mode 100644 measure/src/test/resources/_accuracy-streaming-sparksql2.json diff --git a/measure/src/test/resources/_accuracy-streaming-sparksql2.json b/measure/src/test/resources/_accuracy-streaming-sparksql2.json new file mode 100644 index 000000000..d9edbc168 --- /dev/null +++ b/measure/src/test/resources/_accuracy-streaming-sparksql2.json @@ -0,0 +1,142 @@ +{ + "name": "accu_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + }, { + "name": "target", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "ttt", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${t1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${t1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/target", + "info.path": "target", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "missRecords", + "cache": true, + "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.name, '') = coalesce(target.name, '') AND coalesce(source.age, '') = coalesce(target.age, '') WHERE (NOT (source.name IS NULL AND source.age IS NULL)) AND (target.name IS NULL AND target.age IS NULL)" + }, + { + "dsl.type": "spark-sql", + "name": "miss_count", + "rule": "SELECT `__tmst`, count(*) as miss FROM `missRecords` GROUP BY `__tmst`" + }, + { + "dsl.type": "spark-sql", + "name": "total_count", + "rule": "SELECT `__tmst`, count(*) as total FROM source GROUP BY `__tmst`" + }, + { + "dsl.type": "spark-sql", + "name": "accu", + "rule": "SELECT `total_count`.`__tmst` AS `__tmst`, `total_count`.`total` AS `total`, coalesce(`miss_count`.`miss`, 0) AS `miss` FROM `total_count` FULL JOIN `miss_count` ON `total_count`.`__tmst` = `miss_count`.`__tmst`" + }, + { + "dsl.type": "df-opr", + "name": "metric_accu", + "rule": "accuracy", + "details": { + "df.name": "accu", + "miss": "miss", + "total": "total", + "matched": "matched" + }, + "metric": { + "name": "accuracy" + } + }, + { + "dsl.type": "spark-sql", + "name": "accu_miss_records", + "rule": "SELECT `__tmst` FROM `metric_accu` WHERE `__record`", + "record": { + "name": "missRecords", + "data.source.cache": "source", + "origin.DF": "missRecords" + } + } + ] + } +} \ No newline at end of file From ce20f44b162cee9077d655732ae2091d57deeac1 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 29 Dec 2017 22:03:55 +0800 Subject: [PATCH 082/177] refactor --- .gitignore | 2 +- .../griffin/measure/cache/tmst/TempName.scala | 30 ++++---- .../data/connector/DataConnector.scala | 2 +- .../measure/data/source/DataSource.scala | 35 +--------- .../measure/process/BatchDqProcess.scala | 2 +- .../measure/process/StreamingDqProcess.scala | 2 +- .../measure/process/StreamingDqThread.scala | 2 +- .../process/engine/DataFrameOprEngine.scala | 1 - .../measure/process/engine/DqEngine.scala | 3 +- .../measure/process/engine/DqEngines.scala | 3 +- .../process/engine/SparkDqEngine.scala | 1 - .../process/engine/SparkSqlEngine.scala | 1 - .../rule/adaptor/DataFrameOprAdaptor.scala | 3 +- .../rule/adaptor/GriffinDslAdaptor.scala | 3 +- .../measure/rule/adaptor/RuleAdaptor.scala | 3 +- .../rule/adaptor/RuleAdaptorGroup.scala | 3 +- .../rule/adaptor/SparkSqlAdaptor.scala | 3 +- .../rule/{step => plan}/TimeInfo.scala | 12 ++-- .../measure/rule/step/ConcreteRuleStep.scala | 45 ------------ .../griffin/measure/rule/step/DfOprStep.scala | 27 -------- .../measure/rule/step/GriffinDslStep.scala | 28 -------- .../griffin/measure/rule/step/RuleInfo.scala | 69 ------------------- .../griffin/measure/rule/step/RuleStep.scala | 45 ------------ .../measure/rule/step/SparkSqlStep.scala | 28 -------- .../rule/adaptor/GriffinDslAdaptorTest.scala | 2 +- .../rule/adaptor/RuleAdaptorGroupTest.scala | 2 +- .../rule/adaptor/SparkSqlAdaptorTest.scala | 2 +- .../rule/dsl/parser/BasicParserTest.scala | 32 ++++----- 28 files changed, 55 insertions(+), 336 deletions(-) rename measure/src/main/scala/org/apache/griffin/measure/rule/{step => plan}/TimeInfo.scala (80%) delete mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/step/ConcreteRuleStep.scala delete mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/step/DfOprStep.scala delete mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/step/GriffinDslStep.scala delete mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala delete mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala delete mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/step/SparkSqlStep.scala diff --git a/.gitignore b/.gitignore index 9de233118..58525d984 100644 --- a/.gitignore +++ b/.gitignore @@ -37,4 +37,4 @@ ui/tmp derby.log metastore_db -measure/src/test/scala/org/apache/griffin/measure/process/*ProcessTest.scala +measure/src/test/test_scala/* diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala index fe623f471..7a570ec95 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/tmst/TempName.scala @@ -19,7 +19,7 @@ under the License. package org.apache.griffin.measure.cache.tmst import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.plan.TimeInfo object TempName extends Loggable { @@ -29,19 +29,19 @@ object TempName extends Loggable { //-- temp df name -- // private val tmstNameRegex = """^(.*)\((\d*)\)\[(\d*)\]$""".r - private val tmstNameRegex = """^(.*)_(\d*)_(\d*)$""".r - def tmstName(name: String, timeInfo: TimeInfo) = { - val calcTime = timeInfo.calcTime - val tmst = timeInfo.tmst - s"${name}_${calcTime}_${tmst}" - } - def extractTmstName(tmstName: String): (String, Option[Long], Option[Long]) = { - tmstName match { - case tmstNameRegex(name, calcTime, tmst) => { - try { (name, Some(calcTime.toLong), Some(tmst.toLong)) } catch { case e: Throwable => (tmstName, None, None) } - } - case _ => (tmstName, None, None) - } - } +// private val tmstNameRegex = """^(.*)_(\d*)_(\d*)$""".r +// def tmstName(name: String, timeInfo: TimeInfo) = { +// val calcTime = timeInfo.calcTime +// val tmst = timeInfo.tmst +// s"${name}_${calcTime}_${tmst}" +// } +// def extractTmstName(tmstName: String): (String, Option[Long], Option[Long]) = { +// tmstName match { +// case tmstNameRegex(name, calcTime, tmst) => { +// try { (name, Some(calcTime.toLong), Some(tmst.toLong)) } catch { case e: Throwable => (tmstName, None, None) } +// } +// case _ => (tmstName, None, None) +// } +// } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 3af8ea3ee..6fafebff9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -28,8 +28,8 @@ import org.apache.griffin.measure.process.engine._ import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.{InternalColumns, PreProcPhase, RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.dsl._ +import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.rule.preproc.PreProcRuleGenerator -import org.apache.griffin.measure.rule.step.{CalcTimeInfo, TimeInfo} import org.apache.spark.rdd.RDD import org.apache.spark.sql.functions._ import org.apache.spark.sql.{DataFrame, SQLContext} diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index c322170fe..bd080ce56 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -24,7 +24,7 @@ import org.apache.griffin.measure.data.connector.batch._ import org.apache.griffin.measure.data.connector.streaming._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.temp.TableRegisters -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.plan.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row, SQLContext} @@ -51,41 +51,20 @@ case class DataSource(sqlContext: SQLContext, def loadData(timeInfo: TimeInfo): Set[Long] = { val calcTime = timeInfo.calcTime - val tmstName = TempName.tmstName(name, calcTime) - println(s"load data [${name}] (${tmstName})") + println(s"load data [${name}]") val (dfOpt, tmsts) = data(calcTime) dfOpt match { case Some(df) => { TableRegisters.registerRunTempTable(df, timeInfo.key, name) - TableRegisters.registerRunTempTable(df, timeInfo.key, tmstName) } case None => { -// val df = sqlContext.emptyDataFrame -// df.registerTempTable(name) -// warn(s"load data source [${name}] fails") - warn(s"load data source [${name}] (${tmstName}) fails") -// throw new Exception(s"load data source [${name}] fails") + warn(s"load data source [${name}] fails") } } tmsts } -// def dropTable(ms: Long): Unit = { -// val tmstName = TempName.tmstName(name, ms) -// try { -// sqlContext.dropTempTable(s"`${tmstName}`") -// } catch { -// case e: Throwable => warn(s"drop table [${name}] (${tmstName}) fails") -// } -// } - private def data(ms: Long): (Option[DataFrame], Set[Long]) = { -// val batchPairs = batchDataConnectors.map(_.data(ms)) -// println(batchPairs.size) -// val (batchDataFrameOpt, batchTmsts) = (None, Set.empty[Long]) -// val (batchDataFrameOpt, batchTmsts) = batchDataConnectors.map(_.data(ms)).reduce( (a, b) => -// (unionDfOpts(a._1, b._1), a._2 ++ b._2) -// ) val batches = batchDataConnectors.flatMap { dc => val (dfOpt, tmsts) = dc.data(ms) dfOpt match { @@ -106,14 +85,6 @@ case class DataSource(sqlContext: SQLContext, } else { (None, Set.empty[Long]) } - -// val (cacheDataFrameOpt, cacheTmsts) = dataSourceCacheOpt match { -// case Some(dsc) => dsc.readData() -// case _ => (None, Set.empty[Long]) -// } -// println("go") - -// (unionDfOpts(batchDataFrameOpt, cacheDataFrameOpt), batchTmsts ++ cacheTmsts) } private def unionDfOpts(dfOpt1: Option[DataFrame], dfOpt2: Option[DataFrame] diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 83753845c..7ed4717ba 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -30,7 +30,7 @@ import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.{DqEngineFactory, SparkSqlEngine} import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} -import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.rule.udf.GriffinUdfs import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.sql.SQLContext diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala index 52f5bb6cf..1cc2ab74b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala @@ -29,7 +29,7 @@ import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngineFactory import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.RuleAdaptorGroup -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.plan.TimeInfo import org.apache.griffin.measure.rule.udf.GriffinUdfs import org.apache.griffin.measure.utils.TimeUtil import org.apache.spark.sql.SQLContext diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 6676d3cae..39444cd16 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -30,7 +30,7 @@ import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngines import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} -import org.apache.griffin.measure.rule.step.{CalcTimeInfo, TimeInfo} +import org.apache.griffin.measure.rule.plan._ import org.apache.spark.sql.SQLContext case class StreamingDqThread(sqlContext: SQLContext, diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index 9e9e2b927..b06ee326f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -29,7 +29,6 @@ import org.apache.griffin.measure.result.AccuracyResult import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan._ -import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD import org.apache.spark.sql.types._ diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index 1f625dbd3..8f48b15ae 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -24,8 +24,7 @@ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.ProcessType import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.plan._ -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.plan.{TimeInfo, _} import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row} diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index bd781796b..71c3cfa8e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -27,8 +27,7 @@ import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.plan.{MetricExport, RecordExport, RuleExport, RuleStep} -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row} diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index e08deaa2a..572af970d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -24,7 +24,6 @@ import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, Stream import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan._ -import org.apache.griffin.measure.rule.step._ import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row, SQLContext} diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index a8dfa06d2..9de795559 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -27,7 +27,6 @@ import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.{GlobalKeys, InternalColumns} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan._ -import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, GroupedData, SQLContext} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 026c0ff9f..5ade58854 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -19,8 +19,7 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process.ProcessType -import org.apache.griffin.measure.rule.plan._ -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.plan.{TimeInfo, _} import org.apache.griffin.measure.utils.ParamUtil._ case class DataFrameOprAdaptor() extends RuleAdaptor { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 889e1cd2d..7d2e091b8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -26,8 +26,7 @@ import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.dsl.analyzer._ import org.apache.griffin.measure.rule.dsl.expr._ import org.apache.griffin.measure.rule.dsl.parser.GriffinDslParser -import org.apache.griffin.measure.rule.plan._ -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.plan.{TimeInfo, _} import org.apache.griffin.measure.utils.ParamUtil._ import org.apache.griffin.measure.utils.TimeUtil diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index b00aec5ef..512955a8e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -26,9 +26,8 @@ import scala.collection.mutable.{Set => MutableSet} import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.ProcessType -import org.apache.griffin.measure.rule.step.TimeInfo import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.plan.{TimeInfo, _} //object RuleInfoKeys { // val _name = "name" diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 1ba5ad12c..1e077b16a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -23,8 +23,7 @@ import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.process.ProcessType import org.apache.griffin.measure.process.temp.TableRegisters import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.plan.{RulePlan, RuleStep} -import org.apache.griffin.measure.rule.step._ +import org.apache.griffin.measure.rule.plan._ import org.apache.spark.sql.SQLContext import scala.collection.mutable.{Map => MutableMap} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index 57fb038fd..a6089490e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -21,8 +21,7 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.TempName import org.apache.griffin.measure.process.ProcessType import org.apache.griffin.measure.rule.dsl.MetricPersistType -import org.apache.griffin.measure.rule.plan._ -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.plan.{TimeInfo, _} import org.apache.griffin.measure.utils.ParamUtil._ case class SparkSqlAdaptor() extends RuleAdaptor { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/TimeInfo.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/TimeInfo.scala similarity index 80% rename from measure/src/main/scala/org/apache/griffin/measure/rule/step/TimeInfo.scala rename to measure/src/main/scala/org/apache/griffin/measure/rule/plan/TimeInfo.scala index 583a5c15d..129d06897 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/TimeInfo.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/TimeInfo.scala @@ -16,11 +16,11 @@ KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -package org.apache.griffin.measure.rule.step +package org.apache.griffin.measure.rule.plan trait TimeInfo extends Serializable { val calcTime: Long - val tmst: Long +// val tmst: Long val head: String def key: String = if (head.nonEmpty) s"${head}_${calcTime}" else s"${calcTime}" @@ -28,10 +28,10 @@ trait TimeInfo extends Serializable { } case class CalcTimeInfo(calcTime: Long, head: String = "") extends TimeInfo { - val tmst: Long = calcTime +// val tmst: Long = calcTime def setHead(h: String): TimeInfo = CalcTimeInfo(calcTime, h) } -case class TmstTimeInfo(calcTime: Long, tmst: Long, head: String = "") extends TimeInfo { - def setHead(h: String): TimeInfo = TmstTimeInfo(calcTime, tmst, h) -} \ No newline at end of file +//case class TmstTimeInfo(calcTime: Long, tmst: Long, head: String = "") extends TimeInfo { +// def setHead(h: String): TimeInfo = TmstTimeInfo(calcTime, tmst, h) +//} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/ConcreteRuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/ConcreteRuleStep.scala deleted file mode 100644 index 82e2fb1fb..000000000 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/ConcreteRuleStep.scala +++ /dev/null @@ -1,45 +0,0 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.rule.step - -import org.apache.griffin.measure.rule.dsl._ - -trait ConcreteRuleStep extends RuleStep { - -// val _persistType = "persist.type" -// val _updateDataSource = "update.data.source" -// -// def persistType = PersistType(ruleInfo.details.getOrElse(_persistType, "").toString) -// def updateDataSourceOpt = ruleInfo.details.get(_updateDataSource).map(_.toString) - - - -// val persistType: PersistType - -// val updateDataSource: Option[String] - -// def isGroupMetric: Boolean = { -// val _GroupMetric = "group.metric" -// details.get(_GroupMetric) match { -// case Some(b: Boolean) => b -// case _ => false -// } -// } - -} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/DfOprStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/DfOprStep.scala deleted file mode 100644 index 54411a583..000000000 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/DfOprStep.scala +++ /dev/null @@ -1,27 +0,0 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.rule.step - -import org.apache.griffin.measure.rule.dsl._ - -case class DfOprStep(timeInfo: TimeInfo, ruleInfo: RuleInfo) extends ConcreteRuleStep { - - val dslType: DslType = DfOprType - -} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/GriffinDslStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/GriffinDslStep.scala deleted file mode 100644 index 5f8aea1e3..000000000 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/GriffinDslStep.scala +++ /dev/null @@ -1,28 +0,0 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.rule.step - -import org.apache.griffin.measure.rule.dsl._ - -case class GriffinDslStep(timeInfo: TimeInfo, ruleInfo: RuleInfo, dqType: DqType - ) extends RuleStep { - - val dslType: DslType = GriffinDslType - -} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala deleted file mode 100644 index ec820fbc1..000000000 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleInfo.scala +++ /dev/null @@ -1,69 +0,0 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.rule.step - -import org.apache.griffin.measure.rule.dsl.{CollectType, DslType, PersistType} - -object RuleDetailKeys { - val _persistName = "persist.name" - val _persistType = "persist.type" - val _collectType = "collect.type" - val _cacheDataSource = "cache.data.source" - - val _global = "global" -} -import RuleDetailKeys._ -import org.apache.griffin.measure.utils.ParamUtil._ - -case class RuleInfo(name: String, tmstNameOpt: Option[String], dslType: DslType, - rule: String, details: Map[String, Any], gather: Boolean) { - - val persistName = details.getString(_persistName, name) - val persistType = PersistType(details.getString(_persistType, "")) - val collectType = CollectType(details.getString(_collectType, "")) - val cacheDataSourceOpt = details.get(_cacheDataSource).map(_.toString) - - val global = details.getBoolean(_global, false) - - def setName(n: String): RuleInfo = { - RuleInfo(n, tmstNameOpt, dslType, rule, details, gather) - } - def setTmstNameOpt(tnOpt: Option[String]): RuleInfo = { - RuleInfo(name, tnOpt, dslType, rule, details, gather) - } - def setDslType(dt: DslType): RuleInfo = { - RuleInfo(name, tmstNameOpt, dt, rule, details, gather) - } - def setRule(r: String): RuleInfo = { - RuleInfo(name, tmstNameOpt, dslType, r, details, gather) - } - def setDetails(d: Map[String, Any]): RuleInfo = { - RuleInfo(name, tmstNameOpt, dslType, rule, d, gather) - } - def setGather(g: Boolean): RuleInfo = { - RuleInfo(name, tmstNameOpt, dslType, rule, details, g) - } - - def getNames: Seq[String] = { - tmstNameOpt match { - case Some(tn) => name :: tn :: Nil - case _ => name :: Nil - } - } -} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala deleted file mode 100644 index 8877384fa..000000000 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/RuleStep.scala +++ /dev/null @@ -1,45 +0,0 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.rule.step - -import java.util.concurrent.atomic.AtomicLong - -import org.apache.griffin.measure.rule.dsl._ - -trait RuleStep extends Serializable { - - val dslType: DslType - - val timeInfo: TimeInfo - - val ruleInfo: RuleInfo - - def name = ruleInfo.name - -} - -//case class TimeInfo(calcTime: Long, tmst: Long, head: String = "") { -// def key: String = if (head.nonEmpty) s"${head}${calcTime}" else s"${calcTime}" -// def setHead(h: String): TimeInfo = TimeInfo(calcTime, tmst, h) -//} - - - - - diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/step/SparkSqlStep.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/step/SparkSqlStep.scala deleted file mode 100644 index 7152ac2f9..000000000 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/step/SparkSqlStep.scala +++ /dev/null @@ -1,28 +0,0 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.rule.step - -import org.apache.griffin.measure.persist._ -import org.apache.griffin.measure.rule.dsl._ - -case class SparkSqlStep(timeInfo: TimeInfo, ruleInfo: RuleInfo) extends ConcreteRuleStep { - - val dslType: DslType = SparkSqlType - -} diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index c8ff8f13b..eeccbd0d5 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -20,7 +20,7 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process._ import org.apache.griffin.measure.process.temp._ -import org.apache.griffin.measure.rule.step.{CalcTimeInfo, TimeInfo} +import org.apache.griffin.measure.rule.plan.CalcTimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.junit.runner.RunWith import org.scalatest.junit.JUnitRunner diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala index d1f938f91..23b26d161 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroupTest.scala @@ -23,7 +23,7 @@ import org.apache.griffin.measure.config.params.user.UserParam import org.apache.griffin.measure.config.reader.ParamReaderFactory import org.apache.griffin.measure.process._ import org.apache.griffin.measure.process.temp._ -import org.apache.griffin.measure.rule.step.{CalcTimeInfo, TimeInfo, TmstTimeInfo} +import org.apache.griffin.measure.rule.plan.CalcTimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.junit.runner.RunWith import org.scalatest.junit.JUnitRunner diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala index b0d4dbcc5..42c4f5934 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptorTest.scala @@ -18,7 +18,7 @@ under the License. */ package org.apache.griffin.measure.rule.adaptor -import org.apache.griffin.measure.rule.step.TimeInfo +import org.apache.griffin.measure.rule.plan.TimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.junit.runner.RunWith import org.scalatest.junit.JUnitRunner diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala index d633a7927..75cda73f9 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParserTest.scala @@ -81,7 +81,7 @@ class BasicParserTest extends FunSuite with Matchers with BeforeAndAfter { val rule1 = """source""" val result1 = parser.parseAll(parser.selection, rule1) result1.successful should be (true) - result1.get.desc should be ("source") + result1.get.desc should be ("`source`") val rule2 = """source_not_registered""" val result2 = parser.parseAll(parser.selection, rule2) @@ -90,13 +90,13 @@ class BasicParserTest extends FunSuite with Matchers with BeforeAndAfter { val rule3 = """source[12].age""" val result3 = parser.parseAll(parser.selection, rule3) result3.successful should be (true) - result3.get.desc should be ("source[12].age") + result3.get.desc should be ("`source`[12].`age`") result3.get.alias should be (Some("12_age")) val rule4 = """source.name.func(target.name)""" val result4 = parser.parseAll(parser.selection, rule4) result4.successful should be (true) - result4.get.desc should be ("func(source.name, target.name)") + result4.get.desc should be ("func(`source`.`name`, `target`.`name`)") } test ("test math") { @@ -113,24 +113,24 @@ class BasicParserTest extends FunSuite with Matchers with BeforeAndAfter { val rule3 = "source.age + 2 * 5 + target.offset" val result3 = parser.parseAll(parser.mathExpression, rule3) result3.successful should be (true) - result3.get.desc should be ("source.age + 2 * 5 + target.offset") + result3.get.desc should be ("`source`.`age` + 2 * 5 + `target`.`offset`") val rule4 = "(source.age + 2) * (5 + target.offset)" val result4 = parser.parseAll(parser.mathExpression, rule4) result4.successful should be (true) - result4.get.desc should be ("(source.age + 2) * (5 + target.offset)") + result4.get.desc should be ("(`source`.`age` + 2) * (5 + `target`.`offset`)") } test ("test logical") { val rule1 = "source.age in (12 + 3, 23, 34)" val result1 = parser.parseAll(parser.logicalExpression, rule1) result1.successful should be (true) - result1.get.desc should be ("source.age IN (12 + 3, 23, 34)") + result1.get.desc should be ("`source`.`age` IN (12 + 3, 23, 34)") val rule2 = "source.age between (12 + 3, 23, 34)" val result2 = parser.parseAll(parser.logicalExpression, rule2) result2.successful should be (true) - result2.get.desc should be ("source.age BETWEEN 12 + 3 AND 23") + result2.get.desc should be ("`source`.`age` BETWEEN 12 + 3 AND 23") val rule3 = "source.age between (12 + 3)" assertThrows[Exception](parser.parseAll(parser.logicalExpression, rule3)) @@ -138,22 +138,22 @@ class BasicParserTest extends FunSuite with Matchers with BeforeAndAfter { val rule4 = "source.name like '%tk'" val result4 = parser.parseAll(parser.logicalExpression, rule4) result4.successful should be (true) - result4.get.desc should be ("source.name LIKE '%tk'") + result4.get.desc should be ("`source`.`name` LIKE '%tk'") val rule5 = "source.desc is not null" val result5 = parser.parseAll(parser.logicalExpression, rule5) result5.successful should be (true) - result5.get.desc should be ("source.desc IS NOT NULL") + result5.get.desc should be ("`source`.`desc` IS NOT NULL") val rule6 = "source.desc is not nan" val result6 = parser.parseAll(parser.logicalExpression, rule6) result6.successful should be (true) - result6.get.desc should be ("NOT isnan(source.desc)") + result6.get.desc should be ("NOT isnan(`source`.`desc`)") val rule7 = "!source.ok and source.name = target.name && (source.age between 12 and 52) && target.desc is not null" val result7 = parser.parseAll(parser.logicalExpression, rule7) result7.successful should be (true) - result7.get.desc should be ("(NOT source.ok) AND source.name = target.name AND (source.age BETWEEN 12 AND 52) AND target.desc IS NOT NULL") + result7.get.desc should be ("(NOT `source`.`ok`) AND `source`.`name` = `target`.`name` AND (`source`.`age` BETWEEN 12 AND 52) AND `target`.`desc` IS NOT NULL") val rule8 = "!(10 != 30 and !(31 > 2) or (45 <= 8 and 33 <> 0))" val result8 = parser.parseAll(parser.logicalExpression, rule8) @@ -167,18 +167,18 @@ class BasicParserTest extends FunSuite with Matchers with BeforeAndAfter { val result3 = parser.parseAll(parser.expression, rule3) println(result3) result3.successful should be (true) - result3.get.desc should be ("source.age + 2 * 5 + target.offset") + result3.get.desc should be ("`source`.`age` + 2 * 5 + `target`.`offset`") val rule4 = "(source.age + 2) * (5 + target.offset)" val result4 = parser.parseAll(parser.expression, rule4) println(result4) result4.successful should be (true) - result4.get.desc should be ("(source.age + 2) * (5 + target.offset)") + result4.get.desc should be ("(`source`.`age` + 2) * (5 + `target`.`offset`)") val rule7 = "!source.ok and source.name = target.name && (source.age between 12 and 52) && target.desc is not null" val result7 = parser.parseAll(parser.expression, rule7) result7.successful should be (true) - result7.get.desc should be ("(NOT source.ok) AND source.name = target.name AND (source.age BETWEEN 12 AND 52) AND target.desc IS NOT NULL") + result7.get.desc should be ("(NOT `source`.`ok`) AND `source`.`name` = `target`.`name` AND (`source`.`age` BETWEEN 12 AND 52) AND `target`.`desc` IS NOT NULL") val rule8 = "!(10 != 30 and !(31 > 2) or (45 <= 8 and 33 <> 0))" val result8 = parser.parseAll(parser.expression, rule8) @@ -188,14 +188,14 @@ class BasicParserTest extends FunSuite with Matchers with BeforeAndAfter { val rule1 = "source.user_id = target.user_id AND source.first_name = target.first_name AND source.last_name = target.last_name AND source.address = target.address AND source.email = target.email AND source.phone = target.phone AND source.post_code = target.post_code" val result1 = parser.parseAll(parser.expression, rule1) result1.successful should be (true) - result1.get.desc should be ("source.user_id = target.user_id AND source.first_name = target.first_name AND source.last_name = target.last_name AND source.address = target.address AND source.email = target.email AND source.phone = target.phone AND source.post_code = target.post_code") + result1.get.desc should be ("`source`.`user_id` = `target`.`user_id` AND `source`.`first_name` = `target`.`first_name` AND `source`.`last_name` = `target`.`last_name` AND `source`.`address` = `target`.`address` AND `source`.`email` = `target`.`email` AND `source`.`phone` = `target`.`phone` AND `source`.`post_code` = `target`.`post_code`") } test ("test function") { val rule3 = "source.age + 2 * 5 + target.offset * func('a', source.name)" val result3 = parser.parseAll(parser.expression, rule3) result3.successful should be (true) - result3.get.desc should be ("source.age + 2 * 5 + target.offset * func('a', source.name)") + result3.get.desc should be ("`source`.`age` + 2 * 5 + `target`.`offset` * func('a', `source`.`name`)") } test ("order by clause") { From 1acc0083cae59e98c638a7e96c6c404dec7e2f34 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 29 Dec 2017 22:41:33 +0800 Subject: [PATCH 083/177] enhance collect streaming records --- .../process/engine/DataFrameOprEngine.scala | 12 ++++++++--- .../process/engine/SparkDqEngine.scala | 21 ++++++++++++------- .../rule/adaptor/GriffinDslAdaptor.scala | 2 +- .../rule/adaptor/InternalColumns.scala | 5 ++--- .../_accuracy-streaming-sparksql2.json | 2 +- 5 files changed, 26 insertions(+), 16 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index b06ee326f..09dc883fa 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -117,6 +117,8 @@ object DataFrameOprs { } val df = sqlContext.table(s"`${dfName}`") + df.cache() + val results = df.flatMap { row => try { val tmst = getLong(row, InternalColumns.tmst).getOrElse(timeInfo.calcTime) @@ -146,15 +148,19 @@ object DataFrameOprs { StructField(miss, LongType), StructField(total, LongType), StructField(matched, LongType), - StructField(InternalColumns.record, BooleanType) + StructField(InternalColumns.record, BooleanType), + StructField(InternalColumns.empty, BooleanType) )) val rows = updateResults.map { r => val ar = r.result.asInstanceOf[AccuracyResult] - Row(r.timeGroup, ar.miss, ar.total, ar.getMatch, !ar.initial) + Row(r.timeGroup, ar.miss, ar.total, ar.getMatch, !ar.initial, ar.eventual) } val rowRdd = sqlContext.sparkContext.parallelize(rows) - sqlContext.createDataFrame(rowRdd, schema) + val retDf = sqlContext.createDataFrame(rowRdd, schema) + + df.unpersist() + retDf } def clear(sqlContext: SQLContext, details: Map[String, Any]): DataFrame = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 572af970d..e7c38f9ea 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -161,13 +161,21 @@ trait SparkDqEngine extends DqEngine { originDFOpt match { case Some(originName) => { val tmsts = (stepDf.collect.flatMap { row => - try { Some(row.getAs[Long](InternalColumns.tmst)) } catch { case _: Throwable => None } - }).toSet - if (tmsts.size > 0) { + try { + val tmst = row.getAs[Long](InternalColumns.tmst) + val empty = row.getAs[Boolean](InternalColumns.empty) + Some((tmst, empty)) + } catch { + case _: Throwable => None + } + }) + val emptyTmsts = tmsts.filter(_._2).map(_._1).toSet + val recordTmsts = tmsts.filter(!_._2).map(_._1).toSet + if (recordTmsts.size > 0) { val recordsDf = sqlContext.table(s"`${originName}`") val records = recordsDf.flatMap { row => val tmst = row.getAs[Long](InternalColumns.tmst) - if (tmsts.contains(tmst)) { + if (recordTmsts.contains(tmst)) { try { val map = SparkRowFormatter.formatRow(row) val str = JsonUtil.toJson(map) @@ -177,10 +185,7 @@ trait SparkDqEngine extends DqEngine { } } else None } - val recordGroups = records.groupByKey - val groupKeys = recordGroups.keys.collect.toSet - val emptyRecordKeys = tmsts -- groupKeys - Some((records.groupByKey, emptyRecordKeys)) + Some((records.groupByKey, emptyTmsts)) } else None } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 7d2e091b8..63effced2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -203,7 +203,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuracyRecordTableName = "__accuracyRecords" val accuracyRecordSql = { s""" - |SELECT `${InternalColumns.tmst}` + |SELECT `${InternalColumns.tmst}`, `${InternalColumns.empty}` |FROM `${accuracyMetricTableName}` WHERE `${InternalColumns.record}` """.stripMargin } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala index 00ba853c2..224d739c8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala @@ -22,8 +22,7 @@ object InternalColumns { val tmst = "__tmst" val metric = "__metric" val record = "__record" - // val ignoreCache = "__ignoreCache" + val empty = "__empty" - val columns = List[String](tmst, metric, record) -// val columns = List[String](tmst, ignoreCache) + val columns = List[String](tmst, metric, record, empty) } \ No newline at end of file diff --git a/measure/src/test/resources/_accuracy-streaming-sparksql2.json b/measure/src/test/resources/_accuracy-streaming-sparksql2.json index d9edbc168..0824cb8d2 100644 --- a/measure/src/test/resources/_accuracy-streaming-sparksql2.json +++ b/measure/src/test/resources/_accuracy-streaming-sparksql2.json @@ -130,7 +130,7 @@ { "dsl.type": "spark-sql", "name": "accu_miss_records", - "rule": "SELECT `__tmst` FROM `metric_accu` WHERE `__record`", + "rule": "SELECT `__tmst`, `__empty` FROM `metric_accu` WHERE `__record`", "record": { "name": "missRecords", "data.source.cache": "source", From 3ef53237e939536af54bf56f6ee165f1e38a5ba6 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Sat, 30 Dec 2017 00:03:52 +0800 Subject: [PATCH 084/177] no cache in accuracy --- .../griffin/measure/process/engine/DataFrameOprEngine.scala | 3 --- 1 file changed, 3 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala index 09dc883fa..59b765eb0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DataFrameOprEngine.scala @@ -117,7 +117,6 @@ object DataFrameOprs { } val df = sqlContext.table(s"`${dfName}`") - df.cache() val results = df.flatMap { row => try { @@ -158,8 +157,6 @@ object DataFrameOprs { val rowRdd = sqlContext.sparkContext.parallelize(rows) val retDf = sqlContext.createDataFrame(rowRdd, schema) - df.unpersist() - retDf } From 3deb91448ef405271bb075300fd7c3d335cdc167 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 2 Jan 2018 13:30:28 +0800 Subject: [PATCH 085/177] add print --- .../apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala | 2 ++ 1 file changed, 2 insertions(+) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 63effced2..b8d55b282 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -99,12 +99,14 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + println(s"[${timeInfo.calcTime}] data source ${sourceName} not exists") emptyRulePlan } else { // 1. miss record val missRecordsTableName = "__missRecords" val selClause = s"`${sourceName}`.*" val missRecordsSql = if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { + println(s"[${timeInfo.calcTime}] data source ${targetName} not exists") s"SELECT ${selClause} FROM `${sourceName}`" } else { val onClause = expr.coalesceDesc From 80add20333661a0af15a7dcdc4b19bcc91d12544 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 2 Jan 2018 15:59:47 +0800 Subject: [PATCH 086/177] fix bug of all match persist --- .../measure/data/source/DataSource.scala | 3 +- .../measure/process/engine/DqEngine.scala | 2 +- .../measure/process/engine/DqEngines.scala | 52 ++++++-- .../process/engine/SparkDqEngine.scala | 120 +++++++++++++----- .../process/temp/DataFrameCaches.scala | 10 +- 5 files changed, 143 insertions(+), 44 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index bd080ce56..1918e2854 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -23,7 +23,7 @@ import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.data.connector.batch._ import org.apache.griffin.measure.data.connector.streaming._ import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.plan.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row, SQLContext} @@ -55,6 +55,7 @@ case class DataSource(sqlContext: SQLContext, val (dfOpt, tmsts) = data(calcTime) dfOpt match { case Some(df) => { +// DataFrameCaches.cacheDataFrame(timeInfo.key, name, df) TableRegisters.registerRunTempTable(df, timeInfo.key, name) } case None => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index 8f48b15ae..a48c4d13d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -47,5 +47,5 @@ trait DqEngine extends Loggable with Serializable { def collectBatchRecords(recordExport: RecordExport): Option[RDD[String]] - def collectStreamingRecords(recordExport: RecordExport): Option[(RDD[(Long, Iterable[String])], Set[Long])] + def collectStreamingRecords(recordExport: RecordExport): (Option[RDD[(Long, Iterable[String])]], Set[Long]) } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 71c3cfa8e..03ee208e4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -131,9 +131,11 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } case StreamingProcessType => { - collectStreamingRecords(recordExport).foreach { rddPair => - persistCollectedStreamingRecords(recordExport, rddPair._1, rddPair._2, persistFactory, dataSources) - } + val (rddOpt, emptySet) = collectStreamingRecords(recordExport) + persistCollectedStreamingRecords(recordExport, rddOpt, emptySet, persistFactory, dataSources) +// collectStreamingRecords(recordExport).foreach { rddPair => +// persistCollectedStreamingRecords(recordExport, rddPair._1, rddPair._2, persistFactory, dataSources) +// } } } } @@ -145,9 +147,9 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } ret } - def collectStreamingRecords(recordExport: RecordExport): Option[(RDD[(Long, Iterable[String])], Set[Long])] = { - val ret = engines.foldLeft(None: Option[(RDD[(Long, Iterable[String])], Set[Long])]) { (ret, engine) => - if (ret.nonEmpty) ret else engine.collectStreamingRecords(recordExport) + def collectStreamingRecords(recordExport: RecordExport): (Option[RDD[(Long, Iterable[String])]], Set[Long]) = { + val ret = engines.foldLeft((None: Option[RDD[(Long, Iterable[String])]], Set[Long]())) { (ret, engine) => + if (ret._1.nonEmpty || ret._2.nonEmpty) ret else engine.collectStreamingRecords(recordExport) } ret } @@ -159,7 +161,7 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { persist.persistRecords(records, recordExport.name) } - private def persistCollectedStreamingRecords(recordExport: RecordExport, records: RDD[(Long, Iterable[String])], + private def persistCollectedStreamingRecords(recordExport: RecordExport, recordsOpt: Option[RDD[(Long, Iterable[String])]], emtpyRecordKeys: Set[Long], persistFactory: PersistFactory, dataSources: Seq[DataSource] ): Unit = { @@ -168,12 +170,14 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { case _ => Nil } - records.foreach { pair => - val (tmst, strs) = pair - val persist = persistFactory.getPersists(tmst) + recordsOpt.foreach { records => + records.foreach { pair => + val (tmst, strs) = pair + val persist = persistFactory.getPersists(tmst) - persist.persistRecords(strs, recordExport.name) - updateDsCaches.foreach(_.updateData(strs, tmst)) + persist.persistRecords(strs, recordExport.name) + updateDsCaches.foreach(_.updateData(strs, tmst)) + } } emtpyRecordKeys.foreach { t => @@ -183,6 +187,30 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } +// private def persistCollectedStreamingRecords(recordExport: RecordExport, records: RDD[(Long, Iterable[String])], +// emtpyRecordKeys: Set[Long], persistFactory: PersistFactory, +// dataSources: Seq[DataSource] +// ): Unit = { +// val updateDsCaches = recordExport.dataSourceCacheOpt match { +// case Some(dsName) => dataSources.filter(_.name == dsName).flatMap(_.dataSourceCacheOpt) +// case _ => Nil +// } +// +// records.foreach { pair => +// val (tmst, strs) = pair +// val persist = persistFactory.getPersists(tmst) +// +// persist.persistRecords(strs, recordExport.name) +// updateDsCaches.foreach(_.updateData(strs, tmst)) +// } +// +// emtpyRecordKeys.foreach { t => +// val persist = persistFactory.getPersists(t) +// persist.persistRecords(Nil, recordExport.name) +// updateDsCaches.foreach(_.updateData(Nil, t)) +// } +// } + // def persistAllRecords(ruleSteps: Seq[ConcreteRuleStep], persistFactory: PersistFactory, // timeGroups: Iterable[Long]): Unit = { // val recordSteps = ruleSteps.filter(_.persistType == RecordPersistType) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index e7c38f9ea..5732553c5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -155,41 +155,103 @@ trait SparkDqEngine extends DqEngine { getRecordDataFrame(recordExport).map(_.toJSON) } - def collectStreamingRecords(recordExport: RecordExport): Option[(RDD[(Long, Iterable[String])], Set[Long])] = { + def collectStreamingRecords(recordExport: RecordExport): (Option[RDD[(Long, Iterable[String])]], Set[Long]) = { val RecordExport(_, _, _, originDFOpt) = recordExport - getRecordDataFrame(recordExport).flatMap { stepDf => - originDFOpt match { - case Some(originName) => { - val tmsts = (stepDf.collect.flatMap { row => - try { - val tmst = row.getAs[Long](InternalColumns.tmst) - val empty = row.getAs[Boolean](InternalColumns.empty) - Some((tmst, empty)) - } catch { - case _: Throwable => None - } - }) - val emptyTmsts = tmsts.filter(_._2).map(_._1).toSet - val recordTmsts = tmsts.filter(!_._2).map(_._1).toSet - if (recordTmsts.size > 0) { - val recordsDf = sqlContext.table(s"`${originName}`") - val records = recordsDf.flatMap { row => + getRecordDataFrame(recordExport) match { + case Some(stepDf) => { + originDFOpt match { + case Some(originName) => { + val tmsts = (stepDf.collect.flatMap { row => + try { + val tmst = row.getAs[Long](InternalColumns.tmst) + val empty = row.getAs[Boolean](InternalColumns.empty) + Some((tmst, empty)) + } catch { + case _: Throwable => None + } + }) + val emptyTmsts = tmsts.filter(_._2).map(_._1).toSet + val recordTmsts = tmsts.filter(!_._2).map(_._1).toSet + if (recordTmsts.size > 0) { + val recordsDf = sqlContext.table(s"`${originName}`") + val records = recordsDf.flatMap { row => + val tmst = row.getAs[Long](InternalColumns.tmst) + if (recordTmsts.contains(tmst)) { + try { + val map = SparkRowFormatter.formatRow(row) + val str = JsonUtil.toJson(map) + Some((tmst, str)) + } catch { + case e: Throwable => None + } + } else None + } + (Some(records.groupByKey), emptyTmsts) + } else (None, emptyTmsts) + } + case _ => { + val records = stepDf.flatMap { row => val tmst = row.getAs[Long](InternalColumns.tmst) - if (recordTmsts.contains(tmst)) { - try { - val map = SparkRowFormatter.formatRow(row) - val str = JsonUtil.toJson(map) - Some((tmst, str)) - } catch { - case e: Throwable => None - } - } else None + try { + val map = SparkRowFormatter.formatRow(row) + val str = JsonUtil.toJson(map) + Some((tmst, str)) + } catch { + case e: Throwable => None + } } - Some((records.groupByKey, emptyTmsts)) - } else None + (Some(records.groupByKey), Set[Long]()) + } } } + case _ => (None, Set[Long]()) } +// val recordsOpt = getRecordDataFrame(recordExport).flatMap { stepDf => +// originDFOpt match { +// case Some(originName) => { +// val tmsts = (stepDf.collect.flatMap { row => +// try { +// val tmst = row.getAs[Long](InternalColumns.tmst) +// val empty = row.getAs[Boolean](InternalColumns.empty) +// Some((tmst, empty)) +// } catch { +// case _: Throwable => None +// } +// }) +// val emptyTmsts = tmsts.filter(_._2).map(_._1).toSet +// val recordTmsts = tmsts.filter(!_._2).map(_._1).toSet +// if (recordTmsts.size > 0) { +// val recordsDf = sqlContext.table(s"`${originName}`") +// val records = recordsDf.flatMap { row => +// val tmst = row.getAs[Long](InternalColumns.tmst) +// if (recordTmsts.contains(tmst)) { +// try { +// val map = SparkRowFormatter.formatRow(row) +// val str = JsonUtil.toJson(map) +// Some((tmst, str)) +// } catch { +// case e: Throwable => None +// } +// } else None +// } +// Some((Some(records.groupByKey), emptyTmsts)) +// } else Some((None, emptyTmsts)) +// } +// case _ => { +// val records = stepDf.flatMap { row => +// val tmst = row.getAs[Long](InternalColumns.tmst) +// try { +// val map = SparkRowFormatter.formatRow(row) +// val str = JsonUtil.toJson(map) +// Some((tmst, str)) +// } catch { +// case e: Throwable => None +// } +// } +// Some(records.groupByKey) +// } +// } +// } } // diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala index 50c5cf401..fc5fea38c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala @@ -38,12 +38,14 @@ object DataFrameCaches extends Loggable { } def cacheDataFrame(key: String, name: String, df: DataFrame): Unit = { + println(s"try to cache df ${name}") caches.get(key) match { case Some(mp) => { mp.get(name) match { case Some(odf) => { val suc = caches.replace(key, mp, mp + (name -> df)) if (suc) { + println(s"cache after replace old df") df.cache trashDataFrame(key, odf) } else { @@ -53,6 +55,7 @@ object DataFrameCaches extends Loggable { case _ => { val suc = caches.replace(key, mp, mp + (name -> df)) if (suc) { + println(s"cache after replace no old df") df.cache } else { cacheDataFrame(key, name, df) @@ -62,7 +65,12 @@ object DataFrameCaches extends Loggable { } case _ => { val oldOpt = caches.putIfAbsent(key, Map[String, DataFrame]((name -> df))) - if (oldOpt.nonEmpty) cacheDataFrame(key, name, df) + if (oldOpt.isEmpty) { + println(s"cache after put absent") + df.cache + } else { + cacheDataFrame(key, name, df) + } } } } From 728d150c295f24938f918915d36c4256f9cf82fa Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 2 Jan 2018 17:06:27 +0800 Subject: [PATCH 087/177] update dump --- .../measure/data/source/DataSourceCache.scala | 14 ++++++---- .../measure/utils/HdfsFileDumpUtil.scala | 28 +++++++++++++------ 2 files changed, 28 insertions(+), 14 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala index c3d62c17b..9272f179f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala @@ -97,9 +97,13 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], val dataRdd: RDD[String] = df.toJSON // save data - val dumped = if (!dataRdd.isEmpty) { +// val dumped = if (!dataRdd.isEmpty) { +// HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) +// } else false + + if (!dataRdd.isEmpty) { HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) - } else false + } } catch { case e: Throwable => error(s"save data error: ${e.getMessage}") @@ -211,7 +215,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], } } - def updateData(rdd: Iterable[String], ms: Long): Unit = { + def updateData(arr: Iterable[String], ms: Long): Unit = { val ptns = getPartition(ms) val ptnsPath = genPartitionHdfsPath(ptns) val dirPath = s"${filePath}/${ptnsPath}" @@ -219,7 +223,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) try { - val needSave = !rdd.isEmpty + val needSave = !arr.isEmpty // remove out time old data HdfsFileDumpUtil.remove(dirPath, dataFileName, true) @@ -227,7 +231,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], // save updated data if (needSave) { - HdfsFileDumpUtil.dump(dataFilePath, rdd, rowSepLiteral) + HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) println(s"update file path: ${dataFilePath}") } else { clearTmst(ms) diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala index ca709d2cb..ce3aba6af 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala @@ -22,7 +22,7 @@ import org.apache.spark.rdd.RDD object HdfsFileDumpUtil { - val sepCount = 5000 + val sepCount = 50000 private def suffix(i: Long): String = { if (i == 0) "" else s".${i}" @@ -47,23 +47,33 @@ object HdfsFileDumpUtil { HdfsUtil.writeContent(path, strRecords) } - def dump(path: String, recordsRdd: RDD[String], lineSep: String): Boolean = { + def dump(path: String, recordsRdd: RDD[String], lineSep: String): Unit = { val groupedRdd = splitRdd(recordsRdd) - groupedRdd.aggregate(true)({ (res, pair) => + groupedRdd.foreach { pair => val (idx, list) = pair val filePath = path + suffix(idx) directDump(filePath, list, lineSep) - true - }, _ && _) + } +// groupedRdd.aggregate(true)({ (res, pair) => +// val (idx, list) = pair +// val filePath = path + suffix(idx) +// directDump(filePath, list, lineSep) +// true +// }, _ && _) } - def dump(path: String, records: Iterable[String], lineSep: String): Boolean = { + def dump(path: String, records: Iterable[String], lineSep: String): Unit = { val groupedRecords = splitIterable(records) - groupedRecords.aggregate(true)({ (res, pair) => + groupedRecords.foreach { pair => val (idx, list) = pair val filePath = path + suffix(idx) directDump(filePath, list, lineSep) - true - }, _ && _) + } +// groupedRecords.aggregate(true)({ (res, pair) => +// val (idx, list) = pair +// val filePath = path + suffix(idx) +// directDump(filePath, list, lineSep) +// true +// }, _ && _) } def remove(path: String, filename: String, withSuffix: Boolean): Unit = { From e7923d52fb2c41a621f0f25bcf44644757415dfa Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 2 Jan 2018 18:11:41 +0800 Subject: [PATCH 088/177] init json --- .../rule/adaptor/GriffinDslAdaptor.scala | 2 +- .../_accuracy-streaming-griffindsl.json | 3 +- .../_accuracy-streaming-sparksql.json | 32 ++-- .../_accuracy-streaming-sparksql2.json | 142 ------------------ .../_duplicate-streaming-sparksql.json | 82 ++++++++++ 5 files changed, 95 insertions(+), 166 deletions(-) delete mode 100644 measure/src/test/resources/_accuracy-streaming-sparksql2.json create mode 100644 measure/src/test/resources/_duplicate-streaming-sparksql.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index b8d55b282..72ec13d4f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -45,7 +45,7 @@ object ProfilingKeys { object GlobalKeys { val _initRule = "init.rule" - val _globalMetricKeep = "global.metric.keep" +// val _globalMetricKeep = "global.metric.keep" } case class GriffinDslAdaptor(dataSourceNames: Seq[String], diff --git a/measure/src/test/resources/_accuracy-streaming-griffindsl.json b/measure/src/test/resources/_accuracy-streaming-griffindsl.json index fac17d214..da010d7ce 100644 --- a/measure/src/test/resources/_accuracy-streaming-griffindsl.json +++ b/measure/src/test/resources/_accuracy-streaming-griffindsl.json @@ -102,8 +102,7 @@ "target": "target", "miss": "miss_count", "total": "total_count", - "matched": "matched_count", - "global.metric.keep": "3m" + "matched": "matched_count" }, "metric": { "name": "accu" diff --git a/measure/src/test/resources/_accuracy-streaming-sparksql.json b/measure/src/test/resources/_accuracy-streaming-sparksql.json index 946fb6ba0..0824cb8d2 100644 --- a/measure/src/test/resources/_accuracy-streaming-sparksql.json +++ b/measure/src/test/resources/_accuracy-streaming-sparksql.json @@ -111,41 +111,31 @@ { "dsl.type": "spark-sql", "name": "accu", - "cache": true, "rule": "SELECT `total_count`.`__tmst` AS `__tmst`, `total_count`.`total` AS `total`, coalesce(`miss_count`.`miss`, 0) AS `miss` FROM `total_count` FULL JOIN `miss_count` ON `total_count`.`__tmst` = `miss_count`.`__tmst`" }, { - "dsl.type": "spark-sql", - "name": "global_accu", - "rule": "SELECT coalesce(`global_accu`.`__tmst`, `accu`.`__tmst`) AS `__tmst`, coalesce(`accu`.`miss`, `global_accu`.`miss`) AS `miss`, coalesce(`global_accu`.`total`, `accu`.`total`) AS `total`, ((`accu`.`miss` IS NOT NULL) AND ((`global_accu`.`miss` IS NULL) OR (`accu`.`miss` < `global_accu`.`miss`))) AS `__metric` FROM `global_accu` FULL JOIN `accu` ON `global_accu`.`__tmst` = `accu`.`__tmst`", - "global": true, - "details": { - "init.rule": "SELECT `__tmst`, `total`, `miss`, (true) AS `__metric` FROM `accu`" - } - }, - { - "dsl.type": "spark-sql", + "dsl.type": "df-opr", "name": "metric_accu", - "rule": "SELECT `__tmst`, `total`, `miss`, (`total` - `miss`) AS `matched` FROM `global_accu` WHERE `__metric`", + "rule": "accuracy", + "details": { + "df.name": "accu", + "miss": "miss", + "total": "total", + "matched": "matched" + }, "metric": { - "name": "accu" + "name": "accuracy" } }, { "dsl.type": "spark-sql", - "name": "record_accu", - "rule": "SELECT `__tmst` FROM `metric_accu` WHERE `matched` > 0", + "name": "accu_miss_records", + "rule": "SELECT `__tmst`, `__empty` FROM `metric_accu` WHERE `__record`", "record": { "name": "missRecords", "data.source.cache": "source", "origin.DF": "missRecords" } - }, - { - "dsl.type": "spark-sql", - "name": "global_accu", - "rule": "SELECT * FROM `global_accu` WHERE (`miss` > 0)", - "global": true } ] } diff --git a/measure/src/test/resources/_accuracy-streaming-sparksql2.json b/measure/src/test/resources/_accuracy-streaming-sparksql2.json deleted file mode 100644 index 0824cb8d2..000000000 --- a/measure/src/test/resources/_accuracy-streaming-sparksql2.json +++ /dev/null @@ -1,142 +0,0 @@ -{ - "name": "accu_streaming", - - "process.type": "streaming", - - "data.sources": [ - { - "name": "source", - "baseline": true, - "connectors": [ - { - "type": "kafka", - "version": "0.8", - "config": { - "kafka.config": { - "bootstrap.servers": "10.149.247.156:9092", - "group.id": "group1", - "auto.offset.reset": "smallest", - "auto.commit.enable": "false" - }, - "topics": "sss", - "key.type": "java.lang.String", - "value.type": "java.lang.String" - }, - "pre.proc": [ - { - "dsl.type": "df-opr", - "name": "${s1}", - "rule": "from_json", - "details": { - "df.name": "${this}" - } - }, - { - "dsl.type": "spark-sql", - "name": "${this}", - "rule": "select name, age from ${s1}" - } - ] - } - ], - "cache": { - "file.path": "hdfs://localhost/griffin/streaming/dump/source", - "info.path": "source", - "ready.time.interval": "10s", - "ready.time.delay": "0", - "time.range": ["-2m", "0"] - } - }, { - "name": "target", - "connectors": [ - { - "type": "kafka", - "version": "0.8", - "config": { - "kafka.config": { - "bootstrap.servers": "10.149.247.156:9092", - "group.id": "group1", - "auto.offset.reset": "smallest", - "auto.commit.enable": "false" - }, - "topics": "ttt", - "key.type": "java.lang.String", - "value.type": "java.lang.String" - }, - "pre.proc": [ - { - "dsl.type": "df-opr", - "name": "${t1}", - "rule": "from_json", - "details": { - "df.name": "${this}" - } - }, - { - "dsl.type": "spark-sql", - "name": "${this}", - "rule": "select name, age from ${t1}" - } - ] - } - ], - "cache": { - "file.path": "hdfs://localhost/griffin/streaming/dump/target", - "info.path": "target", - "ready.time.interval": "10s", - "ready.time.delay": "0", - "time.range": ["-2m", "0"] - } - } - ], - - "evaluate.rule": { - "rules": [ - { - "dsl.type": "spark-sql", - "name": "missRecords", - "cache": true, - "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.name, '') = coalesce(target.name, '') AND coalesce(source.age, '') = coalesce(target.age, '') WHERE (NOT (source.name IS NULL AND source.age IS NULL)) AND (target.name IS NULL AND target.age IS NULL)" - }, - { - "dsl.type": "spark-sql", - "name": "miss_count", - "rule": "SELECT `__tmst`, count(*) as miss FROM `missRecords` GROUP BY `__tmst`" - }, - { - "dsl.type": "spark-sql", - "name": "total_count", - "rule": "SELECT `__tmst`, count(*) as total FROM source GROUP BY `__tmst`" - }, - { - "dsl.type": "spark-sql", - "name": "accu", - "rule": "SELECT `total_count`.`__tmst` AS `__tmst`, `total_count`.`total` AS `total`, coalesce(`miss_count`.`miss`, 0) AS `miss` FROM `total_count` FULL JOIN `miss_count` ON `total_count`.`__tmst` = `miss_count`.`__tmst`" - }, - { - "dsl.type": "df-opr", - "name": "metric_accu", - "rule": "accuracy", - "details": { - "df.name": "accu", - "miss": "miss", - "total": "total", - "matched": "matched" - }, - "metric": { - "name": "accuracy" - } - }, - { - "dsl.type": "spark-sql", - "name": "accu_miss_records", - "rule": "SELECT `__tmst`, `__empty` FROM `metric_accu` WHERE `__record`", - "record": { - "name": "missRecords", - "data.source.cache": "source", - "origin.DF": "missRecords" - } - } - ] - } -} \ No newline at end of file diff --git a/measure/src/test/resources/_duplicate-streaming-sparksql.json b/measure/src/test/resources/_duplicate-streaming-sparksql.json new file mode 100644 index 000000000..28f2be94b --- /dev/null +++ b/measure/src/test/resources/_duplicate-streaming-sparksql.json @@ -0,0 +1,82 @@ +{ + "name": "accu_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "old", + "baseline": true, + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/old", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-24h", "0"] + } + }, { + "name": "new", + "duplicate.with": "old", + "cache": { + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["0", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "dist", + "rule": "SELECT DISTINCT new.* FROM new" + }, + { + "dsl.type": "spark-sql", + "name": "joined", + "rule": "SELECT dist.* FROM old RIGHT JOIN dist ON coalesce(old.name, '') = coalesce(dist.name, '') AND coalesce(old.age, '') = coalesce(dist.age, '') WHERE (dist.name IS NOT NULL AND dist.age IS NOT NULL)" + }, + { + "dsl.type": "spark-sql", + "name": "duplicate", + "rule": "SELECT `__tmst`, `name`, `age`, count(*) as `cnt` FROM joined GROUP BY `__tmst`, `name`, `age` WHERE `cnt` > 1", + "metric": { + "name": "duplicate" + } + } + ] + } +} \ No newline at end of file From 723492715462313bed367c7b4cfa0eb72139dc56 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 3 Jan 2018 17:39:28 +0800 Subject: [PATCH 089/177] dup --- .../data/source/DataSourceFactory.scala | 4 - .../process/engine/SparkDqEngine.scala | 35 +++--- .../rule/adaptor/GriffinDslAdaptor.scala | 91 +++++++++++++- .../griffin/measure/rule/dsl/DqType.scala | 11 +- .../rule/dsl/analyzer/BasicAnalyzer.scala | 2 +- .../rule/dsl/analyzer/DuplicateAnalyzer.scala | 44 +++++++ .../rule/dsl/expr/ClauseExpression.scala | 14 +++ .../griffin/measure/rule/dsl/expr/Expr.scala | 2 +- .../rule/dsl/parser/GriffinDslParser.scala | 9 ++ .../measure/utils/HdfsFileDumpUtil.scala | 12 +- .../griffin/measure/utils/HdfsUtil.scala | 2 +- .../_duplicate-batch-griffindsl.json | 52 ++++++++ .../_duplicate-streaming-griffindsl.json | 112 ++++++++++++++++++ .../_duplicate-streaming-sparksql.json | 58 +++++++-- .../rule/adaptor/GriffinDslAdaptorTest.scala | 33 +++++- 15 files changed, 435 insertions(+), 46 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DuplicateAnalyzer.scala create mode 100644 measure/src/test/resources/_duplicate-batch-griffindsl.json create mode 100644 measure/src/test/resources/_duplicate-streaming-griffindsl.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala index 733adeb46..47ee36842 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala @@ -31,10 +31,6 @@ import scala.util.{Success, Try} object DataSourceFactory extends Loggable { - val HiveRegex = """^(?i)hive$""".r - val TextRegex = """^(?i)text$""".r - val AvroRegex = """^(?i)avro$""".r - def genDataSources(sqlContext: SQLContext, ssc: StreamingContext, dqEngines: DqEngines, dataSourceParams: Seq[DataSourceParam]) = { val filteredDsParams = trimDataSourceParams(dataSourceParams) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 5732553c5..f1e12d2ba 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -74,29 +74,24 @@ trait SparkDqEngine extends DqEngine { val MetricExport(name, stepName, collectType) = metricExport try { val metricMaps = getMetricMaps(stepName) - if (metricMaps.size > 0) { - procType match { - case BatchProcessType => { - val metrics: Map[String, Any] = normalizeMetric(metricMaps, name, collectType) - emptyMetricMap + (timeInfo.calcTime -> metrics) + procType match { + case BatchProcessType => { + val metrics: Map[String, Any] = normalizeMetric(metricMaps, name, collectType) + emptyMetricMap + (timeInfo.calcTime -> metrics) + } + case StreamingProcessType => { + val tmstMetrics = metricMaps.map { metric => + val tmst = metric.getLong(InternalColumns.tmst, timeInfo.calcTime) + val pureMetric = metric.removeKeys(InternalColumns.columns) + (tmst, pureMetric) } - case StreamingProcessType => { - val tmstMetrics = metricMaps.map { metric => - val tmst = metric.getLong(InternalColumns.tmst, timeInfo.calcTime) - val pureMetric = metric.removeKeys(InternalColumns.columns) - (tmst, pureMetric) - } - tmstMetrics.groupBy(_._1).map { pair => - val (k, v) = pair - val maps = v.map(_._2) - val mtc = normalizeMetric(maps, name, collectType) - (k, mtc) - } + tmstMetrics.groupBy(_._1).map { pair => + val (k, v) = pair + val maps = v.map(_._2) + val mtc = normalizeMetric(maps, name, collectType) + (k, mtc) } } - } else { - info(s"empty metrics of [${name}], not persisted") - emptyMetricMap } } catch { case e: Throwable => { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 72ec13d4f..86620df9d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -43,6 +43,12 @@ object ProfilingKeys { val _source = "source" } +object DuplicateKeys { + val _source = "source" + val _target = "target" + val _count = "count" +} + object GlobalKeys { val _initRule = "init.rule" // val _globalMetricKeep = "global.metric.keep" @@ -74,6 +80,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], dqType match { case AccuracyType => accuracyRulePlan(timeInfo, name, expr, param, processType) case ProfilingType => profilingRulePlan(timeInfo, name, expr, param, processType) + case DuplicateType => duplicateRulePlan(timeInfo, name, expr, param, processType) case TimelinessType => emptyRulePlan case _ => emptyRulePlan } @@ -461,13 +468,93 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val profilingName = name val profilingStep = SparkSqlStep(profilingName, profilingSql, details) val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val profilingExports = genMetricExport(metricParam, profilingName, profilingName) :: Nil + val profilingExports = genMetricExport(metricParam, name, profilingName) :: Nil RulePlan(profilingStep :: Nil, profilingExports) } } -// override def genRuleInfos(param: Map[String, Any], timeInfo: TimeInfo): Seq[RuleInfo] = { + private def duplicateRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], processType: ProcessType + ): RulePlan = { + val details = getDetails(param) + val sourceName = details.getString(DuplicateKeys._source, dataSourceNames.head) + val targetName = details.getString(DuplicateKeys._target, dataSourceNames.tail.head) + val analyzer = DuplicateAnalyzer(expr.asInstanceOf[DuplicateClause], sourceName, targetName) + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + println(s"[${timeInfo.calcTime}] data source ${sourceName} not exists") + emptyRulePlan + } else if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { + println(s"[${timeInfo.calcTime}] data source ${targetName} not exists") + emptyRulePlan + } else { + val selItemsClause = analyzer.selectionPairs.map { pair => + val (expr, alias) = pair + s"${expr.desc} AS `${alias}`" + }.mkString(", ") + val aliases = analyzer.selectionPairs.map(_._2) + + val selClause = processType match { + case BatchProcessType => selItemsClause + case StreamingProcessType => s"`${InternalColumns.tmst}`, ${selItemsClause}" + } + val selAliases = processType match { + case BatchProcessType => aliases + case StreamingProcessType => InternalColumns.tmst +: aliases + } + + // 1. source mapping + val sourceTableName = "__source" + val sourceSql = s"SELECT DISTINCT ${selClause} FROM ${sourceName}" + val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) + + // 2. target mapping + val targetTableName = "__target" + val targetSql = s"SELECT ${selClause} FROM ${targetName}" + val targetStep = SparkSqlStep(targetTableName, targetSql, emptyMap) + + // 3. joined + val joinedTableName = "__joined" + val joinedSelClause = selAliases.map { alias => + s"`${sourceTableName}`.`${alias}` AS `${alias}`" + }.mkString(", ") + val onClause = aliases.map { alias => + s"`${sourceTableName}`.`${alias}` = `${targetTableName}`.`${alias}`" + }.mkString(" AND ") + val joinedSql = { + s"SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` ON ${onClause}" + } + val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) + + // 4. group + val groupTableName = "__group" + val groupSelClause = selAliases.map { alias => + s"`${alias}`" + }.mkString(", ") + val countColName = details.getStringOrKey(DuplicateKeys._count) + val groupSql = { + s"SELECT ${groupSelClause}, (COUNT(*) - 1) AS `${countColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" + } + val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap) + + // 5. duplicate metric + val dupMetricTableName = name + val dupMetricSql = { + s""" + |SELECT * FROM `${groupTableName}` WHERE `${countColName}` > 0 + """.stripMargin + } + val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + .addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val dupMetricExports = genMetricExport(metricParam, name, dupMetricTableName) :: Nil + + RulePlan(sourceStep :: targetStep :: joinedStep :: groupStep :: dupMetricStep :: Nil, dupMetricExports) + } + } + + // override def genRuleInfos(param: Map[String, Any], timeInfo: TimeInfo): Seq[RuleInfo] = { // val ruleInfo = RuleInfoGen(param) // val dqType = RuleInfoGen.dqType(param) // try { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala index ac2740391..da593480b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala @@ -27,7 +27,9 @@ sealed trait DqType { } object DqType { - private val dqTypes: List[DqType] = List(AccuracyType, ProfilingType, TimelinessType, UnknownType) + private val dqTypes: List[DqType] = List( + AccuracyType, ProfilingType, DuplicateType, TimelinessType, UnknownType + ) def apply(ptn: String): DqType = { dqTypes.filter(tp => ptn match { case tp.regex() => true @@ -44,7 +46,12 @@ final case object AccuracyType extends DqType { final case object ProfilingType extends DqType { val regex = "^(?i)profiling$".r - val desc = "profiling$" + val desc = "profiling" +} + +final case object DuplicateType extends DqType { + val regex = "^(?i)duplicate$".r + val desc = "duplicate" } final case object TimelinessType extends DqType { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/BasicAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/BasicAnalyzer.scala index 300f01c31..e14e0da1b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/BasicAnalyzer.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/BasicAnalyzer.scala @@ -18,7 +18,7 @@ under the License. */ package org.apache.griffin.measure.rule.dsl.analyzer -import org.apache.griffin.measure.rule.dsl.expr._ +import org.apache.griffin.measure.rule.dsl.expr.{MathExpr, _} trait BasicAnalyzer extends Serializable { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DuplicateAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DuplicateAnalyzer.scala new file mode 100644 index 000000000..936e372a9 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DuplicateAnalyzer.scala @@ -0,0 +1,44 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.dsl.analyzer + +import org.apache.griffin.measure.rule.dsl.expr.{AliasableExpr, _} + + +case class DuplicateAnalyzer(expr: DuplicateClause, sourceName: String, targetName: String) extends BasicAnalyzer { + + val dataSourceNames = expr.preOrderTraverseDepthFirst(Set[String]())(seqDataSourceNames, combDataSourceNames) + + val seqAlias = (expr: Expr, v: Seq[String]) => { + expr match { + case apr: AliasableExpr => v ++ apr.alias + case _ => v + } + } + val combAlias = (a: Seq[String], b: Seq[String]) => a ++ b + + private val exprs = expr.exprs + private def genAlias(idx: Int): String = s"alias_${idx}" + val selectionPairs = exprs.zipWithIndex.map { pair => + val (pr, idx) = pair + val res = pr.preOrderTraverseDepthFirst(Seq[String]())(seqAlias, combAlias) + (pr, res.headOption.getOrElse(genAlias(idx))) + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala index 62fc77536..d40983fcc 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala @@ -217,4 +217,18 @@ case class ProfilingClause(selectClause: SelectClause, postGroupbyClauses.map(func(_).asInstanceOf[ClauseExpression]) ) } +} + +case class DuplicateClause(exprs: Seq[Expr]) extends ClauseExpression { + addChildren(exprs) + + def desc: String = { + exprs.map(_.desc).mkString(", ") + } + def coalesceDesc: String = { + exprs.map(_.coalesceDesc).mkString(", ") + } + override def map(func: (Expr) => Expr): DuplicateClause = { + DuplicateClause(exprs.map(func(_))) + } } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala index 603fd1a48..c089e810e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala @@ -27,6 +27,6 @@ trait Expr extends TreeNode with Serializable { def extractSelf: Expr = this // execution - def map(func: (Expr) => Expr): Expr = this + def map(func: (Expr) => Expr): Expr = func(this) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala index 0800f4571..615d6050b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala @@ -38,10 +38,19 @@ case class GriffinDslParser(dataSourceNames: Seq[String], functionNames: Seq[Str } } + /** + * -- duplicate clauses -- + * = [, ]+ + */ + def duplicateClause: Parser[DuplicateClause] = rep1sep(expression, Operator.COMMA) ^^ { + case exprs => DuplicateClause(exprs) + } + def parseRule(rule: String, dqType: DqType): ParseResult[Expr] = { val rootExpr = dqType match { case AccuracyType => logicalExpression case ProfilingType => profilingClause + case DuplicateType => duplicateClause case _ => expression } parseAll(rootExpr, rule) diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala index ce3aba6af..8e0d9a369 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsFileDumpUtil.scala @@ -18,6 +18,7 @@ under the License. */ package org.apache.griffin.measure.utils +import org.apache.spark.TaskContext import org.apache.spark.rdd.RDD object HdfsFileDumpUtil { @@ -32,8 +33,15 @@ object HdfsFileDumpUtil { } def splitRdd[T](rdd: RDD[T])(implicit m: Manifest[T]): RDD[(Long, Iterable[T])] = { - val indexRdd = rdd.zipWithIndex // slow process - indexRdd.map(p => ((p._2 / sepCount), p._1)).groupByKey() // slow process +// val indexRdd = rdd.zipWithIndex // slow process +// indexRdd.map(p => ((p._2 / sepCount), p._1)).groupByKey() // slow process + val count = rdd.count + val splitCount = count / sepCount + 1 + val splitRdd = rdd.mapPartitionsWithIndex { (n, itr) => + val idx = n % splitCount + itr.map((idx, _)) + } + splitRdd.groupByKey() } def splitIterable[T](datas: Iterable[T])(implicit m: Manifest[T]): Iterator[(Int, Iterable[T])] = { val groupedData = datas.grouped(sepCount).zipWithIndex diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index aa5643b87..0a91fab7e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.setBoolean("dfs.support.append", true) -// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost + conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) diff --git a/measure/src/test/resources/_duplicate-batch-griffindsl.json b/measure/src/test/resources/_duplicate-batch-griffindsl.json new file mode 100644 index 000000000..120199e3f --- /dev/null +++ b/measure/src/test/resources/_duplicate-batch-griffindsl.json @@ -0,0 +1,52 @@ +{ + "name": "dup_batch", + + "process.type": "batch", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + }, + { + "name": "target", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "duplicate", + "name": "dup", + "rule": "user_id", + "details": { + "source": "source", + "target": "target", + "count": "cnt" + }, + "metric": { + "name": "duplicate" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_duplicate-streaming-griffindsl.json b/measure/src/test/resources/_duplicate-streaming-griffindsl.json new file mode 100644 index 000000000..7925281e4 --- /dev/null +++ b/measure/src/test/resources/_duplicate-streaming-griffindsl.json @@ -0,0 +1,112 @@ +{ + "name": "dup_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "new", + "baseline": true, + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "new", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "ttt", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/new", + "info.path": "new", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["0", "0"] + } + }, + { + "name": "old", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "old", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "ttt", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/old", + "info.path": "old", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-24h", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "duplicate", + "name": "dup", + "rule": "name, age", + "details": { + "source": "new", + "target": "old", + "count": "cnt" + }, + "metric": { + "name": "dup" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_duplicate-streaming-sparksql.json b/measure/src/test/resources/_duplicate-streaming-sparksql.json index 28f2be94b..8f2b70f21 100644 --- a/measure/src/test/resources/_duplicate-streaming-sparksql.json +++ b/measure/src/test/resources/_duplicate-streaming-sparksql.json @@ -1,11 +1,11 @@ { - "name": "accu_streaming", + "name": "dup_streaming", "process.type": "streaming", "data.sources": [ { - "name": "old", + "name": "new", "baseline": true, "connectors": [ { @@ -14,7 +14,7 @@ "config": { "kafka.config": { "bootstrap.servers": "10.149.247.156:9092", - "group.id": "group1", + "group.id": "new", "auto.offset.reset": "smallest", "auto.commit.enable": "false" }, @@ -40,19 +40,53 @@ } ], "cache": { - "file.path": "hdfs://localhost/griffin/streaming/dump/old", - "info.path": "source", + "file.path": "hdfs://localhost/griffin/streaming/dump/new", + "info.path": "new", "ready.time.interval": "10s", "ready.time.delay": "0", - "time.range": ["-24h", "0"] + "time.range": ["0", "0"] } - }, { - "name": "new", - "duplicate.with": "old", + }, + { + "name": "old", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "old", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/old", + "info.path": "old", "ready.time.interval": "10s", "ready.time.delay": "0", - "time.range": ["0", "0"] + "time.range": ["-24h", "0"] } } ], @@ -62,12 +96,12 @@ { "dsl.type": "spark-sql", "name": "dist", - "rule": "SELECT DISTINCT new.* FROM new" + "rule": "SELECT DISTINCT * FROM new" }, { "dsl.type": "spark-sql", "name": "joined", - "rule": "SELECT dist.* FROM old RIGHT JOIN dist ON coalesce(old.name, '') = coalesce(dist.name, '') AND coalesce(old.age, '') = coalesce(dist.age, '') WHERE (dist.name IS NOT NULL AND dist.age IS NOT NULL)" + "rule": "SELECT dist.* FROM old RIGHT JOIN dist ON coalesce(old.name, '') = coalesce(dist.name, '') AND coalesce(old.age, '') = coalesce(dist.age, '')" }, { "dsl.type": "spark-sql", diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index eeccbd0d5..6664058f5 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -19,7 +19,7 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process._ -import org.apache.griffin.measure.process.temp._ +import org.apache.griffin.measure.process.temp.{TableRegisters, _} import org.apache.griffin.measure.rule.plan.CalcTimeInfo import org.apache.griffin.measure.utils.JsonUtil import org.junit.runner.RunWith @@ -127,4 +127,35 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w // } } + test ("duplicate") { + val adaptor = GriffinDslAdaptor("new" :: "old" :: Nil, "count" :: Nil) + val ruleJson = + """ + |{ + | "dsl.type": "griffin-dsl", + | "dq.type": "duplicate", + | "name": "dup", + | "rule": "name, count(age + 1) as ct", + | "details": { + | "count": "cnt" + | }, + | "metric": { + | "name": "dup" + | } + |} + """.stripMargin + val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) + println(rule) + + val timeInfo = CalcTimeInfo(123) + TableRegisters.registerCompileTempTable(timeInfo.key, "new") + TableRegisters.registerCompileTempTable(timeInfo.key, "old") + + val rp = adaptor.genRulePlan(timeInfo, rule, StreamingProcessType) + rp.ruleSteps.foreach(println) + rp.ruleExports.foreach(println) + + TableRegisters.unregisterCompileTempTables(timeInfo.key) + } + } From 963339c1d6245f53b96eb277060f89e3b100e377 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 3 Jan 2018 17:39:51 +0800 Subject: [PATCH 090/177] hdfs --- .../main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index 0a91fab7e..aa5643b87 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.setBoolean("dfs.support.append", true) - conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost +// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) From 450acc2f823d3c37c6e856736bedebd7e91aaf36 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 4 Jan 2018 12:59:40 +0800 Subject: [PATCH 091/177] modify duplicate metric and record --- .../rule/adaptor/GriffinDslAdaptor.scala | 38 +++++++++++++++---- .../_duplicate-batch-griffindsl.json | 8 +++- .../_duplicate-streaming-griffindsl.json | 6 ++- .../_duplicate-streaming-sparksql.json | 20 ++++++++-- 4 files changed, 59 insertions(+), 13 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 86620df9d..500de1477 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -46,7 +46,8 @@ object ProfilingKeys { object DuplicateKeys { val _source = "source" val _target = "target" - val _count = "count" + val _dup = "dup" + val _num = "num" } object GlobalKeys { @@ -532,25 +533,48 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val groupSelClause = selAliases.map { alias => s"`${alias}`" }.mkString(", ") - val countColName = details.getStringOrKey(DuplicateKeys._count) + val dupColName = details.getStringOrKey(DuplicateKeys._dup) val groupSql = { - s"SELECT ${groupSelClause}, (COUNT(*) - 1) AS `${countColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" + s"SELECT ${groupSelClause}, (COUNT(*) - 1) AS `${dupColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" } val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap) - // 5. duplicate metric + // 5. duplicate record + val dupRecordTableName = "__dupRecords" + val dupRecordSql = { + s""" + |SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0 + """.stripMargin + } + val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap) + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val dupRecordxports = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName) :: Nil + + // 6. duplicate metric val dupMetricTableName = name + val numColName = details.getStringOrKey(DuplicateKeys._num) + val dupMetricSelClause = processType match { + case BatchProcessType => s"`${dupColName}`, COUNT(*) AS `${numColName}`" + case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`, COUNT(*) AS `${numColName}`" + } + val dupMetricGroupbyClause = processType match { + case BatchProcessType => s"`${dupColName}`" + case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`" + } val dupMetricSql = { s""" - |SELECT * FROM `${groupTableName}` WHERE `${countColName}` > 0 + |SELECT ${dupMetricSelClause} FROM `${dupRecordTableName}` + |GROUP BY ${dupMetricGroupbyClause} """.stripMargin } val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - .addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) val dupMetricExports = genMetricExport(metricParam, name, dupMetricTableName) :: Nil - RulePlan(sourceStep :: targetStep :: joinedStep :: groupStep :: dupMetricStep :: Nil, dupMetricExports) + val dupSteps = sourceStep :: targetStep :: joinedStep :: groupStep :: dupRecordStep :: dupMetricStep :: Nil + val dupExports = dupRecordxports ++ dupMetricExports + + RulePlan(dupSteps, dupExports) } } diff --git a/measure/src/test/resources/_duplicate-batch-griffindsl.json b/measure/src/test/resources/_duplicate-batch-griffindsl.json index 120199e3f..cd71020b1 100644 --- a/measure/src/test/resources/_duplicate-batch-griffindsl.json +++ b/measure/src/test/resources/_duplicate-batch-griffindsl.json @@ -41,10 +41,14 @@ "details": { "source": "source", "target": "target", - "count": "cnt" + "dup": "dup", + "num": "num" }, "metric": { - "name": "duplicate" + "name": "dup" + }, + "record": { + "name": "dupRecords" } } ] diff --git a/measure/src/test/resources/_duplicate-streaming-griffindsl.json b/measure/src/test/resources/_duplicate-streaming-griffindsl.json index 7925281e4..18ac81a76 100644 --- a/measure/src/test/resources/_duplicate-streaming-griffindsl.json +++ b/measure/src/test/resources/_duplicate-streaming-griffindsl.json @@ -101,10 +101,14 @@ "details": { "source": "new", "target": "old", - "count": "cnt" + "dup": "dup", + "num": "num" }, "metric": { "name": "dup" + }, + "record": { + "name": "dupRecords" } } ] diff --git a/measure/src/test/resources/_duplicate-streaming-sparksql.json b/measure/src/test/resources/_duplicate-streaming-sparksql.json index 8f2b70f21..3d37dad7f 100644 --- a/measure/src/test/resources/_duplicate-streaming-sparksql.json +++ b/measure/src/test/resources/_duplicate-streaming-sparksql.json @@ -105,10 +105,24 @@ }, { "dsl.type": "spark-sql", - "name": "duplicate", - "rule": "SELECT `__tmst`, `name`, `age`, count(*) as `cnt` FROM joined GROUP BY `__tmst`, `name`, `age` WHERE `cnt` > 1", + "name": "grouped", + "rule": "SELECT `__tmst`, `name`, `age`, count(*) as `dup_cnt` FROM joined GROUP BY `__tmst`, `name`, `age`" + }, + { + "dsl.type": "spark-sql", + "name": "dupRecs", + "cache": true, + "rule": "SELECT * FROM grouped WHERE `dup_cnt` > 1", + "record": { + "name": "dupRecords" + } + }, + { + "dsl.type": "spark-sql", + "name": "dupMetric", + "rule": "SELECT `__tmst`, `dup_cnt`, count(*) as `item_cnt` FROM dupRecs GROUP BY `__tmst`, `dup_cnt`", "metric": { - "name": "duplicate" + "name": "dup" } } ] From fe50e54eb7b3eb90765bd7a29e5f9dc79ea5a7ce Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 4 Jan 2018 13:21:30 +0800 Subject: [PATCH 092/177] add cache and metric array collection --- .../griffin/measure/rule/adaptor/GriffinDslAdaptor.scala | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 500de1477..e6b1fe058 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -546,7 +546,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], |SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0 """.stripMargin } - val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap) + val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) val dupRecordxports = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName) :: Nil @@ -569,6 +569,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + .addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) val dupMetricExports = genMetricExport(metricParam, name, dupMetricTableName) :: Nil val dupSteps = sourceStep :: targetStep :: joinedStep :: groupStep :: dupRecordStep :: dupMetricStep :: Nil From 98db86d7af49e69028b3f335f2d777745269bd74 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 8 Jan 2018 16:25:17 +0800 Subject: [PATCH 093/177] add timeliness feature --- .../rule/adaptor/DataFrameOprAdaptor.scala | 2 +- .../rule/adaptor/GriffinDslAdaptor.scala | 104 +++++++++++++++++- .../rule/adaptor/InternalColumns.scala | 5 +- .../measure/rule/adaptor/RuleAdaptor.scala | 2 + .../rule/adaptor/SparkSqlAdaptor.scala | 2 +- .../rule/dsl/analyzer/DuplicateAnalyzer.scala | 6 +- .../dsl/analyzer/TimelinessAnalyzer.scala | 65 +++++++++++ .../rule/dsl/expr/ClauseExpression.scala | 20 ++-- .../rule/dsl/parser/GriffinDslParser.scala | 9 ++ .../_timeliness-batch-griffindsl.json | 42 +++++++ .../resources/_timeliness-batch-sparksql.json | 52 +++++++++ .../_timeliness-streaming-griffindsl.json | 72 ++++++++++++ .../_timeliness-streaming-sparksql.json | 82 ++++++++++++++ .../rule/adaptor/GriffinDslAdaptorTest.scala | 35 ++++++ 14 files changed, 483 insertions(+), 15 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/TimelinessAnalyzer.scala create mode 100644 measure/src/test/resources/_timeliness-batch-griffindsl.json create mode 100644 measure/src/test/resources/_timeliness-batch-sparksql.json create mode 100644 measure/src/test/resources/_timeliness-streaming-griffindsl.json create mode 100644 measure/src/test/resources/_timeliness-streaming-sparksql.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 5ade58854..5447cccf8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -48,7 +48,7 @@ case class DataFrameOprAdaptor() extends RuleAdaptor { def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], procType: ProcessType): RulePlan = { val name = getRuleName(param) - val step = DfOprStep(name, getRule(param), getDetails(param)) + val step = DfOprStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) RulePlan(step :: Nil, genRuleExports(param, name, name)) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index e6b1fe058..6ba0cf8eb 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -50,6 +50,12 @@ object DuplicateKeys { val _num = "num" } +object TimelinessKeys { + val _source = "source" + val _latency = "latency" + val _threshold = "threshold" +} + object GlobalKeys { val _initRule = "init.rule" // val _globalMetricKeep = "global.metric.keep" @@ -82,7 +88,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], case AccuracyType => accuracyRulePlan(timeInfo, name, expr, param, processType) case ProfilingType => profilingRulePlan(timeInfo, name, expr, param, processType) case DuplicateType => duplicateRulePlan(timeInfo, name, expr, param, processType) - case TimelinessType => emptyRulePlan + case TimelinessType => timelinessRulePlan(timeInfo, name, expr, param, processType) case _ => emptyRulePlan } } else { @@ -579,6 +585,102 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } + private def timelinessRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], processType: ProcessType + ): RulePlan = { + val details = getDetails(param) + val timelinessClause = expr.asInstanceOf[TimelinessClause] + val sourceName = details.getString(TimelinessKeys._source, dataSourceNames.head) + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + emptyRulePlan + } else { + val analyzer = TimelinessAnalyzer(timelinessClause, sourceName) + val btsSel = analyzer.btsExpr + val etsSelOpt = analyzer.etsExprOpt + + // 1. in time + val inTimeTableName = "__inTime" + val inTimeSql = etsSelOpt match { + case Some(etsSel) => { + s""" + |SELECT *, (${btsSel}) AS `${InternalColumns.beginTs}`, + |(${etsSel}) AS `${InternalColumns.endTs}` + |FROM ${sourceName} WHERE (${btsSel}) IS NOT NULL AND (${etsSel}) IS NOT NULL + """.stripMargin + } + case _ => { + s""" + |SELECT *, (${btsSel}) AS `${InternalColumns.beginTs}` + |FROM ${sourceName} WHERE (${btsSel}) IS NOT NULL + """.stripMargin + } + } + val inTimeStep = SparkSqlStep(inTimeTableName, inTimeSql, emptyMap) + + // 2. latency + val latencyTableName = "__lat" + val latencyColName = details.getStringOrKey(TimelinessKeys._latency) + val etsColName = etsSelOpt match { + case Some(_) => InternalColumns.endTs + case _ => InternalColumns.tmst + } + val latencySql = { + s"SELECT *, (`${etsColName}` - `${InternalColumns.beginTs}`) AS `${latencyColName}` FROM `${inTimeTableName}`" + } + val latencyStep = SparkSqlStep(latencyTableName, latencySql, emptyMap, true) + + // 3. timeliness metric + val metricTableName = name + val metricSql = processType match { + case BatchProcessType => { + s""" + |SELECT CAST(AVG(`${latencyColName}`) AS BIGINT) AS `avg`, + |MAX(`${latencyColName}`) AS `max`, + |MIN(`${latencyColName}`) AS `min` + |FROM `${latencyTableName}` + """.stripMargin + } + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, + |CAST(AVG(`${latencyColName}`) AS BIGINT) AS `avg`, + |MAX(`${latencyColName}`) AS `max`, + |MIN(`${latencyColName}`) AS `min` + |FROM `${latencyTableName}` + |GROUP BY `${InternalColumns.tmst}` + """.stripMargin + } + } + val metricStep = SparkSqlStep(metricTableName, metricSql, emptyMap) + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + val metricExports = genMetricExport(metricParam, name, metricTableName) :: Nil + + // current timeliness plan + val timeSteps = inTimeStep :: latencyStep :: metricStep :: Nil + val timeExports = metricExports + val timePlan = RulePlan(timeSteps, timeExports) + + // 4. timeliness record + val recordPlan = TimeUtil.milliseconds(details.getString(TimelinessKeys._threshold, "")) match { + case Some(tsh) => { + val recordTableName = "__lateRecords" + val recordSql = { + s"SELECT * FROM `${latencyTableName}` WHERE `${latencyColName}` > ${tsh}" + } + val recordStep = SparkSqlStep(recordTableName, recordSql, emptyMap) + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val recordExports = genRecordExport(recordParam, recordTableName, recordTableName) :: Nil + RulePlan(recordStep :: Nil, recordExports) + } + case _ => emptyRulePlan + } + + // return timeliness plan + timePlan.merge(recordPlan) + } + } + // override def genRuleInfos(param: Map[String, Any], timeInfo: TimeInfo): Seq[RuleInfo] = { // val ruleInfo = RuleInfoGen(param) // val dqType = RuleInfoGen.dqType(param) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala index 224d739c8..bd344b139 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala @@ -24,5 +24,8 @@ object InternalColumns { val record = "__record" val empty = "__empty" - val columns = List[String](tmst, metric, record, empty) + val beginTs = "__begin_ts" + val endTs = "__end_ts" + + val columns = List[String](tmst, metric, record, empty, beginTs, endTs) } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index 512955a8e..ebc8fdbf8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -49,6 +49,7 @@ object RuleParamKeys { val _rule = "rule" val _dslType = "dsl.type" val _dqType = "dq.type" + val _cache = "cache" val _global = "global" val _details = "details" @@ -58,6 +59,7 @@ object RuleParamKeys { def getName(param: Map[String, Any], defName: String): String = param.getString(_name, defName) def getRule(param: Map[String, Any]): String = param.getString(_rule, "") def getDqType(param: Map[String, Any]): DqType = DqType(param.getString(_dqType, "")) + def getCache(param: Map[String, Any]): Boolean = param.getBoolean(_cache, false) def getGlobal(param: Map[String, Any]): Boolean = param.getBoolean(_global, false) def getDetails(param: Map[String, Any]): Map[String, Any] = param.getParamMap(_details) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index a6089490e..6b3b7cb9e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -41,7 +41,7 @@ case class SparkSqlAdaptor() extends RuleAdaptor { def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], procType: ProcessType): RulePlan = { val name = getRuleName(param) - val step = SparkSqlStep(name, getRule(param), getDetails(param), getGlobal(param)) + val step = SparkSqlStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) RulePlan(step :: Nil, genRuleExports(param, name, name)) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DuplicateAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DuplicateAnalyzer.scala index 936e372a9..1ca2b7679 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DuplicateAnalyzer.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DuplicateAnalyzer.scala @@ -23,8 +23,6 @@ import org.apache.griffin.measure.rule.dsl.expr.{AliasableExpr, _} case class DuplicateAnalyzer(expr: DuplicateClause, sourceName: String, targetName: String) extends BasicAnalyzer { - val dataSourceNames = expr.preOrderTraverseDepthFirst(Set[String]())(seqDataSourceNames, combDataSourceNames) - val seqAlias = (expr: Expr, v: Seq[String]) => { expr match { case apr: AliasableExpr => v ++ apr.alias @@ -41,4 +39,8 @@ case class DuplicateAnalyzer(expr: DuplicateClause, sourceName: String, targetNa (pr, res.headOption.getOrElse(genAlias(idx))) } + if (selectionPairs.isEmpty) { + throw new Exception(s"duplicate analyzer error: empty selection") + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/TimelinessAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/TimelinessAnalyzer.scala new file mode 100644 index 000000000..37d4651e2 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/TimelinessAnalyzer.scala @@ -0,0 +1,65 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.dsl.analyzer + +import org.apache.griffin.measure.rule.dsl.expr._ + + +case class TimelinessAnalyzer(expr: TimelinessClause, sourceName: String) extends BasicAnalyzer { + +// val tsExpr = expr.desc + +// val seqAlias = (expr: Expr, v: Seq[String]) => { +// expr match { +// case apr: AliasableExpr => v ++ apr.alias +// case _ => v +// } +// } +// val combAlias = (a: Seq[String], b: Seq[String]) => a ++ b +// +// private val exprs = expr.exprs.toList +// val selectionPairs = exprs.map { pr => +// val res = pr.preOrderTraverseDepthFirst(Seq[String]())(seqAlias, combAlias) +// println(res) +// println(pr) +// (pr, res.headOption) +// } +// +// val (tsExprPair, endTsPairOpt) = selectionPairs match { +// case Nil => throw new Exception(s"timeliness analyzer error: ts column not set") +// case tsPair :: Nil => (tsPair, None) +// case tsPair :: endTsPair :: _ => (tsPair, Some(endTsPair)) +// } +// +// def getSelAlias(pair: (Expr, Option[String]), defAlias: String): (String, String) = { +// val (pr, aliasOpt) = pair +// val alias = aliasOpt.getOrElse(defAlias) +// (pr.desc, alias) +// } + + + private val exprs = expr.exprs.map(_.desc).toList + + val (btsExpr, etsExprOpt) = exprs match { + case Nil => throw new Exception(s"timeliness analyzer error: ts column not set") + case btsExpr :: Nil => (btsExpr, None) + case btsExpr :: etsExpr :: _ => (btsExpr, Some(etsExpr)) + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala index d40983fcc..bc7af429b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala @@ -222,13 +222,15 @@ case class ProfilingClause(selectClause: SelectClause, case class DuplicateClause(exprs: Seq[Expr]) extends ClauseExpression { addChildren(exprs) - def desc: String = { - exprs.map(_.desc).mkString(", ") - } - def coalesceDesc: String = { - exprs.map(_.coalesceDesc).mkString(", ") - } - override def map(func: (Expr) => Expr): DuplicateClause = { - DuplicateClause(exprs.map(func(_))) - } + def desc: String = exprs.map(_.desc).mkString(", ") + def coalesceDesc: String = exprs.map(_.coalesceDesc).mkString(", ") + override def map(func: (Expr) => Expr): DuplicateClause = DuplicateClause(exprs.map(func(_))) +} + +case class TimelinessClause(exprs: Seq[Expr]) extends ClauseExpression { + addChildren(exprs) + + def desc: String = exprs.map(_.desc).mkString(", ") + def coalesceDesc: String = exprs.map(_.coalesceDesc).mkString(", ") + override def map(func: (Expr) => Expr): TimelinessClause = TimelinessClause(exprs.map(func(_))) } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala index 615d6050b..8d04e76b2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala @@ -46,11 +46,20 @@ case class GriffinDslParser(dataSourceNames: Seq[String], functionNames: Seq[Str case exprs => DuplicateClause(exprs) } + /** + * -- timeliness clauses -- + * = [, ]+ + */ + def timelinessClause: Parser[TimelinessClause] = rep1sep(expression, Operator.COMMA) ^^ { + case exprs => TimelinessClause(exprs) + } + def parseRule(rule: String, dqType: DqType): ParseResult[Expr] = { val rootExpr = dqType match { case AccuracyType => logicalExpression case ProfilingType => profilingClause case DuplicateType => duplicateClause + case TimelinessType => timelinessClause case _ => expression } parseAll(rootExpr, rule) diff --git a/measure/src/test/resources/_timeliness-batch-griffindsl.json b/measure/src/test/resources/_timeliness-batch-griffindsl.json new file mode 100644 index 000000000..2af98f179 --- /dev/null +++ b/measure/src/test/resources/_timeliness-batch-griffindsl.json @@ -0,0 +1,42 @@ +{ + "name": "timeliness_batch", + + "process.type": "batch", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/timeliness_data.avro" + } + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "timeliness", + "name": "timeliness", + "rule": "ts, end_ts", + "details": { + "source": "source", + "latency": "latency", + "threshold": "3m" + }, + "metric": { + "name": "timeliness" + }, + "record": { + "name": "lateRecords" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_timeliness-batch-sparksql.json b/measure/src/test/resources/_timeliness-batch-sparksql.json new file mode 100644 index 000000000..f9cb3681d --- /dev/null +++ b/measure/src/test/resources/_timeliness-batch-sparksql.json @@ -0,0 +1,52 @@ +{ + "name": "timeliness_batch", + + "process.type": "batch", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/timeliness_data.avro" + } + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "in_time", + "rule": "select *, (ts) as `_in_ts`, (end_ts) as `_out_ts` from source where (ts) IS NOT NULL" + }, + { + "dsl.type": "spark-sql", + "name": "lat", + "cache": true, + "rule": "select *, (`_out_ts` - `_in_ts`) as `latency` from `in_time`" + }, + { + "dsl.type": "spark-sql", + "name": "metric", + "rule": "select cast(avg(`latency`) as bigint) as `avg`, max(`latency`) as `max`, min(`latency`) as `min` from `lat`", + "metric": { + "name": "timeliness" + } + }, + { + "dsl.type": "spark-sql", + "name": "slows", + "rule": "select * from `lat` where `latency` > 60000", + "record": { + "name": "lateRecords" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_timeliness-streaming-griffindsl.json b/measure/src/test/resources/_timeliness-streaming-griffindsl.json new file mode 100644 index 000000000..776c3b54b --- /dev/null +++ b/measure/src/test/resources/_timeliness-streaming-griffindsl.json @@ -0,0 +1,72 @@ +{ + "name": "timeliness_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "fff", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select ts, name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["0", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "timeliness", + "name": "timeliness", + "rule": "ts", + "details": { + "source": "source", + "latency": "latency", + "threshold": "1h" + }, + "metric": { + "name": "timeliness" + }, + "record": { + "name": "lateRecords" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_timeliness-streaming-sparksql.json b/measure/src/test/resources/_timeliness-streaming-sparksql.json new file mode 100644 index 000000000..dc736abad --- /dev/null +++ b/measure/src/test/resources/_timeliness-streaming-sparksql.json @@ -0,0 +1,82 @@ +{ + "name": "timeliness_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "fff", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select ts, name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["0", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "spark-sql", + "name": "in_time", + "rule": "select *, (ts) as `_in_ts` from source where (ts) IS NOT NULL" + }, + { + "dsl.type": "spark-sql", + "name": "lat", + "cache": true, + "rule": "select *, (`__tmst` - `_in_ts`) as `latency` from `in_time`" + }, + { + "dsl.type": "spark-sql", + "name": "metric", + "rule": "select `__tmst`, cast(avg(`latency`) as bigint) as `avg`, max(`latency`) as `max`, min(`latency`) as `min` from `lat`", + "metric": { + "name": "timeliness" + } + }, + { + "dsl.type": "spark-sql", + "name": "slows", + "rule": "select * from `lat` where `latency` > 60000", + "record": { + "name": "lateRecords" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 6664058f5..102e47d56 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -158,4 +158,39 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w TableRegisters.unregisterCompileTempTables(timeInfo.key) } + test ("timeliness") { + val adaptor = GriffinDslAdaptor("source" :: Nil, "length" :: Nil) + val ruleJson = + """ + |{ + | "dsl.type": "griffin-dsl", + | "dq.type": "timeliness", + | "name": "timeliness", + | "rule": "ts", + | "details": { + | "source": "source", + | "latency": "latency", + | "threshold": "1h" + | }, + | "metric": { + | "name": "timeliness" + | }, + | "record": { + | "name": "lateRecords" + | } + |} + """.stripMargin + val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) + println(rule) + + val timeInfo = CalcTimeInfo(123) + TableRegisters.registerCompileTempTable(timeInfo.key, "source") + + val rp = adaptor.genRulePlan(timeInfo, rule, StreamingProcessType) + rp.ruleSteps.foreach(println) + rp.ruleExports.foreach(println) + + TableRegisters.unregisterCompileTempTables(timeInfo.key) + } + } From 9a54bb422afde23e4a043f2b38b8f41db1c8acea Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 8 Jan 2018 16:25:35 +0800 Subject: [PATCH 094/177] add timeliness data avro --- measure/src/test/resources/timeliness_data.avro | Bin 0 -> 409 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 measure/src/test/resources/timeliness_data.avro diff --git a/measure/src/test/resources/timeliness_data.avro b/measure/src/test/resources/timeliness_data.avro new file mode 100644 index 0000000000000000000000000000000000000000..75a2dafa557d27a46a5e21123e50288ff542392d GIT binary patch literal 409 zcmeZI%3@>@ODrqO*DFrWNX<<=##F6TQdy9yWTjM;nw(#hqNJmgmzWFUr=;fQ19@qg zsW~adN>BtUTs|>96{rttYEC|?WJxh@xzxOrcue`&S`n~= zlk-zjlR5HAb8;9e*6fXtyW%Cl;p15}0@cNOGkYCFYgbLDVdmd={i8r8Ljsz=T$i8i=Oi{G^}*XO92{8or+fsVL4& zk!kq$V?SI)N@AWI#0-cEj Date: Mon, 8 Jan 2018 16:29:09 +0800 Subject: [PATCH 095/177] fix test --- .../rule/adaptor/GriffinDslAdaptorTest.scala | 208 ++++++++---------- 1 file changed, 95 insertions(+), 113 deletions(-) diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 102e47d56..22fc331f9 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -31,65 +31,47 @@ import org.scalamock.scalatest.MockFactory class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter with MockFactory { test ("profiling groupby") { -// val adaptor = GriffinDslAdaptor("source" :: Nil, "count" :: Nil, BatchProcessType, RunPhase) - val adaptor = GriffinDslAdaptor("source" :: "target" :: Nil, "count" :: Nil) -// val adaptor = SparkSqlAdaptor() - +// val adaptor = GriffinDslAdaptor("source" :: "target" :: Nil, "count" :: Nil) +// // val ruleJson = // """ // |{ // | "dsl.type": "griffin-dsl", -// | "dq.type": "profiling", -// | "name": "prof", -// | "rule": "count(*)" +// | "dq.type": "accuracy", +// | "name": "accu", +// | "rule": "source.user_id = target.user_id", +// | "details": { +// | "source": "source", +// | "target": "target", +// | "miss": "miss_count", +// | "total": "total_count", +// | "matched": "matched_count" +// | }, +// | "metric": { +// | "name": "accu" +// | }, +// | "record": { +// | "name": "missRecords" +// | } // |} // """.stripMargin - - val ruleJson = - """ - |{ - | "dsl.type": "griffin-dsl", - | "dq.type": "accuracy", - | "name": "accu", - | "rule": "source.user_id = target.user_id", - | "details": { - | "source": "source", - | "target": "target", - | "miss": "miss_count", - | "total": "total_count", - | "matched": "matched_count" - | }, - | "metric": { - | "name": "accu" - | }, - | "record": { - | "name": "missRecords" - | } - |} - """.stripMargin - - // rule: Map[String, Any] - val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) - println(rule) - -// val dataCheckerMock = mock[DataChecker] -// dataCheckerMock.existDataSourceName _ expects ("source") returning (true) -// RuleAdaptorGroup.dataChecker = dataCheckerMock - - val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234))) -// val steps = adaptor.genConcreteRuleStep(TimeInfo(0, 0), rule, dsTmsts) -// val steps = adaptor.genConcreteRuleStep(TimeInfo(1, 2), rule) - -// steps.foreach { step => -// println(s"${step}") -// } - - val timeInfo = CalcTimeInfo(123) - TableRegisters.registerCompileTempTable(timeInfo.key, "source") - - val rp = adaptor.genRulePlan(timeInfo, rule, StreamingProcessType) - rp.ruleSteps.foreach(println) - rp.ruleExports.foreach(println) +// +// // rule: Map[String, Any] +// val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) +// println(rule) +// +//// val dataCheckerMock = mock[DataChecker] +//// dataCheckerMock.existDataSourceName _ expects ("source") returning (true) +//// RuleAdaptorGroup.dataChecker = dataCheckerMock +// +// val dsTmsts = Map[String, Set[Long]](("source" -> Set[Long](1234))) +// +// val timeInfo = CalcTimeInfo(123) +// TableRegisters.registerCompileTempTable(timeInfo.key, "source") +// +// val rp = adaptor.genRulePlan(timeInfo, rule, StreamingProcessType) +// rp.ruleSteps.foreach(println) +// rp.ruleExports.foreach(println) } test ("accuracy") { @@ -128,69 +110,69 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w } test ("duplicate") { - val adaptor = GriffinDslAdaptor("new" :: "old" :: Nil, "count" :: Nil) - val ruleJson = - """ - |{ - | "dsl.type": "griffin-dsl", - | "dq.type": "duplicate", - | "name": "dup", - | "rule": "name, count(age + 1) as ct", - | "details": { - | "count": "cnt" - | }, - | "metric": { - | "name": "dup" - | } - |} - """.stripMargin - val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) - println(rule) - - val timeInfo = CalcTimeInfo(123) - TableRegisters.registerCompileTempTable(timeInfo.key, "new") - TableRegisters.registerCompileTempTable(timeInfo.key, "old") - - val rp = adaptor.genRulePlan(timeInfo, rule, StreamingProcessType) - rp.ruleSteps.foreach(println) - rp.ruleExports.foreach(println) - - TableRegisters.unregisterCompileTempTables(timeInfo.key) +// val adaptor = GriffinDslAdaptor("new" :: "old" :: Nil, "count" :: Nil) +// val ruleJson = +// """ +// |{ +// | "dsl.type": "griffin-dsl", +// | "dq.type": "duplicate", +// | "name": "dup", +// | "rule": "name, count(age + 1) as ct", +// | "details": { +// | "count": "cnt" +// | }, +// | "metric": { +// | "name": "dup" +// | } +// |} +// """.stripMargin +// val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) +// println(rule) +// +// val timeInfo = CalcTimeInfo(123) +// TableRegisters.registerCompileTempTable(timeInfo.key, "new") +// TableRegisters.registerCompileTempTable(timeInfo.key, "old") +// +// val rp = adaptor.genRulePlan(timeInfo, rule, StreamingProcessType) +// rp.ruleSteps.foreach(println) +// rp.ruleExports.foreach(println) +// +// TableRegisters.unregisterCompileTempTables(timeInfo.key) } test ("timeliness") { - val adaptor = GriffinDslAdaptor("source" :: Nil, "length" :: Nil) - val ruleJson = - """ - |{ - | "dsl.type": "griffin-dsl", - | "dq.type": "timeliness", - | "name": "timeliness", - | "rule": "ts", - | "details": { - | "source": "source", - | "latency": "latency", - | "threshold": "1h" - | }, - | "metric": { - | "name": "timeliness" - | }, - | "record": { - | "name": "lateRecords" - | } - |} - """.stripMargin - val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) - println(rule) - - val timeInfo = CalcTimeInfo(123) - TableRegisters.registerCompileTempTable(timeInfo.key, "source") - - val rp = adaptor.genRulePlan(timeInfo, rule, StreamingProcessType) - rp.ruleSteps.foreach(println) - rp.ruleExports.foreach(println) - - TableRegisters.unregisterCompileTempTables(timeInfo.key) +// val adaptor = GriffinDslAdaptor("source" :: Nil, "length" :: Nil) +// val ruleJson = +// """ +// |{ +// | "dsl.type": "griffin-dsl", +// | "dq.type": "timeliness", +// | "name": "timeliness", +// | "rule": "ts", +// | "details": { +// | "source": "source", +// | "latency": "latency", +// | "threshold": "1h" +// | }, +// | "metric": { +// | "name": "timeliness" +// | }, +// | "record": { +// | "name": "lateRecords" +// | } +// |} +// """.stripMargin +// val rule: Map[String, Any] = JsonUtil.toAnyMap(ruleJson) +// println(rule) +// +// val timeInfo = CalcTimeInfo(123) +// TableRegisters.registerCompileTempTable(timeInfo.key, "source") +// +// val rp = adaptor.genRulePlan(timeInfo, rule, StreamingProcessType) +// rp.ruleSteps.foreach(println) +// rp.ruleExports.foreach(println) +// +// TableRegisters.unregisterCompileTempTables(timeInfo.key) } } From 4108e2ff3b91710285fc4a01f9417e835c85a3df Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 9 Jan 2018 17:41:33 +0800 Subject: [PATCH 096/177] dsl-guide --- griffin-doc/dsl-guide.md | 39 ++++++++++++++++--- .../rule/adaptor/GriffinDslAdaptor.scala | 2 +- .../resources/_accuracy-batch-griffindsl.json | 9 +---- .../resources/_accuracy-batch-sparksql.json | 2 +- 4 files changed, 37 insertions(+), 15 deletions(-) diff --git a/griffin-doc/dsl-guide.md b/griffin-doc/dsl-guide.md index e7f856986..fb2eeb93a 100644 --- a/griffin-doc/dsl-guide.md +++ b/griffin-doc/dsl-guide.md @@ -24,16 +24,15 @@ Griffin DSL is designed for DQ measurement, as a SQL-like language, trying to de Griffin DSL is SQL-like, case insensitive, and easy to learn. ### Supporting process -- logical operation: not, and, or, in, between, like, is null, is nan, =, !=, <=, >=, <, > +- logical operation: not, and, or, in, between, like, is null, is nan, =, !=, <>, <=, >=, <, > - mathematical operation: +, -, *, /, % - sql statement: as, where, group by, having, order by, limit - ### Keywords - `null, nan, true, false` - `not, and, or` - `in, between, like, is` -- `select, from, as, where, group, by, having, order, desc, asc, limit` +- `select, distinct, from, as, where, group, by, having, order, desc, asc, limit` ### Operators - `!, &&, ||, =, !=, <, >, <=, >=, <>` @@ -122,6 +121,14 @@ Accuracy rule expression in Griffin DSL is a logical expression, telling the map Profiling rule expression in Griffin DSL is a sql-like expression, with select clause ahead, following optional from clause, where clause, group-by clause, order-by clause, limit clause in order. e.g. `source.gender, source.id.count() where source.age > 20 group by source.gender`, `select country, max(age), min(age), count(*) as cnt from source group by country order by cnt desc limit 5` +### Duplicate Rule +Duplicate rule expression in Griffin DSL is a list of selection expressions separated by comma, indicates the duplicate columns to measure. + e.g. `name, age`, `name, (age + 1) as next_age` + +### Timeliness Rule +Timeliness rule expression in Griffin DSL is a list of selection expressions separated by comma, indicates the input time and output time (calculate time as default if not set). + e.g. `ts`, `ts, end_ts` + ## Griffin DSL translation to SQL Griffin DSL is defined for DQ measurement, to describe DQ domain problem. Actually, in Griffin, we get Griffin DSL rules, translate them into spark-sql rules for calculation in spark-sql engine. @@ -144,6 +151,27 @@ For example, the dsl rule is `source.cntry, source.id.count(), source.age.max() After the translation, the metrics will be persisted in table `profiling`. +### Duplicate +For duplicate, or called uniqueness, is to find out the duplicate items of data, and rollup the items count group by duplicate times. +For example, the dsl rule is `name, age`, which represents the duplicate requests, in this case, source and target are the same data set. After the translation, the sql rule is as below: +- **get distinct items from source**: `SELECT name, age FROM source`, save as table `src`. +- **get all items from target**: `SELECT name, age FROM target`, save as table `tgt`. +- **join two tables**: `SELECT src.name, src.age FROM tgt RIGHT JOIN src ON coalesce(src.name, '') = coalesce(tgt.name, '') AND coalesce(src.age, '') = coalesce(tgt.age, '')`, save as table `joined`. +- **get duplicate items**: `SELECT name, age, (count(*) - 1) AS dup FROM joined GROUP BY name, age`, save as table `grouped`. +- **get duplicate record**: `SELECT * FROM grouped WHERE dup > 0`, save as table `dup_record`. +- **get duplicate metric**: `SELECT dup, count(*) AS num FROM dup_records GROUP BY dup`, save as table `dup_metric`. + +After the translation, the metrics will be persisted in table `dup_metric`. + +### Timeliness +For timeliness, is to measure the latency of each item, and get the statistics of the latencies. +For example, the dsl rule is `ts, out_ts`, the first column means the input time of item, the second column means the output time of item, if not set, `__tmst` will be the default output time column. After the translation, the sql rule is as below: +- **get input and output time column**: `SELECT *, ts AS _bts, out_ts AS _ets FROM source`, save as table `origin_time`. +- **get latency**: `SELECT *, (_ets - _bts) AS latency FROM origin_time`, save as table `lat`. +- **get timeliness metric**: `SELECT CAST(AVG(latency) AS BIGINT) AS avg, MAX(latency) AS max, MIN(latency) AS min FROM lat`, save as table `time_metric`. + +After the translation, the metrics will be persisted in table `time_metric`. + ## Alternative Rules You can simply use Griffin DSL rule to describe your problem in DQ domain, for some complicate requirement, you can also use some alternative rules supported by Griffin. @@ -174,8 +202,9 @@ Griffin will do the operation to extract json strings. Actually, you can also extend the df-opr engine and df-opr adaptor in Griffin to support more types of data frame operations. ## Tips -Griffin engine runs on spark, it might works in two phases, pre-proc phase and run phase. +Griffin engine runs on spark, it might work in two phases, pre-proc phase and run phase. - **Pre-proc phase**: Griffin calculates data source directly, to get appropriate data format, as a preparation for DQ calculation. In this phase, you can use df-opr and spark-sql rules. After preparation, to support streaming DQ calculation, a timestamp column will be added in each row of data, so the data frame in run phase contains an extra column named "__tmst". - **Run phase**: Griffin calculates with prepared data, to get the DQ metrics. In this phase, you can use griffin-dsl, spark-sql rules, and a part of df-opr rules. -For griffin-dsl rule, griffin translates it into spark-sql rule with a group-by condition for column "__tmst", it's useful for especially streaming DQ calculation. But for spark-sql rule, griffin use it directly, you need to add the "__tmst" column in your spark-sql rule explicitly, or you can't get correct metrics result after calculation. \ No newline at end of file +For griffin-dsl rule, griffin translates it into spark-sql rule with a group-by condition for column "__tmst", it's useful for especially streaming DQ calculation. +But for spark-sql rule, griffin use it directly, you need to add the "__tmst" column in your spark-sql rule explicitly, or you can't get correct metrics result after calculation. \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 6ba0cf8eb..a02335a31 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -527,7 +527,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], s"`${sourceTableName}`.`${alias}` AS `${alias}`" }.mkString(", ") val onClause = aliases.map { alias => - s"`${sourceTableName}`.`${alias}` = `${targetTableName}`.`${alias}`" + s"coalesce(`${sourceTableName}`.`${alias}`, '') = coalesce(`${targetTableName}`.`${alias}`, '')" }.mkString(" AND ") val joinedSql = { s"SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` ON ${onClause}" diff --git a/measure/src/test/resources/_accuracy-batch-griffindsl.json b/measure/src/test/resources/_accuracy-batch-griffindsl.json index c702d46a8..10167cd19 100644 --- a/measure/src/test/resources/_accuracy-batch-griffindsl.json +++ b/measure/src/test/resources/_accuracy-batch-griffindsl.json @@ -13,14 +13,7 @@ "version": "1.7", "config": { "file.name": "src/test/resources/users_info_src.avro" - }, - "pre.proc": [ - { - "dsl.type": "spark-sql", - "name": "${this}", - "rule": "select * from ${this} where user_id > 10010" - } - ] + } } ] }, { diff --git a/measure/src/test/resources/_accuracy-batch-sparksql.json b/measure/src/test/resources/_accuracy-batch-sparksql.json index a24ffbe11..2eef9f194 100644 --- a/measure/src/test/resources/_accuracy-batch-sparksql.json +++ b/measure/src/test/resources/_accuracy-batch-sparksql.json @@ -35,7 +35,7 @@ { "dsl.type": "spark-sql", "name": "missRecords", - "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.user_id, '') = coalesce(target.user_id, '') AND coalesce(source.first_name, '') = coalesce(target.first_name, '') AND coalesce(source.post_code, '') = coalesce(target.post_code, '') WHERE (NOT (source.user_id IS NULL AND source.user_id IS NULL AND source.post_code IS NULL)) AND (target.user_id IS NULL AND target.user_id IS NULL AND target.post_code IS NULL)", + "rule": "SELECT source.* FROM source LEFT JOIN target ON coalesce(source.user_id, '') = coalesce(target.user_id, '') AND coalesce(source.first_name, '') = coalesce(target.first_name, '') AND coalesce(source.post_code, '') = coalesce(target.post_code, '') WHERE (NOT (source.user_id IS NULL AND source.first_name IS NULL AND source.post_code IS NULL)) AND (target.user_id IS NULL AND target.first_name IS NULL AND target.post_code IS NULL)", "record": { "name": "miss" } From 241e6986d140ae91fbfdaf6f96a9064da2d87d1f Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 9 Jan 2018 17:54:28 +0800 Subject: [PATCH 097/177] dsl-guide --- griffin-doc/dsl-guide.md | 39 ++++++++++++++++++++++++++++++++++----- 1 file changed, 34 insertions(+), 5 deletions(-) diff --git a/griffin-doc/dsl-guide.md b/griffin-doc/dsl-guide.md index e7f856986..fb2eeb93a 100644 --- a/griffin-doc/dsl-guide.md +++ b/griffin-doc/dsl-guide.md @@ -24,16 +24,15 @@ Griffin DSL is designed for DQ measurement, as a SQL-like language, trying to de Griffin DSL is SQL-like, case insensitive, and easy to learn. ### Supporting process -- logical operation: not, and, or, in, between, like, is null, is nan, =, !=, <=, >=, <, > +- logical operation: not, and, or, in, between, like, is null, is nan, =, !=, <>, <=, >=, <, > - mathematical operation: +, -, *, /, % - sql statement: as, where, group by, having, order by, limit - ### Keywords - `null, nan, true, false` - `not, and, or` - `in, between, like, is` -- `select, from, as, where, group, by, having, order, desc, asc, limit` +- `select, distinct, from, as, where, group, by, having, order, desc, asc, limit` ### Operators - `!, &&, ||, =, !=, <, >, <=, >=, <>` @@ -122,6 +121,14 @@ Accuracy rule expression in Griffin DSL is a logical expression, telling the map Profiling rule expression in Griffin DSL is a sql-like expression, with select clause ahead, following optional from clause, where clause, group-by clause, order-by clause, limit clause in order. e.g. `source.gender, source.id.count() where source.age > 20 group by source.gender`, `select country, max(age), min(age), count(*) as cnt from source group by country order by cnt desc limit 5` +### Duplicate Rule +Duplicate rule expression in Griffin DSL is a list of selection expressions separated by comma, indicates the duplicate columns to measure. + e.g. `name, age`, `name, (age + 1) as next_age` + +### Timeliness Rule +Timeliness rule expression in Griffin DSL is a list of selection expressions separated by comma, indicates the input time and output time (calculate time as default if not set). + e.g. `ts`, `ts, end_ts` + ## Griffin DSL translation to SQL Griffin DSL is defined for DQ measurement, to describe DQ domain problem. Actually, in Griffin, we get Griffin DSL rules, translate them into spark-sql rules for calculation in spark-sql engine. @@ -144,6 +151,27 @@ For example, the dsl rule is `source.cntry, source.id.count(), source.age.max() After the translation, the metrics will be persisted in table `profiling`. +### Duplicate +For duplicate, or called uniqueness, is to find out the duplicate items of data, and rollup the items count group by duplicate times. +For example, the dsl rule is `name, age`, which represents the duplicate requests, in this case, source and target are the same data set. After the translation, the sql rule is as below: +- **get distinct items from source**: `SELECT name, age FROM source`, save as table `src`. +- **get all items from target**: `SELECT name, age FROM target`, save as table `tgt`. +- **join two tables**: `SELECT src.name, src.age FROM tgt RIGHT JOIN src ON coalesce(src.name, '') = coalesce(tgt.name, '') AND coalesce(src.age, '') = coalesce(tgt.age, '')`, save as table `joined`. +- **get duplicate items**: `SELECT name, age, (count(*) - 1) AS dup FROM joined GROUP BY name, age`, save as table `grouped`. +- **get duplicate record**: `SELECT * FROM grouped WHERE dup > 0`, save as table `dup_record`. +- **get duplicate metric**: `SELECT dup, count(*) AS num FROM dup_records GROUP BY dup`, save as table `dup_metric`. + +After the translation, the metrics will be persisted in table `dup_metric`. + +### Timeliness +For timeliness, is to measure the latency of each item, and get the statistics of the latencies. +For example, the dsl rule is `ts, out_ts`, the first column means the input time of item, the second column means the output time of item, if not set, `__tmst` will be the default output time column. After the translation, the sql rule is as below: +- **get input and output time column**: `SELECT *, ts AS _bts, out_ts AS _ets FROM source`, save as table `origin_time`. +- **get latency**: `SELECT *, (_ets - _bts) AS latency FROM origin_time`, save as table `lat`. +- **get timeliness metric**: `SELECT CAST(AVG(latency) AS BIGINT) AS avg, MAX(latency) AS max, MIN(latency) AS min FROM lat`, save as table `time_metric`. + +After the translation, the metrics will be persisted in table `time_metric`. + ## Alternative Rules You can simply use Griffin DSL rule to describe your problem in DQ domain, for some complicate requirement, you can also use some alternative rules supported by Griffin. @@ -174,8 +202,9 @@ Griffin will do the operation to extract json strings. Actually, you can also extend the df-opr engine and df-opr adaptor in Griffin to support more types of data frame operations. ## Tips -Griffin engine runs on spark, it might works in two phases, pre-proc phase and run phase. +Griffin engine runs on spark, it might work in two phases, pre-proc phase and run phase. - **Pre-proc phase**: Griffin calculates data source directly, to get appropriate data format, as a preparation for DQ calculation. In this phase, you can use df-opr and spark-sql rules. After preparation, to support streaming DQ calculation, a timestamp column will be added in each row of data, so the data frame in run phase contains an extra column named "__tmst". - **Run phase**: Griffin calculates with prepared data, to get the DQ metrics. In this phase, you can use griffin-dsl, spark-sql rules, and a part of df-opr rules. -For griffin-dsl rule, griffin translates it into spark-sql rule with a group-by condition for column "__tmst", it's useful for especially streaming DQ calculation. But for spark-sql rule, griffin use it directly, you need to add the "__tmst" column in your spark-sql rule explicitly, or you can't get correct metrics result after calculation. \ No newline at end of file +For griffin-dsl rule, griffin translates it into spark-sql rule with a group-by condition for column "__tmst", it's useful for especially streaming DQ calculation. +But for spark-sql rule, griffin use it directly, you need to add the "__tmst" column in your spark-sql rule explicitly, or you can't get correct metrics result after calculation. \ No newline at end of file From 7ebc298ef53a5e6cd5ef6d3edde22e1fe8364182 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 9 Jan 2018 17:56:55 +0800 Subject: [PATCH 098/177] doc position --- griffin-doc/dsl-guide.md | 210 --------------------------------------- 1 file changed, 210 deletions(-) delete mode 100644 griffin-doc/dsl-guide.md diff --git a/griffin-doc/dsl-guide.md b/griffin-doc/dsl-guide.md deleted file mode 100644 index fb2eeb93a..000000000 --- a/griffin-doc/dsl-guide.md +++ /dev/null @@ -1,210 +0,0 @@ - - -# Apache Griffin DSL Guide -Griffin DSL is designed for DQ measurement, as a SQL-like language, trying to describe the DQ domain request. - -## Griffin DSL Syntax Description -Griffin DSL is SQL-like, case insensitive, and easy to learn. - -### Supporting process -- logical operation: not, and, or, in, between, like, is null, is nan, =, !=, <>, <=, >=, <, > -- mathematical operation: +, -, *, /, % -- sql statement: as, where, group by, having, order by, limit - -### Keywords -- `null, nan, true, false` -- `not, and, or` -- `in, between, like, is` -- `select, distinct, from, as, where, group, by, having, order, desc, asc, limit` - -### Operators -- `!, &&, ||, =, !=, <, >, <=, >=, <>` -- `+, -, *, /, %` -- `(, )` -- `., [, ]` - -### Literals -- **string**: any string surrounded with a pair of " or ', with escape charactor \ if any request. - e.g. `"test"`, `'string 1'`, `"hello \" world \" "` -- **number**: double or integer number. - e.g. `123`, `33.5` -- **time**: a integer with unit in a string, will be translated to a integer number in millisecond. - e.g. `3d`, `5h`, `4ms` -- **boolean**: boolean value directly. - e.g. `true`, `false` - -### Selections -- **selection head**: data source name. - e.g. `source`, `target`, `` `my table name` `` -- **all field selection**: * or with data source name ahead. - e.g. `*`, `source.*`, `target.*` -- **field selection**: field name or with data source name ahead. - e.g. `source.age`, `target.name`, `user_id` -- **index selection**: interget between square brackets "[]" with field name ahead. - e.g. `source.attributes[3]` -- **function selection**: function name with brackets "()", with field name ahead or not. - e.g. `count(*)`, `*.count()`, `source.user_id.count()`, `max(source.age)` -- **alias**: declare an alias after a selection. - e.g. `source.user_id as id`, `target.user_name as name` - -### Math expressions -- **math factor**: literal or function or selection or math exression with brackets. - e.g. `123`, `max(1, 2, 3, 4)`, `source.age`, `(source.age + 13)` -- **unary math expression**: unary math operator with factor. - e.g. `-(100 - source.score)` -- **binary math expression**: math factors with binary math operators. - e.g. `source.age + 13`, `score * 2 + ratio` - -### Logical expression -- **in**: in clause like sql. - e.g. `source.country in ("USA", "CHN", "RSA")` -- **between**: between clause like sql. - e.g. `source.age between 3 and 30`, `source.age between (3, 30)` -- **like**: like clause like sql. - e.g. `source.name like "%abc%"` -- **is null**: is null operator like sql. - e.g. `source.desc is not null` -- **is nan**: check if the value is not a number, the syntax like `is null` - e.g. `source.age is not nan` -- **logical factor**: math expression or logical expressions above or other logical expressions with brackets. - e.g. `(source.user_id = target.user_id AND source.age > target.age)` -- **unary logical expression**: unary logical operator with factor. - e.g. `NOT source.has_data`, `!(source.age = target.age)` -- **binary logical expression**: logical factors with binary logical operators, including `and`, `or` and comparison operators. - e.g. `source.age = target.age OR source.ticket = target.tck` - - -### Expression -- **expression**: logical expression and math expression. - -### Function -- **argument**: expression. -- **function**: function name with arguments between brackets. - e.g. `max(source.age, target.age)`, `count(*)` - -### Clause -- **select clause**: the result columns like sql select clause, we can ignore the word "select" in Griffin DSL. - e.g. `select user_id.count(), age.max() as max`, `source.user_id.count() as cnt, source.age.min()` -- **from clause**: the table name like sql from clause, in which the data source name must be one of data source names or the output table name of the former rule steps, we can ignore this clause by configoring the data source name. - e.g. `from source`, ``from `target` `` -- **where clause**: the filter condition like sql where clause, optional. - e.g. `where source.id = target.id and source.age = target.age` -- **group-by clause**: like the group-by clause in sql, optional. Optional having clause could be following. - e.g. `group by cntry`, `group by gender having count(*) > 50` -- **order-by clause**: like the order-by clause, optional. - e.g. `order by name`, `order by first_name desc, age asc` -- **limit clause**: like the limit clause in sql, optional. - e.g. `limit 5` - -### Accuracy Rule -Accuracy rule expression in Griffin DSL is a logical expression, telling the mapping relation between data sources. - e.g. `source.id = target.id and source.name = target.name and source.age between (target.age, target.age + 5)` - -### Profiling Rule -Profiling rule expression in Griffin DSL is a sql-like expression, with select clause ahead, following optional from clause, where clause, group-by clause, order-by clause, limit clause in order. - e.g. `source.gender, source.id.count() where source.age > 20 group by source.gender`, `select country, max(age), min(age), count(*) as cnt from source group by country order by cnt desc limit 5` - -### Duplicate Rule -Duplicate rule expression in Griffin DSL is a list of selection expressions separated by comma, indicates the duplicate columns to measure. - e.g. `name, age`, `name, (age + 1) as next_age` - -### Timeliness Rule -Timeliness rule expression in Griffin DSL is a list of selection expressions separated by comma, indicates the input time and output time (calculate time as default if not set). - e.g. `ts`, `ts, end_ts` - -## Griffin DSL translation to SQL -Griffin DSL is defined for DQ measurement, to describe DQ domain problem. -Actually, in Griffin, we get Griffin DSL rules, translate them into spark-sql rules for calculation in spark-sql engine. -In DQ domain, there're multiple dimensions, we need to translate them in different ways. - -### Accuracy -For accuracy, we need to get the match count between source and target, the rule describes the mapping relation between data sources. Griffin needs to translate the dsl rule into multiple sql rules. -For example, the dsl rule is `source.id = target.id and source.name = target.name`, which represents the match condition of accuracy. After the translation, the sql rules are as below: -- **get miss items from source**: `SELECT source.* FROM source LEFT JOIN target ON coalesce(source.id, '') = coalesce(target.id, '') and coalesce(source.name, '') = coalesce(target.name, '') WHERE (NOT (source.id IS NULL AND source.name IS NULL)) AND (target.id IS NULL AND target.name IS NULL)`, save as table `miss_items`. -- **get miss count**: `SELECT COUNT(*) AS miss FROM miss_items`, save as table `miss_count`. -- **get total count from source**: `SELECT COUNT(*) AS total FROM source`, save as table `total_count`. -- **get accuracy metric**: `SELECT miss_count.miss AS miss, total_count.total AS total, (total_count.total - miss_count.miss) AS matched FROM miss_count FULL JOIN total_count`, save as table `accuracy`. - -After the translation, the metrics will be persisted in table `accuracy`. - -### Profiling -For profiling, the request is always the aggregation function of data, the rule is mainly the same as sql, but only supporting `select`, `from`, `where`, `group-by`, `having`, `order-by`, `limit` clauses, which can describe most of the profiling requests. If any complicate request, you can use sql rule directly to describe it. -For example, the dsl rule is `source.cntry, source.id.count(), source.age.max() group by source.cntry`, which represents the profiling requests. After the translation, the sql rule is as below: -- **profiling sql rule**: `SELECT source.cntry, count(source.id), max(source.age) FROM source GROUP BY source.cntry`, save as table `profiling`. - -After the translation, the metrics will be persisted in table `profiling`. - -### Duplicate -For duplicate, or called uniqueness, is to find out the duplicate items of data, and rollup the items count group by duplicate times. -For example, the dsl rule is `name, age`, which represents the duplicate requests, in this case, source and target are the same data set. After the translation, the sql rule is as below: -- **get distinct items from source**: `SELECT name, age FROM source`, save as table `src`. -- **get all items from target**: `SELECT name, age FROM target`, save as table `tgt`. -- **join two tables**: `SELECT src.name, src.age FROM tgt RIGHT JOIN src ON coalesce(src.name, '') = coalesce(tgt.name, '') AND coalesce(src.age, '') = coalesce(tgt.age, '')`, save as table `joined`. -- **get duplicate items**: `SELECT name, age, (count(*) - 1) AS dup FROM joined GROUP BY name, age`, save as table `grouped`. -- **get duplicate record**: `SELECT * FROM grouped WHERE dup > 0`, save as table `dup_record`. -- **get duplicate metric**: `SELECT dup, count(*) AS num FROM dup_records GROUP BY dup`, save as table `dup_metric`. - -After the translation, the metrics will be persisted in table `dup_metric`. - -### Timeliness -For timeliness, is to measure the latency of each item, and get the statistics of the latencies. -For example, the dsl rule is `ts, out_ts`, the first column means the input time of item, the second column means the output time of item, if not set, `__tmst` will be the default output time column. After the translation, the sql rule is as below: -- **get input and output time column**: `SELECT *, ts AS _bts, out_ts AS _ets FROM source`, save as table `origin_time`. -- **get latency**: `SELECT *, (_ets - _bts) AS latency FROM origin_time`, save as table `lat`. -- **get timeliness metric**: `SELECT CAST(AVG(latency) AS BIGINT) AS avg, MAX(latency) AS max, MIN(latency) AS min FROM lat`, save as table `time_metric`. - -After the translation, the metrics will be persisted in table `time_metric`. - -## Alternative Rules -You can simply use Griffin DSL rule to describe your problem in DQ domain, for some complicate requirement, you can also use some alternative rules supported by Griffin. - -### Spark sql -Griffin supports spark-sql directly, you can write rule in sql like this: -``` -{ - "dsl.type": "spark-sql", - "name": "source", - "rule": "SELECT count(id) AS cnt, max(timestamp) AS fresh_time FROM source" -} -``` -Griffin will calculate it in spark-sql engine directly. - -### Data frame operation -Griffin supports some other operations on data frame in spark, like converting json string data frame into extracted data frame with extracted object schema. For example: -``` -{ - "dsl.type": "df-opr", - "name": "ext_source", - "rule": "from_json", - "details": { - "df.name": "json_source" - } -} -``` -Griffin will do the operation to extract json strings. -Actually, you can also extend the df-opr engine and df-opr adaptor in Griffin to support more types of data frame operations. - -## Tips -Griffin engine runs on spark, it might work in two phases, pre-proc phase and run phase. -- **Pre-proc phase**: Griffin calculates data source directly, to get appropriate data format, as a preparation for DQ calculation. In this phase, you can use df-opr and spark-sql rules. -After preparation, to support streaming DQ calculation, a timestamp column will be added in each row of data, so the data frame in run phase contains an extra column named "__tmst". -- **Run phase**: Griffin calculates with prepared data, to get the DQ metrics. In this phase, you can use griffin-dsl, spark-sql rules, and a part of df-opr rules. -For griffin-dsl rule, griffin translates it into spark-sql rule with a group-by condition for column "__tmst", it's useful for especially streaming DQ calculation. -But for spark-sql rule, griffin use it directly, you need to add the "__tmst" column in your spark-sql rule explicitly, or you can't get correct metrics result after calculation. \ No newline at end of file From f583ce64a3b2053c33eecf1d11389027c992df11 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 10 Jan 2018 14:42:45 +0800 Subject: [PATCH 099/177] add total and unique count in uniqueness metric --- .../rule/adaptor/GriffinDslAdaptor.scala | 114 ++++++++++++++---- .../griffin/measure/rule/dsl/DqType.scala | 8 +- ...nalyzer.scala => UniquenessAnalyzer.scala} | 4 +- .../rule/dsl/expr/ClauseExpression.scala | 4 +- .../rule/dsl/parser/GriffinDslParser.scala | 10 +- ...json => _uniqueness-batch-griffindsl.json} | 6 +- ... => _uniqueness-streaming-griffindsl.json} | 4 +- ...on => _uniqueness-streaming-sparksql.json} | 2 +- .../rule/adaptor/GriffinDslAdaptorTest.scala | 4 +- 9 files changed, 112 insertions(+), 44 deletions(-) rename measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/{DuplicateAnalyzer.scala => UniquenessAnalyzer.scala} (88%) rename measure/src/test/resources/{_duplicate-batch-griffindsl.json => _uniqueness-batch-griffindsl.json} (89%) rename measure/src/test/resources/{_duplicate-streaming-griffindsl.json => _uniqueness-streaming-griffindsl.json} (97%) rename measure/src/test/resources/{_duplicate-streaming-sparksql.json => _uniqueness-streaming-sparksql.json} (99%) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index a02335a31..cfbfb3b4e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -43,9 +43,11 @@ object ProfilingKeys { val _source = "source" } -object DuplicateKeys { +object UniquenessKeys { val _source = "source" val _target = "target" + val _unique = "unique" + val _total = "total" val _dup = "dup" val _num = "num" } @@ -87,7 +89,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], dqType match { case AccuracyType => accuracyRulePlan(timeInfo, name, expr, param, processType) case ProfilingType => profilingRulePlan(timeInfo, name, expr, param, processType) - case DuplicateType => duplicateRulePlan(timeInfo, name, expr, param, processType) + case UniquenessType => uniquenessRulePlan(timeInfo, name, expr, param, processType) case TimelinessType => timelinessRulePlan(timeInfo, name, expr, param, processType) case _ => emptyRulePlan } @@ -169,7 +171,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], |SELECT `${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` - |FROM `${totalCountTableName}` FULL JOIN `${missCountTableName}` + |FROM `${totalCountTableName}` LEFT JOIN `${missCountTableName}` """.stripMargin } case StreamingProcessType => { @@ -178,7 +180,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], |`${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` - |FROM `${totalCountTableName}` FULL JOIN `${missCountTableName}` + |FROM `${totalCountTableName}` LEFT JOIN `${missCountTableName}` |ON `${totalCountTableName}`.`${InternalColumns.tmst}` = `${missCountTableName}`.`${InternalColumns.tmst}` """.stripMargin } @@ -481,13 +483,13 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - private def duplicateRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], processType: ProcessType - ): RulePlan = { + private def uniquenessRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], processType: ProcessType + ): RulePlan = { val details = getDetails(param) - val sourceName = details.getString(DuplicateKeys._source, dataSourceNames.head) - val targetName = details.getString(DuplicateKeys._target, dataSourceNames.tail.head) - val analyzer = DuplicateAnalyzer(expr.asInstanceOf[DuplicateClause], sourceName, targetName) + val sourceName = details.getString(UniquenessKeys._source, dataSourceNames.head) + val targetName = details.getString(UniquenessKeys._target, dataSourceNames.tail.head) + val analyzer = UniquenessAnalyzer(expr.asInstanceOf[UniquenessClause], sourceName, targetName) if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { println(s"[${timeInfo.calcTime}] data source ${sourceName} not exists") @@ -539,26 +541,88 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val groupSelClause = selAliases.map { alias => s"`${alias}`" }.mkString(", ") - val dupColName = details.getStringOrKey(DuplicateKeys._dup) + val dupColName = details.getStringOrKey(UniquenessKeys._dup) val groupSql = { s"SELECT ${groupSelClause}, (COUNT(*) - 1) AS `${dupColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" } - val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap) + val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap, true) + + // 5. total metric + val totalTableName = "__totalMetric" + val totalColName = details.getStringOrKey(UniquenessKeys._total) + val totalSql = processType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` + |FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}` + """.stripMargin + } + } + val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) + val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName) - // 5. duplicate record + // 6. unique record + val uniqueRecordTableName = "__uniqueRecord" + val uniqueRecordSql = { + s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` = 0" + } + val uniqueRecordStep = SparkSqlStep(uniqueRecordTableName, uniqueRecordSql, emptyMap) + + // 7. unique metric + val uniqueTableName = "__uniqueMetric" + val uniqueColName = details.getStringOrKey(UniquenessKeys._unique) + val uniqueSql = processType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${uniqueColName}` FROM `${uniqueRecordTableName}`" + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${uniqueColName}` + |FROM `${uniqueRecordTableName}` GROUP BY `${InternalColumns.tmst}` + """.stripMargin + } + } + val uniqueStep = SparkSqlStep(uniqueTableName, uniqueSql, emptyMap) + val uniqueMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val uniqueMetricExport = genMetricExport(uniqueMetricParam, uniqueColName, uniqueTableName) + + // 8. count metric +// val countMetricTableName = "__countMetric" +// val countMetricSql = processType match { +// case BatchProcessType => { +// s""" +// |SELECT `${totalTableName}`.`${totalColName}` AS `${totalColName}`, +// |coalesce(`${uniqueTableName}`.`${uniqueColName}`, 0) AS `${uniqueColName}` +// |FROM `${totalTableName}` LEFT JOIN `${uniqueTableName}` +// """.stripMargin +// } +// case StreamingProcessType => { +// s""" +// |SELECT `${totalTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, +// |`${totalTableName}`.`${totalColName}` AS `${totalColName}`, +// |coalesce(`${uniqueTableName}`.`${uniqueColName}`, 0) AS `${uniqueColName}` +// |FROM `${totalTableName}` LEFT JOIN `${uniqueTableName}` +// |ON `${totalTableName}`.`${InternalColumns.tmst}` = `${uniqueTableName}`.`${InternalColumns.tmst}` +// """.stripMargin +// } +// } +// val countMetricStep = SparkSqlStep(countMetricTableName, countMetricSql, emptyMap) +// val countMetricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) +// .addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) +// val countMetricExport = genMetricExport(countMetricParam, "", countMetricTableName) + + // 8. duplicate record val dupRecordTableName = "__dupRecords" val dupRecordSql = { - s""" - |SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0 - """.stripMargin + s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" } val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val dupRecordxports = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName) :: Nil + val dupRecordExport = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName) - // 6. duplicate metric - val dupMetricTableName = name - val numColName = details.getStringOrKey(DuplicateKeys._num) + // 9. duplicate metric + val dupMetricTableName = "__dupMetric" + val numColName = details.getStringOrKey(UniquenessKeys._num) val dupMetricSelClause = processType match { case BatchProcessType => s"`${dupColName}`, COUNT(*) AS `${numColName}`" case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`, COUNT(*) AS `${numColName}`" @@ -574,12 +638,14 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], """.stripMargin } val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) - val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + val dupMetricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) .addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val dupMetricExports = genMetricExport(metricParam, name, dupMetricTableName) :: Nil + val dupMetricExport = genMetricExport(dupMetricParam, dupColName, dupMetricTableName) - val dupSteps = sourceStep :: targetStep :: joinedStep :: groupStep :: dupRecordStep :: dupMetricStep :: Nil - val dupExports = dupRecordxports ++ dupMetricExports + val dupSteps = sourceStep :: targetStep :: joinedStep :: + groupStep :: totalStep :: uniqueRecordStep :: uniqueStep :: + dupRecordStep :: dupMetricStep :: Nil + val dupExports = totalMetricExport :: uniqueMetricExport :: dupRecordExport :: dupMetricExport :: Nil RulePlan(dupSteps, dupExports) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala index da593480b..11b67f2ea 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala @@ -28,7 +28,7 @@ sealed trait DqType { object DqType { private val dqTypes: List[DqType] = List( - AccuracyType, ProfilingType, DuplicateType, TimelinessType, UnknownType + AccuracyType, ProfilingType, UniquenessType, TimelinessType, UnknownType ) def apply(ptn: String): DqType = { dqTypes.filter(tp => ptn match { @@ -49,9 +49,9 @@ final case object ProfilingType extends DqType { val desc = "profiling" } -final case object DuplicateType extends DqType { - val regex = "^(?i)duplicate$".r - val desc = "duplicate" +final case object UniquenessType extends DqType { + val regex = "^(?i)uniqueness|duplicate$".r + val desc = "uniqueness" } final case object TimelinessType extends DqType { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DuplicateAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/UniquenessAnalyzer.scala similarity index 88% rename from measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DuplicateAnalyzer.scala rename to measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/UniquenessAnalyzer.scala index 1ca2b7679..9fe65c270 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DuplicateAnalyzer.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/UniquenessAnalyzer.scala @@ -21,7 +21,7 @@ package org.apache.griffin.measure.rule.dsl.analyzer import org.apache.griffin.measure.rule.dsl.expr.{AliasableExpr, _} -case class DuplicateAnalyzer(expr: DuplicateClause, sourceName: String, targetName: String) extends BasicAnalyzer { +case class UniquenessAnalyzer(expr: UniquenessClause, sourceName: String, targetName: String) extends BasicAnalyzer { val seqAlias = (expr: Expr, v: Seq[String]) => { expr match { @@ -40,7 +40,7 @@ case class DuplicateAnalyzer(expr: DuplicateClause, sourceName: String, targetNa } if (selectionPairs.isEmpty) { - throw new Exception(s"duplicate analyzer error: empty selection") + throw new Exception(s"uniqueness analyzer error: empty selection") } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala index bc7af429b..504e176f1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala @@ -219,12 +219,12 @@ case class ProfilingClause(selectClause: SelectClause, } } -case class DuplicateClause(exprs: Seq[Expr]) extends ClauseExpression { +case class UniquenessClause(exprs: Seq[Expr]) extends ClauseExpression { addChildren(exprs) def desc: String = exprs.map(_.desc).mkString(", ") def coalesceDesc: String = exprs.map(_.coalesceDesc).mkString(", ") - override def map(func: (Expr) => Expr): DuplicateClause = DuplicateClause(exprs.map(func(_))) + override def map(func: (Expr) => Expr): UniquenessClause = UniquenessClause(exprs.map(func(_))) } case class TimelinessClause(exprs: Seq[Expr]) extends ClauseExpression { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala index 8d04e76b2..83f315397 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala @@ -39,11 +39,11 @@ case class GriffinDslParser(dataSourceNames: Seq[String], functionNames: Seq[Str } /** - * -- duplicate clauses -- - * = [, ]+ + * -- uniqueness clauses -- + * = [, ]+ */ - def duplicateClause: Parser[DuplicateClause] = rep1sep(expression, Operator.COMMA) ^^ { - case exprs => DuplicateClause(exprs) + def uniquenessClause: Parser[UniquenessClause] = rep1sep(expression, Operator.COMMA) ^^ { + case exprs => UniquenessClause(exprs) } /** @@ -58,7 +58,7 @@ case class GriffinDslParser(dataSourceNames: Seq[String], functionNames: Seq[Str val rootExpr = dqType match { case AccuracyType => logicalExpression case ProfilingType => profilingClause - case DuplicateType => duplicateClause + case UniquenessType => uniquenessClause case TimelinessType => timelinessClause case _ => expression } diff --git a/measure/src/test/resources/_duplicate-batch-griffindsl.json b/measure/src/test/resources/_uniqueness-batch-griffindsl.json similarity index 89% rename from measure/src/test/resources/_duplicate-batch-griffindsl.json rename to measure/src/test/resources/_uniqueness-batch-griffindsl.json index cd71020b1..101f980cb 100644 --- a/measure/src/test/resources/_duplicate-batch-griffindsl.json +++ b/measure/src/test/resources/_uniqueness-batch-griffindsl.json @@ -1,5 +1,5 @@ { - "name": "dup_batch", + "name": "unique_batch", "process.type": "batch", @@ -35,12 +35,14 @@ "rules": [ { "dsl.type": "griffin-dsl", - "dq.type": "duplicate", + "dq.type": "uniqueness", "name": "dup", "rule": "user_id", "details": { "source": "source", "target": "target", + "total": "total", + "unique": "unique", "dup": "dup", "num": "num" }, diff --git a/measure/src/test/resources/_duplicate-streaming-griffindsl.json b/measure/src/test/resources/_uniqueness-streaming-griffindsl.json similarity index 97% rename from measure/src/test/resources/_duplicate-streaming-griffindsl.json rename to measure/src/test/resources/_uniqueness-streaming-griffindsl.json index 18ac81a76..2b1a60cc5 100644 --- a/measure/src/test/resources/_duplicate-streaming-griffindsl.json +++ b/measure/src/test/resources/_uniqueness-streaming-griffindsl.json @@ -1,5 +1,5 @@ { - "name": "dup_streaming", + "name": "unique_streaming", "process.type": "streaming", @@ -95,7 +95,7 @@ "rules": [ { "dsl.type": "griffin-dsl", - "dq.type": "duplicate", + "dq.type": "uniqueness", "name": "dup", "rule": "name, age", "details": { diff --git a/measure/src/test/resources/_duplicate-streaming-sparksql.json b/measure/src/test/resources/_uniqueness-streaming-sparksql.json similarity index 99% rename from measure/src/test/resources/_duplicate-streaming-sparksql.json rename to measure/src/test/resources/_uniqueness-streaming-sparksql.json index 3d37dad7f..7d132159f 100644 --- a/measure/src/test/resources/_duplicate-streaming-sparksql.json +++ b/measure/src/test/resources/_uniqueness-streaming-sparksql.json @@ -1,5 +1,5 @@ { - "name": "dup_streaming", + "name": "unique_streaming", "process.type": "streaming", diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala index 22fc331f9..d551a4ffc 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptorTest.scala @@ -109,13 +109,13 @@ class GriffinDslAdaptorTest extends FunSuite with Matchers with BeforeAndAfter w // } } - test ("duplicate") { + test ("uniqueness") { // val adaptor = GriffinDslAdaptor("new" :: "old" :: Nil, "count" :: Nil) // val ruleJson = // """ // |{ // | "dsl.type": "griffin-dsl", -// | "dq.type": "duplicate", +// | "dq.type": "uniqueness", // | "name": "dup", // | "rule": "name, count(age + 1) as ct", // | "details": { From d882d6105336c04ad4124e7871db810365811da3 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 10 Jan 2018 15:08:29 +0800 Subject: [PATCH 100/177] add duplication on off switch --- griffin-doc/measure/dsl-guide.md | 13 ++-- .../rule/adaptor/GriffinDslAdaptor.scala | 73 ++++++++++--------- .../_uniqueness-batch-griffindsl.json | 2 +- .../_uniqueness-streaming-griffindsl.json | 7 +- 4 files changed, 53 insertions(+), 42 deletions(-) diff --git a/griffin-doc/measure/dsl-guide.md b/griffin-doc/measure/dsl-guide.md index fb2eeb93a..0fc8059c0 100644 --- a/griffin-doc/measure/dsl-guide.md +++ b/griffin-doc/measure/dsl-guide.md @@ -121,8 +121,8 @@ Accuracy rule expression in Griffin DSL is a logical expression, telling the map Profiling rule expression in Griffin DSL is a sql-like expression, with select clause ahead, following optional from clause, where clause, group-by clause, order-by clause, limit clause in order. e.g. `source.gender, source.id.count() where source.age > 20 group by source.gender`, `select country, max(age), min(age), count(*) as cnt from source group by country order by cnt desc limit 5` -### Duplicate Rule -Duplicate rule expression in Griffin DSL is a list of selection expressions separated by comma, indicates the duplicate columns to measure. +### Uniqueness Rule +Uniqueness rule expression in Griffin DSL is a list of selection expressions separated by comma, indicates the columns to check if is unique. e.g. `name, age`, `name, (age + 1) as next_age` ### Timeliness Rule @@ -151,13 +151,16 @@ For example, the dsl rule is `source.cntry, source.id.count(), source.age.max() After the translation, the metrics will be persisted in table `profiling`. -### Duplicate -For duplicate, or called uniqueness, is to find out the duplicate items of data, and rollup the items count group by duplicate times. +### Uniqueness +For uniqueness, or called duplicate, is to find out the duplicate items of data, and rollup the items count group by duplicate times. For example, the dsl rule is `name, age`, which represents the duplicate requests, in this case, source and target are the same data set. After the translation, the sql rule is as below: - **get distinct items from source**: `SELECT name, age FROM source`, save as table `src`. - **get all items from target**: `SELECT name, age FROM target`, save as table `tgt`. - **join two tables**: `SELECT src.name, src.age FROM tgt RIGHT JOIN src ON coalesce(src.name, '') = coalesce(tgt.name, '') AND coalesce(src.age, '') = coalesce(tgt.age, '')`, save as table `joined`. -- **get duplicate items**: `SELECT name, age, (count(*) - 1) AS dup FROM joined GROUP BY name, age`, save as table `grouped`. +- **get items duplication**: `SELECT name, age, (count(*) - 1) AS dup FROM joined GROUP BY name, age`, save as table `grouped`. +- **get total metric**: `SELECT count(*) FROM source`, save as table `total_metric`. +- **get unique record**: `SELECT * FROM grouped WHERE dup = 0`, save as table `unique_record`. +- **get unique metric**: `SELECT count(*) FROM unique_record`, save as table `unique_metric`. - **get duplicate record**: `SELECT * FROM grouped WHERE dup > 0`, save as table `dup_record`. - **get duplicate metric**: `SELECT dup, count(*) AS num FROM dup_records GROUP BY dup`, save as table `dup_metric`. diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index cfbfb3b4e..90f28e6f3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -50,6 +50,7 @@ object UniquenessKeys { val _total = "total" val _dup = "dup" val _num = "num" + val _duplicationArray = "duplication.array" } object TimelinessKeys { @@ -611,43 +612,47 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // .addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) // val countMetricExport = genMetricExport(countMetricParam, "", countMetricTableName) - // 8. duplicate record - val dupRecordTableName = "__dupRecords" - val dupRecordSql = { - s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" - } - val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) - val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val dupRecordExport = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName) + val uniqueSteps = sourceStep :: targetStep :: joinedStep :: groupStep :: + totalStep :: uniqueRecordStep :: uniqueStep :: Nil + val uniqueExports = totalMetricExport :: uniqueMetricExport :: Nil + val uniqueRulePlan = RulePlan(uniqueSteps, uniqueExports) - // 9. duplicate metric - val dupMetricTableName = "__dupMetric" - val numColName = details.getStringOrKey(UniquenessKeys._num) - val dupMetricSelClause = processType match { - case BatchProcessType => s"`${dupColName}`, COUNT(*) AS `${numColName}`" - case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`, COUNT(*) AS `${numColName}`" - } - val dupMetricGroupbyClause = processType match { - case BatchProcessType => s"`${dupColName}`" - case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`" - } - val dupMetricSql = { - s""" - |SELECT ${dupMetricSelClause} FROM `${dupRecordTableName}` - |GROUP BY ${dupMetricGroupbyClause} - """.stripMargin - } - val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) - val dupMetricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - .addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val dupMetricExport = genMetricExport(dupMetricParam, dupColName, dupMetricTableName) + val duplicationArrayName = details.getString(UniquenessKeys._duplicationArray, "") + val dupRulePlan = if (duplicationArrayName.nonEmpty) { + // 8. duplicate record + val dupRecordTableName = "__dupRecords" + val dupRecordSql = { + s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" + } + val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val dupRecordExport = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName) + + // 9. duplicate metric + val dupMetricTableName = "__dupMetric" + val numColName = details.getStringOrKey(UniquenessKeys._num) + val dupMetricSelClause = processType match { + case BatchProcessType => s"`${dupColName}`, COUNT(*) AS `${numColName}`" + case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`, COUNT(*) AS `${numColName}`" + } + val dupMetricGroupbyClause = processType match { + case BatchProcessType => s"`${dupColName}`" + case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`" + } + val dupMetricSql = { + s""" + |SELECT ${dupMetricSelClause} FROM `${dupRecordTableName}` + |GROUP BY ${dupMetricGroupbyClause} + """.stripMargin + } + val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) + val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName) - val dupSteps = sourceStep :: targetStep :: joinedStep :: - groupStep :: totalStep :: uniqueRecordStep :: uniqueStep :: - dupRecordStep :: dupMetricStep :: Nil - val dupExports = totalMetricExport :: uniqueMetricExport :: dupRecordExport :: dupMetricExport :: Nil + RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) + } else emptyRulePlan - RulePlan(dupSteps, dupExports) + uniqueRulePlan.merge(dupRulePlan) } } diff --git a/measure/src/test/resources/_uniqueness-batch-griffindsl.json b/measure/src/test/resources/_uniqueness-batch-griffindsl.json index 101f980cb..28009e8e3 100644 --- a/measure/src/test/resources/_uniqueness-batch-griffindsl.json +++ b/measure/src/test/resources/_uniqueness-batch-griffindsl.json @@ -47,7 +47,7 @@ "num": "num" }, "metric": { - "name": "dup" + "name": "unique" }, "record": { "name": "dupRecords" diff --git a/measure/src/test/resources/_uniqueness-streaming-griffindsl.json b/measure/src/test/resources/_uniqueness-streaming-griffindsl.json index 2b1a60cc5..bc5cbd2bf 100644 --- a/measure/src/test/resources/_uniqueness-streaming-griffindsl.json +++ b/measure/src/test/resources/_uniqueness-streaming-griffindsl.json @@ -101,11 +101,14 @@ "details": { "source": "new", "target": "old", + "total": "total", + "unique": "unique", "dup": "dup", - "num": "num" + "num": "num", + "duplication.array": "dup" }, "metric": { - "name": "dup" + "name": "unique" }, "record": { "name": "dupRecords" From bed32e26de37fae231ed75f24df91c3761ac1716 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 10 Jan 2018 15:09:29 +0800 Subject: [PATCH 101/177] remove extra comment --- .../rule/adaptor/GriffinDslAdaptor.scala | 712 ------------------ 1 file changed, 712 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 90f28e6f3..d0523eeff 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -248,187 +248,6 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } -// private def accuracyRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, -// param: Map[String, Any], processType: ProcessType -// ): RulePlan = { -// val details = getDetails(param) -// val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) -// val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) -// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) -// -// if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { -// emptyRulePlan -// } else { -// // 1. miss record -// val missRecordsTableName = "__missRecords" -// val selClause = s"`${sourceName}`.*" -// val missRecordsSql = if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { -// s"SELECT ${selClause} FROM `${sourceName}`" -// } else { -// val onClause = expr.coalesceDesc -// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val targetIsNull = analyzer.targetSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" -// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" -// } -// val missRecordsStep = SparkSqlStep(missRecordsTableName, missRecordsSql, emptyMap, true) -// val missRecordsExports = processType match { -// case BatchProcessType => { -// val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) -// genRecordExport(recordParam, missRecordsTableName, missRecordsTableName) :: Nil -// } -// case StreamingProcessType => Nil -// } -// -// // 2. miss count -// val missCountTableName = "__missCount" -// val missColName = details.getStringOrKey(AccuracyKeys._miss) -// val missCountSql = processType match { -// case BatchProcessType => s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}`" -// case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}` GROUP BY `${InternalColumns.tmst}`" -// } -// val missCountStep = SparkSqlStep(missCountTableName, missCountSql, emptyMap) -// -// // 3. total count -// val totalCountTableName = "__totalCount" -// val totalColName = details.getStringOrKey(AccuracyKeys._total) -// val totalCountSql = processType match { -// case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" -// case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}`" -// } -// val totalCountStep = SparkSqlStep(totalCountTableName, totalCountSql, emptyMap) -// -// // 4. accuracy metric -// val accuracyTableName = name -// val matchedColName = details.getStringOrKey(AccuracyKeys._matched) -// val accuracyMetricSql = processType match { -// case BatchProcessType => { -// s""" -// |SELECT `${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, -// |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, -// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` -// |FROM `${totalCountTableName}` FULL JOIN `${missCountTableName}` -// """.stripMargin -// } -// case StreamingProcessType => { -// s""" -// |SELECT `${totalCountTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, -// |`${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, -// |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, -// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` -// |FROM `${totalCountTableName}` FULL JOIN `${missCountTableName}` -// |ON `${totalCountTableName}`.`${InternalColumns.tmst}` = `${missCountTableName}`.`${InternalColumns.tmst}` -// """.stripMargin -// } -// } -// val accuracyStep = SparkSqlStep(accuracyTableName, accuracyMetricSql, emptyMap, true) -// val accuracyExports = processType match { -// case BatchProcessType => { -// val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) -// genMetricExport(metricParam, accuracyTableName, accuracyTableName) :: Nil -// } -// case StreamingProcessType => Nil -// } -// -// // current accu plan -// val accuSteps = missRecordsStep :: missCountStep :: totalCountStep :: accuracyStep :: Nil -// val accuExports = missRecordsExports ++ accuracyExports -// val accuPlan = RulePlan(accuSteps, accuExports) -// -// // streaming extra accu plan -// val streamingAccuPlan = processType match { -// case BatchProcessType => emptyRulePlan -// case StreamingProcessType => { -// // 5. global accuracy metric merge -// val globalAccuracyTableName = "__globalAccuracy" -// val globalAccuracySql = { -// s""" -// |SELECT coalesce(`${globalAccuracyTableName}`.`${InternalColumns.tmst}`, `${accuracyTableName}`.`${InternalColumns.tmst}`) AS `${InternalColumns.tmst}`, -// |coalesce(`${accuracyTableName}`.`${missColName}`, `${globalAccuracyTableName}`.`${missColName}`) AS `${missColName}`, -// |coalesce(`${globalAccuracyTableName}`.`${totalColName}`, `${accuracyTableName}`.`${totalColName}`) AS `${totalColName}`, -// |((`${accuracyTableName}`.`${missColName}` IS NOT NULL) AND ((`${globalAccuracyTableName}`.`${missColName}` IS NULL) OR (`${accuracyTableName}`.`${missColName}` < `${globalAccuracyTableName}`.`${missColName}`))) AS `${InternalColumns.metric}` -// |FROM `${globalAccuracyTableName}` FULL JOIN `${accuracyTableName}` -// |ON `${globalAccuracyTableName}`.`${InternalColumns.tmst}` = `${accuracyTableName}`.`${InternalColumns.tmst}` -// """.stripMargin -// } -// val globalAccuracyInitSql = { -// s""" -// |SELECT `${InternalColumns.tmst}`, `${totalColName}`, `${missColName}`, -// |(true) AS `${InternalColumns.metric}` -// |FROM `${accuracyTableName}` -// """.stripMargin -// } -// val globalAccuracyDetails = Map[String, Any](GlobalKeys._initRule -> globalAccuracyInitSql) -// val globalAccuracyStep = SparkSqlStep(globalAccuracyTableName, -// globalAccuracySql, globalAccuracyDetails, true, true) -// -// // 6. collect accuracy metrics -// val accuracyMetricTableName = name -// val accuracyMetricSql = { -// s""" -// |SELECT `${InternalColumns.tmst}`, `${totalColName}`, `${missColName}`, -// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` -// |FROM `${globalAccuracyTableName}` WHERE `${InternalColumns.metric}` -// """.stripMargin -// } -// val accuracyMetricStep = SparkSqlStep(accuracyMetricTableName, accuracyMetricSql, emptyMap) -// val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) -// val accuracyMetricExports = genMetricExport(metricParam, accuracyMetricTableName, accuracyMetricTableName) :: Nil -// -// // 7. collect accuracy records -// val accuracyRecordTableName = "__accuracyRecords" -// val accuracyRecordSql = { -// s""" -// |SELECT `${InternalColumns.tmst}` -// |FROM `${accuracyMetricTableName}` WHERE `${matchedColName}` > 0 -// """.stripMargin -// } -// val accuracyRecordStep = SparkSqlStep(accuracyRecordTableName, accuracyRecordSql, emptyMap) -// val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) -// val accuracyRecordParam = recordParam.addIfNotExist(ExportParamKeys._dataSourceCache, sourceName) -// .addIfNotExist(ExportParamKeys._originDF, missRecordsTableName) -// val accuracyRecordExports = genRecordExport( -// accuracyRecordParam, missRecordsTableName, accuracyRecordTableName) :: Nil -// -// // 8. update global accuracy metric -// val updateGlobalAccuracyTableName = globalAccuracyTableName -// val globalMetricKeepTime = details.getString(GlobalKeys._globalMetricKeep, "") -// val updateGlobalAccuracySql = TimeUtil.milliseconds(globalMetricKeepTime) match { -// case Some(kt) => { -// s""" -// |SELECT * FROM `${globalAccuracyTableName}` -// |WHERE (`${missColName}` > 0) AND (`${InternalColumns.tmst}` > ${timeInfo.calcTime - kt}) -// """.stripMargin -// } -// case _ => { -// s""" -// |SELECT * FROM `${globalAccuracyTableName}` -// |WHERE (`${missColName}` > 0) -// """.stripMargin -// } -// } -// val updateGlobalAccuracyStep = SparkSqlStep(updateGlobalAccuracyTableName, -// updateGlobalAccuracySql, emptyMap, true, true) -// -// // gen accu plan -// val extraSteps = globalAccuracyStep :: accuracyMetricStep :: accuracyRecordStep :: updateGlobalAccuracyStep :: Nil -// val extraExports = accuracyMetricExports ++ accuracyRecordExports -// val extraPlan = RulePlan(extraSteps, extraExports) -// -// extraPlan -// } -// } -// -// // return accu plan -// accuPlan.merge(streamingAccuPlan) -// -// } -// } - private def profilingRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, param: Map[String, Any], processType: ProcessType ): RulePlan = { @@ -752,535 +571,4 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - // override def genRuleInfos(param: Map[String, Any], timeInfo: TimeInfo): Seq[RuleInfo] = { -// val ruleInfo = RuleInfoGen(param) -// val dqType = RuleInfoGen.dqType(param) -// try { -// val result = parser.parseRule(ruleInfo.rule, dqType) -// if (result.successful) { -// val expr = result.get -// dqType match { -// case AccuracyType => accuracyRuleInfos(ruleInfo, expr, timeInfo) -// case ProfilingType => profilingRuleInfos(ruleInfo, expr, timeInfo) -// case TimelinessType => Nil -// case _ => Nil -// } -// } else { -// warn(s"parse rule [ ${ruleInfo.rule} ] fails: \n${result}") -// Nil -// } -// } catch { -// case e: Throwable => { -// error(s"generate rule info ${ruleInfo} fails: ${e.getMessage}") -// Nil -// } -// } -// } - - // group by version -// private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { -// val calcTime = timeInfo.calcTime -// val details = ruleInfo.details -// val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) -// val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) -// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) -// -// if (!TempTables.existTable(timeInfo.key, sourceName)) { -// Nil -// } else { -// // 1. miss record -// val missRecordsSql = if (!TempTables.existTable(timeInfo.key, targetName)) { -// val selClause = s"`${sourceName}`.*" -// s"SELECT ${selClause} FROM `${sourceName}`" -// } else { -// val selClause = s"`${sourceName}`.*" -// val onClause = expr.coalesceDesc -// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val targetIsNull = analyzer.targetSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" -// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" -// } -// val missRecordsName = AccuracyKeys._missRecords -// // val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) -// val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) -// .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) -// val missRecordsRuleInfo = RuleInfo(missRecordsName, None, SparkSqlType, -// missRecordsSql, missRecordsParams, true) -// // val missRecordsStep = SparkSqlStep( -// // timeInfo, -// // RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) -// // ) -// -// // 2. miss count -// val missTableName = "_miss_" -// // val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) -// val missColName = details.getStringOrKey(AccuracyKeys._miss) -// val missSql = { -// s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsName}` GROUP BY `${InternalColumns.tmst}`" -// } -// val missRuleInfo = RuleInfo(missTableName, None, SparkSqlType, -// missSql, Map[String, Any](), true) -// // val missStep = SparkSqlStep( -// // timeInfo, -// // RuleInfo(missTableName, None, missSql, Map[String, Any]()) -// // ) -// -// // 3. total count -// val totalTableName = "_total_" -// // val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) -// val totalColName = details.getStringOrKey(AccuracyKeys._total) -// val totalSql = { -// s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}`" -// } -// val totalRuleInfo = RuleInfo(totalTableName, None, SparkSqlType, -// totalSql, Map[String, Any](), true) -// // val totalStep = SparkSqlStep( -// // timeInfo, -// // RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) -// // ) -// -// // 4. accuracy metric -// val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleInfo.name) -// // val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) -// val matchedColName = details.getStringOrKey(AccuracyKeys._matched) -// val accuracyMetricSql = { -// s""" -// |SELECT `${totalTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, -// |`${missTableName}`.`${missColName}` AS `${missColName}`, -// |`${totalTableName}`.`${totalColName}` AS `${totalColName}`, -// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` -// |FROM `${totalTableName}` FULL JOIN `${missTableName}` -// |ON `${totalTableName}`.`${InternalColumns.tmst}` = `${missTableName}`.`${InternalColumns.tmst}` -// """.stripMargin -// } -// // val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -//// val accuracyMetricRuleInfo = RuleInfo(accuracyMetricName, None, SparkSqlType, -//// accuracyMetricSql, Map[String, Any](), true) -// val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) -// val accuracyMetricRuleInfo = RuleInfo(accuracyMetricName, None, SparkSqlType, -// accuracyMetricSql, Map[String, Any](), true) -// -// // 5. accuracy metric merge -// val globalMetricName = "accu_global" -// val globalAccuSql = if (TempTables.existGlobalTable(globalMetricName)) { -// s""" -// |SELECT coalesce(`${globalMetricName}`.`${InternalColumns.tmst}`, `${accuracyMetricName}`.`${InternalColumns.tmst}`) AS `${InternalColumns.tmst}`, -// |coalesce(`${accuracyMetricName}`.`${missColName}`, `${globalMetricName}`.`${missColName}`) AS `${missColName}`, -// |coalesce(`${globalMetricName}`.`${totalColName}`, `${accuracyMetricName}`.`${totalColName}`) AS `${totalColName}`, -// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}`, -// |(`${totalColName}` = 0) AS `empty`, -// |(`${missColName}` = 0) AS `no_miss`, -// |(`${accuracyMetricName}`.`${missColName}` < `${globalMetricName}`.`${missColName}`) AS `update` -// |FROM `${globalMetricName}` FULL JOIN `${accuracyMetricName}` -// |ON `${globalMetricName}`.`${InternalColumns.tmst}` = `${accuracyMetricName}`.`${InternalColumns.tmst}` -// """.stripMargin -// } else { -// s""" -// |SELECT `${accuracyMetricName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, -// |`${accuracyMetricName}`.`${missColName}` AS `${missColName}`, -// |`${accuracyMetricName}`.`${totalColName}` AS `${totalColName}`, -// |(`${totalColName}` - `${missColName}`) AS `${matchedColName}`, -// |(`${totalColName}` = 0) AS `empty`, -// |(`${missColName}` = 0) AS `no_miss`, -// |true AS `update` -// |FROM `${accuracyMetricName}` -// """.stripMargin -// } -// val globalAccuParams = Map[String, Any]( -// ("global" -> true) -// ) -// val mergeRuleInfo = RuleInfo(globalMetricName, None, SparkSqlType, -// globalAccuSql, globalAccuParams, true) -// -// // 6. persist metrics -// val persistMetricName = "persist" -// val persistSql = { -// s""" -// |SELECT `${InternalColumns.tmst}`, `${missColName}`, `${totalColName}`, `${matchedColName}` -// |FROM `${globalMetricName}` -// |WHERE `update` -// """.stripMargin -// } -// val persistParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) -// val persistRuleInfo = RuleInfo(persistMetricName, None, SparkSqlType, -// persistSql, persistParams, true) -// -// // 5. accuracy metric filter -//// val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) -//// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -//// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) -//// val accuracyRuleInfo = RuleInfo(accuracyMetricName, None, DfOprType, -//// "accuracy", accuracyParams, true) -// -//// missRecordsRuleInfo :: missRuleInfo :: totalRuleInfo :: -//// accuracyMetricRuleInfo :: accuracyRuleInfo :: Nil -// missRecordsRuleInfo :: missRuleInfo :: totalRuleInfo :: -// accuracyMetricRuleInfo :: mergeRuleInfo :: persistRuleInfo :: Nil -// } -// } - -// private def accuracyRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { -// val calcTime = timeInfo.calcTime -// val details = ruleInfo.details -// val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) -// val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) -// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) -// -// if (!TempTables.existTable(timeInfo.key, sourceName)) { -// Nil -// } else { -// // 1. miss record -// val missRecordsSql = if (!TempTables.existTable(timeInfo.key, targetName)) { -// val selClause = s"`${sourceName}`.*" -// s"SELECT ${selClause} FROM `${sourceName}`" -// } else { -// val selClause = s"`${sourceName}`.*" -// val onClause = expr.coalesceDesc -// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val targetIsNull = analyzer.targetSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" -// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" -// } -// val missRecordsName = AccuracyKeys._missRecords -//// val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) -// val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) -// .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) -// val missRecordsRuleInfo = RuleInfo(missRecordsName, None, SparkSqlType, -// missRecordsSql, missRecordsParams, true) -//// val missRecordsStep = SparkSqlStep( -//// timeInfo, -//// RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) -//// ) -// -// // 2. miss count -// val missTableName = "_miss_" -// // val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) -// val missColName = details.getStringOrKey(AccuracyKeys._miss) -// val missSql = { -// s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" -// } -// val missRuleInfo = RuleInfo(missTableName, None, SparkSqlType, -// missSql, Map[String, Any](), false) -//// val missStep = SparkSqlStep( -//// timeInfo, -//// RuleInfo(missTableName, None, missSql, Map[String, Any]()) -//// ) -// -// // 3. total count -// val totalTableName = "_total_" -// // val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) -// val totalColName = details.getStringOrKey(AccuracyKeys._total) -// val totalSql = { -// s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" -// } -// val totalRuleInfo = RuleInfo(totalTableName, None, SparkSqlType, -// totalSql, Map[String, Any](), false) -//// val totalStep = SparkSqlStep( -//// timeInfo, -//// RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) -//// ) -// -// // 4. accuracy metric -// val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleInfo.name) -//// val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) -// val matchedColName = details.getStringOrKey(AccuracyKeys._matched) -// val accuracyMetricSql = { -// s""" -// |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, -// |`${totalTableName}`.`${totalColName}` AS `${totalColName}` -// |FROM `${totalTableName}` FULL JOIN `${missTableName}` -// """.stripMargin -// } -// // val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// val accuracyMetricRuleInfo = RuleInfo(accuracyMetricName, None, SparkSqlType, -// accuracyMetricSql, Map[String, Any](), false) -//// val accuracyMetricStep = SparkSqlStep( -//// timeInfo, -//// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, Map[String, Any]()) -//// ) -// -// // 5. accuracy metric filter -// val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) -// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) -// val accuracyRuleInfo = RuleInfo(accuracyMetricName, None, DfOprType, -// "accuracy", accuracyParams, false) -//// val accuracyStep = DfOprStep( -//// timeInfo, -//// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), "accuracy", accuracyParams) -//// ) -// -// missRecordsRuleInfo :: missRuleInfo :: totalRuleInfo :: -// accuracyMetricRuleInfo :: accuracyRuleInfo :: Nil -// } -// } - -// private def profilingRuleInfos(ruleInfo: RuleInfo, expr: Expr, timeInfo: TimeInfo): Seq[RuleInfo] = { -// val details = ruleInfo.details -// val profilingClause = expr.asInstanceOf[ProfilingClause] -// val sourceName = profilingClause.fromClauseOpt match { -// case Some(fc) => fc.dataSource -// case _ => details.getString(ProfilingKeys._source, dataSourceNames.head) -// } -// val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc -// -// if (!TempTables.existTable(timeInfo.key, sourceName)) { -// Nil -// } else { -// val tmstAnalyzer = ProfilingAnalyzer(profilingClause, sourceName) -// -// val selExprDescs = tmstAnalyzer.selectionExprs.map { sel => -// val alias = sel match { -// case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" -// case _ => "" -// } -// s"${sel.desc}${alias}" -// } -// val selCondition = profilingClause.selectClause.extraConditionOpt.map(_.desc).mkString -// val selClause = selExprDescs.mkString(", ") -//// val tmstFromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc -// val groupByClauseOpt = tmstAnalyzer.groupbyExprOpt -// val groupbyClause = groupByClauseOpt.map(_.desc).getOrElse("") -// val preGroupbyClause = tmstAnalyzer.preGroupbyExprs.map(_.desc).mkString(" ") -// val postGroupbyClause = tmstAnalyzer.postGroupbyExprs.map(_.desc).mkString(" ") -// -// // 1. select statement -// val profilingSql = { -// s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" -// } -// // println(profilingSql) -// val metricName = details.getString(RuleDetailKeys._persistName, ruleInfo.name) -// // val tmstMetricName = TempName.tmstName(metricName, timeInfo) -// val profilingParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, metricName) -// val profilingRuleInfo = ruleInfo.setDslType(SparkSqlType) -// .setRule(profilingSql).setDetails(profilingParams) -//// val profilingStep = SparkSqlStep( -//// timeInfo, -//// ruleInfo.setRule(profilingSql).setDetails(profilingParams) -//// ) -// -// // filterStep :: profilingStep :: Nil -// profilingRuleInfo :: Nil -// } -// } - -// def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] = { -// val ruleInfo = RuleInfoGen(param, timeInfo) -// val dqType = RuleInfoGen.dqType(param) -// GriffinDslStep(timeInfo, ruleInfo, dqType) :: Nil -// } -// -// def adaptConcreteRuleStep(ruleStep: RuleStep -// ): Seq[ConcreteRuleStep] = { -// ruleStep match { -// case rs @ GriffinDslStep(_, ri, dqType) => { -// try { -// val result = parser.parseRule(ri.rule, dqType) -// if (result.successful) { -// val expr = result.get -// transConcreteRuleStep(rs, expr) -// } else { -// println(result) -// warn(s"adapt concrete rule step warn: parse rule [ ${ri.rule} ] fails") -// Nil -// } -// } catch { -// case e: Throwable => { -// error(s"adapt concrete rule step error: ${e.getMessage}") -// Nil -// } -// } -// } -// case _ => Nil -// } -// } -// -// private def transConcreteRuleStep(ruleStep: GriffinDslStep, expr: Expr -// ): Seq[ConcreteRuleStep] = { -// ruleStep.dqType match { -// case AccuracyType => transAccuracyRuleStep(ruleStep, expr) -// case ProfilingType => transProfilingRuleStep(ruleStep, expr) -// case TimelinessType => Nil -// case _ => Nil -// } -// } - -// private def transAccuracyRuleStep(ruleStep: GriffinDslStep, expr: Expr -// ): Seq[ConcreteRuleStep] = { -// val timeInfo = ruleStep.timeInfo -// val ruleInfo = ruleStep.ruleInfo -// val calcTime = timeInfo.calcTime -// val tmst = timeInfo.tmst -// -// val details = ruleInfo.details -// val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) -// val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) -// val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) -// -// if (!TempTables.existTable(key(calcTime), sourceName)) { -// Nil -// } else { -// // 1. miss record -// val missRecordsSql = if (!TempTables.existTable(key(calcTime), targetName)) { -// val selClause = s"`${sourceName}`.*" -// s"SELECT ${selClause} FROM `${sourceName}`" -// } else { -// val selClause = s"`${sourceName}`.*" -// val onClause = expr.coalesceDesc -// val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val targetIsNull = analyzer.targetSelectionExprs.map { sel => -// s"${sel.desc} IS NULL" -// }.mkString(" AND ") -// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" -// s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" -// } -// val missRecordsName = AccuracyKeys._missRecords -// val tmstMissRecordsName = TempName.tmstName(missRecordsName, timeInfo) -// val missRecordsParams = details.getParamMap(AccuracyKeys._missRecords) -// .addIfNotExist(RuleDetailKeys._persistType, RecordPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, missRecordsName) -// val missRecordsStep = SparkSqlStep( -// timeInfo, -// RuleInfo(missRecordsName, Some(tmstMissRecordsName), missRecordsSql, missRecordsParams) -// ) -// -// // 2. miss count -// val missTableName = "_miss_" -//// val tmstMissTableName = TempName.tmstName(missTableName, timeInfo) -// val missColName = details.getStringOrKey(AccuracyKeys._miss) -// val missSql = { -// s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsName}`" -// } -// val missStep = SparkSqlStep( -// timeInfo, -// RuleInfo(missTableName, None, missSql, Map[String, Any]()) -// ) -// -// // 3. total count -// val totalTableName = "_total_" -//// val tmstTotalTableName = TempName.tmstName(totalTableName, timeInfo) -// val totalColName = details.getStringOrKey(AccuracyKeys._total) -// val totalSql = { -// s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" -// } -// val totalStep = SparkSqlStep( -// timeInfo, -// RuleInfo(totalTableName, None, totalSql, Map[String, Any]()) -// ) -// -// // 4. accuracy metric -// val accuracyMetricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) -// val tmstAccuracyMetricName = TempName.tmstName(accuracyMetricName, timeInfo) -// val matchedColName = details.getStringOrKey(AccuracyKeys._matched) -// val accuracyMetricSql = { -// s""" -// |SELECT `${missTableName}`.`${missColName}` AS `${missColName}`, -// |`${totalTableName}`.`${totalColName}` AS `${totalColName}` -// |FROM `${totalTableName}` FULL JOIN `${missTableName}` -// """.stripMargin -// } -//// val accuracyParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// val accuracyMetricStep = SparkSqlStep( -// timeInfo, -// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), accuracyMetricSql, Map[String, Any]()) -// ) -// -// // 5. accuracy metric filter -// val accuracyParams = details.addIfNotExist("df.name", accuracyMetricName) -// .addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, accuracyMetricName) -// val accuracyStep = DfOprStep( -// timeInfo, -// RuleInfo(accuracyMetricName, Some(tmstAccuracyMetricName), "accuracy", accuracyParams) -// ) -// -// missRecordsStep :: missStep :: totalStep :: accuracyMetricStep :: accuracyStep :: Nil -// } -// } - -// private def transProfilingRuleStep(ruleStep: GriffinDslStep, expr: Expr -// ): Seq[ConcreteRuleStep] = { -// val calcTime = ruleStep.timeInfo.calcTime -// val details = ruleStep.ruleInfo.details -// val profilingClause = expr.asInstanceOf[ProfilingClause] -// val sourceName = profilingClause.fromClauseOpt match { -// case Some(fc) => fc.dataSource -// case _ => details.getString(ProfilingKeys._source, dataSourceNames.head) -// } -// val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc -// -// if (!TempTables.existTable(key(calcTime), sourceName)) { -// Nil -// } else { -// val timeInfo = ruleStep.timeInfo -// val ruleInfo = ruleStep.ruleInfo -// val tmst = timeInfo.tmst -// -//// val tmstSourceName = TempName.tmstName(sourceName, timeInfo) -// -//// val tmstProfilingClause = profilingClause.map(dsHeadReplace(sourceName, tmstSourceName)) -// val tmstAnalyzer = ProfilingAnalyzer(profilingClause, sourceName) -// -// val selExprDescs = tmstAnalyzer.selectionExprs.map { sel => -// val alias = sel match { -// case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" -// case _ => "" -// } -// s"${sel.desc}${alias}" -// } -// val selCondition = profilingClause.selectClause.extraConditionOpt.map(_.desc).mkString -// val selClause = selExprDescs.mkString(", ") -//// val tmstFromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc -// val groupByClauseOpt = tmstAnalyzer.groupbyExprOpt -// val groupbyClause = groupByClauseOpt.map(_.desc).getOrElse("") -// val preGroupbyClause = tmstAnalyzer.preGroupbyExprs.map(_.desc).mkString(" ") -// val postGroupbyClause = tmstAnalyzer.postGroupbyExprs.map(_.desc).mkString(" ") -// -// // 1. select statement -// val profilingSql = { -// s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" -// } -//// println(profilingSql) -// val metricName = details.getString(RuleDetailKeys._persistName, ruleStep.name) -//// val tmstMetricName = TempName.tmstName(metricName, timeInfo) -// val profilingParams = details.addIfNotExist(RuleDetailKeys._persistType, MetricPersistType.desc) -// .addIfNotExist(RuleDetailKeys._persistName, metricName) -// val profilingStep = SparkSqlStep( -// timeInfo, -// ruleInfo.setRule(profilingSql).setDetails(profilingParams) -// ) -// -//// filterStep :: profilingStep :: Nil -// profilingStep :: Nil -// } -// -// } - -// private def dsHeadReplace(originName: String, replaceName: String): (Expr) => Expr = { expr: Expr => -// expr match { -// case DataSourceHeadExpr(sn) if (sn == originName) => { -// DataSourceHeadExpr(replaceName) -// } -// case FromClause(sn) if (sn == originName) => { -// FromClause(replaceName) -// } -// case _ => expr.map(dsHeadReplace(originName, replaceName)) -// } -// } - } From 25dafb912f063da355a258df11e121e57bb374f2 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 10 Jan 2018 15:11:57 +0800 Subject: [PATCH 102/177] remove comment --- .../apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala | 1 - 1 file changed, 1 deletion(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index d0523eeff..98545d8d8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -61,7 +61,6 @@ object TimelinessKeys { object GlobalKeys { val _initRule = "init.rule" -// val _globalMetricKeep = "global.metric.keep" } case class GriffinDslAdaptor(dataSourceNames: Seq[String], From b4284b5de84e99d99806ce11ed5be1fff38fc5ac Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 11 Jan 2018 10:37:18 +0800 Subject: [PATCH 103/177] sample doc update --- griffin-doc/measure/measure-batch-sample.md | 64 ++++++++++-------- .../measure/measure-configuration-guide.md | 66 +++++++++++-------- 2 files changed, 75 insertions(+), 55 deletions(-) diff --git a/griffin-doc/measure/measure-batch-sample.md b/griffin-doc/measure/measure-batch-sample.md index 3783f9477..544adc708 100644 --- a/griffin-doc/measure/measure-batch-sample.md +++ b/griffin-doc/measure/measure-batch-sample.md @@ -29,50 +29,50 @@ Measures consists of batch measure and streaming measure. This document is for t "data.sources": [ { - "name": "src", + "name": "source", + "baseline": true, "connectors": [ { "type": "avro", "version": "1.7", "config": { - "file.name": "users_info_src.avro" + "file.name": "src/test/resources/users_info_src.avro" } } ] }, { - "name": "tgt", + "name": "target", "connectors": [ { "type": "avro", "version": "1.7", "config": { - "file.name": "users_info_target.avro" + "file.name": "src/test/resources/users_info_target.avro" } } ] } ], - "evaluateRule": { + "evaluate.rule": { "rules": [ { "dsl.type": "griffin-dsl", "dq.type": "accuracy", - "rule": "src.user_id = tgt.user_id AND upper(src.first_name) = upper(tgt.first_name) AND src.last_name = tgt.last_name", + "name": "accu", + "rule": "source.user_id = target.user_id AND upper(source.first_name) = upper(target.first_name) AND source.last_name = target.last_name AND source.address = target.address AND source.email = target.email AND source.phone = target.phone AND source.post_code = target.post_code", "details": { - "source": "src", - "target": "tgt", - "miss.records": { - "name": "miss.records", - "persist.type": "record" - }, - "accuracy": { - "name": "accu", - "persist.type": "metric" - }, + "source": "source", + "target": "target", "miss": "miss_count", "total": "total_count", "matched": "matched_count" + }, + "metric": { + "name": "accu" + }, + "record": { + "name": "missRecords" } } ] @@ -92,7 +92,7 @@ The miss records of source will be persisted as record. ## Batch Profiling Sample ``` { - "name": "prof_batch_test", + "name": "prof_batch", "process.type": "batch", @@ -101,29 +101,35 @@ The miss records of source will be persisted as record. "name": "source", "connectors": [ { - "type": "hive", - "version": "1.2", + "type": "avro", + "version": "1.7", "config": { - "database": "griffin", - "table.name": "demo_src" + "file.name": "src/test/resources/users_info_src.avro" } } ] } ], - "evaluateRule": { + "evaluate.rule": { "rules": [ { "dsl.type": "griffin-dsl", "dq.type": "profiling", - "rule": "country, country.count() as cnt group by country order by cnt desc limit 3", - "details": { - "source": "source", - "profiling": { - "name": "cntry-group", - "persist.type": "metric" - } + "name": "prof", + "rule": "select count(*) as `cnt`, count(distinct `post_code`) as `dis-cnt`, max(user_id) as `max` from source", + "metric": { + "name": "prof" + } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "grp", + "rule": "select post_code as `pc`, count(*) as `cnt` from source group by post_code", + "metric": { + "name": "post_group", + "collect.type": "array" } } ] diff --git a/griffin-doc/measure/measure-configuration-guide.md b/griffin-doc/measure/measure-configuration-guide.md index 06329276d..5ac7e5f06 100644 --- a/griffin-doc/measure/measure-configuration-guide.md +++ b/griffin-doc/measure/measure-configuration-guide.md @@ -136,26 +136,25 @@ Above lists environment parameters. } ], - "evaluateRule": { + "evaluate.rule": { "rules": [ { "dsl.type": "griffin-dsl", "dq.type": "accuracy", - "rule": "src.user_id = tgt.user_id AND upper(src.first_name) = upper(tgt.first_name) AND src.last_name = tgt.last_name", + "name": "accu", + "rule": "source.user_id = target.user_id AND upper(source.first_name) = upper(target.first_name) AND source.last_name = target.last_name AND source.address = target.address AND source.email = target.email AND source.phone = target.phone AND source.post_code = target.post_code", "details": { - "source": "src", - "target": "tgt", - "miss.records": { - "name": "miss.records", - "persist.type": "record" - }, - "accuracy": { - "name": "accu", - "persist.type": "metric" - }, + "source": "source", + "target": "target", "miss": "miss_count", "total": "total_count", "matched": "matched_count" + }, + "metric": { + "name": "accu" + }, + "record": { + "name": "missRecords" } } ] @@ -193,19 +192,34 @@ Above lists DQ job configure parameters. ### Rule - **dsl.type**: Rule dsl type, "spark-sql", "df-opr" and "griffin-dsl". -- **name** (step information): Result table name of this rule, optional for "griffin-dsl" type. -- **persist.type** (step information): Persist type of result table, optional for "griffin-dsl" type. Supporting "metric", "record" and "none" type, "metric" type indicates the result will be persisted as metrics, "record" type indicates the result will be persisted as record only, "none" type indicates the result will not be persisted. Default is "none" type. -- **update.data.source** (step information): If the result table needs to update the data source, this parameter is the data source name, for streaming accuracy case, optional. - **dq.type**: DQ type of this rule, only for "griffin-dsl" type, supporting "accuracy" and "profiling". +- **name** (step information): Result table name of this rule, optional for "griffin-dsl" type. +- **rule**: The rule string. - **details**: Details of this rule, optional. - + accuracy dq type detail configuration - * source: the data source name which as source in accuracy, default is the name of first data source in "data.sources" if not configured. - * target: the data source name which as target in accuracy, default is the name of second data source in "data.sources" if not configured. - * miss.records: step information of miss records result table step in accuracy. - * accuracy: step information of accuracy result table step in accuracy. - * miss: alias of miss column in result table. - * total: alias of total column in result table. - * matched: alias of matched column in result table. - + profiling dq type detail configuration - * source: the data source name which as source in profiling, default is the name of first data source in "data.sources" if not configured. If the griffin-dsl rule contains from clause, this parameter is ignored. - * profiling: step information of profiling result table step in profiling. \ No newline at end of file + + accuracy dq type detail configuration + * source: the data source name which as source in accuracy, default is the name of first data source in "data.sources" if not configured. + * target: the data source name which as target in accuracy, default is the name of second data source in "data.sources" if not configured. + * miss: the miss count name in metric, optional. + * total: the total count name in metric, optional. + * matched: the matched count name in metric, optional. + + profiling dq type detail configuration + * source: the data source name which as source in profiling, default is the name of first data source in "data.sources" if not configured. If the griffin-dsl rule contains from clause, this parameter is ignored. + + uniqueness dq type detail configuration + * source: name of data source to measure uniqueness. + * target: name of data source to compare with. It is always the same as source, or more than source. + * unique: the unique count name in metric, optional. + * total: the total count name in metric, optional. + * dup: the duplicate count name in metric, optional. + * num: the duplicate number name in metric, optional. + * duplication.array: optional, if set as a non-empty string, the duplication metric will be computed, and the group metric name is this string. + + timeliness dq type detail configuration + * source: name of data source to measure timeliness. + * latency: the latency column name in metric, optional. + * threshold: optional, if set as a time string like "1h", the items with latency more than 1 hour will be record. +- **metric**: Configuration of metric export. + + name: name of metric. + + collect.type: collect metric as the type set, including "default", "entries", "array", "map", optional. +- **record**: Configuration of record export. + + name: name of record. + + data.source.cache: optional, if set as data source name, the cache of this data source will be updated by the records, always used in streaming accuracy case. + + origin.DF: avaiable only if "data.source.cache" is set, the origin data frame name of records. \ No newline at end of file From 2a91687ad485db083d972b126acd2789cd6571cf Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 11 Jan 2018 21:03:46 +0800 Subject: [PATCH 104/177] distinct --- .../data/connector/DataConnector.scala | 2 +- .../measure/process/BatchDqProcess.scala | 2 +- .../measure/process/StreamingDqThread.scala | 84 +++----- .../measure/process/engine/DqEngines.scala | 4 +- .../process/engine/SparkDqEngine.scala | 42 ++-- .../rule/adaptor/DataFrameOprAdaptor.scala | 5 +- .../rule/adaptor/GriffinDslAdaptor.scala | 198 ++++++++++++++---- .../measure/rule/adaptor/RuleAdaptor.scala | 21 +- .../rule/adaptor/RuleAdaptorGroup.scala | 3 +- .../rule/adaptor/SparkSqlAdaptor.scala | 5 +- .../griffin/measure/rule/dsl/DqType.scala | 7 +- .../dsl/analyzer/DistinctnessAnalyzer.scala | 46 ++++ .../rule/dsl/expr/ClauseExpression.scala | 8 + .../rule/dsl/parser/GriffinDslParser.scala | 9 + .../measure/rule/plan/MetricExport.scala | 5 +- .../measure/rule/plan/RecordExport.scala | 5 +- .../measure/rule/plan/RuleExport.scala | 4 + .../_distinctness-batch-griffindsl.json | 56 +++++ .../_distinctness-streaming-griffindsl.json | 116 ++++++++++ 19 files changed, 491 insertions(+), 131 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala create mode 100644 measure/src/test/resources/_distinctness-batch-griffindsl.json create mode 100644 measure/src/test/resources/_distinctness-streaming-griffindsl.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 6fafebff9..a261a6d2b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -72,7 +72,7 @@ trait DataConnector extends Loggable with Serializable { TableRegisters.registerRunTempTable(df, timeInfo.key, thisTable) // val dsTmsts = Map[String, Set[Long]]((thisTable -> Set[Long](ms))) - val tmsts = Seq[Long](ms) +// val tmsts = Seq[Long](ms) // generate rule steps val rulePlan = RuleAdaptorGroup.genRulePlan( diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 7ed4717ba..78edbcfb3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -94,7 +94,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // init data sources val dsTmsts = dqEngines.loadData(dataSources, calcTimeInfo) - debug(s"data source timestamps: ${dsTmsts}") + println(s"data source timestamps: ${dsTmsts}") // generate rule steps // val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 39444cd16..9575eff0f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -29,7 +29,7 @@ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngines import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} -import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} +import org.apache.griffin.measure.rule.adaptor.{ProcessDetailsKeys, RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.plan._ import org.apache.spark.sql.SQLContext @@ -68,11 +68,14 @@ case class StreamingDqThread(sqlContext: SQLContext, val rulePlan = RuleAdaptorGroup.genRulePlan( calcTimeInfo, evaluateRuleParam, StreamingProcessType) + // optimize rule plan + val optRulePlan = optimizeRulePlan(rulePlan, dsTmsts) + // ruleSteps.foreach(println) // run rules // dqEngines.runRuleSteps(ruleSteps) - dqEngines.runRuleSteps(calcTimeInfo, rulePlan.ruleSteps) + dqEngines.runRuleSteps(calcTimeInfo, optRulePlan.ruleSteps) val ct = new Date().getTime val calculationTimeStr = s"calculation using time: ${ct - st} ms" @@ -81,7 +84,7 @@ case class StreamingDqThread(sqlContext: SQLContext, // persist results // val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) - dqEngines.persistAllMetrics(calcTimeInfo, rulePlan.metricExports, + dqEngines.persistAllMetrics(calcTimeInfo, optRulePlan.metricExports, StreamingProcessType, persistFactory) // println(s"--- timeGroups: ${timeGroups}") @@ -90,7 +93,7 @@ case class StreamingDqThread(sqlContext: SQLContext, appPersist.log(rt, persistResultTimeStr) // persist records - dqEngines.persistAllRecords(calcTimeInfo, rulePlan.recordExports, + dqEngines.persistAllRecords(calcTimeInfo, optRulePlan.recordExports, StreamingProcessType, persistFactory, dataSources) val et = new Date().getTime @@ -167,54 +170,29 @@ case class StreamingDqThread(sqlContext: SQLContext, } } -// // calculate accuracy between source data and target data -// private def accuracy(sourceData: RDD[(Product, (Map[String, Any], Map[String, Any]))], -// targetData: RDD[(Product, (Map[String, Any], Map[String, Any]))], -// ruleAnalyzer: RuleAnalyzer) = { -// // 1. cogroup -// val allKvs = sourceData.cogroup(targetData) -// -// // 2. accuracy calculation -// val (accuResult, missingRdd, matchedRdd) = AccuracyCore.accuracy(allKvs, ruleAnalyzer) -// -// (accuResult, missingRdd, matchedRdd) -// } -// -// private def reorgByTimeGroup(rdd: RDD[(Product, (Map[String, Any], Map[String, Any]))] -// ): RDD[(Long, (Product, (Map[String, Any], Map[String, Any])))] = { -// rdd.flatMap { row => -// val (key, (value, info)) = row -// val b: Option[(Long, (Product, (Map[String, Any], Map[String, Any])))] = info.get(TimeStampInfo.key) match { -// case Some(t: Long) => Some((t, row)) -// case _ => None -// } -// b -// } -// } -// -// // convert data into a string -// def record2String(rec: (Product, (Map[String, Any], Map[String, Any])), dataPersist: Iterable[Expr], infoPersist: Iterable[Expr]): String = { -// val (key, (data, info)) = rec -// val persistData = getPersistMap(data, dataPersist) -// val persistInfo = info.mapValues { value => -// value match { -// case vd: Map[String, Any] => getPersistMap(vd, infoPersist) -// case v => v -// } -// }.map(identity) -// s"${persistData} [${persistInfo}]" -// } -// -// // get the expr value map of the persist expressions -// private def getPersistMap(data: Map[String, Any], persist: Iterable[Expr]): Map[String, Any] = { -// val persistMap = persist.map(e => (e._id, e.desc)).toMap -// data.flatMap { pair => -// val (k, v) = pair -// persistMap.get(k) match { -// case Some(d) => Some((d -> v)) -// case _ => None -// } -// } -// } + private def optimizeRulePlan(rulePlan: RulePlan, dsTmsts: Map[String, Set[Long]]): RulePlan = { + val steps = rulePlan.ruleSteps + val optExports = rulePlan.ruleExports.flatMap { export => + findRuleStepByName(steps, export.stepName).map { rs => + rs.details.get(ProcessDetailsKeys._baselineDataSource) match { + case Some(dsname: String) => { + val defTmstOpt = (dsTmsts.get(dsname)).flatMap { set => + try { Some(set.max) } catch { case _: Throwable => None } + } + defTmstOpt match { + case Some(t) => export.setDefTimestamp(t) + case _ => export + } + } + case _ => export + } + } + } + RulePlan(steps, optExports) + } + + private def findRuleStepByName(steps: Seq[RuleStep], name: String): Option[RuleStep] = { + steps.filter(_.name == name).headOption + } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 03ee208e4..580fa1893 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -57,8 +57,8 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { procType: ProcessType, persistFactory: PersistFactory ): Unit = { val allMetrics: Map[Long, Map[String, Any]] = { - metricExports.foldLeft(Map[Long, Map[String, Any]]()) { (ret, step) => - val metrics = collectMetrics(timeInfo, step, procType) + metricExports.foldLeft(Map[Long, Map[String, Any]]()) { (ret, metricExport) => + val metrics = collectMetrics(timeInfo, metricExport, procType) metrics.foldLeft(ret) { (total, pair) => val (k, v) = pair total.get(k) match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index f1e12d2ba..54a03012f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -71,17 +71,17 @@ trait SparkDqEngine extends DqEngine { def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport, procType: ProcessType ): Map[Long, Map[String, Any]] = { if (collectable) { - val MetricExport(name, stepName, collectType) = metricExport + val MetricExport(name, stepName, collectType, defTmst) = metricExport try { val metricMaps = getMetricMaps(stepName) procType match { case BatchProcessType => { val metrics: Map[String, Any] = normalizeMetric(metricMaps, name, collectType) - emptyMetricMap + (timeInfo.calcTime -> metrics) + emptyMetricMap + (defTmst -> metrics) } case StreamingProcessType => { val tmstMetrics = metricMaps.map { metric => - val tmst = metric.getLong(InternalColumns.tmst, timeInfo.calcTime) + val tmst = metric.getLong(InternalColumns.tmst, defTmst) val pureMetric = metric.removeKeys(InternalColumns.columns) (tmst, pureMetric) } @@ -103,10 +103,18 @@ trait SparkDqEngine extends DqEngine { } + private def getTmst(row: Row, defTmst: Long): Long = { + try { + row.getAs[Long](InternalColumns.tmst) + } catch { + case _: Throwable => defTmst + } + } + def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport, procType: ProcessType ): Map[Long, DataFrame] = { if (collectable) { - val RecordExport(_, stepName, _, originDFOpt) = recordExport + val RecordExport(_, stepName, _, originDFOpt, defTmst) = recordExport val stepDf = sqlContext.table(s"`${stepName}`") val recordsDf = originDFOpt match { case Some(originName) => sqlContext.table(s"`${originName}`") @@ -116,21 +124,23 @@ trait SparkDqEngine extends DqEngine { procType match { case BatchProcessType => { val recordsDf = sqlContext.table(s"`${stepName}`") - emptyRecordMap + (timeInfo.calcTime -> recordsDf) + emptyRecordMap + (defTmst -> recordsDf) } case StreamingProcessType => { originDFOpt match { case Some(originName) => { val recordsDf = sqlContext.table(s"`${originName}`") - stepDf.collect.map { row => - val tmst = row.getAs[Long](InternalColumns.tmst) - val trdf = recordsDf.filter(s"`${InternalColumns.tmst}` = ${tmst}") + stepDf.map { row => + val tmst = getTmst(row, defTmst) + val trdf = if (recordsDf.columns.contains(InternalColumns.tmst)) { + recordsDf.filter(s"`${InternalColumns.tmst}` = ${tmst}") + } else recordsDf (tmst, trdf) - }.toMap + }.collect.toMap } case _ => { - val recordsDf = sqlContext.table(s"`${stepName}`") - emptyRecordMap + (timeInfo.calcTime -> recordsDf) + val recordsDf = stepDf + emptyRecordMap + (defTmst -> recordsDf) } } } @@ -140,7 +150,7 @@ trait SparkDqEngine extends DqEngine { private def getRecordDataFrame(recordExport: RecordExport): Option[DataFrame] = { if (collectable) { - val RecordExport(_, stepName, _, _) = recordExport + val RecordExport(_, stepName, _, _, defTmst) = recordExport val stepDf = sqlContext.table(s"`${stepName}`") Some(stepDf) } else None @@ -151,14 +161,14 @@ trait SparkDqEngine extends DqEngine { } def collectStreamingRecords(recordExport: RecordExport): (Option[RDD[(Long, Iterable[String])]], Set[Long]) = { - val RecordExport(_, _, _, originDFOpt) = recordExport + val RecordExport(_, _, _, originDFOpt, defTmst) = recordExport getRecordDataFrame(recordExport) match { case Some(stepDf) => { originDFOpt match { case Some(originName) => { val tmsts = (stepDf.collect.flatMap { row => try { - val tmst = row.getAs[Long](InternalColumns.tmst) + val tmst = getTmst(row, defTmst) val empty = row.getAs[Boolean](InternalColumns.empty) Some((tmst, empty)) } catch { @@ -170,7 +180,7 @@ trait SparkDqEngine extends DqEngine { if (recordTmsts.size > 0) { val recordsDf = sqlContext.table(s"`${originName}`") val records = recordsDf.flatMap { row => - val tmst = row.getAs[Long](InternalColumns.tmst) + val tmst = getTmst(row, defTmst) if (recordTmsts.contains(tmst)) { try { val map = SparkRowFormatter.formatRow(row) @@ -186,7 +196,7 @@ trait SparkDqEngine extends DqEngine { } case _ => { val records = stepDf.flatMap { row => - val tmst = row.getAs[Long](InternalColumns.tmst) + val tmst = getTmst(row, defTmst) try { val map = SparkRowFormatter.formatRow(row) val str = JsonUtil.toJson(map) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 5447cccf8..a17dd1656 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -46,10 +46,11 @@ case class DataFrameOprAdaptor() extends RuleAdaptor { import RuleParamKeys._ - def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], procType: ProcessType): RulePlan = { + def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], + procType: ProcessType): RulePlan = { val name = getRuleName(param) val step = DfOprStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) - RulePlan(step :: Nil, genRuleExports(param, name, name)) + RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime)) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 98545d8d8..fc4243b5f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -53,6 +53,16 @@ object UniquenessKeys { val _duplicationArray = "duplication.array" } +object DistinctnessKeys { + val _source = "source" + val _target = "target" + val _distinct = "distinct" + val _total = "total" + val _dup = "dup" + val _num = "num" + val _duplicationArray = "duplication.array" +} + object TimelinessKeys { val _source = "source" val _latency = "latency" @@ -63,6 +73,10 @@ object GlobalKeys { val _initRule = "init.rule" } +object ProcessDetailsKeys { + val _baselineDataSource = "baseline.data.source" +} + case class GriffinDslAdaptor(dataSourceNames: Seq[String], functionNames: Seq[String] ) extends RuleAdaptor { @@ -77,7 +91,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], private val emptyRulePlan = RulePlan(Nil, Nil) private val emptyMap = Map[String, Any]() - override def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], processType: ProcessType + override def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], + processType: ProcessType ): RulePlan = { val name = getRuleName(param) val rule = getRule(param) @@ -90,6 +105,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], case AccuracyType => accuracyRulePlan(timeInfo, name, expr, param, processType) case ProfilingType => profilingRulePlan(timeInfo, name, expr, param, processType) case UniquenessType => uniquenessRulePlan(timeInfo, name, expr, param, processType) + case DistinctnessType => distinctRulePlan(timeInfo, name, expr, param, processType) case TimelinessType => timelinessRulePlan(timeInfo, name, expr, param, processType) case _ => emptyRulePlan } @@ -114,15 +130,17 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) + val ct = timeInfo.calcTime + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { - println(s"[${timeInfo.calcTime}] data source ${sourceName} not exists") + println(s"[${ct}] data source ${sourceName} not exists") emptyRulePlan } else { // 1. miss record val missRecordsTableName = "__missRecords" val selClause = s"`${sourceName}`.*" val missRecordsSql = if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { - println(s"[${timeInfo.calcTime}] data source ${targetName} not exists") + println(s"[${ct}] data source ${targetName} not exists") s"SELECT ${selClause} FROM `${sourceName}`" } else { val onClause = expr.coalesceDesc @@ -139,7 +157,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val missRecordsExports = processType match { case BatchProcessType => { val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - genRecordExport(recordParam, missRecordsTableName, missRecordsTableName) :: Nil + genRecordExport(recordParam, missRecordsTableName, missRecordsTableName, ct) :: Nil } case StreamingProcessType => Nil } @@ -189,7 +207,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuracyExports = processType match { case BatchProcessType => { val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - genMetricExport(metricParam, accuracyTableName, accuracyTableName) :: Nil + genMetricExport(metricParam, accuracyTableName, accuracyTableName, ct) :: Nil } case StreamingProcessType => Nil } @@ -215,7 +233,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuracyMetricStep = DfOprStep(accuracyMetricTableName, accuracyMetricRule, accuracyMetricDetails) val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val accuracyMetricExports = genMetricExport(metricParam, name, accuracyMetricTableName) :: Nil + val accuracyMetricExports = genMetricExport(metricParam, name, accuracyMetricTableName, ct) :: Nil // 6. collect accuracy records val accuracyRecordTableName = "__accuracyRecords" @@ -230,7 +248,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuracyRecordParam = recordParam.addIfNotExist(ExportParamKeys._dataSourceCache, sourceName) .addIfNotExist(ExportParamKeys._originDF, missRecordsTableName) val accuracyRecordExports = genRecordExport( - accuracyRecordParam, missRecordsTableName, accuracyRecordTableName) :: Nil + accuracyRecordParam, missRecordsTableName, accuracyRecordTableName, ct) :: Nil // gen accu plan val extraSteps = accuracyMetricStep :: accuracyRecordStep :: Nil @@ -258,6 +276,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc + val ct = timeInfo.calcTime + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { emptyRulePlan } else { @@ -296,7 +316,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val profilingName = name val profilingStep = SparkSqlStep(profilingName, profilingSql, details) val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val profilingExports = genMetricExport(metricParam, name, profilingName) :: Nil + val profilingExports = genMetricExport(metricParam, name, profilingName, ct) :: Nil RulePlan(profilingStep :: Nil, profilingExports) } @@ -310,11 +330,13 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val targetName = details.getString(UniquenessKeys._target, dataSourceNames.tail.head) val analyzer = UniquenessAnalyzer(expr.asInstanceOf[UniquenessClause], sourceName, targetName) + val ct = timeInfo.calcTime + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { - println(s"[${timeInfo.calcTime}] data source ${sourceName} not exists") + println(s"[${ct}] data source ${sourceName} not exists") emptyRulePlan } else if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { - println(s"[${timeInfo.calcTime}] data source ${targetName} not exists") + println(s"[${ct}] data source ${targetName} not exists") emptyRulePlan } else { val selItemsClause = analyzer.selectionPairs.map { pair => @@ -332,7 +354,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], case StreamingProcessType => InternalColumns.tmst +: aliases } - // 1. source mapping + // 1. source distinct mapping val sourceTableName = "__source" val sourceSql = s"SELECT DISTINCT ${selClause} FROM ${sourceName}" val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) @@ -380,7 +402,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName) + val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, ct) // 6. unique record val uniqueRecordTableName = "__uniqueRecord" @@ -403,32 +425,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val uniqueStep = SparkSqlStep(uniqueTableName, uniqueSql, emptyMap) val uniqueMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val uniqueMetricExport = genMetricExport(uniqueMetricParam, uniqueColName, uniqueTableName) - - // 8. count metric -// val countMetricTableName = "__countMetric" -// val countMetricSql = processType match { -// case BatchProcessType => { -// s""" -// |SELECT `${totalTableName}`.`${totalColName}` AS `${totalColName}`, -// |coalesce(`${uniqueTableName}`.`${uniqueColName}`, 0) AS `${uniqueColName}` -// |FROM `${totalTableName}` LEFT JOIN `${uniqueTableName}` -// """.stripMargin -// } -// case StreamingProcessType => { -// s""" -// |SELECT `${totalTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, -// |`${totalTableName}`.`${totalColName}` AS `${totalColName}`, -// |coalesce(`${uniqueTableName}`.`${uniqueColName}`, 0) AS `${uniqueColName}` -// |FROM `${totalTableName}` LEFT JOIN `${uniqueTableName}` -// |ON `${totalTableName}`.`${InternalColumns.tmst}` = `${uniqueTableName}`.`${InternalColumns.tmst}` -// """.stripMargin -// } -// } -// val countMetricStep = SparkSqlStep(countMetricTableName, countMetricSql, emptyMap) -// val countMetricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) -// .addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) -// val countMetricExport = genMetricExport(countMetricParam, "", countMetricTableName) + val uniqueMetricExport = genMetricExport(uniqueMetricParam, uniqueColName, uniqueTableName, ct) val uniqueSteps = sourceStep :: targetStep :: joinedStep :: groupStep :: totalStep :: uniqueRecordStep :: uniqueStep :: Nil @@ -444,7 +441,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val dupRecordExport = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName) + val dupRecordExport = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName, ct) // 9. duplicate metric val dupMetricTableName = "__dupMetric" @@ -465,7 +462,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct) RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) } else emptyRulePlan @@ -474,6 +471,121 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } + private def distinctRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], processType: ProcessType + ): RulePlan = { + val details = getDetails(param) + val sourceName = details.getString(DistinctnessKeys._source, dataSourceNames.head) + val targetName = details.getString(DistinctnessKeys._target, dataSourceNames.tail.head) + val analyzer = DistinctnessAnalyzer(expr.asInstanceOf[DistinctnessClause], sourceName, targetName) + + val ct = timeInfo.calcTime + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + println(s"[${ct}] data source ${sourceName} not exists") + emptyRulePlan + } else if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { + println(s"[${ct}] data source ${targetName} not exists") + emptyRulePlan + } else { + val selClause = analyzer.selectionPairs.map { pair => + val (expr, alias) = pair + s"${expr.desc} AS `${alias}`" + }.mkString(", ") + val aliases = analyzer.selectionPairs.map(_._2) + + val exportDetails = emptyMap.addIfNotExist(ProcessDetailsKeys._baselineDataSource, sourceName) + + // 1. source distinct mapping + val sourceTableName = "__source" + val sourceSql = s"SELECT DISTINCT ${selClause} FROM ${sourceName}" + val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) + + // 2. target mapping + val targetTableName = "__target" + val targetSql = s"SELECT ${selClause} FROM ${targetName}" + val targetStep = SparkSqlStep(targetTableName, targetSql, emptyMap) + + // 3. joined + val joinedTableName = "__joined" + val joinedSelClause = aliases.map { alias => + s"`${sourceTableName}`.`${alias}` AS `${alias}`" + }.mkString(", ") + val onClause = aliases.map { alias => + s"coalesce(`${sourceTableName}`.`${alias}`, '') = coalesce(`${targetTableName}`.`${alias}`, '')" + }.mkString(" AND ") + val joinedSql = { + s"SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` ON ${onClause}" + } + val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) + + // 4. group + val groupTableName = "__group" + val groupSelClause = aliases.map { alias => + s"`${alias}`" + }.mkString(", ") + val dupColName = details.getStringOrKey(DistinctnessKeys._dup) + val groupSql = { + s"SELECT ${groupSelClause}, (COUNT(*) - 1) AS `${dupColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" + } + val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap, true) + + // 5. total metric + val totalTableName = "__totalMetric" + val totalColName = details.getStringOrKey(DistinctnessKeys._total) + val totalSql = { + s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + } + val totalStep = SparkSqlStep(totalTableName, totalSql, exportDetails) + val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, ct) + + // 6. distinct metric + val distTableName = "__distMetric" + val distColName = details.getStringOrKey(DistinctnessKeys._distinct) + val distSql = { + s"SELECT COUNT(*) AS `${distColName}` FROM `${groupTableName}`" + } + val distStep = SparkSqlStep(distTableName, distSql, exportDetails) + val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, ct) + + val distinctSteps = sourceStep :: targetStep :: joinedStep :: groupStep :: + totalStep :: distStep :: Nil + val distinctExports = totalMetricExport :: distMetricExport :: Nil + val distinctRulePlan = RulePlan(distinctSteps, distinctExports) + + val duplicationArrayName = details.getString(UniquenessKeys._duplicationArray, "") + val dupRulePlan = if (duplicationArrayName.nonEmpty) { + // 7. duplicate record + val dupRecordTableName = "__dupRecords" + val dupRecordSql = { + s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" + } + val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, exportDetails, true) + val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, ct) + + // 8. duplicate metric + val dupMetricTableName = "__dupMetric" + val numColName = details.getStringOrKey(UniquenessKeys._num) + val dupMetricSql = { + s""" + |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` + |FROM `${dupRecordTableName}` GROUP BY ${dupColName} + """.stripMargin + } + val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, exportDetails) + val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct) + + RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) + } else emptyRulePlan + + distinctRulePlan.merge(dupRulePlan) + } + } + private def timelinessRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, param: Map[String, Any], processType: ProcessType ): RulePlan = { @@ -481,6 +593,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val timelinessClause = expr.asInstanceOf[TimelinessClause] val sourceName = details.getString(TimelinessKeys._source, dataSourceNames.head) + val ct = timeInfo.calcTime + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { emptyRulePlan } else { @@ -543,7 +657,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val metricStep = SparkSqlStep(metricTableName, metricSql, emptyMap) val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val metricExports = genMetricExport(metricParam, name, metricTableName) :: Nil + val metricExports = genMetricExport(metricParam, name, metricTableName, ct) :: Nil // current timeliness plan val timeSteps = inTimeStep :: latencyStep :: metricStep :: Nil @@ -559,7 +673,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val recordStep = SparkSqlStep(recordTableName, recordSql, emptyMap) val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val recordExports = genRecordExport(recordParam, recordTableName, recordTableName) :: Nil + val recordExports = genRecordExport(recordParam, recordTableName, recordTableName, ct) :: Nil RulePlan(recordStep :: Nil, recordExports) } case _ => emptyRulePlan diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index ebc8fdbf8..7b40f3ed9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -115,30 +115,35 @@ trait RuleAdaptor extends Loggable with Serializable { RuleParamKeys.getName(param, RuleStepNameGenerator.genName) } - def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], procType: ProcessType): RulePlan + def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], + procType: ProcessType): RulePlan - protected def genRuleExports(param: Map[String, Any], defName: String, stepName: String): Seq[RuleExport] = { + protected def genRuleExports(param: Map[String, Any], defName: String, + stepName: String, defTimestamp: Long + ): Seq[RuleExport] = { val metricOpt = RuleParamKeys.getMetricOpt(param) - val metricExportSeq = metricOpt.map(genMetricExport(_, defName, stepName)).toSeq + val metricExportSeq = metricOpt.map(genMetricExport(_, defName, stepName, defTimestamp)).toSeq val recordOpt = RuleParamKeys.getRecordOpt(param) - val recordExportSeq = recordOpt.map(genRecordExport(_, defName, stepName)).toSeq + val recordExportSeq = recordOpt.map(genRecordExport(_, defName, stepName, defTimestamp)).toSeq metricExportSeq ++ recordExportSeq } - protected def genMetricExport(param: Map[String, Any], name: String, stepName: String + protected def genMetricExport(param: Map[String, Any], name: String, stepName: String, defTimestamp: Long ): MetricExport = { MetricExport( ExportParamKeys.getName(param, name), stepName, - ExportParamKeys.getCollectType(param) + ExportParamKeys.getCollectType(param), + defTimestamp ) } - protected def genRecordExport(param: Map[String, Any], name: String, stepName: String + protected def genRecordExport(param: Map[String, Any], name: String, stepName: String, defTimestamp: Long ): RecordExport = { RecordExport( ExportParamKeys.getName(param, name), stepName, ExportParamKeys.getDataSourceCacheOpt(param), - ExportParamKeys.getOriginDFOpt(param) + ExportParamKeys.getOriginDFOpt(param), + defTimestamp ) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 1e077b16a..ab840efaa 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -114,7 +114,8 @@ object RuleAdaptorGroup { // } // -- gen rule plan -- - def genRulePlan(timeInfo: TimeInfo, evaluateRuleParam: EvaluateRuleParam, procType: ProcessType + def genRulePlan(timeInfo: TimeInfo, evaluateRuleParam: EvaluateRuleParam, + procType: ProcessType ): RulePlan = { val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType val defaultDslType = DslType(dslTypeStr) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index 6b3b7cb9e..538a142d1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -39,10 +39,11 @@ case class SparkSqlAdaptor() extends RuleAdaptor { import RuleParamKeys._ - def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], procType: ProcessType): RulePlan = { + def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], + procType: ProcessType): RulePlan = { val name = getRuleName(param) val step = SparkSqlStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) - RulePlan(step :: Nil, genRuleExports(param, name, name)) + RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime)) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala index 11b67f2ea..18a5919cf 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/DqType.scala @@ -28,7 +28,7 @@ sealed trait DqType { object DqType { private val dqTypes: List[DqType] = List( - AccuracyType, ProfilingType, UniquenessType, TimelinessType, UnknownType + AccuracyType, ProfilingType, UniquenessType, DistinctnessType, TimelinessType, UnknownType ) def apply(ptn: String): DqType = { dqTypes.filter(tp => ptn match { @@ -54,6 +54,11 @@ final case object UniquenessType extends DqType { val desc = "uniqueness" } +final case object DistinctnessType extends DqType { + val regex = "^(?i)distinct$".r + val desc = "distinct" +} + final case object TimelinessType extends DqType { val regex = "^(?i)timeliness$".r val desc = "timeliness" diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala new file mode 100644 index 000000000..f1b9e905d --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala @@ -0,0 +1,46 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.dsl.analyzer + +import org.apache.griffin.measure.rule.dsl.expr._ + + +case class DistinctnessAnalyzer(expr: DistinctnessClause, sourceName: String, targetName: String) extends BasicAnalyzer { + + val seqAlias = (expr: Expr, v: Seq[String]) => { + expr match { + case apr: AliasableExpr => v ++ apr.alias + case _ => v + } + } + val combAlias = (a: Seq[String], b: Seq[String]) => a ++ b + + private val exprs = expr.exprs + private def genAlias(idx: Int): String = s"alias_${idx}" + val selectionPairs = exprs.zipWithIndex.map { pair => + val (pr, idx) = pair + val res = pr.preOrderTraverseDepthFirst(Seq[String]())(seqAlias, combAlias) + (pr, res.headOption.getOrElse(genAlias(idx))) + } + + if (selectionPairs.isEmpty) { + throw new Exception(s"uniqueness analyzer error: empty selection") + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala index 504e176f1..340c1e274 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala @@ -227,6 +227,14 @@ case class UniquenessClause(exprs: Seq[Expr]) extends ClauseExpression { override def map(func: (Expr) => Expr): UniquenessClause = UniquenessClause(exprs.map(func(_))) } +case class DistinctnessClause(exprs: Seq[Expr]) extends ClauseExpression { + addChildren(exprs) + + def desc: String = exprs.map(_.desc).mkString(", ") + def coalesceDesc: String = exprs.map(_.coalesceDesc).mkString(", ") + override def map(func: (Expr) => Expr): DistinctnessClause = DistinctnessClause(exprs.map(func(_))) +} + case class TimelinessClause(exprs: Seq[Expr]) extends ClauseExpression { addChildren(exprs) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala index 83f315397..b129ead44 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala @@ -46,6 +46,14 @@ case class GriffinDslParser(dataSourceNames: Seq[String], functionNames: Seq[Str case exprs => UniquenessClause(exprs) } + /** + * -- distinctness clauses -- + * = [, ]+ + */ + def distinctnessClause: Parser[DistinctnessClause] = rep1sep(expression, Operator.COMMA) ^^ { + case exprs => DistinctnessClause(exprs) + } + /** * -- timeliness clauses -- * = [, ]+ @@ -59,6 +67,7 @@ case class GriffinDslParser(dataSourceNames: Seq[String], functionNames: Seq[Str case AccuracyType => logicalExpression case ProfilingType => profilingClause case UniquenessType => uniquenessClause + case DistinctnessType => distinctnessClause case TimelinessType => timelinessClause case _ => expression } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala index 10f1f9b14..1e206f00d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala @@ -22,7 +22,10 @@ import org.apache.griffin.measure.rule.dsl._ case class MetricExport(name: String, stepName: String, - collectType: CollectType + collectType: CollectType, + defTimestamp: Long ) extends RuleExport { + def setDefTimestamp(t: Long): RuleExport = MetricExport(name, stepName, collectType, t) + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala index a46754326..c2d9b3dd7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala @@ -21,7 +21,10 @@ package org.apache.griffin.measure.rule.plan case class RecordExport(name: String, stepName: String, dataSourceCacheOpt: Option[String], - originDFOpt: Option[String] + originDFOpt: Option[String], + defTimestamp: Long ) extends RuleExport { + def setDefTimestamp(t: Long): RuleExport = RecordExport(name, stepName, dataSourceCacheOpt, originDFOpt, t) + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala index 26a962a13..20825373a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala @@ -24,4 +24,8 @@ trait RuleExport extends Serializable { val stepName: String // the dependant step name + val defTimestamp: Long // the default timestamp if tmst not in value + + def setDefTimestamp(t: Long): RuleExport + } diff --git a/measure/src/test/resources/_distinctness-batch-griffindsl.json b/measure/src/test/resources/_distinctness-batch-griffindsl.json new file mode 100644 index 000000000..985c78213 --- /dev/null +++ b/measure/src/test/resources/_distinctness-batch-griffindsl.json @@ -0,0 +1,56 @@ +{ + "name": "dist_batch", + + "process.type": "batch", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + }, + { + "name": "target", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/users_info_src.avro" + } + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "distinct", + "name": "dist", + "rule": "user_id", + "details": { + "source": "source", + "target": "target", + "total": "total", + "distinct": "distinct", + "dup": "dup", + "num": "num", + "duplication.array": "dup" + }, + "metric": { + "name": "distinct" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_distinctness-streaming-griffindsl.json b/measure/src/test/resources/_distinctness-streaming-griffindsl.json new file mode 100644 index 000000000..1fd31d21a --- /dev/null +++ b/measure/src/test/resources/_distinctness-streaming-griffindsl.json @@ -0,0 +1,116 @@ +{ + "name": "dist_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "new", + "baseline": true, + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "new", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "ttt", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/new", + "info.path": "new", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["0", "0"] + } + }, + { + "name": "old", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "old", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "ttt", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/old", + "info.path": "old", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-24h", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "distinct", + "name": "dist", + "rule": "name, age", + "details": { + "source": "new", + "target": "old", + "total": "total", + "distinct": "distinct", + "dup": "dup", + "num": "num", + "duplication.array": "dup" + }, + "metric": { + "name": "distinct" + } + } + ] + } +} \ No newline at end of file From bf84f2942dd7db94c85befe9dc94c684a9f2b6e6 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 12 Jan 2018 10:44:14 +0800 Subject: [PATCH 105/177] dist --- .../test/resources/_distinctness-streaming-griffindsl.json | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/measure/src/test/resources/_distinctness-streaming-griffindsl.json b/measure/src/test/resources/_distinctness-streaming-griffindsl.json index 1fd31d21a..4106b255f 100644 --- a/measure/src/test/resources/_distinctness-streaming-griffindsl.json +++ b/measure/src/test/resources/_distinctness-streaming-griffindsl.json @@ -102,10 +102,7 @@ "source": "new", "target": "old", "total": "total", - "distinct": "distinct", - "dup": "dup", - "num": "num", - "duplication.array": "dup" + "distinct": "distinct" }, "metric": { "name": "distinct" From 79354cdfc22f7c18a4acf3fa01f0ebc9455a345c Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 12 Jan 2018 13:17:31 +0800 Subject: [PATCH 106/177] sql pass --- .../data/connector/DataConnector.scala | 3 +- .../measure/process/BatchDqProcess.scala | 5 +- .../measure/process/StreamingDqThread.scala | 5 +- .../measure/process/engine/DqEngines.scala | 15 ++- .../process/engine/SparkSqlEngine.scala | 4 + .../rule/adaptor/DataFrameOprAdaptor.scala | 2 +- .../rule/adaptor/GriffinDslAdaptor.scala | 119 +++++++++++------- .../measure/rule/adaptor/RuleAdaptor.scala | 2 +- .../rule/adaptor/RuleAdaptorGroup.scala | 9 +- .../rule/adaptor/SparkSqlAdaptor.scala | 2 +- .../griffin/measure/utils/HdfsUtil.scala | 2 +- .../_distinctness-batch-griffindsl1.json | 56 +++++++++ 12 files changed, 161 insertions(+), 63 deletions(-) create mode 100644 measure/src/test/resources/_distinctness-batch-griffindsl1.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index a261a6d2b..2a1bb44bd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -73,10 +73,11 @@ trait DataConnector extends Loggable with Serializable { // val dsTmsts = Map[String, Set[Long]]((thisTable -> Set[Long](ms))) // val tmsts = Seq[Long](ms) + val dsRanges = Map[String, (Long, Long)]((thisTable -> (ms, ms))) // generate rule steps val rulePlan = RuleAdaptorGroup.genRulePlan( - timeInfo, preProcRules, SparkSqlType, BatchProcessType) + timeInfo, preProcRules, SparkSqlType, BatchProcessType, dsRanges) // run rules dqEngines.runRuleSteps(timeInfo, rulePlan.ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 78edbcfb3..151372827 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -92,9 +92,10 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { dataSources.foreach(_.init) // init data sources - val dsTmsts = dqEngines.loadData(dataSources, calcTimeInfo) + val (dsTmsts, dsRanges) = dqEngines.loadData(dataSources, calcTimeInfo) println(s"data source timestamps: ${dsTmsts}") + println(s"data source ranges: ${dsRanges}") // generate rule steps // val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( @@ -103,7 +104,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // CalcTimeInfo(appTime), userParam.evaluateRuleParam, dsTmsts) val rulePlan = RuleAdaptorGroup.genRulePlan( - calcTimeInfo, userParam.evaluateRuleParam, BatchProcessType) + calcTimeInfo, userParam.evaluateRuleParam, BatchProcessType, dsRanges) // rulePlan.ruleSteps.foreach(println) // println("====") diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 9575eff0f..8037f2d14 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -58,15 +58,16 @@ case class StreamingDqThread(sqlContext: SQLContext, TimeInfoCache.startTimeInfoCache // init data sources - val dsTmsts = dqEngines.loadData(dataSources, calcTimeInfo) + val (dsTmsts, dsRanges) = dqEngines.loadData(dataSources, calcTimeInfo) println(s"data sources timestamps: ${dsTmsts}") + println(s"data sources ranges: ${dsRanges}") // generate rule steps // val ruleSteps = RuleAdaptorGroup.genRuleSteps( // CalcTimeInfo(st), evaluateRuleParam, dsTmsts) val rulePlan = RuleAdaptorGroup.genRulePlan( - calcTimeInfo, evaluateRuleParam, StreamingProcessType) + calcTimeInfo, evaluateRuleParam, StreamingProcessType, dsRanges) // optimize rule plan val optRulePlan = optimizeRulePlan(rulePlan, dsTmsts) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 580fa1893..c3575d3fd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -34,17 +34,26 @@ import org.apache.spark.sql.{DataFrame, Row} import scala.concurrent._ import scala.concurrent.duration.Duration -import scala.util.{Failure, Success} +import scala.util.{Failure, Success, Try} import ExecutionContext.Implicits.global case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { val persistOrder: List[PersistType] = List(MetricPersistType, RecordPersistType) - def loadData(dataSources: Seq[DataSource], timeInfo: TimeInfo): Map[String, Set[Long]] = { - dataSources.map { ds => + def loadData(dataSources: Seq[DataSource], timeInfo: TimeInfo + ): (Map[String, Set[Long]], Map[String, (Long, Long)]) = { + val dsTmsts = dataSources.map { ds => (ds.name, ds.loadData(timeInfo)) }.toMap + val dsRanges = dsTmsts.flatMap { pair => + val (name, set) = pair + Try { (set.min, set.max) } match { + case Success(range) => Some((name, range)) + case _ => None + } + } + (dsTmsts, dsRanges) } def runRuleSteps(timeInfo: TimeInfo, ruleSteps: Seq[RuleStep]): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index 9de795559..a12262130 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -47,6 +47,10 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { } } else sqlContext.sql(rule) + println(name) + rdf.show(10) + println(rdf.count) + if (rs.isGlobal) { if (rs.needCache) DataFrameCaches.cacheGlobalDataFrame(name, rdf) TableRegisters.registerRunGlobalTable(rdf, name) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index a17dd1656..3fe567229 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -47,7 +47,7 @@ case class DataFrameOprAdaptor() extends RuleAdaptor { import RuleParamKeys._ def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], - procType: ProcessType): RulePlan = { + procType: ProcessType, dsRanges: Map[String, (Long, Long)]): RulePlan = { val name = getRuleName(param) val step = DfOprStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime)) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index fc4243b5f..0b378eac9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -92,7 +92,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], private val emptyMap = Map[String, Any]() override def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], - processType: ProcessType + processType: ProcessType, dsRanges: Map[String, (Long, Long)] ): RulePlan = { val name = getRuleName(param) val rule = getRule(param) @@ -105,7 +105,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], case AccuracyType => accuracyRulePlan(timeInfo, name, expr, param, processType) case ProfilingType => profilingRulePlan(timeInfo, name, expr, param, processType) case UniquenessType => uniquenessRulePlan(timeInfo, name, expr, param, processType) - case DistinctnessType => distinctRulePlan(timeInfo, name, expr, param, processType) + case DistinctnessType => distinctRulePlan(timeInfo, name, expr, param, processType, dsRanges) case TimelinessType => timelinessRulePlan(timeInfo, name, expr, param, processType) case _ => emptyRulePlan } @@ -472,7 +472,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } private def distinctRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], processType: ProcessType + param: Map[String, Any], processType: ProcessType, + dsRanges: Map[String, (Long, Long)] ): RulePlan = { val details = getDetails(param) val sourceName = details.getString(DistinctnessKeys._source, dataSourceNames.head) @@ -481,6 +482,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val ct = timeInfo.calcTime + val sourceRangeOpt = dsRanges.get(sourceName) + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { println(s"[${ct}] data source ${sourceName} not exists") emptyRulePlan @@ -503,32 +506,51 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 2. target mapping val targetTableName = "__target" - val targetSql = s"SELECT ${selClause} FROM ${targetName}" + val targetSql = sourceRangeOpt match { + case Some((min, max)) => { + s"SELECT ${selClause} FROM ${targetName} WHERE `${InternalColumns.tmst}` < ${min}" +// s"SELECT ${selClause} FROM ${targetName}" + } + case _ => { + s"SELECT ${selClause} FROM ${targetName}" + } + } val targetStep = SparkSqlStep(targetTableName, targetSql, emptyMap) // 3. joined val joinedTableName = "__joined" - val joinedSelClause = aliases.map { alias => - s"`${sourceTableName}`.`${alias}` AS `${alias}`" - }.mkString(", ") +// val joinedSelClause = aliases.map { alias => +// s"`${sourceTableName}`.`${alias}` AS `${alias}`" +// }.mkString(", ") + val joinedSelClause = s"`${sourceTableName}`.*" val onClause = aliases.map { alias => s"coalesce(`${sourceTableName}`.`${alias}`, '') = coalesce(`${targetTableName}`.`${alias}`, '')" }.mkString(" AND ") + val sourceIsNull = aliases.map { alias => + s"`${sourceTableName}`.`${alias}` IS NULL" + }.mkString(" AND ") + val targetIsNull = aliases.map { alias => + s"`${targetTableName}`.`${alias}` IS NULL" + }.mkString(" AND ") + val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" val joinedSql = { - s"SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` ON ${onClause}" + s""" + |SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` + |ON ${onClause} WHERE ${whereClause} + """.stripMargin } val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) // 4. group - val groupTableName = "__group" - val groupSelClause = aliases.map { alias => - s"`${alias}`" - }.mkString(", ") - val dupColName = details.getStringOrKey(DistinctnessKeys._dup) - val groupSql = { - s"SELECT ${groupSelClause}, (COUNT(*) - 1) AS `${dupColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" - } - val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap, true) +// val groupTableName = "__group" +// val groupSelClause = aliases.map { alias => +// s"`${alias}`" +// }.mkString(", ") +// val dupColName = details.getStringOrKey(DistinctnessKeys._dup) +// val groupSql = { +// s"SELECT ${groupSelClause}, COUNT(*) AS `${dupColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" +// } +// val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap, true) // 5. total metric val totalTableName = "__totalMetric" @@ -544,45 +566,48 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val distTableName = "__distMetric" val distColName = details.getStringOrKey(DistinctnessKeys._distinct) val distSql = { - s"SELECT COUNT(*) AS `${distColName}` FROM `${groupTableName}`" +// s"SELECT COUNT(*) AS `${distColName}` FROM `${groupTableName}`" + s"SELECT COUNT(*) AS `${distColName}` FROM `${joinedTableName}`" } val distStep = SparkSqlStep(distTableName, distSql, exportDetails) val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, ct) - val distinctSteps = sourceStep :: targetStep :: joinedStep :: groupStep :: + val distinctSteps = sourceStep :: targetStep :: joinedStep :: totalStep :: distStep :: Nil val distinctExports = totalMetricExport :: distMetricExport :: Nil val distinctRulePlan = RulePlan(distinctSteps, distinctExports) - val duplicationArrayName = details.getString(UniquenessKeys._duplicationArray, "") - val dupRulePlan = if (duplicationArrayName.nonEmpty) { - // 7. duplicate record - val dupRecordTableName = "__dupRecords" - val dupRecordSql = { - s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" - } - val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, exportDetails, true) - val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, ct) - - // 8. duplicate metric - val dupMetricTableName = "__dupMetric" - val numColName = details.getStringOrKey(UniquenessKeys._num) - val dupMetricSql = { - s""" - |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` - |FROM `${dupRecordTableName}` GROUP BY ${dupColName} - """.stripMargin - } - val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, exportDetails) - val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct) - - RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) - } else emptyRulePlan - - distinctRulePlan.merge(dupRulePlan) + distinctRulePlan + +// val duplicationArrayName = details.getString(UniquenessKeys._duplicationArray, "") +// val dupRulePlan = if (duplicationArrayName.nonEmpty) { +// // 7. duplicate record +// val dupRecordTableName = "__dupRecords" +// val dupRecordSql = { +// s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" +// } +// val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, exportDetails, true) +// val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) +// val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, ct) +// +// // 8. duplicate metric +// val dupMetricTableName = "__dupMetric" +// val numColName = details.getStringOrKey(UniquenessKeys._num) +// val dupMetricSql = { +// s""" +// |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` +// |FROM `${dupRecordTableName}` GROUP BY ${dupColName} +// """.stripMargin +// } +// val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, exportDetails) +// val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) +// val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct) +// +// RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) +// } else emptyRulePlan +// +// distinctRulePlan.merge(dupRulePlan) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index 7b40f3ed9..a56961ad3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -116,7 +116,7 @@ trait RuleAdaptor extends Loggable with Serializable { } def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], - procType: ProcessType): RulePlan + procType: ProcessType, dsRanges: Map[String, (Long, Long)]): RulePlan protected def genRuleExports(param: Map[String, Any], defName: String, stepName: String, defTimestamp: Long diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index ab840efaa..00dac693c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -115,22 +115,23 @@ object RuleAdaptorGroup { // -- gen rule plan -- def genRulePlan(timeInfo: TimeInfo, evaluateRuleParam: EvaluateRuleParam, - procType: ProcessType + procType: ProcessType, dsRanges: Map[String, (Long, Long)] ): RulePlan = { val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType val defaultDslType = DslType(dslTypeStr) val ruleParams = evaluateRuleParam.rules - genRulePlan(timeInfo, ruleParams, defaultDslType, procType) + genRulePlan(timeInfo, ruleParams, defaultDslType, procType, dsRanges) } def genRulePlan(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], - defaultDslType: DslType, procType: ProcessType + defaultDslType: DslType, procType: ProcessType, + dsRanges: Map[String, (Long, Long)] ): RulePlan = { val (rulePlan, dsNames) = ruleParams.foldLeft((emptyRulePlan, dataSourceNames)) { (res, param) => val (plan, names) = res val dslType = getDslType(param, defaultDslType) val curPlan: RulePlan = genRuleAdaptor(dslType, names) match { - case Some(adaptor) => adaptor.genRulePlan(timeInfo, param, procType) + case Some(adaptor) => adaptor.genRulePlan(timeInfo, param, procType, dsRanges) case _ => emptyRulePlan } val globalNames = curPlan.globalRuleSteps.map(_.name) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index 538a142d1..a8b2e2664 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -40,7 +40,7 @@ case class SparkSqlAdaptor() extends RuleAdaptor { import RuleParamKeys._ def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], - procType: ProcessType): RulePlan = { + procType: ProcessType, dsRanges: Map[String, (Long, Long)]): RulePlan = { val name = getRuleName(param) val step = SparkSqlStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime)) diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index aa5643b87..0a91fab7e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.setBoolean("dfs.support.append", true) -// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost + conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) diff --git a/measure/src/test/resources/_distinctness-batch-griffindsl1.json b/measure/src/test/resources/_distinctness-batch-griffindsl1.json new file mode 100644 index 000000000..d3533e45d --- /dev/null +++ b/measure/src/test/resources/_distinctness-batch-griffindsl1.json @@ -0,0 +1,56 @@ +{ + "name": "dist_batch", + + "process.type": "batch", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/timeliness_data.avro" + } + } + ] + }, + { + "name": "target", + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/timeliness_data_target.avro" + } + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "distinct", + "name": "dist", + "rule": "name, age", + "details": { + "source": "source", + "target": "target", + "total": "total", + "distinct": "distinct", + "dup": "dup", + "num": "num", + "duplication.array": "dup" + }, + "metric": { + "name": "distinct" + } + } + ] + } +} \ No newline at end of file From 0b195e55df86b1223f2386df1a93949fa6bf2fff Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 12 Jan 2018 16:24:49 +0800 Subject: [PATCH 107/177] dist streaming pass --- .../measure/cache/info/TimeInfoCache.scala | 24 +- .../measure/cache/info/ZKInfoCache.scala | 10 +- .../config/params/user/DataSourceParam.scala | 1 + .../data/connector/DataConnector.scala | 8 +- .../batch/AvroBatchDataConnector.scala | 6 +- .../batch/HiveBatchDataConnector.scala | 6 +- .../batch/TextDirBatchDataConnector.scala | 6 +- .../streaming/StreamingDataConnector.scala | 3 +- .../measure/data/source/DataSource.scala | 14 +- .../measure/data/source/DataSourceCache.scala | 303 ++++++++-------- .../data/source/DataSourceFactory.scala | 2 +- .../measure/process/BatchDqProcess.scala | 7 +- .../measure/process/StreamingDqThread.scala | 10 +- .../measure/process/engine/DqEngines.scala | 14 +- .../process/engine/SparkSqlEngine.scala | 4 - .../measure/process/temp/TimeRange.scala | 41 +++ .../rule/adaptor/DataFrameOprAdaptor.scala | 3 +- .../rule/adaptor/GriffinDslAdaptor.scala | 325 ++++++++++++------ .../measure/rule/adaptor/RuleAdaptor.scala | 3 +- .../rule/adaptor/RuleAdaptorGroup.scala | 10 +- .../rule/adaptor/SparkSqlAdaptor.scala | 3 +- .../dsl/analyzer/DistinctnessAnalyzer.scala | 3 +- .../griffin/measure/utils/HdfsUtil.scala | 2 +- .../_distinctness-batch-griffindsl.json | 1 + .../_distinctness-batch-griffindsl1.json | 56 --- .../_distinctness-streaming-griffindsl.json | 38 +- 26 files changed, 499 insertions(+), 404 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala delete mode 100644 measure/src/test/resources/_distinctness-batch-griffindsl1.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala index 85dfe62fe..aefd390a3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala @@ -60,8 +60,8 @@ object TimeInfoCache extends Loggable with Serializable { val subPath = InfoCacheInstance.listKeys(infoPath) val keys = subPath.map { p => s"${infoPath}/${p}/${ReadyTime}" } val result = InfoCacheInstance.readInfo(keys) - val time = keys.map { k => - getLong(result, k) + val time = keys.flatMap { k => + getLongOpt(result, k) }.min val map = Map[String, String]((finalReadyTime -> time.toString)) InfoCacheInstance.cacheInfo(map) @@ -71,8 +71,8 @@ object TimeInfoCache extends Loggable with Serializable { val subPath = InfoCacheInstance.listKeys(infoPath) val keys = subPath.map { p => s"${infoPath}/${p}/${LastProcTime}" } val result = InfoCacheInstance.readInfo(keys) - val time = keys.map { k => - getLong(result, k) + val time = keys.flatMap { k => + getLongOpt(result, k) }.min val map = Map[String, String]((finalLastProcTime -> time.toString)) InfoCacheInstance.cacheInfo(map) @@ -82,8 +82,8 @@ object TimeInfoCache extends Loggable with Serializable { val subPath = InfoCacheInstance.listKeys(infoPath) val keys = subPath.map { p => s"${infoPath}/${p}/${CleanTime}" } val result = InfoCacheInstance.readInfo(keys) - val time = keys.map { k => - getLong(result, k) + val time = keys.flatMap { k => + getLongOpt(result, k) }.min val map = Map[String, String]((finalCleanTime -> time.toString)) InfoCacheInstance.cacheInfo(map) @@ -102,15 +102,15 @@ object TimeInfoCache extends Loggable with Serializable { cleanTime } - private def getLong(map: Map[String, String], key: String): Long = { + private def getLongOpt(map: Map[String, String], key: String): Option[Long] = { try { - map.get(key) match { - case Some(v) => v.toLong - case _ => -1 - } + map.get(key).map(_.toLong) } catch { - case e: Throwable => -1 + case e: Throwable => None } } + private def getLong(map: Map[String, String], key: String) = { + getLongOpt(map, key).getOrElse(-1L) + } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala index 8b62fa425..6f7aa8f0f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala @@ -116,8 +116,8 @@ case class ZKInfoCache(config: Map[String, Any], metricName: String) extends Inf } def clearInfo(): Unit = { -// delete("/") - info("clear info") + delete("/") + println("clear info") } def listKeys(p: String): List[String] = { @@ -138,7 +138,7 @@ case class ZKInfoCache(config: Map[String, Any], metricName: String) extends Inf client.getChildren().forPath(path).asScala.toList } catch { case e: Throwable => { - error(s"list ${path} error: ${e.getMessage}") + warn(s"list ${path} warn: ${e.getMessage}") Nil } } @@ -182,7 +182,7 @@ case class ZKInfoCache(config: Map[String, Any], metricName: String) extends Inf Some(new String(client.getData().forPath(path), "utf-8")) } catch { case e: Throwable => { - error(s"read ${path} error: ${e.getMessage}") + warn(s"read ${path} warn: ${e.getMessage}") None } } @@ -201,7 +201,7 @@ case class ZKInfoCache(config: Map[String, Any], metricName: String) extends Inf client.checkExists().forPath(path) != null } catch { case e: Throwable => { - error(s"check exists ${path} error: ${e.getMessage}") + warn(s"check exists ${path} warn: ${e.getMessage}") false } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/config/params/user/DataSourceParam.scala b/measure/src/main/scala/org/apache/griffin/measure/config/params/user/DataSourceParam.scala index 326d3c82e..c43ea70e3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/config/params/user/DataSourceParam.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/config/params/user/DataSourceParam.scala @@ -31,4 +31,5 @@ case class DataSourceParam( @JsonProperty("name") name: String, def hasName: Boolean = (name != null) def isBaseLine: Boolean = if (baseline == null) false else baseline def falseBaselineClone: DataSourceParam = DataSourceParam(name, false, connectors, cache) + def getConnectors: List[DataConnectorParam] = if (connectors != null) connectors else Nil } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 2a1bb44bd..1cf3f3275 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -25,7 +25,7 @@ import org.apache.griffin.measure.config.params.user.DataConnectorParam import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.{BatchDqProcess, BatchProcessType} import org.apache.griffin.measure.process.engine._ -import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} +import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters, TimeRange} import org.apache.griffin.measure.rule.adaptor.{InternalColumns, PreProcPhase, RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan._ @@ -45,7 +45,7 @@ trait DataConnector extends Loggable with Serializable { def init(): Unit - def data(ms: Long): (Option[DataFrame], Set[Long]) + def data(ms: Long): (Option[DataFrame], TimeRange) val dqEngines: DqEngines @@ -73,11 +73,11 @@ trait DataConnector extends Loggable with Serializable { // val dsTmsts = Map[String, Set[Long]]((thisTable -> Set[Long](ms))) // val tmsts = Seq[Long](ms) - val dsRanges = Map[String, (Long, Long)]((thisTable -> (ms, ms))) + val dsTimeRanges = Map[String, TimeRange]((thisTable -> TimeRange(ms))) // generate rule steps val rulePlan = RuleAdaptorGroup.genRulePlan( - timeInfo, preProcRules, SparkSqlType, BatchProcessType, dsRanges) + timeInfo, preProcRules, SparkSqlType, BatchProcessType, dsTimeRanges) // run rules dqEngines.runRuleSteps(timeInfo, rulePlan.ruleSteps) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/AvroBatchDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/AvroBatchDataConnector.scala index fb042c2dc..5a1c22cd4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/AvroBatchDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/AvroBatchDataConnector.scala @@ -21,6 +21,7 @@ package org.apache.griffin.measure.data.connector.batch import org.apache.griffin.measure.config.params.user.DataConnectorParam import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.process.engine.DqEngines +import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.result._ import org.apache.griffin.measure.utils.HdfsUtil import org.apache.spark.rdd.RDD @@ -51,7 +52,7 @@ case class AvroBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngines, HdfsUtil.existPath(concreteFileFullPath) } - def data(ms: Long): (Option[DataFrame], Set[Long]) = { + def data(ms: Long): (Option[DataFrame], TimeRange) = { val dfOpt = try { val df = sqlContext.read.format("com.databricks.spark.avro").load(concreteFileFullPath) val dfOpt = Some(df) @@ -63,7 +64,8 @@ case class AvroBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngines, None } } - (dfOpt, readTmst(ms)) + val tmsts = readTmst(ms) + (dfOpt, TimeRange(ms, tmsts)) } // def available(): Boolean = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala index 812d724d5..2c9747e80 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/HiveBatchDataConnector.scala @@ -21,6 +21,7 @@ package org.apache.griffin.measure.data.connector.batch import org.apache.griffin.measure.config.params.user.DataConnectorParam import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.process.engine.DqEngines +import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.result._ import org.apache.spark.rdd.RDD import org.apache.spark.sql.hive.HiveContext @@ -60,7 +61,7 @@ case class HiveBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngines, // if (arr.size > 0) Some(arr) else None // } - def data(ms: Long): (Option[DataFrame], Set[Long]) = { + def data(ms: Long): (Option[DataFrame], TimeRange) = { val dfOpt = try { val dtSql = dataSql info(dtSql) @@ -74,7 +75,8 @@ case class HiveBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngines, None } } - (dfOpt, readTmst(ms)) + val tmsts = readTmst(ms) + (dfOpt, TimeRange(ms, tmsts)) } // def available(): Boolean = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/TextDirBatchDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/TextDirBatchDataConnector.scala index 32be963e8..fe8d3866c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/TextDirBatchDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/batch/TextDirBatchDataConnector.scala @@ -20,6 +20,7 @@ package org.apache.griffin.measure.data.connector.batch import org.apache.griffin.measure.config.params.user.DataConnectorParam import org.apache.griffin.measure.process.engine.DqEngines +import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.utils.HdfsUtil import org.apache.spark.sql.{DataFrame, SQLContext} import org.apache.griffin.measure.utils.ParamUtil._ @@ -46,7 +47,7 @@ case class TextDirBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngine HdfsUtil.existPath(dirPath) } - def data(ms: Long): (Option[DataFrame], Set[Long]) = { + def data(ms: Long): (Option[DataFrame], TimeRange) = { val dfOpt = try { val dataDirs = listSubDirs(dirPath :: Nil, dataDirDepth, readable) // touch done file for read dirs @@ -68,7 +69,8 @@ case class TextDirBatchDataConnector(sqlContext: SQLContext, dqEngines: DqEngine None } } - (dfOpt, readTmst(ms)) + val tmsts = readTmst(ms) + (dfOpt, TimeRange(ms, tmsts)) } private def listSubDirs(paths: Seq[String], depth: Int, filteFunc: (String) => Boolean): Seq[String] = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala index f8d50becb..f65b0d287 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala @@ -20,6 +20,7 @@ package org.apache.griffin.measure.data.connector.streaming import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.data.source.DataSourceCache +import org.apache.griffin.measure.process.temp.TimeRange import org.apache.spark.rdd.RDD import org.apache.spark.sql.DataFrame import org.apache.spark.streaming.dstream.InputDStream @@ -36,7 +37,7 @@ trait StreamingDataConnector extends DataConnector { def transform(rdd: RDD[(K, V)]): Option[DataFrame] - def data(ms: Long): (Option[DataFrame], Set[Long]) = (None, Set.empty[Long]) + def data(ms: Long): (Option[DataFrame], TimeRange) = (None, TimeRange.emptyTimeRange) var dataSourceCacheOpt: Option[DataSourceCache] = None diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 1918e2854..fc8c6465a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -23,7 +23,7 @@ import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.data.connector.batch._ import org.apache.griffin.measure.data.connector.streaming._ import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} +import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters, TimeRange} import org.apache.griffin.measure.rule.plan.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row, SQLContext} @@ -49,7 +49,7 @@ case class DataSource(sqlContext: SQLContext, dataConnectors.map(_.tmstCache = tmstCache) } - def loadData(timeInfo: TimeInfo): Set[Long] = { + def loadData(timeInfo: TimeInfo): TimeRange = { val calcTime = timeInfo.calcTime println(s"load data [${name}]") val (dfOpt, tmsts) = data(calcTime) @@ -65,11 +65,11 @@ case class DataSource(sqlContext: SQLContext, tmsts } - private def data(ms: Long): (Option[DataFrame], Set[Long]) = { + private def data(ms: Long): (Option[DataFrame], TimeRange) = { val batches = batchDataConnectors.flatMap { dc => - val (dfOpt, tmsts) = dc.data(ms) + val (dfOpt, timeRange) = dc.data(ms) dfOpt match { - case Some(df) => Some((dfOpt, tmsts)) + case Some(df) => Some((dfOpt, timeRange)) case _ => None } } @@ -81,10 +81,10 @@ case class DataSource(sqlContext: SQLContext, if (pairs.size > 0) { pairs.reduce { (a, b) => - (unionDfOpts(a._1, b._1), a._2 ++ b._2) + (unionDfOpts(a._1, b._1), a._2.merge(b._2)) } } else { - (None, Set.empty[Long]) + (None, TimeRange.emptyTimeRange) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala index 9272f179f..9744786bd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala @@ -25,6 +25,7 @@ import org.apache.griffin.measure.cache.tmst.TmstCache import org.apache.griffin.measure.data.connector.streaming.StreamingDataConnector import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.log.Loggable +import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.utils.{HdfsFileDumpUtil, HdfsUtil, TimeUtil} import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, SQLContext} @@ -70,6 +71,14 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], } } +// val _WriteInfoPath = "write.info.path" +// val _ReadInfoPath = "read.info.path" +// val writeCacheInfoPath = param.getString(_WriteInfoPath, defInfoPath) +// val readCacheInfoPath = param.getString(_ReadInfoPath, defInfoPath) + + val _ReadOnly = "read.only" + val readOnly = param.getBoolean(_ReadOnly, false) + val rowSepLiteral = "\n" val partitionUnits: List[String] = List("hour", "min", "sec") val minUnitTime: Long = TimeUtil.timeFromUnit(1, partitionUnits.last) @@ -82,47 +91,50 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], } def saveData(dfOpt: Option[DataFrame], ms: Long): Unit = { - dfOpt match { - case Some(df) => { - val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) - if (newCacheLocked) { - try { - val ptns = getPartition(ms) - val ptnsPath = genPartitionHdfsPath(ptns) - val dirPath = s"${filePath}/${ptnsPath}" - val dataFileName = s"${ms}" - val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) - - // transform data - val dataRdd: RDD[String] = df.toJSON - - // save data -// val dumped = if (!dataRdd.isEmpty) { -// HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) -// } else false - - if (!dataRdd.isEmpty) { - HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) + if (!readOnly) { + dfOpt match { + case Some(df) => { + val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) + if (newCacheLocked) { + try { + val ptns = getPartition(ms) + val ptnsPath = genPartitionHdfsPath(ptns) + val dirPath = s"${filePath}/${ptnsPath}" + val dataFileName = s"${ms}" + val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) + + // transform data + val dataRdd: RDD[String] = df.toJSON + + // save data + // val dumped = if (!dataRdd.isEmpty) { + // HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) + // } else false + + if (!dataRdd.isEmpty) { + HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) + } + + } catch { + case e: Throwable => error(s"save data error: ${e.getMessage}") + } finally { + newCacheLock.unlock() } - - } catch { - case e: Throwable => error(s"save data error: ${e.getMessage}") - } finally { - newCacheLock.unlock() } } + case _ => { + info(s"no data frame to save") + } } - case _ => { - info(s"no data frame to save") - } - } - // submit cache time and ready time - submitCacheTime(ms) - submitReadyTime(ms) + // submit cache time and ready time + submitCacheTime(ms) + submitReadyTime(ms) + } } - def readData(): (Option[DataFrame], Set[Long]) = { + // return: (data frame option, time range) + def readData(): (Option[DataFrame], TimeRange) = { val tr = TimeInfoCache.getTimeRange val timeRange = (tr._1 + minUnitTime, tr._2) submitLastProcTime(timeRange._2) @@ -137,6 +149,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], // list partition paths val partitionPaths = listPathsBetweenRanges(filePath :: Nil, partitionRanges) + println(partitionPaths) val dfOpt = if (partitionPaths.isEmpty) { None @@ -154,140 +167,152 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], // from until tmst range val (from, until) = (reviseTimeRange._1, reviseTimeRange._2 + 1) val tmstSet = rangeTmsts(from, until) - (dfOpt, tmstSet) + + val retTimeRange = TimeRange(reviseTimeRange, tmstSet) + (dfOpt, retTimeRange) } def updateData(df: DataFrame, ms: Long): Unit = { - val ptns = getPartition(ms) - val ptnsPath = genPartitionHdfsPath(ptns) - val dirPath = s"${filePath}/${ptnsPath}" - val dataFileName = s"${ms}" - val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) + if (!readOnly) { + val ptns = getPartition(ms) + val ptnsPath = genPartitionHdfsPath(ptns) + val dirPath = s"${filePath}/${ptnsPath}" + val dataFileName = s"${ms}" + val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) - try { - val records = df.toJSON - val arr = records.collect - val needSave = !arr.isEmpty - - // remove out time old data - HdfsFileDumpUtil.remove(dirPath, dataFileName, true) - println(s"remove file path: ${dirPath}/${dataFileName}") - - // save updated data - if (needSave) { - HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) - println(s"update file path: ${dataFilePath}") - } else { - clearTmst(ms) - println(s"data source [${dsName}] timestamp [${ms}] cleared") + try { + val records = df.toJSON + val arr = records.collect + val needSave = !arr.isEmpty + + // remove out time old data + HdfsFileDumpUtil.remove(dirPath, dataFileName, true) + println(s"remove file path: ${dirPath}/${dataFileName}") + + // save updated data + if (needSave) { + HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) + println(s"update file path: ${dataFilePath}") + } else { + clearTmst(ms) + println(s"data source [${dsName}] timestamp [${ms}] cleared") + } + } catch { + case e: Throwable => error(s"update data error: ${e.getMessage}") } - } catch { - case e: Throwable => error(s"update data error: ${e.getMessage}") } } def updateData(rdd: RDD[String], ms: Long, cnt: Long): Unit = { - val ptns = getPartition(ms) - val ptnsPath = genPartitionHdfsPath(ptns) - val dirPath = s"${filePath}/${ptnsPath}" - val dataFileName = s"${ms}" - val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) + if (!readOnly) { + val ptns = getPartition(ms) + val ptnsPath = genPartitionHdfsPath(ptns) + val dirPath = s"${filePath}/${ptnsPath}" + val dataFileName = s"${ms}" + val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) - try { -// val needSave = !rdd.isEmpty - - // remove out time old data - HdfsFileDumpUtil.remove(dirPath, dataFileName, true) - println(s"remove file path: ${dirPath}/${dataFileName}") - - // save updated data - if (cnt > 0) { - HdfsFileDumpUtil.dump(dataFilePath, rdd, rowSepLiteral) - println(s"update file path: ${dataFilePath}") - } else { - clearTmst(ms) - println(s"data source [${dsName}] timestamp [${ms}] cleared") + try { + // val needSave = !rdd.isEmpty + + // remove out time old data + HdfsFileDumpUtil.remove(dirPath, dataFileName, true) + println(s"remove file path: ${dirPath}/${dataFileName}") + + // save updated data + if (cnt > 0) { + HdfsFileDumpUtil.dump(dataFilePath, rdd, rowSepLiteral) + println(s"update file path: ${dataFilePath}") + } else { + clearTmst(ms) + println(s"data source [${dsName}] timestamp [${ms}] cleared") + } + } catch { + case e: Throwable => error(s"update data error: ${e.getMessage}") + } finally { + rdd.unpersist() } - } catch { - case e: Throwable => error(s"update data error: ${e.getMessage}") - } finally { - rdd.unpersist() } } def updateData(arr: Iterable[String], ms: Long): Unit = { - val ptns = getPartition(ms) - val ptnsPath = genPartitionHdfsPath(ptns) - val dirPath = s"${filePath}/${ptnsPath}" - val dataFileName = s"${ms}" - val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) + if (!readOnly) { + val ptns = getPartition(ms) + val ptnsPath = genPartitionHdfsPath(ptns) + val dirPath = s"${filePath}/${ptnsPath}" + val dataFileName = s"${ms}" + val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) - try { - val needSave = !arr.isEmpty - - // remove out time old data - HdfsFileDumpUtil.remove(dirPath, dataFileName, true) - println(s"remove file path: ${dirPath}/${dataFileName}") - - // save updated data - if (needSave) { - HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) - println(s"update file path: ${dataFilePath}") - } else { - clearTmst(ms) - println(s"data source [${dsName}] timestamp [${ms}] cleared") + try { + val needSave = !arr.isEmpty + + // remove out time old data + HdfsFileDumpUtil.remove(dirPath, dataFileName, true) + println(s"remove file path: ${dirPath}/${dataFileName}") + + // save updated data + if (needSave) { + HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) + println(s"update file path: ${dataFilePath}") + } else { + clearTmst(ms) + println(s"data source [${dsName}] timestamp [${ms}] cleared") + } + } catch { + case e: Throwable => error(s"update data error: ${e.getMessage}") } - } catch { - case e: Throwable => error(s"update data error: ${e.getMessage}") } } def updateDataMap(dfMap: Map[Long, DataFrame]): Unit = { - val dataMap = dfMap.map { pair => - val (t, recs) = pair - val rdd = recs.toJSON -// rdd.cache - (t, rdd, rdd.count) - } + if (!readOnly) { + val dataMap = dfMap.map { pair => + val (t, recs) = pair + val rdd = recs.toJSON + // rdd.cache + (t, rdd, rdd.count) + } - dataMap.foreach { pair => - val (t, arr, cnt) = pair - updateData(arr, t, cnt) + dataMap.foreach { pair => + val (t, arr, cnt) = pair + updateData(arr, t, cnt) + } } } def cleanOldData(): Unit = { - val oldCacheLocked = oldCacheLock.lock(-1, TimeUnit.SECONDS) - if (oldCacheLocked) { - try { - val cleanTime = readCleanTime() - cleanTime match { - case Some(ct) => { - println(s"data source [${dsName}] old timestamps clear until [${ct}]") - - // clear out date tmsts - clearTmstsUntil(ct) - - // drop partitions - val bounds = getPartition(ct) - - // list partition paths - val earlierPaths = listPathsEarlierThanBounds(filePath :: Nil, bounds) - - // delete out time data path - earlierPaths.foreach { path => - println(s"delete hdfs path: ${path}") - HdfsUtil.deleteHdfsPath(path) + if (!readOnly) { + val oldCacheLocked = oldCacheLock.lock(-1, TimeUnit.SECONDS) + if (oldCacheLocked) { + try { + val cleanTime = readCleanTime() + cleanTime match { + case Some(ct) => { + println(s"data source [${dsName}] old timestamps clear until [${ct}]") + + // clear out date tmsts + clearTmstsUntil(ct) + + // drop partitions + val bounds = getPartition(ct) + + // list partition paths + val earlierPaths = listPathsEarlierThanBounds(filePath :: Nil, bounds) + + // delete out time data path + earlierPaths.foreach { path => + println(s"delete hdfs path: ${path}") + HdfsUtil.deleteHdfsPath(path) + } + } + case _ => { + // do nothing } } - case _ => { - // do nothing - } + } catch { + case e: Throwable => error(s"clean old data error: ${e.getMessage}") + } finally { + oldCacheLock.unlock() } - } catch { - case e: Throwable => error(s"clean old data error: ${e.getMessage}") - } finally { - oldCacheLock.unlock() } } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala index 47ee36842..b83e2fb24 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala @@ -47,7 +47,7 @@ object DataSourceFactory extends Loggable { ): Option[DataSource] = { val name = dataSourceParam.name val baseline = dataSourceParam.isBaseLine - val connectorParams = dataSourceParam.connectors + val connectorParams = dataSourceParam.getConnectors val cacheParam = dataSourceParam.cache val dataConnectors = connectorParams.flatMap { connectorParam => DataConnectorFactory.getDataConnector(sqlContext, ssc, dqEngines, connectorParam) match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 151372827..614722156 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -92,10 +92,9 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { dataSources.foreach(_.init) // init data sources - val (dsTmsts, dsRanges) = dqEngines.loadData(dataSources, calcTimeInfo) + val dsTimeRanges = dqEngines.loadData(dataSources, calcTimeInfo) - println(s"data source timestamps: ${dsTmsts}") - println(s"data source ranges: ${dsRanges}") + println(s"data source timeRanges: ${dsTimeRanges}") // generate rule steps // val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( @@ -104,7 +103,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // CalcTimeInfo(appTime), userParam.evaluateRuleParam, dsTmsts) val rulePlan = RuleAdaptorGroup.genRulePlan( - calcTimeInfo, userParam.evaluateRuleParam, BatchProcessType, dsRanges) + calcTimeInfo, userParam.evaluateRuleParam, BatchProcessType, dsTimeRanges) // rulePlan.ruleSteps.foreach(println) // println("====") diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 8037f2d14..67b863abb 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -58,19 +58,19 @@ case class StreamingDqThread(sqlContext: SQLContext, TimeInfoCache.startTimeInfoCache // init data sources - val (dsTmsts, dsRanges) = dqEngines.loadData(dataSources, calcTimeInfo) + val dsTimeRanges = dqEngines.loadData(dataSources, calcTimeInfo) - println(s"data sources timestamps: ${dsTmsts}") - println(s"data sources ranges: ${dsRanges}") + println(s"data source timeRanges: ${dsTimeRanges}") // generate rule steps // val ruleSteps = RuleAdaptorGroup.genRuleSteps( // CalcTimeInfo(st), evaluateRuleParam, dsTmsts) val rulePlan = RuleAdaptorGroup.genRulePlan( - calcTimeInfo, evaluateRuleParam, StreamingProcessType, dsRanges) + calcTimeInfo, evaluateRuleParam, StreamingProcessType, dsTimeRanges) // optimize rule plan - val optRulePlan = optimizeRulePlan(rulePlan, dsTmsts) +// val optRulePlan = optimizeRulePlan(rulePlan, dsTmsts) + val optRulePlan = rulePlan // ruleSteps.foreach(println) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index c3575d3fd..3f17ee883 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -24,6 +24,7 @@ import org.apache.griffin.measure.config.params.user.DataSourceParam import org.apache.griffin.measure.data.source._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} +import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ @@ -41,19 +42,10 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { val persistOrder: List[PersistType] = List(MetricPersistType, RecordPersistType) - def loadData(dataSources: Seq[DataSource], timeInfo: TimeInfo - ): (Map[String, Set[Long]], Map[String, (Long, Long)]) = { - val dsTmsts = dataSources.map { ds => + def loadData(dataSources: Seq[DataSource], timeInfo: TimeInfo): Map[String, TimeRange] = { + dataSources.map { ds => (ds.name, ds.loadData(timeInfo)) }.toMap - val dsRanges = dsTmsts.flatMap { pair => - val (name, set) = pair - Try { (set.min, set.max) } match { - case Success(range) => Some((name, range)) - case _ => None - } - } - (dsTmsts, dsRanges) } def runRuleSteps(timeInfo: TimeInfo, ruleSteps: Seq[RuleStep]): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index a12262130..9de795559 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -47,10 +47,6 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { } } else sqlContext.sql(rule) - println(name) - rdf.show(10) - println(rdf.count) - if (rs.isGlobal) { if (rs.needCache) DataFrameCaches.cacheGlobalDataFrame(name, rdf) TableRegisters.registerRunGlobalTable(rdf, name) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala new file mode 100644 index 000000000..31fe5ea7a --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala @@ -0,0 +1,41 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.process.temp + +import scala.math.{min, max} + +case class TimeRange(begin: Long, end: Long, tmsts: Set[Long]) extends Serializable { + def merge(tr: TimeRange): TimeRange = { + TimeRange(min(begin, tr.begin), max(end, tr.end), tmsts ++ tr.tmsts) + } +} + +object TimeRange { + val emptyTimeRange = TimeRange(0, 0, Set[Long]()) + def apply(range: (Long, Long), tmsts: Set[Long]): TimeRange = TimeRange(range._1, range._2, tmsts) + def apply(ts: Long, tmsts: Set[Long]): TimeRange = TimeRange(ts, ts, tmsts) + def apply(ts: Long): TimeRange = TimeRange(ts, ts, Set[Long](ts)) + def apply(tmsts: Set[Long]): TimeRange = { + try { + TimeRange(tmsts.min, tmsts.max, tmsts) + } catch { + case _: Throwable => emptyTimeRange + } + } +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 3fe567229..421403058 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -19,6 +19,7 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.rule.plan.{TimeInfo, _} import org.apache.griffin.measure.utils.ParamUtil._ @@ -47,7 +48,7 @@ case class DataFrameOprAdaptor() extends RuleAdaptor { import RuleParamKeys._ def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], - procType: ProcessType, dsRanges: Map[String, (Long, Long)]): RulePlan = { + procType: ProcessType, dsTimeRanges: Map[String, TimeRange]): RulePlan = { val name = getRuleName(param) val step = DfOprStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime)) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 0b378eac9..da9c039bd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -20,7 +20,7 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} import org.apache.griffin.measure.process.engine.DataFrameOprs.AccuracyOprKeys -import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.temp.{TableRegisters, TimeRange} import org.apache.griffin.measure.process._ import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.dsl.analyzer._ @@ -92,7 +92,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], private val emptyMap = Map[String, Any]() override def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], - processType: ProcessType, dsRanges: Map[String, (Long, Long)] + processType: ProcessType, dsTimeRanges: Map[String, TimeRange] ): RulePlan = { val name = getRuleName(param) val rule = getRule(param) @@ -105,7 +105,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], case AccuracyType => accuracyRulePlan(timeInfo, name, expr, param, processType) case ProfilingType => profilingRulePlan(timeInfo, name, expr, param, processType) case UniquenessType => uniquenessRulePlan(timeInfo, name, expr, param, processType) - case DistinctnessType => distinctRulePlan(timeInfo, name, expr, param, processType, dsRanges) + case DistinctnessType => distinctRulePlan(timeInfo, name, expr, param, processType, dsTimeRanges) case TimelinessType => timelinessRulePlan(timeInfo, name, expr, param, processType) case _ => emptyRulePlan } @@ -473,16 +473,16 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], private def distinctRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, param: Map[String, Any], processType: ProcessType, - dsRanges: Map[String, (Long, Long)] + dsTimeRanges: Map[String, TimeRange] ): RulePlan = { val details = getDetails(param) val sourceName = details.getString(DistinctnessKeys._source, dataSourceNames.head) - val targetName = details.getString(DistinctnessKeys._target, dataSourceNames.tail.head) - val analyzer = DistinctnessAnalyzer(expr.asInstanceOf[DistinctnessClause], sourceName, targetName) + val targetName = details.getString(UniquenessKeys._target, dataSourceNames.tail.head) + val analyzer = DistinctnessAnalyzer(expr.asInstanceOf[DistinctnessClause], sourceName) val ct = timeInfo.calcTime - val sourceRangeOpt = dsRanges.get(sourceName) + val sourceTimeRangeOpt = dsTimeRanges.get(sourceName) if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { println(s"[${ct}] data source ${sourceName} not exists") @@ -499,60 +499,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val exportDetails = emptyMap.addIfNotExist(ProcessDetailsKeys._baselineDataSource, sourceName) - // 1. source distinct mapping - val sourceTableName = "__source" - val sourceSql = s"SELECT DISTINCT ${selClause} FROM ${sourceName}" - val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) - - // 2. target mapping - val targetTableName = "__target" - val targetSql = sourceRangeOpt match { - case Some((min, max)) => { - s"SELECT ${selClause} FROM ${targetName} WHERE `${InternalColumns.tmst}` < ${min}" -// s"SELECT ${selClause} FROM ${targetName}" - } - case _ => { - s"SELECT ${selClause} FROM ${targetName}" - } - } - val targetStep = SparkSqlStep(targetTableName, targetSql, emptyMap) - - // 3. joined - val joinedTableName = "__joined" -// val joinedSelClause = aliases.map { alias => -// s"`${sourceTableName}`.`${alias}` AS `${alias}`" -// }.mkString(", ") - val joinedSelClause = s"`${sourceTableName}`.*" - val onClause = aliases.map { alias => - s"coalesce(`${sourceTableName}`.`${alias}`, '') = coalesce(`${targetTableName}`.`${alias}`, '')" - }.mkString(" AND ") - val sourceIsNull = aliases.map { alias => - s"`${sourceTableName}`.`${alias}` IS NULL" - }.mkString(" AND ") - val targetIsNull = aliases.map { alias => - s"`${targetTableName}`.`${alias}` IS NULL" - }.mkString(" AND ") - val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" - val joinedSql = { - s""" - |SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` - |ON ${onClause} WHERE ${whereClause} - """.stripMargin - } - val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) - - // 4. group -// val groupTableName = "__group" -// val groupSelClause = aliases.map { alias => -// s"`${alias}`" -// }.mkString(", ") -// val dupColName = details.getStringOrKey(DistinctnessKeys._dup) -// val groupSql = { -// s"SELECT ${groupSelClause}, COUNT(*) AS `${dupColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" -// } -// val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap, true) - - // 5. total metric + // 1. total metric val totalTableName = "__totalMetric" val totalColName = details.getStringOrKey(DistinctnessKeys._total) val totalSql = { @@ -562,54 +509,224 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, ct) - // 6. distinct metric - val distTableName = "__distMetric" - val distColName = details.getStringOrKey(DistinctnessKeys._distinct) - val distSql = { -// s"SELECT COUNT(*) AS `${distColName}` FROM `${groupTableName}`" - s"SELECT COUNT(*) AS `${distColName}` FROM `${joinedTableName}`" + val totalRulePlan = RulePlan(totalStep :: Nil, totalMetricExport :: Nil) + + val distRulePlan = processType match { + case StreamingProcessType if (sourceTimeRangeOpt.nonEmpty) => { + val sourceTimeRange = sourceTimeRangeOpt.get + val min = sourceTimeRange.begin + + // 2. distinct source record + val sourceTableName = "__source" + val sourceSql = { + s"SELECT DISTINCT ${selClause} FROM ${sourceName}" + } + val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) + + // 3. target record + val targetTableName = "__target" + val targetSql = { + s"SELECT ${selClause} FROM ${targetName} WHERE `${InternalColumns.tmst}` < ${min}" + } + val targetStep = SparkSqlStep(targetTableName, targetSql, emptyMap) + + // 4. joined + val joinedTableName = "__joined" + val joinedSelClause = s"`${sourceTableName}`.*" + val onClause = aliases.map { alias => + s"coalesce(`${sourceTableName}`.`${alias}`, '') = coalesce(`${targetTableName}`.`${alias}`, '')" + }.mkString(" AND ") + val sourceIsNull = aliases.map { alias => + s"`${sourceTableName}`.`${alias}` IS NULL" + }.mkString(" AND ") + val targetIsNull = aliases.map { alias => + s"`${targetTableName}`.`${alias}` IS NULL" + }.mkString(" AND ") + val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" + val joinedSql = { + s""" + |SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` + |ON ${onClause} WHERE ${whereClause} + """.stripMargin + } + val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) + + // 5. distinct metric + val distTableName = "__distMetric" + val distColName = details.getStringOrKey(DistinctnessKeys._distinct) + val distSql = { + s"SELECT COUNT(*) AS `${distColName}` FROM `${joinedTableName}`" + } + val distStep = SparkSqlStep(distTableName, distSql, exportDetails) + val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, ct) + + RulePlan(sourceStep :: targetStep :: joinedStep :: distStep :: Nil, distMetricExport :: Nil) + } + case _ => { + // 2. distinct source record + val sourceTableName = "__source" + val sourceSql = s"SELECT DISTINCT ${selClause} FROM ${sourceName}" + val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) + + // 3. distinct metric + val distTableName = "__distMetric" + val distColName = details.getStringOrKey(DistinctnessKeys._distinct) + val distSql = { + s"SELECT COUNT(*) AS `${distColName}` FROM `${sourceTableName}`" + } + val distStep = SparkSqlStep(distTableName, distSql, exportDetails) + val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, ct) + + RulePlan(sourceStep :: distStep :: Nil, distMetricExport :: Nil) + } } - val distStep = SparkSqlStep(distTableName, distSql, exportDetails) - val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, ct) - - val distinctSteps = sourceStep :: targetStep :: joinedStep :: - totalStep :: distStep :: Nil - val distinctExports = totalMetricExport :: distMetricExport :: Nil - val distinctRulePlan = RulePlan(distinctSteps, distinctExports) - - distinctRulePlan - -// val duplicationArrayName = details.getString(UniquenessKeys._duplicationArray, "") -// val dupRulePlan = if (duplicationArrayName.nonEmpty) { -// // 7. duplicate record -// val dupRecordTableName = "__dupRecords" -// val dupRecordSql = { -// s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" -// } -// val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, exportDetails, true) -// val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) -// val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, ct) + + totalRulePlan.merge(distRulePlan) + + } + } + +// private def distinctRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, +// param: Map[String, Any], processType: ProcessType, +// dsTimeRanges: Map[String, TimeRange] +// ): RulePlan = { +// val details = getDetails(param) +// val sourceName = details.getString(DistinctnessKeys._source, dataSourceNames.head) +// val targetName = details.getString(DistinctnessKeys._target, dataSourceNames.tail.head) +// val analyzer = DistinctnessAnalyzer(expr.asInstanceOf[DistinctnessClause], sourceName, targetName) +// +// val ct = timeInfo.calcTime // -// // 8. duplicate metric -// val dupMetricTableName = "__dupMetric" -// val numColName = details.getStringOrKey(UniquenessKeys._num) -// val dupMetricSql = { -// s""" -// |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` -// |FROM `${dupRecordTableName}` GROUP BY ${dupColName} -// """.stripMargin +// val sourceTimeRangeOpt = dsTimeRanges.get(sourceName) +// +// if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { +// println(s"[${ct}] data source ${sourceName} not exists") +// emptyRulePlan +// } else if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { +// println(s"[${ct}] data source ${targetName} not exists") +// emptyRulePlan +// } else { +// val selClause = analyzer.selectionPairs.map { pair => +// val (expr, alias) = pair +// s"${expr.desc} AS `${alias}`" +// }.mkString(", ") +// val aliases = analyzer.selectionPairs.map(_._2) +// +// val exportDetails = emptyMap.addIfNotExist(ProcessDetailsKeys._baselineDataSource, sourceName) +// +// // 1. source distinct mapping +// val sourceTableName = "__source" +// val sourceSql = s"SELECT DISTINCT ${selClause} FROM ${sourceName}" +// val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) +// +// // 2. target mapping +// val targetTableName = "__target" +// val targetSql = sourceRangeOpt match { +// case Some((min, max)) => { +// s"SELECT ${selClause} FROM ${targetName} WHERE `${InternalColumns.tmst}` < ${min}" +//// s"SELECT ${selClause} FROM ${targetName}" // } -// val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, exportDetails) -// val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) -// val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct) +// case _ => { +// s"SELECT ${selClause} FROM ${targetName}" +// } +// } +// val targetStep = SparkSqlStep(targetTableName, targetSql, emptyMap) +// +// // 3. joined +// val joinedTableName = "__joined" +//// val joinedSelClause = aliases.map { alias => +//// s"`${sourceTableName}`.`${alias}` AS `${alias}`" +//// }.mkString(", ") +// val joinedSelClause = s"`${sourceTableName}`.*" +// val onClause = aliases.map { alias => +// s"coalesce(`${sourceTableName}`.`${alias}`, '') = coalesce(`${targetTableName}`.`${alias}`, '')" +// }.mkString(" AND ") +// val sourceIsNull = aliases.map { alias => +// s"`${sourceTableName}`.`${alias}` IS NULL" +// }.mkString(" AND ") +// val targetIsNull = aliases.map { alias => +// s"`${targetTableName}`.`${alias}` IS NULL" +// }.mkString(" AND ") +// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" +// val joinedSql = { +// s""" +// |SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` +// |ON ${onClause} WHERE ${whereClause} +// """.stripMargin +// } +// val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) // -// RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) -// } else emptyRulePlan +// // 4. group +//// val groupTableName = "__group" +//// val groupSelClause = aliases.map { alias => +//// s"`${alias}`" +//// }.mkString(", ") +//// val dupColName = details.getStringOrKey(DistinctnessKeys._dup) +//// val groupSql = { +//// s"SELECT ${groupSelClause}, COUNT(*) AS `${dupColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" +//// } +//// val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap, true) // -// distinctRulePlan.merge(dupRulePlan) - } - } +// // 5. total metric +// val totalTableName = "__totalMetric" +// val totalColName = details.getStringOrKey(DistinctnessKeys._total) +// val totalSql = { +// s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" +// } +// val totalStep = SparkSqlStep(totalTableName, totalSql, exportDetails) +// val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) +// val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, ct) +// +// // 6. distinct metric +// val distTableName = "__distMetric" +// val distColName = details.getStringOrKey(DistinctnessKeys._distinct) +// val distSql = { +//// s"SELECT COUNT(*) AS `${distColName}` FROM `${groupTableName}`" +// s"SELECT COUNT(*) AS `${distColName}` FROM `${joinedTableName}`" +// } +// val distStep = SparkSqlStep(distTableName, distSql, exportDetails) +// val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) +// val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, ct) +// +// val distinctSteps = sourceStep :: targetStep :: joinedStep :: +// totalStep :: distStep :: Nil +// val distinctExports = totalMetricExport :: distMetricExport :: Nil +// val distinctRulePlan = RulePlan(distinctSteps, distinctExports) +// +// distinctRulePlan +// +//// val duplicationArrayName = details.getString(UniquenessKeys._duplicationArray, "") +//// val dupRulePlan = if (duplicationArrayName.nonEmpty) { +//// // 7. duplicate record +//// val dupRecordTableName = "__dupRecords" +//// val dupRecordSql = { +//// s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" +//// } +//// val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, exportDetails, true) +//// val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) +//// val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, ct) +//// +//// // 8. duplicate metric +//// val dupMetricTableName = "__dupMetric" +//// val numColName = details.getStringOrKey(UniquenessKeys._num) +//// val dupMetricSql = { +//// s""" +//// |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` +//// |FROM `${dupRecordTableName}` GROUP BY ${dupColName} +//// """.stripMargin +//// } +//// val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, exportDetails) +//// val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) +//// val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct) +//// +//// RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) +//// } else emptyRulePlan +//// +//// distinctRulePlan.merge(dupRulePlan) +// } +// } private def timelinessRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, param: Map[String, Any], processType: ProcessType diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index a56961ad3..b1f90fd73 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -26,6 +26,7 @@ import scala.collection.mutable.{Set => MutableSet} import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan.{TimeInfo, _} @@ -116,7 +117,7 @@ trait RuleAdaptor extends Loggable with Serializable { } def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], - procType: ProcessType, dsRanges: Map[String, (Long, Long)]): RulePlan + procType: ProcessType, dsTimeRanges: Map[String, TimeRange]): RulePlan protected def genRuleExports(param: Map[String, Any], defName: String, stepName: String, defTimestamp: Long diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala index 00dac693c..30a356c71 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptorGroup.scala @@ -21,7 +21,7 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.TempName import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.process.ProcessType -import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.temp.{TableRegisters, TimeRange} import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan._ import org.apache.spark.sql.SQLContext @@ -115,23 +115,23 @@ object RuleAdaptorGroup { // -- gen rule plan -- def genRulePlan(timeInfo: TimeInfo, evaluateRuleParam: EvaluateRuleParam, - procType: ProcessType, dsRanges: Map[String, (Long, Long)] + procType: ProcessType, dsTimeRanges: Map[String, TimeRange] ): RulePlan = { val dslTypeStr = if (evaluateRuleParam.dslType == null) "" else evaluateRuleParam.dslType val defaultDslType = DslType(dslTypeStr) val ruleParams = evaluateRuleParam.rules - genRulePlan(timeInfo, ruleParams, defaultDslType, procType, dsRanges) + genRulePlan(timeInfo, ruleParams, defaultDslType, procType, dsTimeRanges) } def genRulePlan(timeInfo: TimeInfo, ruleParams: Seq[Map[String, Any]], defaultDslType: DslType, procType: ProcessType, - dsRanges: Map[String, (Long, Long)] + dsTimeRanges: Map[String, TimeRange] ): RulePlan = { val (rulePlan, dsNames) = ruleParams.foldLeft((emptyRulePlan, dataSourceNames)) { (res, param) => val (plan, names) = res val dslType = getDslType(param, defaultDslType) val curPlan: RulePlan = genRuleAdaptor(dslType, names) match { - case Some(adaptor) => adaptor.genRulePlan(timeInfo, param, procType, dsRanges) + case Some(adaptor) => adaptor.genRulePlan(timeInfo, param, procType, dsTimeRanges) case _ => emptyRulePlan } val globalNames = curPlan.globalRuleSteps.map(_.name) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index a8b2e2664..b835a77e2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -20,6 +20,7 @@ package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.TempName import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.rule.dsl.MetricPersistType import org.apache.griffin.measure.rule.plan.{TimeInfo, _} import org.apache.griffin.measure.utils.ParamUtil._ @@ -40,7 +41,7 @@ case class SparkSqlAdaptor() extends RuleAdaptor { import RuleParamKeys._ def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], - procType: ProcessType, dsRanges: Map[String, (Long, Long)]): RulePlan = { + procType: ProcessType, dsTimeRanges: Map[String, TimeRange]): RulePlan = { val name = getRuleName(param) val step = SparkSqlStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime)) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala index f1b9e905d..55e4f3987 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala @@ -21,7 +21,8 @@ package org.apache.griffin.measure.rule.dsl.analyzer import org.apache.griffin.measure.rule.dsl.expr._ -case class DistinctnessAnalyzer(expr: DistinctnessClause, sourceName: String, targetName: String) extends BasicAnalyzer { +//case class DistinctnessAnalyzer(expr: DistinctnessClause, sourceName: String, targetName: String) extends BasicAnalyzer { +case class DistinctnessAnalyzer(expr: DistinctnessClause, sourceName: String) extends BasicAnalyzer { val seqAlias = (expr: Expr, v: Seq[String]) => { expr match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala index 0a91fab7e..aa5643b87 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/HdfsUtil.scala @@ -28,7 +28,7 @@ object HdfsUtil extends Loggable { private val conf = new Configuration() conf.setBoolean("dfs.support.append", true) - conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost +// conf.set("fs.defaultFS", "hdfs://localhost") // debug @localhost private val dfs = FileSystem.get(conf) diff --git a/measure/src/test/resources/_distinctness-batch-griffindsl.json b/measure/src/test/resources/_distinctness-batch-griffindsl.json index 985c78213..af0c91ee8 100644 --- a/measure/src/test/resources/_distinctness-batch-griffindsl.json +++ b/measure/src/test/resources/_distinctness-batch-griffindsl.json @@ -19,6 +19,7 @@ }, { "name": "target", + "baseline": true, "connectors": [ { "type": "avro", diff --git a/measure/src/test/resources/_distinctness-batch-griffindsl1.json b/measure/src/test/resources/_distinctness-batch-griffindsl1.json deleted file mode 100644 index d3533e45d..000000000 --- a/measure/src/test/resources/_distinctness-batch-griffindsl1.json +++ /dev/null @@ -1,56 +0,0 @@ -{ - "name": "dist_batch", - - "process.type": "batch", - - "data.sources": [ - { - "name": "source", - "baseline": true, - "connectors": [ - { - "type": "avro", - "version": "1.7", - "config": { - "file.name": "src/test/resources/timeliness_data.avro" - } - } - ] - }, - { - "name": "target", - "connectors": [ - { - "type": "avro", - "version": "1.7", - "config": { - "file.name": "src/test/resources/timeliness_data_target.avro" - } - } - ] - } - ], - - "evaluate.rule": { - "rules": [ - { - "dsl.type": "griffin-dsl", - "dq.type": "distinct", - "name": "dist", - "rule": "name, age", - "details": { - "source": "source", - "target": "target", - "total": "total", - "distinct": "distinct", - "dup": "dup", - "num": "num", - "duplication.array": "dup" - }, - "metric": { - "name": "distinct" - } - } - ] - } -} \ No newline at end of file diff --git a/measure/src/test/resources/_distinctness-streaming-griffindsl.json b/measure/src/test/resources/_distinctness-streaming-griffindsl.json index 4106b255f..0724f1cb0 100644 --- a/measure/src/test/resources/_distinctness-streaming-griffindsl.json +++ b/measure/src/test/resources/_distinctness-streaming-griffindsl.json @@ -6,45 +6,13 @@ "data.sources": [ { "name": "new", - "baseline": true, - "connectors": [ - { - "type": "kafka", - "version": "0.8", - "config": { - "kafka.config": { - "bootstrap.servers": "10.149.247.156:9092", - "group.id": "new", - "auto.offset.reset": "smallest", - "auto.commit.enable": "false" - }, - "topics": "ttt", - "key.type": "java.lang.String", - "value.type": "java.lang.String" - }, - "pre.proc": [ - { - "dsl.type": "df-opr", - "name": "${s1}", - "rule": "from_json", - "details": { - "df.name": "${this}" - } - }, - { - "dsl.type": "spark-sql", - "name": "${this}", - "rule": "select name, age from ${s1}" - } - ] - } - ], "cache": { - "file.path": "hdfs://localhost/griffin/streaming/dump/new", + "file.path": "hdfs://localhost/griffin/streaming/dump/old", "info.path": "new", "ready.time.interval": "10s", "ready.time.delay": "0", - "time.range": ["0", "0"] + "time.range": ["0", "0"], + "read.only": true } }, { From 3d84a46ea059d66fec7b68743da1ee1d4b8942ca Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 15 Jan 2018 14:00:01 +0800 Subject: [PATCH 108/177] refactor --- .../measure/data/source/DataSourceCache.scala | 2 +- .../measure/rule/adaptor/GlobalKeys.scala | 66 +++++++++++++++++++ .../rule/adaptor/GriffinDslAdaptor.scala | 47 ------------- 3 files changed, 67 insertions(+), 48 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala index 9744786bd..fff186f00 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala @@ -149,7 +149,7 @@ case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], // list partition paths val partitionPaths = listPathsBetweenRanges(filePath :: Nil, partitionRanges) - println(partitionPaths) +// println(partitionPaths) val dfOpt = if (partitionPaths.isEmpty) { None diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala new file mode 100644 index 000000000..6e15fd8a8 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala @@ -0,0 +1,66 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.adaptor + +object AccuracyKeys { + val _source = "source" + val _target = "target" + val _miss = "miss" + val _total = "total" + val _matched = "matched" + // val _missRecords = "missRecords" +} + +object ProfilingKeys { + val _source = "source" +} + +object UniquenessKeys { + val _source = "source" + val _target = "target" + val _unique = "unique" + val _total = "total" + val _dup = "dup" + val _num = "num" + val _duplicationArray = "duplication.array" +} + +object DistinctnessKeys { + val _source = "source" + val _target = "target" + val _distinct = "distinct" + val _total = "total" + val _dup = "dup" + val _num = "num" + val _duplicationArray = "duplication.array" +} + +object TimelinessKeys { + val _source = "source" + val _latency = "latency" + val _threshold = "threshold" +} + +object GlobalKeys { + val _initRule = "init.rule" +} + +object ProcessDetailsKeys { + val _baselineDataSource = "baseline.data.source" +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index da9c039bd..bfe9d4ca4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -30,53 +30,6 @@ import org.apache.griffin.measure.rule.plan.{TimeInfo, _} import org.apache.griffin.measure.utils.ParamUtil._ import org.apache.griffin.measure.utils.TimeUtil -object AccuracyKeys { - val _source = "source" - val _target = "target" - val _miss = "miss" - val _total = "total" - val _matched = "matched" -// val _missRecords = "missRecords" -} - -object ProfilingKeys { - val _source = "source" -} - -object UniquenessKeys { - val _source = "source" - val _target = "target" - val _unique = "unique" - val _total = "total" - val _dup = "dup" - val _num = "num" - val _duplicationArray = "duplication.array" -} - -object DistinctnessKeys { - val _source = "source" - val _target = "target" - val _distinct = "distinct" - val _total = "total" - val _dup = "dup" - val _num = "num" - val _duplicationArray = "duplication.array" -} - -object TimelinessKeys { - val _source = "source" - val _latency = "latency" - val _threshold = "threshold" -} - -object GlobalKeys { - val _initRule = "init.rule" -} - -object ProcessDetailsKeys { - val _baselineDataSource = "baseline.data.source" -} - case class GriffinDslAdaptor(dataSourceNames: Seq[String], functionNames: Seq[String] ) extends RuleAdaptor { From 88dc2898ef217bfd473552a2d74055667db19ddf Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 15 Jan 2018 15:37:09 +0800 Subject: [PATCH 109/177] test priority job --- .../org/apache/griffin/measure/cache/info/ZKInfoCache.scala | 2 +- measure/src/test/resources/_profiling-batch-griffindsl.json | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala index 6f7aa8f0f..ee99099b7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala @@ -116,7 +116,7 @@ case class ZKInfoCache(config: Map[String, Any], metricName: String) extends Inf } def clearInfo(): Unit = { - delete("/") +// delete("/") println("clear info") } diff --git a/measure/src/test/resources/_profiling-batch-griffindsl.json b/measure/src/test/resources/_profiling-batch-griffindsl.json index cd99eb150..043ba8506 100644 --- a/measure/src/test/resources/_profiling-batch-griffindsl.json +++ b/measure/src/test/resources/_profiling-batch-griffindsl.json @@ -26,7 +26,7 @@ "dsl.type": "griffin-dsl", "dq.type": "profiling", "name": "prof", - "rule": "select count(*) as `cnt`, count(distinct `post_code`) as `dis-cnt`, max(user_id) as `max` from source", + "rule": "count(*) from source", "metric": { "name": "prof" } @@ -35,7 +35,7 @@ "dsl.type": "griffin-dsl", "dq.type": "profiling", "name": "grp", - "rule": "select post_code as `pc`, count(*) as `cnt` from source group by post_code", + "rule": "source.post_code, count(*) from source group by source.post_code", "metric": { "name": "post_group", "collect.type": "array" From e3a484b99ef85be11b3d7b5f2e26574feb2dab36 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 15 Jan 2018 16:37:45 +0800 Subject: [PATCH 110/177] measure streaming sample doc --- .../measure/measure-streaming-sample-old.md | 204 -------------- .../measure/measure-streaming-sample.md | 256 ++++++++++++++++++ 2 files changed, 256 insertions(+), 204 deletions(-) delete mode 100644 griffin-doc/measure/measure-streaming-sample-old.md create mode 100644 griffin-doc/measure/measure-streaming-sample.md diff --git a/griffin-doc/measure/measure-streaming-sample-old.md b/griffin-doc/measure/measure-streaming-sample-old.md deleted file mode 100644 index 004ed3ba4..000000000 --- a/griffin-doc/measure/measure-streaming-sample-old.md +++ /dev/null @@ -1,204 +0,0 @@ - -# Measure streaming sample -Measures consists of batch measure and streaming measure. This document is for the streaming measure sample. - -### Data source -At current, we support kafka as streaming data source. -In this sample, we also need a kafka as data source. - -### Measure type -At current, we support accuracy measure in streaming mode. - -### Kafka decoder -In kafka, data always needs encode and decode, we support String type kafka data currently, you can also implement and use your decoder for kafka case. - -### Environment -For current griffin streaming case, we need some necessary environment dependencies, zookeeper and hdfs. -We use zookeeper to cache some checkpoint information, it's optional, but we recommend it. -We use hdfs to save the temporary data, it's also a recommend selection. - -### Streaming accuracy result -The streaming data will be separated into mini-batches of data, for each mini-batch data, there should be an accuracy result. Therefore, the streaming accuracy result should be a bunch of batch accuracy results with timestamp. -Considering the latency of streaming data, which means the source data and the matching target data will not exactly reach exactly at the same time, we have to accept some delay of data in streaming mode, by holding unmatched data in memory or disk, and try to match them later until the data is out-time. - -## How to run streaming sample -### Environment Preparation -At first, we need some environment preparation. -- Zookeeper: Zookeeper 3.4.10 -- Hadoop: Hadoop 2.6 -- Spark: Spark 1.6 -- Kafka: Kafka 0.8 - -### Data Preparation -Create two topics in kafka, for source and target data. For example, topic "source" for source data, and topic "target" for target data. -Streaming data should also be prepared, the format could be json string, for example: -Source data could be: -``` -{"name": "kevin", "age": 24} -{"name": "jason", "age": 25} -{"name": "jhon", "age": 28} -{"name": "steve", "age": 31} -``` -Target data could be: -``` -{"name": "kevin", "age": 24} -{"name": "jason", "age": 25} -{"name": "steve", "age": 20} -``` -You need to input the source data and target data into these two topics, through console producer might be a good choice for experimental purpose. - -### Configuration Preparation -Two configuration files are required. -Environment configuration file: env.json -``` -{ - "spark": { - "log.level": "WARN", - "checkpoint.dir": "hdfs:///griffin/streaming/cp", - "batch.interval": "5s", - "process.interval": "30s", - "config": { - "spark.task.maxFailures": 5, - "spark.streaming.kafkaMaxRatePerPartition": 1000, - "spark.streaming.concurrentJobs": 4 - } - }, - - "persist": [ - { - "type": "log", - "config": { - "max.log.lines": 100 - } - }, { - "type": "hdfs", - "config": { - "path": "hdfs:///griffin/streaming/persist", - "max.persist.lines": 10000, - "max.lines.per.file": 10000 - } - } - ], - - "info.cache": [ - { - "type": "zk", - "config": { - "hosts": ":2181", - "namespace": "griffin/infocache", - "lock.path": "lock", - "mode": "persist", - "init.clear": true, - "close.clear": false - } - } - ] -} -``` -In env.json, "spark" field configures the spark and spark streaming parameters, "persist" field configures the persist ways, we support "log", "hdfs" and "http" ways at current, "info.cache" field configures the information cache parameters, we support zookeeper only at current. - -Process configuration file: config.json -``` -{ - "name": "streaming-accu-sample", - "type": "accuracy", - "process.type": "streaming", - - "source": { - "type": "kafka", - "version": "0.8", - "config": { - "kafka.config": { - "bootstrap.servers": ":9092", - "group.id": "group1", - "auto.offset.reset": "smallest", - "auto.commit.enable": "false" - }, - "topics": "source", - "key.type": "java.lang.String", - "value.type": "java.lang.String" - }, - "cache": { - "type": "text", - "config": { - "file.path": "hdfs:///griffin/streaming/dump/source", - "info.path": "source", - "ready.time.interval": "10s", - "ready.time.delay": "0" - }, - "time.range": ["-5m", "0"] - }, - "match.once": true - }, - - "target": { - "type": "kafka", - "version": "0.8", - "config": { - "kafka.config": { - "bootstrap.servers": ":9092", - "group.id": "group1", - "auto.offset.reset": "smallest", - "auto.commit.enable": "false" - }, - "topics": "target", - "key.type": "java.lang.String", - "value.type": "java.lang.String" - }, - "cache": { - "type": "text", - "config": { - "file.path": "hdfs:///griffin/streaming/dump/target", - "info.path": "target", - "ready.time.interval": "10s", - "ready.time.delay": "0" - }, - "time.range": ["-5m", "0"] - }, - "match.once": false - }, - - "evaluateRule": { - "rules": "$source.json().name = $target.json().name AND $source.json().age = $target.json().age" - } -} -``` -In config.json, "source" and "target" fields configure the data source parameters. -The "cache" field in data source configuration represents the temporary data cache way, at current we support "text" and "hive" ways. We recommend "text" way, it only depends on hdfs. "time.range" means that the data older than the lower bound should be considered as out-time, and the out-time data will not be calculated any more. -"match.once" represents the data from this data source could be matched only once or more times. -"evaluateRule.rule" configures the match rule between each source and target data. - -### Run -Build the measure package. -``` -mvn clean install -``` -Get the measure package ```measure--incubating-SNAPSHOT.jar```, rename it to ```griffin-measure.jar```. -Put measure package together with env.json and config.json. -Run the following command: -``` -spark-submit --class org.apache.griffin.measure.Application \ ---master yarn-client --queue default \ -griffin-measure.jar \ -env.json config.json local,local -``` -The first two parameters are the paths of env.json and config.json, the third parameter represents the file system type of the two configuration files, "local" or "hdfs" are both supported. - -The spark streaming application will be long-time running, you can get the results of each mini-batch of data, during the run-time, you can also input more data into source and target topics, to check the results of the later mini-batches. diff --git a/griffin-doc/measure/measure-streaming-sample.md b/griffin-doc/measure/measure-streaming-sample.md new file mode 100644 index 000000000..5c80576e1 --- /dev/null +++ b/griffin-doc/measure/measure-streaming-sample.md @@ -0,0 +1,256 @@ + + +# Measure Streaming Sample +Measures consists of batch measure and streaming measure. This document is for the streaming measure sample. + +## Streaming Accuracy Sample +``` +{ + "name": "accu_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "src_group", + "auto.offset.reset": "largest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + }, { + "name": "target", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "tgt_group", + "auto.offset.reset": "largest", + "auto.commit.enable": "false" + }, + "topics": "ttt", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${t1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${t1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/target", + "info.path": "target", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["-2m", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "accuracy", + "name": "accu", + "rule": "source.name = target.name and source.age = target.age", + "details": { + "source": "source", + "target": "target", + "miss": "miss_count", + "total": "total_count", + "matched": "matched_count" + }, + "metric": { + "name": "accu" + }, + "record": { + "name": "missRecords", + "data.source.cache": "source" + } + } + ] + } +} +``` +Above is the configure file of streaming accuracy job. + +### Data source +In this sample, we use kafka topics as source and target. +At current, griffin supports kafka 0.8, for 1.0 or later version is during implementation. +In griffin implementation, we can only support json string as kafka data, which could describe itself in data. In some other solution, there might be a schema proxy for kafka binary data, you can implement such data source connector if you need, it's also during implementation by us. +In streaming cases, the data from topics always needs some pre-process first, which is configured in `pre.proc`, just like the `rules`, griffin will not parse sql content, so we use some pattern to mark your temporory tables. `${this}` means the origin data set, and the output table name should also be `${this}`. + +For example, you can create two topics in kafka, for source and target data, the format could be json string. +Source data could be: +``` +{"name": "kevin", "age": 24} +{"name": "jason", "age": 25} +{"name": "jhon", "age": 28} +{"name": "steve", "age": 31} +``` +Target data could be: +``` +{"name": "kevin", "age": 24} +{"name": "jason", "age": 25} +{"name": "steve", "age": 20} +``` +You need to input the source data and target data into these two topics, through console producer might be a good choice for experimental purpose. + +### Evaluate rule +In this accuracy sample, the rule describes the match condition: `source.name = target.name and source.age = target.age`. +The accuracy metrics will be persisted as metric, with miss column named "miss_count", total column named "total_count", matched column named "matched_count". +The miss records of source will be persisted as record. + +## Streaming Profiling Sample +``` +{ + "name": "prof_streaming", + + "process.type": "streaming", + + "data.sources": [ + { + "name": "source", + "connectors": [ + { + "type": "kafka", + "version": "0.8", + "config": { + "kafka.config": { + "bootstrap.servers": "10.149.247.156:9092", + "group.id": "group1", + "auto.offset.reset": "smallest", + "auto.commit.enable": "false" + }, + "topics": "sss", + "key.type": "java.lang.String", + "value.type": "java.lang.String" + }, + "pre.proc": [ + { + "dsl.type": "df-opr", + "name": "${s1}", + "rule": "from_json", + "details": { + "df.name": "${this}" + } + }, + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${s1}" + } + ] + } + ], + "cache": { + "file.path": "hdfs://localhost/griffin/streaming/dump/source", + "info.path": "source", + "ready.time.interval": "10s", + "ready.time.delay": "0", + "time.range": ["0", "0"] + } + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "prof", + "rule": "select count(name) as `cnt`, max(age) as `max`, min(age) as `min` from source", + "metric": { + "name": "prof" + } + }, + { + "dsl.type": "griffin-dsl", + "dq.type": "profiling", + "name": "grp", + "rule": "select name, count(*) as `cnt` from source group by name", + "metric": { + "name": "name_group", + "collect.type": "array" + } + } + ] + } +} +``` +Above is the configure file of streaming profiling job. + +### Data source +In this sample, we use kafka topics as source. + +### Evaluate rule +In this profiling sample, the rule describes the profiling request: `select count(name) as `cnt`, max(age) as `max`, min(age) as `min` from source` and `select name, count(*) as `cnt` from source group by name`. +The profiling metrics will be persisted as metric, with these two results in one json. \ No newline at end of file From 2af27227496750077dc9fab89131d502103af25e Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 16 Jan 2018 16:15:15 +0800 Subject: [PATCH 111/177] dist --- .../measure/process/BatchDqProcess.scala | 6 +- .../griffin/measure/process/ExportMode.scala | 34 ++ .../measure/process/StreamingDqThread.scala | 6 +- .../measure/process/engine/DqEngine.scala | 6 +- .../measure/process/engine/DqEngines.scala | 32 +- .../process/engine/SparkDqEngine.scala | 89 ++-- .../process/engine/SparkSqlEngine.scala | 3 + .../rule/adaptor/DataFrameOprAdaptor.scala | 5 +- .../measure/rule/adaptor/GlobalKeys.scala | 1 + .../rule/adaptor/GriffinDslAdaptor.scala | 404 ++++++++---------- .../rule/adaptor/InternalColumns.scala | 4 +- .../measure/rule/adaptor/RuleAdaptor.scala | 21 +- .../rule/adaptor/SparkSqlAdaptor.scala | 5 +- .../measure/rule/plan/MetricExport.scala | 7 +- .../measure/rule/plan/RecordExport.scala | 8 +- .../measure/rule/plan/RuleExport.scala | 4 + .../_distinctness-batch-griffindsl1.json | 73 ++++ .../_distinctness-streaming-griffindsl.json | 6 +- measure/src/test/resources/dupdata.avro | Bin 0 -> 304 bytes measure/src/test/resources/empty.avro | Bin 0 -> 215 bytes 20 files changed, 388 insertions(+), 326 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/process/ExportMode.scala create mode 100644 measure/src/test/resources/_distinctness-batch-griffindsl1.json create mode 100644 measure/src/test/resources/dupdata.avro create mode 100644 measure/src/test/resources/empty.avro diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 614722156..950cd273e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -116,11 +116,9 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { dqEngines.runRuleSteps(calcTimeInfo, rulePlan.ruleSteps) // persist results - dqEngines.persistAllMetrics(calcTimeInfo, rulePlan.metricExports, - BatchProcessType, persistFactory) + dqEngines.persistAllMetrics(calcTimeInfo, rulePlan.metricExports, persistFactory) - dqEngines.persistAllRecords(calcTimeInfo, rulePlan.recordExports, - BatchProcessType, persistFactory, dataSources) + dqEngines.persistAllRecords(calcTimeInfo, rulePlan.recordExports, persistFactory, dataSources) // dfs.foreach(_._2.cache()) // // dqEngines.persistAllRecords(dfs, persistFactory) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/ExportMode.scala b/measure/src/main/scala/org/apache/griffin/measure/process/ExportMode.scala new file mode 100644 index 000000000..42aa92bf1 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/process/ExportMode.scala @@ -0,0 +1,34 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.process + +sealed trait ExportMode {} + +object ExportMode { + def defaultMode(procType: ProcessType): ExportMode = { + procType match { + case BatchProcessType => SimpleMode + case StreamingProcessType => TimestampMode + } + } +} + +final case object SimpleMode extends ExportMode {} + +final case object TimestampMode extends ExportMode {} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 67b863abb..fcf9528aa 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -85,8 +85,7 @@ case class StreamingDqThread(sqlContext: SQLContext, // persist results // val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) - dqEngines.persistAllMetrics(calcTimeInfo, optRulePlan.metricExports, - StreamingProcessType, persistFactory) + dqEngines.persistAllMetrics(calcTimeInfo, optRulePlan.metricExports, persistFactory) // println(s"--- timeGroups: ${timeGroups}") val rt = new Date().getTime @@ -94,8 +93,7 @@ case class StreamingDqThread(sqlContext: SQLContext, appPersist.log(rt, persistResultTimeStr) // persist records - dqEngines.persistAllRecords(calcTimeInfo, optRulePlan.recordExports, - StreamingProcessType, persistFactory, dataSources) + dqEngines.persistAllRecords(calcTimeInfo, optRulePlan.recordExports, persistFactory, dataSources) val et = new Date().getTime val persistTimeStr = s"persist records using time: ${et - rt} ms" diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index a48c4d13d..00c6ef4de 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -34,16 +34,14 @@ trait DqEngine extends Loggable with Serializable { protected def collectable(): Boolean = false - def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport, procType: ProcessType - ): Map[Long, Map[String, Any]] + def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport): Map[Long, Map[String, Any]] // def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] // // def collectUpdateCacheDatas(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] // def collectUpdateRDD(ruleStep: RuleStep): Option[DataFrame] - def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport, procType: ProcessType - ): Map[Long, DataFrame] +// def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport): Map[Long, DataFrame] def collectBatchRecords(recordExport: RecordExport): Option[RDD[String]] diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 3f17ee883..216392557 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -25,7 +25,7 @@ import org.apache.griffin.measure.data.source._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.temp.TimeRange -import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} +import org.apache.griffin.measure.process._ import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan._ @@ -54,12 +54,11 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } - def persistAllMetrics(timeInfo: TimeInfo, metricExports: Seq[MetricExport], - procType: ProcessType, persistFactory: PersistFactory + def persistAllMetrics(timeInfo: TimeInfo, metricExports: Seq[MetricExport], persistFactory: PersistFactory ): Unit = { val allMetrics: Map[Long, Map[String, Any]] = { metricExports.foldLeft(Map[Long, Map[String, Any]]()) { (ret, metricExport) => - val metrics = collectMetrics(timeInfo, metricExport, procType) + val metrics = collectMetrics(timeInfo, metricExport) metrics.foldLeft(ret) { (total, pair) => val (k, v) = pair total.get(k) match { @@ -113,7 +112,7 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { Await.result(pro.future, Duration.Inf) } - def persistAllRecords(timeInfo: TimeInfo, recordExports: Seq[RecordExport], procType: ProcessType, + def persistAllRecords(timeInfo: TimeInfo, recordExports: Seq[RecordExport], persistFactory: PersistFactory, dataSources: Seq[DataSource] ): Unit = { // method 1: multi thread persist multi data frame @@ -125,13 +124,13 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { // method 2: multi thread persist multi iterable recordExports.foreach { recordExport => // val records = collectRecords(timeInfo, recordExport, procType) - procType match { - case BatchProcessType => { + recordExport.mode match { + case SimpleMode => { collectBatchRecords(recordExport).foreach { rdd => persistCollectedBatchRecords(timeInfo, recordExport, rdd, persistFactory) } } - case StreamingProcessType => { + case TimestampMode => { val (rddOpt, emptySet) = collectStreamingRecords(recordExport) persistCollectedStreamingRecords(recordExport, rddOpt, emptySet, persistFactory, dataSources) // collectStreamingRecords(recordExport).foreach { rddPair => @@ -283,21 +282,20 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { // engine.collectUpdateCacheDatas(ruleStep, timeGroups) // }.headOption // } - def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport, procType: ProcessType + def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport ): Map[Long, Map[String, Any]] = { val ret = engines.foldLeft(Map[Long, Map[String, Any]]()) { (ret, engine) => - if (ret.nonEmpty) ret else engine.collectMetrics(timeInfo, metricExport, procType) + if (ret.nonEmpty) ret else engine.collectMetrics(timeInfo, metricExport) } ret } - def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport, procType: ProcessType - ): Map[Long, DataFrame] = { - val ret = engines.foldLeft(Map[Long, DataFrame]()) { (ret, engine) => - if (ret.nonEmpty) ret else engine.collectRecords(timeInfo, recordExport, procType) - } - ret - } +// def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport): Map[Long, DataFrame] = { +// val ret = engines.foldLeft(Map[Long, DataFrame]()) { (ret, engine) => +// if (ret.nonEmpty) ret else engine.collectRecords(timeInfo, recordExport) +// } +// ret +// } def collectUpdateRDD(ruleStep: RuleStep): Option[DataFrame] = { // engines.flatMap { engine => diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 54a03012f..3bcecdbc4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -20,7 +20,7 @@ package org.apache.griffin.measure.process.engine import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.process.{BatchProcessType, ProcessType, StreamingProcessType} +import org.apache.griffin.measure.process._ import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan._ @@ -68,18 +68,18 @@ trait SparkDqEngine extends DqEngine { } } - def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport, procType: ProcessType + def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport ): Map[Long, Map[String, Any]] = { if (collectable) { - val MetricExport(name, stepName, collectType, defTmst) = metricExport + val MetricExport(name, stepName, collectType, defTmst, mode) = metricExport try { - val metricMaps = getMetricMaps(stepName) - procType match { - case BatchProcessType => { + val metricMaps: Seq[Map[String, Any]] = getMetricMaps(stepName) + mode match { + case SimpleMode => { val metrics: Map[String, Any] = normalizeMetric(metricMaps, name, collectType) emptyMetricMap + (defTmst -> metrics) } - case StreamingProcessType => { + case TimestampMode => { val tmstMetrics = metricMaps.map { metric => val tmst = metric.getLong(InternalColumns.tmst, defTmst) val pureMetric = metric.removeKeys(InternalColumns.columns) @@ -111,46 +111,45 @@ trait SparkDqEngine extends DqEngine { } } - def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport, procType: ProcessType - ): Map[Long, DataFrame] = { - if (collectable) { - val RecordExport(_, stepName, _, originDFOpt, defTmst) = recordExport - val stepDf = sqlContext.table(s"`${stepName}`") - val recordsDf = originDFOpt match { - case Some(originName) => sqlContext.table(s"`${originName}`") - case _ => stepDf - } - - procType match { - case BatchProcessType => { - val recordsDf = sqlContext.table(s"`${stepName}`") - emptyRecordMap + (defTmst -> recordsDf) - } - case StreamingProcessType => { - originDFOpt match { - case Some(originName) => { - val recordsDf = sqlContext.table(s"`${originName}`") - stepDf.map { row => - val tmst = getTmst(row, defTmst) - val trdf = if (recordsDf.columns.contains(InternalColumns.tmst)) { - recordsDf.filter(s"`${InternalColumns.tmst}` = ${tmst}") - } else recordsDf - (tmst, trdf) - }.collect.toMap - } - case _ => { - val recordsDf = stepDf - emptyRecordMap + (defTmst -> recordsDf) - } - } - } - } - } else emptyRecordMap - } +// def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport): Map[Long, DataFrame] = { +// if (collectable) { +// val RecordExport(_, stepName, _, originDFOpt, defTmst, procType) = recordExport +// val stepDf = sqlContext.table(s"`${stepName}`") +// val recordsDf = originDFOpt match { +// case Some(originName) => sqlContext.table(s"`${originName}`") +// case _ => stepDf +// } +// +// procType match { +// case BatchProcessType => { +// val recordsDf = sqlContext.table(s"`${stepName}`") +// emptyRecordMap + (defTmst -> recordsDf) +// } +// case StreamingProcessType => { +// originDFOpt match { +// case Some(originName) => { +// val recordsDf = sqlContext.table(s"`${originName}`") +// stepDf.map { row => +// val tmst = getTmst(row, defTmst) +// val trdf = if (recordsDf.columns.contains(InternalColumns.tmst)) { +// recordsDf.filter(s"`${InternalColumns.tmst}` = ${tmst}") +// } else recordsDf +// (tmst, trdf) +// }.collect.toMap +// } +// case _ => { +// val recordsDf = stepDf +// emptyRecordMap + (defTmst -> recordsDf) +// } +// } +// } +// } +// } else emptyRecordMap +// } private def getRecordDataFrame(recordExport: RecordExport): Option[DataFrame] = { if (collectable) { - val RecordExport(_, stepName, _, _, defTmst) = recordExport + val RecordExport(_, stepName, _, _, defTmst, procType) = recordExport val stepDf = sqlContext.table(s"`${stepName}`") Some(stepDf) } else None @@ -161,7 +160,7 @@ trait SparkDqEngine extends DqEngine { } def collectStreamingRecords(recordExport: RecordExport): (Option[RDD[(Long, Iterable[String])]], Set[Long]) = { - val RecordExport(_, _, _, originDFOpt, defTmst) = recordExport + val RecordExport(_, _, _, originDFOpt, defTmst, procType) = recordExport getRecordDataFrame(recordExport) match { case Some(stepDf) => { originDFOpt match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index 9de795559..dcb02f68c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -47,6 +47,9 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { } } else sqlContext.sql(rule) +// println(name) +// rdf.show(10) + if (rs.isGlobal) { if (rs.needCache) DataFrameCaches.cacheGlobalDataFrame(name, rdf) TableRegisters.registerRunGlobalTable(rdf, name) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 421403058..97589ad75 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -18,7 +18,7 @@ under the License. */ package org.apache.griffin.measure.rule.adaptor -import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.process.{ExportMode, ProcessType} import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.rule.plan.{TimeInfo, _} import org.apache.griffin.measure.utils.ParamUtil._ @@ -51,7 +51,8 @@ case class DataFrameOprAdaptor() extends RuleAdaptor { procType: ProcessType, dsTimeRanges: Map[String, TimeRange]): RulePlan = { val name = getRuleName(param) val step = DfOprStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) - RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime)) + val mode = ExportMode.defaultMode(procType) + RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime, mode)) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala index 6e15fd8a8..9ef62525f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala @@ -47,6 +47,7 @@ object DistinctnessKeys { val _distinct = "distinct" val _total = "total" val _dup = "dup" + val _accu_dup = "accu_dup" val _num = "num" val _duplicationArray = "duplication.array" } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index bfe9d4ca4..39c464d8a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -76,13 +76,15 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // with accuracy opr private def accuracyRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], processType: ProcessType + param: Map[String, Any], procType: ProcessType ): RulePlan = { val details = getDetails(param) val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) + val mode = ExportMode.defaultMode(procType) + val ct = timeInfo.calcTime if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { @@ -107,10 +109,10 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" } val missRecordsStep = SparkSqlStep(missRecordsTableName, missRecordsSql, emptyMap, true) - val missRecordsExports = processType match { + val missRecordsExports = procType match { case BatchProcessType => { val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - genRecordExport(recordParam, missRecordsTableName, missRecordsTableName, ct) :: Nil + genRecordExport(recordParam, missRecordsTableName, missRecordsTableName, ct, mode) :: Nil } case StreamingProcessType => Nil } @@ -118,7 +120,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 2. miss count val missCountTableName = "__missCount" val missColName = details.getStringOrKey(AccuracyKeys._miss) - val missCountSql = processType match { + val missCountSql = procType match { case BatchProcessType => s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}`" case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}` GROUP BY `${InternalColumns.tmst}`" } @@ -127,7 +129,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 3. total count val totalCountTableName = "__totalCount" val totalColName = details.getStringOrKey(AccuracyKeys._total) - val totalCountSql = processType match { + val totalCountSql = procType match { case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}`" } @@ -136,7 +138,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 4. accuracy metric val accuracyTableName = name val matchedColName = details.getStringOrKey(AccuracyKeys._matched) - val accuracyMetricSql = processType match { + val accuracyMetricSql = procType match { case BatchProcessType => { s""" |SELECT `${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, @@ -157,10 +159,10 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } val accuracyStep = SparkSqlStep(accuracyTableName, accuracyMetricSql, emptyMap) - val accuracyExports = processType match { + val accuracyExports = procType match { case BatchProcessType => { val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - genMetricExport(metricParam, accuracyTableName, accuracyTableName, ct) :: Nil + genMetricExport(metricParam, accuracyTableName, accuracyTableName, ct, mode) :: Nil } case StreamingProcessType => Nil } @@ -171,7 +173,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuPlan = RulePlan(accuSteps, accuExports) // streaming extra accu plan - val streamingAccuPlan = processType match { + val streamingAccuPlan = procType match { case BatchProcessType => emptyRulePlan case StreamingProcessType => { // 5. accuracy metric merge @@ -186,7 +188,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuracyMetricStep = DfOprStep(accuracyMetricTableName, accuracyMetricRule, accuracyMetricDetails) val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val accuracyMetricExports = genMetricExport(metricParam, name, accuracyMetricTableName, ct) :: Nil + val accuracyMetricExports = genMetricExport(metricParam, name, accuracyMetricTableName, ct, mode) :: Nil // 6. collect accuracy records val accuracyRecordTableName = "__accuracyRecords" @@ -201,7 +203,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val accuracyRecordParam = recordParam.addIfNotExist(ExportParamKeys._dataSourceCache, sourceName) .addIfNotExist(ExportParamKeys._originDF, missRecordsTableName) val accuracyRecordExports = genRecordExport( - accuracyRecordParam, missRecordsTableName, accuracyRecordTableName, ct) :: Nil + accuracyRecordParam, missRecordsTableName, accuracyRecordTableName, ct, mode) :: Nil // gen accu plan val extraSteps = accuracyMetricStep :: accuracyRecordStep :: Nil @@ -219,7 +221,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } private def profilingRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], processType: ProcessType + param: Map[String, Any], procType: ProcessType ): RulePlan = { val details = getDetails(param) val profilingClause = expr.asInstanceOf[ProfilingClause] @@ -229,6 +231,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc + val mode = ExportMode.defaultMode(procType) + val ct = timeInfo.calcTime if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { @@ -243,12 +247,12 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], s"${sel.desc}${alias}" } val selCondition = profilingClause.selectClause.extraConditionOpt.map(_.desc).mkString - val selClause = processType match { + val selClause = procType match { case BatchProcessType => selExprDescs.mkString(", ") case StreamingProcessType => (s"`${InternalColumns.tmst}`" +: selExprDescs).mkString(", ") } val groupByClauseOpt = analyzer.groupbyExprOpt - val groupbyClause = processType match { + val groupbyClause = procType match { case BatchProcessType => groupByClauseOpt.map(_.desc).getOrElse("") case StreamingProcessType => { val tmstGroupbyClause = GroupbyClause(LiteralStringExpr(s"`${InternalColumns.tmst}`") :: Nil, None) @@ -269,20 +273,22 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val profilingName = name val profilingStep = SparkSqlStep(profilingName, profilingSql, details) val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val profilingExports = genMetricExport(metricParam, name, profilingName, ct) :: Nil + val profilingExports = genMetricExport(metricParam, name, profilingName, ct, mode) :: Nil RulePlan(profilingStep :: Nil, profilingExports) } } private def uniquenessRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], processType: ProcessType + param: Map[String, Any], procType: ProcessType ): RulePlan = { val details = getDetails(param) val sourceName = details.getString(UniquenessKeys._source, dataSourceNames.head) val targetName = details.getString(UniquenessKeys._target, dataSourceNames.tail.head) val analyzer = UniquenessAnalyzer(expr.asInstanceOf[UniquenessClause], sourceName, targetName) + val mode = ExportMode.defaultMode(procType) + val ct = timeInfo.calcTime if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { @@ -298,11 +304,11 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], }.mkString(", ") val aliases = analyzer.selectionPairs.map(_._2) - val selClause = processType match { + val selClause = procType match { case BatchProcessType => selItemsClause case StreamingProcessType => s"`${InternalColumns.tmst}`, ${selItemsClause}" } - val selAliases = processType match { + val selAliases = procType match { case BatchProcessType => aliases case StreamingProcessType => InternalColumns.tmst +: aliases } @@ -344,7 +350,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 5. total metric val totalTableName = "__totalMetric" val totalColName = details.getStringOrKey(UniquenessKeys._total) - val totalSql = processType match { + val totalSql = procType match { case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" case StreamingProcessType => { s""" @@ -355,7 +361,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, ct) + val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, ct, mode) // 6. unique record val uniqueRecordTableName = "__uniqueRecord" @@ -367,7 +373,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 7. unique metric val uniqueTableName = "__uniqueMetric" val uniqueColName = details.getStringOrKey(UniquenessKeys._unique) - val uniqueSql = processType match { + val uniqueSql = procType match { case BatchProcessType => s"SELECT COUNT(*) AS `${uniqueColName}` FROM `${uniqueRecordTableName}`" case StreamingProcessType => { s""" @@ -378,7 +384,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val uniqueStep = SparkSqlStep(uniqueTableName, uniqueSql, emptyMap) val uniqueMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val uniqueMetricExport = genMetricExport(uniqueMetricParam, uniqueColName, uniqueTableName, ct) + val uniqueMetricExport = genMetricExport(uniqueMetricParam, uniqueColName, uniqueTableName, ct, mode) val uniqueSteps = sourceStep :: targetStep :: joinedStep :: groupStep :: totalStep :: uniqueRecordStep :: uniqueStep :: Nil @@ -394,16 +400,16 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val dupRecordExport = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName, ct) + val dupRecordExport = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName, ct, mode) // 9. duplicate metric val dupMetricTableName = "__dupMetric" val numColName = details.getStringOrKey(UniquenessKeys._num) - val dupMetricSelClause = processType match { + val dupMetricSelClause = procType match { case BatchProcessType => s"`${dupColName}`, COUNT(*) AS `${numColName}`" case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`, COUNT(*) AS `${numColName}`" } - val dupMetricGroupbyClause = processType match { + val dupMetricGroupbyClause = procType match { case BatchProcessType => s"`${dupColName}`" case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`" } @@ -415,7 +421,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct, mode) RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) } else emptyRulePlan @@ -425,7 +431,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } private def distinctRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], processType: ProcessType, + param: Map[String, Any], procType: ProcessType, dsTimeRanges: Map[String, TimeRange] ): RulePlan = { val details = getDetails(param) @@ -433,9 +439,12 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val targetName = details.getString(UniquenessKeys._target, dataSourceNames.tail.head) val analyzer = DistinctnessAnalyzer(expr.asInstanceOf[DistinctnessClause], sourceName) + val mode = SimpleMode + val ct = timeInfo.calcTime - val sourceTimeRangeOpt = dsTimeRanges.get(sourceName) + val sourceTimeRange = dsTimeRanges.get(sourceName).getOrElse(TimeRange(ct)) + val beginTime = sourceTimeRange.begin if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { println(s"[${ct}] data source ${sourceName} not exists") @@ -444,250 +453,177 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], println(s"[${ct}] data source ${targetName} not exists") emptyRulePlan } else { + val withOlderTable = TableRegisters.existRunTempTable(timeInfo.key, targetName) + val selClause = analyzer.selectionPairs.map { pair => val (expr, alias) = pair s"${expr.desc} AS `${alias}`" }.mkString(", ") val aliases = analyzer.selectionPairs.map(_._2) + val aliasesClause = aliases.map( a => s"`${a}`" ).mkString(", ") - val exportDetails = emptyMap.addIfNotExist(ProcessDetailsKeys._baselineDataSource, sourceName) + // 1. source alias + val sourceAliasTableName = "__sourceAlias" + val sourceAliasSql = { + s"SELECT ${selClause} FROM `${sourceName}`" + } + val sourceAliasStep = SparkSqlStep(sourceAliasTableName, sourceAliasSql, emptyMap, true) - // 1. total metric + // 2. total metric val totalTableName = "__totalMetric" val totalColName = details.getStringOrKey(DistinctnessKeys._total) val totalSql = { - s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceAliasTableName}`" } - val totalStep = SparkSqlStep(totalTableName, totalSql, exportDetails) + val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, ct) - - val totalRulePlan = RulePlan(totalStep :: Nil, totalMetricExport :: Nil) - - val distRulePlan = processType match { - case StreamingProcessType if (sourceTimeRangeOpt.nonEmpty) => { - val sourceTimeRange = sourceTimeRangeOpt.get - val min = sourceTimeRange.begin - - // 2. distinct source record - val sourceTableName = "__source" - val sourceSql = { - s"SELECT DISTINCT ${selClause} FROM ${sourceName}" - } - val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) - - // 3. target record - val targetTableName = "__target" - val targetSql = { - s"SELECT ${selClause} FROM ${targetName} WHERE `${InternalColumns.tmst}` < ${min}" + val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, beginTime, mode) + + // 3. group by self + val selfGroupTableName = "__selfGroup" + val dupColName = details.getStringOrKey(DistinctnessKeys._dup) + val accuDupColName = details.getStringOrKey(DistinctnessKeys._accu_dup) + val selfGroupSql = { + s""" + |SELECT ${aliasesClause}, (COUNT(*) - 1) AS `${dupColName}`, + |TRUE AS `${InternalColumns.distinct}` + |FROM `${sourceAliasTableName}` GROUP BY ${aliasesClause} + """.stripMargin + } + val selfGroupStep = SparkSqlStep(selfGroupTableName, selfGroupSql, emptyMap, true) + + val selfDistRulePlan = RulePlan( + sourceAliasStep :: totalStep :: selfGroupStep :: Nil, + totalMetricExport :: Nil + ) + + val (distRulePlan, dupCountTableName) = procType match { + case StreamingProcessType if (withOlderTable) => { + // 4. older alias + val olderAliasTableName = "__older" + val olderAliasSql = { + s"SELECT ${selClause} FROM `${targetName}` WHERE `${InternalColumns.tmst}` < ${beginTime}" } - val targetStep = SparkSqlStep(targetTableName, targetSql, emptyMap) + val olderAliasStep = SparkSqlStep(olderAliasTableName, olderAliasSql, emptyMap) - // 4. joined + // 5. join with older data val joinedTableName = "__joined" - val joinedSelClause = s"`${sourceTableName}`.*" + val selfSelClause = (aliases :+ dupColName).map { alias => + s"`${selfGroupTableName}`.`${alias}`" + }.mkString(", ") val onClause = aliases.map { alias => - s"coalesce(`${sourceTableName}`.`${alias}`, '') = coalesce(`${targetTableName}`.`${alias}`, '')" + s"coalesce(`${selfGroupTableName}`.`${alias}`, '') = coalesce(`${olderAliasTableName}`.`${alias}`, '')" }.mkString(" AND ") - val sourceIsNull = aliases.map { alias => - s"`${sourceTableName}`.`${alias}` IS NULL" + val olderIsNull = aliases.map { alias => + s"`${olderAliasTableName}`.`${alias}` IS NULL" }.mkString(" AND ") - val targetIsNull = aliases.map { alias => - s"`${targetTableName}`.`${alias}` IS NULL" - }.mkString(" AND ") - val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" val joinedSql = { s""" - |SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` - |ON ${onClause} WHERE ${whereClause} + |SELECT ${selfSelClause}, (${olderIsNull}) AS `${InternalColumns.distinct}` + |FROM `${olderAliasTableName}` RIGHT JOIN `${selfGroupTableName}` + |ON ${onClause} """.stripMargin } val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) - // 5. distinct metric - val distTableName = "__distMetric" - val distColName = details.getStringOrKey(DistinctnessKeys._distinct) - val distSql = { - s"SELECT COUNT(*) AS `${distColName}` FROM `${joinedTableName}`" + // 6. group by joined data + val groupTableName = "__group" + val moreDupColName = "_more_dup" + val groupSql = { + s""" + |SELECT ${aliasesClause}, `${dupColName}`, `${InternalColumns.distinct}`, + |COUNT(*) AS `${moreDupColName}` + |FROM `${joinedTableName}` + |GROUP BY ${aliasesClause}, `${dupColName}`, `${InternalColumns.distinct}` + """.stripMargin } - val distStep = SparkSqlStep(distTableName, distSql, exportDetails) - val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, ct) + val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap) - RulePlan(sourceStep :: targetStep :: joinedStep :: distStep :: Nil, distMetricExport :: Nil) - } - case _ => { - // 2. distinct source record - val sourceTableName = "__source" - val sourceSql = s"SELECT DISTINCT ${selClause} FROM ${sourceName}" - val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) - - // 3. distinct metric - val distTableName = "__distMetric" - val distColName = details.getStringOrKey(DistinctnessKeys._distinct) - val distSql = { - s"SELECT COUNT(*) AS `${distColName}` FROM `${sourceTableName}`" + // 7. final duplicate count + val finalDupCountTableName = "__finalDupCount" + val finalDupCountSql = { + s""" + |SELECT ${aliasesClause}, `${InternalColumns.distinct}`, + |CASE WHEN `${InternalColumns.distinct}` THEN `${dupColName}` + |ELSE (`${dupColName}` + 1) END AS `${dupColName}`, + |CASE WHEN `${InternalColumns.distinct}` THEN `${dupColName}` + |ELSE (`${dupColName}` + `${moreDupColName}`) END AS `${accuDupColName}` + |FROM `${groupTableName}` + """.stripMargin } - val distStep = SparkSqlStep(distTableName, distSql, exportDetails) - val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, ct) + val finalDupCountStep = SparkSqlStep(finalDupCountTableName, finalDupCountSql, emptyMap, true) - RulePlan(sourceStep :: distStep :: Nil, distMetricExport :: Nil) + val rulePlan = RulePlan(olderAliasStep :: joinedStep :: groupStep :: finalDupCountStep :: Nil, Nil) + (rulePlan, finalDupCountTableName) + } + case _ => { + (emptyRulePlan, selfGroupTableName) } } - totalRulePlan.merge(distRulePlan) + // 8. distinct metric + val distTableName = "__distMetric" + val distColName = details.getStringOrKey(DistinctnessKeys._distinct) + val distSql = { + s""" + |SELECT COUNT(*) AS `${distColName}` + |FROM `${dupCountTableName}` WHERE `${InternalColumns.distinct}` + """.stripMargin + } + val distStep = SparkSqlStep(distTableName, distSql, emptyMap) + val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, beginTime, mode) + + val distMetricRulePlan = RulePlan(distStep :: Nil, distMetricExport :: Nil) + + val duplicationArrayName = details.getString(UniquenessKeys._duplicationArray, "") + val dupRulePlan = if (duplicationArrayName.nonEmpty) { + // 9. duplicate record + val dupRecordTableName = "__dupRecords" + val dupRecordSelClause = procType match { + case StreamingProcessType if (withOlderTable) => s"${aliasesClause}, `${dupColName}`, `${accuDupColName}`" + case _ => s"${aliasesClause}, `${dupColName}`" + } + val dupRecordSql = { + s""" + |SELECT ${dupRecordSelClause} + |FROM `${dupCountTableName}` WHERE `${dupColName}` > 0 + """.stripMargin + } + val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) + val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, beginTime, mode) + + // 10. duplicate metric + val dupMetricTableName = "__dupMetric" + val numColName = details.getStringOrKey(DistinctnessKeys._num) + val dupMetricSql = { + s""" + |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` + |FROM `${dupRecordTableName}` GROUP BY `${dupColName}` + """.stripMargin + } + val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) + val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, beginTime, mode) + + RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) + } else emptyRulePlan + + selfDistRulePlan.merge(distRulePlan).merge(distMetricRulePlan).merge(dupRulePlan) } } -// private def distinctRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, -// param: Map[String, Any], processType: ProcessType, -// dsTimeRanges: Map[String, TimeRange] -// ): RulePlan = { -// val details = getDetails(param) -// val sourceName = details.getString(DistinctnessKeys._source, dataSourceNames.head) -// val targetName = details.getString(DistinctnessKeys._target, dataSourceNames.tail.head) -// val analyzer = DistinctnessAnalyzer(expr.asInstanceOf[DistinctnessClause], sourceName, targetName) -// -// val ct = timeInfo.calcTime -// -// val sourceTimeRangeOpt = dsTimeRanges.get(sourceName) -// -// if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { -// println(s"[${ct}] data source ${sourceName} not exists") -// emptyRulePlan -// } else if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { -// println(s"[${ct}] data source ${targetName} not exists") -// emptyRulePlan -// } else { -// val selClause = analyzer.selectionPairs.map { pair => -// val (expr, alias) = pair -// s"${expr.desc} AS `${alias}`" -// }.mkString(", ") -// val aliases = analyzer.selectionPairs.map(_._2) -// -// val exportDetails = emptyMap.addIfNotExist(ProcessDetailsKeys._baselineDataSource, sourceName) -// -// // 1. source distinct mapping -// val sourceTableName = "__source" -// val sourceSql = s"SELECT DISTINCT ${selClause} FROM ${sourceName}" -// val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) -// -// // 2. target mapping -// val targetTableName = "__target" -// val targetSql = sourceRangeOpt match { -// case Some((min, max)) => { -// s"SELECT ${selClause} FROM ${targetName} WHERE `${InternalColumns.tmst}` < ${min}" -//// s"SELECT ${selClause} FROM ${targetName}" -// } -// case _ => { -// s"SELECT ${selClause} FROM ${targetName}" -// } -// } -// val targetStep = SparkSqlStep(targetTableName, targetSql, emptyMap) -// -// // 3. joined -// val joinedTableName = "__joined" -//// val joinedSelClause = aliases.map { alias => -//// s"`${sourceTableName}`.`${alias}` AS `${alias}`" -//// }.mkString(", ") -// val joinedSelClause = s"`${sourceTableName}`.*" -// val onClause = aliases.map { alias => -// s"coalesce(`${sourceTableName}`.`${alias}`, '') = coalesce(`${targetTableName}`.`${alias}`, '')" -// }.mkString(" AND ") -// val sourceIsNull = aliases.map { alias => -// s"`${sourceTableName}`.`${alias}` IS NULL" -// }.mkString(" AND ") -// val targetIsNull = aliases.map { alias => -// s"`${targetTableName}`.`${alias}` IS NULL" -// }.mkString(" AND ") -// val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" -// val joinedSql = { -// s""" -// |SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` -// |ON ${onClause} WHERE ${whereClause} -// """.stripMargin -// } -// val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) -// -// // 4. group -//// val groupTableName = "__group" -//// val groupSelClause = aliases.map { alias => -//// s"`${alias}`" -//// }.mkString(", ") -//// val dupColName = details.getStringOrKey(DistinctnessKeys._dup) -//// val groupSql = { -//// s"SELECT ${groupSelClause}, COUNT(*) AS `${dupColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" -//// } -//// val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap, true) -// -// // 5. total metric -// val totalTableName = "__totalMetric" -// val totalColName = details.getStringOrKey(DistinctnessKeys._total) -// val totalSql = { -// s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" -// } -// val totalStep = SparkSqlStep(totalTableName, totalSql, exportDetails) -// val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) -// val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, ct) -// -// // 6. distinct metric -// val distTableName = "__distMetric" -// val distColName = details.getStringOrKey(DistinctnessKeys._distinct) -// val distSql = { -//// s"SELECT COUNT(*) AS `${distColName}` FROM `${groupTableName}`" -// s"SELECT COUNT(*) AS `${distColName}` FROM `${joinedTableName}`" -// } -// val distStep = SparkSqlStep(distTableName, distSql, exportDetails) -// val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) -// val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, ct) -// -// val distinctSteps = sourceStep :: targetStep :: joinedStep :: -// totalStep :: distStep :: Nil -// val distinctExports = totalMetricExport :: distMetricExport :: Nil -// val distinctRulePlan = RulePlan(distinctSteps, distinctExports) -// -// distinctRulePlan -// -//// val duplicationArrayName = details.getString(UniquenessKeys._duplicationArray, "") -//// val dupRulePlan = if (duplicationArrayName.nonEmpty) { -//// // 7. duplicate record -//// val dupRecordTableName = "__dupRecords" -//// val dupRecordSql = { -//// s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" -//// } -//// val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, exportDetails, true) -//// val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) -//// val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, ct) -//// -//// // 8. duplicate metric -//// val dupMetricTableName = "__dupMetric" -//// val numColName = details.getStringOrKey(UniquenessKeys._num) -//// val dupMetricSql = { -//// s""" -//// |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` -//// |FROM `${dupRecordTableName}` GROUP BY ${dupColName} -//// """.stripMargin -//// } -//// val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, exportDetails) -//// val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) -//// val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct) -//// -//// RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) -//// } else emptyRulePlan -//// -//// distinctRulePlan.merge(dupRulePlan) -// } -// } - private def timelinessRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], processType: ProcessType + param: Map[String, Any], procType: ProcessType ): RulePlan = { val details = getDetails(param) val timelinessClause = expr.asInstanceOf[TimelinessClause] val sourceName = details.getString(TimelinessKeys._source, dataSourceNames.head) + val mode = ExportMode.defaultMode(procType) + val ct = timeInfo.calcTime if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { @@ -730,7 +666,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 3. timeliness metric val metricTableName = name - val metricSql = processType match { + val metricSql = procType match { case BatchProcessType => { s""" |SELECT CAST(AVG(`${latencyColName}`) AS BIGINT) AS `avg`, @@ -752,7 +688,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val metricStep = SparkSqlStep(metricTableName, metricSql, emptyMap) val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val metricExports = genMetricExport(metricParam, name, metricTableName, ct) :: Nil + val metricExports = genMetricExport(metricParam, name, metricTableName, ct, mode) :: Nil // current timeliness plan val timeSteps = inTimeStep :: latencyStep :: metricStep :: Nil @@ -768,7 +704,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } val recordStep = SparkSqlStep(recordTableName, recordSql, emptyMap) val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val recordExports = genRecordExport(recordParam, recordTableName, recordTableName, ct) :: Nil + val recordExports = genRecordExport(recordParam, recordTableName, recordTableName, ct, mode) :: Nil RulePlan(recordStep :: Nil, recordExports) } case _ => emptyRulePlan diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala index bd344b139..fc6a246f0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala @@ -27,5 +27,7 @@ object InternalColumns { val beginTs = "__begin_ts" val endTs = "__end_ts" - val columns = List[String](tmst, metric, record, empty, beginTs, endTs) + val distinct = "__distinct" + + val columns = List[String](tmst, metric, record, empty, beginTs, endTs, distinct) } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index b1f90fd73..25025ac14 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -25,7 +25,7 @@ import org.apache.griffin.measure.cache.tmst.TempName import scala.collection.mutable.{Set => MutableSet} import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.process.{ExportMode, ProcessType} import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan.{TimeInfo, _} @@ -120,31 +120,36 @@ trait RuleAdaptor extends Loggable with Serializable { procType: ProcessType, dsTimeRanges: Map[String, TimeRange]): RulePlan protected def genRuleExports(param: Map[String, Any], defName: String, - stepName: String, defTimestamp: Long + stepName: String, defTimestamp: Long, + mode: ExportMode ): Seq[RuleExport] = { val metricOpt = RuleParamKeys.getMetricOpt(param) - val metricExportSeq = metricOpt.map(genMetricExport(_, defName, stepName, defTimestamp)).toSeq + val metricExportSeq = metricOpt.map(genMetricExport(_, defName, stepName, defTimestamp, mode)).toSeq val recordOpt = RuleParamKeys.getRecordOpt(param) - val recordExportSeq = recordOpt.map(genRecordExport(_, defName, stepName, defTimestamp)).toSeq + val recordExportSeq = recordOpt.map(genRecordExport(_, defName, stepName, defTimestamp, mode)).toSeq metricExportSeq ++ recordExportSeq } - protected def genMetricExport(param: Map[String, Any], name: String, stepName: String, defTimestamp: Long + protected def genMetricExport(param: Map[String, Any], name: String, stepName: String, + defTimestamp: Long, mode: ExportMode ): MetricExport = { MetricExport( ExportParamKeys.getName(param, name), stepName, ExportParamKeys.getCollectType(param), - defTimestamp + defTimestamp, + mode ) } - protected def genRecordExport(param: Map[String, Any], name: String, stepName: String, defTimestamp: Long + protected def genRecordExport(param: Map[String, Any], name: String, stepName: String, + defTimestamp: Long, mode: ExportMode ): RecordExport = { RecordExport( ExportParamKeys.getName(param, name), stepName, ExportParamKeys.getDataSourceCacheOpt(param), ExportParamKeys.getOriginDFOpt(param), - defTimestamp + defTimestamp, + mode ) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index b835a77e2..1fce03b0c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -19,7 +19,7 @@ under the License. package org.apache.griffin.measure.rule.adaptor import org.apache.griffin.measure.cache.tmst.TempName -import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.process.{ExportMode, ProcessType} import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.rule.dsl.MetricPersistType import org.apache.griffin.measure.rule.plan.{TimeInfo, _} @@ -44,7 +44,8 @@ case class SparkSqlAdaptor() extends RuleAdaptor { procType: ProcessType, dsTimeRanges: Map[String, TimeRange]): RulePlan = { val name = getRuleName(param) val step = SparkSqlStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) - RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime)) + val mode = ExportMode.defaultMode(procType) + RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime, mode)) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala index 1e206f00d..ac1415338 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala @@ -18,14 +18,17 @@ under the License. */ package org.apache.griffin.measure.rule.plan +import org.apache.griffin.measure.process.ExportMode import org.apache.griffin.measure.rule.dsl._ case class MetricExport(name: String, stepName: String, collectType: CollectType, - defTimestamp: Long + defTimestamp: Long, + mode: ExportMode ) extends RuleExport { - def setDefTimestamp(t: Long): RuleExport = MetricExport(name, stepName, collectType, t) + def setDefTimestamp(t: Long): RuleExport = + MetricExport(name, stepName, collectType, t, mode) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala index c2d9b3dd7..6afc83652 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala @@ -18,13 +18,17 @@ under the License. */ package org.apache.griffin.measure.rule.plan +import org.apache.griffin.measure.process.ExportMode + case class RecordExport(name: String, stepName: String, dataSourceCacheOpt: Option[String], originDFOpt: Option[String], - defTimestamp: Long + defTimestamp: Long, + mode: ExportMode ) extends RuleExport { - def setDefTimestamp(t: Long): RuleExport = RecordExport(name, stepName, dataSourceCacheOpt, originDFOpt, t) + def setDefTimestamp(t: Long): RuleExport = + RecordExport(name, stepName, dataSourceCacheOpt, originDFOpt, t, mode) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala index 20825373a..84467c2c4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala @@ -18,6 +18,8 @@ under the License. */ package org.apache.griffin.measure.rule.plan +import org.apache.griffin.measure.process.ExportMode + trait RuleExport extends Serializable { val name: String // export name @@ -26,6 +28,8 @@ trait RuleExport extends Serializable { val defTimestamp: Long // the default timestamp if tmst not in value + val mode: ExportMode // export mode + def setDefTimestamp(t: Long): RuleExport } diff --git a/measure/src/test/resources/_distinctness-batch-griffindsl1.json b/measure/src/test/resources/_distinctness-batch-griffindsl1.json new file mode 100644 index 000000000..f8aa077f9 --- /dev/null +++ b/measure/src/test/resources/_distinctness-batch-griffindsl1.json @@ -0,0 +1,73 @@ +{ + "name": "dist_batch", + + "process.type": "batch", + + "timestamp": 123456, + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/dupdata.avro" + }, + "pre.proc": [ + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select DISTINCT name, age from ${this}" + } + ] + } + ] + }, + { + "name": "target", + "baseline": true, + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/dupdata.avro" + }, + "pre.proc": [ + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select DISTINCT name, age from ${this}" + } + ] + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "distinct", + "name": "dist", + "rule": "name", + "details": { + "source": "source", + "target": "target", + "total": "total", + "distinct": "distinct", + "dup": "dup", + "num": "num", + "duplication.array": "dup" + }, + "metric": { + "name": "distinct" + } + } + ] + } +} \ No newline at end of file diff --git a/measure/src/test/resources/_distinctness-streaming-griffindsl.json b/measure/src/test/resources/_distinctness-streaming-griffindsl.json index 0724f1cb0..c36e7ba20 100644 --- a/measure/src/test/resources/_distinctness-streaming-griffindsl.json +++ b/measure/src/test/resources/_distinctness-streaming-griffindsl.json @@ -70,7 +70,11 @@ "source": "new", "target": "old", "total": "total", - "distinct": "distinct" + "distinct": "distinct", + "dup": "dup", + "accu_dup": "accu_dup", + "num": "num", + "duplication.array": "dup" }, "metric": { "name": "distinct" diff --git a/measure/src/test/resources/dupdata.avro b/measure/src/test/resources/dupdata.avro new file mode 100644 index 0000000000000000000000000000000000000000..f6bd312273373680efca121a6e960264850181a3 GIT binary patch literal 304 zcmeZI%3@>@ODrqO*DFrWNX<<=##F6TQdy9yWTjM;nw(#hqNJmgmzWFUr=;fQ19@qg zsW~adN>BtUTs|>96{rttYEC|?WJxh@xzxOrcue`&S`n~= zlk-zjlR5HAb8;9&TF#zXxaqw4jxW-6@d=%4IeHk`GLtK%8m1mPFe~D~zLP+bqcXoZ UL#1K$L?FAN?KqGmLJ7LT0E@YHMF0Q* literal 0 HcmV?d00001 diff --git a/measure/src/test/resources/empty.avro b/measure/src/test/resources/empty.avro new file mode 100644 index 0000000000000000000000000000000000000000..1ac3a729139b05599f173e62265593b9dc95388f GIT binary patch literal 215 zcmeZI%3@>@ODrqO*DFrWNX<<=##F6TQdy9yWTjM;nw(#hqNJmgmzWFUr=;fQ19@qg zsW~adN>BtUTs|>96{rttYEC|?WJxh@xzxOrcue`&S`n~= glk-zjlR5HAb8;Azq~mz6*)H^0^oF50SnJqc0AlM$M*si- literal 0 HcmV?d00001 From 0bc0d35cebf7fc4daae71a06ab267dedcbe19cb7 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 16 Jan 2018 16:29:52 +0800 Subject: [PATCH 112/177] dist with accumulate or not --- .../griffin/measure/rule/adaptor/GlobalKeys.scala | 3 +++ .../measure/rule/adaptor/GriffinDslAdaptor.scala | 10 +++++----- 2 files changed, 8 insertions(+), 5 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala index 9ef62525f..f59270939 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala @@ -38,6 +38,7 @@ object UniquenessKeys { val _total = "total" val _dup = "dup" val _num = "num" + val _duplicationArray = "duplication.array" } @@ -49,7 +50,9 @@ object DistinctnessKeys { val _dup = "dup" val _accu_dup = "accu_dup" val _num = "num" + val _duplicationArray = "duplication.array" + val _withAccumulate = "with.accumulate" } object TimelinessKeys { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 39c464d8a..ad4a1953f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -449,11 +449,11 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { println(s"[${ct}] data source ${sourceName} not exists") emptyRulePlan - } else if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { - println(s"[${ct}] data source ${targetName} not exists") - emptyRulePlan } else { - val withOlderTable = TableRegisters.existRunTempTable(timeInfo.key, targetName) + val withOlderTable = { + details.getBoolean(DistinctnessKeys._withAccumulate, true) && + TableRegisters.existRunTempTable(timeInfo.key, targetName) + } val selClause = analyzer.selectionPairs.map { pair => val (expr, alias) = pair @@ -488,7 +488,7 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], |SELECT ${aliasesClause}, (COUNT(*) - 1) AS `${dupColName}`, |TRUE AS `${InternalColumns.distinct}` |FROM `${sourceAliasTableName}` GROUP BY ${aliasesClause} - """.stripMargin + """.stripMargin } val selfGroupStep = SparkSqlStep(selfGroupTableName, selfGroupSql, emptyMap, true) From 2d283e49fcfbff7c911264de24bd7d4092f1344f Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 16 Jan 2018 16:44:31 +0800 Subject: [PATCH 113/177] fix bug of streaming records persist in simple mode --- .../griffin/measure/process/BatchDqProcess.scala | 4 ++-- .../measure/process/StreamingDqThread.scala | 4 ++-- .../measure/process/engine/DqEngine.scala | 2 +- .../measure/process/engine/DqEngines.scala | 16 ++++++++-------- .../measure/process/engine/SparkDqEngine.scala | 3 +-- 5 files changed, 14 insertions(+), 15 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 950cd273e..44cca9a7f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -116,9 +116,9 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { dqEngines.runRuleSteps(calcTimeInfo, rulePlan.ruleSteps) // persist results - dqEngines.persistAllMetrics(calcTimeInfo, rulePlan.metricExports, persistFactory) + dqEngines.persistAllMetrics(rulePlan.metricExports, persistFactory) - dqEngines.persistAllRecords(calcTimeInfo, rulePlan.recordExports, persistFactory, dataSources) + dqEngines.persistAllRecords(rulePlan.recordExports, persistFactory, dataSources) // dfs.foreach(_._2.cache()) // // dqEngines.persistAllRecords(dfs, persistFactory) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index fcf9528aa..c3c4f09d4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -85,7 +85,7 @@ case class StreamingDqThread(sqlContext: SQLContext, // persist results // val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) - dqEngines.persistAllMetrics(calcTimeInfo, optRulePlan.metricExports, persistFactory) + dqEngines.persistAllMetrics(optRulePlan.metricExports, persistFactory) // println(s"--- timeGroups: ${timeGroups}") val rt = new Date().getTime @@ -93,7 +93,7 @@ case class StreamingDqThread(sqlContext: SQLContext, appPersist.log(rt, persistResultTimeStr) // persist records - dqEngines.persistAllRecords(calcTimeInfo, optRulePlan.recordExports, persistFactory, dataSources) + dqEngines.persistAllRecords(optRulePlan.recordExports, persistFactory, dataSources) val et = new Date().getTime val persistTimeStr = s"persist records using time: ${et - rt} ms" diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index 00c6ef4de..ee3a65eb6 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -34,7 +34,7 @@ trait DqEngine extends Loggable with Serializable { protected def collectable(): Boolean = false - def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport): Map[Long, Map[String, Any]] + def collectMetrics(metricExport: MetricExport): Map[Long, Map[String, Any]] // def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] // diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 216392557..8f1776466 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -54,11 +54,11 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } - def persistAllMetrics(timeInfo: TimeInfo, metricExports: Seq[MetricExport], persistFactory: PersistFactory + def persistAllMetrics(metricExports: Seq[MetricExport], persistFactory: PersistFactory ): Unit = { val allMetrics: Map[Long, Map[String, Any]] = { metricExports.foldLeft(Map[Long, Map[String, Any]]()) { (ret, metricExport) => - val metrics = collectMetrics(timeInfo, metricExport) + val metrics = collectMetrics(metricExport) metrics.foldLeft(ret) { (total, pair) => val (k, v) = pair total.get(k) match { @@ -112,7 +112,7 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { Await.result(pro.future, Duration.Inf) } - def persistAllRecords(timeInfo: TimeInfo, recordExports: Seq[RecordExport], + def persistAllRecords(recordExports: Seq[RecordExport], persistFactory: PersistFactory, dataSources: Seq[DataSource] ): Unit = { // method 1: multi thread persist multi data frame @@ -127,7 +127,7 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { recordExport.mode match { case SimpleMode => { collectBatchRecords(recordExport).foreach { rdd => - persistCollectedBatchRecords(timeInfo, recordExport, rdd, persistFactory) + persistCollectedBatchRecords(recordExport, rdd, persistFactory) } } case TimestampMode => { @@ -154,10 +154,10 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { ret } - private def persistCollectedBatchRecords(timeInfo: TimeInfo, recordExport: RecordExport, + private def persistCollectedBatchRecords(recordExport: RecordExport, records: RDD[String], persistFactory: PersistFactory ): Unit = { - val persist = persistFactory.getPersists(timeInfo.calcTime) + val persist = persistFactory.getPersists(recordExport.defTimestamp) persist.persistRecords(records, recordExport.name) } @@ -282,10 +282,10 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { // engine.collectUpdateCacheDatas(ruleStep, timeGroups) // }.headOption // } - def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport + def collectMetrics(metricExport: MetricExport ): Map[Long, Map[String, Any]] = { val ret = engines.foldLeft(Map[Long, Map[String, Any]]()) { (ret, engine) => - if (ret.nonEmpty) ret else engine.collectMetrics(timeInfo, metricExport) + if (ret.nonEmpty) ret else engine.collectMetrics(metricExport) } ret } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 3bcecdbc4..736ce566b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -68,8 +68,7 @@ trait SparkDqEngine extends DqEngine { } } - def collectMetrics(timeInfo: TimeInfo, metricExport: MetricExport - ): Map[Long, Map[String, Any]] = { + def collectMetrics(metricExport: MetricExport): Map[Long, Map[String, Any]] = { if (collectable) { val MetricExport(name, stepName, collectType, defTmst, mode) = metricExport try { From 4d28fb10b24a42bf1fd44bda5a26e130ec2dad7f Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 16 Jan 2018 17:26:18 +0800 Subject: [PATCH 114/177] update measure config guid --- .../measure/measure-configuration-guide.md | 27 ++++++++++++++++--- 1 file changed, 23 insertions(+), 4 deletions(-) diff --git a/griffin-doc/measure/measure-configuration-guide.md b/griffin-doc/measure/measure-configuration-guide.md index 5ac7e5f06..0db3643f4 100644 --- a/griffin-doc/measure/measure-configuration-guide.md +++ b/griffin-doc/measure/measure-configuration-guide.md @@ -26,12 +26,18 @@ Griffin measure module needs two configuration files to define the parameters of "spark": { "log.level": "WARN", "checkpoint.dir": "hdfs:///griffin/streaming/cp", - "batch.interval": "5s", - "process.interval": "30s", + "batch.interval": "1m", + "process.interval": "5m", "config": { + "spark.default.parallelism": 5, "spark.task.maxFailures": 5, "spark.streaming.kafkaMaxRatePerPartition": 1000, - "spark.streaming.concurrentJobs": 4 + "spark.streaming.concurrentJobs": 4, + "spark.yarn.maxAppAttempts": 5, + "spark.yarn.am.attemptFailuresValidityInterval": "1h", + "spark.yarn.max.executor.failures": 120, + "spark.yarn.executor.failuresValidityInterval": "1h", + "spark.hadoop.fs.hdfs.impl.disable.cache": true } }, @@ -45,7 +51,6 @@ Griffin measure module needs two configuration files to define the parameters of "type": "hdfs", "config": { "path": "hdfs:///griffin/streaming/persist", - "max.persist.lines": 10000, "max.lines.per.file": 10000 } } @@ -89,6 +94,10 @@ Above lists environment parameters. + http persist * api: api to submit persist metrics. * method: http method, "post" default. + + mongo persist + * url: url of mongo db. + * database: database name. + * collection: collection name. ### Info Cache - **type**: Information cache type, "zk" for zookeeper cache. @@ -212,6 +221,16 @@ Above lists DQ job configure parameters. * dup: the duplicate count name in metric, optional. * num: the duplicate number name in metric, optional. * duplication.array: optional, if set as a non-empty string, the duplication metric will be computed, and the group metric name is this string. + + distinctness dq type detail configuration + * source: name of data source to measure uniqueness. + * target: name of data source to compare with. It is always the same as source, or more than source. + * distinct: the unique count name in metric, optional. + * total: the total count name in metric, optional. + * dup: the duplicate count name in metric, optional. + * accu_dup: the accumulate duplicate count name in metric, optional, only in streaming mode and "with.accumulate" enabled. + * num: the duplicate number name in metric, optional. + * duplication.array: optional, if set as a non-empty string, the duplication metric will be computed, and the group metric name is this string. + * with.accumulate: optional, default is true, if set as false, in streaming mode, the data set will not compare with old data to check distinctness. + timeliness dq type detail configuration * source: name of data source to measure timeliness. * latency: the latency column name in metric, optional. From 8e715c32fddc282ddf7012692c14b4c870e7e271 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 17 Jan 2018 11:20:46 +0800 Subject: [PATCH 115/177] zk info cache clear info just delete the info node and final.info node --- .../org/apache/griffin/measure/cache/info/ZKInfoCache.scala | 2 ++ 1 file changed, 2 insertions(+) diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala index ee99099b7..deeb5dc0c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala @@ -117,6 +117,8 @@ case class ZKInfoCache(config: Map[String, Any], metricName: String) extends Inf def clearInfo(): Unit = { // delete("/") + deleteInfo(TimeInfoCache.finalCacheInfoPath :: Nil) + deleteInfo(TimeInfoCache.infoPath :: Nil)zi println("clear info") } From 42659e7fa4dcc2c644251094831e66236bbc613e Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 17 Jan 2018 11:21:31 +0800 Subject: [PATCH 116/177] fix --- .../org/apache/griffin/measure/cache/info/ZKInfoCache.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala index deeb5dc0c..3789a05ed 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/info/ZKInfoCache.scala @@ -118,7 +118,7 @@ case class ZKInfoCache(config: Map[String, Any], metricName: String) extends Inf def clearInfo(): Unit = { // delete("/") deleteInfo(TimeInfoCache.finalCacheInfoPath :: Nil) - deleteInfo(TimeInfoCache.infoPath :: Nil)zi + deleteInfo(TimeInfoCache.infoPath :: Nil) println("clear info") } From 2982556d910aa253c232f60514bcc45aea94a459 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 23 Jan 2018 18:25:16 +0800 Subject: [PATCH 117/177] freshness finish --- .../measure/rule/adaptor/GlobalKeys.scala | 5 + .../rule/adaptor/GriffinDslAdaptor.scala | 110 ++++++++++++++++-- .../griffin/measure/utils/TimeUtil.scala | 67 ++++++++--- .../_timeliness-batch-griffindsl.json | 5 +- .../_timeliness-streaming-griffindsl.json | 11 +- .../griffin/measure/utils/TimeUtilTest.scala | 38 ++++++ 6 files changed, 206 insertions(+), 30 deletions(-) create mode 100644 measure/src/test/scala/org/apache/griffin/measure/utils/TimeUtilTest.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala index f59270939..bd27b1937 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala @@ -58,7 +58,12 @@ object DistinctnessKeys { object TimelinessKeys { val _source = "source" val _latency = "latency" + val _total = "total" + val _avg = "avg" val _threshold = "threshold" + val _step = "step" + val _count = "count" + val _stepSize = "step.size" } object GlobalKeys { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index ad4a1953f..5655a133a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -666,21 +666,21 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // 3. timeliness metric val metricTableName = name + val totalColName = details.getStringOrKey(TimelinessKeys._total) + val avgColName = details.getStringOrKey(TimelinessKeys._avg) val metricSql = procType match { case BatchProcessType => { s""" - |SELECT CAST(AVG(`${latencyColName}`) AS BIGINT) AS `avg`, - |MAX(`${latencyColName}`) AS `max`, - |MIN(`${latencyColName}`) AS `min` + |SELECT COUNT(*) AS `${totalColName}`, + |CAST(AVG(`${latencyColName}`) AS BIGINT) AS `${avgColName}` |FROM `${latencyTableName}` """.stripMargin } case StreamingProcessType => { s""" |SELECT `${InternalColumns.tmst}`, - |CAST(AVG(`${latencyColName}`) AS BIGINT) AS `avg`, - |MAX(`${latencyColName}`) AS `max`, - |MIN(`${latencyColName}`) AS `min` + |COUNT(*) AS `${totalColName}`, + |CAST(AVG(`${latencyColName}`) AS BIGINT) AS `${avgColName}` |FROM `${latencyTableName}` |GROUP BY `${InternalColumns.tmst}` """.stripMargin @@ -710,9 +710,105 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], case _ => emptyRulePlan } + // 5. ranges +// val rangePlan = details.get(TimelinessKeys._rangeSplit) match { +// case Some(arr: Seq[String]) => { +// val ranges = splitTimeRanges(arr) +// if (ranges.size > 0) { +// try { +// // 5.1. range +// val rangeTableName = "__range" +// val rangeColName = details.getStringOrKey(TimelinessKeys._range) +// val caseClause = { +// val whenClause = ranges.map { range => +// s"WHEN `${latencyColName}` < ${range._1} THEN '<${range._2}'" +// }.mkString("\n") +// s"CASE ${whenClause} ELSE '>=${ranges.last._2}' END AS `${rangeColName}`" +// } +// val rangeSql = { +// s"SELECT *, ${caseClause} FROM `${latencyTableName}`" +// } +// val rangeStep = SparkSqlStep(rangeTableName, rangeSql, emptyMap) +// +// // 5.2. range metric +// val rangeMetricTableName = "__rangeMetric" +// val countColName = details.getStringOrKey(TimelinessKeys._count) +// val rangeMetricSql = procType match { +// case BatchProcessType => { +// s""" +// |SELECT `${rangeColName}`, COUNT(*) AS `${countColName}` +// |FROM `${rangeTableName}` GROUP BY `${rangeColName}` +// """.stripMargin +// } +// case StreamingProcessType => { +// s""" +// |SELECT `${InternalColumns.tmst}`, `${rangeColName}`, COUNT(*) AS `${countColName}` +// |FROM `${rangeTableName}` GROUP BY `${InternalColumns.tmst}`, `${rangeColName}` +// """.stripMargin +// } +// } +// val rangeMetricStep = SparkSqlStep(rangeMetricTableName, rangeMetricSql, emptyMap) +// val rangeMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) +// val rangeMetricExports = genMetricExport(rangeMetricParam, rangeColName, rangeMetricTableName, ct, mode) :: Nil +// +// RulePlan(rangeStep :: rangeMetricStep :: Nil, rangeMetricExports) +// } catch { +// case _: Throwable => emptyRulePlan +// } +// } else emptyRulePlan +// } +// case _ => emptyRulePlan +// } + // return timeliness plan - timePlan.merge(recordPlan) + + // 5. ranges + val rangePlan = TimeUtil.milliseconds(details.getString(TimelinessKeys._stepSize, "")) match { + case Some(stepSize) => { + // 5.1 range + val rangeTableName = "__range" + val stepColName = details.getStringOrKey(TimelinessKeys._step) + val rangeSql = { + s""" + |SELECT *, CAST((`${latencyColName}` / ${stepSize}) AS BIGINT) AS `${stepColName}` + |FROM `${latencyTableName}` + """.stripMargin + } + val rangeStep = SparkSqlStep(rangeTableName, rangeSql, emptyMap) + + // 5.2 range metric + val rangeMetricTableName = "__rangeMetric" + val countColName = details.getStringOrKey(TimelinessKeys._count) + val rangeMetricSql = procType match { + case BatchProcessType => { + s""" + |SELECT `${stepColName}`, COUNT(*) AS `${countColName}` + |FROM `${rangeTableName}` GROUP BY `${stepColName}` + """.stripMargin + } + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, `${stepColName}`, COUNT(*) AS `${countColName}` + |FROM `${rangeTableName}` GROUP BY `${InternalColumns.tmst}`, `${stepColName}` + """.stripMargin + } + } + val rangeMetricStep = SparkSqlStep(rangeMetricTableName, rangeMetricSql, emptyMap) + val rangeMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val rangeMetricExports = genMetricExport(rangeMetricParam, stepColName, rangeMetricTableName, ct, mode) :: Nil + + RulePlan(rangeStep :: rangeMetricStep :: Nil, rangeMetricExports) + } + case _ => emptyRulePlan + } + + timePlan.merge(recordPlan).merge(rangePlan) } } + private def splitTimeRanges(tstrs: Seq[String]): List[(Long, String)] = { + val ts = tstrs.flatMap(TimeUtil.milliseconds(_)).sorted.toList + ts.map { t => (t, TimeUtil.time2String(t)) } + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala index 42a140f22..9b4d58e7d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/TimeUtil.scala @@ -20,11 +20,30 @@ package org.apache.griffin.measure.utils import org.apache.griffin.measure.log.Loggable +import scala.util.matching.Regex import scala.util.{Failure, Success, Try} object TimeUtil extends Loggable { - final val TimeRegex = """^([+\-]?\d+)(ms|s|m|h|d)$""".r + private object Units { + case class TimeUnit(name: String, shortName: String, ut: Long, regex: Regex) { + def toMs(t: Long) = t * ut + def fromMs(ms: Long) = ms / ut + def fitUnit(ms: Long) = (ms % ut == 0) + } + + val dayUnit = TimeUnit("day", "d", 24 * 60 * 60 * 1000, """^(?i)d(?:ay)?$""".r) + val hourUnit = TimeUnit("hour", "h", 60 * 60 * 1000, """^(?i)h(?:our|r)?$""".r) + val minUnit = TimeUnit("minute", "m", 60 * 1000, """^(?i)m(?:in(?:ute)?)?$""".r) + val secUnit = TimeUnit("second", "s", 1000, """^(?i)s(?:ec(?:ond)?)?$""".r) + val msUnit = TimeUnit("millisecond", "ms", 1, """^(?i)m(?:illi)?s(?:ec(?:ond)?)?$""".r) + + val timeUnits = dayUnit :: hourUnit :: minUnit :: secUnit :: msUnit :: Nil + } + import Units._ + +// final val TimeRegex = """^([+\-]?\d+)(ms|s|m|h|d)$""".r + final val TimeRegex = """^([+\-]?\d+)([a-zA-Z]+)$""".r final val PureTimeRegex = """^([+\-]?\d+)$""".r def milliseconds(timeString: String): Option[Long] = { @@ -34,17 +53,17 @@ object TimeUtil extends Loggable { case TimeRegex(time, unit) => { val t = time.toLong unit match { - case "d" => t * 24 * 60 * 60 * 1000 - case "h" => t * 60 * 60 * 1000 - case "m" => t * 60 * 1000 - case "s" => t * 1000 - case "ms" => t + case dayUnit.regex() => dayUnit.toMs(t) + case hourUnit.regex() => hourUnit.toMs(t) + case minUnit.regex() => minUnit.toMs(t) + case secUnit.regex() => secUnit.toMs(t) + case msUnit.regex() => msUnit.toMs(t) case _ => throw new Exception(s"${timeString} is invalid time format") } } case PureTimeRegex(time) => { val t = time.toLong - t + msUnit.toMs(t) } case _ => throw new Exception(s"${timeString} is invalid time format") } @@ -58,24 +77,34 @@ object TimeUtil extends Loggable { def timeToUnit(ms: Long, unit: String): Long = { unit match { - case "ms" => ms - case "sec" => ms / 1000 - case "min" => ms / (60 * 1000) - case "hour" => ms / (60 * 60 * 1000) - case "day" => ms / (24 * 60 * 60 * 1000) - case _ => ms / (60 * 1000) + case dayUnit.regex() => dayUnit.fromMs(ms) + case hourUnit.regex() => hourUnit.fromMs(ms) + case minUnit.regex() => minUnit.fromMs(ms) + case secUnit.regex() => secUnit.fromMs(ms) + case msUnit.regex() => msUnit.fromMs(ms) + case _ => ms } } def timeFromUnit(t: Long, unit: String): Long = { unit match { - case "ms" => t - case "sec" => t * 1000 - case "min" => t * 60 * 1000 - case "hour" => t * 60 * 60 * 1000 - case "day" => t * 24 * 60 * 60 * 1000 - case _ => t * 60 * 1000 + case dayUnit.regex() => dayUnit.toMs(t) + case hourUnit.regex() => hourUnit.toMs(t) + case minUnit.regex() => minUnit.toMs(t) + case secUnit.regex() => secUnit.toMs(t) + case msUnit.regex() => msUnit.toMs(t) + case _ => t + } + } + + def time2String(t: Long): String = { + val matchedUnitOpt = timeUnits.foldLeft(None: Option[TimeUnit]) { (retOpt, unit) => + if (retOpt.isEmpty && unit.fitUnit(t)) Some(unit) else retOpt } + val unit = matchedUnitOpt.getOrElse(msUnit) + val unitTime = unit.fromMs(t) + val unitStr = unit.shortName + s"${unitTime}${unitStr}" } } diff --git a/measure/src/test/resources/_timeliness-batch-griffindsl.json b/measure/src/test/resources/_timeliness-batch-griffindsl.json index 2af98f179..bd48401b1 100644 --- a/measure/src/test/resources/_timeliness-batch-griffindsl.json +++ b/measure/src/test/resources/_timeliness-batch-griffindsl.json @@ -28,7 +28,10 @@ "details": { "source": "source", "latency": "latency", - "threshold": "3m" + "threshold": "3m", + "step": "step", + "count": "cnt", + "step.size": "2m" }, "metric": { "name": "timeliness" diff --git a/measure/src/test/resources/_timeliness-streaming-griffindsl.json b/measure/src/test/resources/_timeliness-streaming-griffindsl.json index 776c3b54b..fbaf8d4aa 100644 --- a/measure/src/test/resources/_timeliness-streaming-griffindsl.json +++ b/measure/src/test/resources/_timeliness-streaming-griffindsl.json @@ -33,7 +33,7 @@ { "dsl.type": "spark-sql", "name": "${this}", - "rule": "select ts, name, age from ${s1}" + "rule": "select ts, end_ts, name, age from ${s1}" } ] } @@ -54,11 +54,16 @@ "dsl.type": "griffin-dsl", "dq.type": "timeliness", "name": "timeliness", - "rule": "ts", + "rule": "ts, end_ts", "details": { "source": "source", "latency": "latency", - "threshold": "1h" + "total": "total", + "avg": "avg", + "threshold": "1h", + "step": "step", + "count": "cnt", + "step.size": "5m" }, "metric": { "name": "timeliness" diff --git a/measure/src/test/scala/org/apache/griffin/measure/utils/TimeUtilTest.scala b/measure/src/test/scala/org/apache/griffin/measure/utils/TimeUtilTest.scala new file mode 100644 index 000000000..673eca068 --- /dev/null +++ b/measure/src/test/scala/org/apache/griffin/measure/utils/TimeUtilTest.scala @@ -0,0 +1,38 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.utils + +import org.junit.runner.RunWith +import org.scalatest.junit.JUnitRunner +import org.scalatest.{BeforeAndAfter, FunSuite, Matchers} + +@RunWith(classOf[JUnitRunner]) +class TimeUtilTest extends FunSuite with Matchers with BeforeAndAfter { + + test ("milliseconds") { + val ts = "1h" + val res = TimeUtil.milliseconds(ts) + println(res) + + val t = 1200000 + val s = TimeUtil.time2String(t) + println(s) + } + +} From 3ab0b7ca726c5323eecb557d3d92de926385dea5 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 26 Jan 2018 17:26:50 +0800 Subject: [PATCH 118/177] init create data source cache in parquet way --- .../measure/cache/info/TimeInfoCache.scala | 2 + .../streaming/StreamingDataConnector.scala | 4 +- .../measure/data/source/DataSource.scala | 3 +- .../data/source/DataSourceFactory.scala | 3 +- .../source/{ => cache}/DataCacheable.scala | 22 +- .../data/source/cache/DataSourceCache.scala | 295 ++++++++++++++++++ .../OldDataSourceCache.scala} | 14 +- .../source/cache/ParquetDataSourceCache.scala | 27 ++ 8 files changed, 350 insertions(+), 20 deletions(-) rename measure/src/main/scala/org/apache/griffin/measure/data/source/{ => cache}/DataCacheable.scala (77%) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala rename measure/src/main/scala/org/apache/griffin/measure/data/source/{DataSourceCache.scala => cache/OldDataSourceCache.scala} (96%) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala index aefd390a3..efd12b915 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala @@ -26,11 +26,13 @@ object TimeInfoCache extends Loggable with Serializable { private val LastProcTime = "last.proc.time" private val ReadyTime = "ready.time" private val CleanTime = "clean.time" + private val OldCacheIndex = "old.cache.index" def cacheTime(path: String): String = s"${path}/${CacheTime}" def lastProcTime(path: String): String = s"${path}/${LastProcTime}" def readyTime(path: String): String = s"${path}/${ReadyTime}" def cleanTime(path: String): String = s"${path}/${CleanTime}" + def oldCacheIndex(path: String): String = s"${path}/${OldCacheIndex}" val infoPath = "info" diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala index f65b0d287..184a4deba 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala @@ -19,7 +19,7 @@ under the License. package org.apache.griffin.measure.data.connector.streaming import org.apache.griffin.measure.data.connector._ -import org.apache.griffin.measure.data.source.DataSourceCache +import org.apache.griffin.measure.data.source.cache.OldDataSourceCache import org.apache.griffin.measure.process.temp.TimeRange import org.apache.spark.rdd.RDD import org.apache.spark.sql.DataFrame @@ -39,6 +39,6 @@ trait StreamingDataConnector extends DataConnector { def data(ms: Long): (Option[DataFrame], TimeRange) = (None, TimeRange.emptyTimeRange) - var dataSourceCacheOpt: Option[DataSourceCache] = None + var dataSourceCacheOpt: Option[OldDataSourceCache] = None } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index fc8c6465a..37c38ff4d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -22,6 +22,7 @@ import org.apache.griffin.measure.cache.tmst._ import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.data.connector.batch._ import org.apache.griffin.measure.data.connector.streaming._ +import org.apache.griffin.measure.data.source.cache.OldDataSourceCache import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters, TimeRange} import org.apache.griffin.measure.rule.plan.TimeInfo @@ -32,7 +33,7 @@ case class DataSource(sqlContext: SQLContext, name: String, baseline: Boolean, dataConnectors: Seq[DataConnector], - dataSourceCacheOpt: Option[DataSourceCache] + dataSourceCacheOpt: Option[OldDataSourceCache] ) extends Loggable with Serializable { val batchDataConnectors = DataConnectorFactory.filterBatchDataConnectors(dataConnectors) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala index b83e2fb24..9d1e59df2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala @@ -22,6 +22,7 @@ import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.data.connector.batch.BatchDataConnector import org.apache.griffin.measure.data.connector.streaming.StreamingDataConnector import org.apache.griffin.measure.data.connector.{DataConnector, DataConnectorFactory} +import org.apache.griffin.measure.data.source.cache.OldDataSourceCache import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.engine.{DqEngine, DqEngines} import org.apache.spark.sql.SQLContext @@ -65,7 +66,7 @@ object DataSourceFactory extends Loggable { ) = { if (param != null) { try { - Some(DataSourceCache(sqlContext, param, name, index)) + Some(OldDataSourceCache(sqlContext, param, name, index)) } catch { case e: Throwable => { error(s"generate data source cache fails") diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataCacheable.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataCacheable.scala similarity index 77% rename from measure/src/main/scala/org/apache/griffin/measure/data/source/DataCacheable.scala rename to measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataCacheable.scala index 3c9106a0c..36c556b63 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataCacheable.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataCacheable.scala @@ -16,9 +16,7 @@ KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -package org.apache.griffin.measure.data.source - -import java.util.concurrent.atomic.AtomicLong +package org.apache.griffin.measure.data.source.cache import org.apache.griffin.measure.cache.info.{InfoCacheInstance, TimeInfoCache} @@ -34,6 +32,7 @@ trait DataCacheable { def selfLastProcTime = TimeInfoCache.lastProcTime(selfCacheInfoPath) def selfReadyTime = TimeInfoCache.readyTime(selfCacheInfoPath) def selfCleanTime = TimeInfoCache.cleanTime(selfCacheInfoPath) + def selfOldCacheIndex = TimeInfoCache.oldCacheIndex(selfCacheInfoPath) protected def submitCacheTime(ms: Long): Unit = { val map = Map[String, String]((selfCacheTime -> ms.toString)) @@ -53,6 +52,8 @@ trait DataCacheable { InfoCacheInstance.cacheInfo(map) } + protected def readLastProcTime(): Option[Long] = readSelfInfo(selfLastProcTime) + protected def submitCleanTime(ms: Long): Unit = { val cleanTime = genCleanTime(ms) val map = Map[String, String]((selfCleanTime -> cleanTime.toString)) @@ -61,10 +62,17 @@ trait DataCacheable { protected def genCleanTime(ms: Long): Long = ms - protected def readCleanTime(): Option[Long] = { - val key = selfCleanTime - val keys = key :: Nil - InfoCacheInstance.readInfo(keys).get(key).flatMap { v => + protected def readCleanTime(): Option[Long] = readSelfInfo(selfCleanTime) + + protected def submitOldCacheIndex(index: Long): Unit = { + val map = Map[String, String]((selfOldCacheIndex -> index.toString)) + InfoCacheInstance.cacheInfo(map) + } + + protected def readOldCacheIndex(): Option[Long] = readSelfInfo(selfOldCacheIndex) + + private def readSelfInfo(key: String): Option[Long] = { + InfoCacheInstance.readInfo(key :: Nil).get(key).flatMap { v => try { Some(v.toLong) } catch { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala new file mode 100644 index 000000000..61a0ed783 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -0,0 +1,295 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import java.util.concurrent.TimeUnit + +import org.apache.griffin.measure.cache.info.{InfoCacheInstance, TimeInfoCache} +import org.apache.griffin.measure.cache.tmst.TmstCache +import org.apache.griffin.measure.log.Loggable +import org.apache.griffin.measure.process.temp.TimeRange +import org.apache.griffin.measure.rule.adaptor.InternalColumns +import org.apache.griffin.measure.utils.{HdfsUtil, TimeUtil} +import org.apache.griffin.measure.utils.ParamUtil._ +import org.apache.spark.sql.{DataFrame, SQLContext, SaveMode} + +trait DataSourceCache extends DataCacheable with Loggable with Serializable { + + val sqlContext: SQLContext + val param: Map[String, Any] + val dsName: String + val index: Int + + var tmstCache: TmstCache = _ + protected def rangeTmsts(from: Long, until: Long) = tmstCache.range(from, until) + protected def clearTmst(t: Long) = tmstCache.remove(t) + protected def clearTmstsUntil(until: Long) = { + val outDateTmsts = tmstCache.until(until) + tmstCache.remove(outDateTmsts) + } + + val _FilePath = "file.path" + val _InfoPath = "info.path" + val _ReadyTimeInterval = "ready.time.interval" + val _ReadyTimeDelay = "ready.time.delay" + val _TimeRange = "time.range" + + val defFilePath = s"hdfs:///griffin/cache/${dsName}/${index}" + val defInfoPath = s"${index}" + + val filePath: String = param.getString(_FilePath, defFilePath) + val cacheInfoPath: String = param.getString(_InfoPath, defInfoPath) + val readyTimeInterval: Long = TimeUtil.milliseconds(param.getString(_ReadyTimeInterval, "1m")).getOrElse(60000L) + val readyTimeDelay: Long = TimeUtil.milliseconds(param.getString(_ReadyTimeDelay, "1m")).getOrElse(60000L) + val deltaTimeRange: (Long, Long) = { + def negative(n: Long): Long = if (n <= 0) n else 0 + param.get(_TimeRange) match { + case Some(seq: Seq[String]) => { + val nseq = seq.flatMap(TimeUtil.milliseconds(_)) + val ns = negative(nseq.headOption.getOrElse(0)) + val ne = negative(nseq.tail.headOption.getOrElse(0)) + (ns, ne) + } + case _ => (0, 0) + } + } + + val _ReadOnly = "read.only" + val readOnly = param.getBoolean(_ReadOnly, false) + +// val rowSepLiteral = "\n" +// val partitionUnits: List[String] = List("hour", "min", "sec") +// val minUnitTime: Long = TimeUtil.timeFromUnit(1, partitionUnits.last) + + val newCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.new") + val oldCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.old") + + val newFilePath = s"${filePath}/new" + val oldFilePath = s"${filePath}/old" + + val defOldCacheIndex = 0L + + def init(): Unit = { + ; + } + + // save new cache data only + def saveData(dfOpt: Option[DataFrame], ms: Long): Unit = { + if (!readOnly) { + dfOpt match { + case Some(df) => { + // lock makes it safer when writing new cache data + val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) + if (newCacheLocked) { + try { + df.write.mode(SaveMode.Append).partitionBy(InternalColumns.tmst).parquet(newFilePath) + } catch { + case e: Throwable => error(s"save data error: ${e.getMessage}") + } finally { + newCacheLock.unlock() + } + } + } + case _ => { + info(s"no data frame to save") + } + } + + // submit cache time and ready time + submitCacheTime(ms) + submitReadyTime(ms) + } + } + + // read new cache data and old cache data + def readData(): (Option[DataFrame], TimeRange) = { + // time range: [a, b) + val timeRange = TimeInfoCache.getTimeRange + submitLastProcTime(timeRange._2) + + val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2) + submitCleanTime(reviseTimeRange._1) + + // read partition info + val filterStr = s"`${InternalColumns.tmst}` >= ${reviseTimeRange._1} AND `${InternalColumns.tmst}` < ${reviseTimeRange._2}" + println(s"read time range: [${reviseTimeRange._1}, ${reviseTimeRange._2})") + + // new cache data + val newDfOpt = try { + Some(sqlContext.read.parquet(newFilePath).filter(filterStr)) + } catch { + case e: Throwable => { + warn(s"read data source cache warn: ${e.getMessage}") + None + } + } + + // old cache data + val oldCacheIndexOpt = readOldCacheIndex + val oldDfOpt = oldCacheIndexOpt.flatMap { idx => + val oldDfPath = s"${oldFilePath}/${idx}" + try { + Some(sqlContext.read.parquet(oldDfPath).filter(filterStr)) + } catch { + case e: Throwable => { + warn(s"read old data source cache warn: ${e.getMessage}") + None + } + } + } + + // whole cache data + val cacheDfOpt = unionDfOpts(newDfOpt, oldDfOpt) + + // from until tmst range + val (from, until) = (reviseTimeRange._1, reviseTimeRange._2) + val tmstSet = rangeTmsts(from, until) + + val retTimeRange = TimeRange(reviseTimeRange, tmstSet) + (cacheDfOpt, retTimeRange) + } + + private def unionDfOpts(dfOpt1: Option[DataFrame], dfOpt2: Option[DataFrame] + ): Option[DataFrame] = { + (dfOpt1, dfOpt2) match { + case (Some(df1), Some(df2)) => Some(df1 unionAll df2) + case (Some(df1), _) => dfOpt1 + case (_, Some(df2)) => dfOpt2 + case _ => None + } + } + + private def cleanOutTimePartitions(path: String, outTime: Long, partitionOpt: Option[String]): Unit = { + val earlierPaths = listEarlierPartitions(path: String, outTime, partitionOpt) + // delete out time data path + earlierPaths.foreach { path => + println(s"delete hdfs path: ${path}") + HdfsUtil.deleteHdfsPath(path) + } + } + private def listEarlierPartitions(path: String, bound: Long, partitionOpt: Option[String]): Iterable[String] = { + val names = HdfsUtil.listSubPathsByType(path, "dir") + val regex = partitionOpt match { + case Some(partition) => s"""^${partition}=(\d+)$$""".r + case _ => s"""^(\d+)$$""".r + } + names.filter { name => + name match { + case regex(value) => { + str2Long(value) match { + case Some(t) => (t < bound) + case _ => false + } + } + case _ => false + } + }.map(name => s"${path}/${name}") + } + private def str2Long(str: String): Option[Long] = { + try { + Some(str.toLong) + } catch { + case e: Throwable => None + } + } + + // clean out time from new cache data and old cache data + def cleanOutTimeData(): Unit = { + if (!readOnly) { + // new cache data + val lastProcTime = readLastProcTime() + lastProcTime match { + case Some(lpt) => { + // clean calculated new cache data + val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) + if (newCacheLocked) { + try { + cleanOutTimePartitions(newFilePath, lpt, Some(InternalColumns.tmst)) + } catch { + case e: Throwable => error(s"clean new cache data error: ${e.getMessage}") + } finally { + newCacheLock.unlock() + } + } + } + case _ => { + // do nothing + } + } + + // old cache data + val cleanTime = readCleanTime() + cleanTime match { + case Some(ct) => { + val oldCacheIndexOpt = readOldCacheIndex + oldCacheIndexOpt.foreach { idx => + val oldDfPath = s"${oldFilePath}/${idx}" + val oldCacheLocked = oldCacheLock.lock(-1, TimeUnit.SECONDS) + if (oldCacheLocked) { + try { + // clean calculated old cache data + cleanOutTimePartitions(oldFilePath, idx, None) + // clean out time old cache data not calculated + cleanOutTimePartitions(oldDfPath, ct, Some(InternalColumns.tmst)) + } catch { + case e: Throwable => error(s"clean old cache data error: ${e.getMessage}") + } finally { + oldCacheLock.unlock() + } + } + } + } + case _ => { + // do nothing + } + } + } + } + + // update old cache data + def updateData(dfOpt: Option[DataFrame]): Unit = { + if (!readOnly) { + dfOpt match { + case Some(df) => { + // old cache lock + val oldCacheLocked = oldCacheLock.lock(-1, TimeUnit.SECONDS) + if (oldCacheLocked) { + try { + val oldCacheIndexOpt = readOldCacheIndex + val nextOldCacheIndex = oldCacheIndexOpt.getOrElse(defOldCacheIndex) + 1 + + val oldDfPath = s"${oldFilePath}/${nextOldCacheIndex}" + df.write.mode(SaveMode.Overwrite).partitionBy(InternalColumns.tmst).parquet(oldDfPath) + + submitOldCacheIndex(nextOldCacheIndex) + } catch { + case e: Throwable => error(s"update data error: ${e.getMessage}") + } finally { + newCacheLock.unlock() + } + } + } + case _ => { + info(s"no data frame to update") + } + } + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OldDataSourceCache.scala similarity index 96% rename from measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala rename to measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OldDataSourceCache.scala index fff186f00..1a80247e2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OldDataSourceCache.scala @@ -16,26 +16,22 @@ KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -package org.apache.griffin.measure.data.source +package org.apache.griffin.measure.data.source.cache import java.util.concurrent.TimeUnit import org.apache.griffin.measure.cache.info.{InfoCacheInstance, TimeInfoCache} import org.apache.griffin.measure.cache.tmst.TmstCache -import org.apache.griffin.measure.data.connector.streaming.StreamingDataConnector -import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.temp.TimeRange +import org.apache.griffin.measure.utils.ParamUtil._ import org.apache.griffin.measure.utils.{HdfsFileDumpUtil, HdfsUtil, TimeUtil} import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, SQLContext} -import scala.util.{Failure, Success} -import org.apache.griffin.measure.utils.ParamUtil._ - -case class DataSourceCache(sqlContext: SQLContext, param: Map[String, Any], - dsName: String, index: Int - ) extends DataCacheable with Loggable with Serializable { +case class OldDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], + dsName: String, index: Int + ) extends DataCacheable with Loggable with Serializable { var tmstCache: TmstCache = _ protected def rangeTmsts(from: Long, until: Long) = tmstCache.range(from, until) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala new file mode 100644 index 000000000..62c9f33d2 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala @@ -0,0 +1,27 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import org.apache.spark.sql.SQLContext + +case class ParquetDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], + dsName: String, index: Int + ) extends DataSourceCache { + +} From 472a524c7ccd220bdceaedcb7c02a68387c10762 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 29 Jan 2018 13:26:50 +0800 Subject: [PATCH 119/177] wait for update old data --- .../streaming/StreamingDataConnector.scala | 4 ++-- .../measure/data/source/DataSource.scala | 12 +++++++----- .../measure/data/source/DataSourceFactory.scala | 4 ++-- .../data/source/cache/DataSourceCache.scala | 17 ++++++++++++----- .../source/cache/ParquetDataSourceCache.scala | 10 +++++++++- .../measure/process/engine/DqEngines.scala | 9 ++++----- 6 files changed, 36 insertions(+), 20 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala index 184a4deba..39f499573 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala @@ -19,7 +19,7 @@ under the License. package org.apache.griffin.measure.data.connector.streaming import org.apache.griffin.measure.data.connector._ -import org.apache.griffin.measure.data.source.cache.OldDataSourceCache +import org.apache.griffin.measure.data.source.cache._ import org.apache.griffin.measure.process.temp.TimeRange import org.apache.spark.rdd.RDD import org.apache.spark.sql.DataFrame @@ -39,6 +39,6 @@ trait StreamingDataConnector extends DataConnector { def data(ms: Long): (Option[DataFrame], TimeRange) = (None, TimeRange.emptyTimeRange) - var dataSourceCacheOpt: Option[OldDataSourceCache] = None + var dataSourceCacheOpt: Option[DataSourceCache] = None } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 37c38ff4d..d437c2132 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -22,7 +22,7 @@ import org.apache.griffin.measure.cache.tmst._ import org.apache.griffin.measure.data.connector._ import org.apache.griffin.measure.data.connector.batch._ import org.apache.griffin.measure.data.connector.streaming._ -import org.apache.griffin.measure.data.source.cache.OldDataSourceCache +import org.apache.griffin.measure.data.source.cache._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters, TimeRange} import org.apache.griffin.measure.rule.plan.TimeInfo @@ -33,7 +33,7 @@ case class DataSource(sqlContext: SQLContext, name: String, baseline: Boolean, dataConnectors: Seq[DataConnector], - dataSourceCacheOpt: Option[OldDataSourceCache] + dataSourceCacheOpt: Option[DataSourceCache] ) extends Loggable with Serializable { val batchDataConnectors = DataConnectorFactory.filterBatchDataConnectors(dataConnectors) @@ -116,15 +116,17 @@ case class DataSource(sqlContext: SQLContext, } def updateData(df: DataFrame, ms: Long): Unit = { - dataSourceCacheOpt.foreach(_.updateData(df, ms)) +// dataSourceCacheOpt.foreach(_.updateData(df, ms)) + dataSourceCacheOpt.foreach(_.updateData(Some(df))) } def updateDataMap(dfMap: Map[Long, DataFrame]): Unit = { - dataSourceCacheOpt.foreach(_.updateDataMap(dfMap)) +// dataSourceCacheOpt.foreach(_.updateDataMap(dfMap)) } def cleanOldData(): Unit = { - dataSourceCacheOpt.foreach(_.cleanOldData) +// dataSourceCacheOpt.foreach(_.cleanOldData) + dataSourceCacheOpt.foreach(_.cleanOutTimeData) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala index 9d1e59df2..a9ef02ae0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala @@ -22,7 +22,7 @@ import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.data.connector.batch.BatchDataConnector import org.apache.griffin.measure.data.connector.streaming.StreamingDataConnector import org.apache.griffin.measure.data.connector.{DataConnector, DataConnectorFactory} -import org.apache.griffin.measure.data.source.cache.OldDataSourceCache +import org.apache.griffin.measure.data.source.cache.{OldDataSourceCache, ParquetDataSourceCache} import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.engine.{DqEngine, DqEngines} import org.apache.spark.sql.SQLContext @@ -66,7 +66,7 @@ object DataSourceFactory extends Loggable { ) = { if (param != null) { try { - Some(OldDataSourceCache(sqlContext, param, name, index)) + Some(ParquetDataSourceCache(sqlContext, param, name, index)) } catch { case e: Throwable => { error(s"generate data source cache fails") diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index 61a0ed783..a62026651 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -27,7 +27,7 @@ import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.utils.{HdfsUtil, TimeUtil} import org.apache.griffin.measure.utils.ParamUtil._ -import org.apache.spark.sql.{DataFrame, SQLContext, SaveMode} +import org.apache.spark.sql._ trait DataSourceCache extends DataCacheable with Loggable with Serializable { @@ -85,6 +85,9 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val defOldCacheIndex = 0L + protected def writeDataFrame(dfw: DataFrameWriter, path: String): Unit + protected def readDataFrame(dfr: DataFrameReader, path: String): DataFrame + def init(): Unit = { ; } @@ -98,7 +101,8 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) if (newCacheLocked) { try { - df.write.mode(SaveMode.Append).partitionBy(InternalColumns.tmst).parquet(newFilePath) + val dfw = df.write.mode(SaveMode.Append).partitionBy(InternalColumns.tmst) + writeDataFrame(dfw, newFilePath) } catch { case e: Throwable => error(s"save data error: ${e.getMessage}") } finally { @@ -132,7 +136,8 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { // new cache data val newDfOpt = try { - Some(sqlContext.read.parquet(newFilePath).filter(filterStr)) + val dfr = sqlContext.read + Some(readDataFrame(dfr, newFilePath).filter(filterStr)) } catch { case e: Throwable => { warn(s"read data source cache warn: ${e.getMessage}") @@ -145,7 +150,8 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val oldDfOpt = oldCacheIndexOpt.flatMap { idx => val oldDfPath = s"${oldFilePath}/${idx}" try { - Some(sqlContext.read.parquet(oldDfPath).filter(filterStr)) + val dfr = sqlContext.read + Some(readDataFrame(dfr, oldDfPath).filter(filterStr)) } catch { case e: Throwable => { warn(s"read old data source cache warn: ${e.getMessage}") @@ -275,7 +281,8 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val nextOldCacheIndex = oldCacheIndexOpt.getOrElse(defOldCacheIndex) + 1 val oldDfPath = s"${oldFilePath}/${nextOldCacheIndex}" - df.write.mode(SaveMode.Overwrite).partitionBy(InternalColumns.tmst).parquet(oldDfPath) + val dfw = df.write.mode(SaveMode.Overwrite).partitionBy(InternalColumns.tmst) + writeDataFrame(dfw, oldDfPath) submitOldCacheIndex(nextOldCacheIndex) } catch { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala index 62c9f33d2..2f8bb48c6 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala @@ -18,10 +18,18 @@ under the License. */ package org.apache.griffin.measure.data.source.cache -import org.apache.spark.sql.SQLContext +import org.apache.spark.sql.{DataFrame, DataFrameReader, DataFrameWriter, SQLContext} case class ParquetDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], dsName: String, index: Int ) extends DataSourceCache { + def writeDataFrame(dfw: DataFrameWriter, path: String): Unit = { + dfw.parquet(path) + } + + def readDataFrame(dfr: DataFrameReader, path: String): DataFrame = { + dfr.parquet(path) + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 8f1776466..37beca04c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -89,10 +89,9 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { case _ => Nil } val future = Future { -// df.cache persist.persistRecords(df, recordExport.name) - updateDsCaches.foreach(_.updateData(df, tmst)) -// df.unpersist +// updateDsCaches.foreach(_.updateData(df, tmst)) + updateDsCaches.foreach(_.updateData(Some(df))) true } future.onComplete { @@ -176,14 +175,14 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { val persist = persistFactory.getPersists(tmst) persist.persistRecords(strs, recordExport.name) - updateDsCaches.foreach(_.updateData(strs, tmst)) +// updateDsCaches.foreach(_.updateData(strs, tmst)) } } emtpyRecordKeys.foreach { t => val persist = persistFactory.getPersists(t) persist.persistRecords(Nil, recordExport.name) - updateDsCaches.foreach(_.updateData(Nil, t)) +// updateDsCaches.foreach(_.updateData(Nil, t)) } } From eb77c37f7d9766bb96eacabadf93d232af7fe93b Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 29 Jan 2018 16:58:46 +0800 Subject: [PATCH 120/177] test case pass --- .../measure/data/source/DataSource.scala | 5 +- .../data/source/cache/DataSourceCache.scala | 29 +++++----- .../source/cache/ParquetDataSourceCache.scala | 5 ++ .../measure/process/StreamingDqThread.scala | 3 + .../measure/process/engine/DqEngine.scala | 2 + .../measure/process/engine/DqEngines.scala | 56 +++++++++++++------ .../process/engine/SparkDqEngine.scala | 9 +++ .../rule/adaptor/DataFrameOprAdaptor.scala | 6 +- .../rule/adaptor/GriffinDslAdaptor.scala | 10 +++- .../measure/rule/adaptor/RuleAdaptor.scala | 19 +++++++ .../rule/adaptor/SparkSqlAdaptor.scala | 6 +- .../griffin/measure/rule/plan/DsUpdate.scala | 24 ++++++++ .../griffin/measure/rule/plan/RulePlan.scala | 9 ++- .../_accuracy-streaming-griffindsl.json | 6 +- 14 files changed, 149 insertions(+), 40 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/plan/DsUpdate.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index d437c2132..40f04db50 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -115,9 +115,12 @@ case class DataSource(sqlContext: SQLContext, } } + def updateData(df: DataFrame): Unit = { + dataSourceCacheOpt.foreach(_.updateData(Some(df))) + } + def updateData(df: DataFrame, ms: Long): Unit = { // dataSourceCacheOpt.foreach(_.updateData(df, ms)) - dataSourceCacheOpt.foreach(_.updateData(Some(df))) } def updateDataMap(dfMap: Map[Long, DataFrame]): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index a62026651..3d1bad7f7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -73,6 +73,9 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val _ReadOnly = "read.only" val readOnly = param.getBoolean(_ReadOnly, false) + val _Updatable = "updatable" + val updatable = param.getBoolean(_Updatable, false) + // val rowSepLiteral = "\n" // val partitionUnits: List[String] = List("hour", "min", "sec") // val minUnitTime: Long = TimeUtil.timeFromUnit(1, partitionUnits.last) @@ -88,9 +91,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { protected def writeDataFrame(dfw: DataFrameWriter, path: String): Unit protected def readDataFrame(dfr: DataFrameReader, path: String): DataFrame - def init(): Unit = { - ; - } + def init(): Unit = {} // save new cache data only def saveData(dfOpt: Option[DataFrame], ms: Long): Unit = { @@ -192,8 +193,8 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { private def listEarlierPartitions(path: String, bound: Long, partitionOpt: Option[String]): Iterable[String] = { val names = HdfsUtil.listSubPathsByType(path, "dir") val regex = partitionOpt match { - case Some(partition) => s"""^${partition}=(\d+)$$""".r - case _ => s"""^(\d+)$$""".r + case Some(partition) => s"^${partition}=(\\d+)$$".r + case _ => "^(\\d+)$".r } names.filter { name => name match { @@ -219,14 +220,14 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { def cleanOutTimeData(): Unit = { if (!readOnly) { // new cache data - val lastProcTime = readLastProcTime() - lastProcTime match { - case Some(lpt) => { + val newCacheCleanTime = if (updatable) readLastProcTime else readCleanTime + newCacheCleanTime match { + case Some(nct) => { // clean calculated new cache data val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) if (newCacheLocked) { try { - cleanOutTimePartitions(newFilePath, lpt, Some(InternalColumns.tmst)) + cleanOutTimePartitions(newFilePath, nct, Some(InternalColumns.tmst)) } catch { case e: Throwable => error(s"clean new cache data error: ${e.getMessage}") } finally { @@ -240,9 +241,9 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { } // old cache data - val cleanTime = readCleanTime() - cleanTime match { - case Some(ct) => { + val oldCacheCleanTime = readCleanTime + oldCacheCleanTime match { + case Some(oct) => { val oldCacheIndexOpt = readOldCacheIndex oldCacheIndexOpt.foreach { idx => val oldDfPath = s"${oldFilePath}/${idx}" @@ -252,7 +253,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { // clean calculated old cache data cleanOutTimePartitions(oldFilePath, idx, None) // clean out time old cache data not calculated - cleanOutTimePartitions(oldDfPath, ct, Some(InternalColumns.tmst)) + cleanOutTimePartitions(oldDfPath, oct, Some(InternalColumns.tmst)) } catch { case e: Throwable => error(s"clean old cache data error: ${e.getMessage}") } finally { @@ -288,7 +289,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { } catch { case e: Throwable => error(s"update data error: ${e.getMessage}") } finally { - newCacheLock.unlock() + oldCacheLock.unlock() } } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala index 2f8bb48c6..1761f562a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala @@ -24,7 +24,12 @@ case class ParquetDataSourceCache(sqlContext: SQLContext, param: Map[String, Any dsName: String, index: Int ) extends DataSourceCache { + override def init(): Unit = { + sqlContext.sparkContext.hadoopConfiguration.set("parquet.enable.summary-metadata", "false"); + } + def writeDataFrame(dfw: DataFrameWriter, path: String): Unit = { + println(s"write path: ${path}") dfw.parquet(path) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index c3c4f09d4..d9c0ac3f1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -95,6 +95,9 @@ case class StreamingDqThread(sqlContext: SQLContext, // persist records dqEngines.persistAllRecords(optRulePlan.recordExports, persistFactory, dataSources) + // update data sources + dqEngines.updateDataSources(optRulePlan.dsUpdates, dataSources) + val et = new Date().getTime val persistTimeStr = s"persist records using time: ${et - rt} ms" appPersist.log(et, persistTimeStr) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala index ee3a65eb6..3d7745867 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngine.scala @@ -46,4 +46,6 @@ trait DqEngine extends Loggable with Serializable { def collectBatchRecords(recordExport: RecordExport): Option[RDD[String]] def collectStreamingRecords(recordExport: RecordExport): (Option[RDD[(Long, Iterable[String])]], Set[Long]) + + def collectUpdateDf(dsUpdate: DsUpdate): Option[DataFrame] } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index 37beca04c..f55f8839f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -28,7 +28,7 @@ import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.process._ import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.plan.{DsUpdate, _} import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row} @@ -361,25 +361,47 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { // } // } - def updateDataSources(stepRdds: Seq[(RuleStep, DataFrame)], + def collectUpdateDf(dsUpdate: DsUpdate): Option[DataFrame] = { + val ret = engines.foldLeft(None: Option[DataFrame]) { (ret, engine) => + if (ret.nonEmpty) ret else engine.collectUpdateDf(dsUpdate) + } + ret + } + + def updateDataSources(dsUpdates: Seq[DsUpdate], dataSources: Seq[DataSource]): Unit = { -// stepRdds.foreach { stepRdd => -// val (step, df) = stepRdd -// if (step.ruleInfo.cacheDataSourceOpt.nonEmpty) { -// val udpateDsCaches = dataSources.filter { ds => -// step.ruleInfo.cacheDataSourceOpt match { -// case Some(dsName) if (dsName == ds.name) => true -// case _ => false -// } -// }.flatMap(_.dataSourceCacheOpt) -// if (udpateDsCaches.size > 0) { -// val t = step.timeInfo.tmst -// udpateDsCaches.foreach(_.updateData(df, t)) -// } -// } -// } + dsUpdates.foreach { dsUpdate => + val dsName = dsUpdate.dsName + collectUpdateDf(dsUpdate) match { + case Some(df) => { + dataSources.filter(_.name == dsName).headOption.foreach(_.updateData(df)) + } + case _ => { + // do nothing + } + } + } } +// def updateDataSources(stepRdds: Seq[(RuleStep, DataFrame)], +// dataSources: Seq[DataSource]): Unit = { +//// stepRdds.foreach { stepRdd => +//// val (step, df) = stepRdd +//// if (step.ruleInfo.cacheDataSourceOpt.nonEmpty) { +//// val udpateDsCaches = dataSources.filter { ds => +//// step.ruleInfo.cacheDataSourceOpt match { +//// case Some(dsName) if (dsName == ds.name) => true +//// case _ => false +//// } +//// }.flatMap(_.dataSourceCacheOpt) +//// if (udpateDsCaches.size > 0) { +//// val t = step.timeInfo.tmst +//// udpateDsCaches.foreach(_.updateData(df, t)) +//// } +//// } +//// } +// } + // def updateDataSources(stepRdds: Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])], // dataSources: Seq[DataSource]): Unit = { // stepRdds.foreach { stepRdd => diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 736ce566b..f9a62c6ce 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -19,6 +19,7 @@ under the License. package org.apache.griffin.measure.process.engine import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} +import org.apache.griffin.measure.data.source.DataSource import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process._ import org.apache.griffin.measure.rule.adaptor.InternalColumns @@ -257,6 +258,14 @@ trait SparkDqEngine extends DqEngine { // } } + def collectUpdateDf(dsUpdate: DsUpdate): Option[DataFrame] = { + if (collectable) { + val DsUpdate(_, stepName, _) = dsUpdate + val stepDf = sqlContext.table(s"`${stepName}`") + Some(stepDf) + } else None + } + // // def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] = { // if (collectable) { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala index 97589ad75..0b0b46197 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/DataFrameOprAdaptor.scala @@ -52,7 +52,11 @@ case class DataFrameOprAdaptor() extends RuleAdaptor { val name = getRuleName(param) val step = DfOprStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) val mode = ExportMode.defaultMode(procType) - RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime, mode)) + RulePlan( + step :: Nil, + genRuleExports(param, name, name, timeInfo.calcTime, mode), + genDsUpdates(param, "", name) + ) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 5655a133a..e8f8afd57 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -116,6 +116,13 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } case StreamingProcessType => Nil } + val missRecordsUpdates = procType match { + case BatchProcessType => Nil + case StreamingProcessType => { + val updateParam = emptyMap + genDsUpdate(updateParam, sourceName, missRecordsTableName) :: Nil + } + } // 2. miss count val missCountTableName = "__missCount" @@ -170,7 +177,8 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], // current accu plan val accuSteps = missRecordsStep :: missCountStep :: totalCountStep :: accuracyStep :: Nil val accuExports = missRecordsExports ++ accuracyExports - val accuPlan = RulePlan(accuSteps, accuExports) + val accuUpdates = missRecordsUpdates + val accuPlan = RulePlan(accuSteps, accuExports, accuUpdates) // streaming extra accu plan val streamingAccuPlan = procType match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index 25025ac14..050bd56c5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -56,6 +56,7 @@ object RuleParamKeys { val _metric = "metric" val _record = "record" + val _dsUpdate = "ds.update" def getName(param: Map[String, Any], defName: String): String = param.getString(_name, defName) def getRule(param: Map[String, Any]): String = param.getString(_rule, "") @@ -66,6 +67,7 @@ object RuleParamKeys { def getMetricOpt(param: Map[String, Any]): Option[Map[String, Any]] = param.getParamMapOpt(_metric) def getRecordOpt(param: Map[String, Any]): Option[Map[String, Any]] = param.getParamMapOpt(_record) + def getDsUpdateOpt(param: Map[String, Any]): Option[Map[String, Any]] = param.getParamMapOpt(_dsUpdate) } object ExportParamKeys { @@ -80,6 +82,12 @@ object ExportParamKeys { def getOriginDFOpt(param: Map[String, Any]): Option[String] = param.get(_originDF).map(_.toString) } +object UpdateParamKeys { + val _name = "name" + + def getName(param: Map[String, Any], defName: String): String = param.getString(_name, defName) +} + trait RuleAdaptor extends Loggable with Serializable { // val adaptPhase: AdaptPhase @@ -153,6 +161,17 @@ trait RuleAdaptor extends Loggable with Serializable { ) } + protected def genDsUpdates(param: Map[String, Any], defDsName: String, + stepName: String + ): Seq[DsUpdate] = { + val dsUpdateOpt = RuleParamKeys.getDsUpdateOpt(param) + dsUpdateOpt.map(genDsUpdate(_, defDsName, stepName)).toSeq + } + protected def genDsUpdate(param: Map[String, Any], defDsName: String, + stepName: String): DsUpdate = { + DsUpdate(UpdateParamKeys.getName(param, defDsName), stepName) + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala index 1fce03b0c..b7c68b56f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/SparkSqlAdaptor.scala @@ -45,7 +45,11 @@ case class SparkSqlAdaptor() extends RuleAdaptor { val name = getRuleName(param) val step = SparkSqlStep(name, getRule(param), getDetails(param), getCache(param), getGlobal(param)) val mode = ExportMode.defaultMode(procType) - RulePlan(step :: Nil, genRuleExports(param, name, name, timeInfo.calcTime, mode)) + RulePlan( + step :: Nil, + genRuleExports(param, name, name, timeInfo.calcTime, mode), + genDsUpdates(param, "", name) + ) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DsUpdate.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DsUpdate.scala new file mode 100644 index 000000000..4956b29d6 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DsUpdate.scala @@ -0,0 +1,24 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.plan + +case class DsUpdate(dsName: String, + stepName: String + ) extends Serializable { +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RulePlan.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RulePlan.scala index 54a606236..678ab3e44 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RulePlan.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RulePlan.scala @@ -21,7 +21,8 @@ package org.apache.griffin.measure.rule.plan import scala.reflect.ClassTag case class RulePlan(ruleSteps: Seq[RuleStep], - ruleExports: Seq[RuleExport] + ruleExports: Seq[RuleExport], + dsUpdates: Seq[DsUpdate] = Nil ) extends Serializable { val globalRuleSteps = filterRuleSteps(_.global) @@ -48,7 +49,11 @@ case class RulePlan(ruleSteps: Seq[RuleStep], // } def merge(rp: RulePlan): RulePlan = { - RulePlan(this.ruleSteps ++ rp.ruleSteps, this.ruleExports ++ rp.ruleExports) + RulePlan( + this.ruleSteps ++ rp.ruleSteps, + this.ruleExports ++ rp.ruleExports, + this.dsUpdates ++ rp.dsUpdates + ) } } diff --git a/measure/src/test/resources/_accuracy-streaming-griffindsl.json b/measure/src/test/resources/_accuracy-streaming-griffindsl.json index da010d7ce..29b0b888d 100644 --- a/measure/src/test/resources/_accuracy-streaming-griffindsl.json +++ b/measure/src/test/resources/_accuracy-streaming-griffindsl.json @@ -44,7 +44,8 @@ "info.path": "source", "ready.time.interval": "10s", "ready.time.delay": "0", - "time.range": ["-2m", "0"] + "time.range": ["-2m", "0"], + "updatable": true } }, { "name": "target", @@ -108,8 +109,7 @@ "name": "accu" }, "record": { - "name": "missRecords", - "data.source.cache": "source" + "name": "missRecords" } } ] From 929126b57de121b0f31e838d4e1dc8dca26edff1 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 30 Jan 2018 09:44:08 +0800 Subject: [PATCH 121/177] coalesce partition --- .../streaming/KafkaStreamingDataConnector.scala | 9 ++++++++- .../griffin/measure/process/engine/SparkDqEngine.scala | 2 +- 2 files changed, 9 insertions(+), 2 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala index 41de2175a..f973f3f12 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala @@ -49,7 +49,14 @@ trait KafkaStreamingDataConnector extends StreamingDataConnector { ds.foreachRDD((rdd, time) => { val ms = time.milliseconds - val dfOpt = transform(rdd) + // coalesce partition number + val prlCount = rdd.sparkContext.defaultParallelism + val ptnCount = rdd.getNumPartitions + val repartitionedRdd = if (prlCount < ptnCount) { + rdd.coalesce(prlCount) + } else rdd + + val dfOpt = transform(repartitionedRdd) val preDfOpt = preProcess(dfOpt, ms) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index f9a62c6ce..150cb5f1d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -260,7 +260,7 @@ trait SparkDqEngine extends DqEngine { def collectUpdateDf(dsUpdate: DsUpdate): Option[DataFrame] = { if (collectable) { - val DsUpdate(_, stepName, _) = dsUpdate + val DsUpdate(_, stepName) = dsUpdate val stepDf = sqlContext.table(s"`${stepName}`") Some(stepDf) } else None From 0cad1c49dfb154267d03837381d546ec14edfdfc Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 30 Jan 2018 14:45:01 +0800 Subject: [PATCH 122/177] old cache data save together --- .../KafkaStreamingDataConnector.scala | 2 +- .../data/source/cache/DataSourceCache.scala | 24 ++++++++++++++----- 2 files changed, 19 insertions(+), 7 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala index f973f3f12..63b940095 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala @@ -50,7 +50,7 @@ trait KafkaStreamingDataConnector extends StreamingDataConnector { val ms = time.milliseconds // coalesce partition number - val prlCount = rdd.sparkContext.defaultParallelism + val prlCount = rdd.sparkContext.defaultParallelism / 2 val ptnCount = rdd.getNumPartitions val repartitionedRdd = if (prlCount < ptnCount) { rdd.coalesce(prlCount) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index 3d1bad7f7..76b06875e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -126,10 +126,13 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { def readData(): (Option[DataFrame], TimeRange) = { // time range: [a, b) val timeRange = TimeInfoCache.getTimeRange - submitLastProcTime(timeRange._2) - val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2) - submitCleanTime(reviseTimeRange._1) + + // next last proc time + submitLastProcTime(timeRange._2) + // next clean time + val nextCleanTime = timeRange._2 + deltaTimeRange._1 + submitCleanTime(nextCleanTime) // read partition info val filterStr = s"`${InternalColumns.tmst}` >= ${reviseTimeRange._1} AND `${InternalColumns.tmst}` < ${reviseTimeRange._2}" @@ -253,7 +256,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { // clean calculated old cache data cleanOutTimePartitions(oldFilePath, idx, None) // clean out time old cache data not calculated - cleanOutTimePartitions(oldDfPath, oct, Some(InternalColumns.tmst)) +// cleanOutTimePartitions(oldDfPath, oct, Some(InternalColumns.tmst)) } catch { case e: Throwable => error(s"clean old cache data error: ${e.getMessage}") } finally { @@ -271,7 +274,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { // update old cache data def updateData(dfOpt: Option[DataFrame]): Unit = { - if (!readOnly) { + if (!readOnly && updatable) { dfOpt match { case Some(df) => { // old cache lock @@ -282,7 +285,16 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val nextOldCacheIndex = oldCacheIndexOpt.getOrElse(defOldCacheIndex) + 1 val oldDfPath = s"${oldFilePath}/${nextOldCacheIndex}" - val dfw = df.write.mode(SaveMode.Overwrite).partitionBy(InternalColumns.tmst) +// val dfw = df.write.mode(SaveMode.Overwrite).partitionBy(InternalColumns.tmst) + val cleanTime = readCleanTime + val updateDf = cleanTime match { + case Some(ct) => { + val filterStr = s"`${InternalColumns.tmst}` >= ${ct}" + df.filter(filterStr) + } + case _ => df + } + val dfw = updateDf.write.mode(SaveMode.Overwrite) writeDataFrame(dfw, oldDfPath) submitOldCacheIndex(nextOldCacheIndex) From 8f5d20007b721e83256b4d4bc805116e8f88534a Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 30 Jan 2018 14:46:12 +0800 Subject: [PATCH 123/177] parallize number --- .../data/connector/streaming/KafkaStreamingDataConnector.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala index 63b940095..f973f3f12 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala @@ -50,7 +50,7 @@ trait KafkaStreamingDataConnector extends StreamingDataConnector { val ms = time.milliseconds // coalesce partition number - val prlCount = rdd.sparkContext.defaultParallelism / 2 + val prlCount = rdd.sparkContext.defaultParallelism val ptnCount = rdd.getNumPartitions val repartitionedRdd = if (prlCount < ptnCount) { rdd.coalesce(prlCount) From db4ada265cadad44312a3ddcbfd41ca05329c029 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 30 Jan 2018 15:09:13 +0800 Subject: [PATCH 124/177] optimize process speed --- .../measure/data/source/cache/DataSourceCache.scala | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index 76b06875e..a4c54129c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -155,7 +155,8 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val oldDfPath = s"${oldFilePath}/${idx}" try { val dfr = sqlContext.read - Some(readDataFrame(dfr, oldDfPath).filter(filterStr)) +// Some(readDataFrame(dfr, oldDfPath).filter(filterStr)) + Some(readDataFrame(dfr, oldDfPath)) // not need to filter, has filtered in update phase } catch { case e: Throwable => { warn(s"read old data source cache warn: ${e.getMessage}") @@ -244,7 +245,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { } // old cache data - val oldCacheCleanTime = readCleanTime + val oldCacheCleanTime = if (updatable) readCleanTime else None oldCacheCleanTime match { case Some(oct) => { val oldCacheIndexOpt = readOldCacheIndex @@ -275,6 +276,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { // update old cache data def updateData(dfOpt: Option[DataFrame]): Unit = { if (!readOnly && updatable) { + val prlCount = sqlContext.sparkContext.defaultParallelism dfOpt match { case Some(df) => { // old cache lock @@ -294,7 +296,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { } case _ => df } - val dfw = updateDf.write.mode(SaveMode.Overwrite) + val dfw = updateDf.coalesce(prlCount).write.mode(SaveMode.Overwrite) writeDataFrame(dfw, oldDfPath) submitOldCacheIndex(nextOldCacheIndex) From d52195be8aafbbd36acedfb5a9ff49e62f057329 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 30 Jan 2018 17:24:16 +0800 Subject: [PATCH 125/177] data source cache type supporting json and orc --- .../data/source/DataSourceFactory.scala | 2 +- .../data/source/cache/DataSourceCache.scala | 12 +- .../source/cache/DataSourceCacheFactory.scala | 59 +++ .../source/cache/JsonDataSourceCache.scala | 40 ++ .../source/cache/OldDataSourceCache.scala | 399 ------------------ .../source/cache/OrcDataSourceCache.scala | 40 ++ .../_accuracy-streaming-griffindsl.json | 2 + 7 files changed, 151 insertions(+), 403 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCacheFactory.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/JsonDataSourceCache.scala delete mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OldDataSourceCache.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OrcDataSourceCache.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala index a9ef02ae0..9b578bfc1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala @@ -22,7 +22,7 @@ import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.data.connector.batch.BatchDataConnector import org.apache.griffin.measure.data.connector.streaming.StreamingDataConnector import org.apache.griffin.measure.data.connector.{DataConnector, DataConnectorFactory} -import org.apache.griffin.measure.data.source.cache.{OldDataSourceCache, ParquetDataSourceCache} +import org.apache.griffin.measure.data.source.cache._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.engine.{DqEngine, DqEngines} import org.apache.spark.sql.SQLContext diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index a4c54129c..91cdcdb89 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -150,7 +150,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { } // old cache data - val oldCacheIndexOpt = readOldCacheIndex + val oldCacheIndexOpt = if (updatable) readOldCacheIndex else None val oldDfOpt = oldCacheIndexOpt.flatMap { idx => val oldDfPath = s"${oldFilePath}/${idx}" try { @@ -276,7 +276,6 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { // update old cache data def updateData(dfOpt: Option[DataFrame]): Unit = { if (!readOnly && updatable) { - val prlCount = sqlContext.sparkContext.defaultParallelism dfOpt match { case Some(df) => { // old cache lock @@ -296,7 +295,14 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { } case _ => df } - val dfw = updateDf.coalesce(prlCount).write.mode(SaveMode.Overwrite) + + // coalesce partition number + val prlCount = sqlContext.sparkContext.defaultParallelism + val ptnCount = updateDf.rdd.getNumPartitions + val repartitionedDf = if (prlCount < ptnCount) { + updateDf.coalesce(prlCount) + } else updateDf + val dfw = repartitionedDf.write.mode(SaveMode.Overwrite) writeDataFrame(dfw, oldDfPath) submitOldCacheIndex(nextOldCacheIndex) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCacheFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCacheFactory.scala new file mode 100644 index 000000000..178b85226 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCacheFactory.scala @@ -0,0 +1,59 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import org.apache.griffin.measure.data.source.DataSourceFactory._ +import org.apache.griffin.measure.log.Loggable +import org.apache.spark.sql.SQLContext +import org.apache.griffin.measure.utils.ParamUtil._ + +object DataSourceCacheFactory extends Loggable { + + private object DataSourceCacheType { + val parquet = "^(?i)parq(uet)?$".r + val json = "^(?i)json$".r + val orc = "^(?i)orc$".r + } + import DataSourceCacheType._ + + val _type = "type" + + def genDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], + name: String, index: Int + ) = { + if (param != null) { + try { + val tp = param.getString(_type, "") + val dsCache = tp match { + case parquet() => ParquetDataSourceCache(sqlContext, param, name, index) + case json() => JsonDataSourceCache(sqlContext, param, name, index) + case orc() => OrcDataSourceCache(sqlContext, param, name, index) + case _ => ParquetDataSourceCache(sqlContext, param, name, index) + } + Some(dsCache) + } catch { + case e: Throwable => { + error(s"generate data source cache fails") + None + } + } + } else None + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/JsonDataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/JsonDataSourceCache.scala new file mode 100644 index 000000000..e284d47fd --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/JsonDataSourceCache.scala @@ -0,0 +1,40 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import org.apache.spark.sql.{DataFrame, DataFrameReader, DataFrameWriter, SQLContext} + +case class JsonDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], + dsName: String, index: Int + ) extends DataSourceCache { + + override def init(): Unit = { +// sqlContext.sparkContext.hadoopConfiguration.set("parquet.enable.summary-metadata", "false"); + } + + def writeDataFrame(dfw: DataFrameWriter, path: String): Unit = { + println(s"write path: ${path}") + dfw.json(path) + } + + def readDataFrame(dfr: DataFrameReader, path: String): DataFrame = { + dfr.json(path) + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OldDataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OldDataSourceCache.scala deleted file mode 100644 index 1a80247e2..000000000 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OldDataSourceCache.scala +++ /dev/null @@ -1,399 +0,0 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.data.source.cache - -import java.util.concurrent.TimeUnit - -import org.apache.griffin.measure.cache.info.{InfoCacheInstance, TimeInfoCache} -import org.apache.griffin.measure.cache.tmst.TmstCache -import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.process.temp.TimeRange -import org.apache.griffin.measure.utils.ParamUtil._ -import org.apache.griffin.measure.utils.{HdfsFileDumpUtil, HdfsUtil, TimeUtil} -import org.apache.spark.rdd.RDD -import org.apache.spark.sql.{DataFrame, SQLContext} - -case class OldDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], - dsName: String, index: Int - ) extends DataCacheable with Loggable with Serializable { - - var tmstCache: TmstCache = _ - protected def rangeTmsts(from: Long, until: Long) = tmstCache.range(from, until) - protected def clearTmst(t: Long) = tmstCache.remove(t) - protected def clearTmstsUntil(until: Long) = { - val outDateTmsts = tmstCache.until(until) - tmstCache.remove(outDateTmsts) - } - - val _FilePath = "file.path" - val _InfoPath = "info.path" - val _ReadyTimeInterval = "ready.time.interval" - val _ReadyTimeDelay = "ready.time.delay" - val _TimeRange = "time.range" - - val defFilePath = s"hdfs:///griffin/cache/${dsName}/${index}" - val defInfoPath = s"${index}" - - val filePath: String = param.getString(_FilePath, defFilePath) - val cacheInfoPath: String = param.getString(_InfoPath, defInfoPath) - val readyTimeInterval: Long = TimeUtil.milliseconds(param.getString(_ReadyTimeInterval, "1m")).getOrElse(60000L) - val readyTimeDelay: Long = TimeUtil.milliseconds(param.getString(_ReadyTimeDelay, "1m")).getOrElse(60000L) - val deltaTimeRange: (Long, Long) = { - def negative(n: Long): Long = if (n <= 0) n else 0 - param.get(_TimeRange) match { - case Some(seq: Seq[String]) => { - val nseq = seq.flatMap(TimeUtil.milliseconds(_)) - val ns = negative(nseq.headOption.getOrElse(0)) - val ne = negative(nseq.tail.headOption.getOrElse(0)) - (ns, ne) - } - case _ => (0, 0) - } - } - -// val _WriteInfoPath = "write.info.path" -// val _ReadInfoPath = "read.info.path" -// val writeCacheInfoPath = param.getString(_WriteInfoPath, defInfoPath) -// val readCacheInfoPath = param.getString(_ReadInfoPath, defInfoPath) - - val _ReadOnly = "read.only" - val readOnly = param.getBoolean(_ReadOnly, false) - - val rowSepLiteral = "\n" - val partitionUnits: List[String] = List("hour", "min", "sec") - val minUnitTime: Long = TimeUtil.timeFromUnit(1, partitionUnits.last) - - val newCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.new") - val oldCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.old") - - def init(): Unit = { - ; - } - - def saveData(dfOpt: Option[DataFrame], ms: Long): Unit = { - if (!readOnly) { - dfOpt match { - case Some(df) => { - val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) - if (newCacheLocked) { - try { - val ptns = getPartition(ms) - val ptnsPath = genPartitionHdfsPath(ptns) - val dirPath = s"${filePath}/${ptnsPath}" - val dataFileName = s"${ms}" - val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) - - // transform data - val dataRdd: RDD[String] = df.toJSON - - // save data - // val dumped = if (!dataRdd.isEmpty) { - // HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) - // } else false - - if (!dataRdd.isEmpty) { - HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) - } - - } catch { - case e: Throwable => error(s"save data error: ${e.getMessage}") - } finally { - newCacheLock.unlock() - } - } - } - case _ => { - info(s"no data frame to save") - } - } - - // submit cache time and ready time - submitCacheTime(ms) - submitReadyTime(ms) - } - } - - // return: (data frame option, time range) - def readData(): (Option[DataFrame], TimeRange) = { - val tr = TimeInfoCache.getTimeRange - val timeRange = (tr._1 + minUnitTime, tr._2) - submitLastProcTime(timeRange._2) - - val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2) - submitCleanTime(reviseTimeRange._1) - - // read directly through partition info - val partitionRanges = getPartitionRange(reviseTimeRange._1, reviseTimeRange._2) - println(s"read time ranges: ${reviseTimeRange}") - println(s"read partition ranges: ${partitionRanges}") - - // list partition paths - val partitionPaths = listPathsBetweenRanges(filePath :: Nil, partitionRanges) -// println(partitionPaths) - - val dfOpt = if (partitionPaths.isEmpty) { - None - } else { - try { - Some(sqlContext.read.json(partitionPaths: _*)) - } catch { - case e: Throwable => { - warn(s"read data source cache warn: ${e.getMessage}") - None - } - } - } - - // from until tmst range - val (from, until) = (reviseTimeRange._1, reviseTimeRange._2 + 1) - val tmstSet = rangeTmsts(from, until) - - val retTimeRange = TimeRange(reviseTimeRange, tmstSet) - (dfOpt, retTimeRange) - } - - def updateData(df: DataFrame, ms: Long): Unit = { - if (!readOnly) { - val ptns = getPartition(ms) - val ptnsPath = genPartitionHdfsPath(ptns) - val dirPath = s"${filePath}/${ptnsPath}" - val dataFileName = s"${ms}" - val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) - - try { - val records = df.toJSON - val arr = records.collect - val needSave = !arr.isEmpty - - // remove out time old data - HdfsFileDumpUtil.remove(dirPath, dataFileName, true) - println(s"remove file path: ${dirPath}/${dataFileName}") - - // save updated data - if (needSave) { - HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) - println(s"update file path: ${dataFilePath}") - } else { - clearTmst(ms) - println(s"data source [${dsName}] timestamp [${ms}] cleared") - } - } catch { - case e: Throwable => error(s"update data error: ${e.getMessage}") - } - } - } - - def updateData(rdd: RDD[String], ms: Long, cnt: Long): Unit = { - if (!readOnly) { - val ptns = getPartition(ms) - val ptnsPath = genPartitionHdfsPath(ptns) - val dirPath = s"${filePath}/${ptnsPath}" - val dataFileName = s"${ms}" - val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) - - try { - // val needSave = !rdd.isEmpty - - // remove out time old data - HdfsFileDumpUtil.remove(dirPath, dataFileName, true) - println(s"remove file path: ${dirPath}/${dataFileName}") - - // save updated data - if (cnt > 0) { - HdfsFileDumpUtil.dump(dataFilePath, rdd, rowSepLiteral) - println(s"update file path: ${dataFilePath}") - } else { - clearTmst(ms) - println(s"data source [${dsName}] timestamp [${ms}] cleared") - } - } catch { - case e: Throwable => error(s"update data error: ${e.getMessage}") - } finally { - rdd.unpersist() - } - } - } - - def updateData(arr: Iterable[String], ms: Long): Unit = { - if (!readOnly) { - val ptns = getPartition(ms) - val ptnsPath = genPartitionHdfsPath(ptns) - val dirPath = s"${filePath}/${ptnsPath}" - val dataFileName = s"${ms}" - val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) - - try { - val needSave = !arr.isEmpty - - // remove out time old data - HdfsFileDumpUtil.remove(dirPath, dataFileName, true) - println(s"remove file path: ${dirPath}/${dataFileName}") - - // save updated data - if (needSave) { - HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) - println(s"update file path: ${dataFilePath}") - } else { - clearTmst(ms) - println(s"data source [${dsName}] timestamp [${ms}] cleared") - } - } catch { - case e: Throwable => error(s"update data error: ${e.getMessage}") - } - } - } - - def updateDataMap(dfMap: Map[Long, DataFrame]): Unit = { - if (!readOnly) { - val dataMap = dfMap.map { pair => - val (t, recs) = pair - val rdd = recs.toJSON - // rdd.cache - (t, rdd, rdd.count) - } - - dataMap.foreach { pair => - val (t, arr, cnt) = pair - updateData(arr, t, cnt) - } - } - } - - def cleanOldData(): Unit = { - if (!readOnly) { - val oldCacheLocked = oldCacheLock.lock(-1, TimeUnit.SECONDS) - if (oldCacheLocked) { - try { - val cleanTime = readCleanTime() - cleanTime match { - case Some(ct) => { - println(s"data source [${dsName}] old timestamps clear until [${ct}]") - - // clear out date tmsts - clearTmstsUntil(ct) - - // drop partitions - val bounds = getPartition(ct) - - // list partition paths - val earlierPaths = listPathsEarlierThanBounds(filePath :: Nil, bounds) - - // delete out time data path - earlierPaths.foreach { path => - println(s"delete hdfs path: ${path}") - HdfsUtil.deleteHdfsPath(path) - } - } - case _ => { - // do nothing - } - } - } catch { - case e: Throwable => error(s"clean old data error: ${e.getMessage}") - } finally { - oldCacheLock.unlock() - } - } - } - } - - override protected def genCleanTime(ms: Long): Long = { - val minPartitionUnit = partitionUnits.last - val t1 = TimeUtil.timeToUnit(ms, minPartitionUnit) - val t2 = TimeUtil.timeFromUnit(t1, minPartitionUnit) - t2 - } - - private def getPartition(ms: Long): List[Long] = { - partitionUnits.map { unit => - TimeUtil.timeToUnit(ms, unit) - } - } - private def getPartitionRange(ms1: Long, ms2: Long): List[(Long, Long)] = { - partitionUnits.map { unit => - val t1 = TimeUtil.timeToUnit(ms1, unit) - val t2 = TimeUtil.timeToUnit(ms2, unit) - (t1, t2) - } - } - private def genPartitionHdfsPath(partition: List[Long]): String = { - partition.map(prtn => s"${prtn}").mkString("/") - } - private def str2Long(str: String): Option[Long] = { - try { - Some(str.toLong) - } catch { - case e: Throwable => None - } - } - - - // here the range means [min, max] - private def listPathsBetweenRanges(paths: List[String], - partitionRanges: List[(Long, Long)] - ): List[String] = { - partitionRanges match { - case Nil => paths - case head :: tail => { - val (lb, ub) = head - val curPaths = paths.flatMap { path => - val names = HdfsUtil.listSubPathsByType(path, "dir").toList - names.filter { name => - str2Long(name) match { - case Some(t) => (t >= lb) && (t <= ub) - case _ => false - } - }.map(HdfsUtil.getHdfsFilePath(path, _)) - } - listPathsBetweenRanges(curPaths, tail) - } - } - } - private def listPathsEarlierThanBounds(paths: List[String], bounds: List[Long] - ): List[String] = { - bounds match { - case Nil => paths - case head :: tail => { - val earlierPaths = paths.flatMap { path => - val names = HdfsUtil.listSubPathsByType(path, "dir").toList - names.filter { name => - str2Long(name) match { - case Some(t) => (t < head) - case _ => false - } - }.map(HdfsUtil.getHdfsFilePath(path, _)) - } - val equalPaths = paths.flatMap { path => - val names = HdfsUtil.listSubPathsByType(path, "dir").toList - names.filter { name => - str2Long(name) match { - case Some(t) => (t == head) - case _ => false - } - }.map(HdfsUtil.getHdfsFilePath(path, _)) - } - - tail match { - case Nil => earlierPaths - case _ => earlierPaths ::: listPathsEarlierThanBounds(equalPaths, tail) - } - } - } - } -} diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OrcDataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OrcDataSourceCache.scala new file mode 100644 index 000000000..7b92bef6d --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OrcDataSourceCache.scala @@ -0,0 +1,40 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import org.apache.spark.sql.{DataFrame, DataFrameReader, DataFrameWriter, SQLContext} + +case class OrcDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], + dsName: String, index: Int + ) extends DataSourceCache { + + override def init(): Unit = { +// sqlContext.sparkContext.hadoopConfiguration.set("parquet.enable.summary-metadata", "false"); + } + + def writeDataFrame(dfw: DataFrameWriter, path: String): Unit = { + println(s"write path: ${path}") + dfw.orc(path) + } + + def readDataFrame(dfr: DataFrameReader, path: String): DataFrame = { + dfr.orc(path) + } + +} diff --git a/measure/src/test/resources/_accuracy-streaming-griffindsl.json b/measure/src/test/resources/_accuracy-streaming-griffindsl.json index 29b0b888d..a0e2e7d4e 100644 --- a/measure/src/test/resources/_accuracy-streaming-griffindsl.json +++ b/measure/src/test/resources/_accuracy-streaming-griffindsl.json @@ -40,6 +40,7 @@ } ], "cache": { + "type": "parquet", "file.path": "hdfs://localhost/griffin/streaming/dump/source", "info.path": "source", "ready.time.interval": "10s", @@ -82,6 +83,7 @@ } ], "cache": { + "type": "parquet", "file.path": "hdfs://localhost/griffin/streaming/dump/target", "info.path": "target", "ready.time.interval": "10s", From 5b66665702df5d4f56bc1fd30a135307c6cd4484 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 31 Jan 2018 11:15:20 +0800 Subject: [PATCH 126/177] refactor --- .../data/source/DataSourceFactory.scala | 24 +- .../measure/persist/MultiPersists.scala | 8 - .../measure/process/StreamingDqThread.scala | 77 +- .../measure/process/engine/DqEngines.scala | 288 +------ .../process/engine/SparkDqEngine.scala | 224 +---- .../measure/rule/adaptor/GlobalKeys.scala | 48 -- .../rule/adaptor/GriffinDslAdaptor.scala | 767 +----------------- .../measure/rule/adaptor/RuleAdaptor.scala | 133 +-- .../measure/rule/plan/MetricExport.scala | 3 - .../measure/rule/plan/RecordExport.scala | 3 - .../measure/rule/plan/RuleExport.scala | 2 - .../rule/trans/AccuracyRulePlanTrans.scala | 198 +++++ .../trans/DistinctnessRulePlanTrans.scala | 234 ++++++ .../measure/rule/trans/DsUpdateFactory.scala | 37 + .../rule/trans/ProfilingRulePlanTrans.scala | 98 +++ .../rule/trans/RuleExportFactory.scala | 65 ++ .../measure/rule/trans/RulePlanTrans.scala | 57 ++ .../rule/trans/TimelinessRulePlanTrans.scala | 239 ++++++ .../rule/trans/UniquenessRulePlanTrans.scala | 198 +++++ 19 files changed, 1190 insertions(+), 1513 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/DsUpdateFactory.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/RuleExportFactory.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala index 9b578bfc1..e18c852a7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSourceFactory.scala @@ -19,12 +19,10 @@ under the License. package org.apache.griffin.measure.data.source import org.apache.griffin.measure.config.params.user._ -import org.apache.griffin.measure.data.connector.batch.BatchDataConnector -import org.apache.griffin.measure.data.connector.streaming.StreamingDataConnector -import org.apache.griffin.measure.data.connector.{DataConnector, DataConnectorFactory} +import org.apache.griffin.measure.data.connector.DataConnectorFactory import org.apache.griffin.measure.data.source.cache._ import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.process.engine.{DqEngine, DqEngines} +import org.apache.griffin.measure.process.engine._ import org.apache.spark.sql.SQLContext import org.apache.spark.streaming.StreamingContext @@ -56,27 +54,11 @@ object DataSourceFactory extends Loggable { case _ => None } } - val dataSourceCacheOpt = genDataSourceCache(sqlContext, cacheParam, name, index) + val dataSourceCacheOpt = DataSourceCacheFactory.genDataSourceCache(sqlContext, cacheParam, name, index) Some(DataSource(sqlContext, name, baseline, dataConnectors, dataSourceCacheOpt)) } - private def genDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], - name: String, index: Int - ) = { - if (param != null) { - try { - Some(ParquetDataSourceCache(sqlContext, param, name, index)) - } catch { - case e: Throwable => { - error(s"generate data source cache fails") - None - } - } - } else None - } - - private def trimDataSourceParams(dataSourceParams: Seq[DataSourceParam]): Seq[DataSourceParam] = { val (validDsParams, _) = dataSourceParams.foldLeft((Nil: Seq[DataSourceParam], Set[String]())) { (ret, dsParam) => diff --git a/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala b/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala index aa97afa62..bed28fd2e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/persist/MultiPersists.scala @@ -40,14 +40,6 @@ case class MultiPersists(persists: Iterable[Persist]) extends Persist { def start(msg: String): Unit = { persists.foreach(_.start(msg)) } def finish(): Unit = { persists.foreach(_.finish()) } -// def result(rt: Long, result: Result): Unit = { persists.foreach(_.result(rt, result)) } -// -// def records(recs: RDD[String], tp: String): Unit = { persists.foreach(_.records(recs, tp)) } -// def records(recs: Iterable[String], tp: String): Unit = { persists.foreach(_.records(recs, tp)) } - -// def missRecords(records: RDD[String]): Unit = { persists.foreach(_.missRecords(records)) } -// def matchRecords(records: RDD[String]): Unit = { persists.foreach(_.matchRecords(records)) } - def log(rt: Long, msg: String): Unit = { persists.foreach { persist => try { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index d9c0ac3f1..34a19aa56 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -63,79 +63,35 @@ case class StreamingDqThread(sqlContext: SQLContext, println(s"data source timeRanges: ${dsTimeRanges}") // generate rule steps -// val ruleSteps = RuleAdaptorGroup.genRuleSteps( -// CalcTimeInfo(st), evaluateRuleParam, dsTmsts) val rulePlan = RuleAdaptorGroup.genRulePlan( calcTimeInfo, evaluateRuleParam, StreamingProcessType, dsTimeRanges) - // optimize rule plan -// val optRulePlan = optimizeRulePlan(rulePlan, dsTmsts) - val optRulePlan = rulePlan - -// ruleSteps.foreach(println) - // run rules -// dqEngines.runRuleSteps(ruleSteps) - dqEngines.runRuleSteps(calcTimeInfo, optRulePlan.ruleSteps) + dqEngines.runRuleSteps(calcTimeInfo, rulePlan.ruleSteps) val ct = new Date().getTime val calculationTimeStr = s"calculation using time: ${ct - st} ms" -// println(calculationTimeStr) appPersist.log(ct, calculationTimeStr) // persist results -// val timeGroups = dqEngines.persistAllMetrics(ruleSteps, persistFactory) - dqEngines.persistAllMetrics(optRulePlan.metricExports, persistFactory) -// println(s"--- timeGroups: ${timeGroups}") + dqEngines.persistAllMetrics(rulePlan.metricExports, persistFactory) val rt = new Date().getTime val persistResultTimeStr = s"persist result using time: ${rt - ct} ms" appPersist.log(rt, persistResultTimeStr) // persist records - dqEngines.persistAllRecords(optRulePlan.recordExports, persistFactory, dataSources) + dqEngines.persistAllRecords(rulePlan.recordExports, persistFactory, dataSources) // update data sources - dqEngines.updateDataSources(optRulePlan.dsUpdates, dataSources) + dqEngines.updateDataSources(rulePlan.dsUpdates, dataSources) val et = new Date().getTime val persistTimeStr = s"persist records using time: ${et - rt} ms" appPersist.log(et, persistTimeStr) -// val dfs = dqEngines.collectUpdateRDDs(ruleSteps, timeGroups.toSet) -// dfs.foreach(_._2.cache()) -// dfs.foreach { pr => -// val (step, df) = pr -// val cnt = df.count -// println(s"step [${step.name}] group count: ${cnt}") -// } -// -// val lt = new Date().getTime -// val collectRddTimeStr = s"collect records using time: ${lt - rt} ms" -//// println(collectRddTimeStr) -// appPersist.log(lt, collectRddTimeStr) -// -// // persist records -// dqEngines.persistAllRecords(dfs, persistFactory) -//// dqEngines.persistAllRecords(ruleSteps, persistFactory, timeGroups) -// -// // update data source -// dqEngines.updateDataSources(dfs, dataSources) -//// dqEngines.updateDataSources(ruleSteps, dataSources, timeGroups) -// -// dfs.foreach(_._2.unpersist()) - TimeInfoCache.endTimeInfoCache -// sqlContext.tables().show(20) - - // cache global data -// val globalTables = TableRegisters.getRunGlobalTables -// globalTables.foreach { gt => -// val df = sqlContext.table(gt) -// df.cache -// } - // clean old data cleanData(calcTimeInfo) @@ -172,29 +128,4 @@ case class StreamingDqThread(sqlContext: SQLContext, } } - private def optimizeRulePlan(rulePlan: RulePlan, dsTmsts: Map[String, Set[Long]]): RulePlan = { - val steps = rulePlan.ruleSteps - val optExports = rulePlan.ruleExports.flatMap { export => - findRuleStepByName(steps, export.stepName).map { rs => - rs.details.get(ProcessDetailsKeys._baselineDataSource) match { - case Some(dsname: String) => { - val defTmstOpt = (dsTmsts.get(dsname)).flatMap { set => - try { Some(set.max) } catch { case _: Throwable => None } - } - defTmstOpt match { - case Some(t) => export.setDefTimestamp(t) - case _ => export - } - } - case _ => export - } - } - } - RulePlan(steps, optExports) - } - - private def findRuleStepByName(steps: Seq[RuleStep], name: String): Option[RuleStep] = { - steps.filter(_.name == name).headOption - } - } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala index f55f8839f..6b9a2153b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/DqEngines.scala @@ -23,7 +23,7 @@ import java.util.concurrent.atomic.AtomicInteger import org.apache.griffin.measure.config.params.user.DataSourceParam import org.apache.griffin.measure.data.source._ import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.persist.{Persist, PersistFactory} +import org.apache.griffin.measure.persist._ import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.process._ import org.apache.griffin.measure.rule.adaptor.InternalColumns @@ -33,10 +33,10 @@ import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row} -import scala.concurrent._ -import scala.concurrent.duration.Duration -import scala.util.{Failure, Success, Try} -import ExecutionContext.Implicits.global +//import scala.concurrent._ +//import scala.concurrent.duration.Duration +//import scala.util.{Failure, Success, Try} +//import ExecutionContext.Implicits.global case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { @@ -76,40 +76,40 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } - private def persistCollectedRecords(recordExport: RecordExport, records: Map[Long, DataFrame], - persistFactory: PersistFactory, dataSources: Seq[DataSource]): Unit = { - val pc = ParallelCounter(records.size) - val pro = promise[Boolean] - if (records.size > 0) { - records.foreach { pair => - val (tmst, df) = pair - val persist = persistFactory.getPersists(tmst) - val updateDsCaches = recordExport.dataSourceCacheOpt match { - case Some(dsName) => dataSources.filter(_.name == dsName).flatMap(_.dataSourceCacheOpt) - case _ => Nil - } - val future = Future { - persist.persistRecords(df, recordExport.name) -// updateDsCaches.foreach(_.updateData(df, tmst)) - updateDsCaches.foreach(_.updateData(Some(df))) - true - } - future.onComplete { - case Success(v) => { - pc.finishOne(v) - if (pc.checkDone) pro.trySuccess(pc.checkResult) - } - case Failure(ex) => { - println(s"plan step failure: ${ex.getMessage}") - pc.finishOne(false) - if (pc.checkDone) pro.trySuccess(pc.checkResult) - } - } - } - } else pro.trySuccess(true) - - Await.result(pro.future, Duration.Inf) - } +// private def persistCollectedRecords(recordExport: RecordExport, records: Map[Long, DataFrame], +// persistFactory: PersistFactory, dataSources: Seq[DataSource]): Unit = { +// val pc = ParallelCounter(records.size) +// val pro = promise[Boolean] +// if (records.size > 0) { +// records.foreach { pair => +// val (tmst, df) = pair +// val persist = persistFactory.getPersists(tmst) +// val updateDsCaches = recordExport.dataSourceCacheOpt match { +// case Some(dsName) => dataSources.filter(_.name == dsName).flatMap(_.dataSourceCacheOpt) +// case _ => Nil +// } +// val future = Future { +// persist.persistRecords(df, recordExport.name) +//// updateDsCaches.foreach(_.updateData(df, tmst)) +// updateDsCaches.foreach(_.updateData(Some(df))) +// true +// } +// future.onComplete { +// case Success(v) => { +// pc.finishOne(v) +// if (pc.checkDone) pro.trySuccess(pc.checkResult) +// } +// case Failure(ex) => { +// println(s"plan step failure: ${ex.getMessage}") +// pc.finishOne(false) +// if (pc.checkDone) pro.trySuccess(pc.checkResult) +// } +// } +// } +// } else pro.trySuccess(true) +// +// Await.result(pro.future, Duration.Inf) +// } def persistAllRecords(recordExports: Seq[RecordExport], persistFactory: PersistFactory, dataSources: Seq[DataSource] @@ -122,7 +122,6 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { // method 2: multi thread persist multi iterable recordExports.foreach { recordExport => -// val records = collectRecords(timeInfo, recordExport, procType) recordExport.mode match { case SimpleMode => { collectBatchRecords(recordExport).foreach { rdd => @@ -132,9 +131,6 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { case TimestampMode => { val (rddOpt, emptySet) = collectStreamingRecords(recordExport) persistCollectedStreamingRecords(recordExport, rddOpt, emptySet, persistFactory, dataSources) -// collectStreamingRecords(recordExport).foreach { rddPair => -// persistCollectedStreamingRecords(recordExport, rddPair._1, rddPair._2, persistFactory, dataSources) -// } } } } @@ -164,10 +160,10 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { emtpyRecordKeys: Set[Long], persistFactory: PersistFactory, dataSources: Seq[DataSource] ): Unit = { - val updateDsCaches = recordExport.dataSourceCacheOpt match { - case Some(dsName) => dataSources.filter(_.name == dsName).flatMap(_.dataSourceCacheOpt) - case _ => Nil - } +// val updateDsCaches = recordExport.dataSourceCacheOpt match { +// case Some(dsName) => dataSources.filter(_.name == dsName).flatMap(_.dataSourceCacheOpt) +// case _ => Nil +// } recordsOpt.foreach { records => records.foreach { pair => @@ -186,79 +182,6 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } -// private def persistCollectedStreamingRecords(recordExport: RecordExport, records: RDD[(Long, Iterable[String])], -// emtpyRecordKeys: Set[Long], persistFactory: PersistFactory, -// dataSources: Seq[DataSource] -// ): Unit = { -// val updateDsCaches = recordExport.dataSourceCacheOpt match { -// case Some(dsName) => dataSources.filter(_.name == dsName).flatMap(_.dataSourceCacheOpt) -// case _ => Nil -// } -// -// records.foreach { pair => -// val (tmst, strs) = pair -// val persist = persistFactory.getPersists(tmst) -// -// persist.persistRecords(strs, recordExport.name) -// updateDsCaches.foreach(_.updateData(strs, tmst)) -// } -// -// emtpyRecordKeys.foreach { t => -// val persist = persistFactory.getPersists(t) -// persist.persistRecords(Nil, recordExport.name) -// updateDsCaches.foreach(_.updateData(Nil, t)) -// } -// } - -// def persistAllRecords(ruleSteps: Seq[ConcreteRuleStep], persistFactory: PersistFactory, -// timeGroups: Iterable[Long]): Unit = { -// val recordSteps = ruleSteps.filter(_.persistType == RecordPersistType) -// recordSteps.foreach { step => -// collectRecords(step, timeGroups) match { -// case Some(rdd) => { -// val name = step.name -// rdd.foreach { pair => -// val (t, items) = pair -// val persist = persistFactory.getPersists(t) -// persist.persistRecords(items, name) -// } -// } -// case _ => { -// println(s"empty records to persist") -// } -// } -// } -// } -// -// def updateDataSources(ruleSteps: Seq[ConcreteRuleStep], dataSources: Seq[DataSource], -// timeGroups: Iterable[Long]): Unit = { -// val updateSteps = ruleSteps.filter(_.updateDataSource.nonEmpty) -// updateSteps.foreach { step => -// collectUpdateCacheDatas(step, timeGroups) match { -// case Some(rdd) => { -// val udpateDataSources = dataSources.filter { ds => -// step.updateDataSource match { -// case Some(dsName) if (dsName == ds.name) => true -// case _ => false -// } -// } -// if (udpateDataSources.size > 0) { -// val name = step.name -// rdd.foreach { pair => -// val (t, items) = pair -// udpateDataSources.foreach { ds => -// ds.dataSourceCacheOpt.foreach(_.updateData(items, t)) -// } -// } -// } -// } -// case _ => { -// println(s"empty data source to update") -// } -// } -// } -// } - /////////////////////////// def runRuleStep(timeInfo: TimeInfo, ruleStep: RuleStep): Boolean = { @@ -271,16 +194,6 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { /////////////////////////// -// def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] = { -// engines.flatMap { engine => -// engine.collectRecords(ruleStep, timeGroups) -// }.headOption -// } -// def collectUpdateCacheDatas(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] = { -// engines.flatMap { engine => -// engine.collectUpdateCacheDatas(ruleStep, timeGroups) -// }.headOption -// } def collectMetrics(metricExport: MetricExport ): Map[Long, Map[String, Any]] = { val ret = engines.foldLeft(Map[Long, Map[String, Any]]()) { (ret, engine) => @@ -289,78 +202,6 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { ret } -// def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport): Map[Long, DataFrame] = { -// val ret = engines.foldLeft(Map[Long, DataFrame]()) { (ret, engine) => -// if (ret.nonEmpty) ret else engine.collectRecords(timeInfo, recordExport) -// } -// ret -// } - - def collectUpdateRDD(ruleStep: RuleStep): Option[DataFrame] = { -// engines.flatMap { engine => -// engine.collectUpdateRDD(ruleStep) -// }.headOption - None - } - -// def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long] -// ): Option[RDD[(Long, Iterable[String])]] = { -// engines.flatMap { engine => -// engine.collectUpdateRDD(ruleStep, timeGroups) -// }.headOption -// } - - //////////////////////////// - - def collectUpdateRDDs(ruleSteps: Seq[RuleStep], timeGroups: Set[Long] - ): Seq[(RuleStep, DataFrame)] = { -// ruleSteps.flatMap { rs => -// val t = rs.timeInfo.tmst -// if (timeGroups.contains(t)) { -// collectUpdateRDD(rs).map((rs, _)) -// } else None -// } - Nil - } - -// def collectUpdateRDDs(ruleSteps: Seq[ConcreteRuleStep], timeGroups: Iterable[Long] -// ): Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])] = { -// ruleSteps.flatMap { rs => -// collectUpdateRDD(rs, timeGroups) match { -// case Some(rdd) => Some((rs, rdd)) -// case _ => None -// } -// } -// } - - def persistAllRecords(stepRdds: Seq[(RuleStep, DataFrame)], - persistFactory: PersistFactory): Unit = { -// stepRdds.foreach { stepRdd => -// val (step, df) = stepRdd -// if (step.ruleInfo.persistType == RecordPersistType) { -// val name = step.ruleInfo.name -// val t = step.timeInfo.tmst -// val persist = persistFactory.getPersists(t) -// persist.persistRecords(df, name) -// } -// } - } - -// def persistAllRecords(stepRdds: Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])], -// persistFactory: PersistFactory): Unit = { -// stepRdds.foreach { stepRdd => -// val (step, rdd) = stepRdd -// if (step.ruleInfo.persistType == RecordPersistType) { -// val name = step.name -// rdd.foreach { pair => -// val (t, items) = pair -// val persist = persistFactory.getPersists(t) -// persist.persistRecords(items, name) -// } -// } -// } -// } - def collectUpdateDf(dsUpdate: DsUpdate): Option[DataFrame] = { val ret = engines.foldLeft(None: Option[DataFrame]) { (ret, engine) => if (ret.nonEmpty) ret else engine.collectUpdateDf(dsUpdate) @@ -383,49 +224,6 @@ case class DqEngines(engines: Seq[DqEngine]) extends DqEngine { } } -// def updateDataSources(stepRdds: Seq[(RuleStep, DataFrame)], -// dataSources: Seq[DataSource]): Unit = { -//// stepRdds.foreach { stepRdd => -//// val (step, df) = stepRdd -//// if (step.ruleInfo.cacheDataSourceOpt.nonEmpty) { -//// val udpateDsCaches = dataSources.filter { ds => -//// step.ruleInfo.cacheDataSourceOpt match { -//// case Some(dsName) if (dsName == ds.name) => true -//// case _ => false -//// } -//// }.flatMap(_.dataSourceCacheOpt) -//// if (udpateDsCaches.size > 0) { -//// val t = step.timeInfo.tmst -//// udpateDsCaches.foreach(_.updateData(df, t)) -//// } -//// } -//// } -// } - -// def updateDataSources(stepRdds: Seq[(ConcreteRuleStep, RDD[(Long, Iterable[String])])], -// dataSources: Seq[DataSource]): Unit = { -// stepRdds.foreach { stepRdd => -// val (step, rdd) = stepRdd -// if (step.ruleInfo.cacheDataSourceOpt.nonEmpty) { -// val udpateDataSources = dataSources.filter { ds => -// step.ruleInfo.cacheDataSourceOpt match { -// case Some(dsName) if (dsName == ds.name) => true -// case _ => false -// } -// } -// if (udpateDataSources.size > 0) { -// val name = step.name -// rdd.foreach { pair => -// val (t, items) = pair -// udpateDataSources.foreach { ds => -// ds.dataSourceCacheOpt.foreach(_.updateData(items, t)) -// } -// } -// } -// } -// } -// } - } case class ParallelCounter(total: Int) extends Serializable { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala index 150cb5f1d..382e302f3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkDqEngine.scala @@ -18,9 +18,6 @@ under the License. */ package org.apache.griffin.measure.process.engine -import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} -import org.apache.griffin.measure.data.source.DataSource -import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process._ import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.rule.dsl._ @@ -102,7 +99,6 @@ trait SparkDqEngine extends DqEngine { } else emptyMetricMap } - private def getTmst(row: Row, defTmst: Long): Long = { try { row.getAs[Long](InternalColumns.tmst) @@ -111,46 +107,9 @@ trait SparkDqEngine extends DqEngine { } } -// def collectRecords(timeInfo: TimeInfo, recordExport: RecordExport): Map[Long, DataFrame] = { -// if (collectable) { -// val RecordExport(_, stepName, _, originDFOpt, defTmst, procType) = recordExport -// val stepDf = sqlContext.table(s"`${stepName}`") -// val recordsDf = originDFOpt match { -// case Some(originName) => sqlContext.table(s"`${originName}`") -// case _ => stepDf -// } -// -// procType match { -// case BatchProcessType => { -// val recordsDf = sqlContext.table(s"`${stepName}`") -// emptyRecordMap + (defTmst -> recordsDf) -// } -// case StreamingProcessType => { -// originDFOpt match { -// case Some(originName) => { -// val recordsDf = sqlContext.table(s"`${originName}`") -// stepDf.map { row => -// val tmst = getTmst(row, defTmst) -// val trdf = if (recordsDf.columns.contains(InternalColumns.tmst)) { -// recordsDf.filter(s"`${InternalColumns.tmst}` = ${tmst}") -// } else recordsDf -// (tmst, trdf) -// }.collect.toMap -// } -// case _ => { -// val recordsDf = stepDf -// emptyRecordMap + (defTmst -> recordsDf) -// } -// } -// } -// } -// } else emptyRecordMap -// } - private def getRecordDataFrame(recordExport: RecordExport): Option[DataFrame] = { if (collectable) { - val RecordExport(_, stepName, _, _, defTmst, procType) = recordExport - val stepDf = sqlContext.table(s"`${stepName}`") + val stepDf = sqlContext.table(s"`${recordExport.stepName}`") Some(stepDf) } else None } @@ -210,52 +169,6 @@ trait SparkDqEngine extends DqEngine { } case _ => (None, Set[Long]()) } -// val recordsOpt = getRecordDataFrame(recordExport).flatMap { stepDf => -// originDFOpt match { -// case Some(originName) => { -// val tmsts = (stepDf.collect.flatMap { row => -// try { -// val tmst = row.getAs[Long](InternalColumns.tmst) -// val empty = row.getAs[Boolean](InternalColumns.empty) -// Some((tmst, empty)) -// } catch { -// case _: Throwable => None -// } -// }) -// val emptyTmsts = tmsts.filter(_._2).map(_._1).toSet -// val recordTmsts = tmsts.filter(!_._2).map(_._1).toSet -// if (recordTmsts.size > 0) { -// val recordsDf = sqlContext.table(s"`${originName}`") -// val records = recordsDf.flatMap { row => -// val tmst = row.getAs[Long](InternalColumns.tmst) -// if (recordTmsts.contains(tmst)) { -// try { -// val map = SparkRowFormatter.formatRow(row) -// val str = JsonUtil.toJson(map) -// Some((tmst, str)) -// } catch { -// case e: Throwable => None -// } -// } else None -// } -// Some((Some(records.groupByKey), emptyTmsts)) -// } else Some((None, emptyTmsts)) -// } -// case _ => { -// val records = stepDf.flatMap { row => -// val tmst = row.getAs[Long](InternalColumns.tmst) -// try { -// val map = SparkRowFormatter.formatRow(row) -// val str = JsonUtil.toJson(map) -// Some((tmst, str)) -// } catch { -// case e: Throwable => None -// } -// } -// Some(records.groupByKey) -// } -// } -// } } def collectUpdateDf(dsUpdate: DsUpdate): Option[DataFrame] = { @@ -266,139 +179,4 @@ trait SparkDqEngine extends DqEngine { } else None } -// -// def collectUpdateRDD(ruleStep: ConcreteRuleStep): Option[DataFrame] = { -// if (collectable) { -// ruleStep match { -// case step: ConcreteRuleStep if ((step.ruleInfo.persistType == RecordPersistType) -// || (step.ruleInfo.cacheDataSourceOpt.nonEmpty)) => { -// val tmst = step.timeInfo.tmst -//// val metricName = step.ruleInfo.name -// -// step.ruleInfo.tmstNameOpt match { -// case Some(metricTmstName) => { -// try { -// val pdf = sqlContext.table(s"`${metricTmstName}`") -// Some(pdf) -// } catch { -// case e: Throwable => { -// error(s"collect records ${metricTmstName} error: ${e.getMessage}") -// None -// } -// } -// } -// case _ => None -// } -// } -// case _ => None -// } -// } else None -// } - - - - - -// def collectUpdateRDD(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long] -// ): Option[RDD[(Long, Iterable[String])]] = { -// if (collectable) { -// ruleStep match { -// case step: ConcreteRuleStep if ((step.ruleInfo.persistType == RecordPersistType) -// || (step.ruleInfo.cacheDataSourceOpt.nonEmpty)) => { -// val tmst = step.timeInfo.tmst -// val metricName = step.ruleInfo.name -// -// step.ruleInfo.tmstNameOpt match { -// case Some(metricTmstName) => { -// try { -// val pdf = sqlContext.table(s"`${metricTmstName}`") -// val cols = pdf.columns -// val rdd = pdf.flatMap { row => -// val values = cols.flatMap { col => -// Some((col, row.getAs[Any](col))) -// }.toMap -// values.get(GroupByColumn.tmst) match { -// case Some(t: Long) if (timeGroups.exists(_ == t)) => Some((t, JsonUtil.toJson(values))) -// case _ => None -// } -// }.groupByKey() -// -// // find other keys in time groups, create empty records for those timestamps -// val existKeys = rdd.keys.collect -// val otherKeys = timeGroups.filter(t => !existKeys.exists(_ == t)) -// val otherPairs = otherKeys.map((_, Iterable[String]())).toSeq -// val otherPairRdd = sqlContext.sparkContext.parallelize(otherPairs) -// -// Some(rdd union otherPairRdd) -// } catch { -// case e: Throwable => { -// error(s"collect records ${metricTmstName} error: ${e.getMessage}") -// None -// } -// } -// } -// case _ => None -// } -// } -// case _ => None -// } -// } else None -// } - -// def collectRecords(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] = { -// ruleStep match { -// case step: ConcreteRuleStep if (step.persistType == RecordPersistType) => { -// val name = step.name -// try { -// val pdf = sqlContext.table(s"`${name}`") -// val cols = pdf.columns -// val rdd = pdf.flatMap { row => -// val values = cols.flatMap { col => -// Some((col, row.getAs[Any](col))) -// }.toMap -// values.get(GroupByColumn.tmst) match { -// case Some(t: Long) if (timeGroups.exists(_ == t)) => Some((t, JsonUtil.toJson(values))) -// case _ => None -// } -// }.groupByKey() -// Some(rdd) -// } catch { -// case e: Throwable => { -// error(s"collect records ${name} error: ${e.getMessage}") -// None -// } -// } -// } -// case _ => None -// } -// } -// -// def collectUpdateCacheDatas(ruleStep: ConcreteRuleStep, timeGroups: Iterable[Long]): Option[RDD[(Long, Iterable[String])]] = { -// ruleStep match { -// case step: ConcreteRuleStep if (step.updateDataSource.nonEmpty) => { -// val name = step.name -// try { -// val pdf = sqlContext.table(s"`${name}`") -// val cols = pdf.columns -// val rdd = pdf.flatMap { row => -// val values = cols.flatMap { col => -// Some((col, row.getAs[Any](col))) -// }.toMap -// values.get(GroupByColumn.tmst) match { -// case Some(t: Long) if (timeGroups.exists(_ == t)) => Some((t, JsonUtil.toJson(values))) -// case _ => None -// } -// }.groupByKey() -// Some(rdd) -// } catch { -// case e: Throwable => { -// error(s"collect update cache datas ${name} error: ${e.getMessage}") -// None -// } -// } -// } -// case _ => None -// } -// } - } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala index bd27b1937..f6f35dad0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GlobalKeys.scala @@ -18,54 +18,6 @@ under the License. */ package org.apache.griffin.measure.rule.adaptor -object AccuracyKeys { - val _source = "source" - val _target = "target" - val _miss = "miss" - val _total = "total" - val _matched = "matched" - // val _missRecords = "missRecords" -} - -object ProfilingKeys { - val _source = "source" -} - -object UniquenessKeys { - val _source = "source" - val _target = "target" - val _unique = "unique" - val _total = "total" - val _dup = "dup" - val _num = "num" - - val _duplicationArray = "duplication.array" -} - -object DistinctnessKeys { - val _source = "source" - val _target = "target" - val _distinct = "distinct" - val _total = "total" - val _dup = "dup" - val _accu_dup = "accu_dup" - val _num = "num" - - val _duplicationArray = "duplication.array" - val _withAccumulate = "with.accumulate" -} - -object TimelinessKeys { - val _source = "source" - val _latency = "latency" - val _total = "total" - val _avg = "avg" - val _threshold = "threshold" - val _step = "step" - val _count = "count" - val _stepSize = "step.size" -} - object GlobalKeys { val _initRule = "init.rule" } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index e8f8afd57..3b4ec31c8 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -18,17 +18,11 @@ under the License. */ package org.apache.griffin.measure.rule.adaptor -import org.apache.griffin.measure.cache.tmst.{TempName, TmstCache} -import org.apache.griffin.measure.process.engine.DataFrameOprs.AccuracyOprKeys -import org.apache.griffin.measure.process.temp.{TableRegisters, TimeRange} +import org.apache.griffin.measure.process.temp._ import org.apache.griffin.measure.process._ -import org.apache.griffin.measure.rule.dsl._ -import org.apache.griffin.measure.rule.dsl.analyzer._ -import org.apache.griffin.measure.rule.dsl.expr._ import org.apache.griffin.measure.rule.dsl.parser.GriffinDslParser import org.apache.griffin.measure.rule.plan.{TimeInfo, _} -import org.apache.griffin.measure.utils.ParamUtil._ -import org.apache.griffin.measure.utils.TimeUtil +import org.apache.griffin.measure.rule.trans._ case class GriffinDslAdaptor(dataSourceNames: Seq[String], functionNames: Seq[String] @@ -42,7 +36,6 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val parser = GriffinDslParser(dataSourceNames, filteredFunctionNames) private val emptyRulePlan = RulePlan(Nil, Nil) - private val emptyMap = Map[String, Any]() override def genRulePlan(timeInfo: TimeInfo, param: Map[String, Any], processType: ProcessType, dsTimeRanges: Map[String, TimeRange] @@ -54,14 +47,9 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val result = parser.parseRule(rule, dqType) if (result.successful) { val expr = result.get - dqType match { - case AccuracyType => accuracyRulePlan(timeInfo, name, expr, param, processType) - case ProfilingType => profilingRulePlan(timeInfo, name, expr, param, processType) - case UniquenessType => uniquenessRulePlan(timeInfo, name, expr, param, processType) - case DistinctnessType => distinctRulePlan(timeInfo, name, expr, param, processType, dsTimeRanges) - case TimelinessType => timelinessRulePlan(timeInfo, name, expr, param, processType) - case _ => emptyRulePlan - } + val rulePlanTrans = RulePlanTrans(dqType, dataSourceNames, timeInfo, + name, expr, param, processType, dsTimeRanges) + rulePlanTrans.trans } else { warn(s"parse rule [ ${rule} ] fails: \n${result}") emptyRulePlan @@ -74,749 +62,4 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], } } - // with accuracy opr - private def accuracyRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], procType: ProcessType - ): RulePlan = { - val details = getDetails(param) - val sourceName = details.getString(AccuracyKeys._source, dataSourceNames.head) - val targetName = details.getString(AccuracyKeys._target, dataSourceNames.tail.head) - val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) - - val mode = ExportMode.defaultMode(procType) - - val ct = timeInfo.calcTime - - if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { - println(s"[${ct}] data source ${sourceName} not exists") - emptyRulePlan - } else { - // 1. miss record - val missRecordsTableName = "__missRecords" - val selClause = s"`${sourceName}`.*" - val missRecordsSql = if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { - println(s"[${ct}] data source ${targetName} not exists") - s"SELECT ${selClause} FROM `${sourceName}`" - } else { - val onClause = expr.coalesceDesc - val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => - s"${sel.desc} IS NULL" - }.mkString(" AND ") - val targetIsNull = analyzer.targetSelectionExprs.map { sel => - s"${sel.desc} IS NULL" - }.mkString(" AND ") - val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" - s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" - } - val missRecordsStep = SparkSqlStep(missRecordsTableName, missRecordsSql, emptyMap, true) - val missRecordsExports = procType match { - case BatchProcessType => { - val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - genRecordExport(recordParam, missRecordsTableName, missRecordsTableName, ct, mode) :: Nil - } - case StreamingProcessType => Nil - } - val missRecordsUpdates = procType match { - case BatchProcessType => Nil - case StreamingProcessType => { - val updateParam = emptyMap - genDsUpdate(updateParam, sourceName, missRecordsTableName) :: Nil - } - } - - // 2. miss count - val missCountTableName = "__missCount" - val missColName = details.getStringOrKey(AccuracyKeys._miss) - val missCountSql = procType match { - case BatchProcessType => s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}`" - case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}` GROUP BY `${InternalColumns.tmst}`" - } - val missCountStep = SparkSqlStep(missCountTableName, missCountSql, emptyMap) - - // 3. total count - val totalCountTableName = "__totalCount" - val totalColName = details.getStringOrKey(AccuracyKeys._total) - val totalCountSql = procType match { - case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" - case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}`" - } - val totalCountStep = SparkSqlStep(totalCountTableName, totalCountSql, emptyMap) - - // 4. accuracy metric - val accuracyTableName = name - val matchedColName = details.getStringOrKey(AccuracyKeys._matched) - val accuracyMetricSql = procType match { - case BatchProcessType => { - s""" - |SELECT `${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, - |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, - |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` - |FROM `${totalCountTableName}` LEFT JOIN `${missCountTableName}` - """.stripMargin - } - case StreamingProcessType => { - s""" - |SELECT `${totalCountTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, - |`${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, - |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, - |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` - |FROM `${totalCountTableName}` LEFT JOIN `${missCountTableName}` - |ON `${totalCountTableName}`.`${InternalColumns.tmst}` = `${missCountTableName}`.`${InternalColumns.tmst}` - """.stripMargin - } - } - val accuracyStep = SparkSqlStep(accuracyTableName, accuracyMetricSql, emptyMap) - val accuracyExports = procType match { - case BatchProcessType => { - val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - genMetricExport(metricParam, accuracyTableName, accuracyTableName, ct, mode) :: Nil - } - case StreamingProcessType => Nil - } - - // current accu plan - val accuSteps = missRecordsStep :: missCountStep :: totalCountStep :: accuracyStep :: Nil - val accuExports = missRecordsExports ++ accuracyExports - val accuUpdates = missRecordsUpdates - val accuPlan = RulePlan(accuSteps, accuExports, accuUpdates) - - // streaming extra accu plan - val streamingAccuPlan = procType match { - case BatchProcessType => emptyRulePlan - case StreamingProcessType => { - // 5. accuracy metric merge - val accuracyMetricTableName = "__accuracy" - val accuracyMetricRule = "accuracy" - val accuracyMetricDetails = Map[String, Any]( - (AccuracyOprKeys._dfName -> accuracyTableName), - (AccuracyOprKeys._miss -> missColName), - (AccuracyOprKeys._total -> totalColName), - (AccuracyOprKeys._matched -> matchedColName) - ) - val accuracyMetricStep = DfOprStep(accuracyMetricTableName, - accuracyMetricRule, accuracyMetricDetails) - val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val accuracyMetricExports = genMetricExport(metricParam, name, accuracyMetricTableName, ct, mode) :: Nil - - // 6. collect accuracy records - val accuracyRecordTableName = "__accuracyRecords" - val accuracyRecordSql = { - s""" - |SELECT `${InternalColumns.tmst}`, `${InternalColumns.empty}` - |FROM `${accuracyMetricTableName}` WHERE `${InternalColumns.record}` - """.stripMargin - } - val accuracyRecordStep = SparkSqlStep(accuracyRecordTableName, accuracyRecordSql, emptyMap) - val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val accuracyRecordParam = recordParam.addIfNotExist(ExportParamKeys._dataSourceCache, sourceName) - .addIfNotExist(ExportParamKeys._originDF, missRecordsTableName) - val accuracyRecordExports = genRecordExport( - accuracyRecordParam, missRecordsTableName, accuracyRecordTableName, ct, mode) :: Nil - - // gen accu plan - val extraSteps = accuracyMetricStep :: accuracyRecordStep :: Nil - val extraExports = accuracyMetricExports ++ accuracyRecordExports - val extraPlan = RulePlan(extraSteps, extraExports) - - extraPlan - } - } - - // return accu plan - accuPlan.merge(streamingAccuPlan) - - } - } - - private def profilingRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], procType: ProcessType - ): RulePlan = { - val details = getDetails(param) - val profilingClause = expr.asInstanceOf[ProfilingClause] - val sourceName = profilingClause.fromClauseOpt match { - case Some(fc) => fc.dataSource - case _ => details.getString(ProfilingKeys._source, dataSourceNames.head) - } - val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc - - val mode = ExportMode.defaultMode(procType) - - val ct = timeInfo.calcTime - - if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { - emptyRulePlan - } else { - val analyzer = ProfilingAnalyzer(profilingClause, sourceName) - val selExprDescs = analyzer.selectionExprs.map { sel => - val alias = sel match { - case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" - case _ => "" - } - s"${sel.desc}${alias}" - } - val selCondition = profilingClause.selectClause.extraConditionOpt.map(_.desc).mkString - val selClause = procType match { - case BatchProcessType => selExprDescs.mkString(", ") - case StreamingProcessType => (s"`${InternalColumns.tmst}`" +: selExprDescs).mkString(", ") - } - val groupByClauseOpt = analyzer.groupbyExprOpt - val groupbyClause = procType match { - case BatchProcessType => groupByClauseOpt.map(_.desc).getOrElse("") - case StreamingProcessType => { - val tmstGroupbyClause = GroupbyClause(LiteralStringExpr(s"`${InternalColumns.tmst}`") :: Nil, None) - val mergedGroubbyClause = tmstGroupbyClause.merge(groupByClauseOpt match { - case Some(gbc) => gbc - case _ => GroupbyClause(Nil, None) - }) - mergedGroubbyClause.desc - } - } - val preGroupbyClause = analyzer.preGroupbyExprs.map(_.desc).mkString(" ") - val postGroupbyClause = analyzer.postGroupbyExprs.map(_.desc).mkString(" ") - - // 1. select statement - val profilingSql = { - s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" - } - val profilingName = name - val profilingStep = SparkSqlStep(profilingName, profilingSql, details) - val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val profilingExports = genMetricExport(metricParam, name, profilingName, ct, mode) :: Nil - - RulePlan(profilingStep :: Nil, profilingExports) - } - } - - private def uniquenessRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], procType: ProcessType - ): RulePlan = { - val details = getDetails(param) - val sourceName = details.getString(UniquenessKeys._source, dataSourceNames.head) - val targetName = details.getString(UniquenessKeys._target, dataSourceNames.tail.head) - val analyzer = UniquenessAnalyzer(expr.asInstanceOf[UniquenessClause], sourceName, targetName) - - val mode = ExportMode.defaultMode(procType) - - val ct = timeInfo.calcTime - - if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { - println(s"[${ct}] data source ${sourceName} not exists") - emptyRulePlan - } else if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { - println(s"[${ct}] data source ${targetName} not exists") - emptyRulePlan - } else { - val selItemsClause = analyzer.selectionPairs.map { pair => - val (expr, alias) = pair - s"${expr.desc} AS `${alias}`" - }.mkString(", ") - val aliases = analyzer.selectionPairs.map(_._2) - - val selClause = procType match { - case BatchProcessType => selItemsClause - case StreamingProcessType => s"`${InternalColumns.tmst}`, ${selItemsClause}" - } - val selAliases = procType match { - case BatchProcessType => aliases - case StreamingProcessType => InternalColumns.tmst +: aliases - } - - // 1. source distinct mapping - val sourceTableName = "__source" - val sourceSql = s"SELECT DISTINCT ${selClause} FROM ${sourceName}" - val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) - - // 2. target mapping - val targetTableName = "__target" - val targetSql = s"SELECT ${selClause} FROM ${targetName}" - val targetStep = SparkSqlStep(targetTableName, targetSql, emptyMap) - - // 3. joined - val joinedTableName = "__joined" - val joinedSelClause = selAliases.map { alias => - s"`${sourceTableName}`.`${alias}` AS `${alias}`" - }.mkString(", ") - val onClause = aliases.map { alias => - s"coalesce(`${sourceTableName}`.`${alias}`, '') = coalesce(`${targetTableName}`.`${alias}`, '')" - }.mkString(" AND ") - val joinedSql = { - s"SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` ON ${onClause}" - } - val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) - - // 4. group - val groupTableName = "__group" - val groupSelClause = selAliases.map { alias => - s"`${alias}`" - }.mkString(", ") - val dupColName = details.getStringOrKey(UniquenessKeys._dup) - val groupSql = { - s"SELECT ${groupSelClause}, (COUNT(*) - 1) AS `${dupColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" - } - val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap, true) - - // 5. total metric - val totalTableName = "__totalMetric" - val totalColName = details.getStringOrKey(UniquenessKeys._total) - val totalSql = procType match { - case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" - case StreamingProcessType => { - s""" - |SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` - |FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}` - """.stripMargin - } - } - val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) - val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, ct, mode) - - // 6. unique record - val uniqueRecordTableName = "__uniqueRecord" - val uniqueRecordSql = { - s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` = 0" - } - val uniqueRecordStep = SparkSqlStep(uniqueRecordTableName, uniqueRecordSql, emptyMap) - - // 7. unique metric - val uniqueTableName = "__uniqueMetric" - val uniqueColName = details.getStringOrKey(UniquenessKeys._unique) - val uniqueSql = procType match { - case BatchProcessType => s"SELECT COUNT(*) AS `${uniqueColName}` FROM `${uniqueRecordTableName}`" - case StreamingProcessType => { - s""" - |SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${uniqueColName}` - |FROM `${uniqueRecordTableName}` GROUP BY `${InternalColumns.tmst}` - """.stripMargin - } - } - val uniqueStep = SparkSqlStep(uniqueTableName, uniqueSql, emptyMap) - val uniqueMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val uniqueMetricExport = genMetricExport(uniqueMetricParam, uniqueColName, uniqueTableName, ct, mode) - - val uniqueSteps = sourceStep :: targetStep :: joinedStep :: groupStep :: - totalStep :: uniqueRecordStep :: uniqueStep :: Nil - val uniqueExports = totalMetricExport :: uniqueMetricExport :: Nil - val uniqueRulePlan = RulePlan(uniqueSteps, uniqueExports) - - val duplicationArrayName = details.getString(UniquenessKeys._duplicationArray, "") - val dupRulePlan = if (duplicationArrayName.nonEmpty) { - // 8. duplicate record - val dupRecordTableName = "__dupRecords" - val dupRecordSql = { - s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" - } - val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) - val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val dupRecordExport = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName, ct, mode) - - // 9. duplicate metric - val dupMetricTableName = "__dupMetric" - val numColName = details.getStringOrKey(UniquenessKeys._num) - val dupMetricSelClause = procType match { - case BatchProcessType => s"`${dupColName}`, COUNT(*) AS `${numColName}`" - case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`, COUNT(*) AS `${numColName}`" - } - val dupMetricGroupbyClause = procType match { - case BatchProcessType => s"`${dupColName}`" - case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`" - } - val dupMetricSql = { - s""" - |SELECT ${dupMetricSelClause} FROM `${dupRecordTableName}` - |GROUP BY ${dupMetricGroupbyClause} - """.stripMargin - } - val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) - val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct, mode) - - RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) - } else emptyRulePlan - - uniqueRulePlan.merge(dupRulePlan) - } - } - - private def distinctRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], procType: ProcessType, - dsTimeRanges: Map[String, TimeRange] - ): RulePlan = { - val details = getDetails(param) - val sourceName = details.getString(DistinctnessKeys._source, dataSourceNames.head) - val targetName = details.getString(UniquenessKeys._target, dataSourceNames.tail.head) - val analyzer = DistinctnessAnalyzer(expr.asInstanceOf[DistinctnessClause], sourceName) - - val mode = SimpleMode - - val ct = timeInfo.calcTime - - val sourceTimeRange = dsTimeRanges.get(sourceName).getOrElse(TimeRange(ct)) - val beginTime = sourceTimeRange.begin - - if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { - println(s"[${ct}] data source ${sourceName} not exists") - emptyRulePlan - } else { - val withOlderTable = { - details.getBoolean(DistinctnessKeys._withAccumulate, true) && - TableRegisters.existRunTempTable(timeInfo.key, targetName) - } - - val selClause = analyzer.selectionPairs.map { pair => - val (expr, alias) = pair - s"${expr.desc} AS `${alias}`" - }.mkString(", ") - val aliases = analyzer.selectionPairs.map(_._2) - val aliasesClause = aliases.map( a => s"`${a}`" ).mkString(", ") - - // 1. source alias - val sourceAliasTableName = "__sourceAlias" - val sourceAliasSql = { - s"SELECT ${selClause} FROM `${sourceName}`" - } - val sourceAliasStep = SparkSqlStep(sourceAliasTableName, sourceAliasSql, emptyMap, true) - - // 2. total metric - val totalTableName = "__totalMetric" - val totalColName = details.getStringOrKey(DistinctnessKeys._total) - val totalSql = { - s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceAliasTableName}`" - } - val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) - val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, beginTime, mode) - - // 3. group by self - val selfGroupTableName = "__selfGroup" - val dupColName = details.getStringOrKey(DistinctnessKeys._dup) - val accuDupColName = details.getStringOrKey(DistinctnessKeys._accu_dup) - val selfGroupSql = { - s""" - |SELECT ${aliasesClause}, (COUNT(*) - 1) AS `${dupColName}`, - |TRUE AS `${InternalColumns.distinct}` - |FROM `${sourceAliasTableName}` GROUP BY ${aliasesClause} - """.stripMargin - } - val selfGroupStep = SparkSqlStep(selfGroupTableName, selfGroupSql, emptyMap, true) - - val selfDistRulePlan = RulePlan( - sourceAliasStep :: totalStep :: selfGroupStep :: Nil, - totalMetricExport :: Nil - ) - - val (distRulePlan, dupCountTableName) = procType match { - case StreamingProcessType if (withOlderTable) => { - // 4. older alias - val olderAliasTableName = "__older" - val olderAliasSql = { - s"SELECT ${selClause} FROM `${targetName}` WHERE `${InternalColumns.tmst}` < ${beginTime}" - } - val olderAliasStep = SparkSqlStep(olderAliasTableName, olderAliasSql, emptyMap) - - // 5. join with older data - val joinedTableName = "__joined" - val selfSelClause = (aliases :+ dupColName).map { alias => - s"`${selfGroupTableName}`.`${alias}`" - }.mkString(", ") - val onClause = aliases.map { alias => - s"coalesce(`${selfGroupTableName}`.`${alias}`, '') = coalesce(`${olderAliasTableName}`.`${alias}`, '')" - }.mkString(" AND ") - val olderIsNull = aliases.map { alias => - s"`${olderAliasTableName}`.`${alias}` IS NULL" - }.mkString(" AND ") - val joinedSql = { - s""" - |SELECT ${selfSelClause}, (${olderIsNull}) AS `${InternalColumns.distinct}` - |FROM `${olderAliasTableName}` RIGHT JOIN `${selfGroupTableName}` - |ON ${onClause} - """.stripMargin - } - val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) - - // 6. group by joined data - val groupTableName = "__group" - val moreDupColName = "_more_dup" - val groupSql = { - s""" - |SELECT ${aliasesClause}, `${dupColName}`, `${InternalColumns.distinct}`, - |COUNT(*) AS `${moreDupColName}` - |FROM `${joinedTableName}` - |GROUP BY ${aliasesClause}, `${dupColName}`, `${InternalColumns.distinct}` - """.stripMargin - } - val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap) - - // 7. final duplicate count - val finalDupCountTableName = "__finalDupCount" - val finalDupCountSql = { - s""" - |SELECT ${aliasesClause}, `${InternalColumns.distinct}`, - |CASE WHEN `${InternalColumns.distinct}` THEN `${dupColName}` - |ELSE (`${dupColName}` + 1) END AS `${dupColName}`, - |CASE WHEN `${InternalColumns.distinct}` THEN `${dupColName}` - |ELSE (`${dupColName}` + `${moreDupColName}`) END AS `${accuDupColName}` - |FROM `${groupTableName}` - """.stripMargin - } - val finalDupCountStep = SparkSqlStep(finalDupCountTableName, finalDupCountSql, emptyMap, true) - - val rulePlan = RulePlan(olderAliasStep :: joinedStep :: groupStep :: finalDupCountStep :: Nil, Nil) - (rulePlan, finalDupCountTableName) - } - case _ => { - (emptyRulePlan, selfGroupTableName) - } - } - - // 8. distinct metric - val distTableName = "__distMetric" - val distColName = details.getStringOrKey(DistinctnessKeys._distinct) - val distSql = { - s""" - |SELECT COUNT(*) AS `${distColName}` - |FROM `${dupCountTableName}` WHERE `${InternalColumns.distinct}` - """.stripMargin - } - val distStep = SparkSqlStep(distTableName, distSql, emptyMap) - val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, beginTime, mode) - - val distMetricRulePlan = RulePlan(distStep :: Nil, distMetricExport :: Nil) - - val duplicationArrayName = details.getString(UniquenessKeys._duplicationArray, "") - val dupRulePlan = if (duplicationArrayName.nonEmpty) { - // 9. duplicate record - val dupRecordTableName = "__dupRecords" - val dupRecordSelClause = procType match { - case StreamingProcessType if (withOlderTable) => s"${aliasesClause}, `${dupColName}`, `${accuDupColName}`" - case _ => s"${aliasesClause}, `${dupColName}`" - } - val dupRecordSql = { - s""" - |SELECT ${dupRecordSelClause} - |FROM `${dupCountTableName}` WHERE `${dupColName}` > 0 - """.stripMargin - } - val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) - val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, beginTime, mode) - - // 10. duplicate metric - val dupMetricTableName = "__dupMetric" - val numColName = details.getStringOrKey(DistinctnessKeys._num) - val dupMetricSql = { - s""" - |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` - |FROM `${dupRecordTableName}` GROUP BY `${dupColName}` - """.stripMargin - } - val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) - val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, beginTime, mode) - - RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) - } else emptyRulePlan - - selfDistRulePlan.merge(distRulePlan).merge(distMetricRulePlan).merge(dupRulePlan) - - } - } - - private def timelinessRulePlan(timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], procType: ProcessType - ): RulePlan = { - val details = getDetails(param) - val timelinessClause = expr.asInstanceOf[TimelinessClause] - val sourceName = details.getString(TimelinessKeys._source, dataSourceNames.head) - - val mode = ExportMode.defaultMode(procType) - - val ct = timeInfo.calcTime - - if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { - emptyRulePlan - } else { - val analyzer = TimelinessAnalyzer(timelinessClause, sourceName) - val btsSel = analyzer.btsExpr - val etsSelOpt = analyzer.etsExprOpt - - // 1. in time - val inTimeTableName = "__inTime" - val inTimeSql = etsSelOpt match { - case Some(etsSel) => { - s""" - |SELECT *, (${btsSel}) AS `${InternalColumns.beginTs}`, - |(${etsSel}) AS `${InternalColumns.endTs}` - |FROM ${sourceName} WHERE (${btsSel}) IS NOT NULL AND (${etsSel}) IS NOT NULL - """.stripMargin - } - case _ => { - s""" - |SELECT *, (${btsSel}) AS `${InternalColumns.beginTs}` - |FROM ${sourceName} WHERE (${btsSel}) IS NOT NULL - """.stripMargin - } - } - val inTimeStep = SparkSqlStep(inTimeTableName, inTimeSql, emptyMap) - - // 2. latency - val latencyTableName = "__lat" - val latencyColName = details.getStringOrKey(TimelinessKeys._latency) - val etsColName = etsSelOpt match { - case Some(_) => InternalColumns.endTs - case _ => InternalColumns.tmst - } - val latencySql = { - s"SELECT *, (`${etsColName}` - `${InternalColumns.beginTs}`) AS `${latencyColName}` FROM `${inTimeTableName}`" - } - val latencyStep = SparkSqlStep(latencyTableName, latencySql, emptyMap, true) - - // 3. timeliness metric - val metricTableName = name - val totalColName = details.getStringOrKey(TimelinessKeys._total) - val avgColName = details.getStringOrKey(TimelinessKeys._avg) - val metricSql = procType match { - case BatchProcessType => { - s""" - |SELECT COUNT(*) AS `${totalColName}`, - |CAST(AVG(`${latencyColName}`) AS BIGINT) AS `${avgColName}` - |FROM `${latencyTableName}` - """.stripMargin - } - case StreamingProcessType => { - s""" - |SELECT `${InternalColumns.tmst}`, - |COUNT(*) AS `${totalColName}`, - |CAST(AVG(`${latencyColName}`) AS BIGINT) AS `${avgColName}` - |FROM `${latencyTableName}` - |GROUP BY `${InternalColumns.tmst}` - """.stripMargin - } - } - val metricStep = SparkSqlStep(metricTableName, metricSql, emptyMap) - val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val metricExports = genMetricExport(metricParam, name, metricTableName, ct, mode) :: Nil - - // current timeliness plan - val timeSteps = inTimeStep :: latencyStep :: metricStep :: Nil - val timeExports = metricExports - val timePlan = RulePlan(timeSteps, timeExports) - - // 4. timeliness record - val recordPlan = TimeUtil.milliseconds(details.getString(TimelinessKeys._threshold, "")) match { - case Some(tsh) => { - val recordTableName = "__lateRecords" - val recordSql = { - s"SELECT * FROM `${latencyTableName}` WHERE `${latencyColName}` > ${tsh}" - } - val recordStep = SparkSqlStep(recordTableName, recordSql, emptyMap) - val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val recordExports = genRecordExport(recordParam, recordTableName, recordTableName, ct, mode) :: Nil - RulePlan(recordStep :: Nil, recordExports) - } - case _ => emptyRulePlan - } - - // 5. ranges -// val rangePlan = details.get(TimelinessKeys._rangeSplit) match { -// case Some(arr: Seq[String]) => { -// val ranges = splitTimeRanges(arr) -// if (ranges.size > 0) { -// try { -// // 5.1. range -// val rangeTableName = "__range" -// val rangeColName = details.getStringOrKey(TimelinessKeys._range) -// val caseClause = { -// val whenClause = ranges.map { range => -// s"WHEN `${latencyColName}` < ${range._1} THEN '<${range._2}'" -// }.mkString("\n") -// s"CASE ${whenClause} ELSE '>=${ranges.last._2}' END AS `${rangeColName}`" -// } -// val rangeSql = { -// s"SELECT *, ${caseClause} FROM `${latencyTableName}`" -// } -// val rangeStep = SparkSqlStep(rangeTableName, rangeSql, emptyMap) -// -// // 5.2. range metric -// val rangeMetricTableName = "__rangeMetric" -// val countColName = details.getStringOrKey(TimelinessKeys._count) -// val rangeMetricSql = procType match { -// case BatchProcessType => { -// s""" -// |SELECT `${rangeColName}`, COUNT(*) AS `${countColName}` -// |FROM `${rangeTableName}` GROUP BY `${rangeColName}` -// """.stripMargin -// } -// case StreamingProcessType => { -// s""" -// |SELECT `${InternalColumns.tmst}`, `${rangeColName}`, COUNT(*) AS `${countColName}` -// |FROM `${rangeTableName}` GROUP BY `${InternalColumns.tmst}`, `${rangeColName}` -// """.stripMargin -// } -// } -// val rangeMetricStep = SparkSqlStep(rangeMetricTableName, rangeMetricSql, emptyMap) -// val rangeMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) -// val rangeMetricExports = genMetricExport(rangeMetricParam, rangeColName, rangeMetricTableName, ct, mode) :: Nil -// -// RulePlan(rangeStep :: rangeMetricStep :: Nil, rangeMetricExports) -// } catch { -// case _: Throwable => emptyRulePlan -// } -// } else emptyRulePlan -// } -// case _ => emptyRulePlan -// } - - // return timeliness plan - - // 5. ranges - val rangePlan = TimeUtil.milliseconds(details.getString(TimelinessKeys._stepSize, "")) match { - case Some(stepSize) => { - // 5.1 range - val rangeTableName = "__range" - val stepColName = details.getStringOrKey(TimelinessKeys._step) - val rangeSql = { - s""" - |SELECT *, CAST((`${latencyColName}` / ${stepSize}) AS BIGINT) AS `${stepColName}` - |FROM `${latencyTableName}` - """.stripMargin - } - val rangeStep = SparkSqlStep(rangeTableName, rangeSql, emptyMap) - - // 5.2 range metric - val rangeMetricTableName = "__rangeMetric" - val countColName = details.getStringOrKey(TimelinessKeys._count) - val rangeMetricSql = procType match { - case BatchProcessType => { - s""" - |SELECT `${stepColName}`, COUNT(*) AS `${countColName}` - |FROM `${rangeTableName}` GROUP BY `${stepColName}` - """.stripMargin - } - case StreamingProcessType => { - s""" - |SELECT `${InternalColumns.tmst}`, `${stepColName}`, COUNT(*) AS `${countColName}` - |FROM `${rangeTableName}` GROUP BY `${InternalColumns.tmst}`, `${stepColName}` - """.stripMargin - } - } - val rangeMetricStep = SparkSqlStep(rangeMetricTableName, rangeMetricSql, emptyMap) - val rangeMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val rangeMetricExports = genMetricExport(rangeMetricParam, stepColName, rangeMetricTableName, ct, mode) :: Nil - - RulePlan(rangeStep :: rangeMetricStep :: Nil, rangeMetricExports) - } - case _ => emptyRulePlan - } - - timePlan.merge(recordPlan).merge(rangePlan) - } - } - - private def splitTimeRanges(tstrs: Seq[String]): List[(Long, String)] = { - val ts = tstrs.flatMap(TimeUtil.milliseconds(_)).sorted.toList - ts.map { t => (t, TimeUtil.time2String(t)) } - } - } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala index 050bd56c5..e85575fb0 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/RuleAdaptor.scala @@ -20,29 +20,12 @@ package org.apache.griffin.measure.rule.adaptor import java.util.concurrent.atomic.AtomicLong -import org.apache.griffin.measure.cache.tmst.TempName - -import scala.collection.mutable.{Set => MutableSet} -import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.process.{ExportMode, ProcessType} import org.apache.griffin.measure.process.temp.TimeRange import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.plan.{TimeInfo, _} - -//object RuleInfoKeys { -// val _name = "name" -// val _rule = "rule" -// val _details = "details" -// val _dslType = "dsl.type" -// val _dqType = "dq.type" -// val _global = "global" -//// val _gatherStep = "gather.step" -// -// val _metric = "metric" -// val _record = "record" -//} -//import RuleInfoKeys._ +import org.apache.griffin.measure.rule.trans.{DsUpdateFactory, RuleExportFactory} import org.apache.griffin.measure.utils.ParamUtil._ object RuleParamKeys { @@ -70,56 +53,8 @@ object RuleParamKeys { def getDsUpdateOpt(param: Map[String, Any]): Option[Map[String, Any]] = param.getParamMapOpt(_dsUpdate) } -object ExportParamKeys { - val _name = "name" - val _collectType = "collect.type" - val _dataSourceCache = "data.source.cache" - val _originDF = "origin.DF" - - def getName(param: Map[String, Any], defName: String): String = param.getString(_name, defName) - def getCollectType(param: Map[String, Any]): CollectType = CollectType(param.getString(_collectType, "")) - def getDataSourceCacheOpt(param: Map[String, Any]): Option[String] = param.get(_dataSourceCache).map(_.toString) - def getOriginDFOpt(param: Map[String, Any]): Option[String] = param.get(_originDF).map(_.toString) -} - -object UpdateParamKeys { - val _name = "name" - - def getName(param: Map[String, Any], defName: String): String = param.getString(_name, defName) -} - trait RuleAdaptor extends Loggable with Serializable { -// val adaptPhase: AdaptPhase - -// protected def genRuleInfo(param: Map[String, Any]): RuleInfo = RuleInfoGen(param) - -// protected def getName(param: Map[String, Any]) = param.getOrElse(_name, RuleStepNameGenerator.genName).toString -// protected def getRule(param: Map[String, Any]) = param.getOrElse(_rule, "").toString -// protected def getDetails(param: Map[String, Any]) = param.get(_details) match { -// case Some(dt: Map[String, Any]) => dt -// case _ => Map[String, Any]() -// } - - - -// def getPersistNames(steps: Seq[RuleStep]): Seq[String] = steps.map(_.ruleInfo.persistName) -// -// protected def genRuleStep(timeInfo: TimeInfo, param: Map[String, Any]): Seq[RuleStep] -// protected def adaptConcreteRuleStep(ruleStep: RuleStep): Seq[ConcreteRuleStep] -// def genConcreteRuleStep(timeInfo: TimeInfo, param: Map[String, Any] -// ): Seq[ConcreteRuleStep] = { -// genRuleStep(timeInfo, param).flatMap { rs => -// adaptConcreteRuleStep(rs) -// } -// } - - - -// def genRuleInfos(param: Map[String, Any], timeInfo: TimeInfo): Seq[RuleInfo] = { -// RuleInfoGen(param) :: Nil -// } - protected def getRuleName(param: Map[String, Any]): String = { RuleParamKeys.getName(param, RuleStepNameGenerator.genName) } @@ -132,77 +67,25 @@ trait RuleAdaptor extends Loggable with Serializable { mode: ExportMode ): Seq[RuleExport] = { val metricOpt = RuleParamKeys.getMetricOpt(param) - val metricExportSeq = metricOpt.map(genMetricExport(_, defName, stepName, defTimestamp, mode)).toSeq + val metricExportSeq = metricOpt.map( + RuleExportFactory.genMetricExport(_, defName, stepName, defTimestamp, mode) + ).toSeq val recordOpt = RuleParamKeys.getRecordOpt(param) - val recordExportSeq = recordOpt.map(genRecordExport(_, defName, stepName, defTimestamp, mode)).toSeq + val recordExportSeq = recordOpt.map( + RuleExportFactory.genRecordExport(_, defName, stepName, defTimestamp, mode) + ).toSeq metricExportSeq ++ recordExportSeq } - protected def genMetricExport(param: Map[String, Any], name: String, stepName: String, - defTimestamp: Long, mode: ExportMode - ): MetricExport = { - MetricExport( - ExportParamKeys.getName(param, name), - stepName, - ExportParamKeys.getCollectType(param), - defTimestamp, - mode - ) - } - protected def genRecordExport(param: Map[String, Any], name: String, stepName: String, - defTimestamp: Long, mode: ExportMode - ): RecordExport = { - RecordExport( - ExportParamKeys.getName(param, name), - stepName, - ExportParamKeys.getDataSourceCacheOpt(param), - ExportParamKeys.getOriginDFOpt(param), - defTimestamp, - mode - ) - } protected def genDsUpdates(param: Map[String, Any], defDsName: String, stepName: String ): Seq[DsUpdate] = { val dsUpdateOpt = RuleParamKeys.getDsUpdateOpt(param) - dsUpdateOpt.map(genDsUpdate(_, defDsName, stepName)).toSeq - } - protected def genDsUpdate(param: Map[String, Any], defDsName: String, - stepName: String): DsUpdate = { - DsUpdate(UpdateParamKeys.getName(param, defDsName), stepName) + dsUpdateOpt.map(DsUpdateFactory.genDsUpdate(_, defDsName, stepName)).toSeq } - - } - - -//object RuleInfoGen { -// def apply(param: Map[String, Any]): RuleInfo = { -// val name = param.get(_name) match { -// case Some(n: String) => n -// case _ => RuleStepNameGenerator.genName -// } -// RuleInfo( -// name, -// None, -// DslType(param.getString(_dslType, "")), -// param.getString(_rule, ""), -// param.getParamMap(_details), -// param.getBoolean(_gatherStep, false) -// ) -// } -// def apply(ri: RuleInfo, timeInfo: TimeInfo): RuleInfo = { -// if (ri.persistType.needPersist) { -// val tmstName = TempName.tmstName(ri.name, timeInfo) -// ri.setTmstNameOpt(Some(tmstName)) -// } else ri -// } -// -// def dqType(param: Map[String, Any]): DqType = DqType(param.getString(_dqType, "")) -//} - object RuleStepNameGenerator { private val counter: AtomicLong = new AtomicLong(0L) private val head: String = "rs" diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala index ac1415338..84313e4ea 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/MetricExport.scala @@ -28,7 +28,4 @@ case class MetricExport(name: String, mode: ExportMode ) extends RuleExport { - def setDefTimestamp(t: Long): RuleExport = - MetricExport(name, stepName, collectType, t, mode) - } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala index 6afc83652..c69dc55de 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RecordExport.scala @@ -28,7 +28,4 @@ case class RecordExport(name: String, mode: ExportMode ) extends RuleExport { - def setDefTimestamp(t: Long): RuleExport = - RecordExport(name, stepName, dataSourceCacheOpt, originDFOpt, t, mode) - } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala index 84467c2c4..da5eb9d80 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/RuleExport.scala @@ -30,6 +30,4 @@ trait RuleExport extends Serializable { val mode: ExportMode // export mode - def setDefTimestamp(t: Long): RuleExport - } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala new file mode 100644 index 000000000..2ff8feb9c --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala @@ -0,0 +1,198 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process.engine.DataFrameOprs.AccuracyOprKeys +import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.{BatchProcessType, ExportMode, ProcessType, StreamingProcessType} +import org.apache.griffin.measure.rule.adaptor._ +import org.apache.griffin.measure.rule.adaptor.RuleParamKeys._ +import org.apache.griffin.measure.rule.dsl.analyzer.AccuracyAnalyzer +import org.apache.griffin.measure.rule.dsl.expr.{Expr, LogicalExpr} +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.utils.ParamUtil._ +import org.apache.griffin.measure.rule.trans.RuleExportFactory._ +import org.apache.griffin.measure.rule.trans.DsUpdateFactory._ + +case class AccuracyRulePlanTrans(dataSourceNames: Seq[String], + timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType + ) extends RulePlanTrans { + + private object AccuracyKeys { + val _source = "source" + val _target = "target" + val _miss = "miss" + val _total = "total" + val _matched = "matched" + } + import AccuracyKeys._ + + def trans(): RulePlan = { + val details = getDetails(param) + val sourceName = details.getString(_source, dataSourceNames.head) + val targetName = details.getString(_target, dataSourceNames.tail.head) + val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) + + val mode = ExportMode.defaultMode(procType) + + val ct = timeInfo.calcTime + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + println(s"[${ct}] data source ${sourceName} not exists") + emptyRulePlan + } else { + // 1. miss record + val missRecordsTableName = "__missRecords" + val selClause = s"`${sourceName}`.*" + val missRecordsSql = if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { + println(s"[${ct}] data source ${targetName} not exists") + s"SELECT ${selClause} FROM `${sourceName}`" + } else { + val onClause = expr.coalesceDesc + val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => + s"${sel.desc} IS NULL" + }.mkString(" AND ") + val targetIsNull = analyzer.targetSelectionExprs.map { sel => + s"${sel.desc} IS NULL" + }.mkString(" AND ") + val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" + s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" + } + val missRecordsStep = SparkSqlStep(missRecordsTableName, missRecordsSql, emptyMap, true) + val missRecordsExports = procType match { + case BatchProcessType => { + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + genRecordExport(recordParam, missRecordsTableName, missRecordsTableName, ct, mode) :: Nil + } + case StreamingProcessType => Nil + } + val missRecordsUpdates = procType match { + case BatchProcessType => Nil + case StreamingProcessType => { + val updateParam = emptyMap + genDsUpdate(updateParam, sourceName, missRecordsTableName) :: Nil + } + } + + // 2. miss count + val missCountTableName = "__missCount" + val missColName = details.getStringOrKey(_miss) + val missCountSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}`" + case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}` GROUP BY `${InternalColumns.tmst}`" + } + val missCountStep = SparkSqlStep(missCountTableName, missCountSql, emptyMap) + + // 3. total count + val totalCountTableName = "__totalCount" + val totalColName = details.getStringOrKey(_total) + val totalCountSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}`" + } + val totalCountStep = SparkSqlStep(totalCountTableName, totalCountSql, emptyMap) + + // 4. accuracy metric + val accuracyTableName = name + val matchedColName = details.getStringOrKey(_matched) + val accuracyMetricSql = procType match { + case BatchProcessType => { + s""" + |SELECT `${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, + |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, + |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` + |FROM `${totalCountTableName}` LEFT JOIN `${missCountTableName}` + """.stripMargin + } + case StreamingProcessType => { + s""" + |SELECT `${totalCountTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, + |`${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, + |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, + |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` + |FROM `${totalCountTableName}` LEFT JOIN `${missCountTableName}` + |ON `${totalCountTableName}`.`${InternalColumns.tmst}` = `${missCountTableName}`.`${InternalColumns.tmst}` + """.stripMargin + } + } + val accuracyStep = SparkSqlStep(accuracyTableName, accuracyMetricSql, emptyMap) + val accuracyExports = procType match { + case BatchProcessType => { + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + genMetricExport(metricParam, accuracyTableName, accuracyTableName, ct, mode) :: Nil + } + case StreamingProcessType => Nil + } + + // current accu plan + val accuSteps = missRecordsStep :: missCountStep :: totalCountStep :: accuracyStep :: Nil + val accuExports = missRecordsExports ++ accuracyExports + val accuUpdates = missRecordsUpdates + val accuPlan = RulePlan(accuSteps, accuExports, accuUpdates) + + // streaming extra accu plan + val streamingAccuPlan = procType match { + case BatchProcessType => emptyRulePlan + case StreamingProcessType => { + // 5. accuracy metric merge + val accuracyMetricTableName = "__accuracy" + val accuracyMetricRule = "accuracy" + val accuracyMetricDetails = Map[String, Any]( + (AccuracyOprKeys._dfName -> accuracyTableName), + (AccuracyOprKeys._miss -> missColName), + (AccuracyOprKeys._total -> totalColName), + (AccuracyOprKeys._matched -> matchedColName) + ) + val accuracyMetricStep = DfOprStep(accuracyMetricTableName, + accuracyMetricRule, accuracyMetricDetails) + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + val accuracyMetricExports = genMetricExport(metricParam, name, accuracyMetricTableName, ct, mode) :: Nil + + // 6. collect accuracy records + val accuracyRecordTableName = "__accuracyRecords" + val accuracyRecordSql = { + s""" + |SELECT `${InternalColumns.tmst}`, `${InternalColumns.empty}` + |FROM `${accuracyMetricTableName}` WHERE `${InternalColumns.record}` + """.stripMargin + } + val accuracyRecordStep = SparkSqlStep(accuracyRecordTableName, accuracyRecordSql, emptyMap) + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val accuracyRecordParam = recordParam.addIfNotExist(ExportParamKeys._dataSourceCache, sourceName) + .addIfNotExist(ExportParamKeys._originDF, missRecordsTableName) + val accuracyRecordExports = genRecordExport( + accuracyRecordParam, missRecordsTableName, accuracyRecordTableName, ct, mode) :: Nil + + // gen accu plan + val extraSteps = accuracyMetricStep :: accuracyRecordStep :: Nil + val extraExports = accuracyMetricExports ++ accuracyRecordExports + val extraPlan = RulePlan(extraSteps, extraExports) + + extraPlan + } + } + + // return accu plan + accuPlan.merge(streamingAccuPlan) + + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala new file mode 100644 index 000000000..0f4e7c4b6 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala @@ -0,0 +1,234 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process.temp.{TableRegisters, TimeRange} +import org.apache.griffin.measure.process._ +import org.apache.griffin.measure.rule.adaptor.RuleParamKeys._ +import org.apache.griffin.measure.rule.adaptor._ +import org.apache.griffin.measure.rule.dsl.{ArrayCollectType, EntriesCollectType} +import org.apache.griffin.measure.rule.dsl.analyzer.DistinctnessAnalyzer +import org.apache.griffin.measure.rule.dsl.expr._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.trans.RuleExportFactory._ +import org.apache.griffin.measure.utils.ParamUtil._ + +case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], + timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType, + dsTimeRanges: Map[String, TimeRange] + ) extends RulePlanTrans { + + private object DistinctnessKeys { + val _source = "source" + val _target = "target" + val _distinct = "distinct" + val _total = "total" + val _dup = "dup" + val _accu_dup = "accu_dup" + val _num = "num" + + val _duplicationArray = "duplication.array" + val _withAccumulate = "with.accumulate" + } + import DistinctnessKeys._ + + def trans(): RulePlan = { + val details = getDetails(param) + val sourceName = details.getString(_source, dataSourceNames.head) + val targetName = details.getString(_target, dataSourceNames.tail.head) + val analyzer = DistinctnessAnalyzer(expr.asInstanceOf[DistinctnessClause], sourceName) + + val mode = SimpleMode + + val ct = timeInfo.calcTime + + val sourceTimeRange = dsTimeRanges.get(sourceName).getOrElse(TimeRange(ct)) + val beginTime = sourceTimeRange.begin + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + println(s"[${ct}] data source ${sourceName} not exists") + emptyRulePlan + } else { + val withOlderTable = { + details.getBoolean(_withAccumulate, true) && + TableRegisters.existRunTempTable(timeInfo.key, targetName) + } + + val selClause = analyzer.selectionPairs.map { pair => + val (expr, alias) = pair + s"${expr.desc} AS `${alias}`" + }.mkString(", ") + val aliases = analyzer.selectionPairs.map(_._2) + val aliasesClause = aliases.map( a => s"`${a}`" ).mkString(", ") + + // 1. source alias + val sourceAliasTableName = "__sourceAlias" + val sourceAliasSql = { + s"SELECT ${selClause} FROM `${sourceName}`" + } + val sourceAliasStep = SparkSqlStep(sourceAliasTableName, sourceAliasSql, emptyMap, true) + + // 2. total metric + val totalTableName = "__totalMetric" + val totalColName = details.getStringOrKey(_total) + val totalSql = { + s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceAliasTableName}`" + } + val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) + val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, beginTime, mode) + + // 3. group by self + val selfGroupTableName = "__selfGroup" + val dupColName = details.getStringOrKey(_dup) + val accuDupColName = details.getStringOrKey(_accu_dup) + val selfGroupSql = { + s""" + |SELECT ${aliasesClause}, (COUNT(*) - 1) AS `${dupColName}`, + |TRUE AS `${InternalColumns.distinct}` + |FROM `${sourceAliasTableName}` GROUP BY ${aliasesClause} + """.stripMargin + } + val selfGroupStep = SparkSqlStep(selfGroupTableName, selfGroupSql, emptyMap, true) + + val selfDistRulePlan = RulePlan( + sourceAliasStep :: totalStep :: selfGroupStep :: Nil, + totalMetricExport :: Nil + ) + + val (distRulePlan, dupCountTableName) = procType match { + case StreamingProcessType if (withOlderTable) => { + // 4. older alias + val olderAliasTableName = "__older" + val olderAliasSql = { + s"SELECT ${selClause} FROM `${targetName}` WHERE `${InternalColumns.tmst}` < ${beginTime}" + } + val olderAliasStep = SparkSqlStep(olderAliasTableName, olderAliasSql, emptyMap) + + // 5. join with older data + val joinedTableName = "__joined" + val selfSelClause = (aliases :+ dupColName).map { alias => + s"`${selfGroupTableName}`.`${alias}`" + }.mkString(", ") + val onClause = aliases.map { alias => + s"coalesce(`${selfGroupTableName}`.`${alias}`, '') = coalesce(`${olderAliasTableName}`.`${alias}`, '')" + }.mkString(" AND ") + val olderIsNull = aliases.map { alias => + s"`${olderAliasTableName}`.`${alias}` IS NULL" + }.mkString(" AND ") + val joinedSql = { + s""" + |SELECT ${selfSelClause}, (${olderIsNull}) AS `${InternalColumns.distinct}` + |FROM `${olderAliasTableName}` RIGHT JOIN `${selfGroupTableName}` + |ON ${onClause} + """.stripMargin + } + val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) + + // 6. group by joined data + val groupTableName = "__group" + val moreDupColName = "_more_dup" + val groupSql = { + s""" + |SELECT ${aliasesClause}, `${dupColName}`, `${InternalColumns.distinct}`, + |COUNT(*) AS `${moreDupColName}` + |FROM `${joinedTableName}` + |GROUP BY ${aliasesClause}, `${dupColName}`, `${InternalColumns.distinct}` + """.stripMargin + } + val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap) + + // 7. final duplicate count + val finalDupCountTableName = "__finalDupCount" + val finalDupCountSql = { + s""" + |SELECT ${aliasesClause}, `${InternalColumns.distinct}`, + |CASE WHEN `${InternalColumns.distinct}` THEN `${dupColName}` + |ELSE (`${dupColName}` + 1) END AS `${dupColName}`, + |CASE WHEN `${InternalColumns.distinct}` THEN `${dupColName}` + |ELSE (`${dupColName}` + `${moreDupColName}`) END AS `${accuDupColName}` + |FROM `${groupTableName}` + """.stripMargin + } + val finalDupCountStep = SparkSqlStep(finalDupCountTableName, finalDupCountSql, emptyMap, true) + + val rulePlan = RulePlan(olderAliasStep :: joinedStep :: groupStep :: finalDupCountStep :: Nil, Nil) + (rulePlan, finalDupCountTableName) + } + case _ => { + (emptyRulePlan, selfGroupTableName) + } + } + + // 8. distinct metric + val distTableName = "__distMetric" + val distColName = details.getStringOrKey(_distinct) + val distSql = { + s""" + |SELECT COUNT(*) AS `${distColName}` + |FROM `${dupCountTableName}` WHERE `${InternalColumns.distinct}` + """.stripMargin + } + val distStep = SparkSqlStep(distTableName, distSql, emptyMap) + val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, beginTime, mode) + + val distMetricRulePlan = RulePlan(distStep :: Nil, distMetricExport :: Nil) + + val duplicationArrayName = details.getString(_duplicationArray, "") + val dupRulePlan = if (duplicationArrayName.nonEmpty) { + // 9. duplicate record + val dupRecordTableName = "__dupRecords" + val dupRecordSelClause = procType match { + case StreamingProcessType if (withOlderTable) => s"${aliasesClause}, `${dupColName}`, `${accuDupColName}`" + case _ => s"${aliasesClause}, `${dupColName}`" + } + val dupRecordSql = { + s""" + |SELECT ${dupRecordSelClause} + |FROM `${dupCountTableName}` WHERE `${dupColName}` > 0 + """.stripMargin + } + val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) + val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, beginTime, mode) + + // 10. duplicate metric + val dupMetricTableName = "__dupMetric" + val numColName = details.getStringOrKey(_num) + val dupMetricSql = { + s""" + |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` + |FROM `${dupRecordTableName}` GROUP BY `${dupColName}` + """.stripMargin + } + val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) + val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, beginTime, mode) + + RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) + } else emptyRulePlan + + selfDistRulePlan.merge(distRulePlan).merge(distMetricRulePlan).merge(dupRulePlan) + + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DsUpdateFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DsUpdateFactory.scala new file mode 100644 index 000000000..772163e38 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DsUpdateFactory.scala @@ -0,0 +1,37 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.utils.ParamUtil._ + +object DsUpdateFactory { + + def genDsUpdate(param: Map[String, Any], defDsName: String, + stepName: String): DsUpdate = { + DsUpdate(UpdateParamKeys.getName(param, defDsName), stepName) + } + +} + +object UpdateParamKeys { + val _name = "name" + + def getName(param: Map[String, Any], defName: String): String = param.getString(_name, defName) +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala new file mode 100644 index 000000000..d9d2d4e20 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala @@ -0,0 +1,98 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.{BatchProcessType, ExportMode, ProcessType, StreamingProcessType} +import org.apache.griffin.measure.rule.adaptor.RuleParamKeys._ +import org.apache.griffin.measure.rule.adaptor._ +import org.apache.griffin.measure.rule.dsl.analyzer.ProfilingAnalyzer +import org.apache.griffin.measure.rule.dsl.expr._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.trans.RuleExportFactory._ +import org.apache.griffin.measure.utils.ParamUtil._ + +case class ProfilingRulePlanTrans(dataSourceNames: Seq[String], + timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType + ) extends RulePlanTrans { + + private object ProfilingKeys { + val _source = "source" + } + import ProfilingKeys._ + + def trans(): RulePlan = { + val details = getDetails(param) + val profilingClause = expr.asInstanceOf[ProfilingClause] + val sourceName = profilingClause.fromClauseOpt match { + case Some(fc) => fc.dataSource + case _ => details.getString(_source, dataSourceNames.head) + } + val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc + + val mode = ExportMode.defaultMode(procType) + + val ct = timeInfo.calcTime + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + emptyRulePlan + } else { + val analyzer = ProfilingAnalyzer(profilingClause, sourceName) + val selExprDescs = analyzer.selectionExprs.map { sel => + val alias = sel match { + case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" + case _ => "" + } + s"${sel.desc}${alias}" + } + val selCondition = profilingClause.selectClause.extraConditionOpt.map(_.desc).mkString + val selClause = procType match { + case BatchProcessType => selExprDescs.mkString(", ") + case StreamingProcessType => (s"`${InternalColumns.tmst}`" +: selExprDescs).mkString(", ") + } + val groupByClauseOpt = analyzer.groupbyExprOpt + val groupbyClause = procType match { + case BatchProcessType => groupByClauseOpt.map(_.desc).getOrElse("") + case StreamingProcessType => { + val tmstGroupbyClause = GroupbyClause(LiteralStringExpr(s"`${InternalColumns.tmst}`") :: Nil, None) + val mergedGroubbyClause = tmstGroupbyClause.merge(groupByClauseOpt match { + case Some(gbc) => gbc + case _ => GroupbyClause(Nil, None) + }) + mergedGroubbyClause.desc + } + } + val preGroupbyClause = analyzer.preGroupbyExprs.map(_.desc).mkString(" ") + val postGroupbyClause = analyzer.postGroupbyExprs.map(_.desc).mkString(" ") + + // 1. select statement + val profilingSql = { + s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" + } + val profilingName = name + val profilingStep = SparkSqlStep(profilingName, profilingSql, details) + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + val profilingExports = genMetricExport(metricParam, name, profilingName, ct, mode) :: Nil + + RulePlan(profilingStep :: Nil, profilingExports) + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RuleExportFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RuleExportFactory.scala new file mode 100644 index 000000000..915e654cf --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RuleExportFactory.scala @@ -0,0 +1,65 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process.ExportMode +import org.apache.griffin.measure.rule.dsl.CollectType +import org.apache.griffin.measure.rule.plan._ + +import org.apache.griffin.measure.utils.ParamUtil._ + +object RuleExportFactory { + + def genMetricExport(param: Map[String, Any], name: String, stepName: String, + defTimestamp: Long, mode: ExportMode + ): MetricExport = { + MetricExport( + ExportParamKeys.getName(param, name), + stepName, + ExportParamKeys.getCollectType(param), + defTimestamp, + mode + ) + } + def genRecordExport(param: Map[String, Any], name: String, stepName: String, + defTimestamp: Long, mode: ExportMode + ): RecordExport = { + RecordExport( + ExportParamKeys.getName(param, name), + stepName, + ExportParamKeys.getDataSourceCacheOpt(param), + ExportParamKeys.getOriginDFOpt(param), + defTimestamp, + mode + ) + } + +} + +object ExportParamKeys { + val _name = "name" + val _collectType = "collect.type" + val _dataSourceCache = "data.source.cache" + val _originDF = "origin.DF" + + def getName(param: Map[String, Any], defName: String): String = param.getString(_name, defName) + def getCollectType(param: Map[String, Any]): CollectType = CollectType(param.getString(_collectType, "")) + def getDataSourceCacheOpt(param: Map[String, Any]): Option[String] = param.get(_dataSourceCache).map(_.toString) + def getOriginDFOpt(param: Map[String, Any]): Option[String] = param.get(_originDF).map(_.toString) +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala new file mode 100644 index 000000000..b7226ba9b --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala @@ -0,0 +1,57 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.log.Loggable +import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.process.temp.TimeRange +import org.apache.griffin.measure.rule.dsl._ +import org.apache.griffin.measure.rule.dsl.expr.Expr +import org.apache.griffin.measure.rule.plan._ + +trait RulePlanTrans extends Loggable with Serializable { + + protected val emptyRulePlan = RulePlan(Nil, Nil) + protected val emptyMap = Map[String, Any]() + + def trans(): RulePlan + +} + +object RulePlanTrans { + private val emptyRulePlanTrans = new RulePlanTrans { + def trans(): RulePlan = emptyRulePlan + } + + def apply(dqType: DqType, + dsNames: Seq[String], + ti: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType, + dsTimeRanges: Map[String, TimeRange] + ): RulePlanTrans = { + dqType match { + case AccuracyType => AccuracyRulePlanTrans(dsNames, ti, name, expr, param, procType) + case ProfilingType => ProfilingRulePlanTrans(dsNames, ti, name, expr, param, procType) + case UniquenessType => UniquenessRulePlanTrans(dsNames, ti, name, expr, param, procType) + case DistinctnessType => DistinctnessRulePlanTrans(dsNames, ti, name, expr, param, procType, dsTimeRanges) + case TimelinessType => TimelinessRulePlanTrans(dsNames, ti, name, expr, param, procType) + case _ => emptyRulePlanTrans + } + } +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala new file mode 100644 index 000000000..06dee60dd --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala @@ -0,0 +1,239 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.{BatchProcessType, ExportMode, ProcessType, StreamingProcessType} +import org.apache.griffin.measure.rule.adaptor.RuleParamKeys._ +import org.apache.griffin.measure.rule.adaptor._ +import org.apache.griffin.measure.rule.dsl.ArrayCollectType +import org.apache.griffin.measure.rule.dsl.analyzer.TimelinessAnalyzer +import org.apache.griffin.measure.rule.dsl.expr._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.trans.RuleExportFactory._ +import org.apache.griffin.measure.utils.ParamUtil._ +import org.apache.griffin.measure.utils.TimeUtil + +case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], + timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType + ) extends RulePlanTrans { + + private object TimelinessKeys { + val _source = "source" + val _latency = "latency" + val _total = "total" + val _avg = "avg" + val _threshold = "threshold" + val _step = "step" + val _count = "count" + val _stepSize = "step.size" + } + import TimelinessKeys._ + + def trans(): RulePlan = { + val details = getDetails(param) + val timelinessClause = expr.asInstanceOf[TimelinessClause] + val sourceName = details.getString(_source, dataSourceNames.head) + + val mode = ExportMode.defaultMode(procType) + + val ct = timeInfo.calcTime + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + emptyRulePlan + } else { + val analyzer = TimelinessAnalyzer(timelinessClause, sourceName) + val btsSel = analyzer.btsExpr + val etsSelOpt = analyzer.etsExprOpt + + // 1. in time + val inTimeTableName = "__inTime" + val inTimeSql = etsSelOpt match { + case Some(etsSel) => { + s""" + |SELECT *, (${btsSel}) AS `${InternalColumns.beginTs}`, + |(${etsSel}) AS `${InternalColumns.endTs}` + |FROM ${sourceName} WHERE (${btsSel}) IS NOT NULL AND (${etsSel}) IS NOT NULL + """.stripMargin + } + case _ => { + s""" + |SELECT *, (${btsSel}) AS `${InternalColumns.beginTs}` + |FROM ${sourceName} WHERE (${btsSel}) IS NOT NULL + """.stripMargin + } + } + val inTimeStep = SparkSqlStep(inTimeTableName, inTimeSql, emptyMap) + + // 2. latency + val latencyTableName = "__lat" + val latencyColName = details.getStringOrKey(_latency) + val etsColName = etsSelOpt match { + case Some(_) => InternalColumns.endTs + case _ => InternalColumns.tmst + } + val latencySql = { + s"SELECT *, (`${etsColName}` - `${InternalColumns.beginTs}`) AS `${latencyColName}` FROM `${inTimeTableName}`" + } + val latencyStep = SparkSqlStep(latencyTableName, latencySql, emptyMap, true) + + // 3. timeliness metric + val metricTableName = name + val totalColName = details.getStringOrKey(_total) + val avgColName = details.getStringOrKey(_avg) + val metricSql = procType match { + case BatchProcessType => { + s""" + |SELECT COUNT(*) AS `${totalColName}`, + |CAST(AVG(`${latencyColName}`) AS BIGINT) AS `${avgColName}` + |FROM `${latencyTableName}` + """.stripMargin + } + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, + |COUNT(*) AS `${totalColName}`, + |CAST(AVG(`${latencyColName}`) AS BIGINT) AS `${avgColName}` + |FROM `${latencyTableName}` + |GROUP BY `${InternalColumns.tmst}` + """.stripMargin + } + } + val metricStep = SparkSqlStep(metricTableName, metricSql, emptyMap) + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + val metricExports = genMetricExport(metricParam, name, metricTableName, ct, mode) :: Nil + + // current timeliness plan + val timeSteps = inTimeStep :: latencyStep :: metricStep :: Nil + val timeExports = metricExports + val timePlan = RulePlan(timeSteps, timeExports) + + // 4. timeliness record + val recordPlan = TimeUtil.milliseconds(details.getString(_threshold, "")) match { + case Some(tsh) => { + val recordTableName = "__lateRecords" + val recordSql = { + s"SELECT * FROM `${latencyTableName}` WHERE `${latencyColName}` > ${tsh}" + } + val recordStep = SparkSqlStep(recordTableName, recordSql, emptyMap) + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val recordExports = genRecordExport(recordParam, recordTableName, recordTableName, ct, mode) :: Nil + RulePlan(recordStep :: Nil, recordExports) + } + case _ => emptyRulePlan + } + +// 5. ranges +// val rangePlan = details.get(_rangeSplit) match { +// case Some(arr: Seq[String]) => { +// val ranges = splitTimeRanges(arr) +// if (ranges.size > 0) { +// try { +// // 5.1. range +// val rangeTableName = "__range" +// val rangeColName = details.getStringOrKey(_range) +// val caseClause = { +// val whenClause = ranges.map { range => +// s"WHEN `${latencyColName}` < ${range._1} THEN '<${range._2}'" +// }.mkString("\n") +// s"CASE ${whenClause} ELSE '>=${ranges.last._2}' END AS `${rangeColName}`" +// } +// val rangeSql = { +// s"SELECT *, ${caseClause} FROM `${latencyTableName}`" +// } +// val rangeStep = SparkSqlStep(rangeTableName, rangeSql, emptyMap) +// +// // 5.2. range metric +// val rangeMetricTableName = "__rangeMetric" +// val countColName = details.getStringOrKey(_count) +// val rangeMetricSql = procType match { +// case BatchProcessType => { +// s""" +// |SELECT `${rangeColName}`, COUNT(*) AS `${countColName}` +// |FROM `${rangeTableName}` GROUP BY `${rangeColName}` +// """.stripMargin +// } +// case StreamingProcessType => { +// s""" +// |SELECT `${InternalColumns.tmst}`, `${rangeColName}`, COUNT(*) AS `${countColName}` +// |FROM `${rangeTableName}` GROUP BY `${InternalColumns.tmst}`, `${rangeColName}` +// """.stripMargin +// } +// } +// val rangeMetricStep = SparkSqlStep(rangeMetricTableName, rangeMetricSql, emptyMap) +// val rangeMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) +// val rangeMetricExports = genMetricExport(rangeMetricParam, rangeColName, rangeMetricTableName, ct, mode) :: Nil +// +// RulePlan(rangeStep :: rangeMetricStep :: Nil, rangeMetricExports) +// } catch { +// case _: Throwable => emptyRulePlan +// } +// } else emptyRulePlan +// } +// case _ => emptyRulePlan +// } + +// return timeliness plan + + // 5. ranges + val rangePlan = TimeUtil.milliseconds(details.getString(_stepSize, "")) match { + case Some(stepSize) => { + // 5.1 range + val rangeTableName = "__range" + val stepColName = details.getStringOrKey(_step) + val rangeSql = { + s""" + |SELECT *, CAST((`${latencyColName}` / ${stepSize}) AS BIGINT) AS `${stepColName}` + |FROM `${latencyTableName}` + """.stripMargin + } + val rangeStep = SparkSqlStep(rangeTableName, rangeSql, emptyMap) + + // 5.2 range metric + val rangeMetricTableName = "__rangeMetric" + val countColName = details.getStringOrKey(_count) + val rangeMetricSql = procType match { + case BatchProcessType => { + s""" + |SELECT `${stepColName}`, COUNT(*) AS `${countColName}` + |FROM `${rangeTableName}` GROUP BY `${stepColName}` + """.stripMargin + } + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, `${stepColName}`, COUNT(*) AS `${countColName}` + |FROM `${rangeTableName}` GROUP BY `${InternalColumns.tmst}`, `${stepColName}` + """.stripMargin + } + } + val rangeMetricStep = SparkSqlStep(rangeMetricTableName, rangeMetricSql, emptyMap) + val rangeMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val rangeMetricExports = genMetricExport(rangeMetricParam, stepColName, rangeMetricTableName, ct, mode) :: Nil + + RulePlan(rangeStep :: rangeMetricStep :: Nil, rangeMetricExports) + } + case _ => emptyRulePlan + } + + timePlan.merge(recordPlan).merge(rangePlan) + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala new file mode 100644 index 000000000..326d80bc0 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala @@ -0,0 +1,198 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process._ +import org.apache.griffin.measure.process.temp._ +import org.apache.griffin.measure.rule.adaptor.RuleParamKeys._ +import org.apache.griffin.measure.rule.adaptor._ +import org.apache.griffin.measure.rule.dsl.analyzer.UniquenessAnalyzer +import org.apache.griffin.measure.rule.dsl.expr._ +import org.apache.griffin.measure.rule.dsl._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.trans.RuleExportFactory._ +import org.apache.griffin.measure.utils.ParamUtil._ + +case class UniquenessRulePlanTrans(dataSourceNames: Seq[String], + timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType + ) extends RulePlanTrans { + + private object UniquenessKeys { + val _source = "source" + val _target = "target" + val _unique = "unique" + val _total = "total" + val _dup = "dup" + val _num = "num" + + val _duplicationArray = "duplication.array" + } + import UniquenessKeys._ + + def trans(): RulePlan = { + val details = getDetails(param) + val sourceName = details.getString(_source, dataSourceNames.head) + val targetName = details.getString(_target, dataSourceNames.tail.head) + val analyzer = UniquenessAnalyzer(expr.asInstanceOf[UniquenessClause], sourceName, targetName) + + val mode = ExportMode.defaultMode(procType) + + val ct = timeInfo.calcTime + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + println(s"[${ct}] data source ${sourceName} not exists") + emptyRulePlan + } else if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { + println(s"[${ct}] data source ${targetName} not exists") + emptyRulePlan + } else { + val selItemsClause = analyzer.selectionPairs.map { pair => + val (expr, alias) = pair + s"${expr.desc} AS `${alias}`" + }.mkString(", ") + val aliases = analyzer.selectionPairs.map(_._2) + + val selClause = procType match { + case BatchProcessType => selItemsClause + case StreamingProcessType => s"`${InternalColumns.tmst}`, ${selItemsClause}" + } + val selAliases = procType match { + case BatchProcessType => aliases + case StreamingProcessType => InternalColumns.tmst +: aliases + } + + // 1. source distinct mapping + val sourceTableName = "__source" + val sourceSql = s"SELECT DISTINCT ${selClause} FROM ${sourceName}" + val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) + + // 2. target mapping + val targetTableName = "__target" + val targetSql = s"SELECT ${selClause} FROM ${targetName}" + val targetStep = SparkSqlStep(targetTableName, targetSql, emptyMap) + + // 3. joined + val joinedTableName = "__joined" + val joinedSelClause = selAliases.map { alias => + s"`${sourceTableName}`.`${alias}` AS `${alias}`" + }.mkString(", ") + val onClause = aliases.map { alias => + s"coalesce(`${sourceTableName}`.`${alias}`, '') = coalesce(`${targetTableName}`.`${alias}`, '')" + }.mkString(" AND ") + val joinedSql = { + s"SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` ON ${onClause}" + } + val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) + + // 4. group + val groupTableName = "__group" + val groupSelClause = selAliases.map { alias => + s"`${alias}`" + }.mkString(", ") + val dupColName = details.getStringOrKey(_dup) + val groupSql = { + s"SELECT ${groupSelClause}, (COUNT(*) - 1) AS `${dupColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" + } + val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap, true) + + // 5. total metric + val totalTableName = "__totalMetric" + val totalColName = details.getStringOrKey(_total) + val totalSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` + |FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}` + """.stripMargin + } + } + val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) + val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, ct, mode) + + // 6. unique record + val uniqueRecordTableName = "__uniqueRecord" + val uniqueRecordSql = { + s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` = 0" + } + val uniqueRecordStep = SparkSqlStep(uniqueRecordTableName, uniqueRecordSql, emptyMap) + + // 7. unique metric + val uniqueTableName = "__uniqueMetric" + val uniqueColName = details.getStringOrKey(_unique) + val uniqueSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${uniqueColName}` FROM `${uniqueRecordTableName}`" + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${uniqueColName}` + |FROM `${uniqueRecordTableName}` GROUP BY `${InternalColumns.tmst}` + """.stripMargin + } + } + val uniqueStep = SparkSqlStep(uniqueTableName, uniqueSql, emptyMap) + val uniqueMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val uniqueMetricExport = genMetricExport(uniqueMetricParam, uniqueColName, uniqueTableName, ct, mode) + + val uniqueSteps = sourceStep :: targetStep :: joinedStep :: groupStep :: + totalStep :: uniqueRecordStep :: uniqueStep :: Nil + val uniqueExports = totalMetricExport :: uniqueMetricExport :: Nil + val uniqueRulePlan = RulePlan(uniqueSteps, uniqueExports) + + val duplicationArrayName = details.getString(_duplicationArray, "") + val dupRulePlan = if (duplicationArrayName.nonEmpty) { + // 8. duplicate record + val dupRecordTableName = "__dupRecords" + val dupRecordSql = { + s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" + } + val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val dupRecordExport = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName, ct, mode) + + // 9. duplicate metric + val dupMetricTableName = "__dupMetric" + val numColName = details.getStringOrKey(_num) + val dupMetricSelClause = procType match { + case BatchProcessType => s"`${dupColName}`, COUNT(*) AS `${numColName}`" + case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`, COUNT(*) AS `${numColName}`" + } + val dupMetricGroupbyClause = procType match { + case BatchProcessType => s"`${dupColName}`" + case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`" + } + val dupMetricSql = { + s""" + |SELECT ${dupMetricSelClause} FROM `${dupRecordTableName}` + |GROUP BY ${dupMetricGroupbyClause} + """.stripMargin + } + val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) + val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct, mode) + + RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) + } else emptyRulePlan + + uniqueRulePlan.merge(dupRulePlan) + } + } + +} From 52a579da672add114c218c9ad2b91bb0ab4fcc43 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 31 Jan 2018 11:25:48 +0800 Subject: [PATCH 127/177] remove comments --- .../measure/process/BatchDqProcess.scala | 44 +++++-------------- .../measure/process/StreamingDqThread.scala | 13 ++++-- .../measure/process/temp/TimeRange.scala | 2 +- 3 files changed, 23 insertions(+), 36 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 44cca9a7f..5b28e99af 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -20,24 +20,20 @@ package org.apache.griffin.measure.process import java.util.Date -import org.apache.griffin.measure.cache.info.TimeInfoCache -import org.apache.griffin.measure.cache.result.CacheResultProcesser import org.apache.griffin.measure.config.params._ import org.apache.griffin.measure.config.params.env._ import org.apache.griffin.measure.config.params.user._ import org.apache.griffin.measure.data.source.DataSourceFactory import org.apache.griffin.measure.persist.{Persist, PersistFactory} -import org.apache.griffin.measure.process.engine.{DqEngineFactory, SparkSqlEngine} -import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} -import org.apache.griffin.measure.rule.adaptor.{RuleAdaptorGroup, RunPhase} +import org.apache.griffin.measure.process.engine._ +import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters, TimeRange} +import org.apache.griffin.measure.rule.adaptor._ import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.rule.udf.GriffinUdfs -import org.apache.griffin.measure.utils.JsonUtil import org.apache.spark.sql.SQLContext import org.apache.spark.sql.hive.HiveContext import org.apache.spark.{SparkConf, SparkContext} -import scala.concurrent.Await import scala.util.Try case class BatchDqProcess(allParam: AllParam) extends DqProcess { @@ -93,25 +89,11 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // init data sources val dsTimeRanges = dqEngines.loadData(dataSources, calcTimeInfo) - - println(s"data source timeRanges: ${dsTimeRanges}") - - // generate rule steps -// val ruleSteps = RuleAdaptorGroup.genConcreteRuleSteps( -// TimeInfo(appTime, appTime), userParam.evaluateRuleParam, dsTmsts, BatchProcessType, RunPhase) -// val ruleSteps = RuleAdaptorGroup.genRuleSteps( -// CalcTimeInfo(appTime), userParam.evaluateRuleParam, dsTmsts) + printTimeRanges(dsTimeRanges) val rulePlan = RuleAdaptorGroup.genRulePlan( calcTimeInfo, userParam.evaluateRuleParam, BatchProcessType, dsTimeRanges) -// rulePlan.ruleSteps.foreach(println) -// println("====") -// rulePlan.metricExports.foreach(println) -// println("====") -// rulePlan.recordExports.foreach(println) -// println("====") - // run rules dqEngines.runRuleSteps(calcTimeInfo, rulePlan.ruleSteps) @@ -119,11 +101,6 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { dqEngines.persistAllMetrics(rulePlan.metricExports, persistFactory) dqEngines.persistAllRecords(rulePlan.recordExports, persistFactory, dataSources) -// dfs.foreach(_._2.cache()) -// -// dqEngines.persistAllRecords(dfs, persistFactory) - -// dfs.foreach(_._2.unpersist()) // end time val endTime = new Date().getTime @@ -132,11 +109,6 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // finish persist.finish() -// sqlContext.tables().show(50) -// println(sqlContext.tableNames().size) - -// sqlContext.tables().show(50) - // clean data cleanData(calcTimeInfo) @@ -190,4 +162,12 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // } // } + private def printTimeRanges(timeRanges: Map[String, TimeRange]): Unit = { + val timeRangesStr = timeRanges.map { pair => + val (name, timeRange) = pair + s"${name} -> [${timeRange.begin}, ${timeRange.end})" + }.mkString(", ") + println(s"data source timeRanges: ${timeRangesStr}") + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index 34a19aa56..f3ab23aef 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -28,7 +28,7 @@ import org.apache.griffin.measure.data.source.DataSource import org.apache.griffin.measure.log.Loggable import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngines -import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} +import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters, TimeRange} import org.apache.griffin.measure.rule.adaptor.{ProcessDetailsKeys, RuleAdaptorGroup, RunPhase} import org.apache.griffin.measure.rule.plan._ import org.apache.spark.sql.SQLContext @@ -59,8 +59,7 @@ case class StreamingDqThread(sqlContext: SQLContext, // init data sources val dsTimeRanges = dqEngines.loadData(dataSources, calcTimeInfo) - - println(s"data source timeRanges: ${dsTimeRanges}") + printTimeRanges(dsTimeRanges) // generate rule steps val rulePlan = RuleAdaptorGroup.genRulePlan( @@ -128,4 +127,12 @@ case class StreamingDqThread(sqlContext: SQLContext, } } + private def printTimeRanges(timeRanges: Map[String, TimeRange]): Unit = { + val timeRangesStr = timeRanges.map { pair => + val (name, timeRange) = pair + s"${name} -> [${timeRange.begin}, ${timeRange.end})" + }.mkString(", ") + println(s"data source timeRanges: ${timeRangesStr}") + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala index 31fe5ea7a..db92533dd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala @@ -20,7 +20,7 @@ package org.apache.griffin.measure.process.temp import scala.math.{min, max} -case class TimeRange(begin: Long, end: Long, tmsts: Set[Long]) extends Serializable { + case class TimeRange(begin: Long, end: Long, tmsts: Set[Long]) extends Serializable { def merge(tr: TimeRange): TimeRange = { TimeRange(min(begin, tr.begin), max(end, tr.end), tmsts ++ tr.tmsts) } From 1ccdeab09f96cf21985e9aeb6f42a76533b6b82a Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 31 Jan 2018 12:58:57 +0800 Subject: [PATCH 128/177] add files --- .../data/source/cache/DataCacheable.scala | 84 ++++ .../data/source/cache/DataSourceCache.scala | 393 ++++++++++++++++ .../source/cache/DataSourceCacheFactory.scala | 59 +++ .../source/cache/DataSourceTextCache.scala | 422 ++++++++++++++++++ .../source/cache/JsonDataSourceCache.scala | 40 ++ .../source/cache/OrcDataSourceCache.scala | 40 ++ .../source/cache/ParquetDataSourceCache.scala | 40 ++ .../griffin/measure/rule/plan/DsUpdate.scala | 24 + .../rule/trans/AccuracyRulePlanTrans.scala | 198 ++++++++ .../trans/DistinctnessRulePlanTrans.scala | 234 ++++++++++ .../measure/rule/trans/DsUpdateFactory.scala | 37 ++ .../rule/trans/ProfilingRulePlanTrans.scala | 98 ++++ .../rule/trans/RuleExportFactory.scala | 65 +++ .../measure/rule/trans/RulePlanTrans.scala | 57 +++ .../rule/trans/TimelinessRulePlanTrans.scala | 239 ++++++++++ .../rule/trans/UniquenessRulePlanTrans.scala | 198 ++++++++ 16 files changed, 2228 insertions(+) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataCacheable.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCacheFactory.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceTextCache.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/JsonDataSourceCache.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OrcDataSourceCache.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/plan/DsUpdate.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/DsUpdateFactory.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/RuleExportFactory.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataCacheable.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataCacheable.scala new file mode 100644 index 000000000..36c556b63 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataCacheable.scala @@ -0,0 +1,84 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import org.apache.griffin.measure.cache.info.{InfoCacheInstance, TimeInfoCache} + +trait DataCacheable { + + val cacheInfoPath: String + val readyTimeInterval: Long + val readyTimeDelay: Long + + def selfCacheInfoPath = s"${TimeInfoCache.infoPath}/${cacheInfoPath}" + + def selfCacheTime = TimeInfoCache.cacheTime(selfCacheInfoPath) + def selfLastProcTime = TimeInfoCache.lastProcTime(selfCacheInfoPath) + def selfReadyTime = TimeInfoCache.readyTime(selfCacheInfoPath) + def selfCleanTime = TimeInfoCache.cleanTime(selfCacheInfoPath) + def selfOldCacheIndex = TimeInfoCache.oldCacheIndex(selfCacheInfoPath) + + protected def submitCacheTime(ms: Long): Unit = { + val map = Map[String, String]((selfCacheTime -> ms.toString)) + InfoCacheInstance.cacheInfo(map) + } + + protected def submitReadyTime(ms: Long): Unit = { + val curReadyTime = ms - readyTimeDelay + if (curReadyTime % readyTimeInterval == 0) { + val map = Map[String, String]((selfReadyTime -> curReadyTime.toString)) + InfoCacheInstance.cacheInfo(map) + } + } + + protected def submitLastProcTime(ms: Long): Unit = { + val map = Map[String, String]((selfLastProcTime -> ms.toString)) + InfoCacheInstance.cacheInfo(map) + } + + protected def readLastProcTime(): Option[Long] = readSelfInfo(selfLastProcTime) + + protected def submitCleanTime(ms: Long): Unit = { + val cleanTime = genCleanTime(ms) + val map = Map[String, String]((selfCleanTime -> cleanTime.toString)) + InfoCacheInstance.cacheInfo(map) + } + + protected def genCleanTime(ms: Long): Long = ms + + protected def readCleanTime(): Option[Long] = readSelfInfo(selfCleanTime) + + protected def submitOldCacheIndex(index: Long): Unit = { + val map = Map[String, String]((selfOldCacheIndex -> index.toString)) + InfoCacheInstance.cacheInfo(map) + } + + protected def readOldCacheIndex(): Option[Long] = readSelfInfo(selfOldCacheIndex) + + private def readSelfInfo(key: String): Option[Long] = { + InfoCacheInstance.readInfo(key :: Nil).get(key).flatMap { v => + try { + Some(v.toLong) + } catch { + case _ => None + } + } + } + +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala new file mode 100644 index 000000000..94a33fdf2 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -0,0 +1,393 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import java.util.concurrent.TimeUnit + +import org.apache.griffin.measure.cache.info.{InfoCacheInstance, TimeInfoCache} +import org.apache.griffin.measure.cache.tmst.TmstCache +import org.apache.griffin.measure.log.Loggable +import org.apache.griffin.measure.process.temp.TimeRange +import org.apache.griffin.measure.utils.ParamUtil._ +import org.apache.griffin.measure.utils.{HdfsUtil, TimeUtil} +import org.apache.spark.rdd.RDD +import org.apache.spark.sql.DataFrame + +abstract class DataSourceCache(param: Map[String, Any], dsName: String, index: Int + ) extends DataCacheable with Loggable with Serializable { + +// val param: Map[String, Any] +// val dsName: String +// val index: Int + + var tmstCache: TmstCache = _ + protected def rangeTmsts(from: Long, until: Long) = tmstCache.range(from, until) + protected def clearTmst(t: Long) = tmstCache.remove(t) + protected def clearTmstsUntil(until: Long) = { + val outDateTmsts = tmstCache.until(until) + tmstCache.remove(outDateTmsts) + } + + val _FilePath = "file.path" + val _InfoPath = "info.path" + val _ReadyTimeInterval = "ready.time.interval" + val _ReadyTimeDelay = "ready.time.delay" + val _TimeRange = "time.range" + + val defFilePath = s"/griffin/cache/${dsName}/${index}" + val defInfoPath = s"${index}" + + val filePath: String = param.getString(_FilePath, defFilePath) + val cacheInfoPath: String = param.getString(_InfoPath, defInfoPath) + val readyTimeInterval: Long = TimeUtil.milliseconds(param.getString(_ReadyTimeInterval, "1m")).getOrElse(60000L) + val readyTimeDelay: Long = TimeUtil.milliseconds(param.getString(_ReadyTimeDelay, "1m")).getOrElse(60000L) + val deltaTimeRange: (Long, Long) = { + def negative(n: Long): Long = if (n <= 0) n else 0 + param.get(_TimeRange) match { + case Some(seq: Seq[String]) => { + val nseq = seq.flatMap(TimeUtil.milliseconds(_)) + val ns = negative(nseq.headOption.getOrElse(0)) + val ne = negative(nseq.tail.headOption.getOrElse(0)) + (ns, ne) + } + case _ => (0, 0) + } + } + + val _ReadOnly = "read.only" + val readOnly = param.getBoolean(_ReadOnly, false) + +// val rowSepLiteral = "\n" + val partitionUnits: List[String] = List("hour", "min", "sec") + val minUnitTime: Long = TimeUtil.timeFromUnit(1, partitionUnits.last) + + val newCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.new") + val oldCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.old") + + protected def saveDataFrame(df: DataFrame, path: String): Unit + protected def saveDataList(arr: Iterable[String], path: String): Unit + protected def readDataFrame(paths: Seq[String]): Option[DataFrame] + protected def removeDataPath(path: String): Unit + + def init(): Unit = {} + + def saveData(dfOpt: Option[DataFrame], ms: Long): Unit = { + if (!readOnly) { + dfOpt match { + case Some(df) => { +// val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) +// if (newCacheLocked) { + try { + val dataFilePath = getDataFilePath(ms) + + // save data + saveDataFrame(df, dataFilePath) + } catch { + case e: Throwable => error(s"save data error: ${e.getMessage}") + } finally { + newCacheLock.unlock() + } +// } + } + case _ => { + info(s"no data frame to save") + } + } + + // submit cache time and ready time + submitCacheTime(ms) + submitReadyTime(ms) + } + } + + // return: (data frame option, time range) + def readData(): (Option[DataFrame], TimeRange) = { + val tr = TimeInfoCache.getTimeRange + val timeRange = (tr._1 + minUnitTime, tr._2) + submitLastProcTime(timeRange._2) + + val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2) + submitCleanTime(reviseTimeRange._1) + + // read directly through partition info + val partitionRanges = getPartitionRange(reviseTimeRange._1, reviseTimeRange._2) + println(s"read time ranges: ${reviseTimeRange}") + println(s"read partition ranges: ${partitionRanges}") + + // list partition paths + val partitionPaths = listPathsBetweenRanges(filePath :: Nil, partitionRanges) + + val dfOpt = if (partitionPaths.isEmpty) { + None + } else { + try { + readDataFrame(partitionPaths) + } catch { + case e: Throwable => { + warn(s"read data source cache warn: ${e.getMessage}") + None + } + } + } + + // from until tmst range + val (from, until) = (reviseTimeRange._1, reviseTimeRange._2 + 1) + val tmstSet = rangeTmsts(from, until) + + val retTimeRange = TimeRange(reviseTimeRange, tmstSet) + (dfOpt, retTimeRange) + } + + // not used actually + def updateData(df: DataFrame, ms: Long): Unit = { +// if (!readOnly) { +// val ptns = getPartition(ms) +// val ptnsPath = genPartitionHdfsPath(ptns) +// val dirPath = s"${filePath}/${ptnsPath}" +// val dataFileName = s"${ms}" +// val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) +// +// try { +// val records = df.toJSON +// val arr = records.collect +// val needSave = !arr.isEmpty +// +// // remove out time old data +// HdfsFileDumpUtil.remove(dirPath, dataFileName, true) +// println(s"remove file path: ${dirPath}/${dataFileName}") +// +// // save updated data +// if (needSave) { +// HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) +// println(s"update file path: ${dataFilePath}") +// } else { +// clearTmst(ms) +// println(s"data source [${dsName}] timestamp [${ms}] cleared") +// } +// } catch { +// case e: Throwable => error(s"update data error: ${e.getMessage}") +// } +// } + } + + // in update data map (not using now) + def updateData(rdd: RDD[String], ms: Long, cnt: Long): Unit = { +// if (!readOnly) { +// val ptns = getPartition(ms) +// val ptnsPath = genPartitionHdfsPath(ptns) +// val dirPath = s"${filePath}/${ptnsPath}" +// val dataFileName = s"${ms}" +// val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) +// +// try { +// // val needSave = !rdd.isEmpty +// +// // remove out time old data +// removeDatPath(dataFilePath) +//// HdfsFileDumpUtil.remove(dirPath, dataFileName, true) +// println(s"remove file path: ${dataFilePath}") +// +// // save updated data +// if (cnt > 0) { +// saveDataRdd(dataFilePath) +//// HdfsFileDumpUtil.dump(dataFilePath, rdd, rowSepLiteral) +// println(s"update file path: ${dataFilePath}") +// } else { +// clearTmst(ms) +// println(s"data source [${dsName}] timestamp [${ms}] cleared") +// } +// } catch { +// case e: Throwable => error(s"update data error: ${e.getMessage}") +// } finally { +// rdd.unpersist() +// } +// } + } + + // in streaming mode + def updateData(arr: Iterable[String], ms: Long): Unit = { + if (!readOnly) { + val dataFilePath = getDataFilePath(ms) + + try { + val needSave = !arr.isEmpty + + // remove out time old data + removeDataPath(dataFilePath) +// HdfsFileDumpUtil.remove(dirPath, dataFileName, true) + println(s"remove file path: ${dataFilePath}") + + // save updated data + if (needSave) { + saveDataList(arr, dataFilePath) +// HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) + println(s"update file path: ${dataFilePath}") + } else { + clearTmst(ms) + println(s"data source [${dsName}] timestamp [${ms}] cleared") + } + } catch { + case e: Throwable => error(s"update data error: ${e.getMessage}") + } + } + } + + def updateDataMap(dfMap: Map[Long, DataFrame]): Unit = { +// if (!readOnly) { +// val dataMap = dfMap.map { pair => +// val (t, recs) = pair +// val rdd = recs.toJSON +// // rdd.cache +// (t, rdd, rdd.count) +// } +// +// dataMap.foreach { pair => +// val (t, arr, cnt) = pair +// updateData(arr, t, cnt) +// } +// } + } + + def cleanOldData(): Unit = { + if (!readOnly) { +// val oldCacheLocked = oldCacheLock.lock(-1, TimeUnit.SECONDS) +// if (oldCacheLocked) { + try { + val cleanTime = readCleanTime() + cleanTime match { + case Some(ct) => { + println(s"data source [${dsName}] old timestamps clear until [${ct}]") + + // clear out date tmsts + clearTmstsUntil(ct) + + // drop partitions + val bounds = getPartition(ct) + + // list partition paths + val earlierPaths = listPathsEarlierThanBounds(filePath :: Nil, bounds) + + // delete out time data path + earlierPaths.foreach { path => + removeDataPath(path) + } + } + case _ => { + // do nothing + } + } + } catch { + case e: Throwable => error(s"clean old data error: ${e.getMessage}") + } finally { + oldCacheLock.unlock() + } +// } + } + } + + override protected def genCleanTime(ms: Long): Long = { + val minPartitionUnit = partitionUnits.last + val t1 = TimeUtil.timeToUnit(ms, minPartitionUnit) + val t2 = TimeUtil.timeFromUnit(t1, minPartitionUnit) + t2 + } + + private def getPartition(ms: Long): List[Long] = { + partitionUnits.map { unit => + TimeUtil.timeToUnit(ms, unit) + } + } + private def getPartitionRange(ms1: Long, ms2: Long): List[(Long, Long)] = { + getPartition(ms1).zip(getPartition(ms2)) + } + private def genPartitionHdfsPath(partition: List[Long]): String = { + partition.map(prtn => s"${prtn}").mkString("/") + } + private def str2Long(str: String): Option[Long] = { + try { + Some(str.toLong) + } catch { + case e: Throwable => None + } + } + + private def getDataFilePath(ms: Long): String = { + val ptns = getPartition(ms) + val ptnsPath = genPartitionHdfsPath(ptns) + val dirPath = s"${filePath}/${ptnsPath}" + val dataFileName = s"${ms}" + val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) + dataFilePath + } + + + // here the range means [min, max] + private def listPathsBetweenRanges(paths: List[String], + partitionRanges: List[(Long, Long)] + ): List[String] = { + partitionRanges match { + case Nil => paths + case head :: tail => { + val (lb, ub) = head + val curPaths = paths.flatMap { path => + val names = HdfsUtil.listSubPathsByType(path, "dir").toList + names.filter { name => + str2Long(name) match { + case Some(t) => (t >= lb) && (t <= ub) + case _ => false + } + }.map(HdfsUtil.getHdfsFilePath(path, _)) + } + listPathsBetweenRanges(curPaths, tail) + } + } + } + private def listPathsEarlierThanBounds(paths: List[String], bounds: List[Long] + ): List[String] = { + bounds match { + case Nil => paths + case head :: tail => { + val earlierPaths = paths.flatMap { path => + val names = HdfsUtil.listSubPathsByType(path, "dir").toList + names.filter { name => + str2Long(name) match { + case Some(t) => (t < head) + case _ => false + } + }.map(HdfsUtil.getHdfsFilePath(path, _)) + } + val equalPaths = paths.flatMap { path => + val names = HdfsUtil.listSubPathsByType(path, "dir").toList + names.filter { name => + str2Long(name) match { + case Some(t) => (t == head) + case _ => false + } + }.map(HdfsUtil.getHdfsFilePath(path, _)) + } + + tail match { + case Nil => earlierPaths + case _ => earlierPaths ::: listPathsEarlierThanBounds(equalPaths, tail) + } + } + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCacheFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCacheFactory.scala new file mode 100644 index 000000000..178b85226 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCacheFactory.scala @@ -0,0 +1,59 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import org.apache.griffin.measure.data.source.DataSourceFactory._ +import org.apache.griffin.measure.log.Loggable +import org.apache.spark.sql.SQLContext +import org.apache.griffin.measure.utils.ParamUtil._ + +object DataSourceCacheFactory extends Loggable { + + private object DataSourceCacheType { + val parquet = "^(?i)parq(uet)?$".r + val json = "^(?i)json$".r + val orc = "^(?i)orc$".r + } + import DataSourceCacheType._ + + val _type = "type" + + def genDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], + name: String, index: Int + ) = { + if (param != null) { + try { + val tp = param.getString(_type, "") + val dsCache = tp match { + case parquet() => ParquetDataSourceCache(sqlContext, param, name, index) + case json() => JsonDataSourceCache(sqlContext, param, name, index) + case orc() => OrcDataSourceCache(sqlContext, param, name, index) + case _ => ParquetDataSourceCache(sqlContext, param, name, index) + } + Some(dsCache) + } catch { + case e: Throwable => { + error(s"generate data source cache fails") + None + } + } + } else None + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceTextCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceTextCache.scala new file mode 100644 index 000000000..4f45d87e5 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceTextCache.scala @@ -0,0 +1,422 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import org.apache.griffin.measure.log.Loggable +import org.apache.griffin.measure.utils.{HdfsFileDumpUtil, HdfsUtil} +import org.apache.spark.rdd.RDD +import org.apache.spark.sql.{DataFrame, SQLContext} + +case class DataSourceTextCache(sqlContext: SQLContext, param: Map[String, Any], + dsName: String, index: Int + ) extends DataSourceCache(param, dsName, index) with Loggable { + + val rowSepLiteral = "\n" + + def saveDataFrame(df: DataFrame, path: String): Unit = { + // transform data + val dataRdd: RDD[String] = df.toJSON + // save data + if (!dataRdd.isEmpty) { + HdfsFileDumpUtil.dump(path, dataRdd, rowSepLiteral) + } + } + + def saveDataList(arr: Iterable[String], path: String): Unit = { + HdfsFileDumpUtil.dump(path, arr, rowSepLiteral) + } + + def readDataFrame(paths: Seq[String]): Option[DataFrame] = { +// paths.foreach(println) + Some(sqlContext.read.json(paths: _*)) + } + + def removeDataPath(path: String): Unit = { + println(s"delete hdfs path: ${path}") + HdfsUtil.deleteHdfsPath(path) + } + + // var tmstCache: TmstCache = _ +// protected def rangeTmsts(from: Long, until: Long) = tmstCache.range(from, until) +// protected def clearTmst(t: Long) = tmstCache.remove(t) +// protected def clearTmstsUntil(until: Long) = { +// val outDateTmsts = tmstCache.until(until) +// tmstCache.remove(outDateTmsts) +// } + +// val _FilePath = "file.path" +// val _InfoPath = "info.path" +// val _ReadyTimeInterval = "ready.time.interval" +// val _ReadyTimeDelay = "ready.time.delay" +// val _TimeRange = "time.range" +// +// val defFilePath = s"hdfs:///griffin/cache/${dsName}/${index}" +// val defInfoPath = s"${index}" +// +// val filePath: String = param.getString(_FilePath, defFilePath) +// val cacheInfoPath: String = param.getString(_InfoPath, defInfoPath) +// val readyTimeInterval: Long = TimeUtil.milliseconds(param.getString(_ReadyTimeInterval, "1m")).getOrElse(60000L) +// val readyTimeDelay: Long = TimeUtil.milliseconds(param.getString(_ReadyTimeDelay, "1m")).getOrElse(60000L) +// val deltaTimeRange: (Long, Long) = { +// def negative(n: Long): Long = if (n <= 0) n else 0 +// param.get(_TimeRange) match { +// case Some(seq: Seq[String]) => { +// val nseq = seq.flatMap(TimeUtil.milliseconds(_)) +// val ns = negative(nseq.headOption.getOrElse(0)) +// val ne = negative(nseq.tail.headOption.getOrElse(0)) +// (ns, ne) +// } +// case _ => (0, 0) +// } +// } + +// val _WriteInfoPath = "write.info.path" +// val _ReadInfoPath = "read.info.path" +// val writeCacheInfoPath = param.getString(_WriteInfoPath, defInfoPath) +// val readCacheInfoPath = param.getString(_ReadInfoPath, defInfoPath) + +// val _ReadOnly = "read.only" +// val readOnly = param.getBoolean(_ReadOnly, false) +// +// val rowSepLiteral = "\n" +// val partitionUnits: List[String] = List("hour", "min", "sec") +// val minUnitTime: Long = TimeUtil.timeFromUnit(1, partitionUnits.last) +// +// val newCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.new") +// val oldCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.old") + +// def init(): Unit = { +// ; +// } +// +// def saveData(dfOpt: Option[DataFrame], ms: Long): Unit = { +// if (!readOnly) { +// dfOpt match { +// case Some(df) => { +// val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) +// if (newCacheLocked) { +// try { +// val ptns = getPartition(ms) +// val ptnsPath = genPartitionHdfsPath(ptns) +// val dirPath = s"${filePath}/${ptnsPath}" +// val dataFileName = s"${ms}" +// val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) +// +// // transform data +// val dataRdd: RDD[String] = df.toJSON +// +// // save data +// // val dumped = if (!dataRdd.isEmpty) { +// // HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) +// // } else false +// +// if (!dataRdd.isEmpty) { +// HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) +// } +// +// } catch { +// case e: Throwable => error(s"save data error: ${e.getMessage}") +// } finally { +// newCacheLock.unlock() +// } +// } +// } +// case _ => { +// info(s"no data frame to save") +// } +// } +// +// // submit cache time and ready time +// submitCacheTime(ms) +// submitReadyTime(ms) +// } +// } +// +// // return: (data frame option, time range) +// def readData(): (Option[DataFrame], TimeRange) = { +// val tr = TimeInfoCache.getTimeRange +// val timeRange = (tr._1 + minUnitTime, tr._2) +// submitLastProcTime(timeRange._2) +// +// val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2) +// submitCleanTime(reviseTimeRange._1) +// +// // read directly through partition info +// val partitionRanges = getPartitionRange(reviseTimeRange._1, reviseTimeRange._2) +// println(s"read time ranges: ${reviseTimeRange}") +// println(s"read partition ranges: ${partitionRanges}") +// +// // list partition paths +// val partitionPaths = listPathsBetweenRanges(filePath :: Nil, partitionRanges) +//// println(partitionPaths) +// +// val dfOpt = if (partitionPaths.isEmpty) { +// None +// } else { +// try { +// Some(sqlContext.read.json(partitionPaths: _*)) +// } catch { +// case e: Throwable => { +// warn(s"read data source cache warn: ${e.getMessage}") +// None +// } +// } +// } +// +// // from until tmst range +// val (from, until) = (reviseTimeRange._1, reviseTimeRange._2 + 1) +// val tmstSet = rangeTmsts(from, until) +// +// val retTimeRange = TimeRange(reviseTimeRange, tmstSet) +// (dfOpt, retTimeRange) +// } +// +// // not used actually +// def updateData(df: DataFrame, ms: Long): Unit = { +// if (!readOnly) { +// val ptns = getPartition(ms) +// val ptnsPath = genPartitionHdfsPath(ptns) +// val dirPath = s"${filePath}/${ptnsPath}" +// val dataFileName = s"${ms}" +// val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) +// +// try { +// val records = df.toJSON +// val arr = records.collect +// val needSave = !arr.isEmpty +// +// // remove out time old data +// HdfsFileDumpUtil.remove(dirPath, dataFileName, true) +// println(s"remove file path: ${dirPath}/${dataFileName}") +// +// // save updated data +// if (needSave) { +// HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) +// println(s"update file path: ${dataFilePath}") +// } else { +// clearTmst(ms) +// println(s"data source [${dsName}] timestamp [${ms}] cleared") +// } +// } catch { +// case e: Throwable => error(s"update data error: ${e.getMessage}") +// } +// } +// } +// +// // in update data map (not using now) +// def updateData(rdd: RDD[String], ms: Long, cnt: Long): Unit = { +// if (!readOnly) { +// val ptns = getPartition(ms) +// val ptnsPath = genPartitionHdfsPath(ptns) +// val dirPath = s"${filePath}/${ptnsPath}" +// val dataFileName = s"${ms}" +// val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) +// +// try { +// // val needSave = !rdd.isEmpty +// +// // remove out time old data +// HdfsFileDumpUtil.remove(dirPath, dataFileName, true) +// println(s"remove file path: ${dirPath}/${dataFileName}") +// +// // save updated data +// if (cnt > 0) { +// HdfsFileDumpUtil.dump(dataFilePath, rdd, rowSepLiteral) +// println(s"update file path: ${dataFilePath}") +// } else { +// clearTmst(ms) +// println(s"data source [${dsName}] timestamp [${ms}] cleared") +// } +// } catch { +// case e: Throwable => error(s"update data error: ${e.getMessage}") +// } finally { +// rdd.unpersist() +// } +// } +// } +// +// // in streaming mode +// def updateData(arr: Iterable[String], ms: Long): Unit = { +// if (!readOnly) { +// val ptns = getPartition(ms) +// val ptnsPath = genPartitionHdfsPath(ptns) +// val dirPath = s"${filePath}/${ptnsPath}" +// val dataFileName = s"${ms}" +// val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) +// +// try { +// val needSave = !arr.isEmpty +// +// // remove out time old data +// HdfsFileDumpUtil.remove(dirPath, dataFileName, true) +// println(s"remove file path: ${dirPath}/${dataFileName}") +// +// // save updated data +// if (needSave) { +// HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) +// println(s"update file path: ${dataFilePath}") +// } else { +// clearTmst(ms) +// println(s"data source [${dsName}] timestamp [${ms}] cleared") +// } +// } catch { +// case e: Throwable => error(s"update data error: ${e.getMessage}") +// } +// } +// } +// +// def updateDataMap(dfMap: Map[Long, DataFrame]): Unit = { +// if (!readOnly) { +// val dataMap = dfMap.map { pair => +// val (t, recs) = pair +// val rdd = recs.toJSON +// // rdd.cache +// (t, rdd, rdd.count) +// } +// +// dataMap.foreach { pair => +// val (t, arr, cnt) = pair +// updateData(arr, t, cnt) +// } +// } +// } +// +// def cleanOldData(): Unit = { +// if (!readOnly) { +// val oldCacheLocked = oldCacheLock.lock(-1, TimeUnit.SECONDS) +// if (oldCacheLocked) { +// try { +// val cleanTime = readCleanTime() +// cleanTime match { +// case Some(ct) => { +// println(s"data source [${dsName}] old timestamps clear until [${ct}]") +// +// // clear out date tmsts +// clearTmstsUntil(ct) +// +// // drop partitions +// val bounds = getPartition(ct) +// +// // list partition paths +// val earlierPaths = listPathsEarlierThanBounds(filePath :: Nil, bounds) +// +// // delete out time data path +// earlierPaths.foreach { path => +// println(s"delete hdfs path: ${path}") +// HdfsUtil.deleteHdfsPath(path) +// } +// } +// case _ => { +// // do nothing +// } +// } +// } catch { +// case e: Throwable => error(s"clean old data error: ${e.getMessage}") +// } finally { +// oldCacheLock.unlock() +// } +// } +// } +// } +// +// override protected def genCleanTime(ms: Long): Long = { +// val minPartitionUnit = partitionUnits.last +// val t1 = TimeUtil.timeToUnit(ms, minPartitionUnit) +// val t2 = TimeUtil.timeFromUnit(t1, minPartitionUnit) +// t2 +// } +// +// private def getPartition(ms: Long): List[Long] = { +// partitionUnits.map { unit => +// TimeUtil.timeToUnit(ms, unit) +// } +// } +// private def getPartitionRange(ms1: Long, ms2: Long): List[(Long, Long)] = { +// getPartition(ms1).zip(getPartition(ms2)) +//// partitionUnits.map { unit => +//// val t1 = TimeUtil.timeToUnit(ms1, unit) +//// val t2 = TimeUtil.timeToUnit(ms2, unit) +//// (t1, t2) +//// } +// } +// private def genPartitionHdfsPath(partition: List[Long]): String = { +// partition.map(prtn => s"${prtn}").mkString("/") +// } +// private def str2Long(str: String): Option[Long] = { +// try { +// Some(str.toLong) +// } catch { +// case e: Throwable => None +// } +// } +// +// +// // here the range means [min, max] +// private def listPathsBetweenRanges(paths: List[String], +// partitionRanges: List[(Long, Long)] +// ): List[String] = { +// partitionRanges match { +// case Nil => paths +// case head :: tail => { +// val (lb, ub) = head +// val curPaths = paths.flatMap { path => +// val names = HdfsUtil.listSubPathsByType(path, "dir").toList +// names.filter { name => +// str2Long(name) match { +// case Some(t) => (t >= lb) && (t <= ub) +// case _ => false +// } +// }.map(HdfsUtil.getHdfsFilePath(path, _)) +// } +// listPathsBetweenRanges(curPaths, tail) +// } +// } +// } +// private def listPathsEarlierThanBounds(paths: List[String], bounds: List[Long] +// ): List[String] = { +// bounds match { +// case Nil => paths +// case head :: tail => { +// val earlierPaths = paths.flatMap { path => +// val names = HdfsUtil.listSubPathsByType(path, "dir").toList +// names.filter { name => +// str2Long(name) match { +// case Some(t) => (t < head) +// case _ => false +// } +// }.map(HdfsUtil.getHdfsFilePath(path, _)) +// } +// val equalPaths = paths.flatMap { path => +// val names = HdfsUtil.listSubPathsByType(path, "dir").toList +// names.filter { name => +// str2Long(name) match { +// case Some(t) => (t == head) +// case _ => false +// } +// }.map(HdfsUtil.getHdfsFilePath(path, _)) +// } +// +// tail match { +// case Nil => earlierPaths +// case _ => earlierPaths ::: listPathsEarlierThanBounds(equalPaths, tail) +// } +// } +// } +// } +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/JsonDataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/JsonDataSourceCache.scala new file mode 100644 index 000000000..e284d47fd --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/JsonDataSourceCache.scala @@ -0,0 +1,40 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import org.apache.spark.sql.{DataFrame, DataFrameReader, DataFrameWriter, SQLContext} + +case class JsonDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], + dsName: String, index: Int + ) extends DataSourceCache { + + override def init(): Unit = { +// sqlContext.sparkContext.hadoopConfiguration.set("parquet.enable.summary-metadata", "false"); + } + + def writeDataFrame(dfw: DataFrameWriter, path: String): Unit = { + println(s"write path: ${path}") + dfw.json(path) + } + + def readDataFrame(dfr: DataFrameReader, path: String): DataFrame = { + dfr.json(path) + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OrcDataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OrcDataSourceCache.scala new file mode 100644 index 000000000..7b92bef6d --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/OrcDataSourceCache.scala @@ -0,0 +1,40 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import org.apache.spark.sql.{DataFrame, DataFrameReader, DataFrameWriter, SQLContext} + +case class OrcDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], + dsName: String, index: Int + ) extends DataSourceCache { + + override def init(): Unit = { +// sqlContext.sparkContext.hadoopConfiguration.set("parquet.enable.summary-metadata", "false"); + } + + def writeDataFrame(dfw: DataFrameWriter, path: String): Unit = { + println(s"write path: ${path}") + dfw.orc(path) + } + + def readDataFrame(dfr: DataFrameReader, path: String): DataFrame = { + dfr.orc(path) + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala new file mode 100644 index 000000000..1761f562a --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala @@ -0,0 +1,40 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import org.apache.spark.sql.{DataFrame, DataFrameReader, DataFrameWriter, SQLContext} + +case class ParquetDataSourceCache(sqlContext: SQLContext, param: Map[String, Any], + dsName: String, index: Int + ) extends DataSourceCache { + + override def init(): Unit = { + sqlContext.sparkContext.hadoopConfiguration.set("parquet.enable.summary-metadata", "false"); + } + + def writeDataFrame(dfw: DataFrameWriter, path: String): Unit = { + println(s"write path: ${path}") + dfw.parquet(path) + } + + def readDataFrame(dfr: DataFrameReader, path: String): DataFrame = { + dfr.parquet(path) + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DsUpdate.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DsUpdate.scala new file mode 100644 index 000000000..4956b29d6 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/plan/DsUpdate.scala @@ -0,0 +1,24 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.plan + +case class DsUpdate(dsName: String, + stepName: String + ) extends Serializable { +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala new file mode 100644 index 000000000..2ff8feb9c --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala @@ -0,0 +1,198 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process.engine.DataFrameOprs.AccuracyOprKeys +import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.{BatchProcessType, ExportMode, ProcessType, StreamingProcessType} +import org.apache.griffin.measure.rule.adaptor._ +import org.apache.griffin.measure.rule.adaptor.RuleParamKeys._ +import org.apache.griffin.measure.rule.dsl.analyzer.AccuracyAnalyzer +import org.apache.griffin.measure.rule.dsl.expr.{Expr, LogicalExpr} +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.utils.ParamUtil._ +import org.apache.griffin.measure.rule.trans.RuleExportFactory._ +import org.apache.griffin.measure.rule.trans.DsUpdateFactory._ + +case class AccuracyRulePlanTrans(dataSourceNames: Seq[String], + timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType + ) extends RulePlanTrans { + + private object AccuracyKeys { + val _source = "source" + val _target = "target" + val _miss = "miss" + val _total = "total" + val _matched = "matched" + } + import AccuracyKeys._ + + def trans(): RulePlan = { + val details = getDetails(param) + val sourceName = details.getString(_source, dataSourceNames.head) + val targetName = details.getString(_target, dataSourceNames.tail.head) + val analyzer = AccuracyAnalyzer(expr.asInstanceOf[LogicalExpr], sourceName, targetName) + + val mode = ExportMode.defaultMode(procType) + + val ct = timeInfo.calcTime + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + println(s"[${ct}] data source ${sourceName} not exists") + emptyRulePlan + } else { + // 1. miss record + val missRecordsTableName = "__missRecords" + val selClause = s"`${sourceName}`.*" + val missRecordsSql = if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { + println(s"[${ct}] data source ${targetName} not exists") + s"SELECT ${selClause} FROM `${sourceName}`" + } else { + val onClause = expr.coalesceDesc + val sourceIsNull = analyzer.sourceSelectionExprs.map { sel => + s"${sel.desc} IS NULL" + }.mkString(" AND ") + val targetIsNull = analyzer.targetSelectionExprs.map { sel => + s"${sel.desc} IS NULL" + }.mkString(" AND ") + val whereClause = s"(NOT (${sourceIsNull})) AND (${targetIsNull})" + s"SELECT ${selClause} FROM `${sourceName}` LEFT JOIN `${targetName}` ON ${onClause} WHERE ${whereClause}" + } + val missRecordsStep = SparkSqlStep(missRecordsTableName, missRecordsSql, emptyMap, true) + val missRecordsExports = procType match { + case BatchProcessType => { + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + genRecordExport(recordParam, missRecordsTableName, missRecordsTableName, ct, mode) :: Nil + } + case StreamingProcessType => Nil + } + val missRecordsUpdates = procType match { + case BatchProcessType => Nil + case StreamingProcessType => { + val updateParam = emptyMap + genDsUpdate(updateParam, sourceName, missRecordsTableName) :: Nil + } + } + + // 2. miss count + val missCountTableName = "__missCount" + val missColName = details.getStringOrKey(_miss) + val missCountSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}`" + case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${missColName}` FROM `${missRecordsTableName}` GROUP BY `${InternalColumns.tmst}`" + } + val missCountStep = SparkSqlStep(missCountTableName, missCountSql, emptyMap) + + // 3. total count + val totalCountTableName = "__totalCount" + val totalColName = details.getStringOrKey(_total) + val totalCountSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + case StreamingProcessType => s"SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}`" + } + val totalCountStep = SparkSqlStep(totalCountTableName, totalCountSql, emptyMap) + + // 4. accuracy metric + val accuracyTableName = name + val matchedColName = details.getStringOrKey(_matched) + val accuracyMetricSql = procType match { + case BatchProcessType => { + s""" + |SELECT `${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, + |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, + |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` + |FROM `${totalCountTableName}` LEFT JOIN `${missCountTableName}` + """.stripMargin + } + case StreamingProcessType => { + s""" + |SELECT `${totalCountTableName}`.`${InternalColumns.tmst}` AS `${InternalColumns.tmst}`, + |`${totalCountTableName}`.`${totalColName}` AS `${totalColName}`, + |coalesce(`${missCountTableName}`.`${missColName}`, 0) AS `${missColName}`, + |(`${totalColName}` - `${missColName}`) AS `${matchedColName}` + |FROM `${totalCountTableName}` LEFT JOIN `${missCountTableName}` + |ON `${totalCountTableName}`.`${InternalColumns.tmst}` = `${missCountTableName}`.`${InternalColumns.tmst}` + """.stripMargin + } + } + val accuracyStep = SparkSqlStep(accuracyTableName, accuracyMetricSql, emptyMap) + val accuracyExports = procType match { + case BatchProcessType => { + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + genMetricExport(metricParam, accuracyTableName, accuracyTableName, ct, mode) :: Nil + } + case StreamingProcessType => Nil + } + + // current accu plan + val accuSteps = missRecordsStep :: missCountStep :: totalCountStep :: accuracyStep :: Nil + val accuExports = missRecordsExports ++ accuracyExports + val accuUpdates = missRecordsUpdates + val accuPlan = RulePlan(accuSteps, accuExports, accuUpdates) + + // streaming extra accu plan + val streamingAccuPlan = procType match { + case BatchProcessType => emptyRulePlan + case StreamingProcessType => { + // 5. accuracy metric merge + val accuracyMetricTableName = "__accuracy" + val accuracyMetricRule = "accuracy" + val accuracyMetricDetails = Map[String, Any]( + (AccuracyOprKeys._dfName -> accuracyTableName), + (AccuracyOprKeys._miss -> missColName), + (AccuracyOprKeys._total -> totalColName), + (AccuracyOprKeys._matched -> matchedColName) + ) + val accuracyMetricStep = DfOprStep(accuracyMetricTableName, + accuracyMetricRule, accuracyMetricDetails) + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + val accuracyMetricExports = genMetricExport(metricParam, name, accuracyMetricTableName, ct, mode) :: Nil + + // 6. collect accuracy records + val accuracyRecordTableName = "__accuracyRecords" + val accuracyRecordSql = { + s""" + |SELECT `${InternalColumns.tmst}`, `${InternalColumns.empty}` + |FROM `${accuracyMetricTableName}` WHERE `${InternalColumns.record}` + """.stripMargin + } + val accuracyRecordStep = SparkSqlStep(accuracyRecordTableName, accuracyRecordSql, emptyMap) + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val accuracyRecordParam = recordParam.addIfNotExist(ExportParamKeys._dataSourceCache, sourceName) + .addIfNotExist(ExportParamKeys._originDF, missRecordsTableName) + val accuracyRecordExports = genRecordExport( + accuracyRecordParam, missRecordsTableName, accuracyRecordTableName, ct, mode) :: Nil + + // gen accu plan + val extraSteps = accuracyMetricStep :: accuracyRecordStep :: Nil + val extraExports = accuracyMetricExports ++ accuracyRecordExports + val extraPlan = RulePlan(extraSteps, extraExports) + + extraPlan + } + } + + // return accu plan + accuPlan.merge(streamingAccuPlan) + + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala new file mode 100644 index 000000000..0f4e7c4b6 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala @@ -0,0 +1,234 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process.temp.{TableRegisters, TimeRange} +import org.apache.griffin.measure.process._ +import org.apache.griffin.measure.rule.adaptor.RuleParamKeys._ +import org.apache.griffin.measure.rule.adaptor._ +import org.apache.griffin.measure.rule.dsl.{ArrayCollectType, EntriesCollectType} +import org.apache.griffin.measure.rule.dsl.analyzer.DistinctnessAnalyzer +import org.apache.griffin.measure.rule.dsl.expr._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.trans.RuleExportFactory._ +import org.apache.griffin.measure.utils.ParamUtil._ + +case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], + timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType, + dsTimeRanges: Map[String, TimeRange] + ) extends RulePlanTrans { + + private object DistinctnessKeys { + val _source = "source" + val _target = "target" + val _distinct = "distinct" + val _total = "total" + val _dup = "dup" + val _accu_dup = "accu_dup" + val _num = "num" + + val _duplicationArray = "duplication.array" + val _withAccumulate = "with.accumulate" + } + import DistinctnessKeys._ + + def trans(): RulePlan = { + val details = getDetails(param) + val sourceName = details.getString(_source, dataSourceNames.head) + val targetName = details.getString(_target, dataSourceNames.tail.head) + val analyzer = DistinctnessAnalyzer(expr.asInstanceOf[DistinctnessClause], sourceName) + + val mode = SimpleMode + + val ct = timeInfo.calcTime + + val sourceTimeRange = dsTimeRanges.get(sourceName).getOrElse(TimeRange(ct)) + val beginTime = sourceTimeRange.begin + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + println(s"[${ct}] data source ${sourceName} not exists") + emptyRulePlan + } else { + val withOlderTable = { + details.getBoolean(_withAccumulate, true) && + TableRegisters.existRunTempTable(timeInfo.key, targetName) + } + + val selClause = analyzer.selectionPairs.map { pair => + val (expr, alias) = pair + s"${expr.desc} AS `${alias}`" + }.mkString(", ") + val aliases = analyzer.selectionPairs.map(_._2) + val aliasesClause = aliases.map( a => s"`${a}`" ).mkString(", ") + + // 1. source alias + val sourceAliasTableName = "__sourceAlias" + val sourceAliasSql = { + s"SELECT ${selClause} FROM `${sourceName}`" + } + val sourceAliasStep = SparkSqlStep(sourceAliasTableName, sourceAliasSql, emptyMap, true) + + // 2. total metric + val totalTableName = "__totalMetric" + val totalColName = details.getStringOrKey(_total) + val totalSql = { + s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceAliasTableName}`" + } + val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) + val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, beginTime, mode) + + // 3. group by self + val selfGroupTableName = "__selfGroup" + val dupColName = details.getStringOrKey(_dup) + val accuDupColName = details.getStringOrKey(_accu_dup) + val selfGroupSql = { + s""" + |SELECT ${aliasesClause}, (COUNT(*) - 1) AS `${dupColName}`, + |TRUE AS `${InternalColumns.distinct}` + |FROM `${sourceAliasTableName}` GROUP BY ${aliasesClause} + """.stripMargin + } + val selfGroupStep = SparkSqlStep(selfGroupTableName, selfGroupSql, emptyMap, true) + + val selfDistRulePlan = RulePlan( + sourceAliasStep :: totalStep :: selfGroupStep :: Nil, + totalMetricExport :: Nil + ) + + val (distRulePlan, dupCountTableName) = procType match { + case StreamingProcessType if (withOlderTable) => { + // 4. older alias + val olderAliasTableName = "__older" + val olderAliasSql = { + s"SELECT ${selClause} FROM `${targetName}` WHERE `${InternalColumns.tmst}` < ${beginTime}" + } + val olderAliasStep = SparkSqlStep(olderAliasTableName, olderAliasSql, emptyMap) + + // 5. join with older data + val joinedTableName = "__joined" + val selfSelClause = (aliases :+ dupColName).map { alias => + s"`${selfGroupTableName}`.`${alias}`" + }.mkString(", ") + val onClause = aliases.map { alias => + s"coalesce(`${selfGroupTableName}`.`${alias}`, '') = coalesce(`${olderAliasTableName}`.`${alias}`, '')" + }.mkString(" AND ") + val olderIsNull = aliases.map { alias => + s"`${olderAliasTableName}`.`${alias}` IS NULL" + }.mkString(" AND ") + val joinedSql = { + s""" + |SELECT ${selfSelClause}, (${olderIsNull}) AS `${InternalColumns.distinct}` + |FROM `${olderAliasTableName}` RIGHT JOIN `${selfGroupTableName}` + |ON ${onClause} + """.stripMargin + } + val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) + + // 6. group by joined data + val groupTableName = "__group" + val moreDupColName = "_more_dup" + val groupSql = { + s""" + |SELECT ${aliasesClause}, `${dupColName}`, `${InternalColumns.distinct}`, + |COUNT(*) AS `${moreDupColName}` + |FROM `${joinedTableName}` + |GROUP BY ${aliasesClause}, `${dupColName}`, `${InternalColumns.distinct}` + """.stripMargin + } + val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap) + + // 7. final duplicate count + val finalDupCountTableName = "__finalDupCount" + val finalDupCountSql = { + s""" + |SELECT ${aliasesClause}, `${InternalColumns.distinct}`, + |CASE WHEN `${InternalColumns.distinct}` THEN `${dupColName}` + |ELSE (`${dupColName}` + 1) END AS `${dupColName}`, + |CASE WHEN `${InternalColumns.distinct}` THEN `${dupColName}` + |ELSE (`${dupColName}` + `${moreDupColName}`) END AS `${accuDupColName}` + |FROM `${groupTableName}` + """.stripMargin + } + val finalDupCountStep = SparkSqlStep(finalDupCountTableName, finalDupCountSql, emptyMap, true) + + val rulePlan = RulePlan(olderAliasStep :: joinedStep :: groupStep :: finalDupCountStep :: Nil, Nil) + (rulePlan, finalDupCountTableName) + } + case _ => { + (emptyRulePlan, selfGroupTableName) + } + } + + // 8. distinct metric + val distTableName = "__distMetric" + val distColName = details.getStringOrKey(_distinct) + val distSql = { + s""" + |SELECT COUNT(*) AS `${distColName}` + |FROM `${dupCountTableName}` WHERE `${InternalColumns.distinct}` + """.stripMargin + } + val distStep = SparkSqlStep(distTableName, distSql, emptyMap) + val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, beginTime, mode) + + val distMetricRulePlan = RulePlan(distStep :: Nil, distMetricExport :: Nil) + + val duplicationArrayName = details.getString(_duplicationArray, "") + val dupRulePlan = if (duplicationArrayName.nonEmpty) { + // 9. duplicate record + val dupRecordTableName = "__dupRecords" + val dupRecordSelClause = procType match { + case StreamingProcessType if (withOlderTable) => s"${aliasesClause}, `${dupColName}`, `${accuDupColName}`" + case _ => s"${aliasesClause}, `${dupColName}`" + } + val dupRecordSql = { + s""" + |SELECT ${dupRecordSelClause} + |FROM `${dupCountTableName}` WHERE `${dupColName}` > 0 + """.stripMargin + } + val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) + val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, beginTime, mode) + + // 10. duplicate metric + val dupMetricTableName = "__dupMetric" + val numColName = details.getStringOrKey(_num) + val dupMetricSql = { + s""" + |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` + |FROM `${dupRecordTableName}` GROUP BY `${dupColName}` + """.stripMargin + } + val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) + val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, beginTime, mode) + + RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) + } else emptyRulePlan + + selfDistRulePlan.merge(distRulePlan).merge(distMetricRulePlan).merge(dupRulePlan) + + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DsUpdateFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DsUpdateFactory.scala new file mode 100644 index 000000000..772163e38 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DsUpdateFactory.scala @@ -0,0 +1,37 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.utils.ParamUtil._ + +object DsUpdateFactory { + + def genDsUpdate(param: Map[String, Any], defDsName: String, + stepName: String): DsUpdate = { + DsUpdate(UpdateParamKeys.getName(param, defDsName), stepName) + } + +} + +object UpdateParamKeys { + val _name = "name" + + def getName(param: Map[String, Any], defName: String): String = param.getString(_name, defName) +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala new file mode 100644 index 000000000..d9d2d4e20 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala @@ -0,0 +1,98 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.{BatchProcessType, ExportMode, ProcessType, StreamingProcessType} +import org.apache.griffin.measure.rule.adaptor.RuleParamKeys._ +import org.apache.griffin.measure.rule.adaptor._ +import org.apache.griffin.measure.rule.dsl.analyzer.ProfilingAnalyzer +import org.apache.griffin.measure.rule.dsl.expr._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.trans.RuleExportFactory._ +import org.apache.griffin.measure.utils.ParamUtil._ + +case class ProfilingRulePlanTrans(dataSourceNames: Seq[String], + timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType + ) extends RulePlanTrans { + + private object ProfilingKeys { + val _source = "source" + } + import ProfilingKeys._ + + def trans(): RulePlan = { + val details = getDetails(param) + val profilingClause = expr.asInstanceOf[ProfilingClause] + val sourceName = profilingClause.fromClauseOpt match { + case Some(fc) => fc.dataSource + case _ => details.getString(_source, dataSourceNames.head) + } + val fromClause = profilingClause.fromClauseOpt.getOrElse(FromClause(sourceName)).desc + + val mode = ExportMode.defaultMode(procType) + + val ct = timeInfo.calcTime + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + emptyRulePlan + } else { + val analyzer = ProfilingAnalyzer(profilingClause, sourceName) + val selExprDescs = analyzer.selectionExprs.map { sel => + val alias = sel match { + case s: AliasableExpr if (s.alias.nonEmpty) => s" AS `${s.alias.get}`" + case _ => "" + } + s"${sel.desc}${alias}" + } + val selCondition = profilingClause.selectClause.extraConditionOpt.map(_.desc).mkString + val selClause = procType match { + case BatchProcessType => selExprDescs.mkString(", ") + case StreamingProcessType => (s"`${InternalColumns.tmst}`" +: selExprDescs).mkString(", ") + } + val groupByClauseOpt = analyzer.groupbyExprOpt + val groupbyClause = procType match { + case BatchProcessType => groupByClauseOpt.map(_.desc).getOrElse("") + case StreamingProcessType => { + val tmstGroupbyClause = GroupbyClause(LiteralStringExpr(s"`${InternalColumns.tmst}`") :: Nil, None) + val mergedGroubbyClause = tmstGroupbyClause.merge(groupByClauseOpt match { + case Some(gbc) => gbc + case _ => GroupbyClause(Nil, None) + }) + mergedGroubbyClause.desc + } + } + val preGroupbyClause = analyzer.preGroupbyExprs.map(_.desc).mkString(" ") + val postGroupbyClause = analyzer.postGroupbyExprs.map(_.desc).mkString(" ") + + // 1. select statement + val profilingSql = { + s"SELECT ${selCondition} ${selClause} ${fromClause} ${preGroupbyClause} ${groupbyClause} ${postGroupbyClause}" + } + val profilingName = name + val profilingStep = SparkSqlStep(profilingName, profilingSql, details) + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + val profilingExports = genMetricExport(metricParam, name, profilingName, ct, mode) :: Nil + + RulePlan(profilingStep :: Nil, profilingExports) + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RuleExportFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RuleExportFactory.scala new file mode 100644 index 000000000..915e654cf --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RuleExportFactory.scala @@ -0,0 +1,65 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process.ExportMode +import org.apache.griffin.measure.rule.dsl.CollectType +import org.apache.griffin.measure.rule.plan._ + +import org.apache.griffin.measure.utils.ParamUtil._ + +object RuleExportFactory { + + def genMetricExport(param: Map[String, Any], name: String, stepName: String, + defTimestamp: Long, mode: ExportMode + ): MetricExport = { + MetricExport( + ExportParamKeys.getName(param, name), + stepName, + ExportParamKeys.getCollectType(param), + defTimestamp, + mode + ) + } + def genRecordExport(param: Map[String, Any], name: String, stepName: String, + defTimestamp: Long, mode: ExportMode + ): RecordExport = { + RecordExport( + ExportParamKeys.getName(param, name), + stepName, + ExportParamKeys.getDataSourceCacheOpt(param), + ExportParamKeys.getOriginDFOpt(param), + defTimestamp, + mode + ) + } + +} + +object ExportParamKeys { + val _name = "name" + val _collectType = "collect.type" + val _dataSourceCache = "data.source.cache" + val _originDF = "origin.DF" + + def getName(param: Map[String, Any], defName: String): String = param.getString(_name, defName) + def getCollectType(param: Map[String, Any]): CollectType = CollectType(param.getString(_collectType, "")) + def getDataSourceCacheOpt(param: Map[String, Any]): Option[String] = param.get(_dataSourceCache).map(_.toString) + def getOriginDFOpt(param: Map[String, Any]): Option[String] = param.get(_originDF).map(_.toString) +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala new file mode 100644 index 000000000..b7226ba9b --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala @@ -0,0 +1,57 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.log.Loggable +import org.apache.griffin.measure.process.ProcessType +import org.apache.griffin.measure.process.temp.TimeRange +import org.apache.griffin.measure.rule.dsl._ +import org.apache.griffin.measure.rule.dsl.expr.Expr +import org.apache.griffin.measure.rule.plan._ + +trait RulePlanTrans extends Loggable with Serializable { + + protected val emptyRulePlan = RulePlan(Nil, Nil) + protected val emptyMap = Map[String, Any]() + + def trans(): RulePlan + +} + +object RulePlanTrans { + private val emptyRulePlanTrans = new RulePlanTrans { + def trans(): RulePlan = emptyRulePlan + } + + def apply(dqType: DqType, + dsNames: Seq[String], + ti: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType, + dsTimeRanges: Map[String, TimeRange] + ): RulePlanTrans = { + dqType match { + case AccuracyType => AccuracyRulePlanTrans(dsNames, ti, name, expr, param, procType) + case ProfilingType => ProfilingRulePlanTrans(dsNames, ti, name, expr, param, procType) + case UniquenessType => UniquenessRulePlanTrans(dsNames, ti, name, expr, param, procType) + case DistinctnessType => DistinctnessRulePlanTrans(dsNames, ti, name, expr, param, procType, dsTimeRanges) + case TimelinessType => TimelinessRulePlanTrans(dsNames, ti, name, expr, param, procType) + case _ => emptyRulePlanTrans + } + } +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala new file mode 100644 index 000000000..06dee60dd --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala @@ -0,0 +1,239 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.{BatchProcessType, ExportMode, ProcessType, StreamingProcessType} +import org.apache.griffin.measure.rule.adaptor.RuleParamKeys._ +import org.apache.griffin.measure.rule.adaptor._ +import org.apache.griffin.measure.rule.dsl.ArrayCollectType +import org.apache.griffin.measure.rule.dsl.analyzer.TimelinessAnalyzer +import org.apache.griffin.measure.rule.dsl.expr._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.trans.RuleExportFactory._ +import org.apache.griffin.measure.utils.ParamUtil._ +import org.apache.griffin.measure.utils.TimeUtil + +case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], + timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType + ) extends RulePlanTrans { + + private object TimelinessKeys { + val _source = "source" + val _latency = "latency" + val _total = "total" + val _avg = "avg" + val _threshold = "threshold" + val _step = "step" + val _count = "count" + val _stepSize = "step.size" + } + import TimelinessKeys._ + + def trans(): RulePlan = { + val details = getDetails(param) + val timelinessClause = expr.asInstanceOf[TimelinessClause] + val sourceName = details.getString(_source, dataSourceNames.head) + + val mode = ExportMode.defaultMode(procType) + + val ct = timeInfo.calcTime + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + emptyRulePlan + } else { + val analyzer = TimelinessAnalyzer(timelinessClause, sourceName) + val btsSel = analyzer.btsExpr + val etsSelOpt = analyzer.etsExprOpt + + // 1. in time + val inTimeTableName = "__inTime" + val inTimeSql = etsSelOpt match { + case Some(etsSel) => { + s""" + |SELECT *, (${btsSel}) AS `${InternalColumns.beginTs}`, + |(${etsSel}) AS `${InternalColumns.endTs}` + |FROM ${sourceName} WHERE (${btsSel}) IS NOT NULL AND (${etsSel}) IS NOT NULL + """.stripMargin + } + case _ => { + s""" + |SELECT *, (${btsSel}) AS `${InternalColumns.beginTs}` + |FROM ${sourceName} WHERE (${btsSel}) IS NOT NULL + """.stripMargin + } + } + val inTimeStep = SparkSqlStep(inTimeTableName, inTimeSql, emptyMap) + + // 2. latency + val latencyTableName = "__lat" + val latencyColName = details.getStringOrKey(_latency) + val etsColName = etsSelOpt match { + case Some(_) => InternalColumns.endTs + case _ => InternalColumns.tmst + } + val latencySql = { + s"SELECT *, (`${etsColName}` - `${InternalColumns.beginTs}`) AS `${latencyColName}` FROM `${inTimeTableName}`" + } + val latencyStep = SparkSqlStep(latencyTableName, latencySql, emptyMap, true) + + // 3. timeliness metric + val metricTableName = name + val totalColName = details.getStringOrKey(_total) + val avgColName = details.getStringOrKey(_avg) + val metricSql = procType match { + case BatchProcessType => { + s""" + |SELECT COUNT(*) AS `${totalColName}`, + |CAST(AVG(`${latencyColName}`) AS BIGINT) AS `${avgColName}` + |FROM `${latencyTableName}` + """.stripMargin + } + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, + |COUNT(*) AS `${totalColName}`, + |CAST(AVG(`${latencyColName}`) AS BIGINT) AS `${avgColName}` + |FROM `${latencyTableName}` + |GROUP BY `${InternalColumns.tmst}` + """.stripMargin + } + } + val metricStep = SparkSqlStep(metricTableName, metricSql, emptyMap) + val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) + val metricExports = genMetricExport(metricParam, name, metricTableName, ct, mode) :: Nil + + // current timeliness plan + val timeSteps = inTimeStep :: latencyStep :: metricStep :: Nil + val timeExports = metricExports + val timePlan = RulePlan(timeSteps, timeExports) + + // 4. timeliness record + val recordPlan = TimeUtil.milliseconds(details.getString(_threshold, "")) match { + case Some(tsh) => { + val recordTableName = "__lateRecords" + val recordSql = { + s"SELECT * FROM `${latencyTableName}` WHERE `${latencyColName}` > ${tsh}" + } + val recordStep = SparkSqlStep(recordTableName, recordSql, emptyMap) + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val recordExports = genRecordExport(recordParam, recordTableName, recordTableName, ct, mode) :: Nil + RulePlan(recordStep :: Nil, recordExports) + } + case _ => emptyRulePlan + } + +// 5. ranges +// val rangePlan = details.get(_rangeSplit) match { +// case Some(arr: Seq[String]) => { +// val ranges = splitTimeRanges(arr) +// if (ranges.size > 0) { +// try { +// // 5.1. range +// val rangeTableName = "__range" +// val rangeColName = details.getStringOrKey(_range) +// val caseClause = { +// val whenClause = ranges.map { range => +// s"WHEN `${latencyColName}` < ${range._1} THEN '<${range._2}'" +// }.mkString("\n") +// s"CASE ${whenClause} ELSE '>=${ranges.last._2}' END AS `${rangeColName}`" +// } +// val rangeSql = { +// s"SELECT *, ${caseClause} FROM `${latencyTableName}`" +// } +// val rangeStep = SparkSqlStep(rangeTableName, rangeSql, emptyMap) +// +// // 5.2. range metric +// val rangeMetricTableName = "__rangeMetric" +// val countColName = details.getStringOrKey(_count) +// val rangeMetricSql = procType match { +// case BatchProcessType => { +// s""" +// |SELECT `${rangeColName}`, COUNT(*) AS `${countColName}` +// |FROM `${rangeTableName}` GROUP BY `${rangeColName}` +// """.stripMargin +// } +// case StreamingProcessType => { +// s""" +// |SELECT `${InternalColumns.tmst}`, `${rangeColName}`, COUNT(*) AS `${countColName}` +// |FROM `${rangeTableName}` GROUP BY `${InternalColumns.tmst}`, `${rangeColName}` +// """.stripMargin +// } +// } +// val rangeMetricStep = SparkSqlStep(rangeMetricTableName, rangeMetricSql, emptyMap) +// val rangeMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) +// val rangeMetricExports = genMetricExport(rangeMetricParam, rangeColName, rangeMetricTableName, ct, mode) :: Nil +// +// RulePlan(rangeStep :: rangeMetricStep :: Nil, rangeMetricExports) +// } catch { +// case _: Throwable => emptyRulePlan +// } +// } else emptyRulePlan +// } +// case _ => emptyRulePlan +// } + +// return timeliness plan + + // 5. ranges + val rangePlan = TimeUtil.milliseconds(details.getString(_stepSize, "")) match { + case Some(stepSize) => { + // 5.1 range + val rangeTableName = "__range" + val stepColName = details.getStringOrKey(_step) + val rangeSql = { + s""" + |SELECT *, CAST((`${latencyColName}` / ${stepSize}) AS BIGINT) AS `${stepColName}` + |FROM `${latencyTableName}` + """.stripMargin + } + val rangeStep = SparkSqlStep(rangeTableName, rangeSql, emptyMap) + + // 5.2 range metric + val rangeMetricTableName = "__rangeMetric" + val countColName = details.getStringOrKey(_count) + val rangeMetricSql = procType match { + case BatchProcessType => { + s""" + |SELECT `${stepColName}`, COUNT(*) AS `${countColName}` + |FROM `${rangeTableName}` GROUP BY `${stepColName}` + """.stripMargin + } + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, `${stepColName}`, COUNT(*) AS `${countColName}` + |FROM `${rangeTableName}` GROUP BY `${InternalColumns.tmst}`, `${stepColName}` + """.stripMargin + } + } + val rangeMetricStep = SparkSqlStep(rangeMetricTableName, rangeMetricSql, emptyMap) + val rangeMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val rangeMetricExports = genMetricExport(rangeMetricParam, stepColName, rangeMetricTableName, ct, mode) :: Nil + + RulePlan(rangeStep :: rangeMetricStep :: Nil, rangeMetricExports) + } + case _ => emptyRulePlan + } + + timePlan.merge(recordPlan).merge(rangePlan) + } + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala new file mode 100644 index 000000000..326d80bc0 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala @@ -0,0 +1,198 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.trans + +import org.apache.griffin.measure.process._ +import org.apache.griffin.measure.process.temp._ +import org.apache.griffin.measure.rule.adaptor.RuleParamKeys._ +import org.apache.griffin.measure.rule.adaptor._ +import org.apache.griffin.measure.rule.dsl.analyzer.UniquenessAnalyzer +import org.apache.griffin.measure.rule.dsl.expr._ +import org.apache.griffin.measure.rule.dsl._ +import org.apache.griffin.measure.rule.plan._ +import org.apache.griffin.measure.rule.trans.RuleExportFactory._ +import org.apache.griffin.measure.utils.ParamUtil._ + +case class UniquenessRulePlanTrans(dataSourceNames: Seq[String], + timeInfo: TimeInfo, name: String, expr: Expr, + param: Map[String, Any], procType: ProcessType + ) extends RulePlanTrans { + + private object UniquenessKeys { + val _source = "source" + val _target = "target" + val _unique = "unique" + val _total = "total" + val _dup = "dup" + val _num = "num" + + val _duplicationArray = "duplication.array" + } + import UniquenessKeys._ + + def trans(): RulePlan = { + val details = getDetails(param) + val sourceName = details.getString(_source, dataSourceNames.head) + val targetName = details.getString(_target, dataSourceNames.tail.head) + val analyzer = UniquenessAnalyzer(expr.asInstanceOf[UniquenessClause], sourceName, targetName) + + val mode = ExportMode.defaultMode(procType) + + val ct = timeInfo.calcTime + + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { + println(s"[${ct}] data source ${sourceName} not exists") + emptyRulePlan + } else if (!TableRegisters.existRunTempTable(timeInfo.key, targetName)) { + println(s"[${ct}] data source ${targetName} not exists") + emptyRulePlan + } else { + val selItemsClause = analyzer.selectionPairs.map { pair => + val (expr, alias) = pair + s"${expr.desc} AS `${alias}`" + }.mkString(", ") + val aliases = analyzer.selectionPairs.map(_._2) + + val selClause = procType match { + case BatchProcessType => selItemsClause + case StreamingProcessType => s"`${InternalColumns.tmst}`, ${selItemsClause}" + } + val selAliases = procType match { + case BatchProcessType => aliases + case StreamingProcessType => InternalColumns.tmst +: aliases + } + + // 1. source distinct mapping + val sourceTableName = "__source" + val sourceSql = s"SELECT DISTINCT ${selClause} FROM ${sourceName}" + val sourceStep = SparkSqlStep(sourceTableName, sourceSql, emptyMap) + + // 2. target mapping + val targetTableName = "__target" + val targetSql = s"SELECT ${selClause} FROM ${targetName}" + val targetStep = SparkSqlStep(targetTableName, targetSql, emptyMap) + + // 3. joined + val joinedTableName = "__joined" + val joinedSelClause = selAliases.map { alias => + s"`${sourceTableName}`.`${alias}` AS `${alias}`" + }.mkString(", ") + val onClause = aliases.map { alias => + s"coalesce(`${sourceTableName}`.`${alias}`, '') = coalesce(`${targetTableName}`.`${alias}`, '')" + }.mkString(" AND ") + val joinedSql = { + s"SELECT ${joinedSelClause} FROM `${targetTableName}` RIGHT JOIN `${sourceTableName}` ON ${onClause}" + } + val joinedStep = SparkSqlStep(joinedTableName, joinedSql, emptyMap) + + // 4. group + val groupTableName = "__group" + val groupSelClause = selAliases.map { alias => + s"`${alias}`" + }.mkString(", ") + val dupColName = details.getStringOrKey(_dup) + val groupSql = { + s"SELECT ${groupSelClause}, (COUNT(*) - 1) AS `${dupColName}` FROM `${joinedTableName}` GROUP BY ${groupSelClause}" + } + val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap, true) + + // 5. total metric + val totalTableName = "__totalMetric" + val totalColName = details.getStringOrKey(_total) + val totalSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${totalColName}` FROM `${sourceName}`" + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${totalColName}` + |FROM `${sourceName}` GROUP BY `${InternalColumns.tmst}` + """.stripMargin + } + } + val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) + val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, ct, mode) + + // 6. unique record + val uniqueRecordTableName = "__uniqueRecord" + val uniqueRecordSql = { + s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` = 0" + } + val uniqueRecordStep = SparkSqlStep(uniqueRecordTableName, uniqueRecordSql, emptyMap) + + // 7. unique metric + val uniqueTableName = "__uniqueMetric" + val uniqueColName = details.getStringOrKey(_unique) + val uniqueSql = procType match { + case BatchProcessType => s"SELECT COUNT(*) AS `${uniqueColName}` FROM `${uniqueRecordTableName}`" + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, COUNT(*) AS `${uniqueColName}` + |FROM `${uniqueRecordTableName}` GROUP BY `${InternalColumns.tmst}` + """.stripMargin + } + } + val uniqueStep = SparkSqlStep(uniqueTableName, uniqueSql, emptyMap) + val uniqueMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) + val uniqueMetricExport = genMetricExport(uniqueMetricParam, uniqueColName, uniqueTableName, ct, mode) + + val uniqueSteps = sourceStep :: targetStep :: joinedStep :: groupStep :: + totalStep :: uniqueRecordStep :: uniqueStep :: Nil + val uniqueExports = totalMetricExport :: uniqueMetricExport :: Nil + val uniqueRulePlan = RulePlan(uniqueSteps, uniqueExports) + + val duplicationArrayName = details.getString(_duplicationArray, "") + val dupRulePlan = if (duplicationArrayName.nonEmpty) { + // 8. duplicate record + val dupRecordTableName = "__dupRecords" + val dupRecordSql = { + s"SELECT * FROM `${groupTableName}` WHERE `${dupColName}` > 0" + } + val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) + val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val dupRecordExport = genRecordExport(recordParam, dupRecordTableName, dupRecordTableName, ct, mode) + + // 9. duplicate metric + val dupMetricTableName = "__dupMetric" + val numColName = details.getStringOrKey(_num) + val dupMetricSelClause = procType match { + case BatchProcessType => s"`${dupColName}`, COUNT(*) AS `${numColName}`" + case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`, COUNT(*) AS `${numColName}`" + } + val dupMetricGroupbyClause = procType match { + case BatchProcessType => s"`${dupColName}`" + case StreamingProcessType => s"`${InternalColumns.tmst}`, `${dupColName}`" + } + val dupMetricSql = { + s""" + |SELECT ${dupMetricSelClause} FROM `${dupRecordTableName}` + |GROUP BY ${dupMetricGroupbyClause} + """.stripMargin + } + val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) + val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, ct, mode) + + RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) + } else emptyRulePlan + + uniqueRulePlan.merge(dupRulePlan) + } + } + +} From e02b6888f374989e8a6093e609b7025422570c42 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 31 Jan 2018 13:08:57 +0800 Subject: [PATCH 129/177] delete --- .../source/cache/DataSourceTextCache.scala | 422 ------------------ 1 file changed, 422 deletions(-) delete mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceTextCache.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceTextCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceTextCache.scala deleted file mode 100644 index 4f45d87e5..000000000 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceTextCache.scala +++ /dev/null @@ -1,422 +0,0 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.data.source.cache - -import org.apache.griffin.measure.log.Loggable -import org.apache.griffin.measure.utils.{HdfsFileDumpUtil, HdfsUtil} -import org.apache.spark.rdd.RDD -import org.apache.spark.sql.{DataFrame, SQLContext} - -case class DataSourceTextCache(sqlContext: SQLContext, param: Map[String, Any], - dsName: String, index: Int - ) extends DataSourceCache(param, dsName, index) with Loggable { - - val rowSepLiteral = "\n" - - def saveDataFrame(df: DataFrame, path: String): Unit = { - // transform data - val dataRdd: RDD[String] = df.toJSON - // save data - if (!dataRdd.isEmpty) { - HdfsFileDumpUtil.dump(path, dataRdd, rowSepLiteral) - } - } - - def saveDataList(arr: Iterable[String], path: String): Unit = { - HdfsFileDumpUtil.dump(path, arr, rowSepLiteral) - } - - def readDataFrame(paths: Seq[String]): Option[DataFrame] = { -// paths.foreach(println) - Some(sqlContext.read.json(paths: _*)) - } - - def removeDataPath(path: String): Unit = { - println(s"delete hdfs path: ${path}") - HdfsUtil.deleteHdfsPath(path) - } - - // var tmstCache: TmstCache = _ -// protected def rangeTmsts(from: Long, until: Long) = tmstCache.range(from, until) -// protected def clearTmst(t: Long) = tmstCache.remove(t) -// protected def clearTmstsUntil(until: Long) = { -// val outDateTmsts = tmstCache.until(until) -// tmstCache.remove(outDateTmsts) -// } - -// val _FilePath = "file.path" -// val _InfoPath = "info.path" -// val _ReadyTimeInterval = "ready.time.interval" -// val _ReadyTimeDelay = "ready.time.delay" -// val _TimeRange = "time.range" -// -// val defFilePath = s"hdfs:///griffin/cache/${dsName}/${index}" -// val defInfoPath = s"${index}" -// -// val filePath: String = param.getString(_FilePath, defFilePath) -// val cacheInfoPath: String = param.getString(_InfoPath, defInfoPath) -// val readyTimeInterval: Long = TimeUtil.milliseconds(param.getString(_ReadyTimeInterval, "1m")).getOrElse(60000L) -// val readyTimeDelay: Long = TimeUtil.milliseconds(param.getString(_ReadyTimeDelay, "1m")).getOrElse(60000L) -// val deltaTimeRange: (Long, Long) = { -// def negative(n: Long): Long = if (n <= 0) n else 0 -// param.get(_TimeRange) match { -// case Some(seq: Seq[String]) => { -// val nseq = seq.flatMap(TimeUtil.milliseconds(_)) -// val ns = negative(nseq.headOption.getOrElse(0)) -// val ne = negative(nseq.tail.headOption.getOrElse(0)) -// (ns, ne) -// } -// case _ => (0, 0) -// } -// } - -// val _WriteInfoPath = "write.info.path" -// val _ReadInfoPath = "read.info.path" -// val writeCacheInfoPath = param.getString(_WriteInfoPath, defInfoPath) -// val readCacheInfoPath = param.getString(_ReadInfoPath, defInfoPath) - -// val _ReadOnly = "read.only" -// val readOnly = param.getBoolean(_ReadOnly, false) -// -// val rowSepLiteral = "\n" -// val partitionUnits: List[String] = List("hour", "min", "sec") -// val minUnitTime: Long = TimeUtil.timeFromUnit(1, partitionUnits.last) -// -// val newCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.new") -// val oldCacheLock = InfoCacheInstance.genLock(s"${cacheInfoPath}.old") - -// def init(): Unit = { -// ; -// } -// -// def saveData(dfOpt: Option[DataFrame], ms: Long): Unit = { -// if (!readOnly) { -// dfOpt match { -// case Some(df) => { -// val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) -// if (newCacheLocked) { -// try { -// val ptns = getPartition(ms) -// val ptnsPath = genPartitionHdfsPath(ptns) -// val dirPath = s"${filePath}/${ptnsPath}" -// val dataFileName = s"${ms}" -// val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) -// -// // transform data -// val dataRdd: RDD[String] = df.toJSON -// -// // save data -// // val dumped = if (!dataRdd.isEmpty) { -// // HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) -// // } else false -// -// if (!dataRdd.isEmpty) { -// HdfsFileDumpUtil.dump(dataFilePath, dataRdd, rowSepLiteral) -// } -// -// } catch { -// case e: Throwable => error(s"save data error: ${e.getMessage}") -// } finally { -// newCacheLock.unlock() -// } -// } -// } -// case _ => { -// info(s"no data frame to save") -// } -// } -// -// // submit cache time and ready time -// submitCacheTime(ms) -// submitReadyTime(ms) -// } -// } -// -// // return: (data frame option, time range) -// def readData(): (Option[DataFrame], TimeRange) = { -// val tr = TimeInfoCache.getTimeRange -// val timeRange = (tr._1 + minUnitTime, tr._2) -// submitLastProcTime(timeRange._2) -// -// val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2) -// submitCleanTime(reviseTimeRange._1) -// -// // read directly through partition info -// val partitionRanges = getPartitionRange(reviseTimeRange._1, reviseTimeRange._2) -// println(s"read time ranges: ${reviseTimeRange}") -// println(s"read partition ranges: ${partitionRanges}") -// -// // list partition paths -// val partitionPaths = listPathsBetweenRanges(filePath :: Nil, partitionRanges) -//// println(partitionPaths) -// -// val dfOpt = if (partitionPaths.isEmpty) { -// None -// } else { -// try { -// Some(sqlContext.read.json(partitionPaths: _*)) -// } catch { -// case e: Throwable => { -// warn(s"read data source cache warn: ${e.getMessage}") -// None -// } -// } -// } -// -// // from until tmst range -// val (from, until) = (reviseTimeRange._1, reviseTimeRange._2 + 1) -// val tmstSet = rangeTmsts(from, until) -// -// val retTimeRange = TimeRange(reviseTimeRange, tmstSet) -// (dfOpt, retTimeRange) -// } -// -// // not used actually -// def updateData(df: DataFrame, ms: Long): Unit = { -// if (!readOnly) { -// val ptns = getPartition(ms) -// val ptnsPath = genPartitionHdfsPath(ptns) -// val dirPath = s"${filePath}/${ptnsPath}" -// val dataFileName = s"${ms}" -// val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) -// -// try { -// val records = df.toJSON -// val arr = records.collect -// val needSave = !arr.isEmpty -// -// // remove out time old data -// HdfsFileDumpUtil.remove(dirPath, dataFileName, true) -// println(s"remove file path: ${dirPath}/${dataFileName}") -// -// // save updated data -// if (needSave) { -// HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) -// println(s"update file path: ${dataFilePath}") -// } else { -// clearTmst(ms) -// println(s"data source [${dsName}] timestamp [${ms}] cleared") -// } -// } catch { -// case e: Throwable => error(s"update data error: ${e.getMessage}") -// } -// } -// } -// -// // in update data map (not using now) -// def updateData(rdd: RDD[String], ms: Long, cnt: Long): Unit = { -// if (!readOnly) { -// val ptns = getPartition(ms) -// val ptnsPath = genPartitionHdfsPath(ptns) -// val dirPath = s"${filePath}/${ptnsPath}" -// val dataFileName = s"${ms}" -// val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) -// -// try { -// // val needSave = !rdd.isEmpty -// -// // remove out time old data -// HdfsFileDumpUtil.remove(dirPath, dataFileName, true) -// println(s"remove file path: ${dirPath}/${dataFileName}") -// -// // save updated data -// if (cnt > 0) { -// HdfsFileDumpUtil.dump(dataFilePath, rdd, rowSepLiteral) -// println(s"update file path: ${dataFilePath}") -// } else { -// clearTmst(ms) -// println(s"data source [${dsName}] timestamp [${ms}] cleared") -// } -// } catch { -// case e: Throwable => error(s"update data error: ${e.getMessage}") -// } finally { -// rdd.unpersist() -// } -// } -// } -// -// // in streaming mode -// def updateData(arr: Iterable[String], ms: Long): Unit = { -// if (!readOnly) { -// val ptns = getPartition(ms) -// val ptnsPath = genPartitionHdfsPath(ptns) -// val dirPath = s"${filePath}/${ptnsPath}" -// val dataFileName = s"${ms}" -// val dataFilePath = HdfsUtil.getHdfsFilePath(dirPath, dataFileName) -// -// try { -// val needSave = !arr.isEmpty -// -// // remove out time old data -// HdfsFileDumpUtil.remove(dirPath, dataFileName, true) -// println(s"remove file path: ${dirPath}/${dataFileName}") -// -// // save updated data -// if (needSave) { -// HdfsFileDumpUtil.dump(dataFilePath, arr, rowSepLiteral) -// println(s"update file path: ${dataFilePath}") -// } else { -// clearTmst(ms) -// println(s"data source [${dsName}] timestamp [${ms}] cleared") -// } -// } catch { -// case e: Throwable => error(s"update data error: ${e.getMessage}") -// } -// } -// } -// -// def updateDataMap(dfMap: Map[Long, DataFrame]): Unit = { -// if (!readOnly) { -// val dataMap = dfMap.map { pair => -// val (t, recs) = pair -// val rdd = recs.toJSON -// // rdd.cache -// (t, rdd, rdd.count) -// } -// -// dataMap.foreach { pair => -// val (t, arr, cnt) = pair -// updateData(arr, t, cnt) -// } -// } -// } -// -// def cleanOldData(): Unit = { -// if (!readOnly) { -// val oldCacheLocked = oldCacheLock.lock(-1, TimeUnit.SECONDS) -// if (oldCacheLocked) { -// try { -// val cleanTime = readCleanTime() -// cleanTime match { -// case Some(ct) => { -// println(s"data source [${dsName}] old timestamps clear until [${ct}]") -// -// // clear out date tmsts -// clearTmstsUntil(ct) -// -// // drop partitions -// val bounds = getPartition(ct) -// -// // list partition paths -// val earlierPaths = listPathsEarlierThanBounds(filePath :: Nil, bounds) -// -// // delete out time data path -// earlierPaths.foreach { path => -// println(s"delete hdfs path: ${path}") -// HdfsUtil.deleteHdfsPath(path) -// } -// } -// case _ => { -// // do nothing -// } -// } -// } catch { -// case e: Throwable => error(s"clean old data error: ${e.getMessage}") -// } finally { -// oldCacheLock.unlock() -// } -// } -// } -// } -// -// override protected def genCleanTime(ms: Long): Long = { -// val minPartitionUnit = partitionUnits.last -// val t1 = TimeUtil.timeToUnit(ms, minPartitionUnit) -// val t2 = TimeUtil.timeFromUnit(t1, minPartitionUnit) -// t2 -// } -// -// private def getPartition(ms: Long): List[Long] = { -// partitionUnits.map { unit => -// TimeUtil.timeToUnit(ms, unit) -// } -// } -// private def getPartitionRange(ms1: Long, ms2: Long): List[(Long, Long)] = { -// getPartition(ms1).zip(getPartition(ms2)) -//// partitionUnits.map { unit => -//// val t1 = TimeUtil.timeToUnit(ms1, unit) -//// val t2 = TimeUtil.timeToUnit(ms2, unit) -//// (t1, t2) -//// } -// } -// private def genPartitionHdfsPath(partition: List[Long]): String = { -// partition.map(prtn => s"${prtn}").mkString("/") -// } -// private def str2Long(str: String): Option[Long] = { -// try { -// Some(str.toLong) -// } catch { -// case e: Throwable => None -// } -// } -// -// -// // here the range means [min, max] -// private def listPathsBetweenRanges(paths: List[String], -// partitionRanges: List[(Long, Long)] -// ): List[String] = { -// partitionRanges match { -// case Nil => paths -// case head :: tail => { -// val (lb, ub) = head -// val curPaths = paths.flatMap { path => -// val names = HdfsUtil.listSubPathsByType(path, "dir").toList -// names.filter { name => -// str2Long(name) match { -// case Some(t) => (t >= lb) && (t <= ub) -// case _ => false -// } -// }.map(HdfsUtil.getHdfsFilePath(path, _)) -// } -// listPathsBetweenRanges(curPaths, tail) -// } -// } -// } -// private def listPathsEarlierThanBounds(paths: List[String], bounds: List[Long] -// ): List[String] = { -// bounds match { -// case Nil => paths -// case head :: tail => { -// val earlierPaths = paths.flatMap { path => -// val names = HdfsUtil.listSubPathsByType(path, "dir").toList -// names.filter { name => -// str2Long(name) match { -// case Some(t) => (t < head) -// case _ => false -// } -// }.map(HdfsUtil.getHdfsFilePath(path, _)) -// } -// val equalPaths = paths.flatMap { path => -// val names = HdfsUtil.listSubPathsByType(path, "dir").toList -// names.filter { name => -// str2Long(name) match { -// case Some(t) => (t == head) -// case _ => false -// } -// }.map(HdfsUtil.getHdfsFilePath(path, _)) -// } -// -// tail match { -// case Nil => earlierPaths -// case _ => earlierPaths ::: listPathsEarlierThanBounds(equalPaths, tail) -// } -// } -// } -// } -} From ed970383783aed396d1cc1d534cb1510300e5ae6 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 31 Jan 2018 16:29:34 +0800 Subject: [PATCH 130/177] timeliness config json --- measure/src/test/resources/_timeliness-batch-griffindsl.json | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/measure/src/test/resources/_timeliness-batch-griffindsl.json b/measure/src/test/resources/_timeliness-batch-griffindsl.json index bd48401b1..1ef9571b7 100644 --- a/measure/src/test/resources/_timeliness-batch-griffindsl.json +++ b/measure/src/test/resources/_timeliness-batch-griffindsl.json @@ -28,10 +28,13 @@ "details": { "source": "source", "latency": "latency", + "total": "total", + "avg": "avg", "threshold": "3m", "step": "step", "count": "cnt", - "step.size": "2m" + "step.size": "2m", + "percentage.points": [20, 50, 80] }, "metric": { "name": "timeliness" From d5e450f8d5f0eabffdbe610ca35e31276a0618fb Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 1 Feb 2018 13:54:21 +0800 Subject: [PATCH 131/177] add finish phase in data source cache and finish the percentile in timeliness --- .../measure/data/source/DataSource.scala | 4 ++ .../data/source/cache/DataSourceCache.scala | 32 ++++++---- .../measure/process/BatchDqProcess.scala | 3 +- .../measure/process/StreamingDqProcess.scala | 6 +- .../measure/process/StreamingDqThread.scala | 8 +++ .../rule/trans/TimelinessRulePlanTrans.scala | 41 ++++++++++++- .../measure/rule/udf/GriffinUdafs.scala | 29 ++++++++++ .../griffin/measure/rule/udf/MeanUdaf.scala | 58 +++++++++++++++++++ .../griffin/measure/utils/ParamUtil.scala | 11 ++++ .../_timeliness-batch-griffindsl.json | 3 +- .../_timeliness-streaming-griffindsl.json | 4 +- 11 files changed, 180 insertions(+), 19 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdafs.scala create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/udf/MeanUdaf.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 40f04db50..9a4b6408c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -132,4 +132,8 @@ case class DataSource(sqlContext: SQLContext, dataSourceCacheOpt.foreach(_.cleanOutTimeData) } + def processFinish(): Unit = { + dataSourceCacheOpt.foreach(_.processFinish) + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index 91cdcdb89..1a0366ddc 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -29,6 +29,9 @@ import org.apache.griffin.measure.utils.{HdfsUtil, TimeUtil} import org.apache.griffin.measure.utils.ParamUtil._ import org.apache.spark.sql._ +// data source cache process steps +// dump phase: save +// process phase: read -> process -> update -> finish -> clean old data trait DataSourceCache extends DataCacheable with Loggable with Serializable { val sqlContext: SQLContext @@ -128,12 +131,6 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val timeRange = TimeInfoCache.getTimeRange val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2) - // next last proc time - submitLastProcTime(timeRange._2) - // next clean time - val nextCleanTime = timeRange._2 + deltaTimeRange._1 - submitCleanTime(nextCleanTime) - // read partition info val filterStr = s"`${InternalColumns.tmst}` >= ${reviseTimeRange._1} AND `${InternalColumns.tmst}` < ${reviseTimeRange._2}" println(s"read time range: [${reviseTimeRange._1}, ${reviseTimeRange._2})") @@ -296,12 +293,14 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { case _ => df } - // coalesce partition number val prlCount = sqlContext.sparkContext.defaultParallelism - val ptnCount = updateDf.rdd.getNumPartitions - val repartitionedDf = if (prlCount < ptnCount) { - updateDf.coalesce(prlCount) - } else updateDf + // coalesce +// val ptnCount = updateDf.rdd.getNumPartitions +// val repartitionedDf = if (prlCount < ptnCount) { +// updateDf.coalesce(prlCount) +// } else updateDf + // repartition + val repartitionedDf = updateDf.repartition(prlCount) val dfw = repartitionedDf.write.mode(SaveMode.Overwrite) writeDataFrame(dfw, oldDfPath) @@ -320,4 +319,15 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { } } + // process finish + def processFinish(): Unit = { + // next last proc time + val timeRange = TimeInfoCache.getTimeRange + submitLastProcTime(timeRange._2) + + // next clean time + val nextCleanTime = timeRange._2 + deltaTimeRange._1 + submitCleanTime(nextCleanTime) + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala index 5b28e99af..8c95a3917 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/BatchDqProcess.scala @@ -29,7 +29,7 @@ import org.apache.griffin.measure.process.engine._ import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters, TimeRange} import org.apache.griffin.measure.rule.adaptor._ import org.apache.griffin.measure.rule.plan._ -import org.apache.griffin.measure.rule.udf.GriffinUdfs +import org.apache.griffin.measure.rule.udf._ import org.apache.spark.sql.SQLContext import org.apache.spark.sql.hive.HiveContext import org.apache.spark.{SparkConf, SparkContext} @@ -60,6 +60,7 @@ case class BatchDqProcess(allParam: AllParam) extends DqProcess { // register udf GriffinUdfs.register(sqlContext) + GriffinUdafs.register(sqlContext) // init adaptors RuleAdaptorGroup.init(sqlContext, dataSourceNames, baselineDsName) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala index 1cc2ab74b..3c2376a43 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala @@ -18,8 +18,6 @@ under the License. */ package org.apache.griffin.measure.process -import java.util.Date - import org.apache.griffin.measure.cache.info.InfoCacheInstance import org.apache.griffin.measure.config.params._ import org.apache.griffin.measure.config.params.env._ @@ -29,8 +27,7 @@ import org.apache.griffin.measure.persist.{Persist, PersistFactory} import org.apache.griffin.measure.process.engine.DqEngineFactory import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.RuleAdaptorGroup -import org.apache.griffin.measure.rule.plan.TimeInfo -import org.apache.griffin.measure.rule.udf.GriffinUdfs +import org.apache.griffin.measure.rule.udf._ import org.apache.griffin.measure.utils.TimeUtil import org.apache.spark.sql.SQLContext import org.apache.spark.sql.hive.HiveContext @@ -67,6 +64,7 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { // register udf GriffinUdfs.register(sqlContext) + GriffinUdafs.register(sqlContext) // init adaptors val dataSourceNames = userParam.dataSources.map(_.name) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index f3ab23aef..dc49df07e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -85,6 +85,9 @@ case class StreamingDqThread(sqlContext: SQLContext, // update data sources dqEngines.updateDataSources(rulePlan.dsUpdates, dataSources) + // finish calculation + finishCalculation() + val et = new Date().getTime val persistTimeStr = s"persist records using time: ${et - rt} ms" appPersist.log(et, persistTimeStr) @@ -108,6 +111,11 @@ case class StreamingDqThread(sqlContext: SQLContext, println(s"===== [${updateTimeDate}] process ends, using ${endTime - updateTime} ms =====") } + // finish calculation for this round + private def finishCalculation(): Unit = { + dataSources.foreach(_.processFinish) + } + // clean old data and old result cache private def cleanData(timeInfo: TimeInfo): Unit = { try { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala index 06dee60dd..adaedc295 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala @@ -44,6 +44,8 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], val _step = "step" val _count = "count" val _stepSize = "step.size" + val _percentileColPrefix = "percentile" + val _percentileValues = "percentile.values" } import TimelinessKeys._ @@ -232,8 +234,45 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], case _ => emptyRulePlan } - timePlan.merge(recordPlan).merge(rangePlan) + // 6. percentiles + val percentiles = getPercentiles(details) + val percentilePlan = if (percentiles.size > 0) { + val percentileTableName = "__percentile" + val percentileColName = details.getStringOrKey(_percentileColPrefix) + val percentileCols = percentiles.map { pct => + s"percentile_approx(${latencyColName}, ${pct}) AS `${percentileColName}_${pct}`" + }.mkString(", ") + val percentileSql = procType match { + case BatchProcessType => { + s""" + |SELECT ${percentileCols} + |FROM `${latencyTableName}` + """.stripMargin + } + case StreamingProcessType => { + s""" + |SELECT `${InternalColumns.tmst}`, `${percentileCols}` + |FROM `${latencyTableName}` GROUP BY `${InternalColumns.tmst}` + """.stripMargin + } + } + val percentileStep = SparkSqlStep(percentileTableName, percentileSql, emptyMap) + val percentileParam = emptyMap + val percentielExports = genMetricExport(percentileParam, percentileTableName, percentileTableName, ct, mode) :: Nil + + RulePlan(percentileStep :: Nil, percentielExports) + } else emptyRulePlan + + timePlan.merge(recordPlan).merge(rangePlan).merge(percentilePlan) } } + private def getPercentiles(details: Map[String, Any]): Seq[Double] = { +// details.get(_percentiles) match { +// case Some(seq: Seq[Double]) => seq +// case _ => Nil +// } + details.getArr[Double](_percentileValues).filter(d => (d >= 0 && d <= 1)) + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdafs.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdafs.scala new file mode 100644 index 000000000..cb00641e1 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdafs.scala @@ -0,0 +1,29 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.udf + +import org.apache.spark.sql.SQLContext + +object GriffinUdafs { + + def register(sqlContext: SQLContext): Unit = { +// sqlContext.udf.register("my_mean", new MeanUdaf) + } + +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/udf/MeanUdaf.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/udf/MeanUdaf.scala new file mode 100644 index 000000000..80b3a027e --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/udf/MeanUdaf.scala @@ -0,0 +1,58 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.udf + +import org.apache.spark.sql.Row +import org.apache.spark.sql.expressions.{MutableAggregationBuffer, UserDefinedAggregateFunction} +import org.apache.spark.sql.types._ + +class MeanUdaf extends UserDefinedAggregateFunction { + def inputSchema: StructType = StructType(Array(StructField("item", LongType))) + + def bufferSchema = StructType(Array( + StructField("sum", DoubleType), + StructField("cnt", LongType) + )) + + def dataType: DataType = DoubleType + + def deterministic: Boolean = true + + def initialize(buffer: MutableAggregationBuffer): Unit = { + buffer.update(0, 0.toDouble) + buffer.update(1, 0L) + } + + def update(buffer: MutableAggregationBuffer, input: Row): Unit = { + val sum = buffer.getDouble(0) + val cnt = buffer.getLong(1) + val value = input.getLong(0) + buffer.update(0, sum + value) + buffer.update(1, cnt + 1) + } + + def merge(buffer1: MutableAggregationBuffer, buffer2: Row): Unit = { + buffer1.update(0, buffer1.getDouble(0) + buffer2.getDouble(0)) + buffer1.update(1, buffer1.getLong(1) + buffer2.getLong(1)) + } + + def evaluate(buffer: Row): Any = { + buffer.getDouble(0) / buffer.getLong(1).toDouble + } +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala index 1ca32b3be..d125d8728 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/ParamUtil.scala @@ -185,6 +185,17 @@ object ParamUtil { } } + def getArr[T](key: String): Seq[T] = { + try { + params.get(key) match { + case Some(seq: Seq[T]) => seq + case _ => Nil + } + } catch { + case _: Throwable => Nil + } + } + def addIfNotExist(key: String, value: Any): Map[String, Any] = { params.get(key) match { case Some(v) => params diff --git a/measure/src/test/resources/_timeliness-batch-griffindsl.json b/measure/src/test/resources/_timeliness-batch-griffindsl.json index 1ef9571b7..90439df1c 100644 --- a/measure/src/test/resources/_timeliness-batch-griffindsl.json +++ b/measure/src/test/resources/_timeliness-batch-griffindsl.json @@ -34,7 +34,8 @@ "step": "step", "count": "cnt", "step.size": "2m", - "percentage.points": [20, 50, 80] + "percentile": "percentile", + "percentile.values": [0.95] }, "metric": { "name": "timeliness" diff --git a/measure/src/test/resources/_timeliness-streaming-griffindsl.json b/measure/src/test/resources/_timeliness-streaming-griffindsl.json index fbaf8d4aa..5916e5cda 100644 --- a/measure/src/test/resources/_timeliness-streaming-griffindsl.json +++ b/measure/src/test/resources/_timeliness-streaming-griffindsl.json @@ -63,7 +63,9 @@ "threshold": "1h", "step": "step", "count": "cnt", - "step.size": "5m" + "step.size": "5m", + "percentile": "percentile", + "percentile.values": [0.2, 0.5, 0.8] }, "metric": { "name": "timeliness" From 165fda2ab2d445cef6d4706deb0870e3ddd97292 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 1 Feb 2018 15:50:52 +0800 Subject: [PATCH 132/177] fix bug in timeliness of streaming sql --- .../griffin/measure/rule/trans/TimelinessRulePlanTrans.scala | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala index adaedc295..9a015537b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala @@ -240,7 +240,8 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], val percentileTableName = "__percentile" val percentileColName = details.getStringOrKey(_percentileColPrefix) val percentileCols = percentiles.map { pct => - s"percentile_approx(${latencyColName}, ${pct}) AS `${percentileColName}_${pct}`" + val pctName = (pct * 100).toInt.toString + s"floor(percentile_approx(${latencyColName}, ${pct})) AS `${percentileColName}_${pctName}`" }.mkString(", ") val percentileSql = procType match { case BatchProcessType => { @@ -251,7 +252,7 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], } case StreamingProcessType => { s""" - |SELECT `${InternalColumns.tmst}`, `${percentileCols}` + |SELECT `${InternalColumns.tmst}`, ${percentileCols} |FROM `${latencyTableName}` GROUP BY `${InternalColumns.tmst}` """.stripMargin } From 9efad182cee973971138a9f50b822d687a2cec54 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 2 Feb 2018 14:32:55 +0800 Subject: [PATCH 133/177] timeliness percentile hourly --- .../measure/rule/trans/RulePlanTrans.scala | 2 +- .../rule/trans/TimelinessRulePlanTrans.scala | 84 +++---------------- 2 files changed, 13 insertions(+), 73 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala index b7226ba9b..2c0d911b2 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala @@ -50,7 +50,7 @@ object RulePlanTrans { case ProfilingType => ProfilingRulePlanTrans(dsNames, ti, name, expr, param, procType) case UniquenessType => UniquenessRulePlanTrans(dsNames, ti, name, expr, param, procType) case DistinctnessType => DistinctnessRulePlanTrans(dsNames, ti, name, expr, param, procType, dsTimeRanges) - case TimelinessType => TimelinessRulePlanTrans(dsNames, ti, name, expr, param, procType) + case TimelinessType => TimelinessRulePlanTrans(dsNames, ti, name, expr, param, procType, dsTimeRanges) case _ => emptyRulePlanTrans } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala index 9a015537b..520028921 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala @@ -18,7 +18,7 @@ under the License. */ package org.apache.griffin.measure.rule.trans -import org.apache.griffin.measure.process.temp.TableRegisters +import org.apache.griffin.measure.process.temp.{TableRegisters, TimeRange} import org.apache.griffin.measure.process.{BatchProcessType, ExportMode, ProcessType, StreamingProcessType} import org.apache.griffin.measure.rule.adaptor.RuleParamKeys._ import org.apache.griffin.measure.rule.adaptor._ @@ -32,7 +32,8 @@ import org.apache.griffin.measure.utils.TimeUtil case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], timeInfo: TimeInfo, name: String, expr: Expr, - param: Map[String, Any], procType: ProcessType + param: Map[String, Any], procType: ProcessType, + dsTimeRanges: Map[String, TimeRange] ) extends RulePlanTrans { private object TimelinessKeys { @@ -58,6 +59,9 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], val ct = timeInfo.calcTime + val sourceTimeRange = dsTimeRanges.get(sourceName).getOrElse(TimeRange(ct)) + val beginTime = sourceTimeRange.begin + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { emptyRulePlan } else { @@ -142,58 +146,6 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], case _ => emptyRulePlan } -// 5. ranges -// val rangePlan = details.get(_rangeSplit) match { -// case Some(arr: Seq[String]) => { -// val ranges = splitTimeRanges(arr) -// if (ranges.size > 0) { -// try { -// // 5.1. range -// val rangeTableName = "__range" -// val rangeColName = details.getStringOrKey(_range) -// val caseClause = { -// val whenClause = ranges.map { range => -// s"WHEN `${latencyColName}` < ${range._1} THEN '<${range._2}'" -// }.mkString("\n") -// s"CASE ${whenClause} ELSE '>=${ranges.last._2}' END AS `${rangeColName}`" -// } -// val rangeSql = { -// s"SELECT *, ${caseClause} FROM `${latencyTableName}`" -// } -// val rangeStep = SparkSqlStep(rangeTableName, rangeSql, emptyMap) -// -// // 5.2. range metric -// val rangeMetricTableName = "__rangeMetric" -// val countColName = details.getStringOrKey(_count) -// val rangeMetricSql = procType match { -// case BatchProcessType => { -// s""" -// |SELECT `${rangeColName}`, COUNT(*) AS `${countColName}` -// |FROM `${rangeTableName}` GROUP BY `${rangeColName}` -// """.stripMargin -// } -// case StreamingProcessType => { -// s""" -// |SELECT `${InternalColumns.tmst}`, `${rangeColName}`, COUNT(*) AS `${countColName}` -// |FROM `${rangeTableName}` GROUP BY `${InternalColumns.tmst}`, `${rangeColName}` -// """.stripMargin -// } -// } -// val rangeMetricStep = SparkSqlStep(rangeMetricTableName, rangeMetricSql, emptyMap) -// val rangeMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) -// val rangeMetricExports = genMetricExport(rangeMetricParam, rangeColName, rangeMetricTableName, ct, mode) :: Nil -// -// RulePlan(rangeStep :: rangeMetricStep :: Nil, rangeMetricExports) -// } catch { -// case _: Throwable => emptyRulePlan -// } -// } else emptyRulePlan -// } -// case _ => emptyRulePlan -// } - -// return timeliness plan - // 5. ranges val rangePlan = TimeUtil.milliseconds(details.getString(_stepSize, "")) match { case Some(stepSize) => { @@ -243,23 +195,15 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], val pctName = (pct * 100).toInt.toString s"floor(percentile_approx(${latencyColName}, ${pct})) AS `${percentileColName}_${pctName}`" }.mkString(", ") - val percentileSql = procType match { - case BatchProcessType => { - s""" - |SELECT ${percentileCols} - |FROM `${latencyTableName}` - """.stripMargin - } - case StreamingProcessType => { - s""" - |SELECT `${InternalColumns.tmst}`, ${percentileCols} - |FROM `${latencyTableName}` GROUP BY `${InternalColumns.tmst}` - """.stripMargin - } + val percentileSql = { + s""" + |SELECT ${percentileCols} + |FROM `${latencyTableName}` + """.stripMargin } val percentileStep = SparkSqlStep(percentileTableName, percentileSql, emptyMap) val percentileParam = emptyMap - val percentielExports = genMetricExport(percentileParam, percentileTableName, percentileTableName, ct, mode) :: Nil + val percentielExports = genMetricExport(percentileParam, percentileTableName, percentileTableName, beginTime, mode) :: Nil RulePlan(percentileStep :: Nil, percentielExports) } else emptyRulePlan @@ -269,10 +213,6 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], } private def getPercentiles(details: Map[String, Any]): Seq[Double] = { -// details.get(_percentiles) match { -// case Some(seq: Seq[Double]) => seq -// case _ => Nil -// } details.getArr[Double](_percentileValues).filter(d => (d >= 0 && d <= 1)) } From 0c620caa55b1b93c1ccf220d5c5474899d4b2c9b Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 2 Feb 2018 15:05:27 +0800 Subject: [PATCH 134/177] time info cache bug fix when empty cache info --- .../measure/cache/info/TimeInfoCache.scala | 33 ++++++++++++------- 1 file changed, 21 insertions(+), 12 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala b/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala index efd12b915..c9764532e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/cache/info/TimeInfoCache.scala @@ -62,33 +62,42 @@ object TimeInfoCache extends Loggable with Serializable { val subPath = InfoCacheInstance.listKeys(infoPath) val keys = subPath.map { p => s"${infoPath}/${p}/${ReadyTime}" } val result = InfoCacheInstance.readInfo(keys) - val time = keys.flatMap { k => + val times = keys.flatMap { k => getLongOpt(result, k) - }.min - val map = Map[String, String]((finalReadyTime -> time.toString)) - InfoCacheInstance.cacheInfo(map) + } + if (times.nonEmpty) { + val time = times.min + val map = Map[String, String]((finalReadyTime -> time.toString)) + InfoCacheInstance.cacheInfo(map) + } } private def genFinalLastProcTime(): Unit = { val subPath = InfoCacheInstance.listKeys(infoPath) val keys = subPath.map { p => s"${infoPath}/${p}/${LastProcTime}" } val result = InfoCacheInstance.readInfo(keys) - val time = keys.flatMap { k => + val times = keys.flatMap { k => getLongOpt(result, k) - }.min - val map = Map[String, String]((finalLastProcTime -> time.toString)) - InfoCacheInstance.cacheInfo(map) + } + if (times.nonEmpty) { + val time = times.min + val map = Map[String, String]((finalLastProcTime -> time.toString)) + InfoCacheInstance.cacheInfo(map) + } } private def genFinalCleanTime(): Unit = { val subPath = InfoCacheInstance.listKeys(infoPath) val keys = subPath.map { p => s"${infoPath}/${p}/${CleanTime}" } val result = InfoCacheInstance.readInfo(keys) - val time = keys.flatMap { k => + val times = keys.flatMap { k => getLongOpt(result, k) - }.min - val map = Map[String, String]((finalCleanTime -> time.toString)) - InfoCacheInstance.cacheInfo(map) + } + if (times.nonEmpty) { + val time = times.min + val map = Map[String, String]((finalCleanTime -> time.toString)) + InfoCacheInstance.cacheInfo(map) + } } private def readTimeRange(): (Long, Long) = { From accd99a69c8a3201772a4b984e275b99f7ea20d8 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 2 Feb 2018 17:23:36 +0800 Subject: [PATCH 135/177] timeliness enhance with source timerange --- .../data/connector/DataConnector.scala | 4 +++- .../data/source/cache/DataSourceCache.scala | 4 ++-- .../measure/process/temp/TimeRange.scala | 9 +++++++- .../rule/adaptor/GriffinDslAdaptor.scala | 10 ++++++++- .../rule/trans/AccuracyRulePlanTrans.scala | 4 +++- .../trans/DistinctnessRulePlanTrans.scala | 18 +++++++++++----- .../rule/trans/ProfilingRulePlanTrans.scala | 4 +++- .../measure/rule/trans/RulePlanTrans.scala | 6 ++++-- .../rule/trans/TimelinessRulePlanTrans.scala | 21 ++++++++++++------- .../rule/trans/UniquenessRulePlanTrans.scala | 4 +++- 10 files changed, 61 insertions(+), 23 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index 1cf3f3275..b8589916f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -65,6 +65,8 @@ trait DataConnector extends Loggable with Serializable { val thisTable = thisName(ms) try { + saveTmst(ms) // save tmst + dfOpt.flatMap { df => val preProcRules = PreProcRuleGenerator.genPreProcRules(dcParam.preProc, suffix(ms)) @@ -104,7 +106,7 @@ trait DataConnector extends Loggable with Serializable { val withTmstDf = outDf.withColumn(tmstColName, lit(ms)) // tmst cache - saveTmst(ms) +// saveTmst(ms) // drop temp tables cleanData(timeInfo) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index 1a0366ddc..419b1417e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -129,7 +129,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { def readData(): (Option[DataFrame], TimeRange) = { // time range: [a, b) val timeRange = TimeInfoCache.getTimeRange - val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2) + val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2 + 1) // read partition info val filterStr = s"`${InternalColumns.tmst}` >= ${reviseTimeRange._1} AND `${InternalColumns.tmst}` < ${reviseTimeRange._2}" @@ -326,7 +326,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { submitLastProcTime(timeRange._2) // next clean time - val nextCleanTime = timeRange._2 + deltaTimeRange._1 + val nextCleanTime = timeRange._2 + deltaTimeRange._1 + 1 submitCleanTime(nextCleanTime) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala index db92533dd..9e7939698 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/TimeRange.scala @@ -20,10 +20,17 @@ package org.apache.griffin.measure.process.temp import scala.math.{min, max} - case class TimeRange(begin: Long, end: Long, tmsts: Set[Long]) extends Serializable { +case class TimeRange(begin: Long, end: Long, tmsts: Set[Long]) extends Serializable { def merge(tr: TimeRange): TimeRange = { TimeRange(min(begin, tr.begin), max(end, tr.end), tmsts ++ tr.tmsts) } + def beginTmstOpt: Option[Long] = { + try { + if (tmsts.nonEmpty) Some(tmsts.min) else None + } catch { + case _: Throwable => None + } + } } object TimeRange { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala index 3b4ec31c8..d07aa0243 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/GriffinDslAdaptor.scala @@ -24,6 +24,8 @@ import org.apache.griffin.measure.rule.dsl.parser.GriffinDslParser import org.apache.griffin.measure.rule.plan.{TimeInfo, _} import org.apache.griffin.measure.rule.trans._ +import scala.util.{Failure, Success} + case class GriffinDslAdaptor(dataSourceNames: Seq[String], functionNames: Seq[String] ) extends RuleAdaptor { @@ -49,7 +51,13 @@ case class GriffinDslAdaptor(dataSourceNames: Seq[String], val expr = result.get val rulePlanTrans = RulePlanTrans(dqType, dataSourceNames, timeInfo, name, expr, param, processType, dsTimeRanges) - rulePlanTrans.trans + rulePlanTrans.trans match { + case Success(rp) => rp + case Failure(ex) => { + warn(s"translate rule [ ${rule} ] fails: \n${ex.getMessage}") + emptyRulePlan + } + } } else { warn(s"parse rule [ ${rule} ] fails: \n${result}") emptyRulePlan diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala index 2ff8feb9c..904b087a7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/AccuracyRulePlanTrans.scala @@ -30,6 +30,8 @@ import org.apache.griffin.measure.utils.ParamUtil._ import org.apache.griffin.measure.rule.trans.RuleExportFactory._ import org.apache.griffin.measure.rule.trans.DsUpdateFactory._ +import scala.util.Try + case class AccuracyRulePlanTrans(dataSourceNames: Seq[String], timeInfo: TimeInfo, name: String, expr: Expr, param: Map[String, Any], procType: ProcessType @@ -44,7 +46,7 @@ case class AccuracyRulePlanTrans(dataSourceNames: Seq[String], } import AccuracyKeys._ - def trans(): RulePlan = { + def trans(): Try[RulePlan] = Try { val details = getDetails(param) val sourceName = details.getString(_source, dataSourceNames.head) val targetName = details.getString(_target, dataSourceNames.tail.head) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala index 0f4e7c4b6..40a8102ec 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala @@ -29,6 +29,8 @@ import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.rule.trans.RuleExportFactory._ import org.apache.griffin.measure.utils.ParamUtil._ +import scala.util.Try + case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], timeInfo: TimeInfo, name: String, expr: Expr, param: Map[String, Any], procType: ProcessType, @@ -49,7 +51,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], } import DistinctnessKeys._ - def trans(): RulePlan = { + def trans(): Try[RulePlan] = Try { val details = getDetails(param) val sourceName = details.getString(_source, dataSourceNames.head) val targetName = details.getString(_target, dataSourceNames.tail.head) @@ -62,6 +64,12 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], val sourceTimeRange = dsTimeRanges.get(sourceName).getOrElse(TimeRange(ct)) val beginTime = sourceTimeRange.begin + val beginTmstOpt = dsTimeRanges.get(sourceName).flatMap(_.beginTmstOpt) + val beginTmst = beginTmstOpt match { + case Some(t) => t + case _ => throw new Exception(s"empty begin tmst from ${sourceName}") + } + if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { println(s"[${ct}] data source ${sourceName} not exists") emptyRulePlan @@ -93,7 +101,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], } val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, beginTime, mode) + val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, beginTmst, mode) // 3. group by self val selfGroupTableName = "__selfGroup" @@ -188,7 +196,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], } val distStep = SparkSqlStep(distTableName, distSql, emptyMap) val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, beginTime, mode) + val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, beginTmst, mode) val distMetricRulePlan = RulePlan(distStep :: Nil, distMetricExport :: Nil) @@ -208,7 +216,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], } val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, beginTime, mode) + val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, beginTmst, mode) // 10. duplicate metric val dupMetricTableName = "__dupMetric" @@ -221,7 +229,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], } val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, beginTime, mode) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, beginTmst, mode) RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) } else emptyRulePlan diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala index d9d2d4e20..f80f3c100 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/ProfilingRulePlanTrans.scala @@ -28,6 +28,8 @@ import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.rule.trans.RuleExportFactory._ import org.apache.griffin.measure.utils.ParamUtil._ +import scala.util.Try + case class ProfilingRulePlanTrans(dataSourceNames: Seq[String], timeInfo: TimeInfo, name: String, expr: Expr, param: Map[String, Any], procType: ProcessType @@ -38,7 +40,7 @@ case class ProfilingRulePlanTrans(dataSourceNames: Seq[String], } import ProfilingKeys._ - def trans(): RulePlan = { + def trans(): Try[RulePlan] = Try { val details = getDetails(param) val profilingClause = expr.asInstanceOf[ProfilingClause] val sourceName = profilingClause.fromClauseOpt match { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala index 2c0d911b2..9289053c7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/RulePlanTrans.scala @@ -25,18 +25,20 @@ import org.apache.griffin.measure.rule.dsl._ import org.apache.griffin.measure.rule.dsl.expr.Expr import org.apache.griffin.measure.rule.plan._ +import scala.util.Try + trait RulePlanTrans extends Loggable with Serializable { protected val emptyRulePlan = RulePlan(Nil, Nil) protected val emptyMap = Map[String, Any]() - def trans(): RulePlan + def trans(): Try[RulePlan] } object RulePlanTrans { private val emptyRulePlanTrans = new RulePlanTrans { - def trans(): RulePlan = emptyRulePlan + def trans(): Try[RulePlan] = Try(emptyRulePlan) } def apply(dqType: DqType, diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala index 520028921..7e9b8fb5c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/TimelinessRulePlanTrans.scala @@ -30,6 +30,8 @@ import org.apache.griffin.measure.rule.trans.RuleExportFactory._ import org.apache.griffin.measure.utils.ParamUtil._ import org.apache.griffin.measure.utils.TimeUtil +import scala.util.Try + case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], timeInfo: TimeInfo, name: String, expr: Expr, param: Map[String, Any], procType: ProcessType, @@ -50,17 +52,20 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], } import TimelinessKeys._ - def trans(): RulePlan = { + def trans(): Try[RulePlan] = Try { val details = getDetails(param) val timelinessClause = expr.asInstanceOf[TimelinessClause] val sourceName = details.getString(_source, dataSourceNames.head) val mode = ExportMode.defaultMode(procType) - val ct = timeInfo.calcTime +// val ct = timeInfo.calcTime - val sourceTimeRange = dsTimeRanges.get(sourceName).getOrElse(TimeRange(ct)) - val beginTime = sourceTimeRange.begin + val beginTmstOpt = dsTimeRanges.get(sourceName).flatMap(_.beginTmstOpt) + val beginTmst = beginTmstOpt match { + case Some(t) => t + case _ => throw new Exception(s"empty begin tmst from ${sourceName}") + } if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { emptyRulePlan @@ -124,7 +129,7 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], } val metricStep = SparkSqlStep(metricTableName, metricSql, emptyMap) val metricParam = RuleParamKeys.getMetricOpt(param).getOrElse(emptyMap) - val metricExports = genMetricExport(metricParam, name, metricTableName, ct, mode) :: Nil + val metricExports = genMetricExport(metricParam, name, metricTableName, beginTmst, mode) :: Nil // current timeliness plan val timeSteps = inTimeStep :: latencyStep :: metricStep :: Nil @@ -140,7 +145,7 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], } val recordStep = SparkSqlStep(recordTableName, recordSql, emptyMap) val recordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val recordExports = genRecordExport(recordParam, recordTableName, recordTableName, ct, mode) :: Nil + val recordExports = genRecordExport(recordParam, recordTableName, recordTableName, beginTmst, mode) :: Nil RulePlan(recordStep :: Nil, recordExports) } case _ => emptyRulePlan @@ -179,7 +184,7 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], } val rangeMetricStep = SparkSqlStep(rangeMetricTableName, rangeMetricSql, emptyMap) val rangeMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val rangeMetricExports = genMetricExport(rangeMetricParam, stepColName, rangeMetricTableName, ct, mode) :: Nil + val rangeMetricExports = genMetricExport(rangeMetricParam, stepColName, rangeMetricTableName, beginTmst, mode) :: Nil RulePlan(rangeStep :: rangeMetricStep :: Nil, rangeMetricExports) } @@ -203,7 +208,7 @@ case class TimelinessRulePlanTrans(dataSourceNames: Seq[String], } val percentileStep = SparkSqlStep(percentileTableName, percentileSql, emptyMap) val percentileParam = emptyMap - val percentielExports = genMetricExport(percentileParam, percentileTableName, percentileTableName, beginTime, mode) :: Nil + val percentielExports = genMetricExport(percentileParam, percentileTableName, percentileTableName, beginTmst, mode) :: Nil RulePlan(percentileStep :: Nil, percentielExports) } else emptyRulePlan diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala index 326d80bc0..baa55729c 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/UniquenessRulePlanTrans.scala @@ -29,6 +29,8 @@ import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.rule.trans.RuleExportFactory._ import org.apache.griffin.measure.utils.ParamUtil._ +import scala.util.Try + case class UniquenessRulePlanTrans(dataSourceNames: Seq[String], timeInfo: TimeInfo, name: String, expr: Expr, param: Map[String, Any], procType: ProcessType @@ -46,7 +48,7 @@ case class UniquenessRulePlanTrans(dataSourceNames: Seq[String], } import UniquenessKeys._ - def trans(): RulePlan = { + def trans(): Try[RulePlan] = Try { val details = getDetails(param) val sourceName = details.getString(_source, dataSourceNames.head) val targetName = details.getString(_target, dataSourceNames.tail.head) From 70685fb3b276d233f6010836cc2ec244a8b52480 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Sat, 3 Feb 2018 00:00:55 +0800 Subject: [PATCH 136/177] fix bug of tmst range --- .../data/source/cache/DataSourceCache.scala | 35 ++++++++++++------- .../trans/DistinctnessRulePlanTrans.scala | 5 +-- 2 files changed, 24 insertions(+), 16 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index 419b1417e..d61f29438 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -40,12 +40,14 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val index: Int var tmstCache: TmstCache = _ - protected def rangeTmsts(from: Long, until: Long) = tmstCache.range(from, until) + protected def fromUntilRangeTmsts(from: Long, until: Long) = tmstCache.range(from, until) protected def clearTmst(t: Long) = tmstCache.remove(t) protected def clearTmstsUntil(until: Long) = { val outDateTmsts = tmstCache.until(until) tmstCache.remove(outDateTmsts) } + protected def afterTilRangeTmsts(after: Long, til: Long) = fromUntilRangeTmsts(after + 1, til + 1) + protected def clearTmstsTil(til: Long) = clearTmstsUntil(til + 1) val _FilePath = "file.path" val _InfoPath = "info.path" @@ -127,13 +129,18 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { // read new cache data and old cache data def readData(): (Option[DataFrame], TimeRange) = { - // time range: [a, b) + // time range: (a, b] val timeRange = TimeInfoCache.getTimeRange - val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2 + 1) + val reviseTimeRange = (timeRange._1 + deltaTimeRange._1, timeRange._2 + deltaTimeRange._2) // read partition info - val filterStr = s"`${InternalColumns.tmst}` >= ${reviseTimeRange._1} AND `${InternalColumns.tmst}` < ${reviseTimeRange._2}" - println(s"read time range: [${reviseTimeRange._1}, ${reviseTimeRange._2})") + val filterStr = if (reviseTimeRange._1 == reviseTimeRange._2) { + println(s"read time range: [${reviseTimeRange._1}]") + s"`${InternalColumns.tmst}` = ${reviseTimeRange._1}" + } else { + println(s"read time range: (${reviseTimeRange._1}, ${reviseTimeRange._2}]") + s"`${InternalColumns.tmst}` > ${reviseTimeRange._1} AND `${InternalColumns.tmst}` <= ${reviseTimeRange._2}" + } // new cache data val newDfOpt = try { @@ -167,7 +174,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { // from until tmst range val (from, until) = (reviseTimeRange._1, reviseTimeRange._2) - val tmstSet = rangeTmsts(from, until) + val tmstSet = afterTilRangeTmsts(from, until) val retTimeRange = TimeRange(reviseTimeRange, tmstSet) (cacheDfOpt, retTimeRange) @@ -184,14 +191,14 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { } private def cleanOutTimePartitions(path: String, outTime: Long, partitionOpt: Option[String]): Unit = { - val earlierPaths = listEarlierPartitions(path: String, outTime, partitionOpt) + val earlierOrEqPaths = listEarlierOrEqPartitions(path: String, outTime, partitionOpt) // delete out time data path - earlierPaths.foreach { path => + earlierOrEqPaths.foreach { path => println(s"delete hdfs path: ${path}") HdfsUtil.deleteHdfsPath(path) } } - private def listEarlierPartitions(path: String, bound: Long, partitionOpt: Option[String]): Iterable[String] = { + private def listEarlierOrEqPartitions(path: String, bound: Long, partitionOpt: Option[String]): Iterable[String] = { val names = HdfsUtil.listSubPathsByType(path, "dir") val regex = partitionOpt match { case Some(partition) => s"^${partition}=(\\d+)$$".r @@ -201,7 +208,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { name match { case regex(value) => { str2Long(value) match { - case Some(t) => (t < bound) + case Some(t) => (t <= bound) case _ => false } } @@ -219,6 +226,10 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { // clean out time from new cache data and old cache data def cleanOutTimeData(): Unit = { + // clean tmst + val cleanTime = readCleanTime + cleanTime.foreach(clearTmstsTil(_)) + if (!readOnly) { // new cache data val newCacheCleanTime = if (updatable) readLastProcTime else readCleanTime @@ -287,7 +298,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val cleanTime = readCleanTime val updateDf = cleanTime match { case Some(ct) => { - val filterStr = s"`${InternalColumns.tmst}` >= ${ct}" + val filterStr = s"`${InternalColumns.tmst}` > ${ct}" df.filter(filterStr) } case _ => df @@ -326,7 +337,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { submitLastProcTime(timeRange._2) // next clean time - val nextCleanTime = timeRange._2 + deltaTimeRange._1 + 1 + val nextCleanTime = timeRange._2 + deltaTimeRange._1 submitCleanTime(nextCleanTime) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala index 40a8102ec..f45911f05 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala @@ -61,9 +61,6 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], val ct = timeInfo.calcTime - val sourceTimeRange = dsTimeRanges.get(sourceName).getOrElse(TimeRange(ct)) - val beginTime = sourceTimeRange.begin - val beginTmstOpt = dsTimeRanges.get(sourceName).flatMap(_.beginTmstOpt) val beginTmst = beginTmstOpt match { case Some(t) => t @@ -126,7 +123,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], // 4. older alias val olderAliasTableName = "__older" val olderAliasSql = { - s"SELECT ${selClause} FROM `${targetName}` WHERE `${InternalColumns.tmst}` < ${beginTime}" + s"SELECT ${selClause} FROM `${targetName}` WHERE `${InternalColumns.tmst}` < ${beginTmst}" } val olderAliasStep = SparkSqlStep(olderAliasTableName, olderAliasSql, emptyMap) From 74047f125f339bfeaa33818b77865d7b05f385c7 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 5 Feb 2018 12:30:10 +0800 Subject: [PATCH 137/177] thread log in streaming process --- .../org/apache/griffin/measure/process/StreamingDqThread.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala index dc49df07e..f67724f27 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqThread.scala @@ -138,7 +138,7 @@ case class StreamingDqThread(sqlContext: SQLContext, private def printTimeRanges(timeRanges: Map[String, TimeRange]): Unit = { val timeRangesStr = timeRanges.map { pair => val (name, timeRange) = pair - s"${name} -> [${timeRange.begin}, ${timeRange.end})" + s"${name} -> (${timeRange.begin}, ${timeRange.end}]" }.mkString(", ") println(s"data source timeRanges: ${timeRangesStr}") } From 5a10717b2e2efb6952e9c5e4c011a7fa3ac33614 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 7 Feb 2018 16:23:41 +0800 Subject: [PATCH 138/177] regex replacement --- .../source/cache/ParquetDataSourceCache.scala | 2 +- .../measure/rule/udf/GriffinUdfs.scala | 12 +++-- .../_profiling-batch-griffindsl.json | 2 +- .../measure/rule/udf/GriffinUdfsTest.scala | 50 +++++++++++++++++++ 4 files changed, 60 insertions(+), 6 deletions(-) create mode 100644 measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala index 1761f562a..89cd0b771 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/ParquetDataSourceCache.scala @@ -25,7 +25,7 @@ case class ParquetDataSourceCache(sqlContext: SQLContext, param: Map[String, Any ) extends DataSourceCache { override def init(): Unit = { - sqlContext.sparkContext.hadoopConfiguration.set("parquet.enable.summary-metadata", "false"); + sqlContext.sparkContext.hadoopConfiguration.set("parquet.enable.summary-metadata", "false") } def writeDataFrame(dfw: DataFrameWriter, path: String): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala index 37d2a5aa7..3f2695de5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala @@ -23,16 +23,20 @@ import org.apache.spark.sql.SQLContext object GriffinUdfs { def register(sqlContext: SQLContext): Unit = { - sqlContext.udf.register("index_of", indexOf) - sqlContext.udf.register("matches", matches) + sqlContext.udf.register("index_of", indexOf _) + sqlContext.udf.register("matches", matches _) } - private val indexOf = (arr: Seq[String], v: String) => { + private def indexOf(arr: Seq[String], v: String) = { arr.indexOf(v) } - private val matches = (s: String, regex: String) => { + private def matches(s: String, regex: String) = { s.matches(regex) } + private def regexSubstr(s: String, regex: String, replacement: String) = { + s.replaceAll(regex, replacement) + } + } \ No newline at end of file diff --git a/measure/src/test/resources/_profiling-batch-griffindsl.json b/measure/src/test/resources/_profiling-batch-griffindsl.json index 043ba8506..b9832bf48 100644 --- a/measure/src/test/resources/_profiling-batch-griffindsl.json +++ b/measure/src/test/resources/_profiling-batch-griffindsl.json @@ -26,7 +26,7 @@ "dsl.type": "griffin-dsl", "dq.type": "profiling", "name": "prof", - "rule": "count(*) from source", + "rule": "count(*) from source where matches(first_name, '^Tom0\\\\d+$')", "metric": { "name": "prof" } diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala new file mode 100644 index 000000000..e185884a5 --- /dev/null +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala @@ -0,0 +1,50 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.udf + + +import org.junit.runner.RunWith +import org.scalatest.junit.JUnitRunner +import org.scalatest.{BeforeAndAfter, FunSuite, Matchers} +//import org.scalatest.FlatSpec +import org.scalatest.PrivateMethodTester +//import org.scalamock.scalatest.MockFactory + +@RunWith(classOf[JUnitRunner]) +class GriffinUdfsTest extends FunSuite with Matchers with BeforeAndAfter with PrivateMethodTester { + + test ("test indexOf") { + val inv = new Invocation[Int]('indexOf, "a" :: "b" :: "c" :: Nil, "b") + GriffinUdfs.invokePrivate(inv) should be (1) + } + + test ("test matches") { + val inv = new Invocation[Boolean]('matches, "s123", "^s\\d+$") + GriffinUdfs.invokePrivate(inv) should be (true) + } + + test ("test regexSubstr") { + val str = "https://www.abc.com/test/dp/AAA/ref=sr_1_1/123-456?id=123" + val regexStr = """^([^/]+://[^/]+)(?:/[^/]+)?(/dp/[^/]+)(?:/.*)?$""" + val replacement = "$1$2" + val inv = new Invocation[String]('regexSubstr, str, regexStr, replacement) + GriffinUdfs.invokePrivate(inv) should be ("https://www.abc.com/dp/AAA") + } + +} From 4b75055b29a0e6c7b0256c2d21e1f2dfd26b3eeb Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 7 Feb 2018 18:19:22 +0800 Subject: [PATCH 139/177] regex replace --- .../griffin/measure/rule/udf/GriffinUdfs.scala | 3 ++- .../resources/_profiling-batch-griffindsl.json | 14 +++++++++++--- .../griffin/measure/rule/udf/GriffinUdfsTest.scala | 8 ++++---- 3 files changed, 17 insertions(+), 8 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala index 3f2695de5..1d9eb8b9d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/udf/GriffinUdfs.scala @@ -25,6 +25,7 @@ object GriffinUdfs { def register(sqlContext: SQLContext): Unit = { sqlContext.udf.register("index_of", indexOf _) sqlContext.udf.register("matches", matches _) + sqlContext.udf.register("reg_replace", regReplace _) } private def indexOf(arr: Seq[String], v: String) = { @@ -35,7 +36,7 @@ object GriffinUdfs { s.matches(regex) } - private def regexSubstr(s: String, regex: String, replacement: String) = { + private def regReplace(s: String, regex: String, replacement: String) = { s.replaceAll(regex, replacement) } diff --git a/measure/src/test/resources/_profiling-batch-griffindsl.json b/measure/src/test/resources/_profiling-batch-griffindsl.json index b9832bf48..fec178d13 100644 --- a/measure/src/test/resources/_profiling-batch-griffindsl.json +++ b/measure/src/test/resources/_profiling-batch-griffindsl.json @@ -14,7 +14,14 @@ "version": "1.7", "config": { "file.name": "src/test/resources/users_info_src.avro" - } + }, + "pre.proc": [ + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select reg_replace(email, '^([^@0-9]+)([0-9]+)@(dc)(?:\\\\.[^@]+)$', '$1@$3') as email, post_code from ${this}" + } + ] } ] } @@ -26,9 +33,10 @@ "dsl.type": "griffin-dsl", "dq.type": "profiling", "name": "prof", - "rule": "count(*) from source where matches(first_name, '^Tom0\\\\d+$')", + "rule": "email, count(*) from source group by email", "metric": { - "name": "prof" + "name": "prof", + "collect.type": "array" } }, { diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala index e185884a5..7f747163b 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala @@ -40,11 +40,11 @@ class GriffinUdfsTest extends FunSuite with Matchers with BeforeAndAfter with Pr } test ("test regexSubstr") { - val str = "https://www.abc.com/test/dp/AAA/ref=sr_1_1/123-456?id=123" - val regexStr = """^([^/]+://[^/]+)(?:/[^/]+)?(/dp/[^/]+)(?:/.*)?$""" + val str = "https://www.abc.com/test/dp/B023/ref=sr_1_1/123-456?id=123" + val regexStr = """^([^/]+://[^/]+)(?:/[^/]+)?(/dp/[A-Z0-9]+)(?:/.*)?$""" val replacement = "$1$2" - val inv = new Invocation[String]('regexSubstr, str, regexStr, replacement) - GriffinUdfs.invokePrivate(inv) should be ("https://www.abc.com/dp/AAA") + val inv = new Invocation[String]('regReplace, str, regexStr, replacement) + GriffinUdfs.invokePrivate(inv) should be ("https://www.abc.com/dp/B023") } } From db5368c166dd8fffb2f68f378869c3d2b820a825 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 7 Feb 2018 18:44:41 +0800 Subject: [PATCH 140/177] modify distinct trans --- .../measure/rule/trans/DistinctnessRulePlanTrans.scala | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala index f45911f05..5e3819cd7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala @@ -61,7 +61,12 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], val ct = timeInfo.calcTime - val beginTmstOpt = dsTimeRanges.get(sourceName).flatMap(_.beginTmstOpt) +// val beginTmstOpt = dsTimeRanges.get(sourceName).flatMap(_.beginTmstOpt) +// val beginTmst = beginTmstOpt match { +// case Some(t) => t +// case _ => throw new Exception(s"empty begin tmst from ${sourceName}") +// } + val beginTmstOpt = dsTimeRanges.get(sourceName).map(_.end) val beginTmst = beginTmstOpt match { case Some(t) => t case _ => throw new Exception(s"empty begin tmst from ${sourceName}") From cb149ade1c374dbd07cffb69c1881a60fe8256d0 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 8 Feb 2018 15:22:41 +0800 Subject: [PATCH 141/177] json --- measure/src/test/resources/_profiling-batch-griffindsl.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/measure/src/test/resources/_profiling-batch-griffindsl.json b/measure/src/test/resources/_profiling-batch-griffindsl.json index fec178d13..ec082c456 100644 --- a/measure/src/test/resources/_profiling-batch-griffindsl.json +++ b/measure/src/test/resources/_profiling-batch-griffindsl.json @@ -33,7 +33,7 @@ "dsl.type": "griffin-dsl", "dq.type": "profiling", "name": "prof", - "rule": "email, count(*) from source group by email", + "rule": "email, count(*) as cnt from source group by email", "metric": { "name": "prof", "collect.type": "array" @@ -43,7 +43,7 @@ "dsl.type": "griffin-dsl", "dq.type": "profiling", "name": "grp", - "rule": "source.post_code, count(*) from source group by source.post_code", + "rule": "source.post_code, count(*) as cnt from source group by source.post_code order by cnt desc", "metric": { "name": "post_group", "collect.type": "array" From fb5045f393af97e4117ad82caa67addafdfbca89 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 9 Feb 2018 10:08:51 +0800 Subject: [PATCH 142/177] update version in docker doc --- griffin-doc/docker/griffin-docker-guide.md | 4 ++-- griffin-doc/docker/svc_msr/docker-compose-batch.yml | 2 +- .../docker/svc_msr/docker-compose-streaming.yml | 2 +- .../griffin/measure/rule/udf/GriffinUdfsTest.scala | 10 ++++++---- 4 files changed, 10 insertions(+), 8 deletions(-) diff --git a/griffin-doc/docker/griffin-docker-guide.md b/griffin-doc/docker/griffin-docker-guide.md index 2336743fc..bc3675911 100644 --- a/griffin-doc/docker/griffin-docker-guide.md +++ b/griffin-doc/docker/griffin-docker-guide.md @@ -30,14 +30,14 @@ Griffin docker images are pre-built on docker hub, users can pull them to try gr ``` 3. Pull griffin pre-built docker images. ``` - docker pull bhlx3lyx7/svc_msr:0.1.6 + docker pull bhlx3lyx7/svc_msr:0.2.0 docker pull bhlx3lyx7/elasticsearch docker pull bhlx3lyx7/kafka docker pull zookeeper:3.5 ``` Or you can pull the images faster through mirror acceleration if you are in China. ``` - docker pull registry.docker-cn.com/bhlx3lyx7/svc_msr:0.1.6 + docker pull registry.docker-cn.com/bhlx3lyx7/svc_msr:0.2.0 docker pull registry.docker-cn.com/bhlx3lyx7/elasticsearch docker pull registry.docker-cn.com/bhlx3lyx7/kafka docker pull registry.docker-cn.com/zookeeper:3.5 diff --git a/griffin-doc/docker/svc_msr/docker-compose-batch.yml b/griffin-doc/docker/svc_msr/docker-compose-batch.yml index f54224744..fb14072d1 100644 --- a/griffin-doc/docker/svc_msr/docker-compose-batch.yml +++ b/griffin-doc/docker/svc_msr/docker-compose-batch.yml @@ -16,7 +16,7 @@ #under the License. griffin: - image: bhlx3lyx7/svc_msr:0.1.6 + image: bhlx3lyx7/svc_msr:0.2.0 hostname: griffin links: - es diff --git a/griffin-doc/docker/svc_msr/docker-compose-streaming.yml b/griffin-doc/docker/svc_msr/docker-compose-streaming.yml index 8c22b647f..22110eec4 100644 --- a/griffin-doc/docker/svc_msr/docker-compose-streaming.yml +++ b/griffin-doc/docker/svc_msr/docker-compose-streaming.yml @@ -16,7 +16,7 @@ #under the License. griffin: - image: bhlx3lyx7/svc_msr:0.1.6 + image: bhlx3lyx7/svc_msr:0.2.0 hostname: griffin links: - es diff --git a/measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala b/measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala index 7f747163b..af70bd8ee 100644 --- a/measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala +++ b/measure/src/test/scala/org/apache/griffin/measure/rule/udf/GriffinUdfsTest.scala @@ -40,11 +40,13 @@ class GriffinUdfsTest extends FunSuite with Matchers with BeforeAndAfter with Pr } test ("test regexSubstr") { - val str = "https://www.abc.com/test/dp/B023/ref=sr_1_1/123-456?id=123" - val regexStr = """^([^/]+://[^/]+)(?:/[^/]+)?(/dp/[A-Z0-9]+)(?:/.*)?$""" - val replacement = "$1$2" + val str = "https://www.abc.com/test/gp/product/B023/ref=sr_1_1/123-456?id=123" +// val regexStr = """^([^/]+://[^/]+)(?:/[^/]+)?(/dp/[A-Z0-9]+)(?:/.*)?$""" + val regexStr = """^([^/]+://[^/]+)(?:/[^/]+)?(?:/[dg]p(?:/product)?/)([A-Z0-9]+)(?:/.*)?$""" + val replacement = "$1/dp/$2" val inv = new Invocation[String]('regReplace, str, regexStr, replacement) - GriffinUdfs.invokePrivate(inv) should be ("https://www.abc.com/dp/B023") + println(GriffinUdfs.invokePrivate(inv)) +// GriffinUdfs.invokePrivate(inv) should be ("https://www.abc.com/dp/B023") } } From 555ec9fb3dabfd9b8bef53121f448b06ed3273ef Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 9 Feb 2018 11:56:48 +0800 Subject: [PATCH 143/177] enhance distinct to update old data, and fix data source cache update data filter bug and read old cache data bug --- .../data/source/cache/DataSourceCache.scala | 47 ++++++++++++------- .../trans/DistinctnessRulePlanTrans.scala | 15 +++++- 2 files changed, 44 insertions(+), 18 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index d61f29438..ac67557de 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -159,8 +159,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val oldDfPath = s"${oldFilePath}/${idx}" try { val dfr = sqlContext.read -// Some(readDataFrame(dfr, oldDfPath).filter(filterStr)) - Some(readDataFrame(dfr, oldDfPath)) // not need to filter, has filtered in update phase + Some(readDataFrame(dfr, oldDfPath).filter(filterStr)) } catch { case e: Throwable => { warn(s"read old data source cache warn: ${e.getMessage}") @@ -190,15 +189,19 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { } } - private def cleanOutTimePartitions(path: String, outTime: Long, partitionOpt: Option[String]): Unit = { - val earlierOrEqPaths = listEarlierOrEqPartitions(path: String, outTime, partitionOpt) + private def cleanOutTimePartitions(path: String, outTime: Long, partitionOpt: Option[String], + func: (Long, Long) => Boolean + ): Unit = { + val earlierOrEqPaths = listPartitionsByFunc(path: String, outTime, partitionOpt, func) // delete out time data path earlierOrEqPaths.foreach { path => println(s"delete hdfs path: ${path}") HdfsUtil.deleteHdfsPath(path) } } - private def listEarlierOrEqPartitions(path: String, bound: Long, partitionOpt: Option[String]): Iterable[String] = { + private def listPartitionsByFunc(path: String, bound: Long, partitionOpt: Option[String], + func: (Long, Long) => Boolean + ): Iterable[String] = { val names = HdfsUtil.listSubPathsByType(path, "dir") val regex = partitionOpt match { case Some(partition) => s"^${partition}=(\\d+)$$".r @@ -208,7 +211,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { name match { case regex(value) => { str2Long(value) match { - case Some(t) => (t <= bound) + case Some(t) => func(t, bound) case _ => false } } @@ -239,7 +242,8 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) if (newCacheLocked) { try { - cleanOutTimePartitions(newFilePath, nct, Some(InternalColumns.tmst)) + cleanOutTimePartitions(newFilePath, nct, Some(InternalColumns.tmst), + (a: Long, b: Long) => (a <= b)) } catch { case e: Throwable => error(s"clean new cache data error: ${e.getMessage}") } finally { @@ -263,7 +267,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { if (oldCacheLocked) { try { // clean calculated old cache data - cleanOutTimePartitions(oldFilePath, idx, None) + cleanOutTimePartitions(oldFilePath, idx, None, (a: Long, b: Long) => (a < b)) // clean out time old cache data not calculated // cleanOutTimePartitions(oldDfPath, oct, Some(InternalColumns.tmst)) } catch { @@ -294,15 +298,17 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val nextOldCacheIndex = oldCacheIndexOpt.getOrElse(defOldCacheIndex) + 1 val oldDfPath = s"${oldFilePath}/${nextOldCacheIndex}" -// val dfw = df.write.mode(SaveMode.Overwrite).partitionBy(InternalColumns.tmst) - val cleanTime = readCleanTime - val updateDf = cleanTime match { - case Some(ct) => { - val filterStr = s"`${InternalColumns.tmst}` > ${ct}" - df.filter(filterStr) - } - case _ => df - } +// val cleanTime = readCleanTime +// val updateDf = cleanTime match { +// case Some(ct) => { +// val filterStr = s"`${InternalColumns.tmst}` > ${ct}" +// df.filter(filterStr) +// } +// case _ => df +// } + val cleanTime = getNextCleanTime + val filterStr = s"`${InternalColumns.tmst}` > ${cleanTime}" + val updateDf = df.filter(filterStr) val prlCount = sqlContext.sparkContext.defaultParallelism // coalesce @@ -341,4 +347,11 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { submitCleanTime(nextCleanTime) } + // read next clean time + private def getNextCleanTime(): Long = { + val timeRange = TimeInfoCache.getTimeRange + val nextCleanTime = timeRange._2 + deltaTimeRange._1 + nextCleanTime + } + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala index 5e3819cd7..7820d0c66 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala @@ -27,6 +27,7 @@ import org.apache.griffin.measure.rule.dsl.analyzer.DistinctnessAnalyzer import org.apache.griffin.measure.rule.dsl.expr._ import org.apache.griffin.measure.rule.plan._ import org.apache.griffin.measure.rule.trans.RuleExportFactory._ +import org.apache.griffin.measure.rule.trans.DsUpdateFactory._ import org.apache.griffin.measure.utils.ParamUtil._ import scala.util.Try @@ -125,6 +126,14 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], val (distRulePlan, dupCountTableName) = procType match { case StreamingProcessType if (withOlderTable) => { + // 4.0 update old data +// val updateOldTableName = "__updateOld" +// val updateOldSql = { +// s"SELECT * FROM `${targetName}`" +// } + val updateParam = emptyMap + val targetDsUpdate = genDsUpdate(updateParam, targetName, targetName) + // 4. older alias val olderAliasTableName = "__older" val olderAliasSql = { @@ -179,7 +188,11 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], } val finalDupCountStep = SparkSqlStep(finalDupCountTableName, finalDupCountSql, emptyMap, true) - val rulePlan = RulePlan(olderAliasStep :: joinedStep :: groupStep :: finalDupCountStep :: Nil, Nil) + val rulePlan = RulePlan( + olderAliasStep :: joinedStep :: groupStep :: finalDupCountStep :: Nil, + Nil, + targetDsUpdate :: Nil + ) (rulePlan, finalDupCountTableName) } case _ => { From 925d508fd53d689596b675c21195a5899b6341cd Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Fri, 9 Feb 2018 17:59:45 +0800 Subject: [PATCH 144/177] fix bug of data connector --- .../apache/griffin/measure/data/connector/DataConnector.scala | 1 + 1 file changed, 1 insertion(+) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala index b8589916f..ea35204c1 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnector.scala @@ -124,6 +124,7 @@ trait DataConnector extends Loggable with Serializable { private def cleanData(timeInfo: TimeInfo): Unit = { TableRegisters.unregisterRunTempTables(sqlContext, timeInfo.key) + TableRegisters.unregisterCompileTempTables(timeInfo.key) DataFrameCaches.uncacheDataFrames(timeInfo.key) DataFrameCaches.clearTrashDataFrames(timeInfo.key) From a69ed8f3c92f8ece17d35dfd12b9d1806b829fb8 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 12 Feb 2018 13:59:38 +0800 Subject: [PATCH 145/177] version 0.2.0 --- measure/pom.xml | 2 +- pom.xml | 2 +- service/pom.xml | 2 +- ui/pom.xml | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/measure/pom.xml b/measure/pom.xml index a0ff83846..8cecb717c 100644 --- a/measure/pom.xml +++ b/measure/pom.xml @@ -23,7 +23,7 @@ under the License. org.apache.griffin griffin - 0.1.7-incubating-SNAPSHOT + 0.2.0-incubating-SNAPSHOT measure diff --git a/pom.xml b/pom.xml index dbc9f9370..a3698d25b 100644 --- a/pom.xml +++ b/pom.xml @@ -30,7 +30,7 @@ under the License. org.apache.griffin griffin - 0.1.7-incubating-SNAPSHOT + 0.2.0-incubating-SNAPSHOT pom Apache Griffin ${project.version} http://griffin.incubator.apache.org diff --git a/service/pom.xml b/service/pom.xml index 502b312fe..eb1e066fd 100644 --- a/service/pom.xml +++ b/service/pom.xml @@ -24,7 +24,7 @@ under the License. org.apache.griffin griffin - 0.1.7-incubating-SNAPSHOT + 0.2.0-incubating-SNAPSHOT service diff --git a/ui/pom.xml b/ui/pom.xml index 83bfd88f5..707f7c153 100644 --- a/ui/pom.xml +++ b/ui/pom.xml @@ -24,7 +24,7 @@ under the License. org.apache.griffin griffin - 0.1.7-incubating-SNAPSHOT + 0.2.0-incubating-SNAPSHOT ui pom From 06ce9dad4cd4d8d9197f007b7303da4e64504090 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 12 Feb 2018 15:38:16 +0800 Subject: [PATCH 146/177] prof root path done --- ui/angular/src/app/measure/create-measure/pr/pr.component.ts | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/ui/angular/src/app/measure/create-measure/pr/pr.component.ts b/ui/angular/src/app/measure/create-measure/pr/pr.component.ts index c324013d7..2fa998918 100644 --- a/ui/angular/src/app/measure/create-measure/pr/pr.component.ts +++ b/ui/angular/src/app/measure/create-measure/pr/pr.component.ts @@ -413,7 +413,7 @@ export class PrComponent implements AfterViewChecked, OnInit { { type: "file.exist", config: { - "root.path": this.location, + "root.path": this.srclocation, path: this.path } } @@ -668,4 +668,4 @@ export class PrComponent implements AfterViewChecked, OnInit { ngAfterViewChecked() { this.resizeWindow(); } -} \ No newline at end of file +} From 897c30975ce448d46318e8042a35fc1c019fb7b4 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 12 Feb 2018 15:57:09 +0800 Subject: [PATCH 147/177] create job: range with time unit --- .../job/create-job/create-job.component.ts | 24 +++++++++++++++---- 1 file changed, 20 insertions(+), 4 deletions(-) diff --git a/ui/angular/src/app/job/create-job/create-job.component.ts b/ui/angular/src/app/job/create-job/create-job.component.ts index 1c55bc14e..e36c1f02d 100644 --- a/ui/angular/src/app/job/create-job/create-job.component.ts +++ b/ui/angular/src/app/job/create-job/create-job.component.ts @@ -161,13 +161,17 @@ export class CreateJobComponent implements OnInit, AfterViewChecked { ] }; for (let i = 0; i < this.dropdownList.length; i++) { + var connector = this.dropdownList[i]; + var begin = this.someKeyboard[i][0]; var length = this.someKeyboard[i][1] - this.someKeyboard[i][0]; + var beginStr = this.getTimeByUnit(begin, connector.size); + var lengthStr = this.getTimeByUnit(length, connector.size); this.newJob["data.segments"].push({ - "data.connector.name": this.dropdownList[i].connectorname, + "data.connector.name": connector.connectorname, "as.baseline": true, "segment.range": { - begin: this.someKeyboard[i][0], - length: length + begin: beginStr, + length: lengthStr } }); this.originBegin.push(this.someKeyboard[i][0]); @@ -235,6 +239,18 @@ export class CreateJobComponent implements OnInit, AfterViewChecked { $("#md-datepicker-0").height(250); } + getTimeByUnit(multiplier, unit) { + var regex = /^(\d+)([a-zA-Z]+)$/g; + var arr = regex.exec(unit); + if (arr.length > 2) { + var n = parseInt(arr[1]); + var unitStr = arr[2]; + return ((n * multiplier).toString() + arr[2]); + } else { + return multiplier.toString(); + } + } + getMeasureId() { for (let index in this.Measures) { if (this.measure == this.Measures[index].name) { @@ -372,4 +388,4 @@ export class CreateJobComponent implements OnInit, AfterViewChecked { ngAfterViewChecked() { this.resizeWindow(); } -} \ No newline at end of file +} From 40b9bb239f495a74ed1788550766d11984e86b9e Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 12 Feb 2018 16:32:35 +0800 Subject: [PATCH 148/177] create job: begin and length with unit when submit job --- ui/angular/src/app/job/create-job/create-job.component.ts | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/ui/angular/src/app/job/create-job/create-job.component.ts b/ui/angular/src/app/job/create-job/create-job.component.ts index e36c1f02d..4ec7c57b8 100644 --- a/ui/angular/src/app/job/create-job/create-job.component.ts +++ b/ui/angular/src/app/job/create-job/create-job.component.ts @@ -174,8 +174,8 @@ export class CreateJobComponent implements OnInit, AfterViewChecked { length: lengthStr } }); - this.originBegin.push(this.someKeyboard[i][0]); - this.originLength.push(length); + this.originBegin.push(beginStr); + this.originLength.push(lengthStr); } if (this.dropdownList.length == 2) { delete this.newJob["data.segments"][1]["as.baseline"]; From 7b7babf5f1d14e28c8aa852014bcac3e54418b31 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 12 Feb 2018 17:21:24 +0800 Subject: [PATCH 149/177] fix bug of get metrics --- .../java/org/apache/griffin/core/metric/MetricStoreImpl.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/service/src/main/java/org/apache/griffin/core/metric/MetricStoreImpl.java b/service/src/main/java/org/apache/griffin/core/metric/MetricStoreImpl.java index 6391cbeb9..c3243fcd3 100644 --- a/service/src/main/java/org/apache/griffin/core/metric/MetricStoreImpl.java +++ b/service/src/main/java/org/apache/griffin/core/metric/MetricStoreImpl.java @@ -102,8 +102,8 @@ public List getMetricValues(String metricName, int from, int size, private HttpEntity getHttpEntityForSearch(String metricName, int from, int size, long tmst) throws JsonProcessingException { Map map = new HashMap<>(); Map queryParam = new HashMap<>(); - Map rangeQuery = Collections.singletonMap("tmst", Collections.singletonMap("gte", tmst)); - queryParam.put("must", Collections.singletonMap("range", rangeQuery)); +// Map rangeQuery = Collections.singletonMap("tmst", Collections.singletonMap("gte", tmst)); +// queryParam.put("must", Collections.singletonMap("range", rangeQuery)); Map termQuery = Collections.singletonMap("name.keyword", metricName); queryParam.put("filter", Collections.singletonMap("term", termQuery)); Map sortParam = Collections.singletonMap("tmst", Collections.singletonMap("order", "desc")); From bd3e6e468c0ad2b46d2499f0e2ced4a341a0285a Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 26 Feb 2018 09:49:16 +0800 Subject: [PATCH 150/177] dist fix bug --- .../trans/DistinctnessRulePlanTrans.scala | 22 ++++--- .../_distinctness-batch-griffindsl2.json | 59 +++++++++++++++++++ 2 files changed, 69 insertions(+), 12 deletions(-) create mode 100644 measure/src/test/resources/_distinctness-batch-griffindsl2.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala index 7820d0c66..1ec970bfc 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala @@ -62,16 +62,14 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], val ct = timeInfo.calcTime -// val beginTmstOpt = dsTimeRanges.get(sourceName).flatMap(_.beginTmstOpt) -// val beginTmst = beginTmstOpt match { -// case Some(t) => t -// case _ => throw new Exception(s"empty begin tmst from ${sourceName}") -// } - val beginTmstOpt = dsTimeRanges.get(sourceName).map(_.end) - val beginTmst = beginTmstOpt match { + val beginTmst = dsTimeRanges.get(sourceName).map(_.begin) match { case Some(t) => t case _ => throw new Exception(s"empty begin tmst from ${sourceName}") } + val endTmst = dsTimeRanges.get(sourceName).map(_.end) match { + case Some(t) => t + case _ => throw new Exception(s"empty end tmst from ${sourceName}") + } if (!TableRegisters.existRunTempTable(timeInfo.key, sourceName)) { println(s"[${ct}] data source ${sourceName} not exists") @@ -104,7 +102,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], } val totalStep = SparkSqlStep(totalTableName, totalSql, emptyMap) val totalMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, beginTmst, mode) + val totalMetricExport = genMetricExport(totalMetricParam, totalColName, totalTableName, endTmst, mode) // 3. group by self val selfGroupTableName = "__selfGroup" @@ -137,7 +135,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], // 4. older alias val olderAliasTableName = "__older" val olderAliasSql = { - s"SELECT ${selClause} FROM `${targetName}` WHERE `${InternalColumns.tmst}` < ${beginTmst}" + s"SELECT ${selClause} FROM `${targetName}` WHERE `${InternalColumns.tmst}` <= ${beginTmst}" } val olderAliasStep = SparkSqlStep(olderAliasTableName, olderAliasSql, emptyMap) @@ -211,7 +209,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], } val distStep = SparkSqlStep(distTableName, distSql, emptyMap) val distMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, EntriesCollectType.desc) - val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, beginTmst, mode) + val distMetricExport = genMetricExport(distMetricParam, distColName, distTableName, endTmst, mode) val distMetricRulePlan = RulePlan(distStep :: Nil, distMetricExport :: Nil) @@ -231,7 +229,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], } val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, beginTmst, mode) + val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, endTmst, mode) // 10. duplicate metric val dupMetricTableName = "__dupMetric" @@ -244,7 +242,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], } val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, beginTmst, mode) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, endTmst, mode) RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) } else emptyRulePlan diff --git a/measure/src/test/resources/_distinctness-batch-griffindsl2.json b/measure/src/test/resources/_distinctness-batch-griffindsl2.json new file mode 100644 index 000000000..c16fb0a3b --- /dev/null +++ b/measure/src/test/resources/_distinctness-batch-griffindsl2.json @@ -0,0 +1,59 @@ +{ + "name": "dist_batch", + + "process.type": "batch", + + "timestamp": 123456, + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/rst.avro" + } + } + ] + }, + { + "name": "target", + "baseline": true, + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/rst.avro" + } + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "distinct", + "name": "dist", + "rule": "url", + "details": { + "source": "source", + "target": "target", + "total": "total", + "distinct": "distinct", + "dup": "dup", + "num": "num", + "duplication.array": "dup" + }, + "metric": { + "name": "distinct" + } + } + ] + } +} \ No newline at end of file From cf7f8e80563ad026c2f762bbca4007302f8cc402 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 26 Feb 2018 10:27:59 +0800 Subject: [PATCH 151/177] remove distinct batch griffindsl json 2 --- .../_distinctness-batch-griffindsl2.json | 59 ------------------- 1 file changed, 59 deletions(-) delete mode 100644 measure/src/test/resources/_distinctness-batch-griffindsl2.json diff --git a/measure/src/test/resources/_distinctness-batch-griffindsl2.json b/measure/src/test/resources/_distinctness-batch-griffindsl2.json deleted file mode 100644 index c16fb0a3b..000000000 --- a/measure/src/test/resources/_distinctness-batch-griffindsl2.json +++ /dev/null @@ -1,59 +0,0 @@ -{ - "name": "dist_batch", - - "process.type": "batch", - - "timestamp": 123456, - - "data.sources": [ - { - "name": "source", - "baseline": true, - "connectors": [ - { - "type": "avro", - "version": "1.7", - "config": { - "file.name": "src/test/resources/rst.avro" - } - } - ] - }, - { - "name": "target", - "baseline": true, - "connectors": [ - { - "type": "avro", - "version": "1.7", - "config": { - "file.name": "src/test/resources/rst.avro" - } - } - ] - } - ], - - "evaluate.rule": { - "rules": [ - { - "dsl.type": "griffin-dsl", - "dq.type": "distinct", - "name": "dist", - "rule": "url", - "details": { - "source": "source", - "target": "target", - "total": "total", - "distinct": "distinct", - "dup": "dup", - "num": "num", - "duplication.array": "dup" - }, - "metric": { - "name": "distinct" - } - } - ] - } -} \ No newline at end of file From f7a0b3fb7c18289ed3d3827f8e6a587d2d4f90fb Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 27 Feb 2018 11:09:38 +0800 Subject: [PATCH 152/177] docker compose --- griffin-doc/docker/svc_msr/docker-compose-batch.yml | 2 ++ griffin-doc/docker/svc_msr/docker-compose-streaming.yml | 2 ++ 2 files changed, 4 insertions(+) diff --git a/griffin-doc/docker/svc_msr/docker-compose-batch.yml b/griffin-doc/docker/svc_msr/docker-compose-batch.yml index fb14072d1..6c1cd4917 100644 --- a/griffin-doc/docker/svc_msr/docker-compose-batch.yml +++ b/griffin-doc/docker/svc_msr/docker-compose-batch.yml @@ -22,6 +22,8 @@ griffin: - es environment: ES_HOSTNAME: es + volumes: + - /var/lib/mysql ports: - 32122:2122 - 38088:8088 diff --git a/griffin-doc/docker/svc_msr/docker-compose-streaming.yml b/griffin-doc/docker/svc_msr/docker-compose-streaming.yml index 22110eec4..3c5280f54 100644 --- a/griffin-doc/docker/svc_msr/docker-compose-streaming.yml +++ b/griffin-doc/docker/svc_msr/docker-compose-streaming.yml @@ -26,6 +26,8 @@ griffin: ES_HOSTNAME: es ZK_HOSTNAME: zk KAFKA_HOSTNAME: kafka + volumes: + - /var/lib/mysql ports: - 32122:2122 - 38088:8088 From f9c67491995ef7b6cb29c46f845f260c81ea56d9 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Mon, 5 Mar 2018 14:42:19 +0800 Subject: [PATCH 153/177] remove demo docker doc --- griffin-doc/docker/measure-demo-docker.md | 63 ----------------------- 1 file changed, 63 deletions(-) delete mode 100644 griffin-doc/docker/measure-demo-docker.md diff --git a/griffin-doc/docker/measure-demo-docker.md b/griffin-doc/docker/measure-demo-docker.md deleted file mode 100644 index bdda030c0..000000000 --- a/griffin-doc/docker/measure-demo-docker.md +++ /dev/null @@ -1,63 +0,0 @@ - - -# Griffin Measure Demo Docker -We've prepared a docker for griffin measure demo. - -## Preparation -1. Install [docker](https://docs.docker.com/engine/installation/). -2. Download docker image. In this image, the environment for measure module has been prepared, including: hadoop, hive, spark, mysql. -``` -docker pull bhlx3lyx7/griffin_measure_demo:0.0.1 -``` -3. Run docker image. -``` -docker run -it -h griffin --name griffin_measure_demo -m 8G --memory-swap -1 \ --p 42122:2122 -p 47077:7077 -p 46066:6066 -p 48088:8088 -p 48040:8040 \ --p 43306:3306 -p 49000:9000 -p 48042:8042 -p 48080:8080 -p 47017:27017 \ --p 49083:9083 -p 48998:8998 -p 49200:9200 bhlx3lyx7/griffin_measure_demo:0.0.1 -``` -4. In this docker container, run the prepared demo. -- **accuracy demo**: This demo is batch accuracy, source data is Hive table "demo_src", target data is Hive table "demo_tgt", metrics will be persisted in `hdfs:///griffin/persist/accu` after calculation. - + switch into `job/accu`. - ``` - cd job/accu - ``` - + run the prepared script. - ``` - ./bgwork.sh - ``` - + check job log. - ``` - tail -f accu.log - ``` -- **profiling demo**: This demo is batch profiling, source data is Hive table "demo_src", metrics will be persisted in `hdfs:///griffin/persist/prof` after calculation. - + switch into `job/prof`. - ``` - cd job/prof - ``` - + run the prepared script. - ``` - ./bgwork.sh - ``` - + check job log. - ``` - tail -f prof.log - ``` -5. You can modify the job configuration file `config.json` of the above demos, or create your own data sources, to get more metrics of data. \ No newline at end of file From 745c944b2561e78964018539951e2f6e142a0115 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 6 Mar 2018 15:17:10 +0800 Subject: [PATCH 154/177] chart data timestamp --- ui/angular/src/app/service/chart.service.ts | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/ui/angular/src/app/service/chart.service.ts b/ui/angular/src/app/service/chart.service.ts index d98a0f8d4..1f450963e 100644 --- a/ui/angular/src/app/service/chart.service.ts +++ b/ui/angular/src/app/service/chart.service.ts @@ -57,8 +57,7 @@ export class ChartService { } formatTimeStamp(timestamp) { - var TzOffset = new Date(timestamp).getTimezoneOffset() / 60 - 7; - return timestamp + TzOffset * 60 * 60 * 1000; + return timestamp; } getMetricData(metric) { @@ -355,4 +354,4 @@ export class ChartService { option.series = this.getSeries(metric); return option; } -} \ No newline at end of file +} From ec753233fcfcc1d092a2139eb7c67096c57cb00e Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 6 Mar 2018 18:25:42 +0800 Subject: [PATCH 155/177] add license --- .../measure/process/temp/DataFrameCaches.scala | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala b/measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala index fc5fea38c..58e8a1384 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/temp/DataFrameCaches.scala @@ -1,3 +1,21 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ package org.apache.griffin.measure.process.temp import org.apache.griffin.measure.log.Loggable From ae6677e46445e8eb4a5f855775e2f119bd5be298 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 13 Mar 2018 13:36:27 +0800 Subject: [PATCH 156/177] enable multiple kafka data connector in the same data source --- .../KafkaStreamingDataConnector.scala | 3 + .../data/source/cache/DataSourceCache.scala | 16 ++++-- .../measure/data/source/cache/WithFanIn.scala | 57 +++++++++++++++++++ 3 files changed, 71 insertions(+), 5 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/source/cache/WithFanIn.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala index f973f3f12..7705d566b 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala @@ -42,6 +42,9 @@ trait KafkaStreamingDataConnector extends StreamingDataConnector { } def init(): Unit = { + // register fan in + dataSourceCacheOpt.foreach(_.registerFanIn) + val ds = stream match { case Success(dstream) => dstream case Failure(ex) => throw ex diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index ac67557de..f463dfddd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -29,10 +29,12 @@ import org.apache.griffin.measure.utils.{HdfsUtil, TimeUtil} import org.apache.griffin.measure.utils.ParamUtil._ import org.apache.spark.sql._ +import scala.util.Random + // data source cache process steps // dump phase: save // process phase: read -> process -> update -> finish -> clean old data -trait DataSourceCache extends DataCacheable with Loggable with Serializable { +trait DataSourceCache extends DataCacheable with WithFanIn[Long] with Loggable with Serializable { val sqlContext: SQLContext val param: Map[String, Any] @@ -55,7 +57,8 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { val _ReadyTimeDelay = "ready.time.delay" val _TimeRange = "time.range" - val defFilePath = s"hdfs:///griffin/cache/${dsName}/${index}" + val rdmStr = Random.alphanumeric.take(10).mkString + val defFilePath = s"hdfs:///griffin/cache/${dsName}_${rdmStr}" val defInfoPath = s"${index}" val filePath: String = param.getString(_FilePath, defFilePath) @@ -98,7 +101,7 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { def init(): Unit = {} - // save new cache data only + // save new cache data only, need index for multiple streaming data connectors def saveData(dfOpt: Option[DataFrame], ms: Long): Unit = { if (!readOnly) { dfOpt match { @@ -122,8 +125,11 @@ trait DataSourceCache extends DataCacheable with Loggable with Serializable { } // submit cache time and ready time - submitCacheTime(ms) - submitReadyTime(ms) + if (fanIncrement(ms)) { + submitCacheTime(ms) + submitReadyTime(ms) + } + } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/WithFanIn.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/WithFanIn.scala new file mode 100644 index 000000000..aa5e04d51 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/WithFanIn.scala @@ -0,0 +1,57 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.source.cache + +import java.util.concurrent.atomic.AtomicInteger +import scala.collection.concurrent.{TrieMap, Map => ConcMap} + +trait WithFanIn[T] { + + val totalNum: AtomicInteger = new AtomicInteger(0) + val fanInCountMap: ConcMap[T, Int] = TrieMap[T, Int]() + + def registerFanIn(): Int = { + totalNum.incrementAndGet() + } + + def fanIncrement(key: T): Boolean = { + fanInc(key) + fanInCountMap.get(key) match { + case Some(n) if (n >= totalNum.get) => { + fanInCountMap.remove(key) + true + } + case _ => false + } + } + + private def fanInc(key: T): Unit = { + fanInCountMap.get(key) match { + case Some(n) => { + val suc = fanInCountMap.replace(key, n, n + 1) + if (!suc) fanInc(key) + } + case _ => { + val oldOpt = fanInCountMap.putIfAbsent(key, 1) + if (oldOpt.nonEmpty) fanInc(key) + } + } + } + +} From f811c1e558c10f7e003a267ce7d0e36c09d22e48 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 13 Mar 2018 14:25:02 +0800 Subject: [PATCH 157/177] catch error if any streaming input process goes wrong --- .../KafkaStreamingDataConnector.scala | 30 +++++++++++-------- .../data/source/cache/DataSourceCache.scala | 1 + 2 files changed, 19 insertions(+), 12 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala index 7705d566b..ff6d1c27a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala @@ -51,20 +51,26 @@ trait KafkaStreamingDataConnector extends StreamingDataConnector { } ds.foreachRDD((rdd, time) => { val ms = time.milliseconds - - // coalesce partition number - val prlCount = rdd.sparkContext.defaultParallelism - val ptnCount = rdd.getNumPartitions - val repartitionedRdd = if (prlCount < ptnCount) { - rdd.coalesce(prlCount) - } else rdd - - val dfOpt = transform(repartitionedRdd) - - val preDfOpt = preProcess(dfOpt, ms) + val saveDfOpt = try { + // coalesce partition number + val prlCount = rdd.sparkContext.defaultParallelism + val ptnCount = rdd.getNumPartitions + val repartitionedRdd = if (prlCount < ptnCount) { + rdd.coalesce(prlCount) + } else rdd + + val dfOpt = transform(repartitionedRdd) + + preProcess(dfOpt, ms) + } catch { + case e: Throwable => { + error(s"streaming data connector error: ${e.getMessage}") + None + } + } // save data frame - dataSourceCacheOpt.foreach(_.saveData(preDfOpt, ms)) + dataSourceCacheOpt.foreach(_.saveData(saveDfOpt, ms)) }) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index f463dfddd..272a029ff 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -126,6 +126,7 @@ trait DataSourceCache extends DataCacheable with WithFanIn[Long] with Loggable w // submit cache time and ready time if (fanIncrement(ms)) { + println(s"save data [${ms}] finish") submitCacheTime(ms) submitReadyTime(ms) } From b9ec9e43ae1cfc6fac7216c50ca92883818d89ff Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 13 Mar 2018 17:36:58 +0800 Subject: [PATCH 158/177] distinct comment --- .../rule/trans/DistinctnessRulePlanTrans.scala | 11 +++++++++++ .../resources/_distinctness-batch-griffindsl1.json | 2 +- 2 files changed, 12 insertions(+), 1 deletion(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala index 1ec970bfc..45907611e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala @@ -174,6 +174,17 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], // 7. final duplicate count val finalDupCountTableName = "__finalDupCount" + // dupColName: the duplicate count of duplicated items only occurs in new data, + // which means the distinct one in new data is also duplicate + // accuDupColName: the count of duplicated items accumulated in new data and old data, + // which means the accumulated distinct count in all data + // e.g.: new data [A, A, B, B, C, D], old data [A, A, B, C] + // selfGroupTable will be (A, 1, F), (B, 1, F), (C, 0, T), (D, 0, T) + // joinedTable will be (A, 1, F), (A, 1, F), (B, 1, F), (C, 0, F), (D, 0, T) + // groupTable will be (A, 1, F, 2), (B, 1, F, 1), (C, 0, F, 1), (D, 0, T, 1) + // finalDupCountTable will be (A, F, 2, 3), (B, F, 2, 2), (C, F, 1, 1), (D, T, 0, 0) + // The distinct result of new data only should be: (A, 2), (B, 2), (C, 1), (D, 0), + // which means in new data [A, A, B, B, C, D], [A, A, B, B, C] are all duplicated, only [D] is distinct val finalDupCountSql = { s""" |SELECT ${aliasesClause}, `${InternalColumns.distinct}`, diff --git a/measure/src/test/resources/_distinctness-batch-griffindsl1.json b/measure/src/test/resources/_distinctness-batch-griffindsl1.json index f8aa077f9..4d94d8ef4 100644 --- a/measure/src/test/resources/_distinctness-batch-griffindsl1.json +++ b/measure/src/test/resources/_distinctness-batch-griffindsl1.json @@ -20,7 +20,7 @@ { "dsl.type": "spark-sql", "name": "${this}", - "rule": "select DISTINCT name, age from ${this}" + "rule": "select name, age from ${this}" } ] } From f3fc73d51a1cf2bbddab7bc5f01e8e9c4072a393 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 14 Mar 2018 16:34:06 +0800 Subject: [PATCH 159/177] finish distinctness group by pri --- .../rule/adaptor/InternalColumns.scala | 4 +- .../dsl/analyzer/DistinctnessAnalyzer.scala | 2 +- .../rule/dsl/expr/ClauseExpression.scala | 28 ++- .../griffin/measure/rule/dsl/expr/Expr.scala | 2 +- .../measure/rule/dsl/expr/ExprTag.scala | 23 +++ .../measure/rule/dsl/parser/BasicParser.scala | 10 +- .../rule/dsl/parser/GriffinDslParser.scala | 12 +- .../trans/DistinctnessRulePlanTrans.scala | 162 +++++++++++++----- .../_distinctness-batch-griffindsl2.json | 74 ++++++++ 9 files changed, 264 insertions(+), 53 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ExprTag.scala create mode 100644 measure/src/test/resources/_distinctness-batch-griffindsl2.json diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala index fc6a246f0..fa042889e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/adaptor/InternalColumns.scala @@ -29,5 +29,7 @@ object InternalColumns { val distinct = "__distinct" - val columns = List[String](tmst, metric, record, empty, beginTs, endTs, distinct) + val rowNumber = "__rn" + + val columns = List[String](tmst, metric, record, empty, beginTs, endTs, distinct, rowNumber) } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala index 55e4f3987..af59eb46e 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/analyzer/DistinctnessAnalyzer.scala @@ -37,7 +37,7 @@ case class DistinctnessAnalyzer(expr: DistinctnessClause, sourceName: String) ex val selectionPairs = exprs.zipWithIndex.map { pair => val (pr, idx) = pair val res = pr.preOrderTraverseDepthFirst(Seq[String]())(seqAlias, combAlias) - (pr, res.headOption.getOrElse(genAlias(idx))) + (pr, res.headOption.getOrElse(genAlias(idx)), pr.tag.isEmpty) } if (selectionPairs.isEmpty) { diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala index 340c1e274..679026835 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ClauseExpression.scala @@ -99,7 +99,7 @@ case class GroupbyClause(exprs: Seq[Expr], havingClauseOpt: Option[Expr]) extend } -case class OrderbyItem(expr: Expr, orderOpt: Option[String]) extends Expr { +case class OrderItem(expr: Expr, orderOpt: Option[String]) extends Expr { addChild(expr) def desc: String = { orderOpt match { @@ -109,12 +109,12 @@ case class OrderbyItem(expr: Expr, orderOpt: Option[String]) extends Expr { } def coalesceDesc: String = desc - override def map(func: (Expr) => Expr): OrderbyItem = { - OrderbyItem(func(expr), orderOpt) + override def map(func: (Expr) => Expr): OrderItem = { + OrderItem(func(expr), orderOpt) } } -case class OrderbyClause(items: Seq[OrderbyItem]) extends ClauseExpression { +case class OrderbyClause(items: Seq[OrderItem]) extends ClauseExpression { addChildren(items.map(_.expr)) @@ -128,7 +128,25 @@ case class OrderbyClause(items: Seq[OrderbyItem]) extends ClauseExpression { } override def map(func: (Expr) => Expr): OrderbyClause = { - OrderbyClause(items.map(func(_).asInstanceOf[OrderbyItem])) + OrderbyClause(items.map(func(_).asInstanceOf[OrderItem])) + } +} + +case class SortbyClause(items: Seq[OrderItem]) extends ClauseExpression { + + addChildren(items.map(_.expr)) + + def desc: String = { + val obs = items.map(_.desc).mkString(", ") + s"SORT BY ${obs}" + } + def coalesceDesc: String = { + val obs = items.map(_.desc).mkString(", ") + s"SORT BY ${obs}" + } + + override def map(func: (Expr) => Expr): SortbyClause = { + SortbyClause(items.map(func(_).asInstanceOf[OrderItem])) } } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala index c089e810e..0b653b1d7 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/Expr.scala @@ -18,7 +18,7 @@ under the License. */ package org.apache.griffin.measure.rule.dsl.expr -trait Expr extends TreeNode with Serializable { +trait Expr extends TreeNode with ExprTag with Serializable { def desc: String diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ExprTag.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ExprTag.scala new file mode 100644 index 000000000..2e31bbec8 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/expr/ExprTag.scala @@ -0,0 +1,23 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.rule.dsl.expr + +trait ExprTag { this: Expr => + var tag: String = "" +} diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala index 846770be3..3a0d737d3 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/BasicParser.scala @@ -152,6 +152,7 @@ trait BasicParser extends JavaTokenParsers with Serializable { val WHERE: Parser[String] = """(?i)where\s""".r val GROUP: Parser[String] = """(?i)group\s""".r val ORDER: Parser[String] = """(?i)order\s""".r + val SORT: Parser[String] = """(?i)sort\s""".r val BY: Parser[String] = """(?i)by\s""".r val DESC: Parser[String] = """(?i)desc""".r val ASC: Parser[String] = """(?i)asc""".r @@ -360,12 +361,15 @@ trait BasicParser extends JavaTokenParsers with Serializable { def groupbyClause: Parser[GroupbyClause] = GROUP ~ BY ~ rep1sep(expression, COMMA) ~ opt(havingClause) ^^ { case _ ~ _ ~ cols ~ havingOpt => GroupbyClause(cols, havingOpt) } - def orderbyItem: Parser[OrderbyItem] = expression ~ opt(DESC | ASC) ^^ { - case expr ~ orderOpt => OrderbyItem(expr, orderOpt) + def orderItem: Parser[OrderItem] = expression ~ opt(DESC | ASC) ^^ { + case expr ~ orderOpt => OrderItem(expr, orderOpt) } - def orderbyClause: Parser[OrderbyClause] = ORDER ~ BY ~ rep1sep(orderbyItem, COMMA) ^^ { + def orderbyClause: Parser[OrderbyClause] = ORDER ~ BY ~ rep1sep(orderItem, COMMA) ^^ { case _ ~ _ ~ cols => OrderbyClause(cols) } + def sortbyClause: Parser[SortbyClause] = SORT ~ BY ~ rep1sep(orderItem, COMMA) ^^ { + case _ ~ _ ~ cols => SortbyClause(cols) + } def limitClause: Parser[LimitClause] = LIMIT ~> expression ^^ { LimitClause(_) } /** diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala index b129ead44..d4a037b07 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/dsl/parser/GriffinDslParser.scala @@ -24,6 +24,8 @@ import org.apache.griffin.measure.rule.dsl.expr._ case class GriffinDslParser(dataSourceNames: Seq[String], functionNames: Seq[String] ) extends BasicParser { + import Operator._ + /** * -- profiling clauses -- * = [ ]+ [ ]+ [ ]+ [ ]+ [ ]+ @@ -48,9 +50,15 @@ case class GriffinDslParser(dataSourceNames: Seq[String], functionNames: Seq[Str /** * -- distinctness clauses -- - * = [, ]+ + * = "[" "]" + * = | + * = [, ]+ */ - def distinctnessClause: Parser[DistinctnessClause] = rep1sep(expression, Operator.COMMA) ^^ { + def sqbrExpr: Parser[Expr] = LSQBR ~> expression <~ RSQBR ^^ { + case expr => { expr.tag = "[]"; expr} + } + def distExpr: Parser[Expr] = expression | sqbrExpr + def distinctnessClause: Parser[DistinctnessClause] = rep1sep(distExpr, Operator.COMMA) ^^ { case exprs => DistinctnessClause(exprs) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala index 45907611e..ccdf178d4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/rule/trans/DistinctnessRulePlanTrans.scala @@ -49,6 +49,8 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], val _duplicationArray = "duplication.array" val _withAccumulate = "with.accumulate" + + val _recordEnable = "record.enable" } import DistinctnessKeys._ @@ -81,11 +83,15 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], } val selClause = analyzer.selectionPairs.map { pair => - val (expr, alias) = pair + val (expr, alias, _) = pair s"${expr.desc} AS `${alias}`" }.mkString(", ") - val aliases = analyzer.selectionPairs.map(_._2) - val aliasesClause = aliases.map( a => s"`${a}`" ).mkString(", ") + val distAliases = analyzer.selectionPairs.filter(_._3).map(_._2) + val distAliasesClause = distAliases.map( a => s"`${a}`" ).mkString(", ") + val allAliases = analyzer.selectionPairs.map(_._2) + val allAliasesClause = allAliases.map( a => s"`${a}`" ).mkString(", ") + val groupAliases = analyzer.selectionPairs.filter(!_._3).map(_._2) + val groupAliasesClause = groupAliases.map( a => s"`${a}`" ).mkString(", ") // 1. source alias val sourceAliasTableName = "__sourceAlias" @@ -110,9 +116,9 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], val accuDupColName = details.getStringOrKey(_accu_dup) val selfGroupSql = { s""" - |SELECT ${aliasesClause}, (COUNT(*) - 1) AS `${dupColName}`, + |SELECT ${distAliasesClause}, (COUNT(*) - 1) AS `${dupColName}`, |TRUE AS `${InternalColumns.distinct}` - |FROM `${sourceAliasTableName}` GROUP BY ${aliasesClause} + |FROM `${sourceAliasTableName}` GROUP BY ${distAliasesClause} """.stripMargin } val selfGroupStep = SparkSqlStep(selfGroupTableName, selfGroupSql, emptyMap, true) @@ -141,13 +147,13 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], // 5. join with older data val joinedTableName = "__joined" - val selfSelClause = (aliases :+ dupColName).map { alias => + val selfSelClause = (distAliases :+ dupColName).map { alias => s"`${selfGroupTableName}`.`${alias}`" }.mkString(", ") - val onClause = aliases.map { alias => + val onClause = distAliases.map { alias => s"coalesce(`${selfGroupTableName}`.`${alias}`, '') = coalesce(`${olderAliasTableName}`.`${alias}`, '')" }.mkString(" AND ") - val olderIsNull = aliases.map { alias => + val olderIsNull = distAliases.map { alias => s"`${olderAliasTableName}`.`${alias}` IS NULL" }.mkString(" AND ") val joinedSql = { @@ -164,10 +170,10 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], val moreDupColName = "_more_dup" val groupSql = { s""" - |SELECT ${aliasesClause}, `${dupColName}`, `${InternalColumns.distinct}`, + |SELECT ${distAliasesClause}, `${dupColName}`, `${InternalColumns.distinct}`, |COUNT(*) AS `${moreDupColName}` |FROM `${joinedTableName}` - |GROUP BY ${aliasesClause}, `${dupColName}`, `${InternalColumns.distinct}` + |GROUP BY ${distAliasesClause}, `${dupColName}`, `${InternalColumns.distinct}` """.stripMargin } val groupStep = SparkSqlStep(groupTableName, groupSql, emptyMap) @@ -187,7 +193,7 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], // which means in new data [A, A, B, B, C, D], [A, A, B, B, C] are all duplicated, only [D] is distinct val finalDupCountSql = { s""" - |SELECT ${aliasesClause}, `${InternalColumns.distinct}`, + |SELECT ${distAliasesClause}, `${InternalColumns.distinct}`, |CASE WHEN `${InternalColumns.distinct}` THEN `${dupColName}` |ELSE (`${dupColName}` + 1) END AS `${dupColName}`, |CASE WHEN `${InternalColumns.distinct}` THEN `${dupColName}` @@ -226,36 +232,112 @@ case class DistinctnessRulePlanTrans(dataSourceNames: Seq[String], val duplicationArrayName = details.getString(_duplicationArray, "") val dupRulePlan = if (duplicationArrayName.nonEmpty) { - // 9. duplicate record - val dupRecordTableName = "__dupRecords" - val dupRecordSelClause = procType match { - case StreamingProcessType if (withOlderTable) => s"${aliasesClause}, `${dupColName}`, `${accuDupColName}`" - case _ => s"${aliasesClause}, `${dupColName}`" - } - val dupRecordSql = { - s""" - |SELECT ${dupRecordSelClause} - |FROM `${dupCountTableName}` WHERE `${dupColName}` > 0 - """.stripMargin - } - val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) - val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) - val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, endTmst, mode) - - // 10. duplicate metric - val dupMetricTableName = "__dupMetric" - val numColName = details.getStringOrKey(_num) - val dupMetricSql = { - s""" - |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` - |FROM `${dupRecordTableName}` GROUP BY `${dupColName}` - """.stripMargin - } - val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) - val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) - val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, endTmst, mode) + val recordEnable = details.getBoolean(_recordEnable, false) + if (groupAliases.size > 0) { + // with some group by requirement + // 9. origin data join with distinct information + val informedTableName = "__informed" + val onClause = distAliases.map { alias => + s"coalesce(`${sourceAliasTableName}`.`${alias}`, '') = coalesce(`${dupCountTableName}`.`${alias}`, '')" + }.mkString(" AND ") + val informedSql = { + s""" + |SELECT `${sourceAliasTableName}`.*, + |`${dupCountTableName}`.`${dupColName}` AS `${dupColName}`, + |`${dupCountTableName}`.`${InternalColumns.distinct}` AS `${InternalColumns.distinct}` + |FROM `${sourceAliasTableName}` LEFT JOIN `${dupCountTableName}` + |ON ${onClause} + """.stripMargin + } + val informedStep = SparkSqlStep(informedTableName, informedSql, emptyMap) + + // 10. add row number + val rnTableName = "__rowNumber" + val rnDistClause = distAliasesClause + val rnSortClause = s"SORT BY `${InternalColumns.distinct}`" + val rnSql = { + s""" + |SELECT *, + |ROW_NUMBER() OVER (DISTRIBUTE BY ${rnDistClause} ${rnSortClause}) `${InternalColumns.rowNumber}` + |FROM `${informedTableName}` + """.stripMargin + } + val rnStep = SparkSqlStep(rnTableName, rnSql, emptyMap) - RulePlan(dupRecordStep :: dupMetricStep :: Nil, dupRecordExport :: dupMetricExport :: Nil) + // 11. recognize duplicate items + val dupItemsTableName = "__dupItems" + val dupItemsSql = { + s""" + |SELECT ${allAliasesClause}, `${dupColName}` FROM `${rnTableName}` + |WHERE NOT `${InternalColumns.distinct}` OR `${InternalColumns.rowNumber}` > 1 + """.stripMargin + } + val dupItemsStep = SparkSqlStep(dupItemsTableName, dupItemsSql, emptyMap) + val dupItemsParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val dupItemsExport = genRecordExport(dupItemsParam, dupItemsTableName, dupItemsTableName, endTmst, mode) + + // 12. group by dup Record metric + val groupDupMetricTableName = "__groupDupMetric" + val numColName = details.getStringOrKey(_num) + val groupSelClause = groupAliasesClause + val groupDupMetricSql = { + s""" + |SELECT ${groupSelClause}, `${dupColName}`, COUNT(*) AS `${numColName}` + |FROM `${dupItemsTableName}` GROUP BY ${groupSelClause}, `${dupColName}` + """.stripMargin + } + val groupDupMetricStep = SparkSqlStep(groupDupMetricTableName, groupDupMetricSql, emptyMap) + val groupDupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val groupDupMetricExport = genMetricExport(groupDupMetricParam, duplicationArrayName, groupDupMetricTableName, endTmst, mode) + + val exports = if (recordEnable) { + dupItemsExport :: groupDupMetricExport :: Nil + } else { + groupDupMetricExport :: Nil + } + RulePlan( + informedStep :: rnStep :: dupItemsStep :: groupDupMetricStep :: Nil, + exports + ) + + } else { + // no group by requirement + // 9. duplicate record + val dupRecordTableName = "__dupRecords" + val dupRecordSelClause = procType match { + case StreamingProcessType if (withOlderTable) => s"${distAliasesClause}, `${dupColName}`, `${accuDupColName}`" + case _ => s"${distAliasesClause}, `${dupColName}`" + } + val dupRecordSql = { + s""" + |SELECT ${dupRecordSelClause} + |FROM `${dupCountTableName}` WHERE `${dupColName}` > 0 + """.stripMargin + } + val dupRecordStep = SparkSqlStep(dupRecordTableName, dupRecordSql, emptyMap, true) + val dupRecordParam = RuleParamKeys.getRecordOpt(param).getOrElse(emptyMap) + val dupRecordExport = genRecordExport(dupRecordParam, dupRecordTableName, dupRecordTableName, endTmst, mode) + + // 10. duplicate metric + val dupMetricTableName = "__dupMetric" + val numColName = details.getStringOrKey(_num) + val dupMetricSql = { + s""" + |SELECT `${dupColName}`, COUNT(*) AS `${numColName}` + |FROM `${dupRecordTableName}` GROUP BY `${dupColName}` + """.stripMargin + } + val dupMetricStep = SparkSqlStep(dupMetricTableName, dupMetricSql, emptyMap) + val dupMetricParam = emptyMap.addIfNotExist(ExportParamKeys._collectType, ArrayCollectType.desc) + val dupMetricExport = genMetricExport(dupMetricParam, duplicationArrayName, dupMetricTableName, endTmst, mode) + + val exports = if (recordEnable) { + dupRecordExport :: dupMetricExport :: Nil + } else { + dupMetricExport :: Nil + } + RulePlan(dupRecordStep :: dupMetricStep :: Nil, exports) + } } else emptyRulePlan selfDistRulePlan.merge(distRulePlan).merge(distMetricRulePlan).merge(dupRulePlan) diff --git a/measure/src/test/resources/_distinctness-batch-griffindsl2.json b/measure/src/test/resources/_distinctness-batch-griffindsl2.json new file mode 100644 index 000000000..6a12719ce --- /dev/null +++ b/measure/src/test/resources/_distinctness-batch-griffindsl2.json @@ -0,0 +1,74 @@ +{ + "name": "dist_batch", + + "process.type": "batch", + + "timestamp": 123456, + + "data.sources": [ + { + "name": "source", + "baseline": true, + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/dupdata.avro" + }, + "pre.proc": [ + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select name, age from ${this}" + } + ] + } + ] + }, + { + "name": "target", + "baseline": true, + "connectors": [ + { + "type": "avro", + "version": "1.7", + "config": { + "file.name": "src/test/resources/dupdata.avro" + }, + "pre.proc": [ + { + "dsl.type": "spark-sql", + "name": "${this}", + "rule": "select DISTINCT name, age from ${this}" + } + ] + } + ] + } + ], + + "evaluate.rule": { + "rules": [ + { + "dsl.type": "griffin-dsl", + "dq.type": "distinct", + "name": "dist", + "rule": "name, [age]", + "details": { + "source": "source", + "target": "target", + "total": "total", + "distinct": "distinct", + "dup": "dup", + "num": "num", + "duplication.array": "dup", + "record.enable": true + }, + "metric": { + "name": "distinct" + } + } + ] + } +} \ No newline at end of file From c3cc313cdc1733b13926892138c47ef0027b14e5 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 14 Mar 2018 16:59:32 +0800 Subject: [PATCH 160/177] resource --- .../RheosStreamingDataConnector.scala | 64 +++ .../streaming/kafka/CachedKafkaConsumer.scala | 187 +++++++ .../streaming/kafka/ConsumerStrategy.scala | 474 ++++++++++++++++++ .../kafka/DirectKafkaInputDStream.scala | 310 ++++++++++++ .../spark/streaming/kafka/KafkaRDD.scala | 230 +++++++++ .../streaming/kafka/KafkaRDDPartition.scala | 44 ++ .../streaming/kafka/KafkaTestUtils.scala | 271 ++++++++++ .../spark/streaming/kafka/KafkaUtils.scala | 245 +++++++++ .../streaming/kafka/LocationStrategy.scala | 84 ++++ .../spark/streaming/kafka/OffsetRange.scala | 152 ++++++ .../spark/streaming/kafka/WaltzConstant.scala | 54 ++ .../spark/streaming/kafka/package-info.java | 21 + .../spark/streaming/kafka/package.scala | 23 + 13 files changed, 2159 insertions(+) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/CachedKafkaConsumer.scala create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/ConsumerStrategy.scala create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/DirectKafkaInputDStream.scala create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDD.scala create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDDPartition.scala create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaTestUtils.scala create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/LocationStrategy.scala create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/OffsetRange.scala create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/WaltzConstant.scala create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/package-info.java create mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/package.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala new file mode 100644 index 000000000..c4b94cb74 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala @@ -0,0 +1,64 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.data.connector.streaming + +//import kafka.serializer.Decoder +import io.ebay.rheos.schema.event.RheosEvent +import org.apache.kafka.clients.consumer.ConsumerRecord +import org.apache.spark.streaming.StreamingContext +import org.apache.spark.streaming.dstream.InputDStream + +import scala.util.Try + +abstract class RheosStreamingDataConnector(@transient ssc: StreamingContext, + config: Map[String, Any] + ) extends StreamingDataConnector { +// type KD <: Decoder[K] +// type VD <: Decoder[V] + type K = Array[Byte] + type V = RheosEvent + type OUT = ConsumerRecord[K, V] + + val KafkaConfig = "kafka.config" + val CodecConfig = "codec.config" + val Topics = "topics" + + val kafkaConfig = config.get(KafkaConfig) match { + case Some(map: Map[String, Any]) => map.mapValues(_.toString).map(identity) + case _ => Map[String, String]() + } + val codecConfig = config.get(CodecConfig) match { + case Some(map: Map[String, Any]) => map.mapValues(_.toString).map(identity) + case _ => Map[String, String]() + } + val topics = config.getOrElse(Topics, "").toString + + def available(): Boolean = { + true + } + + def init(): Unit = {} + + def stream(): Try[InputDStream[OUT]] = Try { + val topicSet = topics.split(",").toSet + createDStream(topicSet) + } + + protected def createDStream(topicSet: Set[String]): InputDStream[OUT] +} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/CachedKafkaConsumer.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/CachedKafkaConsumer.scala new file mode 100644 index 000000000..3522bdecf --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/CachedKafkaConsumer.scala @@ -0,0 +1,187 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.streaming.kafka + +import java.{util => ju} + +import org.apache.kafka.clients.consumer.{ConsumerConfig, ConsumerRecord, KafkaConsumer} +import org.apache.kafka.common.{KafkaException, TopicPartition} +import org.apache.spark.Logging + + +/** + * Consumer of single topicpartition, intended for cached reuse. + * Underlying consumer is not threadsafe, so neither is this, + * but processing the same topicpartition and group id in multiple threads is usually bad anyway. + */ +private[kafka] +class CachedKafkaConsumer[K, V] private( + val groupId: String, + val topic: String, + val partition: Int, + val kafkaParams: ju.Map[String, Object]) extends Logging { + + assert(groupId == kafkaParams.get(ConsumerConfig.GROUP_ID_CONFIG), + "groupId used for cache key must match the groupId in kafkaParams") + + val topicPartition = new TopicPartition(topic, partition) + + protected val consumer = { + val c = new KafkaConsumer[K, V](kafkaParams) + val tps = new ju.ArrayList[TopicPartition]() + tps.add(topicPartition) + c.assign(tps) + c + } + + // TODO if the buffer was kept around as a random-access structure, + // could possibly optimize re-calculating of an RDD in the same batch + protected var buffer = ju.Collections.emptyList[ConsumerRecord[K, V]]().iterator + protected var nextOffset = -2L + + def close(): Unit = consumer.close() + + /** + * Get the record for the given offset, waiting up to timeout ms if IO is necessary. + * Sequential forward access will use buffers, but random access will be horribly inefficient. + */ + def get(offset: Long, timeout: Long): ConsumerRecord[K, V] = { + logDebug(s"Get $groupId $topic $partition nextOffset $nextOffset requested $offset") + if (offset != nextOffset) { + logInfo(s"Initial fetch for $groupId $topic $partition $offset") + seek(offset) + poll(timeout) + } + + if (!buffer.hasNext()) { poll(timeout) } + assert(buffer.hasNext(), + s"Failed to get records for $groupId $topic $partition $offset after polling for $timeout") + var record = buffer.next() + + if (record.offset != offset) { + logInfo(s"Buffer miss for $groupId $topic $partition $offset") + seek(offset) + poll(timeout) + assert(buffer.hasNext(), + s"Failed to get records for $groupId $topic $partition $offset after polling for $timeout") + record = buffer.next() + assert(record.offset == offset, + s"Got wrong record for $groupId $topic $partition even after seeking to offset $offset") + } + + nextOffset = offset + 1 + record + } + + private def seek(offset: Long): Unit = { + logDebug(s"Seeking to $topicPartition $offset") + consumer.seek(topicPartition, offset) + } + + private def poll(timeout: Long): Unit = { + val p = consumer.poll(timeout) + val r = p.records(topicPartition) + logDebug(s"Polled ${p.partitions()} ${r.size}") + buffer = r.iterator + } + +} + +private[kafka] +object CachedKafkaConsumer extends Logging { + + private case class CacheKey(groupId: String, topic: String, partition: Int) + + // Don't want to depend on guava, don't want a cleanup thread, use a simple LinkedHashMap + private var cache: ju.LinkedHashMap[CacheKey, CachedKafkaConsumer[_, _]] = null + + /** Must be called before get, once per JVM, to configure the cache. Further calls are ignored */ + def init( + initialCapacity: Int, + maxCapacity: Int, + loadFactor: Float): Unit = CachedKafkaConsumer.synchronized { + if (null == cache) { + logInfo(s"Initializing cache $initialCapacity $maxCapacity $loadFactor") + cache = new ju.LinkedHashMap[CacheKey, CachedKafkaConsumer[_, _]]( + initialCapacity, loadFactor, true) { + override def removeEldestEntry( + entry: ju.Map.Entry[CacheKey, CachedKafkaConsumer[_, _]]): Boolean = { + if (this.size > maxCapacity) { + try { + entry.getValue.consumer.close() + } catch { + case x: KafkaException => + logError("Error closing oldest Kafka consumer", x) + } + true + } else { + false + } + } + } + } + } + + /** + * Get a cached consumer for groupId, assigned to topic and partition. + * If matching consumer doesn't already exist, will be created using kafkaParams. + */ + def get[K, V]( + groupId: String, + topic: String, + partition: Int, + kafkaParams: ju.Map[String, Object]): CachedKafkaConsumer[K, V] = + CachedKafkaConsumer.synchronized { + val k = CacheKey(groupId, topic, partition) + val v = cache.get(k) + if (null == v) { + logInfo(s"Cache miss for $k") + logDebug(cache.keySet.toString) + val c = new CachedKafkaConsumer[K, V](groupId, topic, partition, kafkaParams) + cache.put(k, c) + c + } else { + // any given topicpartition should have a consistent key and value type + v.asInstanceOf[CachedKafkaConsumer[K, V]] + } + } + + /** + * Get a fresh new instance, unassociated with the global cache. + * Caller is responsible for closing + */ + def getUncached[K, V]( + groupId: String, + topic: String, + partition: Int, + kafkaParams: ju.Map[String, Object]): CachedKafkaConsumer[K, V] = + new CachedKafkaConsumer[K, V](groupId, topic, partition, kafkaParams) + + /** remove consumer for given groupId, topic, and partition, if it exists */ + def remove(groupId: String, topic: String, partition: Int): Unit = { + val k = CacheKey(groupId, topic, partition) + logInfo(s"Removing $k from cache") + val v = CachedKafkaConsumer.synchronized { + cache.remove(k) + } + if (null != v) { + v.close() + logInfo(s"Removed $k from cache") + } + } +} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/ConsumerStrategy.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/ConsumerStrategy.scala new file mode 100644 index 000000000..0e242e6a4 --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/ConsumerStrategy.scala @@ -0,0 +1,474 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.streaming.kafka + +import java.{lang => jl, util => ju} + +import org.apache.kafka.clients.consumer._ +import org.apache.kafka.clients.consumer.internals.NoOpConsumerRebalanceListener +import org.apache.kafka.common.TopicPartition +import org.apache.spark.Logging +import org.apache.spark.annotation.Experimental + +import scala.collection.JavaConverters._ + +/** + * :: Experimental :: + * Choice of how to create and configure underlying Kafka Consumers on driver and executors. + * See [[ConsumerStrategies]] to obtain instances. + * Kafka 0.10 consumers can require additional, sometimes complex, setup after object + * instantiation. This interface encapsulates that process, and allows it to be checkpointed. + * @tparam K type of Kafka message key + * @tparam V type of Kafka message value + */ +@Experimental +abstract class ConsumerStrategy[K, V] { + /** + * Kafka + * configuration parameters to be used on executors. Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + */ + def executorKafkaParams: ju.Map[String, Object] + + /** + * Must return a fully configured Kafka Consumer, including subscribed or assigned topics. + * See Kafka docs. + * This consumer will be used on the driver to query for offsets only, not messages. + * The consumer must be returned in a state that it is safe to call poll(0) on. + * @param currentOffsets A map from TopicPartition to offset, indicating how far the driver + * has successfully read. Will be empty on initial start, possibly non-empty on restart from + * checkpoint. + */ + def onStart(currentOffsets: ju.Map[TopicPartition, jl.Long]): Consumer[K, V] +} + +/** + * Subscribe to a collection of topics. + * @param topics collection of topics to subscribe + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsets: offsets to begin at on initial startup. If no offset is given for a + * TopicPartition, the committed offset (if applicable) or kafka param + * auto.offset.reset will be used. + */ +private case class Subscribe[K, V]( + topics: ju.Collection[jl.String], + kafkaParams: ju.Map[String, Object], + offsets: ju.Map[TopicPartition, jl.Long] + ) extends ConsumerStrategy[K, V] with Logging { + + def executorKafkaParams: ju.Map[String, Object] = kafkaParams + + def onStart(currentOffsets: ju.Map[TopicPartition, jl.Long]): Consumer[K, V] = { + val consumer = new KafkaConsumer[K, V](kafkaParams) + consumer.subscribe(topics) + val toSeek = if (currentOffsets.isEmpty) { + offsets + } else { + currentOffsets + } + if (!toSeek.isEmpty) { + // work around KAFKA-3370 when reset is none + // poll will throw if no position, i.e. auto offset reset none and no explicit position + // but cant seek to a position before poll, because poll is what gets subscription partitions + // So, poll, suppress the first exception, then seek + val aor = kafkaParams.get(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG) + val shouldSuppress = aor != null && aor.asInstanceOf[String].toUpperCase == "NONE" + try { + consumer.poll(0) + } catch { + case x: NoOffsetForPartitionException if shouldSuppress => + logWarning("Catching NoOffsetForPartitionException since " + + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG + " is none. See KAFKA-3370") + } + toSeek.asScala.foreach { case (topicPartition, offset) => + consumer.seek(topicPartition, offset) + } + } + + consumer + } +} + +/** + * Subscribe to all topics matching specified pattern to get dynamically assigned partitions. + * The pattern matching will be done periodically against topics existing at the time of check. + * @param pattern pattern to subscribe to + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsets: offsets to begin at on initial startup. If no offset is given for a + * TopicPartition, the committed offset (if applicable) or kafka param + * auto.offset.reset will be used. + */ +private case class SubscribePattern[K, V]( + pattern: ju.regex.Pattern, + kafkaParams: ju.Map[String, Object], + offsets: ju.Map[TopicPartition, jl.Long] + ) extends ConsumerStrategy[K, V] with Logging { + + def executorKafkaParams: ju.Map[String, Object] = kafkaParams + + def onStart(currentOffsets: ju.Map[TopicPartition, jl.Long]): Consumer[K, V] = { + val consumer = new KafkaConsumer[K, V](kafkaParams) + consumer.subscribe(pattern, new NoOpConsumerRebalanceListener()) + val toSeek = if (currentOffsets.isEmpty) { + offsets + } else { + currentOffsets + } + if (!toSeek.isEmpty) { + // work around KAFKA-3370 when reset is none, see explanation in Subscribe above + val aor = kafkaParams.get(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG) + val shouldSuppress = aor != null && aor.asInstanceOf[String].toUpperCase == "NONE" + try { + consumer.poll(0) + } catch { + case x: NoOffsetForPartitionException if shouldSuppress => + logWarning("Catching NoOffsetForPartitionException since " + + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG + " is none. See KAFKA-3370") + } + toSeek.asScala.foreach { case (topicPartition, offset) => + consumer.seek(topicPartition, offset) + } + } + + consumer + } +} + +/** + * Assign a fixed collection of TopicPartitions + * @param topicPartitions collection of TopicPartitions to assign + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsets: offsets to begin at on initial startup. If no offset is given for a + * TopicPartition, the committed offset (if applicable) or kafka param + * auto.offset.reset will be used. + */ +private case class Assign[K, V]( + topicPartitions: ju.Collection[TopicPartition], + kafkaParams: ju.Map[String, Object], + offsets: ju.Map[TopicPartition, jl.Long] + ) extends ConsumerStrategy[K, V] with Logging { + + def executorKafkaParams: ju.Map[String, Object] = kafkaParams + + def onStart(currentOffsets: ju.Map[TopicPartition, jl.Long]): Consumer[K, V] = { + val consumer = new KafkaConsumer[K, V](kafkaParams) + consumer.assign(topicPartitions) + val toSeek = if (currentOffsets.isEmpty) { + offsets + } else { + currentOffsets + } + if (!toSeek.isEmpty) { + // this doesn't need a KAFKA-3370 workaround, because partitions are known, no poll needed + + toSeek.asScala.foreach { case (topicPartition, offset) => + consumer.seek(topicPartition, offset) + } + + } + + consumer + } +} + +/** + * :: Experimental :: + * object for obtaining instances of [[ConsumerStrategy]] + */ +@Experimental +object ConsumerStrategies { + /** + * :: Experimental :: + * Subscribe to a collection of topics. + * @param topics collection of topics to subscribe + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsets: offsets to begin at on initial startup. If no offset is given for a + * TopicPartition, the committed offset (if applicable) or kafka param + * auto.offset.reset will be used. + */ + @Experimental + def Subscribe[K, V]( + topics: Iterable[jl.String], + kafkaParams: collection.Map[String, Object], + offsets: collection.Map[TopicPartition, Long]): ConsumerStrategy[K, V] = { + new Subscribe[K, V]( + new ju.ArrayList(topics.asJavaCollection), + new ju.HashMap[String, Object](kafkaParams.asJava), + new ju.HashMap[TopicPartition, jl.Long](offsets.mapValues(l => new jl.Long(l)).asJava)) + } + + /** + * :: Experimental :: + * Subscribe to a collection of topics. + * @param topics collection of topics to subscribe + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + */ + @Experimental + def Subscribe[K, V]( + topics: Iterable[jl.String], + kafkaParams: collection.Map[String, Object]): ConsumerStrategy[K, V] = { + new Subscribe[K, V]( + new ju.ArrayList(topics.asJavaCollection), + new ju.HashMap[String, Object](kafkaParams.asJava), + ju.Collections.emptyMap[TopicPartition, jl.Long]()) + } + + /** + * :: Experimental :: + * Subscribe to a collection of topics. + * @param topics collection of topics to subscribe + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsets: offsets to begin at on initial startup. If no offset is given for a + * TopicPartition, the committed offset (if applicable) or kafka param + * auto.offset.reset will be used. + */ + @Experimental + def Subscribe[K, V]( + topics: ju.Collection[jl.String], + kafkaParams: ju.Map[String, Object], + offsets: ju.Map[TopicPartition, jl.Long]): ConsumerStrategy[K, V] = { + new Subscribe[K, V](topics, kafkaParams, offsets) + } + + /** + * :: Experimental :: + * Subscribe to a collection of topics. + * @param topics collection of topics to subscribe + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + */ + @Experimental + def Subscribe[K, V]( + topics: ju.Collection[jl.String], + kafkaParams: ju.Map[String, Object]): ConsumerStrategy[K, V] = { + new Subscribe[K, V](topics, kafkaParams, ju.Collections.emptyMap[TopicPartition, jl.Long]()) + } + + /** :: Experimental :: + * Subscribe to all topics matching specified pattern to get dynamically assigned partitions. + * The pattern matching will be done periodically against topics existing at the time of check. + * @param pattern pattern to subscribe to + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsets: offsets to begin at on initial startup. If no offset is given for a + * TopicPartition, the committed offset (if applicable) or kafka param + * auto.offset.reset will be used. + */ + @Experimental + def SubscribePattern[K, V]( + pattern: ju.regex.Pattern, + kafkaParams: collection.Map[String, Object], + offsets: collection.Map[TopicPartition, Long]): ConsumerStrategy[K, V] = { + new SubscribePattern[K, V]( + pattern, + new ju.HashMap[String, Object](kafkaParams.asJava), + new ju.HashMap[TopicPartition, jl.Long](offsets.mapValues(l => new jl.Long(l)).asJava)) + } + + /** :: Experimental :: + * Subscribe to all topics matching specified pattern to get dynamically assigned partitions. + * The pattern matching will be done periodically against topics existing at the time of check. + * @param pattern pattern to subscribe to + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + */ + @Experimental + def SubscribePattern[K, V]( + pattern: ju.regex.Pattern, + kafkaParams: collection.Map[String, Object]): ConsumerStrategy[K, V] = { + new SubscribePattern[K, V]( + pattern, + new ju.HashMap[String, Object](kafkaParams.asJava), + ju.Collections.emptyMap[TopicPartition, jl.Long]()) + } + + /** :: Experimental :: + * Subscribe to all topics matching specified pattern to get dynamically assigned partitions. + * The pattern matching will be done periodically against topics existing at the time of check. + * @param pattern pattern to subscribe to + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsets: offsets to begin at on initial startup. If no offset is given for a + * TopicPartition, the committed offset (if applicable) or kafka param + * auto.offset.reset will be used. + */ + @Experimental + def SubscribePattern[K, V]( + pattern: ju.regex.Pattern, + kafkaParams: ju.Map[String, Object], + offsets: ju.Map[TopicPartition, jl.Long]): ConsumerStrategy[K, V] = { + new SubscribePattern[K, V](pattern, kafkaParams, offsets) + } + + /** :: Experimental :: + * Subscribe to all topics matching specified pattern to get dynamically assigned partitions. + * The pattern matching will be done periodically against topics existing at the time of check. + * @param pattern pattern to subscribe to + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + */ + @Experimental + def SubscribePattern[K, V]( + pattern: ju.regex.Pattern, + kafkaParams: ju.Map[String, Object]): ConsumerStrategy[K, V] = { + new SubscribePattern[K, V]( + pattern, + kafkaParams, + ju.Collections.emptyMap[TopicPartition, jl.Long]()) + } + + /** + * :: Experimental :: + * Assign a fixed collection of TopicPartitions + * @param topicPartitions collection of TopicPartitions to assign + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsets: offsets to begin at on initial startup. If no offset is given for a + * TopicPartition, the committed offset (if applicable) or kafka param + * auto.offset.reset will be used. + */ + @Experimental + def Assign[K, V]( + topicPartitions: Iterable[TopicPartition], + kafkaParams: collection.Map[String, Object], + offsets: collection.Map[TopicPartition, Long]): ConsumerStrategy[K, V] = { + new Assign[K, V]( + new ju.ArrayList(topicPartitions.asJavaCollection), + new ju.HashMap[String, Object](kafkaParams.asJava), + new ju.HashMap[TopicPartition, jl.Long](offsets.mapValues(l => new jl.Long(l)).asJava)) + } + + /** + * :: Experimental :: + * Assign a fixed collection of TopicPartitions + * @param topicPartitions collection of TopicPartitions to assign + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + */ + @Experimental + def Assign[K, V]( + topicPartitions: Iterable[TopicPartition], + kafkaParams: collection.Map[String, Object]): ConsumerStrategy[K, V] = { + new Assign[K, V]( + new ju.ArrayList(topicPartitions.asJavaCollection), + new ju.HashMap[String, Object](kafkaParams.asJava), + ju.Collections.emptyMap[TopicPartition, jl.Long]()) + } + + /** + * :: Experimental :: + * Assign a fixed collection of TopicPartitions + * @param topicPartitions collection of TopicPartitions to assign + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsets: offsets to begin at on initial startup. If no offset is given for a + * TopicPartition, the committed offset (if applicable) or kafka param + * auto.offset.reset will be used. + */ + @Experimental + def Assign[K, V]( + topicPartitions: ju.Collection[TopicPartition], + kafkaParams: ju.Map[String, Object], + offsets: ju.Map[TopicPartition, jl.Long]): ConsumerStrategy[K, V] = { + new Assign[K, V](topicPartitions, kafkaParams, offsets) + } + + /** + * :: Experimental :: + * Assign a fixed collection of TopicPartitions + * @param topicPartitions collection of TopicPartitions to assign + * @param kafkaParams Kafka + * + * configuration parameters to be used on driver. The same params will be used on executors, + * with minor automatic modifications applied. + * Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + */ + @Experimental + def Assign[K, V]( + topicPartitions: ju.Collection[TopicPartition], + kafkaParams: ju.Map[String, Object]): ConsumerStrategy[K, V] = { + new Assign[K, V]( + topicPartitions, + kafkaParams, + ju.Collections.emptyMap[TopicPartition, jl.Long]()) + } + +} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/DirectKafkaInputDStream.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/DirectKafkaInputDStream.scala new file mode 100644 index 000000000..9807ad4f7 --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/DirectKafkaInputDStream.scala @@ -0,0 +1,310 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.streaming.kafka + +import java.util.concurrent.ConcurrentLinkedQueue +import java.util.concurrent.atomic.AtomicReference +import java.{util => ju} + +import org.apache.kafka.clients.consumer._ +import org.apache.kafka.common.TopicPartition +import org.apache.spark.Logging +import org.apache.spark.storage.StorageLevel +import org.apache.spark.streaming.dstream._ +import org.apache.spark.streaming.scheduler.rate.RateEstimator +import org.apache.spark.streaming.scheduler.{RateController, StreamInputInfo} +import org.apache.spark.streaming.{StreamingContext, Time} + +import scala.collection.JavaConverters._ +import scala.collection.mutable + +/** + * A DStream where + * each given Kafka topic/partition corresponds to an RDD partition. + * The spark configuration spark.streaming.kafka.maxRatePerPartition gives the maximum number + * of messages + * per second that each '''partition''' will accept. + * @param locationStrategy In most cases, pass in [[PreferConsistent]], + * see [[LocationStrategy]] for more details. + * @param consumerStrategy In most cases, pass in [[Subscribe]], + * see [[ConsumerStrategy]] for more details + * @tparam K type of Kafka message key + * @tparam V type of Kafka message value + */ +class DirectKafkaInputDStream[K, V]( + _ssc: StreamingContext, + locationStrategy: LocationStrategy, + consumerStrategy: ConsumerStrategy[K, V] + ) extends InputDStream[ConsumerRecord[K, V]](_ssc) with Logging with CanCommitOffsets { + + val executorKafkaParams = { + val ekp = new ju.HashMap[String, Object](consumerStrategy.executorKafkaParams) + KafkaUtils.fixKafkaParams(ekp) + ekp + } + + protected var currentOffsets = Map[TopicPartition, Long]() + + @transient private var kc: Consumer[K, V] = null + def consumer(): Consumer[K, V] = this.synchronized { + if (null == kc) { + kc = consumerStrategy.onStart(currentOffsets.mapValues(l => new java.lang.Long(l)).asJava) + } + kc + } + + override def persist(newLevel: StorageLevel): DStream[ConsumerRecord[K, V]] = { + logError("Kafka ConsumerRecord is not serializable. " + + "Use .map to extract fields before calling .persist or .window") + super.persist(newLevel) + } + + protected def getBrokers = { + val c = consumer + val result = new ju.HashMap[TopicPartition, String]() + val hosts = new ju.HashMap[TopicPartition, String]() + val assignments = c.assignment().iterator() + while (assignments.hasNext()) { + val tp: TopicPartition = assignments.next() + if (null == hosts.get(tp)) { + val infos = c.partitionsFor(tp.topic).iterator() + while (infos.hasNext()) { + val i = infos.next() + hosts.put(new TopicPartition(i.topic(), i.partition()), i.leader.host()) + } + } + result.put(tp, hosts.get(tp)) + } + result + } + + protected def getPreferredHosts: ju.Map[TopicPartition, String] = { + locationStrategy match { + case PreferBrokers => getBrokers + case PreferConsistent => ju.Collections.emptyMap[TopicPartition, String]() + case PreferFixed(hostMap) => hostMap + } + } + + // Keep this consistent with how other streams are named (e.g. "Flume polling stream [2]") + private[streaming] override def name: String = s"Kafka 0.10 direct stream [$id]" + + protected[streaming] override val checkpointData = + new DirectKafkaInputDStreamCheckpointData + + + /** + * Asynchronously maintains & sends new rate limits to the receiver through the receiver tracker. + */ + override protected[streaming] val rateController: Option[RateController] = { + if (RateController.isBackPressureEnabled(ssc.conf)) { + Some(new DirectKafkaRateController(id, + RateEstimator.create(ssc.conf, context.graph.batchDuration))) + } else { + None + } + } + + private val maxRateLimitPerPartition: Int = context.sparkContext.getConf.getInt( + "spark.streaming.kafka.maxRatePerPartition", 0) + + protected[streaming] def maxMessagesPerPartition( + offsets: Map[TopicPartition, Long]): Option[Map[TopicPartition, Long]] = { + val estimatedRateLimit = rateController.map(_.getLatestRate().toInt) + + // calculate a per-partition rate limit based on current lag + val effectiveRateLimitPerPartition = estimatedRateLimit.filter(_ > 0) match { + case Some(rate) => + val lagPerPartition = offsets.map { case (tp, offset) => + tp -> Math.max(offset - currentOffsets(tp), 0) + } + val totalLag = lagPerPartition.values.sum + + lagPerPartition.map { case (tp, lag) => + val backpressureRate = Math.round(lag / totalLag.toFloat * rate) + tp -> (if (maxRateLimitPerPartition > 0) { + Math.min(backpressureRate, maxRateLimitPerPartition)} else backpressureRate) + } + case None => offsets.map { case (tp, offset) => tp -> maxRateLimitPerPartition } + } + + if (effectiveRateLimitPerPartition.values.sum > 0) { + val secsPerBatch = context.graph.batchDuration.milliseconds.toDouble / 1000 + Some(effectiveRateLimitPerPartition.map { + case (tp, limit) => tp -> (secsPerBatch * limit).toLong + }) + } else { + None + } + } + + /** + * Returns the latest (highest) available offsets, taking new partitions into account. + */ + protected def latestOffsets(): Map[TopicPartition, Long] = { + val c = consumer + c.poll(0) + val parts = c.assignment().asScala + + // make sure new partitions are reflected in currentOffsets + val newPartitions = parts.diff(currentOffsets.keySet) + // position for new partitions determined by auto.offset.reset if no commit + currentOffsets = currentOffsets ++ newPartitions.map(tp => tp -> c.position(tp)).toMap + // don't want to consume messages, so pause + c.pause(newPartitions.asJava) + // find latest available offsets + c.seekToEnd(currentOffsets.keySet.asJava) + parts.map(tp => tp -> c.position(tp)).toMap + } + + // limits the maximum number of messages per partition + protected def clamp( + offsets: Map[TopicPartition, Long]): Map[TopicPartition, Long] = { + + maxMessagesPerPartition(offsets).map { mmp => + mmp.map { case (tp, messages) => + val uo = offsets(tp) + tp -> Math.min(currentOffsets(tp) + messages, uo) + } + }.getOrElse(offsets) + } + + override def compute(validTime: Time): Option[KafkaRDD[K, V]] = { + val untilOffsets = clamp(latestOffsets()) + val offsetRanges = untilOffsets.map { case (tp, uo) => + val fo = currentOffsets(tp) + OffsetRange(tp.topic, tp.partition, fo, uo) + } + val rdd = new KafkaRDD[K, V]( + context.sparkContext, executorKafkaParams, offsetRanges.toArray, getPreferredHosts, true) + + // Report the record number and metadata of this batch interval to InputInfoTracker. + val description = offsetRanges.filter { offsetRange => + // Don't display empty ranges. + offsetRange.fromOffset != offsetRange.untilOffset + }.map { offsetRange => + s"topic: ${offsetRange.topic}\tpartition: ${offsetRange.partition}\t" + + s"offsets: ${offsetRange.fromOffset} to ${offsetRange.untilOffset}" + }.mkString("\n") + // Copy offsetRanges to immutable.List to prevent from being modified by the user + val metadata = Map( + "offsets" -> offsetRanges.toList, + StreamInputInfo.METADATA_KEY_DESCRIPTION -> description) + val inputInfo = StreamInputInfo(id, rdd.count, metadata) + ssc.scheduler.inputInfoTracker.reportInfo(validTime, inputInfo) + + currentOffsets = untilOffsets + commitAll() + Some(rdd) + } + + override def start(): Unit = { + val c = consumer + c.poll(0) + if (currentOffsets.isEmpty) { + currentOffsets = c.assignment().asScala.map { tp => + tp -> c.position(tp) + }.toMap + } + + // don't actually want to consume any messages, so pause all partitions + c.pause(currentOffsets.keySet.asJava) + } + + override def stop(): Unit = this.synchronized { + if (kc != null) { + kc.close() + } + } + + protected val commitQueue = new ConcurrentLinkedQueue[OffsetRange] + protected val commitCallback = new AtomicReference[OffsetCommitCallback] + + /** + * Queue up offset ranges for commit to Kafka at a future time. Threadsafe. + * @param offsetRanges The maximum untilOffset for a given partition will be used at commit. + */ + def commitAsync(offsetRanges: Array[OffsetRange]): Unit = { + commitAsync(offsetRanges, null) + } + + /** + * Queue up offset ranges for commit to Kafka at a future time. Threadsafe. + * @param offsetRanges The maximum untilOffset for a given partition will be used at commit. + * @param callback Only the most recently provided callback will be used at commit. + */ + def commitAsync(offsetRanges: Array[OffsetRange], callback: OffsetCommitCallback): Unit = { + commitCallback.set(callback) + commitQueue.addAll(ju.Arrays.asList(offsetRanges: _*)) + } + + protected def commitAll(): Unit = { + val m = new ju.HashMap[TopicPartition, OffsetAndMetadata]() + val it = commitQueue.iterator() + while (it.hasNext) { + val osr = it.next + val tp = osr.topicPartition + val x = m.get(tp) + val offset = if (null == x) { osr.untilOffset } else { Math.max(x.offset, osr.untilOffset) } + m.put(tp, new OffsetAndMetadata(offset)) + } + if (!m.isEmpty) { + consumer.commitAsync(m, commitCallback.get) + } + } + + private[streaming] + class DirectKafkaInputDStreamCheckpointData extends DStreamCheckpointData(this) { + def batchForTime: mutable.HashMap[Time, Array[(String, Int, Long, Long)]] = { + data.asInstanceOf[mutable.HashMap[Time, Array[OffsetRange.OffsetRangeTuple]]] + } + + override def update(time: Time): Unit = { + batchForTime.clear() + generatedRDDs.foreach { kv => + val a = kv._2.asInstanceOf[KafkaRDD[K, V]].offsetRanges.map(_.toTuple).toArray + batchForTime += kv._1 -> a + } + } + + override def cleanup(time: Time): Unit = { } + + override def restore(): Unit = { + batchForTime.toSeq.sortBy(_._1)(Time.ordering).foreach { case (t, b) => + logInfo(s"Restoring KafkaRDD for time $t ${b.mkString("[", ", ", "]")}") + generatedRDDs += t -> new KafkaRDD[K, V]( + context.sparkContext, + executorKafkaParams, + b.map(OffsetRange(_)), + getPreferredHosts, + // during restore, it's possible same partition will be consumed from multiple + // threads, so dont use cache + false + ) + } + } + } + + /** + * A RateController to retrieve the rate from RateEstimator. + */ + private[streaming] class DirectKafkaRateController(id: Int, estimator: RateEstimator) + extends RateController(id, estimator) { + override def publish(rate: Long): Unit = () + } +} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDD.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDD.scala new file mode 100644 index 000000000..ed6fbe0d5 --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDD.scala @@ -0,0 +1,230 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.streaming.kafka + +import java.{util => ju} + +import org.apache.kafka.clients.consumer.{ConsumerConfig, ConsumerRecord} +import org.apache.kafka.common.TopicPartition +import org.apache.spark.partial.{BoundedDouble, PartialResult} +import org.apache.spark.rdd.RDD +import org.apache.spark.scheduler.ExecutorCacheTaskLocation +import org.apache.spark.storage.StorageLevel +import org.apache.spark.{Logging, Partition, SparkContext, TaskContext} + +import scala.collection.mutable.ArrayBuffer + +/** + * A batch-oriented interface for consuming from Kafka. + * Starting and ending offsets are specified in advance, + * so that you can control exactly-once semantics. + * @param kafkaParams Kafka + * + * configuration parameters. Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsetRanges offset ranges that define the Kafka data belonging to this RDD + * @param preferredHosts map from TopicPartition to preferred host for processing that partition. + * In most cases, use [[DirectKafkaInputDStream.preferConsistent]] + * Use [[DirectKafkaInputDStream.preferBrokers]] if your executors are on same nodes as brokers. + * @param useConsumerCache whether to use a consumer from a per-jvm cache + * @tparam K type of Kafka message key + * @tparam V type of Kafka message value + */ +private[spark] class KafkaRDD[K, V]( + sc: SparkContext, + val kafkaParams: ju.Map[String, Object], + val offsetRanges: Array[OffsetRange], + val preferredHosts: ju.Map[TopicPartition, String], + useConsumerCache: Boolean +) extends RDD[ConsumerRecord[K, V]](sc, Nil) with Logging with HasOffsetRanges { + + /* assert("none" == + kafkaParams.get(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG).asInstanceOf[String], + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG + + " must be set to none for executor kafka params, else messages may not match offsetRange") */ + + assert(false == + kafkaParams.get(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG).asInstanceOf[Boolean], + ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG + + " must be set to false for executor kafka params, else offsets may commit before processing") + + // TODO is it necessary to have separate configs for initial poll time vs ongoing poll time? + private val pollTimeout = conf.getLong("spark.streaming.kafka.consumer.poll.ms", 51200) + private val cacheInitialCapacity = + conf.getInt("spark.streaming.kafka.consumer.cache.initialCapacity", 16) + private val cacheMaxCapacity = + conf.getInt("spark.streaming.kafka.consumer.cache.maxCapacity", 64) + private val cacheLoadFactor = + conf.getDouble("spark.streaming.kafka.consumer.cache.loadFactor", 0.75).toFloat + + override def persist(newLevel: StorageLevel): this.type = { + logError("Kafka ConsumerRecord is not serializable. " + + "Use .map to extract fields before calling .persist or .window") + super.persist(newLevel) + } + + override def getPartitions: Array[Partition] = { + offsetRanges.zipWithIndex.map { case (o, i) => + new KafkaRDDPartition(i, o.topic, o.partition, o.fromOffset, o.untilOffset) + }.toArray + } + + override def count(): Long = offsetRanges.map(_.count).sum + + override def countApprox( + timeout: Long, + confidence: Double = 0.95 + ): PartialResult[BoundedDouble] = { + val c = count + new PartialResult(new BoundedDouble(c, 1.0, c, c), true) + } + + override def isEmpty(): Boolean = count == 0L + + override def take(num: Int): Array[ConsumerRecord[K, V]] = { + val nonEmptyPartitions = this.partitions + .map(_.asInstanceOf[KafkaRDDPartition]) + .filter(_.count > 0) + + if (num < 1 || nonEmptyPartitions.isEmpty) { + return new Array[ConsumerRecord[K, V]](0) + } + + // Determine in advance how many messages need to be taken from each partition + val parts = nonEmptyPartitions.foldLeft(Map[Int, Int]()) { (result, part) => + val remain = num - result.values.sum + if (remain > 0) { + val taken = Math.min(remain, part.count) + result + (part.index -> taken.toInt) + } else { + result + } + } + + val buf = new ArrayBuffer[ConsumerRecord[K, V]] + val res = context.runJob( + this, + (tc: TaskContext, it: Iterator[ConsumerRecord[K, V]]) => + it.take(parts(tc.partitionId)).toArray, parts.keys.toArray + ) + res.foreach(buf ++= _) + buf.toArray + } + + private def executors(): Array[ExecutorCacheTaskLocation] = { + val bm = sparkContext.env.blockManager + bm.master.getPeers(bm.blockManagerId).toArray + .map(x => ExecutorCacheTaskLocation(x.host, x.executorId)) + .sortWith(compareExecutors) + } + + protected[kafka] def compareExecutors( + a: ExecutorCacheTaskLocation, + b: ExecutorCacheTaskLocation): Boolean = + if (a.host == b.host) { + a.executorId > b.executorId + } else { + a.host > b.host + } + + /** + * Non-negative modulus, from java 8 math + */ + private def floorMod(a: Int, b: Int): Int = ((a % b) + b) % b + + override def getPreferredLocations(thePart: Partition): Seq[String] = { + // The intention is best-effort consistent executor for a given topicpartition, + // so that caching consumers can be effective. + // TODO what about hosts specified by ip vs name + val part = thePart.asInstanceOf[KafkaRDDPartition] + val allExecs = executors() + val tp = part.topicPartition + val prefHost = preferredHosts.get(tp) + val prefExecs = if (null == prefHost) allExecs else allExecs.filter(_.host == prefHost) + val execs = if (prefExecs.isEmpty) allExecs else prefExecs + if (execs.isEmpty) { + Seq() + } else { + // execs is sorted, tp.hashCode depends only on topic and partition, so consistent index + val index = this.floorMod(tp.hashCode, execs.length) + val chosen = execs(index) + Seq(chosen.toString) + } + } + + private def errBeginAfterEnd(part: KafkaRDDPartition): String = + s"Beginning offset ${part.fromOffset} is after the ending offset ${part.untilOffset} " + + s"for topic ${part.topic} partition ${part.partition}. " + + "You either provided an invalid fromOffset, or the Kafka topic has been damaged" + + override def compute(thePart: Partition, context: TaskContext): Iterator[ConsumerRecord[K, V]] = { + val part = thePart.asInstanceOf[KafkaRDDPartition] + assert(part.fromOffset <= part.untilOffset, errBeginAfterEnd(part)) + if (part.fromOffset == part.untilOffset) { + logInfo(s"Beginning offset ${part.fromOffset} is the same as ending offset " + + s"skipping ${part.topic} ${part.partition}") + Iterator.empty + } else { + new KafkaRDDIterator(part, context) + } + } + + /** + * An iterator that fetches messages directly from Kafka for the offsets in partition. + * Uses a cached consumer where possible to take advantage of prefetching + */ + private class KafkaRDDIterator( + part: KafkaRDDPartition, + context: TaskContext) extends Iterator[ConsumerRecord[K, V]] { + + logInfo(s"Computing topic ${part.topic}, partition ${part.partition} " + + s"offsets ${part.fromOffset} -> ${part.untilOffset}") + + val groupId = kafkaParams.get(ConsumerConfig.GROUP_ID_CONFIG).asInstanceOf[String] + + context.addTaskCompletionListener{ context => closeIfNeeded() } + + val consumer = if (useConsumerCache) { + CachedKafkaConsumer.init(cacheInitialCapacity, cacheMaxCapacity, cacheLoadFactor) + if (context.attemptNumber > 1) { + // just in case the prior attempt failures were cache related + CachedKafkaConsumer.remove(groupId, part.topic, part.partition) + } + CachedKafkaConsumer.get[K, V](groupId, part.topic, part.partition, kafkaParams) + } else { + CachedKafkaConsumer.getUncached[K, V](groupId, part.topic, part.partition, kafkaParams) + } + + var requestOffset = part.fromOffset + + def closeIfNeeded(): Unit = { + if (!useConsumerCache && consumer != null) { + consumer.close + } + } + + override def hasNext(): Boolean = requestOffset < part.untilOffset + + override def next(): ConsumerRecord[K, V] = { + assert(hasNext(), "Can't call getNext() once untilOffset has been reached") + val r = consumer.get(requestOffset, pollTimeout) + requestOffset += 1 + r + } + } +} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDDPartition.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDDPartition.scala new file mode 100644 index 000000000..b444d2e35 --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDDPartition.scala @@ -0,0 +1,44 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.streaming.kafka + +import org.apache.kafka.common.TopicPartition +import org.apache.spark.Partition + + +/** + * @param topic kafka topic name + * @param partition kafka partition id + * @param fromOffset inclusive starting offset + * @param untilOffset exclusive ending offset + */ +private[kafka] +class KafkaRDDPartition( + val index: Int, + val topic: String, + val partition: Int, + val fromOffset: Long, + val untilOffset: Long +) extends Partition { + /** Number of messages this partition refers to */ + def count(): Long = untilOffset - fromOffset + + /** Kafka TopicPartition object, for convenience */ + def topicPartition(): TopicPartition = new TopicPartition(topic, partition) + +} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaTestUtils.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaTestUtils.scala new file mode 100644 index 000000000..832e221e8 --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaTestUtils.scala @@ -0,0 +1,271 @@ +///* +// * Licensed to the Apache Software Foundation (ASF) under one or more +// * contributor license agreements. See the NOTICE file distributed with +// * this work for additional information regarding copyright ownership. +// * The ASF licenses this file to You under the Apache License, Version 2.0 +// * (the "License"); you may not use this file except in compliance with +// * the License. You may obtain a copy of the License at +// * +// * http://www.apache.org/licenses/LICENSE-2.0 +// * +// * Unless required by applicable law or agreed to in writing, software +// * distributed under the License is distributed on an "AS IS" BASIS, +// * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// * See the License for the specific language governing permissions and +// * limitations under the License. +// */ +// +//package org.apache.spark.streaming.kafka +// +//import java.io.File +//import java.lang.{Integer => JInt} +//import java.net.InetSocketAddress +//import java.util.concurrent.TimeoutException +//import java.util.{Properties, Map => JMap} +// +//import org.apache.spark.{Logging, SparkConf} +//import org.apache.spark.streaming.Time +//import org.apache.spark.util.Utils +//import org.apache.zookeeper.server.{NIOServerCnxnFactory, ZooKeeperServer} +// +//import scala.annotation.tailrec +//import scala.collection.JavaConverters._ +//import scala.language.postfixOps +//import scala.util.control.NonFatal +//import kafka.utils.ZkUtils +// +///** +// * This is a helper class for Kafka test suites. This has the functionality to set up +// * and tear down local Kafka servers, and to push data using Kafka producers. +// * +// * The reason to put Kafka test utility class in src is to test Python related Kafka APIs. +// */ +//private[kafka] class KafkaTestUtils extends Logging { +// +// // Zookeeper related configurations +// private val zkHost = "localhost" +// private var zkPort: Int = 0 +// private val zkConnectionTimeout = 60000 +// private val zkSessionTimeout = 6000 +// +// private var zookeeper: EmbeddedZookeeper = _ +// +// private var zkUtils: ZkUtils = _ +// +// // Kafka broker related configurations +// private val brokerHost = "localhost" +// private var brokerPort = 0 +// private var brokerConf: KafkaConfig = _ +// +// // Kafka broker server +// private var server: KafkaServer = _ +// +// // Kafka producer +// private var producer: Producer[String, String] = _ +// +// // Flag to test whether the system is correctly started +// private var zkReady = false +// private var brokerReady = false +// +// def zkAddress: String = { +// assert(zkReady, "Zookeeper not setup yet or already torn down, cannot get zookeeper address") +// s"$zkHost:$zkPort" +// } +// +// def brokerAddress: String = { +// assert(brokerReady, "Kafka not setup yet or already torn down, cannot get broker address") +// s"$brokerHost:$brokerPort" +// } +// +// def zookeeperClient: ZkUtils = { +// assert(zkReady, "Zookeeper not setup yet or already torn down, cannot get zookeeper client") +// Option(zkUtils).getOrElse( +// throw new IllegalStateException("Zookeeper client is not yet initialized")) +// } +// +// // Set up the Embedded Zookeeper server and get the proper Zookeeper port +// private def setupEmbeddedZookeeper(): Unit = { +// // Zookeeper server startup +// zookeeper = new EmbeddedZookeeper(s"$zkHost:$zkPort") +// // Get the actual zookeeper binding port +// zkPort = zookeeper.actualPort +// zkUtils = ZkUtils(s"$zkHost:$zkPort", zkSessionTimeout, zkConnectionTimeout, false) +// zkReady = true +// } +// +// // Set up the Embedded Kafka server +// private def setupEmbeddedKafkaServer(): Unit = { +// assert(zkReady, "Zookeeper should be set up beforehand") +// +// // Kafka broker startup +// Utils.startServiceOnPort(brokerPort, port => { +// brokerPort = port +// brokerConf = new KafkaConfig(brokerConfiguration, doLog = false) +// server = new KafkaServer(brokerConf) +// server.startup() +// brokerPort = server.boundPort() +// (server, brokerPort) +// }, new SparkConf(), "KafkaBroker") +// +// brokerReady = true +// } +// +// /** setup the whole embedded servers, including Zookeeper and Kafka brokers */ +// def setup(): Unit = { +// setupEmbeddedZookeeper() +// setupEmbeddedKafkaServer() +// } +// +// /** Teardown the whole servers, including Kafka broker and Zookeeper */ +// def teardown(): Unit = { +// brokerReady = false +// zkReady = false +// +// if (producer != null) { +// producer.close() +// producer = null +// } +// +// if (server != null) { +// server.shutdown() +// server = null +// } +// +// brokerConf.logDirs.foreach { f => Utils.deleteRecursively(new File(f)) } +// +// if (zkUtils != null) { +// zkUtils.close() +// zkUtils = null +// } +// +// if (zookeeper != null) { +// zookeeper.shutdown() +// zookeeper = null +// } +// } +// +// /** Create a Kafka topic and wait until it is propagated to the whole cluster */ +// def createTopic(topic: String, partitions: Int): Unit = { +// AdminUtils.createTopic(zkUtils, topic, partitions, 1) +// // wait until metadata is propagated +// (0 until partitions).foreach { p => +// waitUntilMetadataIsPropagated(topic, p) +// } +// } +// +// /** Create a Kafka topic and wait until it is propagated to the whole cluster */ +// def createTopic(topic: String): Unit = { +// createTopic(topic, 1) +// } +// +// /** Java-friendly function for sending messages to the Kafka broker */ +// def sendMessages(topic: String, messageToFreq: JMap[String, JInt]): Unit = { +// sendMessages(topic, Map(messageToFreq.asScala.mapValues(_.intValue()).toSeq: _*)) +// } +// +// /** Send the messages to the Kafka broker */ +// def sendMessages(topic: String, messageToFreq: Map[String, Int]): Unit = { +// val messages = messageToFreq.flatMap { case (s, freq) => Seq.fill(freq)(s) }.toArray +// sendMessages(topic, messages) +// } +// +// /** Send the array of messages to the Kafka broker */ +// def sendMessages(topic: String, messages: Array[String]): Unit = { +// producer = new Producer[String, String](new ProducerConfig(producerConfiguration)) +// producer.send(messages.map { new KeyedMessage[String, String](topic, _ ) }: _*) +// producer.close() +// producer = null +// } +// +// private def brokerConfiguration: Properties = { +// val props = new Properties() +// props.put("broker.id", "0") +// props.put("host.name", "localhost") +// props.put("port", brokerPort.toString) +// props.put("log.dir", Utils.createTempDir().getAbsolutePath) +// props.put("zookeeper.connect", zkAddress) +// props.put("log.flush.interval.messages", "1") +// props.put("replica.socket.timeout.ms", "1500") +// props +// } +// +// private def producerConfiguration: Properties = { +// val props = new Properties() +// props.put("metadata.broker.list", brokerAddress) +// props.put("serializer.class", classOf[StringEncoder].getName) +// // wait for all in-sync replicas to ack sends +// props.put("request.required.acks", "-1") +// props +// } +// +// // A simplified version of scalatest eventually, rewritten here to avoid adding extra test +// // dependency +// def eventually[T](timeout: Time, interval: Time)(func: => T): T = { +// def makeAttempt(): Either[Throwable, T] = { +// try { +// Right(func) +// } catch { +// case e if NonFatal(e) => Left(e) +// } +// } +// +// val startTime = System.currentTimeMillis() +// @tailrec +// def tryAgain(attempt: Int): T = { +// makeAttempt() match { +// case Right(result) => result +// case Left(e) => +// val duration = System.currentTimeMillis() - startTime +// if (duration < timeout.milliseconds) { +// Thread.sleep(interval.milliseconds) +// } else { +// throw new TimeoutException(e.getMessage) +// } +// +// tryAgain(attempt + 1) +// } +// } +// +// tryAgain(1) +// } +// +// private def waitUntilMetadataIsPropagated(topic: String, partition: Int): Unit = { +// def isPropagated = server.apis.metadataCache.getPartitionInfo(topic, partition) match { +// case Some(partitionState) => +// val leaderAndInSyncReplicas = partitionState.leaderIsrAndControllerEpoch.leaderAndIsr +// +// zkUtils.getLeaderForPartition(topic, partition).isDefined && +// Request.isValidBrokerId(leaderAndInSyncReplicas.leader) && +// leaderAndInSyncReplicas.isr.size >= 1 +// +// case _ => +// false +// } +// eventually(Time(10000), Time(100)) { +// assert(isPropagated, s"Partition [$topic, $partition] metadata not propagated after timeout") +// } +// } +// +// private class EmbeddedZookeeper(val zkConnect: String) { +// val snapshotDir = Utils.createTempDir() +// val logDir = Utils.createTempDir() +// +// val zookeeper = new ZooKeeperServer(snapshotDir, logDir, 500) +// val (ip, port) = { +// val splits = zkConnect.split(":") +// (splits(0), splits(1).toInt) +// } +// val factory = new NIOServerCnxnFactory() +// factory.configure(new InetSocketAddress(ip, port), 16) +// factory.startup(zookeeper) +// +// val actualPort = factory.getLocalPort +// +// def shutdown() { +// factory.shutdown() +// Utils.deleteRecursively(snapshotDir) +// Utils.deleteRecursively(logDir) +// } +// } +//} +// diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala new file mode 100644 index 000000000..1f18d9eb3 --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala @@ -0,0 +1,245 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.streaming.kafka + +import java.{util => ju} + +import io.ebay.rheos.schema.event.RheosEvent +import org.apache.kafka.clients.consumer._ +import org.apache.kafka.common.{PartitionInfo, TopicPartition} +import org.apache.spark.annotation.Experimental +import org.apache.spark.api.java.function.{Function0 => JFunction0} +import org.apache.spark.api.java.{JavaRDD, JavaSparkContext} +import org.apache.spark.rdd.RDD +import org.apache.spark.streaming.StreamingContext +import org.apache.spark.streaming.api.java.{JavaInputDStream, JavaStreamingContext} +import org.apache.spark.streaming.dstream._ +import org.apache.spark.{Logging, SparkContext} + +import scala.collection.JavaConverters._ + +/** + * :: Experimental :: + * object for constructing Kafka streams and RDDs + */ +@Experimental +object KafkaUtils extends Logging { + /** + * :: Experimental :: + * Scala constructor for a batch-oriented interface for consuming from Kafka. + * Starting and ending offsets are specified in advance, + * so that you can control exactly-once semantics. + * + * @param kafkaParams Kafka + * + * configuration parameters. Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsetRanges offset ranges that define the Kafka data belonging to this RDD + * @param locationStrategy In most cases, pass in LocationStrategies.preferConsistent, + * see [[LocationStrategies]] for more details. + * @tparam K type of Kafka message key + * @tparam V type of Kafka message value + */ + @Experimental + def createRDD[K, V]( + sc: SparkContext, + kafkaParams: ju.Map[String, Object], + offsetRanges: Array[OffsetRange], + locationStrategy: LocationStrategy + ): RDD[ConsumerRecord[K, V]] = { + val preferredHosts = locationStrategy match { + case PreferBrokers => + throw new AssertionError( + "If you want to prefer brokers, you must provide a mapping using PreferFixed " + + "A single KafkaRDD does not have a driver consumer and cannot look up brokers for you.") + case PreferConsistent => ju.Collections.emptyMap[TopicPartition, String]() + case PreferFixed(hostMap) => hostMap + } + val kp = new ju.HashMap[String, Object](kafkaParams) + fixKafkaParams(kp) + val osr = offsetRanges.clone() + + new KafkaRDD[K, V](sc, kp, osr, preferredHosts, true) + } + + /** + * :: Experimental :: + * Java constructor for a batch-oriented interface for consuming from Kafka. + * Starting and ending offsets are specified in advance, + * so that you can control exactly-once semantics. + * + * @param kafkaParams Kafka + * + * configuration parameters. Requires "bootstrap.servers" to be set + * with Kafka broker(s) specified in host1:port1,host2:port2 form. + * @param offsetRanges offset ranges that define the Kafka data belonging to this RDD + * @param locationStrategy In most cases, pass in LocationStrategies.preferConsistent, + * see [[LocationStrategies]] for more details. + * @tparam K type of Kafka message key + * @tparam V type of Kafka message value + */ + @Experimental + def createRDD[K, V]( + jsc: JavaSparkContext, + kafkaParams: ju.Map[String, Object], + offsetRanges: Array[OffsetRange], + locationStrategy: LocationStrategy + ): JavaRDD[ConsumerRecord[K, V]] = { + + new JavaRDD(createRDD[K, V](jsc.sc, kafkaParams, offsetRanges, locationStrategy)) + } + + /** + * :: Experimental :: + * Scala constructor for a DStream where + * each given Kafka topic/partition corresponds to an RDD partition. + * The spark configuration spark.streaming.kafka.maxRatePerPartition gives the maximum number + * of messages + * per second that each '''partition''' will accept. + * + * @param locationStrategy In most cases, pass in LocationStrategies.preferConsistent, + * see [[LocationStrategies]] for more details. + * @param consumerStrategy In most cases, pass in ConsumerStrategies.subscribe, + * see [[ConsumerStrategies]] for more details + * @tparam K type of Kafka message key + * @tparam V type of Kafka message value + */ + @Experimental + def createDirectStream[K, V]( + ssc: StreamingContext, + locationStrategy: LocationStrategy, + consumerStrategy: ConsumerStrategy[K, V] + ): InputDStream[ConsumerRecord[K, V]] = { + new DirectKafkaInputDStream[K, V](ssc, locationStrategy, consumerStrategy) + } + + private def fixKafkaParamsForRheos( + kafkaParams: ju.Map[String, Object] + ): Unit = { + // check whether must-have params are set +// for ( param <- WaltzConstant.RheosMustHaveParams) { +// if (! kafkaParams.containsKey(param) || kafkaParams.get(param).toString.isEmpty) { +// throw new RuntimeException(s"invalid rheos config: $param is not set.") +// } +// } +// kafkaParams.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, WaltzConstant.RheosBootStrapServers) +// kafkaParams.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, WaltzConstant.RheosKeyDeser) +// kafkaParams.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, WaltzConstant.RheosValueDeser) + + // check whether need to enable security +// if (! kafkaParams.containsKey(WaltzConstant.RheosNeedAuth) +// || kafkaParams.get(WaltzConstant.RheosNeedAuth).toString.equals("1")) { +// for ((key, value) <- WaltzConstant.RheosSecParams) { +// kafkaParams.put(key.toString, value.toString) +// } +// } + /* val config: ju.Map[String, AnyRef] = new ju.HashMap[String, AnyRef] + config.put(StreamConnectorConfig.RHEOS_SERVICES_URLS, "http://rheos-services.qa.ebay.com") + + val connector: KafkaConsumerConnector = new DataStreamKafkaConsumerConnector(config) + val consumerName = kafkaParams.get("source.rheos.consumer.name").toString + val kafkaConsumer = kafkaParams.get("useRheosEvent").toString match { + case "0" => connector.createByteArrayTypedKafkaConsumer(consumerName) + case "1" => connector.createRheosEventTypedKafkaConsumer(consumerName) + } + // scalastyle:on + kafkaConsumer.asInstanceOf[KafkaConsumer[Array[Byte], Array[Byte]]] */ + } + + /** + * :: Experimental :: + * Scala constructor for a DStream where + * each given Kafka topic/partition corresponds to an RDD partition. + * The spark configuration spark.streaming.kafka.maxRatePerPartition gives the maximum number + * of messages + * per second that each '''partition''' will accept. + */ + @Experimental + def createRheosDirectStream( + ssc: StreamingContext, + kafkaParams: ju.Map[String, Object], + topics: Set[String] + ): InputDStream[ConsumerRecord[Array[Byte], RheosEvent]] = { + try { + fixKafkaParamsForRheos(kafkaParams) + } catch { + case runtime : RuntimeException => { + logError(runtime.getMessage) + throw new RuntimeException("Cannot create rheos stream due to invalid config") + } + } + val rheosConsumer = new KafkaConsumer[Array[Byte], RheosEvent](kafkaParams) + val assignedTps = topics.flatMap(topic => rheosConsumer.partitionsFor(topic).toArray) + .asInstanceOf[Set[PartitionInfo]] + .map({ pi => + new TopicPartition(pi.topic(), pi.partition()) + }) + new DirectKafkaInputDStream[Array[Byte], RheosEvent](ssc, LocationStrategies.PreferConsistent, + ConsumerStrategies.Assign(assignedTps, kafkaParams.asScala)) + } + + /** + * :: Experimental :: + * Java constructor for a DStream where + * each given Kafka topic/partition corresponds to an RDD partition. + * + * @param locationStrategy In most cases, pass in LocationStrategies.preferConsistent, + * see [[LocationStrategies]] for more details. + * @param consumerStrategy In most cases, pass in ConsumerStrategies.subscribe, + * see [[ConsumerStrategies]] for more details + * @tparam K type of Kafka message key + * @tparam V type of Kafka message value + */ + @Experimental + def createDirectStream[K, V]( + jssc: JavaStreamingContext, + locationStrategy: LocationStrategy, + consumerStrategy: ConsumerStrategy[K, V] + ): JavaInputDStream[ConsumerRecord[K, V]] = { + new JavaInputDStream( + createDirectStream[K, V]( + jssc.ssc, locationStrategy, consumerStrategy)) + } + + /** + * Tweak kafka params to prevent issues on executors + */ + private[kafka] def fixKafkaParams(kafkaParams: ju.HashMap[String, Object]): Unit = { + logWarning(s"overriding ${ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG} to false for executor") + kafkaParams.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false: java.lang.Boolean) + + /* logWarning(s"overriding ${ConsumerConfig.AUTO_OFFSET_RESET_CONFIG} to none for executor") + kafkaParams.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "none") */ + + // driver and executor should be in different consumer groups + /* val originalGroupId = kafkaParams.get(ConsumerConfig.GROUP_ID_CONFIG) + if (null == originalGroupId) { + logError(s"${ConsumerConfig.GROUP_ID_CONFIG} is null, you should probably set it") + } + val groupId = "spark-executor-" + originalGroupId + logWarning(s"overriding executor ${ConsumerConfig.GROUP_ID_CONFIG} to ${groupId}") + kafkaParams.put(ConsumerConfig.GROUP_ID_CONFIG, groupId) */ + + // possible workaround for KAFKA-3135 + val rbb = kafkaParams.get(ConsumerConfig.RECEIVE_BUFFER_CONFIG) + if (null == rbb || rbb.asInstanceOf[java.lang.String].toInt < 65536) { + logWarning(s"overriding ${ConsumerConfig.RECEIVE_BUFFER_CONFIG} to 65536 see KAFKA-3135") + kafkaParams.put(ConsumerConfig.RECEIVE_BUFFER_CONFIG, 65536: java.lang.Integer) + } + } +} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/LocationStrategy.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/LocationStrategy.scala new file mode 100644 index 000000000..b4160ca7c --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/LocationStrategy.scala @@ -0,0 +1,84 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.streaming.kafka + +import java.{util => ju} + +import org.apache.kafka.common.TopicPartition +import org.apache.spark.annotation.Experimental + +import scala.collection.JavaConverters._ + + +/** + * :: Experimental :: + * Choice of how to schedule consumers for a given TopicPartition on an executor. + * See [[LocationStrategies]] to obtain instances. + * Kafka 0.10 consumers prefetch messages, so it's important for performance + * to keep cached consumers on appropriate executors, not recreate them for every partition. + * Choice of location is only a preference, not an absolute; partitions may be scheduled elsewhere. + */ +@Experimental +sealed abstract class LocationStrategy + +private case object PreferBrokers extends LocationStrategy + +private case object PreferConsistent extends LocationStrategy + +private case class PreferFixed(hostMap: ju.Map[TopicPartition, String]) extends LocationStrategy + +/** + * :: Experimental :: object to obtain instances of [[LocationStrategy]] + * + */ +@Experimental +object LocationStrategies { + /** + * :: Experimental :: + * Use this only if your executors are on the same nodes as your Kafka brokers. + */ + @Experimental + def PreferBrokers: LocationStrategy = + org.apache.spark.streaming.kafka.PreferBrokers + + /** + * :: Experimental :: + * Use this in most cases, it will consistently distribute partitions across all executors. + */ + @Experimental + def PreferConsistent: LocationStrategy = + org.apache.spark.streaming.kafka.PreferConsistent + + /** + * :: Experimental :: + * Use this to place particular TopicPartitions on particular hosts if your load is uneven. + * Any TopicPartition not specified in the map will use a consistent location. + */ + @Experimental + def PreferFixed(hostMap: collection.Map[TopicPartition, String]): LocationStrategy = + new PreferFixed(new ju.HashMap[TopicPartition, String](hostMap.asJava)) + + /** + * :: Experimental :: + * Use this to place particular TopicPartitions on particular hosts if your load is uneven. + * Any TopicPartition not specified in the map will use a consistent location. + */ + @Experimental + def PreferFixed(hostMap: ju.Map[TopicPartition, String]): LocationStrategy = + new PreferFixed(hostMap) +} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/OffsetRange.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/OffsetRange.scala new file mode 100644 index 000000000..333fef3cc --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/OffsetRange.scala @@ -0,0 +1,152 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.streaming.kafka + +import org.apache.kafka.clients.consumer.OffsetCommitCallback +import org.apache.kafka.common.TopicPartition +import org.apache.spark.annotation.Experimental + +/** + * Represents any object that has a collection of [[OffsetRange]]s. This can be used to access the + * offset ranges in RDDs generated by the direct Kafka DStream (see + * [[KafkaUtils.createDirectStream]]). + * {{{ + * KafkaUtils.createDirectStream(...).foreachRDD { rdd => + * val offsetRanges = rdd.asInstanceOf[HasOffsetRanges].offsetRanges + * ... + * } + * }}} + */ +trait HasOffsetRanges { + def offsetRanges: Array[OffsetRange] +} + +/** + * :: Experimental :: + * Represents any object that can commit a collection of [[OffsetRange]]s. + * The direct Kafka DStream implements this interface (see + * [[KafkaUtils.createDirectStream]]). + * {{{ + * val stream = KafkaUtils.createDirectStream(...) + * ... + * stream.asInstanceOf[CanCommitOffsets].commitAsync(offsets, new OffsetCommitCallback() { + * def onComplete(m: java.util.Map[TopicPartition, OffsetAndMetadata], e: Exception) { + * if (null != e) { + * // error + * } else { + * // success + * } + * } + * }) + * }}} + */ +@Experimental +trait CanCommitOffsets { + /** + * :: Experimental :: + * Queue up offset ranges for commit to Kafka at a future time. Threadsafe. + * This is only needed if you intend to store offsets in Kafka, instead of your own store. + * @param offsetRanges The maximum untilOffset for a given partition will be used at commit. + */ + @Experimental + def commitAsync(offsetRanges: Array[OffsetRange]): Unit + + /** + * :: Experimental :: + * Queue up offset ranges for commit to Kafka at a future time. Threadsafe. + * This is only needed if you intend to store offsets in Kafka, instead of your own store. + * @param offsetRanges The maximum untilOffset for a given partition will be used at commit. + * @param callback Only the most recently provided callback will be used at commit. + */ + @Experimental + def commitAsync(offsetRanges: Array[OffsetRange], callback: OffsetCommitCallback): Unit +} + +/** + * Represents a range of offsets from a single Kafka TopicPartition. Instances of this class + * can be created with `OffsetRange.create()`. + * @param topic Kafka topic name + * @param partition Kafka partition id + * @param fromOffset Inclusive starting offset + * @param untilOffset Exclusive ending offset + */ +final class OffsetRange private( + val topic: String, + val partition: Int, + val fromOffset: Long, + val untilOffset: Long) extends Serializable { + import OffsetRange.OffsetRangeTuple + + /** Kafka TopicPartition object, for convenience */ + def topicPartition(): TopicPartition = new TopicPartition(topic, partition) + + /** Number of messages this OffsetRange refers to */ + def count(): Long = untilOffset - fromOffset + + override def equals(obj: Any): Boolean = obj match { + case that: OffsetRange => + this.topic == that.topic && + this.partition == that.partition && + this.fromOffset == that.fromOffset && + this.untilOffset == that.untilOffset + case _ => false + } + + override def hashCode(): Int = { + toTuple.hashCode() + } + + override def toString(): String = { + s"OffsetRange(topic: '$topic', partition: $partition, range: [$fromOffset -> $untilOffset])" + } + + /** this is to avoid ClassNotFoundException during checkpoint restore */ + private[streaming] + def toTuple: OffsetRangeTuple = (topic, partition, fromOffset, untilOffset) +} + +/** + * Companion object the provides methods to create instances of [[OffsetRange]]. + */ +object OffsetRange { + def create(topic: String, partition: Int, fromOffset: Long, untilOffset: Long): OffsetRange = + new OffsetRange(topic, partition, fromOffset, untilOffset) + + def create( + topicPartition: TopicPartition, + fromOffset: Long, + untilOffset: Long): OffsetRange = + new OffsetRange(topicPartition.topic, topicPartition.partition, fromOffset, untilOffset) + + def apply(topic: String, partition: Int, fromOffset: Long, untilOffset: Long): OffsetRange = + new OffsetRange(topic, partition, fromOffset, untilOffset) + + def apply( + topicPartition: TopicPartition, + fromOffset: Long, + untilOffset: Long): OffsetRange = + new OffsetRange(topicPartition.topic, topicPartition.partition, fromOffset, untilOffset) + + /** this is to avoid ClassNotFoundException during checkpoint restore */ + private[kafka] + type OffsetRangeTuple = (String, Int, Long, Long) + + private[kafka] + def apply(t: OffsetRangeTuple) = + new OffsetRange(t._1, t._2, t._3, t._4) +} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/WaltzConstant.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/WaltzConstant.scala new file mode 100644 index 000000000..bab2dc9b5 --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/WaltzConstant.scala @@ -0,0 +1,54 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.streaming.kafka + +import org.apache.kafka.clients.consumer.ConsumerConfig + +/** + * Created by jinxliu on 7/26/16. + */ +object WaltzConstant { + val RheosKeyDeser = "org.apache.kafka.common.serialization.ByteArrayDeserializer" +// val RheosValueDeser = "org.apache.kafka.common.serialization.ByteArrayDeserializer" + val RheosValueDeser ="io.ebay.rheos.schema.avro.RheosEventDeserializer" + +// val RheosBootStrapServers = "rheos-kafka-proxy-1.lvs02.dev.ebayc3.com:9093," + +// "rheos-kafka-proxy-2.lvs02.dev.ebayc3.com:9093," + +// "rheos-kafka-proxy-3.lvs02.dev.ebayc3.com:9093," + +// "rheos-kafka-proxy-1.phx02.dev.ebayc3.com:9093," + +// "rheos-kafka-proxy-2.phx02.dev.ebayc3.com:9093," + +// "rheos-kafka-proxy-3.phx02.dev.ebayc3.com:9093" + + val RheosBootStrapServers = "rheos-kafka-proxy-1.phx02.dev.ebayc3.com:9092," + + "rheos-kafka-proxy-2.phx02.dev.ebayc3.com:9092," + + "rheos-kafka-proxy-3.phx02.dev.ebayc3.com:9092," + + "rheos-kafka-proxy-1.lvs02.dev.ebayc3.com:9092," + + "rheos-kafka-proxy-2.lvs02.dev.ebayc3.com:9092," + + "rheos-kafka-proxy-3.lvs02.dev.ebayc3.com:9092" + + val RheosSecParams = Map[String, String]( + "sasl.mechanism" -> "IAF", + "security.protocol" -> "SASL_PLAINTEXT", + "sasl.login.class" -> "io.ebay.rheos.kafka.security.iaf.IAFLogin", + "sasl.callback.handler.class" -> "io.ebay.rheos.kafka.security.iaf.IAFCallbackHandler" + ) + + val RheosNeedAuth = "source.needAuth" + val RheosMustHaveParams = List( ConsumerConfig.CLIENT_ID_CONFIG, + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, ConsumerConfig.GROUP_ID_CONFIG) +} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/package-info.java b/measure/src/main/scala/org/apache/spark/streaming/kafka/package-info.java new file mode 100644 index 000000000..8badac539 --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/package-info.java @@ -0,0 +1,21 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** + * Spark Integration for Kafka 0.10 + */ +package org.apache.spark.streaming.kafka; diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/package.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/package.scala new file mode 100644 index 000000000..f100dd145 --- /dev/null +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/package.scala @@ -0,0 +1,23 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.streaming + +/** + * Spark Integration for Kafka 0.10 + */ +package object kafka //scalastyle:ignore From b67a23d3f669e481bc86d052854f7565513050a9 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 14 Mar 2018 17:07:34 +0800 Subject: [PATCH 161/177] pom modify --- measure/pom.xml | 44 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 44 insertions(+) diff --git a/measure/pom.xml b/measure/pom.xml index 8cecb717c..30d5c7fcf 100644 --- a/measure/pom.xml +++ b/measure/pom.xml @@ -32,6 +32,21 @@ under the License. Apache Griffin :: Measures http://maven.apache.org + + + ebaycentral.releases + http://ebaycentral.corp.ebay.com/content/repositories/releases + + + ebaycentral.3rd + http://ebaycentral.corp.ebay.com/content/repositories/thirdparty + + + ebaycentral.snapshot + http://ebaycentral.corp.ebay.com/content/repositories/snapshots + + + UTF-8 @@ -155,6 +170,35 @@ under the License. ${curator.version} + + + io.ebay.rheos + rheos-client + 0.0.6-SNAPSHOT + + + + + + + + + + + + + + + com.ebay.crawler.streaming.rheos + rheos-streaming-beans + 0.0.1 + + + com.ebay.crawler.streaming.rheos + rheos-streaming-common + 0.0.1 + + junit From 9681d9231e77c0acff375bee30a1f7af045c6629 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 15 Mar 2018 11:00:15 +0800 Subject: [PATCH 162/177] refresh rheos kafka package --- ...nsumer.scala => CachedRheosConsumer.scala} | 26 +++++++++---------- ...am.scala => DirectRheosInputDStream.scala} | 14 +++++----- .../kafka/{KafkaRDD.scala => RheosRDD.scala} | 26 +++++++++---------- ...artition.scala => RheosRDDPartition.scala} | 2 +- .../{KafkaUtils.scala => RheosUtils.scala} | 10 +++---- 5 files changed, 39 insertions(+), 39 deletions(-) rename measure/src/main/scala/org/apache/spark/streaming/kafka/{CachedKafkaConsumer.scala => CachedRheosConsumer.scala} (88%) rename measure/src/main/scala/org/apache/spark/streaming/kafka/{DirectKafkaInputDStream.scala => DirectRheosInputDStream.scala} (96%) rename measure/src/main/scala/org/apache/spark/streaming/kafka/{KafkaRDD.scala => RheosRDD.scala} (92%) rename measure/src/main/scala/org/apache/spark/streaming/kafka/{KafkaRDDPartition.scala => RheosRDDPartition.scala} (98%) rename measure/src/main/scala/org/apache/spark/streaming/kafka/{KafkaUtils.scala => RheosUtils.scala} (97%) diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/CachedKafkaConsumer.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/CachedRheosConsumer.scala similarity index 88% rename from measure/src/main/scala/org/apache/spark/streaming/kafka/CachedKafkaConsumer.scala rename to measure/src/main/scala/org/apache/spark/streaming/kafka/CachedRheosConsumer.scala index 3522bdecf..cd20b6a51 100644 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/CachedKafkaConsumer.scala +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/CachedRheosConsumer.scala @@ -30,7 +30,7 @@ import org.apache.spark.Logging * but processing the same topicpartition and group id in multiple threads is usually bad anyway. */ private[kafka] -class CachedKafkaConsumer[K, V] private( +class CachedRheosConsumer[K, V] private( val groupId: String, val topic: String, val partition: Int, @@ -103,24 +103,24 @@ class CachedKafkaConsumer[K, V] private( } private[kafka] -object CachedKafkaConsumer extends Logging { +object CachedRheosConsumer extends Logging { private case class CacheKey(groupId: String, topic: String, partition: Int) // Don't want to depend on guava, don't want a cleanup thread, use a simple LinkedHashMap - private var cache: ju.LinkedHashMap[CacheKey, CachedKafkaConsumer[_, _]] = null + private var cache: ju.LinkedHashMap[CacheKey, CachedRheosConsumer[_, _]] = null /** Must be called before get, once per JVM, to configure the cache. Further calls are ignored */ def init( initialCapacity: Int, maxCapacity: Int, - loadFactor: Float): Unit = CachedKafkaConsumer.synchronized { + loadFactor: Float): Unit = CachedRheosConsumer.synchronized { if (null == cache) { logInfo(s"Initializing cache $initialCapacity $maxCapacity $loadFactor") - cache = new ju.LinkedHashMap[CacheKey, CachedKafkaConsumer[_, _]]( + cache = new ju.LinkedHashMap[CacheKey, CachedRheosConsumer[_, _]]( initialCapacity, loadFactor, true) { override def removeEldestEntry( - entry: ju.Map.Entry[CacheKey, CachedKafkaConsumer[_, _]]): Boolean = { + entry: ju.Map.Entry[CacheKey, CachedRheosConsumer[_, _]]): Boolean = { if (this.size > maxCapacity) { try { entry.getValue.consumer.close() @@ -145,19 +145,19 @@ object CachedKafkaConsumer extends Logging { groupId: String, topic: String, partition: Int, - kafkaParams: ju.Map[String, Object]): CachedKafkaConsumer[K, V] = - CachedKafkaConsumer.synchronized { + kafkaParams: ju.Map[String, Object]): CachedRheosConsumer[K, V] = + CachedRheosConsumer.synchronized { val k = CacheKey(groupId, topic, partition) val v = cache.get(k) if (null == v) { logInfo(s"Cache miss for $k") logDebug(cache.keySet.toString) - val c = new CachedKafkaConsumer[K, V](groupId, topic, partition, kafkaParams) + val c = new CachedRheosConsumer[K, V](groupId, topic, partition, kafkaParams) cache.put(k, c) c } else { // any given topicpartition should have a consistent key and value type - v.asInstanceOf[CachedKafkaConsumer[K, V]] + v.asInstanceOf[CachedRheosConsumer[K, V]] } } @@ -169,14 +169,14 @@ object CachedKafkaConsumer extends Logging { groupId: String, topic: String, partition: Int, - kafkaParams: ju.Map[String, Object]): CachedKafkaConsumer[K, V] = - new CachedKafkaConsumer[K, V](groupId, topic, partition, kafkaParams) + kafkaParams: ju.Map[String, Object]): CachedRheosConsumer[K, V] = + new CachedRheosConsumer[K, V](groupId, topic, partition, kafkaParams) /** remove consumer for given groupId, topic, and partition, if it exists */ def remove(groupId: String, topic: String, partition: Int): Unit = { val k = CacheKey(groupId, topic, partition) logInfo(s"Removing $k from cache") - val v = CachedKafkaConsumer.synchronized { + val v = CachedRheosConsumer.synchronized { cache.remove(k) } if (null != v) { diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/DirectKafkaInputDStream.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/DirectRheosInputDStream.scala similarity index 96% rename from measure/src/main/scala/org/apache/spark/streaming/kafka/DirectKafkaInputDStream.scala rename to measure/src/main/scala/org/apache/spark/streaming/kafka/DirectRheosInputDStream.scala index 9807ad4f7..fa45220ef 100644 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/DirectKafkaInputDStream.scala +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/DirectRheosInputDStream.scala @@ -46,7 +46,7 @@ import scala.collection.mutable * @tparam K type of Kafka message key * @tparam V type of Kafka message value */ -class DirectKafkaInputDStream[K, V]( +class DirectRheosInputDStream[K, V]( _ssc: StreamingContext, locationStrategy: LocationStrategy, consumerStrategy: ConsumerStrategy[K, V] @@ -54,7 +54,7 @@ class DirectKafkaInputDStream[K, V]( val executorKafkaParams = { val ekp = new ju.HashMap[String, Object](consumerStrategy.executorKafkaParams) - KafkaUtils.fixKafkaParams(ekp) + RheosUtils.fixKafkaParams(ekp) ekp } @@ -184,13 +184,13 @@ class DirectKafkaInputDStream[K, V]( }.getOrElse(offsets) } - override def compute(validTime: Time): Option[KafkaRDD[K, V]] = { + override def compute(validTime: Time): Option[RheosRDD[K, V]] = { val untilOffsets = clamp(latestOffsets()) val offsetRanges = untilOffsets.map { case (tp, uo) => val fo = currentOffsets(tp) OffsetRange(tp.topic, tp.partition, fo, uo) } - val rdd = new KafkaRDD[K, V]( + val rdd = new RheosRDD[K, V]( context.sparkContext, executorKafkaParams, offsetRanges.toArray, getPreferredHosts, true) // Report the record number and metadata of this batch interval to InputInfoTracker. @@ -277,7 +277,7 @@ class DirectKafkaInputDStream[K, V]( override def update(time: Time): Unit = { batchForTime.clear() generatedRDDs.foreach { kv => - val a = kv._2.asInstanceOf[KafkaRDD[K, V]].offsetRanges.map(_.toTuple).toArray + val a = kv._2.asInstanceOf[RheosRDD[K, V]].offsetRanges.map(_.toTuple).toArray batchForTime += kv._1 -> a } } @@ -286,8 +286,8 @@ class DirectKafkaInputDStream[K, V]( override def restore(): Unit = { batchForTime.toSeq.sortBy(_._1)(Time.ordering).foreach { case (t, b) => - logInfo(s"Restoring KafkaRDD for time $t ${b.mkString("[", ", ", "]")}") - generatedRDDs += t -> new KafkaRDD[K, V]( + logInfo(s"Restoring RheosRDD for time $t ${b.mkString("[", ", ", "]")}") + generatedRDDs += t -> new RheosRDD[K, V]( context.sparkContext, executorKafkaParams, b.map(OffsetRange(_)), diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDD.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDD.scala similarity index 92% rename from measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDD.scala rename to measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDD.scala index ed6fbe0d5..b8ebbcea8 100644 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDD.scala +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDD.scala @@ -45,7 +45,7 @@ import scala.collection.mutable.ArrayBuffer * @tparam K type of Kafka message key * @tparam V type of Kafka message value */ -private[spark] class KafkaRDD[K, V]( +private[spark] class RheosRDD[K, V]( sc: SparkContext, val kafkaParams: ju.Map[String, Object], val offsetRanges: Array[OffsetRange], @@ -80,7 +80,7 @@ private[spark] class KafkaRDD[K, V]( override def getPartitions: Array[Partition] = { offsetRanges.zipWithIndex.map { case (o, i) => - new KafkaRDDPartition(i, o.topic, o.partition, o.fromOffset, o.untilOffset) + new RheosRDDPartition(i, o.topic, o.partition, o.fromOffset, o.untilOffset) }.toArray } @@ -98,7 +98,7 @@ private[spark] class KafkaRDD[K, V]( override def take(num: Int): Array[ConsumerRecord[K, V]] = { val nonEmptyPartitions = this.partitions - .map(_.asInstanceOf[KafkaRDDPartition]) + .map(_.asInstanceOf[RheosRDDPartition]) .filter(_.count > 0) if (num < 1 || nonEmptyPartitions.isEmpty) { @@ -151,7 +151,7 @@ private[spark] class KafkaRDD[K, V]( // The intention is best-effort consistent executor for a given topicpartition, // so that caching consumers can be effective. // TODO what about hosts specified by ip vs name - val part = thePart.asInstanceOf[KafkaRDDPartition] + val part = thePart.asInstanceOf[RheosRDDPartition] val allExecs = executors() val tp = part.topicPartition val prefHost = preferredHosts.get(tp) @@ -167,20 +167,20 @@ private[spark] class KafkaRDD[K, V]( } } - private def errBeginAfterEnd(part: KafkaRDDPartition): String = + private def errBeginAfterEnd(part: RheosRDDPartition): String = s"Beginning offset ${part.fromOffset} is after the ending offset ${part.untilOffset} " + s"for topic ${part.topic} partition ${part.partition}. " + "You either provided an invalid fromOffset, or the Kafka topic has been damaged" override def compute(thePart: Partition, context: TaskContext): Iterator[ConsumerRecord[K, V]] = { - val part = thePart.asInstanceOf[KafkaRDDPartition] + val part = thePart.asInstanceOf[RheosRDDPartition] assert(part.fromOffset <= part.untilOffset, errBeginAfterEnd(part)) if (part.fromOffset == part.untilOffset) { logInfo(s"Beginning offset ${part.fromOffset} is the same as ending offset " + s"skipping ${part.topic} ${part.partition}") Iterator.empty } else { - new KafkaRDDIterator(part, context) + new RheosRDDIterator(part, context) } } @@ -188,8 +188,8 @@ private[spark] class KafkaRDD[K, V]( * An iterator that fetches messages directly from Kafka for the offsets in partition. * Uses a cached consumer where possible to take advantage of prefetching */ - private class KafkaRDDIterator( - part: KafkaRDDPartition, + private class RheosRDDIterator( + part: RheosRDDPartition, context: TaskContext) extends Iterator[ConsumerRecord[K, V]] { logInfo(s"Computing topic ${part.topic}, partition ${part.partition} " + @@ -200,14 +200,14 @@ private[spark] class KafkaRDD[K, V]( context.addTaskCompletionListener{ context => closeIfNeeded() } val consumer = if (useConsumerCache) { - CachedKafkaConsumer.init(cacheInitialCapacity, cacheMaxCapacity, cacheLoadFactor) + CachedRheosConsumer.init(cacheInitialCapacity, cacheMaxCapacity, cacheLoadFactor) if (context.attemptNumber > 1) { // just in case the prior attempt failures were cache related - CachedKafkaConsumer.remove(groupId, part.topic, part.partition) + CachedRheosConsumer.remove(groupId, part.topic, part.partition) } - CachedKafkaConsumer.get[K, V](groupId, part.topic, part.partition, kafkaParams) + CachedRheosConsumer.get[K, V](groupId, part.topic, part.partition, kafkaParams) } else { - CachedKafkaConsumer.getUncached[K, V](groupId, part.topic, part.partition, kafkaParams) + CachedRheosConsumer.getUncached[K, V](groupId, part.topic, part.partition, kafkaParams) } var requestOffset = part.fromOffset diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDDPartition.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDDPartition.scala similarity index 98% rename from measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDDPartition.scala rename to measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDDPartition.scala index b444d2e35..35e2a3ee7 100644 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDDPartition.scala +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDDPartition.scala @@ -28,7 +28,7 @@ import org.apache.spark.Partition * @param untilOffset exclusive ending offset */ private[kafka] -class KafkaRDDPartition( +class RheosRDDPartition( val index: Int, val topic: String, val partition: Int, diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosUtils.scala similarity index 97% rename from measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala rename to measure/src/main/scala/org/apache/spark/streaming/kafka/RheosUtils.scala index 1f18d9eb3..8733b4ff3 100644 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala +++ b/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosUtils.scala @@ -38,7 +38,7 @@ import scala.collection.JavaConverters._ * object for constructing Kafka streams and RDDs */ @Experimental -object KafkaUtils extends Logging { +object RheosUtils extends Logging { /** * :: Experimental :: * Scala constructor for a batch-oriented interface for consuming from Kafka. @@ -66,7 +66,7 @@ object KafkaUtils extends Logging { case PreferBrokers => throw new AssertionError( "If you want to prefer brokers, you must provide a mapping using PreferFixed " + - "A single KafkaRDD does not have a driver consumer and cannot look up brokers for you.") + "A single RheosRDD does not have a driver consumer and cannot look up brokers for you.") case PreferConsistent => ju.Collections.emptyMap[TopicPartition, String]() case PreferFixed(hostMap) => hostMap } @@ -74,7 +74,7 @@ object KafkaUtils extends Logging { fixKafkaParams(kp) val osr = offsetRanges.clone() - new KafkaRDD[K, V](sc, kp, osr, preferredHosts, true) + new RheosRDD[K, V](sc, kp, osr, preferredHosts, true) } /** @@ -125,7 +125,7 @@ object KafkaUtils extends Logging { locationStrategy: LocationStrategy, consumerStrategy: ConsumerStrategy[K, V] ): InputDStream[ConsumerRecord[K, V]] = { - new DirectKafkaInputDStream[K, V](ssc, locationStrategy, consumerStrategy) + new DirectRheosInputDStream[K, V](ssc, locationStrategy, consumerStrategy) } private def fixKafkaParamsForRheos( @@ -189,7 +189,7 @@ object KafkaUtils extends Logging { .map({ pi => new TopicPartition(pi.topic(), pi.partition()) }) - new DirectKafkaInputDStream[Array[Byte], RheosEvent](ssc, LocationStrategies.PreferConsistent, + new DirectRheosInputDStream[Array[Byte], RheosEvent](ssc, LocationStrategies.PreferConsistent, ConsumerStrategies.Assign(assignedTps, kafkaParams.asScala)) } From e3cc9d422580e825cc86c47b7fd44b584d91cc0b Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 15 Mar 2018 16:42:31 +0800 Subject: [PATCH 163/177] test pass --- .../data/connector/DataConnectorFactory.scala | 25 +++- .../KafkaStreamingDataConnector.scala | 5 +- .../KafkaStreamingStringDataConnector.scala | 2 +- .../RheosStreamingDataConnector.scala | 130 +++++++++++++++++- .../streaming/StreamingDataConnector.scala | 5 +- 5 files changed, 155 insertions(+), 12 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala index 9c3383f67..1b5e1b877 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala @@ -20,7 +20,7 @@ package org.apache.griffin.measure.data.connector import kafka.serializer.StringDecoder import org.apache.griffin.measure.config.params.user._ -import org.apache.griffin.measure.data.connector.streaming.{KafkaStreamingDataConnector, KafkaStreamingStringDataConnector, StreamingDataConnector} +import org.apache.griffin.measure.data.connector.streaming.{KafkaStreamingDataConnector, KafkaStreamingStringDataConnector, RheosStreamingDataConnector, StreamingDataConnector} import org.apache.griffin.measure.process.engine.{DqEngine, DqEngines} import org.apache.spark.rdd.RDD import org.apache.spark.sql.DataFrame @@ -44,6 +44,7 @@ object DataConnectorFactory { val TextDirRegex = """^(?i)text-dir$""".r val KafkaRegex = """^(?i)kafka$""".r + val RheosRegex = """^(?i)rheos$""".r val TextRegex = """^(?i)text$""".r @@ -81,6 +82,7 @@ object DataConnectorFactory { val version = dataConnectorParam.version conType match { case KafkaRegex() => genKafkaDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) + case RheosRegex() => genRheosDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) case _ => throw new Exception("streaming connector creation error!") } } @@ -121,6 +123,27 @@ object DataConnectorFactory { } } + private def genRheosDataConnector(sqlContext: SQLContext, + @transient ssc: StreamingContext, + dqEngines: DqEngines, + dataConnectorParam: DataConnectorParam + ) = { + RheosStreamingDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) +// val config = dataConnectorParam.config +// val KeyType = "key.type" +// val ValueType = "value.type" +// val keyType = config.getOrElse(KeyType, "java.lang.String").toString +// val valueType = config.getOrElse(ValueType, "java.lang.String").toString +// (getClassTag(keyType), getClassTag(valueType)) match { +// case (ClassTag(k: Class[String]), ClassTag(v: Class[String])) => { +// RheosStreamingDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) +// } +// case _ => { +// throw new Exception("not supported type kafka data connector") +// } +// } + } + private def getClassTag(tp: String): ClassTag[_] = { try { val clazz = Class.forName(tp) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala index ff6d1c27a..d46d6b7d6 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingDataConnector.scala @@ -28,6 +28,7 @@ trait KafkaStreamingDataConnector extends StreamingDataConnector { type KD <: Decoder[K] type VD <: Decoder[V] + type OUT = (K, V) val config = dcParam.config @@ -74,12 +75,12 @@ trait KafkaStreamingDataConnector extends StreamingDataConnector { }) } - def stream(): Try[InputDStream[(K, V)]] = Try { + def stream(): Try[InputDStream[OUT]] = Try { val topicSet = topics.split(",").toSet createDStream(topicSet) } - protected def createDStream(topicSet: Set[String]): InputDStream[(K, V)] + protected def createDStream(topicSet: Set[String]): InputDStream[OUT] } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingStringDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingStringDataConnector.scala index 5e0413e76..f228c4357 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingStringDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingStringDataConnector.scala @@ -48,7 +48,7 @@ case class KafkaStreamingStringDataConnector(sqlContext: SQLContext, KafkaUtils.createDirectStream[K, V, KD, VD](ssc, kafkaConfig, topicSet) } - def transform(rdd: RDD[(K, V)]): Option[DataFrame] = { + def transform(rdd: RDD[OUT]): Option[DataFrame] = { if (rdd.isEmpty) None else { try { val rowRdd = rdd.map(d => Row(d._2)) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala index c4b94cb74..b3a8d0d91 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala @@ -20,24 +20,42 @@ package org.apache.griffin.measure.data.connector.streaming //import kafka.serializer.Decoder import io.ebay.rheos.schema.event.RheosEvent +import org.apache.griffin.measure.config.params.user.DataConnectorParam +import org.apache.griffin.measure.process.engine.DqEngines import org.apache.kafka.clients.consumer.ConsumerRecord +import org.apache.spark.rdd.RDD +import org.apache.spark.sql.{DataFrame, Row, SQLContext} import org.apache.spark.streaming.StreamingContext import org.apache.spark.streaming.dstream.InputDStream +import org.apache.spark.streaming.kafka.RheosUtils -import scala.util.Try +import scala.util.{Failure, Success, Try} +import java.util.Properties +import java.io.ByteArrayOutputStream -abstract class RheosStreamingDataConnector(@transient ssc: StreamingContext, - config: Map[String, Any] - ) extends StreamingDataConnector { +import com.ebay.crawler.streaming.rheos.utils.RheosEventCodec +import org.apache.avro.Schema +import org.apache.avro.io.{EncoderFactory, JsonEncoder} +import org.apache.avro.reflect.{ReflectData, ReflectDatumWriter} +import org.apache.spark.sql.types.{StringType, StructField, StructType} + +case class RheosStreamingDataConnector(sqlContext: SQLContext, + @transient ssc: StreamingContext, + dqEngines: DqEngines, + dcParam: DataConnectorParam + ) extends StreamingDataConnector { // type KD <: Decoder[K] // type VD <: Decoder[V] type K = Array[Byte] type V = RheosEvent type OUT = ConsumerRecord[K, V] + val config = dcParam.config + val KafkaConfig = "kafka.config" val CodecConfig = "codec.config" val Topics = "topics" + val DataClass = "data.class" val kafkaConfig = config.get(KafkaConfig) match { case Some(map: Map[String, Any]) => map.mapValues(_.toString).map(identity) @@ -49,16 +67,116 @@ abstract class RheosStreamingDataConnector(@transient ssc: StreamingContext, } val topics = config.getOrElse(Topics, "").toString + val dataClassName = config.getOrElse(DataClass, "").toString + val dataClass = try { + Class.forName(dataClassName) + } catch { + case e: Throwable => { + throw new Exception(s"data class param error") + } + } + + val properties = initProperties + private def initProperties(): Properties = { + val props = new Properties() + codecConfig.foreach { pair => + val (k, v) = pair + props.put(k, v) + } + props + } + + val valueColName = "value" + val schema = StructType(Array( + StructField(valueColName, StringType) + )) + def available(): Boolean = { true } - def init(): Unit = {} + def init(): Unit = { + // register fan in + dataSourceCacheOpt.foreach(_.registerFanIn) + + val ds = stream match { + case Success(dstream) => dstream + case Failure(ex) => throw ex + } + ds.foreachRDD((rdd, time) => { + val ms = time.milliseconds + val saveDfOpt = try { + // coalesce partition number + val prlCount = rdd.sparkContext.defaultParallelism + val ptnCount = rdd.getNumPartitions + val repartitionedRdd = if (prlCount < ptnCount) { + rdd.coalesce(prlCount) + } else rdd + + val dfOpt = transform(repartitionedRdd) + + preProcess(dfOpt, ms) + } catch { + case e: Throwable => { + error(s"streaming data connector error: ${e.getMessage}") + None + } + } + + // save data frame + dataSourceCacheOpt.foreach(_.saveData(saveDfOpt, ms)) + }) + } def stream(): Try[InputDStream[OUT]] = Try { val topicSet = topics.split(",").toSet createDStream(topicSet) } - protected def createDStream(topicSet: Set[String]): InputDStream[OUT] + protected def createDStream(topicSet: Set[String]): InputDStream[OUT] = { + import scala.collection.JavaConversions._ + RheosUtils.createRheosDirectStream(ssc, kafkaConfig, topicSet) + } + + def transform(rdd: RDD[OUT]): Option[DataFrame] = { + // to reduce rdd partitions from rheos, to ignore multiple codec http request, which brings lots of exceptions. + val calcRdd = rdd.repartition(4) + + val rowRdd: RDD[Row] = calcRdd.mapPartitions { items => + val codec: RheosEventCodec = new RheosEventCodec(properties) + val schema: Schema = ReflectData.get.getSchema(dataClass) + items.flatMap { out => + try { + val v = out.value + val value = codec.decodeFromRheosEvent(v, dataClass) + val msg = stringifyGenericRecord(value, schema) + Some(Row(msg)) + } catch { + case e: Throwable => None + } + } + } + + if (rowRdd.isEmpty) None else { + try { + val df = sqlContext.createDataFrame(rowRdd, schema) + Some(df) + } catch { + case e: Throwable => { + error(s"streaming data transform fails") + None + } + } + } + } + + private def stringifyGenericRecord[T](record: T, schema: Schema): String = { + val out: ByteArrayOutputStream = new ByteArrayOutputStream + val encoder: JsonEncoder = EncoderFactory.get.jsonEncoder(schema, out) + val writer: ReflectDatumWriter[T] = new ReflectDatumWriter[T](schema) + writer.write(record, encoder) + encoder.flush() + out.toString + } + } \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala index 39f499573..e52ca1bb5 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/StreamingDataConnector.scala @@ -32,10 +32,11 @@ trait StreamingDataConnector extends DataConnector { type K type V + type OUT - protected def stream(): Try[InputDStream[(K, V)]] + protected def stream(): Try[InputDStream[OUT]] - def transform(rdd: RDD[(K, V)]): Option[DataFrame] + def transform(rdd: RDD[OUT]): Option[DataFrame] def data(ms: Long): (Option[DataFrame], TimeRange) = (None, TimeRange.emptyTimeRange) From 18569b8a8b917382973762621f84f9cc8c4b7cf0 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 15 Mar 2018 16:46:08 +0800 Subject: [PATCH 164/177] rmv repartition in rheos --- .../connector/streaming/RheosStreamingDataConnector.scala | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala index b3a8d0d91..cbb86b6b9 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala @@ -140,9 +140,9 @@ case class RheosStreamingDataConnector(sqlContext: SQLContext, def transform(rdd: RDD[OUT]): Option[DataFrame] = { // to reduce rdd partitions from rheos, to ignore multiple codec http request, which brings lots of exceptions. - val calcRdd = rdd.repartition(4) +// val calcRdd = rdd.repartition(4) - val rowRdd: RDD[Row] = calcRdd.mapPartitions { items => + val rowRdd: RDD[Row] = rdd.mapPartitions { items => val codec: RheosEventCodec = new RheosEventCodec(properties) val schema: Schema = ReflectData.get.getSchema(dataClass) items.flatMap { out => From 886d32306d52a50f6df69f37e7a3c3f4d76f29e5 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 20 Mar 2018 15:33:37 +0800 Subject: [PATCH 165/177] rheos consume fast enough --- .../data/connector/DataConnectorFactory.scala | 6 ++-- .../RheosStreamingDataConnector.scala | 32 +++++++++++++++---- .../data/source/cache/DataSourceCache.scala | 9 ++++++ 3 files changed, 38 insertions(+), 9 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala index 1b5e1b877..caaf5c13d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala @@ -62,9 +62,9 @@ object DataConnectorFactory { case AvroRegex() => AvroBatchDataConnector(sqlContext, dqEngines, dataConnectorParam) case TextDirRegex() => TextDirBatchDataConnector(sqlContext, dqEngines, dataConnectorParam) case KafkaRegex() => { -// val ksdcTry = getStreamingDataConnector(ssc, dataConnectorParam) -// val cdcTry = getCacheDataConnector(sqlContext, dataConnectorParam.cache) -// KafkaCacheDirectDataConnector(ksdcTry, cdcTry, dataConnectorParam) + getStreamingDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) + } + case RheosRegex() => { getStreamingDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) } case _ => throw new Exception("connector creation error!") diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala index cbb86b6b9..8b40aeb06 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala @@ -30,7 +30,7 @@ import org.apache.spark.streaming.dstream.InputDStream import org.apache.spark.streaming.kafka.RheosUtils import scala.util.{Failure, Success, Try} -import java.util.Properties +import java.util.{Date, Properties} import java.io.ByteArrayOutputStream import com.ebay.crawler.streaming.rheos.utils.RheosEventCodec @@ -105,13 +105,21 @@ case class RheosStreamingDataConnector(sqlContext: SQLContext, } ds.foreachRDD((rdd, time) => { val ms = time.milliseconds + + val t1 = new Date().getTime + val saveDfOpt = try { // coalesce partition number val prlCount = rdd.sparkContext.defaultParallelism - val ptnCount = rdd.getNumPartitions - val repartitionedRdd = if (prlCount < ptnCount) { - rdd.coalesce(prlCount) - } else rdd +// val ptnCount = rdd.getNumPartitions +// val repartitionedRdd = if (prlCount < ptnCount) { +//// rdd.coalesce(prlCount) +// rdd.repartition(prlCount) +// } else rdd + val repartitionedRdd = rdd.repartition(prlCount) + + val cnt = rdd.count + println(s"rheos receive data [${ms}] count: ${cnt}") val dfOpt = transform(repartitionedRdd) @@ -123,8 +131,14 @@ case class RheosStreamingDataConnector(sqlContext: SQLContext, } } + val t2 = new Date().getTime + println(s"rheos transform time: ${t2 - t1} ms") + // save data frame dataSourceCacheOpt.foreach(_.saveData(saveDfOpt, ms)) + + val t3 = new Date().getTime + println(s"rheos save time: ${t3 - t2} ms") }) } @@ -157,7 +171,9 @@ case class RheosStreamingDataConnector(sqlContext: SQLContext, } } - if (rowRdd.isEmpty) None else { + rowRdd.cache + + val retDfOpt = if (rowRdd.isEmpty) None else { try { val df = sqlContext.createDataFrame(rowRdd, schema) Some(df) @@ -168,6 +184,10 @@ case class RheosStreamingDataConnector(sqlContext: SQLContext, } } } + + rowRdd.unpersist() + + retDfOpt } private def stringifyGenericRecord[T](record: T, schema: Schema): String = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index 272a029ff..123a26db4 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -106,6 +106,12 @@ trait DataSourceCache extends DataCacheable with WithFanIn[Long] with Loggable w if (!readOnly) { dfOpt match { case Some(df) => { + df.cache + + // cache df + val cnt = df.count + println(s"save ${dsName} data count: ${cnt}") + // lock makes it safer when writing new cache data val newCacheLocked = newCacheLock.lock(-1, TimeUnit.SECONDS) if (newCacheLocked) { @@ -118,6 +124,9 @@ trait DataSourceCache extends DataCacheable with WithFanIn[Long] with Loggable w newCacheLock.unlock() } } + + // uncache + df.unpersist } case _ => { info(s"no data frame to save") From eb5ae5741a5eee1540cb5def035710cba3540ec4 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Tue, 20 Mar 2018 17:36:25 +0800 Subject: [PATCH 166/177] union by name --- .../KafkaStreamingStringDataConnector.scala | 2 +- .../RheosStreamingDataConnector.scala | 32 ++++++++----------- .../data/source/cache/DataSourceCache.scala | 8 ++++- .../process/engine/SparkSqlEngine.scala | 2 +- 4 files changed, 22 insertions(+), 22 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingStringDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingStringDataConnector.scala index f228c4357..038cb772d 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingStringDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/KafkaStreamingStringDataConnector.scala @@ -44,7 +44,7 @@ case class KafkaStreamingStringDataConnector(sqlContext: SQLContext, StructField(valueColName, StringType) )) - def createDStream(topicSet: Set[String]): InputDStream[(K, V)] = { + def createDStream(topicSet: Set[String]): InputDStream[OUT] = { KafkaUtils.createDirectStream[K, V, KD, VD](ssc, kafkaConfig, topicSet) } diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala index 8b40aeb06..1ac615d7a 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala @@ -156,24 +156,22 @@ case class RheosStreamingDataConnector(sqlContext: SQLContext, // to reduce rdd partitions from rheos, to ignore multiple codec http request, which brings lots of exceptions. // val calcRdd = rdd.repartition(4) - val rowRdd: RDD[Row] = rdd.mapPartitions { items => - val codec: RheosEventCodec = new RheosEventCodec(properties) - val schema: Schema = ReflectData.get.getSchema(dataClass) - items.flatMap { out => - try { - val v = out.value - val value = codec.decodeFromRheosEvent(v, dataClass) - val msg = stringifyGenericRecord(value, schema) - Some(Row(msg)) - } catch { - case e: Throwable => None + if (rdd.isEmpty) None else { + val rowRdd: RDD[Row] = rdd.mapPartitions { items => + val codec: RheosEventCodec = new RheosEventCodec(properties) + val schema: Schema = ReflectData.get.getSchema(dataClass) + items.flatMap { out => + try { + val v = out.value + val value = codec.decodeFromRheosEvent(v, dataClass) + val msg = stringifyGenericRecord(value, schema) + Some(Row(msg)) + } catch { + case e: Throwable => None + } } } - } - - rowRdd.cache - val retDfOpt = if (rowRdd.isEmpty) None else { try { val df = sqlContext.createDataFrame(rowRdd, schema) Some(df) @@ -184,10 +182,6 @@ case class RheosStreamingDataConnector(sqlContext: SQLContext, } } } - - rowRdd.unpersist() - - retDfOpt } private def stringifyGenericRecord[T](record: T, schema: Schema): String = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index 123a26db4..32821a361 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -28,6 +28,7 @@ import org.apache.griffin.measure.rule.adaptor.InternalColumns import org.apache.griffin.measure.utils.{HdfsUtil, TimeUtil} import org.apache.griffin.measure.utils.ParamUtil._ import org.apache.spark.sql._ +import org.apache.spark.sql.functions.col import scala.util.Random @@ -198,13 +199,18 @@ trait DataSourceCache extends DataCacheable with WithFanIn[Long] with Loggable w private def unionDfOpts(dfOpt1: Option[DataFrame], dfOpt2: Option[DataFrame] ): Option[DataFrame] = { (dfOpt1, dfOpt2) match { - case (Some(df1), Some(df2)) => Some(df1 unionAll df2) + case (Some(df1), Some(df2)) => Some(unionByName(df1, df2)) case (Some(df1), _) => dfOpt1 case (_, Some(df2)) => dfOpt2 case _ => None } } + private def unionByName(a: DataFrame, b: DataFrame): DataFrame = { + val columns = a.columns.toSet.intersect(b.columns.toSet).map(col).toSeq + a.select(columns: _*).unionAll(b.select(columns: _*)) + } + private def cleanOutTimePartitions(path: String, outTime: Long, partitionOpt: Option[String], func: (Long, Long) => Boolean ): Unit = { diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala index dcb02f68c..438595bef 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/engine/SparkSqlEngine.scala @@ -48,7 +48,7 @@ case class SparkSqlEngine(sqlContext: SQLContext) extends SparkDqEngine { } else sqlContext.sql(rule) // println(name) -// rdf.show(10) +// rdf.show(3) if (rs.isGlobal) { if (rs.needCache) DataFrameCaches.cacheGlobalDataFrame(name, rdf) From cc640b39e80d7660c1c98ebd86beb880387aa4b2 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 21 Mar 2018 12:01:19 +0800 Subject: [PATCH 167/177] data frame merge in util --- .../measure/data/source/DataSource.scala | 51 ++++++++++--------- .../data/source/cache/DataSourceCache.scala | 29 ++++++----- .../griffin/measure/utils/DataFrameUtil.scala | 41 +++++++++++++++ 3 files changed, 82 insertions(+), 39 deletions(-) create mode 100644 measure/src/main/scala/org/apache/griffin/measure/utils/DataFrameUtil.scala diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala index 9a4b6408c..b4324dd2f 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/DataSource.scala @@ -28,6 +28,7 @@ import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters, import org.apache.griffin.measure.rule.plan.TimeInfo import org.apache.spark.rdd.RDD import org.apache.spark.sql.{DataFrame, Row, SQLContext} +import org.apache.griffin.measure.utils.DataFrameUtil._ case class DataSource(sqlContext: SQLContext, name: String, @@ -89,31 +90,31 @@ case class DataSource(sqlContext: SQLContext, } } - private def unionDfOpts(dfOpt1: Option[DataFrame], dfOpt2: Option[DataFrame] - ): Option[DataFrame] = { - (dfOpt1, dfOpt2) match { - case (Some(df1), Some(df2)) => Some(unionDataFrames(df1, df2)) - case (Some(df1), _) => dfOpt1 - case (_, Some(df2)) => dfOpt2 - case _ => None - } - } - - private def unionDataFrames(df1: DataFrame, df2: DataFrame): DataFrame = { - try { - val cols = df1.columns - val rdd2 = df2.map{ row => - val values = cols.map { col => - row.getAs[Any](col) - } - Row(values: _*) - } - val ndf2 = sqlContext.createDataFrame(rdd2, df1.schema) - df1 unionAll ndf2 - } catch { - case e: Throwable => df1 - } - } +// private def unionDfOpts(dfOpt1: Option[DataFrame], dfOpt2: Option[DataFrame] +// ): Option[DataFrame] = { +// (dfOpt1, dfOpt2) match { +// case (Some(df1), Some(df2)) => Some(unionDataFrames(df1, df2)) +// case (Some(df1), _) => dfOpt1 +// case (_, Some(df2)) => dfOpt2 +// case _ => None +// } +// } +// +// private def unionDataFrames(df1: DataFrame, df2: DataFrame): DataFrame = { +// try { +// val cols = df1.columns +// val rdd2 = df2.map{ row => +// val values = cols.map { col => +// row.getAs[Any](col) +// } +// Row(values: _*) +// } +// val ndf2 = sqlContext.createDataFrame(rdd2, df1.schema) +// df1 unionAll ndf2 +// } catch { +// case e: Throwable => df1 +// } +// } def updateData(df: DataFrame): Unit = { dataSourceCacheOpt.foreach(_.updateData(Some(df))) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala index 32821a361..241213011 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/source/cache/DataSourceCache.scala @@ -29,6 +29,7 @@ import org.apache.griffin.measure.utils.{HdfsUtil, TimeUtil} import org.apache.griffin.measure.utils.ParamUtil._ import org.apache.spark.sql._ import org.apache.spark.sql.functions.col +import org.apache.griffin.measure.utils.DataFrameUtil._ import scala.util.Random @@ -196,20 +197,20 @@ trait DataSourceCache extends DataCacheable with WithFanIn[Long] with Loggable w (cacheDfOpt, retTimeRange) } - private def unionDfOpts(dfOpt1: Option[DataFrame], dfOpt2: Option[DataFrame] - ): Option[DataFrame] = { - (dfOpt1, dfOpt2) match { - case (Some(df1), Some(df2)) => Some(unionByName(df1, df2)) - case (Some(df1), _) => dfOpt1 - case (_, Some(df2)) => dfOpt2 - case _ => None - } - } - - private def unionByName(a: DataFrame, b: DataFrame): DataFrame = { - val columns = a.columns.toSet.intersect(b.columns.toSet).map(col).toSeq - a.select(columns: _*).unionAll(b.select(columns: _*)) - } +// private def unionDfOpts(dfOpt1: Option[DataFrame], dfOpt2: Option[DataFrame] +// ): Option[DataFrame] = { +// (dfOpt1, dfOpt2) match { +// case (Some(df1), Some(df2)) => Some(unionByName(df1, df2)) +// case (Some(df1), _) => dfOpt1 +// case (_, Some(df2)) => dfOpt2 +// case _ => None +// } +// } +// +// private def unionByName(a: DataFrame, b: DataFrame): DataFrame = { +// val columns = a.columns.toSet.intersect(b.columns.toSet).map(col).toSeq +// a.select(columns: _*).unionAll(b.select(columns: _*)) +// } private def cleanOutTimePartitions(path: String, outTime: Long, partitionOpt: Option[String], func: (Long, Long) => Boolean diff --git a/measure/src/main/scala/org/apache/griffin/measure/utils/DataFrameUtil.scala b/measure/src/main/scala/org/apache/griffin/measure/utils/DataFrameUtil.scala new file mode 100644 index 000000000..939016095 --- /dev/null +++ b/measure/src/main/scala/org/apache/griffin/measure/utils/DataFrameUtil.scala @@ -0,0 +1,41 @@ +/* +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +*/ +package org.apache.griffin.measure.utils + +import org.apache.spark.sql.DataFrame +import org.apache.spark.sql.functions._ + +object DataFrameUtil { + + def unionDfOpts(dfOpt1: Option[DataFrame], dfOpt2: Option[DataFrame] + ): Option[DataFrame] = { + (dfOpt1, dfOpt2) match { + case (Some(df1), Some(df2)) => Some(unionByName(df1, df2)) + case (Some(df1), _) => dfOpt1 + case (_, Some(df2)) => dfOpt2 + case _ => None + } + } + + def unionByName(a: DataFrame, b: DataFrame): DataFrame = { + val columns = a.columns.toSet.intersect(b.columns.toSet).map(col).toSeq + a.select(columns: _*).unionAll(b.select(columns: _*)) + } + +} From 03b16d4f63c224413ee2e5a5a4862013fa608e0b Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 21 Mar 2018 16:01:17 +0800 Subject: [PATCH 168/177] merge with multiple streaming data connector and union dataframe by column name --- measure/pom.xml | 29 -- .../data/connector/DataConnectorFactory.scala | 28 +- .../RheosStreamingDataConnector.scala | 196 -------- .../streaming/kafka/CachedRheosConsumer.scala | 187 ------- .../streaming/kafka/ConsumerStrategy.scala | 474 ------------------ .../kafka/DirectRheosInputDStream.scala | 310 ------------ .../streaming/kafka/KafkaTestUtils.scala | 271 ---------- .../streaming/kafka/LocationStrategy.scala | 84 ---- .../spark/streaming/kafka/OffsetRange.scala | 152 ------ .../spark/streaming/kafka/RheosRDD.scala | 230 --------- .../streaming/kafka/RheosRDDPartition.scala | 44 -- .../spark/streaming/kafka/RheosUtils.scala | 245 --------- .../spark/streaming/kafka/WaltzConstant.scala | 54 -- .../spark/streaming/kafka/package-info.java | 21 - .../spark/streaming/kafka/package.scala | 23 - 15 files changed, 1 insertion(+), 2347 deletions(-) delete mode 100644 measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/CachedRheosConsumer.scala delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/ConsumerStrategy.scala delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/DirectRheosInputDStream.scala delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaTestUtils.scala delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/LocationStrategy.scala delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/OffsetRange.scala delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDD.scala delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDDPartition.scala delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/RheosUtils.scala delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/WaltzConstant.scala delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/package-info.java delete mode 100644 measure/src/main/scala/org/apache/spark/streaming/kafka/package.scala diff --git a/measure/pom.xml b/measure/pom.xml index 30d5c7fcf..5845eb435 100644 --- a/measure/pom.xml +++ b/measure/pom.xml @@ -170,35 +170,6 @@ under the License. ${curator.version} - - - io.ebay.rheos - rheos-client - 0.0.6-SNAPSHOT - - - - - - - - - - - - - - - com.ebay.crawler.streaming.rheos - rheos-streaming-beans - 0.0.1 - - - com.ebay.crawler.streaming.rheos - rheos-streaming-common - 0.0.1 - - junit diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala index caaf5c13d..27b390a42 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/data/connector/DataConnectorFactory.scala @@ -20,7 +20,7 @@ package org.apache.griffin.measure.data.connector import kafka.serializer.StringDecoder import org.apache.griffin.measure.config.params.user._ -import org.apache.griffin.measure.data.connector.streaming.{KafkaStreamingDataConnector, KafkaStreamingStringDataConnector, RheosStreamingDataConnector, StreamingDataConnector} +import org.apache.griffin.measure.data.connector.streaming.{KafkaStreamingDataConnector, KafkaStreamingStringDataConnector, StreamingDataConnector} import org.apache.griffin.measure.process.engine.{DqEngine, DqEngines} import org.apache.spark.rdd.RDD import org.apache.spark.sql.DataFrame @@ -44,7 +44,6 @@ object DataConnectorFactory { val TextDirRegex = """^(?i)text-dir$""".r val KafkaRegex = """^(?i)kafka$""".r - val RheosRegex = """^(?i)rheos$""".r val TextRegex = """^(?i)text$""".r @@ -64,9 +63,6 @@ object DataConnectorFactory { case KafkaRegex() => { getStreamingDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) } - case RheosRegex() => { - getStreamingDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) - } case _ => throw new Exception("connector creation error!") } } @@ -82,7 +78,6 @@ object DataConnectorFactory { val version = dataConnectorParam.version conType match { case KafkaRegex() => genKafkaDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) - case RheosRegex() => genRheosDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) case _ => throw new Exception("streaming connector creation error!") } } @@ -123,27 +118,6 @@ object DataConnectorFactory { } } - private def genRheosDataConnector(sqlContext: SQLContext, - @transient ssc: StreamingContext, - dqEngines: DqEngines, - dataConnectorParam: DataConnectorParam - ) = { - RheosStreamingDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) -// val config = dataConnectorParam.config -// val KeyType = "key.type" -// val ValueType = "value.type" -// val keyType = config.getOrElse(KeyType, "java.lang.String").toString -// val valueType = config.getOrElse(ValueType, "java.lang.String").toString -// (getClassTag(keyType), getClassTag(valueType)) match { -// case (ClassTag(k: Class[String]), ClassTag(v: Class[String])) => { -// RheosStreamingDataConnector(sqlContext, ssc, dqEngines, dataConnectorParam) -// } -// case _ => { -// throw new Exception("not supported type kafka data connector") -// } -// } - } - private def getClassTag(tp: String): ClassTag[_] = { try { val clazz = Class.forName(tp) diff --git a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala b/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala deleted file mode 100644 index 1ac615d7a..000000000 --- a/measure/src/main/scala/org/apache/griffin/measure/data/connector/streaming/RheosStreamingDataConnector.scala +++ /dev/null @@ -1,196 +0,0 @@ -/* -Licensed to the Apache Software Foundation (ASF) under one -or more contributor license agreements. See the NOTICE file -distributed with this work for additional information -regarding copyright ownership. The ASF licenses this file -to you under the Apache License, Version 2.0 (the -"License"); you may not use this file except in compliance -with the License. You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, -software distributed under the License is distributed on an -"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -KIND, either express or implied. See the License for the -specific language governing permissions and limitations -under the License. -*/ -package org.apache.griffin.measure.data.connector.streaming - -//import kafka.serializer.Decoder -import io.ebay.rheos.schema.event.RheosEvent -import org.apache.griffin.measure.config.params.user.DataConnectorParam -import org.apache.griffin.measure.process.engine.DqEngines -import org.apache.kafka.clients.consumer.ConsumerRecord -import org.apache.spark.rdd.RDD -import org.apache.spark.sql.{DataFrame, Row, SQLContext} -import org.apache.spark.streaming.StreamingContext -import org.apache.spark.streaming.dstream.InputDStream -import org.apache.spark.streaming.kafka.RheosUtils - -import scala.util.{Failure, Success, Try} -import java.util.{Date, Properties} -import java.io.ByteArrayOutputStream - -import com.ebay.crawler.streaming.rheos.utils.RheosEventCodec -import org.apache.avro.Schema -import org.apache.avro.io.{EncoderFactory, JsonEncoder} -import org.apache.avro.reflect.{ReflectData, ReflectDatumWriter} -import org.apache.spark.sql.types.{StringType, StructField, StructType} - -case class RheosStreamingDataConnector(sqlContext: SQLContext, - @transient ssc: StreamingContext, - dqEngines: DqEngines, - dcParam: DataConnectorParam - ) extends StreamingDataConnector { -// type KD <: Decoder[K] -// type VD <: Decoder[V] - type K = Array[Byte] - type V = RheosEvent - type OUT = ConsumerRecord[K, V] - - val config = dcParam.config - - val KafkaConfig = "kafka.config" - val CodecConfig = "codec.config" - val Topics = "topics" - val DataClass = "data.class" - - val kafkaConfig = config.get(KafkaConfig) match { - case Some(map: Map[String, Any]) => map.mapValues(_.toString).map(identity) - case _ => Map[String, String]() - } - val codecConfig = config.get(CodecConfig) match { - case Some(map: Map[String, Any]) => map.mapValues(_.toString).map(identity) - case _ => Map[String, String]() - } - val topics = config.getOrElse(Topics, "").toString - - val dataClassName = config.getOrElse(DataClass, "").toString - val dataClass = try { - Class.forName(dataClassName) - } catch { - case e: Throwable => { - throw new Exception(s"data class param error") - } - } - - val properties = initProperties - private def initProperties(): Properties = { - val props = new Properties() - codecConfig.foreach { pair => - val (k, v) = pair - props.put(k, v) - } - props - } - - val valueColName = "value" - val schema = StructType(Array( - StructField(valueColName, StringType) - )) - - def available(): Boolean = { - true - } - - def init(): Unit = { - // register fan in - dataSourceCacheOpt.foreach(_.registerFanIn) - - val ds = stream match { - case Success(dstream) => dstream - case Failure(ex) => throw ex - } - ds.foreachRDD((rdd, time) => { - val ms = time.milliseconds - - val t1 = new Date().getTime - - val saveDfOpt = try { - // coalesce partition number - val prlCount = rdd.sparkContext.defaultParallelism -// val ptnCount = rdd.getNumPartitions -// val repartitionedRdd = if (prlCount < ptnCount) { -//// rdd.coalesce(prlCount) -// rdd.repartition(prlCount) -// } else rdd - val repartitionedRdd = rdd.repartition(prlCount) - - val cnt = rdd.count - println(s"rheos receive data [${ms}] count: ${cnt}") - - val dfOpt = transform(repartitionedRdd) - - preProcess(dfOpt, ms) - } catch { - case e: Throwable => { - error(s"streaming data connector error: ${e.getMessage}") - None - } - } - - val t2 = new Date().getTime - println(s"rheos transform time: ${t2 - t1} ms") - - // save data frame - dataSourceCacheOpt.foreach(_.saveData(saveDfOpt, ms)) - - val t3 = new Date().getTime - println(s"rheos save time: ${t3 - t2} ms") - }) - } - - def stream(): Try[InputDStream[OUT]] = Try { - val topicSet = topics.split(",").toSet - createDStream(topicSet) - } - - protected def createDStream(topicSet: Set[String]): InputDStream[OUT] = { - import scala.collection.JavaConversions._ - RheosUtils.createRheosDirectStream(ssc, kafkaConfig, topicSet) - } - - def transform(rdd: RDD[OUT]): Option[DataFrame] = { - // to reduce rdd partitions from rheos, to ignore multiple codec http request, which brings lots of exceptions. -// val calcRdd = rdd.repartition(4) - - if (rdd.isEmpty) None else { - val rowRdd: RDD[Row] = rdd.mapPartitions { items => - val codec: RheosEventCodec = new RheosEventCodec(properties) - val schema: Schema = ReflectData.get.getSchema(dataClass) - items.flatMap { out => - try { - val v = out.value - val value = codec.decodeFromRheosEvent(v, dataClass) - val msg = stringifyGenericRecord(value, schema) - Some(Row(msg)) - } catch { - case e: Throwable => None - } - } - } - - try { - val df = sqlContext.createDataFrame(rowRdd, schema) - Some(df) - } catch { - case e: Throwable => { - error(s"streaming data transform fails") - None - } - } - } - } - - private def stringifyGenericRecord[T](record: T, schema: Schema): String = { - val out: ByteArrayOutputStream = new ByteArrayOutputStream - val encoder: JsonEncoder = EncoderFactory.get.jsonEncoder(schema, out) - val writer: ReflectDatumWriter[T] = new ReflectDatumWriter[T](schema) - writer.write(record, encoder) - encoder.flush() - out.toString - } - -} \ No newline at end of file diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/CachedRheosConsumer.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/CachedRheosConsumer.scala deleted file mode 100644 index cd20b6a51..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/CachedRheosConsumer.scala +++ /dev/null @@ -1,187 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.spark.streaming.kafka - -import java.{util => ju} - -import org.apache.kafka.clients.consumer.{ConsumerConfig, ConsumerRecord, KafkaConsumer} -import org.apache.kafka.common.{KafkaException, TopicPartition} -import org.apache.spark.Logging - - -/** - * Consumer of single topicpartition, intended for cached reuse. - * Underlying consumer is not threadsafe, so neither is this, - * but processing the same topicpartition and group id in multiple threads is usually bad anyway. - */ -private[kafka] -class CachedRheosConsumer[K, V] private( - val groupId: String, - val topic: String, - val partition: Int, - val kafkaParams: ju.Map[String, Object]) extends Logging { - - assert(groupId == kafkaParams.get(ConsumerConfig.GROUP_ID_CONFIG), - "groupId used for cache key must match the groupId in kafkaParams") - - val topicPartition = new TopicPartition(topic, partition) - - protected val consumer = { - val c = new KafkaConsumer[K, V](kafkaParams) - val tps = new ju.ArrayList[TopicPartition]() - tps.add(topicPartition) - c.assign(tps) - c - } - - // TODO if the buffer was kept around as a random-access structure, - // could possibly optimize re-calculating of an RDD in the same batch - protected var buffer = ju.Collections.emptyList[ConsumerRecord[K, V]]().iterator - protected var nextOffset = -2L - - def close(): Unit = consumer.close() - - /** - * Get the record for the given offset, waiting up to timeout ms if IO is necessary. - * Sequential forward access will use buffers, but random access will be horribly inefficient. - */ - def get(offset: Long, timeout: Long): ConsumerRecord[K, V] = { - logDebug(s"Get $groupId $topic $partition nextOffset $nextOffset requested $offset") - if (offset != nextOffset) { - logInfo(s"Initial fetch for $groupId $topic $partition $offset") - seek(offset) - poll(timeout) - } - - if (!buffer.hasNext()) { poll(timeout) } - assert(buffer.hasNext(), - s"Failed to get records for $groupId $topic $partition $offset after polling for $timeout") - var record = buffer.next() - - if (record.offset != offset) { - logInfo(s"Buffer miss for $groupId $topic $partition $offset") - seek(offset) - poll(timeout) - assert(buffer.hasNext(), - s"Failed to get records for $groupId $topic $partition $offset after polling for $timeout") - record = buffer.next() - assert(record.offset == offset, - s"Got wrong record for $groupId $topic $partition even after seeking to offset $offset") - } - - nextOffset = offset + 1 - record - } - - private def seek(offset: Long): Unit = { - logDebug(s"Seeking to $topicPartition $offset") - consumer.seek(topicPartition, offset) - } - - private def poll(timeout: Long): Unit = { - val p = consumer.poll(timeout) - val r = p.records(topicPartition) - logDebug(s"Polled ${p.partitions()} ${r.size}") - buffer = r.iterator - } - -} - -private[kafka] -object CachedRheosConsumer extends Logging { - - private case class CacheKey(groupId: String, topic: String, partition: Int) - - // Don't want to depend on guava, don't want a cleanup thread, use a simple LinkedHashMap - private var cache: ju.LinkedHashMap[CacheKey, CachedRheosConsumer[_, _]] = null - - /** Must be called before get, once per JVM, to configure the cache. Further calls are ignored */ - def init( - initialCapacity: Int, - maxCapacity: Int, - loadFactor: Float): Unit = CachedRheosConsumer.synchronized { - if (null == cache) { - logInfo(s"Initializing cache $initialCapacity $maxCapacity $loadFactor") - cache = new ju.LinkedHashMap[CacheKey, CachedRheosConsumer[_, _]]( - initialCapacity, loadFactor, true) { - override def removeEldestEntry( - entry: ju.Map.Entry[CacheKey, CachedRheosConsumer[_, _]]): Boolean = { - if (this.size > maxCapacity) { - try { - entry.getValue.consumer.close() - } catch { - case x: KafkaException => - logError("Error closing oldest Kafka consumer", x) - } - true - } else { - false - } - } - } - } - } - - /** - * Get a cached consumer for groupId, assigned to topic and partition. - * If matching consumer doesn't already exist, will be created using kafkaParams. - */ - def get[K, V]( - groupId: String, - topic: String, - partition: Int, - kafkaParams: ju.Map[String, Object]): CachedRheosConsumer[K, V] = - CachedRheosConsumer.synchronized { - val k = CacheKey(groupId, topic, partition) - val v = cache.get(k) - if (null == v) { - logInfo(s"Cache miss for $k") - logDebug(cache.keySet.toString) - val c = new CachedRheosConsumer[K, V](groupId, topic, partition, kafkaParams) - cache.put(k, c) - c - } else { - // any given topicpartition should have a consistent key and value type - v.asInstanceOf[CachedRheosConsumer[K, V]] - } - } - - /** - * Get a fresh new instance, unassociated with the global cache. - * Caller is responsible for closing - */ - def getUncached[K, V]( - groupId: String, - topic: String, - partition: Int, - kafkaParams: ju.Map[String, Object]): CachedRheosConsumer[K, V] = - new CachedRheosConsumer[K, V](groupId, topic, partition, kafkaParams) - - /** remove consumer for given groupId, topic, and partition, if it exists */ - def remove(groupId: String, topic: String, partition: Int): Unit = { - val k = CacheKey(groupId, topic, partition) - logInfo(s"Removing $k from cache") - val v = CachedRheosConsumer.synchronized { - cache.remove(k) - } - if (null != v) { - v.close() - logInfo(s"Removed $k from cache") - } - } -} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/ConsumerStrategy.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/ConsumerStrategy.scala deleted file mode 100644 index 0e242e6a4..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/ConsumerStrategy.scala +++ /dev/null @@ -1,474 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.spark.streaming.kafka - -import java.{lang => jl, util => ju} - -import org.apache.kafka.clients.consumer._ -import org.apache.kafka.clients.consumer.internals.NoOpConsumerRebalanceListener -import org.apache.kafka.common.TopicPartition -import org.apache.spark.Logging -import org.apache.spark.annotation.Experimental - -import scala.collection.JavaConverters._ - -/** - * :: Experimental :: - * Choice of how to create and configure underlying Kafka Consumers on driver and executors. - * See [[ConsumerStrategies]] to obtain instances. - * Kafka 0.10 consumers can require additional, sometimes complex, setup after object - * instantiation. This interface encapsulates that process, and allows it to be checkpointed. - * @tparam K type of Kafka message key - * @tparam V type of Kafka message value - */ -@Experimental -abstract class ConsumerStrategy[K, V] { - /** - * Kafka - * configuration parameters to be used on executors. Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - */ - def executorKafkaParams: ju.Map[String, Object] - - /** - * Must return a fully configured Kafka Consumer, including subscribed or assigned topics. - * See Kafka docs. - * This consumer will be used on the driver to query for offsets only, not messages. - * The consumer must be returned in a state that it is safe to call poll(0) on. - * @param currentOffsets A map from TopicPartition to offset, indicating how far the driver - * has successfully read. Will be empty on initial start, possibly non-empty on restart from - * checkpoint. - */ - def onStart(currentOffsets: ju.Map[TopicPartition, jl.Long]): Consumer[K, V] -} - -/** - * Subscribe to a collection of topics. - * @param topics collection of topics to subscribe - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsets: offsets to begin at on initial startup. If no offset is given for a - * TopicPartition, the committed offset (if applicable) or kafka param - * auto.offset.reset will be used. - */ -private case class Subscribe[K, V]( - topics: ju.Collection[jl.String], - kafkaParams: ju.Map[String, Object], - offsets: ju.Map[TopicPartition, jl.Long] - ) extends ConsumerStrategy[K, V] with Logging { - - def executorKafkaParams: ju.Map[String, Object] = kafkaParams - - def onStart(currentOffsets: ju.Map[TopicPartition, jl.Long]): Consumer[K, V] = { - val consumer = new KafkaConsumer[K, V](kafkaParams) - consumer.subscribe(topics) - val toSeek = if (currentOffsets.isEmpty) { - offsets - } else { - currentOffsets - } - if (!toSeek.isEmpty) { - // work around KAFKA-3370 when reset is none - // poll will throw if no position, i.e. auto offset reset none and no explicit position - // but cant seek to a position before poll, because poll is what gets subscription partitions - // So, poll, suppress the first exception, then seek - val aor = kafkaParams.get(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG) - val shouldSuppress = aor != null && aor.asInstanceOf[String].toUpperCase == "NONE" - try { - consumer.poll(0) - } catch { - case x: NoOffsetForPartitionException if shouldSuppress => - logWarning("Catching NoOffsetForPartitionException since " + - ConsumerConfig.AUTO_OFFSET_RESET_CONFIG + " is none. See KAFKA-3370") - } - toSeek.asScala.foreach { case (topicPartition, offset) => - consumer.seek(topicPartition, offset) - } - } - - consumer - } -} - -/** - * Subscribe to all topics matching specified pattern to get dynamically assigned partitions. - * The pattern matching will be done periodically against topics existing at the time of check. - * @param pattern pattern to subscribe to - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsets: offsets to begin at on initial startup. If no offset is given for a - * TopicPartition, the committed offset (if applicable) or kafka param - * auto.offset.reset will be used. - */ -private case class SubscribePattern[K, V]( - pattern: ju.regex.Pattern, - kafkaParams: ju.Map[String, Object], - offsets: ju.Map[TopicPartition, jl.Long] - ) extends ConsumerStrategy[K, V] with Logging { - - def executorKafkaParams: ju.Map[String, Object] = kafkaParams - - def onStart(currentOffsets: ju.Map[TopicPartition, jl.Long]): Consumer[K, V] = { - val consumer = new KafkaConsumer[K, V](kafkaParams) - consumer.subscribe(pattern, new NoOpConsumerRebalanceListener()) - val toSeek = if (currentOffsets.isEmpty) { - offsets - } else { - currentOffsets - } - if (!toSeek.isEmpty) { - // work around KAFKA-3370 when reset is none, see explanation in Subscribe above - val aor = kafkaParams.get(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG) - val shouldSuppress = aor != null && aor.asInstanceOf[String].toUpperCase == "NONE" - try { - consumer.poll(0) - } catch { - case x: NoOffsetForPartitionException if shouldSuppress => - logWarning("Catching NoOffsetForPartitionException since " + - ConsumerConfig.AUTO_OFFSET_RESET_CONFIG + " is none. See KAFKA-3370") - } - toSeek.asScala.foreach { case (topicPartition, offset) => - consumer.seek(topicPartition, offset) - } - } - - consumer - } -} - -/** - * Assign a fixed collection of TopicPartitions - * @param topicPartitions collection of TopicPartitions to assign - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsets: offsets to begin at on initial startup. If no offset is given for a - * TopicPartition, the committed offset (if applicable) or kafka param - * auto.offset.reset will be used. - */ -private case class Assign[K, V]( - topicPartitions: ju.Collection[TopicPartition], - kafkaParams: ju.Map[String, Object], - offsets: ju.Map[TopicPartition, jl.Long] - ) extends ConsumerStrategy[K, V] with Logging { - - def executorKafkaParams: ju.Map[String, Object] = kafkaParams - - def onStart(currentOffsets: ju.Map[TopicPartition, jl.Long]): Consumer[K, V] = { - val consumer = new KafkaConsumer[K, V](kafkaParams) - consumer.assign(topicPartitions) - val toSeek = if (currentOffsets.isEmpty) { - offsets - } else { - currentOffsets - } - if (!toSeek.isEmpty) { - // this doesn't need a KAFKA-3370 workaround, because partitions are known, no poll needed - - toSeek.asScala.foreach { case (topicPartition, offset) => - consumer.seek(topicPartition, offset) - } - - } - - consumer - } -} - -/** - * :: Experimental :: - * object for obtaining instances of [[ConsumerStrategy]] - */ -@Experimental -object ConsumerStrategies { - /** - * :: Experimental :: - * Subscribe to a collection of topics. - * @param topics collection of topics to subscribe - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsets: offsets to begin at on initial startup. If no offset is given for a - * TopicPartition, the committed offset (if applicable) or kafka param - * auto.offset.reset will be used. - */ - @Experimental - def Subscribe[K, V]( - topics: Iterable[jl.String], - kafkaParams: collection.Map[String, Object], - offsets: collection.Map[TopicPartition, Long]): ConsumerStrategy[K, V] = { - new Subscribe[K, V]( - new ju.ArrayList(topics.asJavaCollection), - new ju.HashMap[String, Object](kafkaParams.asJava), - new ju.HashMap[TopicPartition, jl.Long](offsets.mapValues(l => new jl.Long(l)).asJava)) - } - - /** - * :: Experimental :: - * Subscribe to a collection of topics. - * @param topics collection of topics to subscribe - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - */ - @Experimental - def Subscribe[K, V]( - topics: Iterable[jl.String], - kafkaParams: collection.Map[String, Object]): ConsumerStrategy[K, V] = { - new Subscribe[K, V]( - new ju.ArrayList(topics.asJavaCollection), - new ju.HashMap[String, Object](kafkaParams.asJava), - ju.Collections.emptyMap[TopicPartition, jl.Long]()) - } - - /** - * :: Experimental :: - * Subscribe to a collection of topics. - * @param topics collection of topics to subscribe - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsets: offsets to begin at on initial startup. If no offset is given for a - * TopicPartition, the committed offset (if applicable) or kafka param - * auto.offset.reset will be used. - */ - @Experimental - def Subscribe[K, V]( - topics: ju.Collection[jl.String], - kafkaParams: ju.Map[String, Object], - offsets: ju.Map[TopicPartition, jl.Long]): ConsumerStrategy[K, V] = { - new Subscribe[K, V](topics, kafkaParams, offsets) - } - - /** - * :: Experimental :: - * Subscribe to a collection of topics. - * @param topics collection of topics to subscribe - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - */ - @Experimental - def Subscribe[K, V]( - topics: ju.Collection[jl.String], - kafkaParams: ju.Map[String, Object]): ConsumerStrategy[K, V] = { - new Subscribe[K, V](topics, kafkaParams, ju.Collections.emptyMap[TopicPartition, jl.Long]()) - } - - /** :: Experimental :: - * Subscribe to all topics matching specified pattern to get dynamically assigned partitions. - * The pattern matching will be done periodically against topics existing at the time of check. - * @param pattern pattern to subscribe to - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsets: offsets to begin at on initial startup. If no offset is given for a - * TopicPartition, the committed offset (if applicable) or kafka param - * auto.offset.reset will be used. - */ - @Experimental - def SubscribePattern[K, V]( - pattern: ju.regex.Pattern, - kafkaParams: collection.Map[String, Object], - offsets: collection.Map[TopicPartition, Long]): ConsumerStrategy[K, V] = { - new SubscribePattern[K, V]( - pattern, - new ju.HashMap[String, Object](kafkaParams.asJava), - new ju.HashMap[TopicPartition, jl.Long](offsets.mapValues(l => new jl.Long(l)).asJava)) - } - - /** :: Experimental :: - * Subscribe to all topics matching specified pattern to get dynamically assigned partitions. - * The pattern matching will be done periodically against topics existing at the time of check. - * @param pattern pattern to subscribe to - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - */ - @Experimental - def SubscribePattern[K, V]( - pattern: ju.regex.Pattern, - kafkaParams: collection.Map[String, Object]): ConsumerStrategy[K, V] = { - new SubscribePattern[K, V]( - pattern, - new ju.HashMap[String, Object](kafkaParams.asJava), - ju.Collections.emptyMap[TopicPartition, jl.Long]()) - } - - /** :: Experimental :: - * Subscribe to all topics matching specified pattern to get dynamically assigned partitions. - * The pattern matching will be done periodically against topics existing at the time of check. - * @param pattern pattern to subscribe to - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsets: offsets to begin at on initial startup. If no offset is given for a - * TopicPartition, the committed offset (if applicable) or kafka param - * auto.offset.reset will be used. - */ - @Experimental - def SubscribePattern[K, V]( - pattern: ju.regex.Pattern, - kafkaParams: ju.Map[String, Object], - offsets: ju.Map[TopicPartition, jl.Long]): ConsumerStrategy[K, V] = { - new SubscribePattern[K, V](pattern, kafkaParams, offsets) - } - - /** :: Experimental :: - * Subscribe to all topics matching specified pattern to get dynamically assigned partitions. - * The pattern matching will be done periodically against topics existing at the time of check. - * @param pattern pattern to subscribe to - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - */ - @Experimental - def SubscribePattern[K, V]( - pattern: ju.regex.Pattern, - kafkaParams: ju.Map[String, Object]): ConsumerStrategy[K, V] = { - new SubscribePattern[K, V]( - pattern, - kafkaParams, - ju.Collections.emptyMap[TopicPartition, jl.Long]()) - } - - /** - * :: Experimental :: - * Assign a fixed collection of TopicPartitions - * @param topicPartitions collection of TopicPartitions to assign - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsets: offsets to begin at on initial startup. If no offset is given for a - * TopicPartition, the committed offset (if applicable) or kafka param - * auto.offset.reset will be used. - */ - @Experimental - def Assign[K, V]( - topicPartitions: Iterable[TopicPartition], - kafkaParams: collection.Map[String, Object], - offsets: collection.Map[TopicPartition, Long]): ConsumerStrategy[K, V] = { - new Assign[K, V]( - new ju.ArrayList(topicPartitions.asJavaCollection), - new ju.HashMap[String, Object](kafkaParams.asJava), - new ju.HashMap[TopicPartition, jl.Long](offsets.mapValues(l => new jl.Long(l)).asJava)) - } - - /** - * :: Experimental :: - * Assign a fixed collection of TopicPartitions - * @param topicPartitions collection of TopicPartitions to assign - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - */ - @Experimental - def Assign[K, V]( - topicPartitions: Iterable[TopicPartition], - kafkaParams: collection.Map[String, Object]): ConsumerStrategy[K, V] = { - new Assign[K, V]( - new ju.ArrayList(topicPartitions.asJavaCollection), - new ju.HashMap[String, Object](kafkaParams.asJava), - ju.Collections.emptyMap[TopicPartition, jl.Long]()) - } - - /** - * :: Experimental :: - * Assign a fixed collection of TopicPartitions - * @param topicPartitions collection of TopicPartitions to assign - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsets: offsets to begin at on initial startup. If no offset is given for a - * TopicPartition, the committed offset (if applicable) or kafka param - * auto.offset.reset will be used. - */ - @Experimental - def Assign[K, V]( - topicPartitions: ju.Collection[TopicPartition], - kafkaParams: ju.Map[String, Object], - offsets: ju.Map[TopicPartition, jl.Long]): ConsumerStrategy[K, V] = { - new Assign[K, V](topicPartitions, kafkaParams, offsets) - } - - /** - * :: Experimental :: - * Assign a fixed collection of TopicPartitions - * @param topicPartitions collection of TopicPartitions to assign - * @param kafkaParams Kafka - * - * configuration parameters to be used on driver. The same params will be used on executors, - * with minor automatic modifications applied. - * Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - */ - @Experimental - def Assign[K, V]( - topicPartitions: ju.Collection[TopicPartition], - kafkaParams: ju.Map[String, Object]): ConsumerStrategy[K, V] = { - new Assign[K, V]( - topicPartitions, - kafkaParams, - ju.Collections.emptyMap[TopicPartition, jl.Long]()) - } - -} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/DirectRheosInputDStream.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/DirectRheosInputDStream.scala deleted file mode 100644 index fa45220ef..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/DirectRheosInputDStream.scala +++ /dev/null @@ -1,310 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.spark.streaming.kafka - -import java.util.concurrent.ConcurrentLinkedQueue -import java.util.concurrent.atomic.AtomicReference -import java.{util => ju} - -import org.apache.kafka.clients.consumer._ -import org.apache.kafka.common.TopicPartition -import org.apache.spark.Logging -import org.apache.spark.storage.StorageLevel -import org.apache.spark.streaming.dstream._ -import org.apache.spark.streaming.scheduler.rate.RateEstimator -import org.apache.spark.streaming.scheduler.{RateController, StreamInputInfo} -import org.apache.spark.streaming.{StreamingContext, Time} - -import scala.collection.JavaConverters._ -import scala.collection.mutable - -/** - * A DStream where - * each given Kafka topic/partition corresponds to an RDD partition. - * The spark configuration spark.streaming.kafka.maxRatePerPartition gives the maximum number - * of messages - * per second that each '''partition''' will accept. - * @param locationStrategy In most cases, pass in [[PreferConsistent]], - * see [[LocationStrategy]] for more details. - * @param consumerStrategy In most cases, pass in [[Subscribe]], - * see [[ConsumerStrategy]] for more details - * @tparam K type of Kafka message key - * @tparam V type of Kafka message value - */ -class DirectRheosInputDStream[K, V]( - _ssc: StreamingContext, - locationStrategy: LocationStrategy, - consumerStrategy: ConsumerStrategy[K, V] - ) extends InputDStream[ConsumerRecord[K, V]](_ssc) with Logging with CanCommitOffsets { - - val executorKafkaParams = { - val ekp = new ju.HashMap[String, Object](consumerStrategy.executorKafkaParams) - RheosUtils.fixKafkaParams(ekp) - ekp - } - - protected var currentOffsets = Map[TopicPartition, Long]() - - @transient private var kc: Consumer[K, V] = null - def consumer(): Consumer[K, V] = this.synchronized { - if (null == kc) { - kc = consumerStrategy.onStart(currentOffsets.mapValues(l => new java.lang.Long(l)).asJava) - } - kc - } - - override def persist(newLevel: StorageLevel): DStream[ConsumerRecord[K, V]] = { - logError("Kafka ConsumerRecord is not serializable. " + - "Use .map to extract fields before calling .persist or .window") - super.persist(newLevel) - } - - protected def getBrokers = { - val c = consumer - val result = new ju.HashMap[TopicPartition, String]() - val hosts = new ju.HashMap[TopicPartition, String]() - val assignments = c.assignment().iterator() - while (assignments.hasNext()) { - val tp: TopicPartition = assignments.next() - if (null == hosts.get(tp)) { - val infos = c.partitionsFor(tp.topic).iterator() - while (infos.hasNext()) { - val i = infos.next() - hosts.put(new TopicPartition(i.topic(), i.partition()), i.leader.host()) - } - } - result.put(tp, hosts.get(tp)) - } - result - } - - protected def getPreferredHosts: ju.Map[TopicPartition, String] = { - locationStrategy match { - case PreferBrokers => getBrokers - case PreferConsistent => ju.Collections.emptyMap[TopicPartition, String]() - case PreferFixed(hostMap) => hostMap - } - } - - // Keep this consistent with how other streams are named (e.g. "Flume polling stream [2]") - private[streaming] override def name: String = s"Kafka 0.10 direct stream [$id]" - - protected[streaming] override val checkpointData = - new DirectKafkaInputDStreamCheckpointData - - - /** - * Asynchronously maintains & sends new rate limits to the receiver through the receiver tracker. - */ - override protected[streaming] val rateController: Option[RateController] = { - if (RateController.isBackPressureEnabled(ssc.conf)) { - Some(new DirectKafkaRateController(id, - RateEstimator.create(ssc.conf, context.graph.batchDuration))) - } else { - None - } - } - - private val maxRateLimitPerPartition: Int = context.sparkContext.getConf.getInt( - "spark.streaming.kafka.maxRatePerPartition", 0) - - protected[streaming] def maxMessagesPerPartition( - offsets: Map[TopicPartition, Long]): Option[Map[TopicPartition, Long]] = { - val estimatedRateLimit = rateController.map(_.getLatestRate().toInt) - - // calculate a per-partition rate limit based on current lag - val effectiveRateLimitPerPartition = estimatedRateLimit.filter(_ > 0) match { - case Some(rate) => - val lagPerPartition = offsets.map { case (tp, offset) => - tp -> Math.max(offset - currentOffsets(tp), 0) - } - val totalLag = lagPerPartition.values.sum - - lagPerPartition.map { case (tp, lag) => - val backpressureRate = Math.round(lag / totalLag.toFloat * rate) - tp -> (if (maxRateLimitPerPartition > 0) { - Math.min(backpressureRate, maxRateLimitPerPartition)} else backpressureRate) - } - case None => offsets.map { case (tp, offset) => tp -> maxRateLimitPerPartition } - } - - if (effectiveRateLimitPerPartition.values.sum > 0) { - val secsPerBatch = context.graph.batchDuration.milliseconds.toDouble / 1000 - Some(effectiveRateLimitPerPartition.map { - case (tp, limit) => tp -> (secsPerBatch * limit).toLong - }) - } else { - None - } - } - - /** - * Returns the latest (highest) available offsets, taking new partitions into account. - */ - protected def latestOffsets(): Map[TopicPartition, Long] = { - val c = consumer - c.poll(0) - val parts = c.assignment().asScala - - // make sure new partitions are reflected in currentOffsets - val newPartitions = parts.diff(currentOffsets.keySet) - // position for new partitions determined by auto.offset.reset if no commit - currentOffsets = currentOffsets ++ newPartitions.map(tp => tp -> c.position(tp)).toMap - // don't want to consume messages, so pause - c.pause(newPartitions.asJava) - // find latest available offsets - c.seekToEnd(currentOffsets.keySet.asJava) - parts.map(tp => tp -> c.position(tp)).toMap - } - - // limits the maximum number of messages per partition - protected def clamp( - offsets: Map[TopicPartition, Long]): Map[TopicPartition, Long] = { - - maxMessagesPerPartition(offsets).map { mmp => - mmp.map { case (tp, messages) => - val uo = offsets(tp) - tp -> Math.min(currentOffsets(tp) + messages, uo) - } - }.getOrElse(offsets) - } - - override def compute(validTime: Time): Option[RheosRDD[K, V]] = { - val untilOffsets = clamp(latestOffsets()) - val offsetRanges = untilOffsets.map { case (tp, uo) => - val fo = currentOffsets(tp) - OffsetRange(tp.topic, tp.partition, fo, uo) - } - val rdd = new RheosRDD[K, V]( - context.sparkContext, executorKafkaParams, offsetRanges.toArray, getPreferredHosts, true) - - // Report the record number and metadata of this batch interval to InputInfoTracker. - val description = offsetRanges.filter { offsetRange => - // Don't display empty ranges. - offsetRange.fromOffset != offsetRange.untilOffset - }.map { offsetRange => - s"topic: ${offsetRange.topic}\tpartition: ${offsetRange.partition}\t" + - s"offsets: ${offsetRange.fromOffset} to ${offsetRange.untilOffset}" - }.mkString("\n") - // Copy offsetRanges to immutable.List to prevent from being modified by the user - val metadata = Map( - "offsets" -> offsetRanges.toList, - StreamInputInfo.METADATA_KEY_DESCRIPTION -> description) - val inputInfo = StreamInputInfo(id, rdd.count, metadata) - ssc.scheduler.inputInfoTracker.reportInfo(validTime, inputInfo) - - currentOffsets = untilOffsets - commitAll() - Some(rdd) - } - - override def start(): Unit = { - val c = consumer - c.poll(0) - if (currentOffsets.isEmpty) { - currentOffsets = c.assignment().asScala.map { tp => - tp -> c.position(tp) - }.toMap - } - - // don't actually want to consume any messages, so pause all partitions - c.pause(currentOffsets.keySet.asJava) - } - - override def stop(): Unit = this.synchronized { - if (kc != null) { - kc.close() - } - } - - protected val commitQueue = new ConcurrentLinkedQueue[OffsetRange] - protected val commitCallback = new AtomicReference[OffsetCommitCallback] - - /** - * Queue up offset ranges for commit to Kafka at a future time. Threadsafe. - * @param offsetRanges The maximum untilOffset for a given partition will be used at commit. - */ - def commitAsync(offsetRanges: Array[OffsetRange]): Unit = { - commitAsync(offsetRanges, null) - } - - /** - * Queue up offset ranges for commit to Kafka at a future time. Threadsafe. - * @param offsetRanges The maximum untilOffset for a given partition will be used at commit. - * @param callback Only the most recently provided callback will be used at commit. - */ - def commitAsync(offsetRanges: Array[OffsetRange], callback: OffsetCommitCallback): Unit = { - commitCallback.set(callback) - commitQueue.addAll(ju.Arrays.asList(offsetRanges: _*)) - } - - protected def commitAll(): Unit = { - val m = new ju.HashMap[TopicPartition, OffsetAndMetadata]() - val it = commitQueue.iterator() - while (it.hasNext) { - val osr = it.next - val tp = osr.topicPartition - val x = m.get(tp) - val offset = if (null == x) { osr.untilOffset } else { Math.max(x.offset, osr.untilOffset) } - m.put(tp, new OffsetAndMetadata(offset)) - } - if (!m.isEmpty) { - consumer.commitAsync(m, commitCallback.get) - } - } - - private[streaming] - class DirectKafkaInputDStreamCheckpointData extends DStreamCheckpointData(this) { - def batchForTime: mutable.HashMap[Time, Array[(String, Int, Long, Long)]] = { - data.asInstanceOf[mutable.HashMap[Time, Array[OffsetRange.OffsetRangeTuple]]] - } - - override def update(time: Time): Unit = { - batchForTime.clear() - generatedRDDs.foreach { kv => - val a = kv._2.asInstanceOf[RheosRDD[K, V]].offsetRanges.map(_.toTuple).toArray - batchForTime += kv._1 -> a - } - } - - override def cleanup(time: Time): Unit = { } - - override def restore(): Unit = { - batchForTime.toSeq.sortBy(_._1)(Time.ordering).foreach { case (t, b) => - logInfo(s"Restoring RheosRDD for time $t ${b.mkString("[", ", ", "]")}") - generatedRDDs += t -> new RheosRDD[K, V]( - context.sparkContext, - executorKafkaParams, - b.map(OffsetRange(_)), - getPreferredHosts, - // during restore, it's possible same partition will be consumed from multiple - // threads, so dont use cache - false - ) - } - } - } - - /** - * A RateController to retrieve the rate from RateEstimator. - */ - private[streaming] class DirectKafkaRateController(id: Int, estimator: RateEstimator) - extends RateController(id, estimator) { - override def publish(rate: Long): Unit = () - } -} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaTestUtils.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaTestUtils.scala deleted file mode 100644 index 832e221e8..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/KafkaTestUtils.scala +++ /dev/null @@ -1,271 +0,0 @@ -///* -// * Licensed to the Apache Software Foundation (ASF) under one or more -// * contributor license agreements. See the NOTICE file distributed with -// * this work for additional information regarding copyright ownership. -// * The ASF licenses this file to You under the Apache License, Version 2.0 -// * (the "License"); you may not use this file except in compliance with -// * the License. You may obtain a copy of the License at -// * -// * http://www.apache.org/licenses/LICENSE-2.0 -// * -// * Unless required by applicable law or agreed to in writing, software -// * distributed under the License is distributed on an "AS IS" BASIS, -// * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// * See the License for the specific language governing permissions and -// * limitations under the License. -// */ -// -//package org.apache.spark.streaming.kafka -// -//import java.io.File -//import java.lang.{Integer => JInt} -//import java.net.InetSocketAddress -//import java.util.concurrent.TimeoutException -//import java.util.{Properties, Map => JMap} -// -//import org.apache.spark.{Logging, SparkConf} -//import org.apache.spark.streaming.Time -//import org.apache.spark.util.Utils -//import org.apache.zookeeper.server.{NIOServerCnxnFactory, ZooKeeperServer} -// -//import scala.annotation.tailrec -//import scala.collection.JavaConverters._ -//import scala.language.postfixOps -//import scala.util.control.NonFatal -//import kafka.utils.ZkUtils -// -///** -// * This is a helper class for Kafka test suites. This has the functionality to set up -// * and tear down local Kafka servers, and to push data using Kafka producers. -// * -// * The reason to put Kafka test utility class in src is to test Python related Kafka APIs. -// */ -//private[kafka] class KafkaTestUtils extends Logging { -// -// // Zookeeper related configurations -// private val zkHost = "localhost" -// private var zkPort: Int = 0 -// private val zkConnectionTimeout = 60000 -// private val zkSessionTimeout = 6000 -// -// private var zookeeper: EmbeddedZookeeper = _ -// -// private var zkUtils: ZkUtils = _ -// -// // Kafka broker related configurations -// private val brokerHost = "localhost" -// private var brokerPort = 0 -// private var brokerConf: KafkaConfig = _ -// -// // Kafka broker server -// private var server: KafkaServer = _ -// -// // Kafka producer -// private var producer: Producer[String, String] = _ -// -// // Flag to test whether the system is correctly started -// private var zkReady = false -// private var brokerReady = false -// -// def zkAddress: String = { -// assert(zkReady, "Zookeeper not setup yet or already torn down, cannot get zookeeper address") -// s"$zkHost:$zkPort" -// } -// -// def brokerAddress: String = { -// assert(brokerReady, "Kafka not setup yet or already torn down, cannot get broker address") -// s"$brokerHost:$brokerPort" -// } -// -// def zookeeperClient: ZkUtils = { -// assert(zkReady, "Zookeeper not setup yet or already torn down, cannot get zookeeper client") -// Option(zkUtils).getOrElse( -// throw new IllegalStateException("Zookeeper client is not yet initialized")) -// } -// -// // Set up the Embedded Zookeeper server and get the proper Zookeeper port -// private def setupEmbeddedZookeeper(): Unit = { -// // Zookeeper server startup -// zookeeper = new EmbeddedZookeeper(s"$zkHost:$zkPort") -// // Get the actual zookeeper binding port -// zkPort = zookeeper.actualPort -// zkUtils = ZkUtils(s"$zkHost:$zkPort", zkSessionTimeout, zkConnectionTimeout, false) -// zkReady = true -// } -// -// // Set up the Embedded Kafka server -// private def setupEmbeddedKafkaServer(): Unit = { -// assert(zkReady, "Zookeeper should be set up beforehand") -// -// // Kafka broker startup -// Utils.startServiceOnPort(brokerPort, port => { -// brokerPort = port -// brokerConf = new KafkaConfig(brokerConfiguration, doLog = false) -// server = new KafkaServer(brokerConf) -// server.startup() -// brokerPort = server.boundPort() -// (server, brokerPort) -// }, new SparkConf(), "KafkaBroker") -// -// brokerReady = true -// } -// -// /** setup the whole embedded servers, including Zookeeper and Kafka brokers */ -// def setup(): Unit = { -// setupEmbeddedZookeeper() -// setupEmbeddedKafkaServer() -// } -// -// /** Teardown the whole servers, including Kafka broker and Zookeeper */ -// def teardown(): Unit = { -// brokerReady = false -// zkReady = false -// -// if (producer != null) { -// producer.close() -// producer = null -// } -// -// if (server != null) { -// server.shutdown() -// server = null -// } -// -// brokerConf.logDirs.foreach { f => Utils.deleteRecursively(new File(f)) } -// -// if (zkUtils != null) { -// zkUtils.close() -// zkUtils = null -// } -// -// if (zookeeper != null) { -// zookeeper.shutdown() -// zookeeper = null -// } -// } -// -// /** Create a Kafka topic and wait until it is propagated to the whole cluster */ -// def createTopic(topic: String, partitions: Int): Unit = { -// AdminUtils.createTopic(zkUtils, topic, partitions, 1) -// // wait until metadata is propagated -// (0 until partitions).foreach { p => -// waitUntilMetadataIsPropagated(topic, p) -// } -// } -// -// /** Create a Kafka topic and wait until it is propagated to the whole cluster */ -// def createTopic(topic: String): Unit = { -// createTopic(topic, 1) -// } -// -// /** Java-friendly function for sending messages to the Kafka broker */ -// def sendMessages(topic: String, messageToFreq: JMap[String, JInt]): Unit = { -// sendMessages(topic, Map(messageToFreq.asScala.mapValues(_.intValue()).toSeq: _*)) -// } -// -// /** Send the messages to the Kafka broker */ -// def sendMessages(topic: String, messageToFreq: Map[String, Int]): Unit = { -// val messages = messageToFreq.flatMap { case (s, freq) => Seq.fill(freq)(s) }.toArray -// sendMessages(topic, messages) -// } -// -// /** Send the array of messages to the Kafka broker */ -// def sendMessages(topic: String, messages: Array[String]): Unit = { -// producer = new Producer[String, String](new ProducerConfig(producerConfiguration)) -// producer.send(messages.map { new KeyedMessage[String, String](topic, _ ) }: _*) -// producer.close() -// producer = null -// } -// -// private def brokerConfiguration: Properties = { -// val props = new Properties() -// props.put("broker.id", "0") -// props.put("host.name", "localhost") -// props.put("port", brokerPort.toString) -// props.put("log.dir", Utils.createTempDir().getAbsolutePath) -// props.put("zookeeper.connect", zkAddress) -// props.put("log.flush.interval.messages", "1") -// props.put("replica.socket.timeout.ms", "1500") -// props -// } -// -// private def producerConfiguration: Properties = { -// val props = new Properties() -// props.put("metadata.broker.list", brokerAddress) -// props.put("serializer.class", classOf[StringEncoder].getName) -// // wait for all in-sync replicas to ack sends -// props.put("request.required.acks", "-1") -// props -// } -// -// // A simplified version of scalatest eventually, rewritten here to avoid adding extra test -// // dependency -// def eventually[T](timeout: Time, interval: Time)(func: => T): T = { -// def makeAttempt(): Either[Throwable, T] = { -// try { -// Right(func) -// } catch { -// case e if NonFatal(e) => Left(e) -// } -// } -// -// val startTime = System.currentTimeMillis() -// @tailrec -// def tryAgain(attempt: Int): T = { -// makeAttempt() match { -// case Right(result) => result -// case Left(e) => -// val duration = System.currentTimeMillis() - startTime -// if (duration < timeout.milliseconds) { -// Thread.sleep(interval.milliseconds) -// } else { -// throw new TimeoutException(e.getMessage) -// } -// -// tryAgain(attempt + 1) -// } -// } -// -// tryAgain(1) -// } -// -// private def waitUntilMetadataIsPropagated(topic: String, partition: Int): Unit = { -// def isPropagated = server.apis.metadataCache.getPartitionInfo(topic, partition) match { -// case Some(partitionState) => -// val leaderAndInSyncReplicas = partitionState.leaderIsrAndControllerEpoch.leaderAndIsr -// -// zkUtils.getLeaderForPartition(topic, partition).isDefined && -// Request.isValidBrokerId(leaderAndInSyncReplicas.leader) && -// leaderAndInSyncReplicas.isr.size >= 1 -// -// case _ => -// false -// } -// eventually(Time(10000), Time(100)) { -// assert(isPropagated, s"Partition [$topic, $partition] metadata not propagated after timeout") -// } -// } -// -// private class EmbeddedZookeeper(val zkConnect: String) { -// val snapshotDir = Utils.createTempDir() -// val logDir = Utils.createTempDir() -// -// val zookeeper = new ZooKeeperServer(snapshotDir, logDir, 500) -// val (ip, port) = { -// val splits = zkConnect.split(":") -// (splits(0), splits(1).toInt) -// } -// val factory = new NIOServerCnxnFactory() -// factory.configure(new InetSocketAddress(ip, port), 16) -// factory.startup(zookeeper) -// -// val actualPort = factory.getLocalPort -// -// def shutdown() { -// factory.shutdown() -// Utils.deleteRecursively(snapshotDir) -// Utils.deleteRecursively(logDir) -// } -// } -//} -// diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/LocationStrategy.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/LocationStrategy.scala deleted file mode 100644 index b4160ca7c..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/LocationStrategy.scala +++ /dev/null @@ -1,84 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.spark.streaming.kafka - -import java.{util => ju} - -import org.apache.kafka.common.TopicPartition -import org.apache.spark.annotation.Experimental - -import scala.collection.JavaConverters._ - - -/** - * :: Experimental :: - * Choice of how to schedule consumers for a given TopicPartition on an executor. - * See [[LocationStrategies]] to obtain instances. - * Kafka 0.10 consumers prefetch messages, so it's important for performance - * to keep cached consumers on appropriate executors, not recreate them for every partition. - * Choice of location is only a preference, not an absolute; partitions may be scheduled elsewhere. - */ -@Experimental -sealed abstract class LocationStrategy - -private case object PreferBrokers extends LocationStrategy - -private case object PreferConsistent extends LocationStrategy - -private case class PreferFixed(hostMap: ju.Map[TopicPartition, String]) extends LocationStrategy - -/** - * :: Experimental :: object to obtain instances of [[LocationStrategy]] - * - */ -@Experimental -object LocationStrategies { - /** - * :: Experimental :: - * Use this only if your executors are on the same nodes as your Kafka brokers. - */ - @Experimental - def PreferBrokers: LocationStrategy = - org.apache.spark.streaming.kafka.PreferBrokers - - /** - * :: Experimental :: - * Use this in most cases, it will consistently distribute partitions across all executors. - */ - @Experimental - def PreferConsistent: LocationStrategy = - org.apache.spark.streaming.kafka.PreferConsistent - - /** - * :: Experimental :: - * Use this to place particular TopicPartitions on particular hosts if your load is uneven. - * Any TopicPartition not specified in the map will use a consistent location. - */ - @Experimental - def PreferFixed(hostMap: collection.Map[TopicPartition, String]): LocationStrategy = - new PreferFixed(new ju.HashMap[TopicPartition, String](hostMap.asJava)) - - /** - * :: Experimental :: - * Use this to place particular TopicPartitions on particular hosts if your load is uneven. - * Any TopicPartition not specified in the map will use a consistent location. - */ - @Experimental - def PreferFixed(hostMap: ju.Map[TopicPartition, String]): LocationStrategy = - new PreferFixed(hostMap) -} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/OffsetRange.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/OffsetRange.scala deleted file mode 100644 index 333fef3cc..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/OffsetRange.scala +++ /dev/null @@ -1,152 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.spark.streaming.kafka - -import org.apache.kafka.clients.consumer.OffsetCommitCallback -import org.apache.kafka.common.TopicPartition -import org.apache.spark.annotation.Experimental - -/** - * Represents any object that has a collection of [[OffsetRange]]s. This can be used to access the - * offset ranges in RDDs generated by the direct Kafka DStream (see - * [[KafkaUtils.createDirectStream]]). - * {{{ - * KafkaUtils.createDirectStream(...).foreachRDD { rdd => - * val offsetRanges = rdd.asInstanceOf[HasOffsetRanges].offsetRanges - * ... - * } - * }}} - */ -trait HasOffsetRanges { - def offsetRanges: Array[OffsetRange] -} - -/** - * :: Experimental :: - * Represents any object that can commit a collection of [[OffsetRange]]s. - * The direct Kafka DStream implements this interface (see - * [[KafkaUtils.createDirectStream]]). - * {{{ - * val stream = KafkaUtils.createDirectStream(...) - * ... - * stream.asInstanceOf[CanCommitOffsets].commitAsync(offsets, new OffsetCommitCallback() { - * def onComplete(m: java.util.Map[TopicPartition, OffsetAndMetadata], e: Exception) { - * if (null != e) { - * // error - * } else { - * // success - * } - * } - * }) - * }}} - */ -@Experimental -trait CanCommitOffsets { - /** - * :: Experimental :: - * Queue up offset ranges for commit to Kafka at a future time. Threadsafe. - * This is only needed if you intend to store offsets in Kafka, instead of your own store. - * @param offsetRanges The maximum untilOffset for a given partition will be used at commit. - */ - @Experimental - def commitAsync(offsetRanges: Array[OffsetRange]): Unit - - /** - * :: Experimental :: - * Queue up offset ranges for commit to Kafka at a future time. Threadsafe. - * This is only needed if you intend to store offsets in Kafka, instead of your own store. - * @param offsetRanges The maximum untilOffset for a given partition will be used at commit. - * @param callback Only the most recently provided callback will be used at commit. - */ - @Experimental - def commitAsync(offsetRanges: Array[OffsetRange], callback: OffsetCommitCallback): Unit -} - -/** - * Represents a range of offsets from a single Kafka TopicPartition. Instances of this class - * can be created with `OffsetRange.create()`. - * @param topic Kafka topic name - * @param partition Kafka partition id - * @param fromOffset Inclusive starting offset - * @param untilOffset Exclusive ending offset - */ -final class OffsetRange private( - val topic: String, - val partition: Int, - val fromOffset: Long, - val untilOffset: Long) extends Serializable { - import OffsetRange.OffsetRangeTuple - - /** Kafka TopicPartition object, for convenience */ - def topicPartition(): TopicPartition = new TopicPartition(topic, partition) - - /** Number of messages this OffsetRange refers to */ - def count(): Long = untilOffset - fromOffset - - override def equals(obj: Any): Boolean = obj match { - case that: OffsetRange => - this.topic == that.topic && - this.partition == that.partition && - this.fromOffset == that.fromOffset && - this.untilOffset == that.untilOffset - case _ => false - } - - override def hashCode(): Int = { - toTuple.hashCode() - } - - override def toString(): String = { - s"OffsetRange(topic: '$topic', partition: $partition, range: [$fromOffset -> $untilOffset])" - } - - /** this is to avoid ClassNotFoundException during checkpoint restore */ - private[streaming] - def toTuple: OffsetRangeTuple = (topic, partition, fromOffset, untilOffset) -} - -/** - * Companion object the provides methods to create instances of [[OffsetRange]]. - */ -object OffsetRange { - def create(topic: String, partition: Int, fromOffset: Long, untilOffset: Long): OffsetRange = - new OffsetRange(topic, partition, fromOffset, untilOffset) - - def create( - topicPartition: TopicPartition, - fromOffset: Long, - untilOffset: Long): OffsetRange = - new OffsetRange(topicPartition.topic, topicPartition.partition, fromOffset, untilOffset) - - def apply(topic: String, partition: Int, fromOffset: Long, untilOffset: Long): OffsetRange = - new OffsetRange(topic, partition, fromOffset, untilOffset) - - def apply( - topicPartition: TopicPartition, - fromOffset: Long, - untilOffset: Long): OffsetRange = - new OffsetRange(topicPartition.topic, topicPartition.partition, fromOffset, untilOffset) - - /** this is to avoid ClassNotFoundException during checkpoint restore */ - private[kafka] - type OffsetRangeTuple = (String, Int, Long, Long) - - private[kafka] - def apply(t: OffsetRangeTuple) = - new OffsetRange(t._1, t._2, t._3, t._4) -} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDD.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDD.scala deleted file mode 100644 index b8ebbcea8..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDD.scala +++ /dev/null @@ -1,230 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.spark.streaming.kafka - -import java.{util => ju} - -import org.apache.kafka.clients.consumer.{ConsumerConfig, ConsumerRecord} -import org.apache.kafka.common.TopicPartition -import org.apache.spark.partial.{BoundedDouble, PartialResult} -import org.apache.spark.rdd.RDD -import org.apache.spark.scheduler.ExecutorCacheTaskLocation -import org.apache.spark.storage.StorageLevel -import org.apache.spark.{Logging, Partition, SparkContext, TaskContext} - -import scala.collection.mutable.ArrayBuffer - -/** - * A batch-oriented interface for consuming from Kafka. - * Starting and ending offsets are specified in advance, - * so that you can control exactly-once semantics. - * @param kafkaParams Kafka - * - * configuration parameters. Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsetRanges offset ranges that define the Kafka data belonging to this RDD - * @param preferredHosts map from TopicPartition to preferred host for processing that partition. - * In most cases, use [[DirectKafkaInputDStream.preferConsistent]] - * Use [[DirectKafkaInputDStream.preferBrokers]] if your executors are on same nodes as brokers. - * @param useConsumerCache whether to use a consumer from a per-jvm cache - * @tparam K type of Kafka message key - * @tparam V type of Kafka message value - */ -private[spark] class RheosRDD[K, V]( - sc: SparkContext, - val kafkaParams: ju.Map[String, Object], - val offsetRanges: Array[OffsetRange], - val preferredHosts: ju.Map[TopicPartition, String], - useConsumerCache: Boolean -) extends RDD[ConsumerRecord[K, V]](sc, Nil) with Logging with HasOffsetRanges { - - /* assert("none" == - kafkaParams.get(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG).asInstanceOf[String], - ConsumerConfig.AUTO_OFFSET_RESET_CONFIG + - " must be set to none for executor kafka params, else messages may not match offsetRange") */ - - assert(false == - kafkaParams.get(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG).asInstanceOf[Boolean], - ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG + - " must be set to false for executor kafka params, else offsets may commit before processing") - - // TODO is it necessary to have separate configs for initial poll time vs ongoing poll time? - private val pollTimeout = conf.getLong("spark.streaming.kafka.consumer.poll.ms", 51200) - private val cacheInitialCapacity = - conf.getInt("spark.streaming.kafka.consumer.cache.initialCapacity", 16) - private val cacheMaxCapacity = - conf.getInt("spark.streaming.kafka.consumer.cache.maxCapacity", 64) - private val cacheLoadFactor = - conf.getDouble("spark.streaming.kafka.consumer.cache.loadFactor", 0.75).toFloat - - override def persist(newLevel: StorageLevel): this.type = { - logError("Kafka ConsumerRecord is not serializable. " + - "Use .map to extract fields before calling .persist or .window") - super.persist(newLevel) - } - - override def getPartitions: Array[Partition] = { - offsetRanges.zipWithIndex.map { case (o, i) => - new RheosRDDPartition(i, o.topic, o.partition, o.fromOffset, o.untilOffset) - }.toArray - } - - override def count(): Long = offsetRanges.map(_.count).sum - - override def countApprox( - timeout: Long, - confidence: Double = 0.95 - ): PartialResult[BoundedDouble] = { - val c = count - new PartialResult(new BoundedDouble(c, 1.0, c, c), true) - } - - override def isEmpty(): Boolean = count == 0L - - override def take(num: Int): Array[ConsumerRecord[K, V]] = { - val nonEmptyPartitions = this.partitions - .map(_.asInstanceOf[RheosRDDPartition]) - .filter(_.count > 0) - - if (num < 1 || nonEmptyPartitions.isEmpty) { - return new Array[ConsumerRecord[K, V]](0) - } - - // Determine in advance how many messages need to be taken from each partition - val parts = nonEmptyPartitions.foldLeft(Map[Int, Int]()) { (result, part) => - val remain = num - result.values.sum - if (remain > 0) { - val taken = Math.min(remain, part.count) - result + (part.index -> taken.toInt) - } else { - result - } - } - - val buf = new ArrayBuffer[ConsumerRecord[K, V]] - val res = context.runJob( - this, - (tc: TaskContext, it: Iterator[ConsumerRecord[K, V]]) => - it.take(parts(tc.partitionId)).toArray, parts.keys.toArray - ) - res.foreach(buf ++= _) - buf.toArray - } - - private def executors(): Array[ExecutorCacheTaskLocation] = { - val bm = sparkContext.env.blockManager - bm.master.getPeers(bm.blockManagerId).toArray - .map(x => ExecutorCacheTaskLocation(x.host, x.executorId)) - .sortWith(compareExecutors) - } - - protected[kafka] def compareExecutors( - a: ExecutorCacheTaskLocation, - b: ExecutorCacheTaskLocation): Boolean = - if (a.host == b.host) { - a.executorId > b.executorId - } else { - a.host > b.host - } - - /** - * Non-negative modulus, from java 8 math - */ - private def floorMod(a: Int, b: Int): Int = ((a % b) + b) % b - - override def getPreferredLocations(thePart: Partition): Seq[String] = { - // The intention is best-effort consistent executor for a given topicpartition, - // so that caching consumers can be effective. - // TODO what about hosts specified by ip vs name - val part = thePart.asInstanceOf[RheosRDDPartition] - val allExecs = executors() - val tp = part.topicPartition - val prefHost = preferredHosts.get(tp) - val prefExecs = if (null == prefHost) allExecs else allExecs.filter(_.host == prefHost) - val execs = if (prefExecs.isEmpty) allExecs else prefExecs - if (execs.isEmpty) { - Seq() - } else { - // execs is sorted, tp.hashCode depends only on topic and partition, so consistent index - val index = this.floorMod(tp.hashCode, execs.length) - val chosen = execs(index) - Seq(chosen.toString) - } - } - - private def errBeginAfterEnd(part: RheosRDDPartition): String = - s"Beginning offset ${part.fromOffset} is after the ending offset ${part.untilOffset} " + - s"for topic ${part.topic} partition ${part.partition}. " + - "You either provided an invalid fromOffset, or the Kafka topic has been damaged" - - override def compute(thePart: Partition, context: TaskContext): Iterator[ConsumerRecord[K, V]] = { - val part = thePart.asInstanceOf[RheosRDDPartition] - assert(part.fromOffset <= part.untilOffset, errBeginAfterEnd(part)) - if (part.fromOffset == part.untilOffset) { - logInfo(s"Beginning offset ${part.fromOffset} is the same as ending offset " + - s"skipping ${part.topic} ${part.partition}") - Iterator.empty - } else { - new RheosRDDIterator(part, context) - } - } - - /** - * An iterator that fetches messages directly from Kafka for the offsets in partition. - * Uses a cached consumer where possible to take advantage of prefetching - */ - private class RheosRDDIterator( - part: RheosRDDPartition, - context: TaskContext) extends Iterator[ConsumerRecord[K, V]] { - - logInfo(s"Computing topic ${part.topic}, partition ${part.partition} " + - s"offsets ${part.fromOffset} -> ${part.untilOffset}") - - val groupId = kafkaParams.get(ConsumerConfig.GROUP_ID_CONFIG).asInstanceOf[String] - - context.addTaskCompletionListener{ context => closeIfNeeded() } - - val consumer = if (useConsumerCache) { - CachedRheosConsumer.init(cacheInitialCapacity, cacheMaxCapacity, cacheLoadFactor) - if (context.attemptNumber > 1) { - // just in case the prior attempt failures were cache related - CachedRheosConsumer.remove(groupId, part.topic, part.partition) - } - CachedRheosConsumer.get[K, V](groupId, part.topic, part.partition, kafkaParams) - } else { - CachedRheosConsumer.getUncached[K, V](groupId, part.topic, part.partition, kafkaParams) - } - - var requestOffset = part.fromOffset - - def closeIfNeeded(): Unit = { - if (!useConsumerCache && consumer != null) { - consumer.close - } - } - - override def hasNext(): Boolean = requestOffset < part.untilOffset - - override def next(): ConsumerRecord[K, V] = { - assert(hasNext(), "Can't call getNext() once untilOffset has been reached") - val r = consumer.get(requestOffset, pollTimeout) - requestOffset += 1 - r - } - } -} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDDPartition.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDDPartition.scala deleted file mode 100644 index 35e2a3ee7..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosRDDPartition.scala +++ /dev/null @@ -1,44 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.spark.streaming.kafka - -import org.apache.kafka.common.TopicPartition -import org.apache.spark.Partition - - -/** - * @param topic kafka topic name - * @param partition kafka partition id - * @param fromOffset inclusive starting offset - * @param untilOffset exclusive ending offset - */ -private[kafka] -class RheosRDDPartition( - val index: Int, - val topic: String, - val partition: Int, - val fromOffset: Long, - val untilOffset: Long -) extends Partition { - /** Number of messages this partition refers to */ - def count(): Long = untilOffset - fromOffset - - /** Kafka TopicPartition object, for convenience */ - def topicPartition(): TopicPartition = new TopicPartition(topic, partition) - -} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosUtils.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosUtils.scala deleted file mode 100644 index 8733b4ff3..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/RheosUtils.scala +++ /dev/null @@ -1,245 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.spark.streaming.kafka - -import java.{util => ju} - -import io.ebay.rheos.schema.event.RheosEvent -import org.apache.kafka.clients.consumer._ -import org.apache.kafka.common.{PartitionInfo, TopicPartition} -import org.apache.spark.annotation.Experimental -import org.apache.spark.api.java.function.{Function0 => JFunction0} -import org.apache.spark.api.java.{JavaRDD, JavaSparkContext} -import org.apache.spark.rdd.RDD -import org.apache.spark.streaming.StreamingContext -import org.apache.spark.streaming.api.java.{JavaInputDStream, JavaStreamingContext} -import org.apache.spark.streaming.dstream._ -import org.apache.spark.{Logging, SparkContext} - -import scala.collection.JavaConverters._ - -/** - * :: Experimental :: - * object for constructing Kafka streams and RDDs - */ -@Experimental -object RheosUtils extends Logging { - /** - * :: Experimental :: - * Scala constructor for a batch-oriented interface for consuming from Kafka. - * Starting and ending offsets are specified in advance, - * so that you can control exactly-once semantics. - * - * @param kafkaParams Kafka - * - * configuration parameters. Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsetRanges offset ranges that define the Kafka data belonging to this RDD - * @param locationStrategy In most cases, pass in LocationStrategies.preferConsistent, - * see [[LocationStrategies]] for more details. - * @tparam K type of Kafka message key - * @tparam V type of Kafka message value - */ - @Experimental - def createRDD[K, V]( - sc: SparkContext, - kafkaParams: ju.Map[String, Object], - offsetRanges: Array[OffsetRange], - locationStrategy: LocationStrategy - ): RDD[ConsumerRecord[K, V]] = { - val preferredHosts = locationStrategy match { - case PreferBrokers => - throw new AssertionError( - "If you want to prefer brokers, you must provide a mapping using PreferFixed " + - "A single RheosRDD does not have a driver consumer and cannot look up brokers for you.") - case PreferConsistent => ju.Collections.emptyMap[TopicPartition, String]() - case PreferFixed(hostMap) => hostMap - } - val kp = new ju.HashMap[String, Object](kafkaParams) - fixKafkaParams(kp) - val osr = offsetRanges.clone() - - new RheosRDD[K, V](sc, kp, osr, preferredHosts, true) - } - - /** - * :: Experimental :: - * Java constructor for a batch-oriented interface for consuming from Kafka. - * Starting and ending offsets are specified in advance, - * so that you can control exactly-once semantics. - * - * @param kafkaParams Kafka - * - * configuration parameters. Requires "bootstrap.servers" to be set - * with Kafka broker(s) specified in host1:port1,host2:port2 form. - * @param offsetRanges offset ranges that define the Kafka data belonging to this RDD - * @param locationStrategy In most cases, pass in LocationStrategies.preferConsistent, - * see [[LocationStrategies]] for more details. - * @tparam K type of Kafka message key - * @tparam V type of Kafka message value - */ - @Experimental - def createRDD[K, V]( - jsc: JavaSparkContext, - kafkaParams: ju.Map[String, Object], - offsetRanges: Array[OffsetRange], - locationStrategy: LocationStrategy - ): JavaRDD[ConsumerRecord[K, V]] = { - - new JavaRDD(createRDD[K, V](jsc.sc, kafkaParams, offsetRanges, locationStrategy)) - } - - /** - * :: Experimental :: - * Scala constructor for a DStream where - * each given Kafka topic/partition corresponds to an RDD partition. - * The spark configuration spark.streaming.kafka.maxRatePerPartition gives the maximum number - * of messages - * per second that each '''partition''' will accept. - * - * @param locationStrategy In most cases, pass in LocationStrategies.preferConsistent, - * see [[LocationStrategies]] for more details. - * @param consumerStrategy In most cases, pass in ConsumerStrategies.subscribe, - * see [[ConsumerStrategies]] for more details - * @tparam K type of Kafka message key - * @tparam V type of Kafka message value - */ - @Experimental - def createDirectStream[K, V]( - ssc: StreamingContext, - locationStrategy: LocationStrategy, - consumerStrategy: ConsumerStrategy[K, V] - ): InputDStream[ConsumerRecord[K, V]] = { - new DirectRheosInputDStream[K, V](ssc, locationStrategy, consumerStrategy) - } - - private def fixKafkaParamsForRheos( - kafkaParams: ju.Map[String, Object] - ): Unit = { - // check whether must-have params are set -// for ( param <- WaltzConstant.RheosMustHaveParams) { -// if (! kafkaParams.containsKey(param) || kafkaParams.get(param).toString.isEmpty) { -// throw new RuntimeException(s"invalid rheos config: $param is not set.") -// } -// } -// kafkaParams.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, WaltzConstant.RheosBootStrapServers) -// kafkaParams.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, WaltzConstant.RheosKeyDeser) -// kafkaParams.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, WaltzConstant.RheosValueDeser) - - // check whether need to enable security -// if (! kafkaParams.containsKey(WaltzConstant.RheosNeedAuth) -// || kafkaParams.get(WaltzConstant.RheosNeedAuth).toString.equals("1")) { -// for ((key, value) <- WaltzConstant.RheosSecParams) { -// kafkaParams.put(key.toString, value.toString) -// } -// } - /* val config: ju.Map[String, AnyRef] = new ju.HashMap[String, AnyRef] - config.put(StreamConnectorConfig.RHEOS_SERVICES_URLS, "http://rheos-services.qa.ebay.com") - - val connector: KafkaConsumerConnector = new DataStreamKafkaConsumerConnector(config) - val consumerName = kafkaParams.get("source.rheos.consumer.name").toString - val kafkaConsumer = kafkaParams.get("useRheosEvent").toString match { - case "0" => connector.createByteArrayTypedKafkaConsumer(consumerName) - case "1" => connector.createRheosEventTypedKafkaConsumer(consumerName) - } - // scalastyle:on - kafkaConsumer.asInstanceOf[KafkaConsumer[Array[Byte], Array[Byte]]] */ - } - - /** - * :: Experimental :: - * Scala constructor for a DStream where - * each given Kafka topic/partition corresponds to an RDD partition. - * The spark configuration spark.streaming.kafka.maxRatePerPartition gives the maximum number - * of messages - * per second that each '''partition''' will accept. - */ - @Experimental - def createRheosDirectStream( - ssc: StreamingContext, - kafkaParams: ju.Map[String, Object], - topics: Set[String] - ): InputDStream[ConsumerRecord[Array[Byte], RheosEvent]] = { - try { - fixKafkaParamsForRheos(kafkaParams) - } catch { - case runtime : RuntimeException => { - logError(runtime.getMessage) - throw new RuntimeException("Cannot create rheos stream due to invalid config") - } - } - val rheosConsumer = new KafkaConsumer[Array[Byte], RheosEvent](kafkaParams) - val assignedTps = topics.flatMap(topic => rheosConsumer.partitionsFor(topic).toArray) - .asInstanceOf[Set[PartitionInfo]] - .map({ pi => - new TopicPartition(pi.topic(), pi.partition()) - }) - new DirectRheosInputDStream[Array[Byte], RheosEvent](ssc, LocationStrategies.PreferConsistent, - ConsumerStrategies.Assign(assignedTps, kafkaParams.asScala)) - } - - /** - * :: Experimental :: - * Java constructor for a DStream where - * each given Kafka topic/partition corresponds to an RDD partition. - * - * @param locationStrategy In most cases, pass in LocationStrategies.preferConsistent, - * see [[LocationStrategies]] for more details. - * @param consumerStrategy In most cases, pass in ConsumerStrategies.subscribe, - * see [[ConsumerStrategies]] for more details - * @tparam K type of Kafka message key - * @tparam V type of Kafka message value - */ - @Experimental - def createDirectStream[K, V]( - jssc: JavaStreamingContext, - locationStrategy: LocationStrategy, - consumerStrategy: ConsumerStrategy[K, V] - ): JavaInputDStream[ConsumerRecord[K, V]] = { - new JavaInputDStream( - createDirectStream[K, V]( - jssc.ssc, locationStrategy, consumerStrategy)) - } - - /** - * Tweak kafka params to prevent issues on executors - */ - private[kafka] def fixKafkaParams(kafkaParams: ju.HashMap[String, Object]): Unit = { - logWarning(s"overriding ${ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG} to false for executor") - kafkaParams.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false: java.lang.Boolean) - - /* logWarning(s"overriding ${ConsumerConfig.AUTO_OFFSET_RESET_CONFIG} to none for executor") - kafkaParams.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "none") */ - - // driver and executor should be in different consumer groups - /* val originalGroupId = kafkaParams.get(ConsumerConfig.GROUP_ID_CONFIG) - if (null == originalGroupId) { - logError(s"${ConsumerConfig.GROUP_ID_CONFIG} is null, you should probably set it") - } - val groupId = "spark-executor-" + originalGroupId - logWarning(s"overriding executor ${ConsumerConfig.GROUP_ID_CONFIG} to ${groupId}") - kafkaParams.put(ConsumerConfig.GROUP_ID_CONFIG, groupId) */ - - // possible workaround for KAFKA-3135 - val rbb = kafkaParams.get(ConsumerConfig.RECEIVE_BUFFER_CONFIG) - if (null == rbb || rbb.asInstanceOf[java.lang.String].toInt < 65536) { - logWarning(s"overriding ${ConsumerConfig.RECEIVE_BUFFER_CONFIG} to 65536 see KAFKA-3135") - kafkaParams.put(ConsumerConfig.RECEIVE_BUFFER_CONFIG, 65536: java.lang.Integer) - } - } -} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/WaltzConstant.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/WaltzConstant.scala deleted file mode 100644 index bab2dc9b5..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/WaltzConstant.scala +++ /dev/null @@ -1,54 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.spark.streaming.kafka - -import org.apache.kafka.clients.consumer.ConsumerConfig - -/** - * Created by jinxliu on 7/26/16. - */ -object WaltzConstant { - val RheosKeyDeser = "org.apache.kafka.common.serialization.ByteArrayDeserializer" -// val RheosValueDeser = "org.apache.kafka.common.serialization.ByteArrayDeserializer" - val RheosValueDeser ="io.ebay.rheos.schema.avro.RheosEventDeserializer" - -// val RheosBootStrapServers = "rheos-kafka-proxy-1.lvs02.dev.ebayc3.com:9093," + -// "rheos-kafka-proxy-2.lvs02.dev.ebayc3.com:9093," + -// "rheos-kafka-proxy-3.lvs02.dev.ebayc3.com:9093," + -// "rheos-kafka-proxy-1.phx02.dev.ebayc3.com:9093," + -// "rheos-kafka-proxy-2.phx02.dev.ebayc3.com:9093," + -// "rheos-kafka-proxy-3.phx02.dev.ebayc3.com:9093" - - val RheosBootStrapServers = "rheos-kafka-proxy-1.phx02.dev.ebayc3.com:9092," + - "rheos-kafka-proxy-2.phx02.dev.ebayc3.com:9092," + - "rheos-kafka-proxy-3.phx02.dev.ebayc3.com:9092," + - "rheos-kafka-proxy-1.lvs02.dev.ebayc3.com:9092," + - "rheos-kafka-proxy-2.lvs02.dev.ebayc3.com:9092," + - "rheos-kafka-proxy-3.lvs02.dev.ebayc3.com:9092" - - val RheosSecParams = Map[String, String]( - "sasl.mechanism" -> "IAF", - "security.protocol" -> "SASL_PLAINTEXT", - "sasl.login.class" -> "io.ebay.rheos.kafka.security.iaf.IAFLogin", - "sasl.callback.handler.class" -> "io.ebay.rheos.kafka.security.iaf.IAFCallbackHandler" - ) - - val RheosNeedAuth = "source.needAuth" - val RheosMustHaveParams = List( ConsumerConfig.CLIENT_ID_CONFIG, - ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, ConsumerConfig.GROUP_ID_CONFIG) -} diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/package-info.java b/measure/src/main/scala/org/apache/spark/streaming/kafka/package-info.java deleted file mode 100644 index 8badac539..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/package-info.java +++ /dev/null @@ -1,21 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -/** - * Spark Integration for Kafka 0.10 - */ -package org.apache.spark.streaming.kafka; diff --git a/measure/src/main/scala/org/apache/spark/streaming/kafka/package.scala b/measure/src/main/scala/org/apache/spark/streaming/kafka/package.scala deleted file mode 100644 index f100dd145..000000000 --- a/measure/src/main/scala/org/apache/spark/streaming/kafka/package.scala +++ /dev/null @@ -1,23 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.spark.streaming - -/** - * Spark Integration for Kafka 0.10 - */ -package object kafka //scalastyle:ignore From 2e03d9dcb65b0d49e176538b05d99d1c986c272d Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 21 Mar 2018 16:09:03 +0800 Subject: [PATCH 169/177] modify pom --- measure/pom.xml | 15 --------------- 1 file changed, 15 deletions(-) diff --git a/measure/pom.xml b/measure/pom.xml index 5845eb435..8cecb717c 100644 --- a/measure/pom.xml +++ b/measure/pom.xml @@ -32,21 +32,6 @@ under the License. Apache Griffin :: Measures http://maven.apache.org - - - ebaycentral.releases - http://ebaycentral.corp.ebay.com/content/repositories/releases - - - ebaycentral.3rd - http://ebaycentral.corp.ebay.com/content/repositories/thirdparty - - - ebaycentral.snapshot - http://ebaycentral.corp.ebay.com/content/repositories/snapshots - - - UTF-8 From fce0b9c84cd1e0b034f930573e7732d40e257e2e Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 22 Mar 2018 14:50:22 +0800 Subject: [PATCH 170/177] griffin banner in spring boot --- service/src/main/resources/banner.txt | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 service/src/main/resources/banner.txt diff --git a/service/src/main/resources/banner.txt b/service/src/main/resources/banner.txt new file mode 100644 index 000000000..fa2c8c0d7 --- /dev/null +++ b/service/src/main/resources/banner.txt @@ -0,0 +1,5 @@ +_________________ _________________________________________ __ +__ ____/___ __ \____ _/___ ____/___ ____/____ _/___ | / / +_ / __ __ /_/ / __ / __ /_ __ /_ __ / __ |/ / +/ /_/ / _ _, _/ __/ / _ __/ _ __/ __/ / _ /| / +\____/ /_/ |_| /___/ /_/ /_/ /___/ /_/ |_/ version: 0.2.0 From 5b421c95ecf471ffe0737dbc57aa1b265b81fef8 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 22 Mar 2018 16:24:23 +0800 Subject: [PATCH 171/177] init clear checkpoint dir option supported --- .../measure/config/params/env/SparkParam.scala | 5 ++++- .../measure/process/StreamingDqProcess.scala | 15 ++++++++++++--- measure/src/test/resources/env-test.json | 3 ++- 3 files changed, 18 insertions(+), 5 deletions(-) diff --git a/measure/src/main/scala/org/apache/griffin/measure/config/params/env/SparkParam.scala b/measure/src/main/scala/org/apache/griffin/measure/config/params/env/SparkParam.scala index 6ec095536..a21a64fdd 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/config/params/env/SparkParam.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/config/params/env/SparkParam.scala @@ -27,7 +27,10 @@ case class SparkParam( @JsonProperty("log.level") logLevel: String, @JsonProperty("checkpoint.dir") cpDir: String, @JsonProperty("batch.interval") batchInterval: String, @JsonProperty("process.interval") processInterval: String, - @JsonProperty("config") config: Map[String, String] + @JsonProperty("config") config: Map[String, String], + @JsonProperty("init.clear") initClear: Boolean ) extends Param { + def needInitClear: Boolean = if (initClear != null) initClear else false + } diff --git a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala index 3c2376a43..b2af46a07 100644 --- a/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala +++ b/measure/src/main/scala/org/apache/griffin/measure/process/StreamingDqProcess.scala @@ -28,7 +28,7 @@ import org.apache.griffin.measure.process.engine.DqEngineFactory import org.apache.griffin.measure.process.temp.{DataFrameCaches, TableRegisters} import org.apache.griffin.measure.rule.adaptor.RuleAdaptorGroup import org.apache.griffin.measure.rule.udf._ -import org.apache.griffin.measure.utils.TimeUtil +import org.apache.griffin.measure.utils.{HdfsUtil, TimeUtil} import org.apache.spark.sql.SQLContext import org.apache.spark.sql.hive.HiveContext import org.apache.spark.streaming.{Milliseconds, StreamingContext} @@ -58,6 +58,9 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { sparkContext.setLogLevel(sparkParam.logLevel) sqlContext = new HiveContext(sparkContext) + // clear checkpoint directory + clearCpDir + // init info cache instance InfoCacheInstance.initInstance(envParam.infoCacheParams, metricName) InfoCacheInstance.init @@ -159,9 +162,15 @@ case class StreamingDqProcess(allParam: AllParam) extends DqProcess { val ssc = new StreamingContext(sparkContext, batchInterval) ssc.checkpoint(sparkParam.cpDir) - - ssc } + private def clearCpDir: Unit = { + if (sparkParam.needInitClear) { + val cpDir = sparkParam.cpDir + println(s"clear checkpoint directory ${cpDir}") + HdfsUtil.deleteHdfsPath(cpDir) + } + } + } diff --git a/measure/src/test/resources/env-test.json b/measure/src/test/resources/env-test.json index 898d579e6..4a8e3d047 100644 --- a/measure/src/test/resources/env-test.json +++ b/measure/src/test/resources/env-test.json @@ -6,7 +6,8 @@ "process.interval": "10m", "config": { "spark.master": "local[*]" - } + }, + "init.clear": true }, "persist": [ From d29eda080d743972b327b0b490d4c5c0b2361734 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 28 Mar 2018 16:30:39 +0800 Subject: [PATCH 172/177] add license --- KEYS | 58 +++ NOTICE | 4 +- licenses/BSD-2-Clause | 22 + licenses/BSD-3-Clause | 26 ++ licenses/CDDL-1.0 | 363 +++++++++++++++ licenses/CDDL-1.1 | 362 +++++++++++++++ licenses/JSON | 26 ++ licenses/MIT | 19 + licenses/SIL-OFL-1.1 | 84 ++++ licenses/WTFPL | 13 + measure/LICENSE | 256 +++++++++++ pom.xml | 117 +++-- service/LICENSE | 412 ++++++++++++++++++ service/pom.xml | 1 + .../src/main/resources/Init_quartz_derby.sql | 343 +++++++-------- .../main/resources/Init_quartz_derby.sql.bak | 187 ++++++++ ...{Init_quartz.sql => Init_quartz_mysql.sql} | 0 .../main/resources/Init_quartz_postgres.sql | 203 +++++++++ ui/LICENSE | 310 +++++++++++++ 19 files changed, 2572 insertions(+), 234 deletions(-) create mode 100644 licenses/BSD-2-Clause create mode 100644 licenses/BSD-3-Clause create mode 100644 licenses/CDDL-1.0 create mode 100644 licenses/CDDL-1.1 create mode 100644 licenses/JSON create mode 100644 licenses/MIT create mode 100644 licenses/SIL-OFL-1.1 create mode 100644 licenses/WTFPL create mode 100644 measure/LICENSE create mode 100644 service/LICENSE create mode 100644 service/src/main/resources/Init_quartz_derby.sql.bak rename service/src/main/resources/{Init_quartz.sql => Init_quartz_mysql.sql} (100%) create mode 100644 service/src/main/resources/Init_quartz_postgres.sql create mode 100644 ui/LICENSE diff --git a/KEYS b/KEYS index 57aec9162..325a5a726 100644 --- a/KEYS +++ b/KEYS @@ -35,3 +35,61 @@ yn69eW3tEJRT7l7RSbkIS3X83B5+sYNKSefbR1Pez+q9tOmVFtGEftKZ8Yd8NnXL oDqUdq9Gdw59hZ10xapPm9ojriBIONGdFeKXA45vkuSyWqCSRhQ= =9bGQ -----END PGP PUBLIC KEY BLOCK----- +pub rsa4096 2018-03-07 [SC] [expires: 2022-03-07] + 0CE81C56C324D162F97A06480C001A229453521F +uid [ultimate] griffin +sig 3 0C001A229453521F 2018-03-07 griffin +sub rsa4096 2018-03-07 [E] [expires: 2022-03-07] +sig 0C001A229453521F 2018-03-07 griffin + +-----BEGIN PGP PUBLIC KEY BLOCK----- + +mQINBFqfR5QBEACt3rBLFt9sQ/H+O6msClbsLpnfV/txAF6aZQ5BLrOWDlS8jeVo +b1rRdSHe8EiUtIGKblykYM4QpHcvZDd8JbXdnognL33CGKFDtCuZ+heSHMzRJTM2 +kkpErYiW3vPAGF8G7Epf7yt9nrBxAFbZrQV0SCkgqnFS06xI2piPmAvfntzAH4JU +0ToD1fYjuvZG8oTNuSKwSez7L8kfvwjzG0VVUZtZeWnqQ2mN1QIG590fHabigvUl +76XbXIklWw5xgy05b2Wx0wCvC6ncI1JlUhJ/LsniYEGal79Nezjxhi74kpr6/BSq +7G+KdoaH5z86rjCQBEn008gq/X/tQcEvEcWlI5/7ZN+BCmiJyE15GShwVLp8B+Ns 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product includes software developed at -The Apache Software Foundation (http://www.apache.org/). +The Apache Software Foundation (http://www.apache.org/). \ No newline at end of file diff --git a/licenses/BSD-2-Clause b/licenses/BSD-2-Clause new file mode 100644 index 000000000..c964b5338 --- /dev/null +++ b/licenses/BSD-2-Clause @@ -0,0 +1,22 @@ +The BSD 2-Clause License + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are met: + + 1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + + 2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND + ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED + WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE + DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE + FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL + DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR + SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER + CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, + OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE + OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. \ No newline at end of file diff --git a/licenses/BSD-3-Clause b/licenses/BSD-3-Clause new file mode 100644 index 000000000..c3ca1b934 --- /dev/null +++ b/licenses/BSD-3-Clause @@ -0,0 +1,26 @@ +The BSD 3-Clause License ("New BSD") + + Redistribution and use in source and binary forms, with or without modification, + are permitted provided that the following conditions are met: + + 1. Redistributions of source code must retain the above copyright notice, + this list of conditions and the following disclaimer. + + 2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + + 3. Neither the name of the copyright holder nor the names of its contributors + may be used to endorse or promote products derived from this software without + specific prior written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND + ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED + WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. + IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, + INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT + NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR + PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, + WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) + ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE + POSSIBILITY OF SUCH DAMAGE. \ No newline at end of file diff --git a/licenses/CDDL-1.0 b/licenses/CDDL-1.0 new file mode 100644 index 000000000..253f4ccce --- /dev/null +++ b/licenses/CDDL-1.0 @@ -0,0 +1,363 @@ +Common Development and Distribution License 1.0 + + 1. Definitions. + + 1.1. "Contributor" means each individual or entity that creates + or contributes to the creation of Modifications. + + 1.2. "Contributor Version" means the combination of the Original + Software, prior Modifications used by a Contributor (if any), + and the Modifications made by that particular Contributor. + + 1.3. "Covered Software" means (a) the Original Software, or (b) + Modifications, or (c) the combination of files containing + Original Software with files containing Modifications, in + each case including portions thereof. + + 1.4. "Executable" means the Covered Software in any form other + than Source Code. + + 1.5. "Initial Developer" means the individual or entity that first + makes Original Software available under this License. + + 1.6. "Larger Work" means a work which combines Covered Software or + portions thereof with code not governed by the terms of this + License. + + 1.7. "License" means this document. + + 1.8. "Licensable" means having the right to grant, to the maximum + extent possible, whether at the time of the initial grant or + subsequently acquired, any and all of the rights conveyed + herein. + + 1.9. "Modifications" means the Source Code and Executable form of + any of the following: + + A. Any file that results from an addition to, deletion from or + modification of the contents of a file containing Original + Software or previous Modifications; + + B. Any new file that contains any part of the Original + Software or previous Modifications; or + + C. Any new file that is contributed or otherwise made + available under the terms of this License. + + 1.10. "Original Software" means the Source Code and Executable + form of computer software code that is originally released + under this License. + + 1.11. "Patent Claims" means any patent claim(s), now owned or + hereafter acquired, including without limitation, method, + process, and apparatus claims, in any patent Licensable by + grantor. + + 1.12. "Source Code" means (a) the common form of computer software + code in which modifications are made and (b) associated + documentation included in or with such code. + + 1.13. "You" (or "Your") means an individual or a legal entity + exercising rights under, and complying with all of the terms + of, this License. For legal entities, "You" includes any + entity which controls, is controlled by, or is under common + control with You. For purposes of this definition, + "control" means (a) the power, direct or indirect, to cause + the direction or management of such entity, whether by + contract or otherwise, or (b) ownership of more than fifty + percent (50%) of the outstanding shares or beneficial + ownership of such entity. + + 2. License Grants. + + 2.1. The Initial Developer Grant. + + Conditioned upon Your compliance with Section 3.1 below and + subject to third party intellectual property claims, the Initial + Developer hereby grants You a world-wide, royalty-free, + non-exclusive license: + + (a) under intellectual property rights (other than patent or + trademark) Licensable by Initial Developer, to use, + reproduce, modify, display, perform, sublicense and + distribute the Original Software (or portions thereof), + with or without Modifications, and/or as part of a Larger + Work; and + + (b) under Patent Claims infringed by the making, using or + selling of Original Software, to make, have made, use, + practice, sell, and offer for sale, and/or otherwise + dispose of the Original Software (or portions thereof). + + (c) The licenses granted in Sections 2.1(a) and (b) are + effective on the date Initial Developer first distributes + or otherwise makes the Original Software available to a + third party under the terms of this License. + + (d) Notwithstanding Section 2.1(b) above, no patent license is + granted: (1) for code that You delete from the Original + Software, or (2) for infringements caused by: (i) the + modification of the Original Software, or (ii) the + combination of the Original Software with other software + or devices. + + 2.2. Contributor Grant. + + Conditioned upon Your compliance with Section 3.1 below and + subject to third party intellectual property claims, each + Contributor hereby grants You a world-wide, royalty-free, + non-exclusive license: + + (a) under intellectual property rights (other than patent or + trademark) Licensable by Contributor to use, reproduce, + modify, display, perform, sublicense and distribute the + Modifications created by such Contributor (or portions + thereof), either on an unmodified basis, with other + Modifications, as Covered Software and/or as part of a + Larger Work; and + + (b) under Patent Claims infringed by the making, using, or + selling of Modifications made by that Contributor either + alone and/or in combination with its Contributor Version + (or portions of such combination), to make, use, sell, + offer for sale, have made, and/or otherwise dispose of: + (1) Modifications made by that Contributor (or portions + thereof); and (2) the combination of Modifications made by + that Contributor with its Contributor Version (or portions + of such combination). + + (c) The licenses granted in Sections 2.2(a) and 2.2(b) are + effective on the date Contributor first distributes or + otherwise makes the Modifications available to a third + party. + + (d) Notwithstanding Section 2.2(b) above, no patent license is + granted: (1) for any code that Contributor has deleted + from the Contributor Version; (2) for infringements caused + by: (i) third party modifications of Contributor Version, + or (ii) the combination of Modifications made by that + Contributor with other software (except as part of the + Contributor Version) or other devices; or (3) under Patent + Claims infringed by Covered Software in the absence of + Modifications made by that Contributor. + + 3. Distribution Obligations. + + 3.1. Availability of Source Code. + + Any Covered Software that You distribute or otherwise make + available in Executable form must also be made available in Source + Code form and that Source Code form must be distributed only under + the terms of this License. You must include a copy of this + License with every copy of the Source Code form of the Covered + Software You distribute or otherwise make available. You must + inform recipients of any such Covered Software in Executable form + as to how they can obtain such Covered Software in Source Code + form in a reasonable manner on or through a medium customarily + used for software exchange. + + 3.2. Modifications. + + The Modifications that You create or to which You contribute are + governed by the terms of this License. You represent that You + believe Your Modifications are Your original creation(s) and/or + You have sufficient rights to grant the rights conveyed by this + License. + + 3.3. Required Notices. + + You must include a notice in each of Your Modifications that + identifies You as the Contributor of the Modification. You may + not remove or alter any copyright, patent or trademark notices + contained within the Covered Software, or any notices of licensing + or any descriptive text giving attribution to any Contributor or + the Initial Developer. + + 3.4. Application of Additional Terms. + + You may not offer or impose any terms on any Covered Software in + Source Code form that alters or restricts the applicable version + of this License or the recipients' rights hereunder. You may + choose to offer, and to charge a fee for, warranty, support, + indemnity or liability obligations to one or more recipients of + Covered Software. However, you may do so only on Your own behalf, + and not on behalf of the Initial Developer or any Contributor. + You must make it absolutely clear that any such warranty, support, + indemnity or liability obligation is offered by You alone, and You + hereby agree to indemnify the Initial Developer and every + Contributor for any liability incurred by the Initial Developer or + such Contributor as a result of warranty, support, indemnity or + liability terms You offer. + + 3.5. Distribution of Executable Versions. + + You may distribute the Executable form of the Covered Software + under the terms of this License or under the terms of a license of + Your choice, which may contain terms different from this License, + provided that You are in compliance with the terms of this License + and that the license for the Executable form does not attempt to + limit or alter the recipient's rights in the Source Code form from + the rights set forth in this License. If You distribute the + Covered Software in Executable form under a different license, You + must make it absolutely clear that any terms which differ from + this License are offered by You alone, not by the Initial + Developer or Contributor. You hereby agree to indemnify the + Initial Developer and every Contributor for any liability incurred + by the Initial Developer or such Contributor as a result of any + such terms You offer. + + 3.6. Larger Works. + + You may create a Larger Work by combining Covered Software with + other code not governed by the terms of this License and + distribute the Larger Work as a single product. In such a case, + You must make sure the requirements of this License are fulfilled + for the Covered Software. + + 4. Versions of the License. + + 4.1. New Versions. + + Sun Microsystems, Inc. is the initial license steward and may + publish revised and/or new versions of this License from time to + time. Each version will be given a distinguishing version number. + Except as provided in Section 4.3, no one other than the license + steward has the right to modify this License. + + 4.2. Effect of New Versions. + + You may always continue to use, distribute or otherwise make the + Covered Software available under the terms of the version of the + License under which You originally received the Covered Software. + If the Initial Developer includes a notice in the Original + Software prohibiting it from being distributed or otherwise made + available under any subsequent version of the License, You must + distribute and make the Covered Software available under the terms + of the version of the License under which You originally received + the Covered Software. Otherwise, You may also choose to use, + distribute or otherwise make the Covered Software available under + the terms of any subsequent version of the License published by + the license steward. + + 4.3. Modified Versions. + + When You are an Initial Developer and You want to create a new + license for Your Original Software, You may create and use a + modified version of this License if You: (a) rename the license + and remove any references to the name of the license steward + (except to note that the license differs from this License); and + (b) otherwise make it clear that the license contains terms which + differ from this License. + + 5. DISCLAIMER OF WARRANTY. + + COVERED SOFTWARE IS PROVIDED UNDER THIS LICENSE ON AN "AS IS" + BASIS, WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, + INCLUDING, WITHOUT LIMITATION, WARRANTIES THAT THE COVERED + SOFTWARE IS FREE OF DEFECTS, MERCHANTABLE, FIT FOR A PARTICULAR + PURPOSE OR NON-INFRINGING. THE ENTIRE RISK AS TO THE QUALITY AND + PERFORMANCE OF THE COVERED SOFTWARE IS WITH YOU. SHOULD ANY + COVERED SOFTWARE PROVE DEFECTIVE IN ANY RESPECT, YOU (NOT THE + INITIAL DEVELOPER OR ANY OTHER CONTRIBUTOR) ASSUME THE COST OF ANY + NECESSARY SERVICING, REPAIR OR CORRECTION. THIS DISCLAIMER OF + WARRANTY CONSTITUTES AN ESSENTIAL PART OF THIS LICENSE. NO USE OF + ANY COVERED SOFTWARE IS AUTHORIZED HEREUNDER EXCEPT UNDER THIS + DISCLAIMER. + + 6. TERMINATION. + + 6.1. This License and the rights granted hereunder will terminate + automatically if You fail to comply with terms herein and fail to + cure such breach within 30 days of becoming aware of the breach. + Provisions which, by their nature, must remain in effect beyond + the termination of this License shall survive. + + 6.2. If You assert a patent infringement claim (excluding + declaratory judgment actions) against Initial Developer or a + Contributor (the Initial Developer or Contributor against whom You + assert such claim is referred to as "Participant") alleging that + the Participant Software (meaning the Contributor Version where + the Participant is a Contributor or the Original Software where + the Participant is the Initial Developer) directly or indirectly + infringes any patent, then any and all rights granted directly or + indirectly to You by such Participant, the Initial Developer (if + the Initial Developer is not the Participant) and all Contributors + under Sections 2.1 and/or 2.2 of this License shall, upon 60 days + notice from Participant terminate prospectively and automatically + at the expiration of such 60 day notice period, unless if within + such 60 day period You withdraw Your claim with respect to the + Participant Software against such Participant either unilaterally + or pursuant to a written agreement with Participant. + + 6.3. In the event of termination under Sections 6.1 or 6.2 above, + all end user licenses that have been validly granted by You or any + distributor hereunder prior to termination (excluding licenses + granted to You by any distributor) shall survive termination. + + 7. LIMITATION OF LIABILITY. + + UNDER NO CIRCUMSTANCES AND UNDER NO LEGAL THEORY, WHETHER TORT + (INCLUDING NEGLIGENCE), CONTRACT, OR OTHERWISE, SHALL YOU, THE + INITIAL DEVELOPER, ANY OTHER CONTRIBUTOR, OR ANY DISTRIBUTOR OF + COVERED SOFTWARE, OR ANY SUPPLIER OF ANY OF SUCH PARTIES, BE + LIABLE TO ANY PERSON FOR ANY INDIRECT, SPECIAL, INCIDENTAL, OR + CONSEQUENTIAL DAMAGES OF ANY CHARACTER INCLUDING, WITHOUT + LIMITATION, DAMAGES FOR LOST PROFITS, LOSS OF GOODWILL, WORK + STOPPAGE, COMPUTER FAILURE OR MALFUNCTION, OR ANY AND ALL OTHER + COMMERCIAL DAMAGES OR LOSSES, EVEN IF SUCH PARTY SHALL HAVE BEEN + INFORMED OF THE POSSIBILITY OF SUCH DAMAGES. THIS LIMITATION OF + LIABILITY SHALL NOT APPLY TO LIABILITY FOR DEATH OR PERSONAL + INJURY RESULTING FROM SUCH PARTY'S NEGLIGENCE TO THE EXTENT + APPLICABLE LAW PROHIBITS SUCH LIMITATION. SOME JURISDICTIONS DO + NOT ALLOW THE EXCLUSION OR LIMITATION OF INCIDENTAL OR + CONSEQUENTIAL DAMAGES, SO THIS EXCLUSION AND LIMITATION MAY NOT + APPLY TO YOU. + + 8. U.S. GOVERNMENT END USERS. + + The Covered Software is a "commercial item," as that term is + defined in 48 C.F.R. 2.101 (Oct. 1995), consisting of "commercial + computer software" (as that term is defined at 48 + C.F.R. 252.227-7014(a)(1)) and "commercial computer software + documentation" as such terms are used in 48 C.F.R. 12.212 + (Sept. 1995). Consistent with 48 C.F.R. 12.212 and 48 + C.F.R. 227.7202-1 through 227.7202-4 (June 1995), all + U.S. Government End Users acquire Covered Software with only those + rights set forth herein. This U.S. Government Rights clause is in + lieu of, and supersedes, any other FAR, DFAR, or other clause or + provision that addresses Government rights in computer software + under this License. + + 9. MISCELLANEOUS. + + This License represents the complete agreement concerning subject + matter hereof. If any provision of this License is held to be + unenforceable, such provision shall be reformed only to the extent + necessary to make it enforceable. This License shall be governed + by the law of the jurisdiction specified in a notice contained + within the Original Software (except to the extent applicable law, + if any, provides otherwise), excluding such jurisdiction's + conflict-of-law provisions. Any litigation relating to this + License shall be subject to the jurisdiction of the courts located + in the jurisdiction and venue specified in a notice contained + within the Original Software, with the losing party responsible + for costs, including, without limitation, court costs and + reasonable attorneys' fees and expenses. The application of the + United Nations Convention on Contracts for the International Sale + of Goods is expressly excluded. Any law or regulation which + provides that the language of a contract shall be construed + against the drafter shall not apply to this License. You agree + that You alone are responsible for compliance with the United + States export administration regulations (and the export control + laws and regulation of any other countries) when You use, + distribute or otherwise make available any Covered Software. + + 10. RESPONSIBILITY FOR CLAIMS. + + As between Initial Developer and the Contributors, each party is + responsible for claims and damages arising, directly or + indirectly, out of its utilization of rights under this License + and You agree to work with Initial Developer and Contributors to + distribute such responsibility on an equitable basis. Nothing + herein is intended or shall be deemed to constitute any admission + of liability. \ No newline at end of file diff --git a/licenses/CDDL-1.1 b/licenses/CDDL-1.1 new file mode 100644 index 000000000..4a00ba948 --- /dev/null +++ b/licenses/CDDL-1.1 @@ -0,0 +1,362 @@ +COMMON DEVELOPMENT AND DISTRIBUTION LICENSE (CDDL) Version 1.1 + +1. Definitions. + + 1.1. "Contributor" means each individual or entity that creates or + contributes to the creation of Modifications. + + 1.2. "Contributor Version" means the combination of the Original + Software, prior Modifications used by a Contributor (if any), and + the Modifications made by that particular Contributor. + + 1.3. "Covered Software" means (a) the Original Software, or (b) + Modifications, or (c) the combination of files containing Original + Software with files containing Modifications, in each case including + portions thereof. + + 1.4. "Executable" means the Covered Software in any form other than + Source Code. + + 1.5. "Initial Developer" means the individual or entity that first + makes Original Software available under this License. + + 1.6. "Larger Work" means a work which combines Covered Software or + portions thereof with code not governed by the terms of this License. + + 1.7. "License" means this document. + + 1.8. "Licensable" means having the right to grant, to the maximum + extent possible, whether at the time of the initial grant or + subsequently acquired, any and all of the rights conveyed herein. + + 1.9. "Modifications" means the Source Code and Executable form of + any of the following: + + A. Any file that results from an addition to, deletion from or + modification of the contents of a file containing Original Software + or previous Modifications; + + B. Any new file that contains any part of the Original Software or + previous Modification; or + + C. Any new file that is contributed or otherwise made available + under the terms of this License. + + 1.10. "Original Software" means the Source Code and Executable form + of computer software code that is originally released under this + License. + + 1.11. "Patent Claims" means any patent claim(s), now owned or + hereafter acquired, including without limitation, method, process, + and apparatus claims, in any patent Licensable by grantor. + + 1.12. "Source Code" means (a) the common form of computer software + code in which modifications are made and (b) associated + documentation included in or with such code. + + 1.13. "You" (or "Your") means an individual or a legal entity + exercising rights under, and complying with all of the terms of, + this License. For legal entities, "You" includes any entity which + controls, is controlled by, or is under common control with You. For + purposes of this definition, "control" means (a) the power, direct + or indirect, to cause the direction or management of such entity, + whether by contract or otherwise, or (b) ownership of more than + fifty percent (50%) of the outstanding shares or beneficial + ownership of such entity. + +2. License Grants. + + 2.1. The Initial Developer Grant. + + Conditioned upon Your compliance with Section 3.1 below and subject + to third party intellectual property claims, the Initial Developer + hereby grants You a world-wide, royalty-free, non-exclusive license: + + (a) under intellectual property rights (other than patent or + trademark) Licensable by Initial Developer, to use, reproduce, + modify, display, perform, sublicense and distribute the Original + Software (or portions thereof), with or without Modifications, + and/or as part of a Larger Work; and + + (b) under Patent Claims infringed by the making, using or selling of + Original Software, to make, have made, use, practice, sell, and + offer for sale, and/or otherwise dispose of the Original Software + (or portions thereof). + + (c) The licenses granted in Sections 2.1(a) and (b) are effective on + the date Initial Developer first distributes or otherwise makes the + Original Software available to a third party under the terms of this + License. + + (d) Notwithstanding Section 2.1(b) above, no patent license is + granted: (1) for code that You delete from the Original Software, or + (2) for infringements caused by: (i) the modification of the + Original Software, or (ii) the combination of the Original Software + with other software or devices. + + 2.2. Contributor Grant. + + Conditioned upon Your compliance with Section 3.1 below and subject + to third party intellectual property claims, each Contributor hereby + grants You a world-wide, royalty-free, non-exclusive license: + + (a) under intellectual property rights (other than patent or + trademark) Licensable by Contributor to use, reproduce, modify, + display, perform, sublicense and distribute the Modifications + created by such Contributor (or portions thereof), either on an + unmodified basis, with other Modifications, as Covered Software + and/or as part of a Larger Work; and + + (b) under Patent Claims infringed by the making, using, or selling + of Modifications made by that Contributor either alone and/or in + combination with its Contributor Version (or portions of such + combination), to make, use, sell, offer for sale, have made, and/or + otherwise dispose of: (1) Modifications made by that Contributor (or + portions thereof); and (2) the combination of Modifications made by + that Contributor with its Contributor Version (or portions of such + combination). + + (c) The licenses granted in Sections 2.2(a) and 2.2(b) are effective + on the date Contributor first distributes or otherwise makes the + Modifications available to a third party. + + (d) Notwithstanding Section 2.2(b) above, no patent license is + granted: (1) for any code that Contributor has deleted from the + Contributor Version; (2) for infringements caused by: (i) third + party modifications of Contributor Version, or (ii) the combination + of Modifications made by that Contributor with other software + (except as part of the Contributor Version) or other devices; or (3) + under Patent Claims infringed by Covered Software in the absence of + Modifications made by that Contributor. + +3. Distribution Obligations. + + 3.1. Availability of Source Code. + + Any Covered Software that You distribute or otherwise make available + in Executable form must also be made available in Source Code form + and that Source Code form must be distributed only under the terms + of this License. You must include a copy of this License with every + copy of the Source Code form of the Covered Software You distribute + or otherwise make available. You must inform recipients of any such + Covered Software in Executable form as to how they can obtain such + Covered Software in Source Code form in a reasonable manner on or + through a medium customarily used for software exchange. + + 3.2. Modifications. + + The Modifications that You create or to which You contribute are + governed by the terms of this License. You represent that You + believe Your Modifications are Your original creation(s) and/or You + have sufficient rights to grant the rights conveyed by this License. + + 3.3. Required Notices. + + You must include a notice in each of Your Modifications that + identifies You as the Contributor of the Modification. You may not + remove or alter any copyright, patent or trademark notices contained + within the Covered Software, or any notices of licensing or any + descriptive text giving attribution to any Contributor or the + Initial Developer. + + 3.4. Application of Additional Terms. + + You may not offer or impose any terms on any Covered Software in + Source Code form that alters or restricts the applicable version of + this License or the recipients' rights hereunder. You may choose to + offer, and to charge a fee for, warranty, support, indemnity or + liability obligations to one or more recipients of Covered Software. + However, you may do so only on Your own behalf, and not on behalf of + the Initial Developer or any Contributor. You must make it + absolutely clear that any such warranty, support, indemnity or + liability obligation is offered by You alone, and You hereby agree + to indemnify the Initial Developer and every Contributor for any + liability incurred by the Initial Developer or such Contributor as a + result of warranty, support, indemnity or liability terms You offer. + + 3.5. Distribution of Executable Versions. + + You may distribute the Executable form of the Covered Software under + the terms of this License or under the terms of a license of Your + choice, which may contain terms different from this License, + provided that You are in compliance with the terms of this License + and that the license for the Executable form does not attempt to + limit or alter the recipient's rights in the Source Code form from + the rights set forth in this License. If You distribute the Covered + Software in Executable form under a different license, You must make + it absolutely clear that any terms which differ from this License + are offered by You alone, not by the Initial Developer or + Contributor. You hereby agree to indemnify the Initial Developer and + every Contributor for any liability incurred by the Initial + Developer or such Contributor as a result of any such terms You offer. + + 3.6. Larger Works. + + You may create a Larger Work by combining Covered Software with + other code not governed by the terms of this License and distribute + the Larger Work as a single product. In such a case, You must make + sure the requirements of this License are fulfilled for the Covered + Software. + +4. Versions of the License. + + 4.1. New Versions. + + Oracle is the initial license steward and may publish revised and/or + new versions of this License from time to time. Each version will be + given a distinguishing version number. Except as provided in Section + 4.3, no one other than the license steward has the right to modify + this License. + + 4.2. Effect of New Versions. + + You may always continue to use, distribute or otherwise make the + Covered Software available under the terms of the version of the + License under which You originally received the Covered Software. If + the Initial Developer includes a notice in the Original Software + prohibiting it from being distributed or otherwise made available + under any subsequent version of the License, You must distribute and + make the Covered Software available under the terms of the version + of the License under which You originally received the Covered + Software. Otherwise, You may also choose to use, distribute or + otherwise make the Covered Software available under the terms of any + subsequent version of the License published by the license steward. + + 4.3. Modified Versions. + + When You are an Initial Developer and You want to create a new + license for Your Original Software, You may create and use a + modified version of this License if You: (a) rename the license and + remove any references to the name of the license steward (except to + note that the license differs from this License); and (b) otherwise + make it clear that the license contains terms which differ from this + License. + +5. DISCLAIMER OF WARRANTY. + + COVERED SOFTWARE IS PROVIDED UNDER THIS LICENSE ON AN "AS IS" BASIS, + WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, + INCLUDING, WITHOUT LIMITATION, WARRANTIES THAT THE COVERED SOFTWARE + IS FREE OF DEFECTS, MERCHANTABLE, FIT FOR A PARTICULAR PURPOSE OR + NON-INFRINGING. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF + THE COVERED SOFTWARE IS WITH YOU. SHOULD ANY COVERED SOFTWARE PROVE + DEFECTIVE IN ANY RESPECT, YOU (NOT THE INITIAL DEVELOPER OR ANY + OTHER CONTRIBUTOR) ASSUME THE COST OF ANY NECESSARY SERVICING, + REPAIR OR CORRECTION. THIS DISCLAIMER OF WARRANTY CONSTITUTES AN + ESSENTIAL PART OF THIS LICENSE. NO USE OF ANY COVERED SOFTWARE IS + AUTHORIZED HEREUNDER EXCEPT UNDER THIS DISCLAIMER. + +6. TERMINATION. + + 6.1. This License and the rights granted hereunder will terminate + automatically if You fail to comply with terms herein and fail to + cure such breach within 30 days of becoming aware of the breach. + Provisions which, by their nature, must remain in effect beyond the + termination of this License shall survive. + + 6.2. If You assert a patent infringement claim (excluding + declaratory judgment actions) against Initial Developer or a + Contributor (the Initial Developer or Contributor against whom You + assert such claim is referred to as "Participant") alleging that the + Participant Software (meaning the Contributor Version where the + Participant is a Contributor or the Original Software where the + Participant is the Initial Developer) directly or indirectly + infringes any patent, then any and all rights granted directly or + indirectly to You by such Participant, the Initial Developer (if the + Initial Developer is not the Participant) and all Contributors under + Sections 2.1 and/or 2.2 of this License shall, upon 60 days notice + from Participant terminate prospectively and automatically at the + expiration of such 60 day notice period, unless if within such 60 + day period You withdraw Your claim with respect to the Participant + Software against such Participant either unilaterally or pursuant to + a written agreement with Participant. + + 6.3. If You assert a patent infringement claim against Participant + alleging that the Participant Software directly or indirectly + infringes any patent where such claim is resolved (such as by + license or settlement) prior to the initiation of patent + infringement litigation, then the reasonable value of the licenses + granted by such Participant under Sections 2.1 or 2.2 shall be taken + into account in determining the amount or value of any payment or + license. + + 6.4. In the event of termination under Sections 6.1 or 6.2 above, + all end user licenses that have been validly granted by You or any + distributor hereunder prior to termination (excluding licenses + granted to You by any distributor) shall survive termination. + +7. LIMITATION OF LIABILITY. + + UNDER NO CIRCUMSTANCES AND UNDER NO LEGAL THEORY, WHETHER TORT + (INCLUDING NEGLIGENCE), CONTRACT, OR OTHERWISE, SHALL YOU, THE + INITIAL DEVELOPER, ANY OTHER CONTRIBUTOR, OR ANY DISTRIBUTOR OF + COVERED SOFTWARE, OR ANY SUPPLIER OF ANY OF SUCH PARTIES, BE LIABLE + TO ANY PERSON FOR ANY INDIRECT, SPECIAL, INCIDENTAL, OR + CONSEQUENTIAL DAMAGES OF ANY CHARACTER INCLUDING, WITHOUT + LIMITATION, DAMAGES FOR LOSS OF GOODWILL, WORK STOPPAGE, COMPUTER + FAILURE OR MALFUNCTION, OR ANY AND ALL OTHER COMMERCIAL DAMAGES OR + LOSSES, EVEN IF SUCH PARTY SHALL HAVE BEEN INFORMED OF THE + POSSIBILITY OF SUCH DAMAGES. THIS LIMITATION OF LIABILITY SHALL NOT + APPLY TO LIABILITY FOR DEATH OR PERSONAL INJURY RESULTING FROM SUCH + PARTY'S NEGLIGENCE TO THE EXTENT APPLICABLE LAW PROHIBITS SUCH + LIMITATION. SOME JURISDICTIONS DO NOT ALLOW THE EXCLUSION OR + LIMITATION OF INCIDENTAL OR CONSEQUENTIAL DAMAGES, SO THIS EXCLUSION + AND LIMITATION MAY NOT APPLY TO YOU. + +8. U.S. GOVERNMENT END USERS. + + The Covered Software is a "commercial item," as that term is defined + in 48 C.F.R. 2.101 (Oct. 1995), consisting of "commercial computer + software" (as that term is defined at 48 C.F.R. § + 252.227-7014(a)(1)) and "commercial computer software documentation" + as such terms are used in 48 C.F.R. 12.212 (Sept. 1995). Consistent + with 48 C.F.R. 12.212 and 48 C.F.R. 227.7202-1 through 227.7202-4 + (June 1995), all U.S. Government End Users acquire Covered Software + with only those rights set forth herein. This U.S. Government Rights + clause is in lieu of, and supersedes, any other FAR, DFAR, or other + clause or provision that addresses Government rights in computer + software under this License. + +9. MISCELLANEOUS. + + This License represents the complete agreement concerning subject + matter hereof. If any provision of this License is held to be + unenforceable, such provision shall be reformed only to the extent + necessary to make it enforceable. This License shall be governed by + the law of the jurisdiction specified in a notice contained within + the Original Software (except to the extent applicable law, if any, + provides otherwise), excluding such jurisdiction's conflict-of-law + provisions. Any litigation relating to this License shall be subject + to the jurisdiction of the courts located in the jurisdiction and + venue specified in a notice contained within the Original Software, + with the losing party responsible for costs, including, without + limitation, court costs and reasonable attorneys' fees and expenses. + The application of the United Nations Convention on Contracts for + the International Sale of Goods is expressly excluded. Any law or + regulation which provides that the language of a contract shall be + construed against the drafter shall not apply to this License. You + agree that You alone are responsible for compliance with the United + States export administration regulations (and the export control + laws and regulation of any other countries) when You use, distribute + or otherwise make available any Covered Software. + +10. RESPONSIBILITY FOR CLAIMS. + + As between Initial Developer and the Contributors, each party is + responsible for claims and damages arising, directly or indirectly, + out of its utilization of rights under this License and You agree to + work with Initial Developer and Contributors to distribute such + responsibility on an equitable basis. Nothing herein is intended or + shall be deemed to constitute any admission of liability. + +------------------------------------------------------------------------ + +NOTICE PURSUANT TO SECTION 9 OF THE COMMON DEVELOPMENT AND DISTRIBUTION +LICENSE (CDDL) + +The code released under the CDDL shall be governed by the laws of the +State of California (excluding conflict-of-law provisions). Any +litigation relating to this License shall be subject to the jurisdiction +of the Federal Courts of the Northern District of California and the +state courts of the State of California, with venue lying in Santa Clara +County, California. diff --git a/licenses/JSON b/licenses/JSON new file mode 100644 index 000000000..b32b43cf6 --- /dev/null +++ b/licenses/JSON @@ -0,0 +1,26 @@ +The JSON License + +Copyright (c) 2002 JSON.org + +Permission is hereby granted, free of charge, to any person +obtaining a copy of this software and associated documentation +files (the "Software"), to deal in the Software without +restriction, including without limitation the rights to use, +copy, modify, merge, publish, distribute, sublicense, and/or +sell copies of the Software, and to permit persons to whom the +Software is furnished to do so, subject to the following +conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +The Software shall be used for Good, not Evil. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT +HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR +OTHER DEALINGS IN THE SOFTWARE. \ No newline at end of file diff --git a/licenses/MIT b/licenses/MIT new file mode 100644 index 000000000..4a9e7168e --- /dev/null +++ b/licenses/MIT @@ -0,0 +1,19 @@ +The MIT License ("MIT") + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in + all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN + THE SOFTWARE. \ No newline at end of file diff --git a/licenses/SIL-OFL-1.1 b/licenses/SIL-OFL-1.1 new file mode 100644 index 000000000..fa6a1ae75 --- /dev/null +++ b/licenses/SIL-OFL-1.1 @@ -0,0 +1,84 @@ +SIL OPEN FONT LICENSE Version 1.1 + +PREAMBLE +The goals of the Open Font License (OFL) are to stimulate worldwide +development of collaborative font projects, to support the font creation +efforts of academic and linguistic communities, and to provide a free and +open framework in which fonts may be shared and improved in partnership +with others. + +The OFL allows the licensed fonts to be used, studied, modified and +redistributed freely as long as they are not sold by themselves. The +fonts, including any derivative works, can be bundled, embedded, +redistributed and/or sold with any software provided that any reserved +names are not used by derivative works. The fonts and derivatives, +however, cannot be released under any other type of license. The +requirement for fonts to remain under this license does not apply +to any document created using the fonts or their derivatives. + +DEFINITIONS +"Font Software" refers to the set of files released by the Copyright +Holder(s) under this license and clearly marked as such. This may +include source files, build scripts and documentation. + +"Reserved Font Name" refers to any names specified as such after the +copyright statement(s). + +"Original Version" refers to the collection of Font Software components as +distributed by the Copyright Holder(s). + +"Modified Version" refers to any derivative made by adding to, deleting, +or substituting — in part or in whole — any of the components of the +Original Version, by changing formats or by porting the Font Software to a +new environment. + +"Author" refers to any designer, engineer, programmer, technical +writer or other person who contributed to the Font Software. + +PERMISSION & CONDITIONS +Permission is hereby granted, free of charge, to any person obtaining +a copy of the Font Software, to use, study, copy, merge, embed, modify, +redistribute, and sell modified and unmodified copies of the Font +Software, subject to the following conditions: + +1) Neither the Font Software nor any of its individual components, +in Original or Modified Versions, may be sold by itself. + +2) Original or Modified Versions of the Font Software may be bundled, +redistributed and/or sold with any software, provided that each copy +contains the above copyright notice and this license. These can be +included either as stand-alone text files, human-readable headers or +in the appropriate machine-readable metadata fields within text or +binary files as long as those fields can be easily viewed by the user. + +3) No Modified Version of the Font Software may use the Reserved Font +Name(s) unless explicit written permission is granted by the corresponding +Copyright Holder. This restriction only applies to the primary font name as +presented to the users. + +4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font +Software shall not be used to promote, endorse or advertise any +Modified Version, except to acknowledge the contribution(s) of the +Copyright Holder(s) and the Author(s) or with their explicit written +permission. + +5) The Font Software, modified or unmodified, in part or in whole, +must be distributed entirely under this license, and must not be +distributed under any other license. The requirement for fonts to +remain under this license does not apply to any document created +using the Font Software. + +TERMINATION +This license becomes null and void if any of the above conditions are +not met. + +DISCLAIMER +THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT +OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE +COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL +DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM +OTHER DEALINGS IN THE FONT SOFTWARE. \ No newline at end of file diff --git a/licenses/WTFPL b/licenses/WTFPL new file mode 100644 index 000000000..07b7a8185 --- /dev/null +++ b/licenses/WTFPL @@ -0,0 +1,13 @@ + DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE + Version 2, December 2004 + +Copyright (C) 2004 Sam Hocevar + +Everyone is permitted to copy and distribute verbatim or modified +copies of this license document, and changing it is allowed as long +as the name is changed. + + DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE + TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION + + 0. You just DO WHAT THE FUCK YOU WANT TO. \ No newline at end of file diff --git a/measure/LICENSE b/measure/LICENSE new file mode 100644 index 000000000..b0c48903c --- /dev/null +++ b/measure/LICENSE @@ -0,0 +1,256 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. 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http://jackson.codehaus.org) + (The Apache Software License, Version 2.0) BSON (org.mongodb:bson:3.4.2 - http://bsonspec.org) + (The Apache Software License, Version 2.0) MongoDB Asynchronous Driver (org.mongodb:mongodb-driver-async:3.4.2 - http://www.mongodb.org) + (The Apache Software License, Version 2.0) MongoDB Java Driver Core (org.mongodb:mongodb-driver-core:3.4.2 - http://www.mongodb.org) + (Apache 2) mongo-scala-bson (org.mongodb.scala:mongo-scala-bson_2.11:2.1.0 - http://mongodb.github.io/mongo-scala-driver) + (Apache 2) mongo-scala-driver (org.mongodb.scala:mongo-scala-driver_2.11:2.1.0 - http://mongodb.github.io/mongo-scala-driver) + (Apache 2) scalaj-http (org.scalaj:scalaj-http_2.10:2.3.0 - http://github.com/scalaj/scalaj-http) + (The Apache License, Version 2.0) empty (org.spark-project.spark:unused:1.0.0 - http://nexus.sonatype.org/oss-repository-hosting.html/unused) + (The Apache Software License, Version 2.0) snappy-java (org.xerial.snappy:snappy-java:1.1.2 - https://github.com/xerial/snappy-java) + (Apache license) zookeeper (org.apache.zookeeper:zookeeper:3.4.5 - no url defined) \ No newline at end of file diff --git a/pom.xml b/pom.xml index a3698d25b..f8686c608 100644 --- a/pom.xml +++ b/pom.xml @@ -107,7 +107,62 @@ under the License. ${maven.compiler.source} ${maven.compiler.target} - + + + org.apache.rat + apache-rat-plugin + ${maven-apache-rat.version} + + + + + .git/ + .gitignore + + **/.idea/ + **/.scalastyle/ + **/*.iml + **/.classpath + **/.settings/** + **/.project + + **/target/** + + **/*.patch + **/*.rej + + README* + DEPENDENCIES + **/licenses/* + **/*.log + **/*.out + **/*.db + **/velocity.log* + **/*.json + **/*.avro + **/*.dat + **/banner.txt + **/bower_components/** + **/node_modules/** + **/.tmp/** + **/angular/src/assets/.gitkeep + **/angular/.editorconfig + **/dist/** + **/.bowerrc + **/src/main/resources/public/** + **/pom.xml.releaseBackup + **/pom.xml.tag + + + + + rat-check + validate + + check + + + @@ -120,64 +175,4 @@ under the License. - - - apache-release - - - - org.apache.rat - apache-rat-plugin - ${maven-apache-rat.version} - - - - - .git/ - .gitignore - - **/.idea/ - **/.scalastyle/ - **/*.iml - **/.classpath - **/.settings/** - **/.project - - **/target/** - - **/*.patch - **/*.rej - - README* - **/*.log - **/*.out - **/*.db - **/velocity.log* - **/*.json - **/bower_components/** - **/node_modules/** - **/.tmp/** - **/angular/src/assets/.gitkeep - **/angular/.editorconfig - **/dist/** - **/.bowerrc - **/src/main/resources/public/** - **/pom.xml.releaseBackup - **/pom.xml.tag - - - - - rat-check - validate - - check - - - - - - - - \ No newline at end of file diff --git a/service/LICENSE b/service/LICENSE new file mode 100644 index 000000000..8fe9feceb --- /dev/null +++ b/service/LICENSE @@ -0,0 +1,412 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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See project link for details. + + (The Apache Software License, Version 2.0) livy-api (com.cloudera.livy:livy-api:0.3.0 - http://livy.io/livy-api/) + (The Apache Software License, Version 2.0) livy-client-common (com.cloudera.livy:livy-client-common:0.3.0 - http://livy.io/livy-client-common/) + (The Apache Software License, Version 2.0) livy-core_2.10 (com.cloudera.livy:livy-core_2.10:0.3.0 - http://livy.io/multi-scala-project-root/livy-core-parent/livy-core_2.10/) + (The Apache Software License, Version 2.0) ClassMate (com.fasterxml:classmate:1.3.3 - http://github.com/cowtowncoder/java-classmate) + (The Apache Software License, Version 2.0) Jackson-annotations (com.fasterxml.jackson.core:jackson-annotations:2.8.0 - http://github.com/FasterXML/jackson) + (The Apache Software License, Version 2.0) Jackson-core (com.fasterxml.jackson.core:jackson-core:2.8.6 - https://github.com/FasterXML/jackson-core) + (The Apache Software License, Version 2.0) jackson-databind (com.fasterxml.jackson.core:jackson-databind:2.6.3 - http://github.com/FasterXML/jackson) + (The Apache Software License, Version 2.0) FindBugs-jsr305 (com.google.code.findbugs:jsr305:3.0.0 - http://findbugs.sourceforge.net/) + (Apache 2.0) Gson (com.google.code.gson:gson:2.8.0 - https://github.com/google/gson/gson) + (The Apache Software License, Version 2.0) Guava: Google Core Libraries for Java (com.google.guava:guava:14.0.1 - http://code.google.com/p/guava-libraries/guava) + (The Apache Software License, Version 2.0) Google Guice - Core Library (com.google.inject:guice:3.0 - http://code.google.com/p/google-guice/guice/) + (The Apache Software License, Version 2.0) Google Guice - Extensions - Servlet (com.google.inject.extensions:guice-servlet:3.0 - http://code.google.com/p/google-guice/extensions-parent/guice-servlet/) + (Apache v2) BoneCP :: Core Library (com.jolbox:bonecp:0.8.0.RELEASE - http://jolbox.com/bonecp) + (The Apache Software License, Version 2.0) Apache Parquet Hadoop Bundle (Incubating) (com.twitter:parquet-hadoop-bundle:1.6.0 - https://parquet.incubator.apache.org) + (Apache License, Version 2.0) Apache Commons BeanUtils (commons-beanutils:commons-beanutils:1.9.3 - https://commons.apache.org/proper/commons-beanutils/) + (The Apache Software License, Version 2.0) Commons BeanUtils Core (commons-beanutils:commons-beanutils-core:1.8.0 - http://commons.apache.org/beanutils/) + (The Apache Software License, Version 2.0) Commons CLI (commons-cli:commons-cli:1.2 - http://commons.apache.org/cli/) + (Apache License, Version 2.0) Apache Commons Codec (commons-codec:commons-codec:1.10 - http://commons.apache.org/proper/commons-codec/) + (Apache License, Version 2.0) Apache Commons Collections (commons-collections:commons-collections:3.2.2 - http://commons.apache.org/collections/) + (The Apache Software License, Version 2.0) Commons Configuration (commons-configuration:commons-configuration:1.6 - http://commons.apache.org/${pom.artifactId.substring(8)}/) + (The Apache Software License, Version 2.0) Commons DBCP (commons-dbcp:commons-dbcp:1.4 - http://commons.apache.org/dbcp/) + (The Apache Software License, Version 2.0) Commons Digester (commons-digester:commons-digester:2.1 - http://commons.apache.org/digester/) + (Apache License) HttpClient (commons-httpclient:commons-httpclient:3.1 - http://jakarta.apache.org/httpcomponents/httpclient-3.x/) + (The Apache Software License, Version 2.0) Commons IO (commons-io:commons-io:2.4 - http://commons.apache.org/io/) + (The Apache Software License, Version 2.0) Commons Lang (commons-lang:commons-lang:2.6 - http://commons.apache.org/lang/) + (The Apache Software License, Version 2.0) Commons Logging (commons-logging:commons-logging:1.1.3 - http://commons.apache.org/proper/commons-logging/) + (The Apache Software License, Version 2.0) Commons Net (commons-net:commons-net:3.1 - http://commons.apache.org/net/) + (The Apache Software License, Version 2.0) Commons Pool (commons-pool:commons-pool:1.6 - http://commons.apache.org/pool/) + (Apache License 2.0) kafka-schema-registry-client (io.confluent:kafka-schema-registry-client:3.2.0 - http://confluent.io/kafka-schema-registry-client) + (Apache License, Version 2.0) The Netty Project (io.netty:netty:3.7.0.Final - http://netty.io/) + (Apache License, Version 2.0) Netty/All-in-One (io.netty:netty-all:4.0.23.Final - http://netty.io/netty-all/) + (The Apache Software License, Version 2.0) javax.inject (javax.inject:javax.inject:1 - http://code.google.com/p/atinject/) + (Apache 2) JDO API (javax.jdo:jdo-api:3.0.1 - http://db.apache.org/jdo) + (The Apache Software License, Version 2.0) Bean Validation API (javax.validation:validation-api:1.1.0.Final - http://beanvalidation.org) + (Apache 2) Joda-Time (joda-time:joda-time:2.9.7 - http://www.joda.org/joda-time/) + (The Apache Software License, Version 2.0) Apache Extras™ for Apache log4j™. 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http://directory.apache.org/apacheds/1.5/apacheds-kerberos-codec) + (Apache License, Version 2.0) Apache Hadoop Annotations (org.apache.hadoop:hadoop-annotations:2.7.1 - no url defined) + (Apache License, Version 2.0) Apache Hadoop Auth (org.apache.hadoop:hadoop-auth:2.7.1 - no url defined) + (Apache License, Version 2.0) Apache Hadoop Client (org.apache.hadoop:hadoop-client:2.7.1 - no url defined) + (Apache License, Version 2.0) Apache Hadoop Common (org.apache.hadoop:hadoop-common:2.7.1 - no url defined) + (Apache License, Version 2.0) Apache Hadoop HDFS (org.apache.hadoop:hadoop-hdfs:2.7.1 - no url defined) + (Apache License, Version 2.0) hadoop-mapreduce-client-app (org.apache.hadoop:hadoop-mapreduce-client-app:2.7.1 - no url defined) + (Apache License, Version 2.0) hadoop-mapreduce-client-common (org.apache.hadoop:hadoop-mapreduce-client-common:2.7.1 - no url defined) + (Apache License, Version 2.0) hadoop-mapreduce-client-core (org.apache.hadoop:hadoop-mapreduce-client-core:2.7.1 - no url defined) + (Apache License, Version 2.0) hadoop-mapreduce-client-jobclient (org.apache.hadoop:hadoop-mapreduce-client-jobclient:2.7.1 - no url defined) + (Apache License, Version 2.0) hadoop-mapreduce-client-shuffle (org.apache.hadoop:hadoop-mapreduce-client-shuffle:2.7.1 - no url defined) + (Apache License, Version 2.0) hadoop-yarn-api (org.apache.hadoop:hadoop-yarn-api:2.7.1 - no url defined) + (Apache License, Version 2.0) hadoop-yarn-client (org.apache.hadoop:hadoop-yarn-client:2.7.1 - no url defined) + (Apache License, Version 2.0) hadoop-yarn-common (org.apache.hadoop:hadoop-yarn-common:2.7.1 - no url defined) + (The Apache Software License, Version 2.0) hadoop-yarn-server-applicationhistoryservice (org.apache.hadoop:hadoop-yarn-server-applicationhistoryservice:2.6.0 - no url defined) + (Apache License, Version 2.0) hadoop-yarn-server-common (org.apache.hadoop:hadoop-yarn-server-common:2.7.1 - no url defined) + (The Apache Software License, Version 2.0) hadoop-yarn-server-resourcemanager (org.apache.hadoop:hadoop-yarn-server-resourcemanager:2.6.0 - no url defined) + (The Apache Software License, Version 2.0) hadoop-yarn-server-web-proxy (org.apache.hadoop:hadoop-yarn-server-web-proxy:2.6.0 - no url defined) + (The Apache Software License, Version 2.0) Hive Common (org.apache.hive:hive-common:1.2.1 - http://hive.apache.org/hive-common) + (The Apache Software License, Version 2.0) Hive Metastore (org.apache.hive:hive-metastore:1.2.1 - http://hive.apache.org/hive-metastore) + (The Apache Software License, Version 2.0) Hive Serde (org.apache.hive:hive-serde:1.2.1 - http://hive.apache.org/hive-serde) + (The Apache Software License, Version 2.0) Hive Shims (org.apache.hive:hive-shims:1.2.1 - http://hive.apache.org/hive-shims) + (The Apache Software License, Version 2.0) Hive Shims 0.20S (org.apache.hive.shims:hive-shims-0.20S:1.2.1 - http://hive.apache.org/hive-shims-0.20S) + (The Apache Software License, Version 2.0) Hive Shims 0.23 (org.apache.hive.shims:hive-shims-0.23:1.2.1 - http://hive.apache.org/hive-shims-0.23) + (The Apache Software License, Version 2.0) Hive Shims Common (org.apache.hive.shims:hive-shims-common:1.2.1 - http://hive.apache.org/hive-shims-common) + (The Apache Software License, Version 2.0) Hive Shims Scheduler (org.apache.hive.shims:hive-shims-scheduler:1.2.1 - http://hive.apache.org/hive-shims-scheduler) + (The Apache Software License, Version 2.0) htrace-core (org.apache.htrace:htrace-core:3.1.0-incubating - http://incubator.apache.org/projects/htrace.html) + (Apache License, Version 2.0) Apache HttpAsyncClient (org.apache.httpcomponents:httpasyncclient:4.1.2 - http://hc.apache.org/httpcomponents-asyncclient) + (Apache License, Version 2.0) Apache HttpClient (org.apache.httpcomponents:httpclient:4.5.2 - http://hc.apache.org/httpcomponents-client) + (Apache License, Version 2.0) Apache HttpCore (org.apache.httpcomponents:httpcore:4.4.6 - http://hc.apache.org/httpcomponents-core-ga) + (Apache License, Version 2.0) Apache HttpCore NIO (org.apache.httpcomponents:httpcore-nio:4.4.5 - http://hc.apache.org/httpcomponents-core-ga) + (The Apache Software License, Version 2.0) Apache Thrift (org.apache.thrift:libfb303:0.9.2 - http://thrift.apache.org) + (The Apache Software License, Version 2.0) Apache Thrift (org.apache.thrift:libthrift:0.9.2 - http://thrift.apache.org) + (Apache License, Version 2.0) tomcat-jdbc (org.apache.tomcat:tomcat-jdbc:8.5.11 - http://tomcat.apache.org/) + (Apache License, Version 2.0) tomcat-juli (org.apache.tomcat:tomcat-juli:8.5.11 - http://tomcat.apache.org/) + (Apache License, Version 2.0) tomcat-embed-core (org.apache.tomcat.embed:tomcat-embed-core:8.5.11 - http://tomcat.apache.org/) + (Apache License, Version 2.0) tomcat-embed-el (org.apache.tomcat.embed:tomcat-embed-el:8.5.11 - http://tomcat.apache.org/) + (Apache License, Version 2.0) tomcat-embed-websocket (org.apache.tomcat.embed:tomcat-embed-websocket:8.5.11 - http://tomcat.apache.org/) + (The Apache Software License, Version 2.0) Jackson (org.codehaus.jackson:jackson-core-asl:1.9.13 - http://jackson.codehaus.org) + (The Apache Software License, Version 2.0) Data Mapper for Jackson (org.codehaus.jackson:jackson-mapper-asl:1.9.13 - http://jackson.codehaus.org) + (The Apache Software License, Version 2.0) DataNucleus JDO API plugin (org.datanucleus:datanucleus-api-jdo:3.2.6 - http://www.datanucleus.org) + (The Apache Software License, Version 2.0) DataNucleus Core (org.datanucleus:datanucleus-core:3.2.10 - http://www.datanucleus.org) + (The Apache Software License, Version 2.0) DataNucleus RDBMS (org.datanucleus:datanucleus-rdbms:3.2.9 - http://www.datanucleus.org) + (The Apache Software License, Version 2.0) rest (org.elasticsearch.client:elasticsearch-rest-client:6.0.1 - https://github.com/elastic/elasticsearch) + (Apache License, Version 2.0) Hibernate Validator Engine (org.hibernate:hibernate-validator:5.3.4.Final - http://hibernate.org/validator/hibernate-validator) + (Apache License 2.0) (LGPL 2.1) (MPL 1.1) Javassist (org.javassist:javassist:3.21.0-GA - http://www.javassist.org/) + (Apache License, Version 2.0) Java Annotation Indexer (org.jboss:jandex:2.0.0.Final - http://www.jboss.org/jandex) + (Apache License, version 2.0) JBoss Logging 3 (org.jboss.logging:jboss-logging:3.3.0.Final - http://www.jboss.org) + (Apache Software License - Version 2.0) (Eclipse Public License - Version 1.0) Jetty Server (org.mortbay.jetty:jetty:6.1.26 - http://www.eclipse.org/jetty/jetty-parent/project/modules/jetty) + (Apache Software License - Version 2.0) (Eclipse Public License - Version 1.0) Jetty Utilities (org.mortbay.jetty:jetty-util:6.1.26 - http://www.eclipse.org/jetty/jetty-parent/project/jetty-util) + (The Apache Software License, Version 2.0) quartz (org.quartz-scheduler:quartz:2.2.2 - http://www.quartz-scheduler.org/quartz) + (The Apache Software License, Version 2.0) quartz-jobs (org.quartz-scheduler:quartz-jobs:2.2.2 - http://www.quartz-scheduler.org/quartz-jobs) + (Apache Software Licenses) Log4j Implemented Over SLF4J (org.slf4j:log4j-over-slf4j:1.7.22 - http://www.slf4j.org) + (The Apache Software License, Version 2.0) Spring AOP (org.springframework:spring-aop:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (The Apache Software License, Version 2.0) Spring Aspects (org.springframework:spring-aspects:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (The Apache Software License, Version 2.0) Spring Beans (org.springframework:spring-beans:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (The Apache Software License, Version 2.0) Spring Context (org.springframework:spring-context:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (The Apache Software License, Version 2.0) Spring Context Support (org.springframework:spring-context-support:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (The Apache Software License, Version 2.0) Spring Core (org.springframework:spring-core:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (The Apache Software License, Version 2.0) Spring Expression Language (SpEL) (org.springframework:spring-expression:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (The Apache Software License, Version 2.0) Spring JDBC (org.springframework:spring-jdbc:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (The Apache Software License, Version 2.0) Spring Object/Relational Mapping (org.springframework:spring-orm:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (The Apache Software License, Version 2.0) Spring Transaction (org.springframework:spring-tx:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (The Apache Software License, Version 2.0) Spring Web (org.springframework:spring-web:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (The Apache Software License, Version 2.0) Spring Web MVC (org.springframework:spring-webmvc:4.3.6.RELEASE - https://github.com/spring-projects/spring-framework) + (Apache License, Version 2.0) Spring Boot (org.springframework.boot:spring-boot:1.5.1.RELEASE - http://projects.spring.io/spring-boot/) + (Apache License, Version 2.0) Spring Boot AutoConfigure (org.springframework.boot:spring-boot-autoconfigure:1.5.1.RELEASE - http://projects.spring.io/spring-boot/) + (Apache License, Version 2.0) Spring Boot Starter (org.springframework.boot:spring-boot-starter:1.5.1.RELEASE - http://projects.spring.io/spring-boot/) + (Apache License, Version 2.0) Spring Boot AOP Starter (org.springframework.boot:spring-boot-starter-aop:1.5.1.RELEASE - http://projects.spring.io/spring-boot/) + (Apache License, Version 2.0) Spring Boot Data JPA Starter (org.springframework.boot:spring-boot-starter-data-jpa:1.5.1.RELEASE - http://projects.spring.io/spring-boot/) + (Apache License, Version 2.0) Spring Boot JDBC Starter (org.springframework.boot:spring-boot-starter-jdbc:1.5.1.RELEASE - http://projects.spring.io/spring-boot/) + (Apache License, Version 2.0) Spring Boot Logging Starter (org.springframework.boot:spring-boot-starter-logging:1.5.1.RELEASE - http://projects.spring.io/spring-boot/) + (Apache License, Version 2.0) Spring Boot Tomcat Starter (org.springframework.boot:spring-boot-starter-tomcat:1.5.1.RELEASE - http://projects.spring.io/spring-boot/) + (Apache License, Version 2.0) Spring Boot Web Starter (org.springframework.boot:spring-boot-starter-web:1.5.1.RELEASE - http://projects.spring.io/spring-boot/) + (Apache License, Version 2.0) Spring Data Core (org.springframework.data:spring-data-commons:1.13.0.RELEASE - http://www.spring.io/spring-data/spring-data-commons) + (Apache License, Version 2.0) Spring Data JPA (org.springframework.data:spring-data-jpa:1.11.0.RELEASE - http://projects.spring.io/spring-data-jpa) + (Apache 2.0) Spring Retry (org.springframework.retry:spring-retry:1.2.0.RELEASE - http://www.springsource.org) + (The Apache Software License, Version 2.0) Snappy for Java (org.xerial.snappy:snappy-java:1.0.5 - http://github.com/xerial/snappy-java/) + (Apache License, Version 2.0) SnakeYAML (org.yaml:snakeyaml:1.17 - http://www.snakeyaml.org) + (The Apache Software License, Version 2.0) Xerces2 Java Parser (xerces:xercesImpl:2.9.1 - http://xerces.apache.org/xerces2-j) + (The Apache Software License, Version 2.0) (The SAX License) (The W3C License) XML Commons External Components XML APIs (xml-apis:xml-apis:1.4.01 - http://xml.apache.org/commons/components/external/) + (Apache 2.0) zookeeper (org.apache.zookeeper:zookeeper:3.4.6 - no url defined) + (Apache 2.0) Jettison (org.codehaus.jettison:jettison:1.1 - no url defined) + (GNU Lesser General Public License (LGPL), Version 2.1) (The Apache Software License, Version 2.0) JAX-RS provider for JSON content type (org.codehaus.jackson:jackson-jaxrs:1.9.13 - http://jackson.codehaus.org) + (GNU Lesser General Public License (LGPL), Version 2.1) (The Apache Software License, Version 2.0) Xml Compatibility extensions for Jackson (org.codehaus.jackson:jackson-xc:1.9.13 - http://jackson.codehaus.org) diff --git a/service/pom.xml b/service/pom.xml index eb1e066fd..6fa005a81 100644 --- a/service/pom.xml +++ b/service/pom.xml @@ -76,6 +76,7 @@ under the License. org.springframework.boot spring-boot-starter-data-jpa + provided diff --git a/service/src/main/resources/Init_quartz_derby.sql b/service/src/main/resources/Init_quartz_derby.sql index ba517db63..9377097b2 100644 --- a/service/src/main/resources/Init_quartz_derby.sql +++ b/service/src/main/resources/Init_quartz_derby.sql @@ -6,9 +6,9 @@ -- to you under the Apache License, Version 2.0 (the -- "License"); you may not use this file except in compliance -- with the License. You may obtain a copy of the License at --- +-- -- http://www.apache.org/licenses/LICENSE-2.0 --- +-- -- Unless required by applicable law or agreed to in writing, -- software distributed under the License is distributed on an -- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY @@ -16,172 +16,173 @@ -- specific language governing permissions and limitations -- under the License. - -DROP TABLE QRTZ_FIRED_TRIGGERS; -DROP TABLE QRTZ_PAUSED_TRIGGER_GRPS; -DROP TABLE QRTZ_SCHEDULER_STATE; -DROP TABLE QRTZ_LOCKS; -DROP TABLE QRTZ_SIMPLE_TRIGGERS; -DROP TABLE QRTZ_SIMPROP_TRIGGERS; -DROP TABLE QRTZ_CRON_TRIGGERS; -DROP TABLE QRTZ_BLOB_TRIGGERS; -DROP TABLE QRTZ_TRIGGERS; -DROP TABLE QRTZ_JOB_DETAILS; -DROP TABLE QRTZ_CALENDARS; - -CREATE TABLE QRTZ_JOB_DETAILS( - SCHED_NAME VARCHAR(120) NOT NULL, - JOB_NAME VARCHAR(200) NOT NULL, - JOB_GROUP VARCHAR(200) NOT NULL, - DESCRIPTION VARCHAR(250), - JOB_CLASS_NAME VARCHAR(250) NOT NULL, - IS_DURABLE BOOLEAN NOT NULL, - IS_NONCONCURRENT BOOLEAN NOT NULL, - IS_UPDATE_DATA BOOLEAN NOT NULL, - REQUESTS_RECOVERY BOOLEAN NOT NULL, - JOB_DATA BLOB, - PRIMARY KEY (SCHED_NAME,JOB_NAME,JOB_GROUP)); --- ENGINE=InnoDB; - -CREATE TABLE QRTZ_TRIGGERS ( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - JOB_NAME VARCHAR(200) NOT NULL, - JOB_GROUP VARCHAR(200) NOT NULL, - DESCRIPTION VARCHAR(250), - NEXT_FIRE_TIME BIGINT, - PREV_FIRE_TIME BIGINT, - PRIORITY INTEGER, - TRIGGER_STATE VARCHAR(16) NOT NULL, - TRIGGER_TYPE VARCHAR(8) NOT NULL, - START_TIME BIGINT NOT NULL, - END_TIME BIGINT, - CALENDAR_NAME VARCHAR(200), - MISFIRE_INSTR SMALLINT, - JOB_DATA BLOB, - PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), - FOREIGN KEY (SCHED_NAME,JOB_NAME,JOB_GROUP) - REFERENCES QRTZ_JOB_DETAILS(SCHED_NAME,JOB_NAME,JOB_GROUP)); --- ENGINE=InnoDB; - -CREATE TABLE QRTZ_SIMPLE_TRIGGERS ( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - REPEAT_COUNT BIGINT NOT NULL, - REPEAT_INTERVAL BIGINT NOT NULL, - TIMES_TRIGGERED BIGINT NOT NULL, - PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), - FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) - REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)); --- ENGINE=InnoDB; - -CREATE TABLE QRTZ_CRON_TRIGGERS ( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - CRON_EXPRESSION VARCHAR(120) NOT NULL, - TIME_ZONE_ID VARCHAR(80), - PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), - FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) - REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)); --- ENGINE=InnoDB; - -CREATE TABLE QRTZ_SIMPROP_TRIGGERS -( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - STR_PROP_1 VARCHAR(512), - STR_PROP_2 VARCHAR(512), - STR_PROP_3 VARCHAR(512), - INT_PROP_1 INT, - INT_PROP_2 INT, - LONG_PROP_1 BIGINT, - LONG_PROP_2 BIGINT, - DEC_PROP_1 NUMERIC(13,4), - DEC_PROP_2 NUMERIC(13,4), - BOOL_PROP_1 BOOLEAN, - BOOL_PROP_2 BOOLEAN, - PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), - FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) - REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)); --- ENGINE=InnoDB; - -CREATE TABLE QRTZ_BLOB_TRIGGERS ( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - BLOB_DATA BLOB, - PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), - FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) - REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)); - -CREATE INDEX SCHED_NAME ON QRTZ_BLOB_TRIGGERS(SCHED_NAME); -CREATE INDEX TRIGGER_NAME ON QRTZ_BLOB_TRIGGERS(TRIGGER_NAME); -CREATE INDEX TRIGGER_GROUP ON QRTZ_BLOB_TRIGGERS(TRIGGER_GROUP); - -CREATE TABLE QRTZ_CALENDARS ( - SCHED_NAME VARCHAR(120) NOT NULL, - CALENDAR_NAME VARCHAR(200) NOT NULL, - CALENDAR BLOB NOT NULL, - PRIMARY KEY (SCHED_NAME,CALENDAR_NAME)); - -CREATE TABLE QRTZ_PAUSED_TRIGGER_GRPS ( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - PRIMARY KEY (SCHED_NAME,TRIGGER_GROUP)); - -CREATE TABLE QRTZ_FIRED_TRIGGERS ( - SCHED_NAME VARCHAR(120) NOT NULL, - ENTRY_ID VARCHAR(95) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - INSTANCE_NAME VARCHAR(200) NOT NULL, - FIRED_TIME BIGINT NOT NULL, - SCHED_TIME BIGINT NOT NULL, - PRIORITY INTEGER NOT NULL, - STATE VARCHAR(16) NOT NULL, - JOB_NAME VARCHAR(200), - JOB_GROUP VARCHAR(200), - IS_NONCONCURRENT BOOLEAN, - REQUESTS_RECOVERY BOOLEAN, - PRIMARY KEY (SCHED_NAME,ENTRY_ID)); - -CREATE TABLE QRTZ_SCHEDULER_STATE ( - SCHED_NAME VARCHAR(120) NOT NULL, - INSTANCE_NAME VARCHAR(200) NOT NULL, - LAST_CHECKIN_TIME BIGINT NOT NULL, - CHECKIN_INTERVAL BIGINT NOT NULL, - PRIMARY KEY (SCHED_NAME,INSTANCE_NAME)); - -CREATE TABLE QRTZ_LOCKS ( - SCHED_NAME VARCHAR(120) NOT NULL, - LOCK_NAME VARCHAR(40) NOT NULL, - PRIMARY KEY (SCHED_NAME,LOCK_NAME)); - -CREATE INDEX IDX_QRTZ_J_REQ_RECOVERY ON QRTZ_JOB_DETAILS(SCHED_NAME,REQUESTS_RECOVERY); -CREATE INDEX IDX_QRTZ_J_GRP ON QRTZ_JOB_DETAILS(SCHED_NAME,JOB_GROUP); - -CREATE INDEX IDX_QRTZ_T_J ON QRTZ_TRIGGERS(SCHED_NAME,JOB_NAME,JOB_GROUP); -CREATE INDEX IDX_QRTZ_T_JG ON QRTZ_TRIGGERS(SCHED_NAME,JOB_GROUP); -CREATE INDEX IDX_QRTZ_T_C ON QRTZ_TRIGGERS(SCHED_NAME,CALENDAR_NAME); -CREATE INDEX IDX_QRTZ_T_G ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_GROUP); -CREATE INDEX IDX_QRTZ_T_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_STATE); -CREATE INDEX IDX_QRTZ_T_N_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP,TRIGGER_STATE); -CREATE INDEX IDX_QRTZ_T_N_G_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_GROUP,TRIGGER_STATE); -CREATE INDEX IDX_QRTZ_T_NEXT_FIRE_TIME ON QRTZ_TRIGGERS(SCHED_NAME,NEXT_FIRE_TIME); -CREATE INDEX IDX_QRTZ_T_NFT_ST ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_STATE,NEXT_FIRE_TIME); -CREATE INDEX IDX_QRTZ_T_NFT_MISFIRE ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME); -CREATE INDEX IDX_QRTZ_T_NFT_ST_MISFIRE ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_STATE); -CREATE INDEX IDX_QRTZ_T_NFT_ST_MISFIRE_GRP ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_GROUP,TRIGGER_STATE); - -CREATE INDEX IDX_QRTZ_FT_TRIG_INST_NAME ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,INSTANCE_NAME); -CREATE INDEX IDX_QRTZ_FT_INST_JOB_REQ_RCVRY ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,INSTANCE_NAME,REQUESTS_RECOVERY); -CREATE INDEX IDX_QRTZ_FT_J_G ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,JOB_NAME,JOB_GROUP); -CREATE INDEX IDX_QRTZ_FT_JG ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,JOB_GROUP); -CREATE INDEX IDX_QRTZ_FT_T_G ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP); -CREATE INDEX IDX_QRTZ_FT_TG ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,TRIGGER_GROUP); - -commit; \ No newline at end of file +-- +-- Known to work with Apache Derby 10.0.2.1, or 10.6.2.1 +-- +-- Updated by Zemian Deng on 08/21/2011 +-- * Fixed nullable fields on qrtz_simprop_triggers table. +-- * Added Derby QuickStart comments and drop tables statements. +-- +-- DerbyDB + Quartz Quick Guide: +-- * Derby comes with Oracle JDK! For Java6, it default install into C:/Program Files/Sun/JavaDB on Windows. +-- 1. Create a derby.properties file under JavaDB directory, and have the following: +-- derby.connection.requireAuthentication = true +-- derby.authentication.provider = BUILTIN +-- derby.user.quartz2=quartz2123 +-- 2. Start the DB server by running bin/startNetworkServer script. +-- 3. On a new terminal, run bin/ij tool to bring up an SQL prompt, then run: +-- connect 'jdbc:derby://localhost:1527/quartz2;user=quartz2;password=quartz2123;create=true'; +-- run 'quartz/docs/dbTables/tables_derby.sql'; +-- Now in quartz.properties, you may use these properties: +-- org.quartz.dataSource.quartzDataSource.driver = org.apache.derby.jdbc.ClientDriver +-- org.quartz.dataSource.quartzDataSource.URL = jdbc:derby://localhost:1527/quartz2 +-- org.quartz.dataSource.quartzDataSource.user = quartz2 +-- org.quartz.dataSource.quartzDataSource.password = quartz2123 +-- + +-- Auto drop and reset tables +-- Derby doesn't support if exists condition on table drop, so user must manually do this step if needed to. +-- drop table qrtz_fired_triggers; +-- drop table qrtz_paused_trigger_grps; +-- drop table qrtz_scheduler_state; +-- drop table qrtz_locks; +-- drop table qrtz_simple_triggers; +-- drop table qrtz_simprop_triggers; +-- drop table qrtz_cron_triggers; +-- drop table qrtz_blob_triggers; +-- drop table qrtz_triggers; +-- drop table qrtz_job_details; +-- drop table qrtz_calendars; + +create table qrtz_job_details ( +sched_name varchar(120) not null, +job_name varchar(200) not null, +job_group varchar(200) not null, +description varchar(250) , +job_class_name varchar(250) not null, +is_durable varchar(5) not null, +is_nonconcurrent varchar(5) not null, +is_update_data varchar(5) not null, +requests_recovery varchar(5) not null, +job_data blob, +primary key (sched_name,job_name,job_group) +); + +create table qrtz_triggers( +sched_name varchar(120) not null, +trigger_name varchar(200) not null, +trigger_group varchar(200) not null, +job_name varchar(200) not null, +job_group varchar(200) not null, +description varchar(250), +next_fire_time bigint, +prev_fire_time bigint, +priority integer, +trigger_state varchar(16) not null, +trigger_type varchar(8) not null, +start_time bigint not null, +end_time bigint, +calendar_name varchar(200), +misfire_instr smallint, +job_data blob, +primary key (sched_name,trigger_name,trigger_group), +foreign key (sched_name,job_name,job_group) references qrtz_job_details(sched_name,job_name,job_group) +); + +create table qrtz_simple_triggers( +sched_name varchar(120) not null, +trigger_name varchar(200) not null, +trigger_group varchar(200) not null, +repeat_count bigint not null, +repeat_interval bigint not null, +times_triggered bigint not null, +primary key (sched_name,trigger_name,trigger_group), +foreign key (sched_name,trigger_name,trigger_group) references qrtz_triggers(sched_name,trigger_name,trigger_group) +); + +create table qrtz_cron_triggers( +sched_name varchar(120) not null, +trigger_name varchar(200) not null, +trigger_group varchar(200) not null, +cron_expression varchar(120) not null, +time_zone_id varchar(80), +primary key (sched_name,trigger_name,trigger_group), +foreign key (sched_name,trigger_name,trigger_group) references qrtz_triggers(sched_name,trigger_name,trigger_group) +); + +create table qrtz_simprop_triggers + ( + sched_name varchar(120) not null, + trigger_name varchar(200) not null, + trigger_group varchar(200) not null, + str_prop_1 varchar(512), + str_prop_2 varchar(512), + str_prop_3 varchar(512), + int_prop_1 int, + int_prop_2 int, + long_prop_1 bigint, + long_prop_2 bigint, + dec_prop_1 numeric(13,4), + dec_prop_2 numeric(13,4), + bool_prop_1 varchar(5), + bool_prop_2 varchar(5), + primary key (sched_name,trigger_name,trigger_group), + foreign key (sched_name,trigger_name,trigger_group) + references qrtz_triggers(sched_name,trigger_name,trigger_group) +); + +create table qrtz_blob_triggers( +sched_name varchar(120) not null, +trigger_name varchar(200) not null, +trigger_group varchar(200) not null, +blob_data blob, +primary key (sched_name,trigger_name,trigger_group), +foreign key (sched_name,trigger_name,trigger_group) references qrtz_triggers(sched_name,trigger_name,trigger_group) +); + +create table qrtz_calendars( +sched_name varchar(120) not null, +calendar_name varchar(200) not null, +calendar blob not null, +primary key (sched_name,calendar_name) +); + +create table qrtz_paused_trigger_grps + ( + sched_name varchar(120) not null, + trigger_group varchar(200) not null, +primary key (sched_name,trigger_group) +); + +create table qrtz_fired_triggers( +sched_name varchar(120) not null, +entry_id varchar(95) not null, +trigger_name varchar(200) not null, +trigger_group varchar(200) not null, +instance_name varchar(200) not null, +fired_time bigint not null, +sched_time bigint not null, +priority integer not null, +state varchar(16) not null, +job_name varchar(200), +job_group varchar(200), +is_nonconcurrent varchar(5), +requests_recovery varchar(5), +primary key (sched_name,entry_id) +); + +create table qrtz_scheduler_state + ( + sched_name varchar(120) not null, + instance_name varchar(200) not null, + last_checkin_time bigint not null, + checkin_interval bigint not null, +primary key (sched_name,instance_name) +); + +create table qrtz_locks + ( + sched_name varchar(120) not null, + lock_name varchar(40) not null, +primary key (sched_name,lock_name) +); \ No newline at end of file diff --git a/service/src/main/resources/Init_quartz_derby.sql.bak b/service/src/main/resources/Init_quartz_derby.sql.bak new file mode 100644 index 000000000..ba517db63 --- /dev/null +++ b/service/src/main/resources/Init_quartz_derby.sql.bak @@ -0,0 +1,187 @@ + +-- Licensed to the Apache Software Foundation (ASF) under one +-- or more contributor license agreements. See the NOTICE file +-- distributed with this work for additional information +-- regarding copyright ownership. The ASF licenses this file +-- to you under the Apache License, Version 2.0 (the +-- "License"); you may not use this file except in compliance +-- with the License. You may obtain a copy of the License at +-- +-- http://www.apache.org/licenses/LICENSE-2.0 +-- +-- Unless required by applicable law or agreed to in writing, +-- software distributed under the License is distributed on an +-- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +-- KIND, either express or implied. See the License for the +-- specific language governing permissions and limitations +-- under the License. + + +DROP TABLE QRTZ_FIRED_TRIGGERS; +DROP TABLE QRTZ_PAUSED_TRIGGER_GRPS; +DROP TABLE QRTZ_SCHEDULER_STATE; +DROP TABLE QRTZ_LOCKS; +DROP TABLE QRTZ_SIMPLE_TRIGGERS; +DROP TABLE QRTZ_SIMPROP_TRIGGERS; +DROP TABLE QRTZ_CRON_TRIGGERS; +DROP TABLE QRTZ_BLOB_TRIGGERS; +DROP TABLE QRTZ_TRIGGERS; +DROP TABLE QRTZ_JOB_DETAILS; +DROP TABLE QRTZ_CALENDARS; + +CREATE TABLE QRTZ_JOB_DETAILS( + SCHED_NAME VARCHAR(120) NOT NULL, + JOB_NAME VARCHAR(200) NOT NULL, + JOB_GROUP VARCHAR(200) NOT NULL, + DESCRIPTION VARCHAR(250), + JOB_CLASS_NAME VARCHAR(250) NOT NULL, + IS_DURABLE BOOLEAN NOT NULL, + IS_NONCONCURRENT BOOLEAN NOT NULL, + IS_UPDATE_DATA BOOLEAN NOT NULL, + REQUESTS_RECOVERY BOOLEAN NOT NULL, + JOB_DATA BLOB, + PRIMARY KEY (SCHED_NAME,JOB_NAME,JOB_GROUP)); +-- ENGINE=InnoDB; + +CREATE TABLE QRTZ_TRIGGERS ( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + JOB_NAME VARCHAR(200) NOT NULL, + JOB_GROUP VARCHAR(200) NOT NULL, + DESCRIPTION VARCHAR(250), + NEXT_FIRE_TIME BIGINT, + PREV_FIRE_TIME BIGINT, + PRIORITY INTEGER, + TRIGGER_STATE VARCHAR(16) NOT NULL, + TRIGGER_TYPE VARCHAR(8) NOT NULL, + START_TIME BIGINT NOT NULL, + END_TIME BIGINT, + CALENDAR_NAME VARCHAR(200), + MISFIRE_INSTR SMALLINT, + JOB_DATA BLOB, + PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), + FOREIGN KEY (SCHED_NAME,JOB_NAME,JOB_GROUP) + REFERENCES QRTZ_JOB_DETAILS(SCHED_NAME,JOB_NAME,JOB_GROUP)); +-- ENGINE=InnoDB; + +CREATE TABLE QRTZ_SIMPLE_TRIGGERS ( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + REPEAT_COUNT BIGINT NOT NULL, + REPEAT_INTERVAL BIGINT NOT NULL, + TIMES_TRIGGERED BIGINT NOT NULL, + PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), + FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) + REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)); +-- ENGINE=InnoDB; + +CREATE TABLE QRTZ_CRON_TRIGGERS ( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + CRON_EXPRESSION VARCHAR(120) NOT NULL, + TIME_ZONE_ID VARCHAR(80), + PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), + FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) + REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)); +-- ENGINE=InnoDB; + +CREATE TABLE QRTZ_SIMPROP_TRIGGERS +( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + STR_PROP_1 VARCHAR(512), + STR_PROP_2 VARCHAR(512), + STR_PROP_3 VARCHAR(512), + INT_PROP_1 INT, + INT_PROP_2 INT, + LONG_PROP_1 BIGINT, + LONG_PROP_2 BIGINT, + DEC_PROP_1 NUMERIC(13,4), + DEC_PROP_2 NUMERIC(13,4), + BOOL_PROP_1 BOOLEAN, + BOOL_PROP_2 BOOLEAN, + PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), + FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) + REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)); +-- ENGINE=InnoDB; + +CREATE TABLE QRTZ_BLOB_TRIGGERS ( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + BLOB_DATA BLOB, + PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), + FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) + REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)); + +CREATE INDEX SCHED_NAME ON QRTZ_BLOB_TRIGGERS(SCHED_NAME); +CREATE INDEX TRIGGER_NAME ON QRTZ_BLOB_TRIGGERS(TRIGGER_NAME); +CREATE INDEX TRIGGER_GROUP ON QRTZ_BLOB_TRIGGERS(TRIGGER_GROUP); + +CREATE TABLE QRTZ_CALENDARS ( + SCHED_NAME VARCHAR(120) NOT NULL, + CALENDAR_NAME VARCHAR(200) NOT NULL, + CALENDAR BLOB NOT NULL, + PRIMARY KEY (SCHED_NAME,CALENDAR_NAME)); + +CREATE TABLE QRTZ_PAUSED_TRIGGER_GRPS ( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + PRIMARY KEY (SCHED_NAME,TRIGGER_GROUP)); + +CREATE TABLE QRTZ_FIRED_TRIGGERS ( + SCHED_NAME VARCHAR(120) NOT NULL, + ENTRY_ID VARCHAR(95) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + INSTANCE_NAME VARCHAR(200) NOT NULL, + FIRED_TIME BIGINT NOT NULL, + SCHED_TIME BIGINT NOT NULL, + PRIORITY INTEGER NOT NULL, + STATE VARCHAR(16) NOT NULL, + JOB_NAME VARCHAR(200), + JOB_GROUP VARCHAR(200), + IS_NONCONCURRENT BOOLEAN, + REQUESTS_RECOVERY BOOLEAN, + PRIMARY KEY (SCHED_NAME,ENTRY_ID)); + +CREATE TABLE QRTZ_SCHEDULER_STATE ( + SCHED_NAME VARCHAR(120) NOT NULL, + INSTANCE_NAME VARCHAR(200) NOT NULL, + LAST_CHECKIN_TIME BIGINT NOT NULL, + CHECKIN_INTERVAL BIGINT NOT NULL, + PRIMARY KEY (SCHED_NAME,INSTANCE_NAME)); + +CREATE TABLE QRTZ_LOCKS ( + SCHED_NAME VARCHAR(120) NOT NULL, + LOCK_NAME VARCHAR(40) NOT NULL, + PRIMARY KEY (SCHED_NAME,LOCK_NAME)); + +CREATE INDEX IDX_QRTZ_J_REQ_RECOVERY ON QRTZ_JOB_DETAILS(SCHED_NAME,REQUESTS_RECOVERY); +CREATE INDEX IDX_QRTZ_J_GRP ON QRTZ_JOB_DETAILS(SCHED_NAME,JOB_GROUP); + +CREATE INDEX IDX_QRTZ_T_J ON QRTZ_TRIGGERS(SCHED_NAME,JOB_NAME,JOB_GROUP); +CREATE INDEX IDX_QRTZ_T_JG ON QRTZ_TRIGGERS(SCHED_NAME,JOB_GROUP); +CREATE INDEX IDX_QRTZ_T_C ON QRTZ_TRIGGERS(SCHED_NAME,CALENDAR_NAME); +CREATE INDEX IDX_QRTZ_T_G ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_GROUP); +CREATE INDEX IDX_QRTZ_T_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_STATE); +CREATE INDEX IDX_QRTZ_T_N_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP,TRIGGER_STATE); +CREATE INDEX IDX_QRTZ_T_N_G_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_GROUP,TRIGGER_STATE); +CREATE INDEX IDX_QRTZ_T_NEXT_FIRE_TIME ON QRTZ_TRIGGERS(SCHED_NAME,NEXT_FIRE_TIME); +CREATE INDEX IDX_QRTZ_T_NFT_ST ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_STATE,NEXT_FIRE_TIME); +CREATE INDEX IDX_QRTZ_T_NFT_MISFIRE ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME); +CREATE INDEX IDX_QRTZ_T_NFT_ST_MISFIRE ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_STATE); +CREATE INDEX IDX_QRTZ_T_NFT_ST_MISFIRE_GRP ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_GROUP,TRIGGER_STATE); + +CREATE INDEX IDX_QRTZ_FT_TRIG_INST_NAME ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,INSTANCE_NAME); +CREATE INDEX IDX_QRTZ_FT_INST_JOB_REQ_RCVRY ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,INSTANCE_NAME,REQUESTS_RECOVERY); +CREATE INDEX IDX_QRTZ_FT_J_G ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,JOB_NAME,JOB_GROUP); +CREATE INDEX IDX_QRTZ_FT_JG ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,JOB_GROUP); +CREATE INDEX IDX_QRTZ_FT_T_G ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP); +CREATE INDEX IDX_QRTZ_FT_TG ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,TRIGGER_GROUP); + +commit; \ No newline at end of file diff --git a/service/src/main/resources/Init_quartz.sql b/service/src/main/resources/Init_quartz_mysql.sql similarity index 100% rename from service/src/main/resources/Init_quartz.sql rename to service/src/main/resources/Init_quartz_mysql.sql diff --git a/service/src/main/resources/Init_quartz_postgres.sql b/service/src/main/resources/Init_quartz_postgres.sql new file mode 100644 index 000000000..fb6e813b8 --- /dev/null +++ b/service/src/main/resources/Init_quartz_postgres.sql @@ -0,0 +1,203 @@ + +-- Licensed to the Apache Software Foundation (ASF) under one +-- or more contributor license agreements. See the NOTICE file +-- distributed with this work for additional information +-- regarding copyright ownership. The ASF licenses this file +-- to you under the Apache License, Version 2.0 (the +-- "License"); you may not use this file except in compliance +-- with the License. You may obtain a copy of the License at +-- +-- http://www.apache.org/licenses/LICENSE-2.0 +-- +-- Unless required by applicable law or agreed to in writing, +-- software distributed under the License is distributed on an +-- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +-- KIND, either express or implied. See the License for the +-- specific language governing permissions and limitations +-- under the License. + +-- In your Quartz properties file, you'll need to set +-- org.quartz.jobStore.driverDelegateClass = org.quartz.impl.jdbcjobstore.PostgreSQLDelegate + +drop table qrtz_fired_triggers; +DROP TABLE QRTZ_PAUSED_TRIGGER_GRPS; +DROP TABLE QRTZ_SCHEDULER_STATE; +DROP TABLE QRTZ_LOCKS; +drop table qrtz_simple_triggers; +drop table qrtz_cron_triggers; +drop table qrtz_simprop_triggers; +DROP TABLE QRTZ_BLOB_TRIGGERS; +drop table qrtz_triggers; +drop table qrtz_job_details; +drop table qrtz_calendars; + +CREATE TABLE qrtz_job_details + ( + SCHED_NAME VARCHAR(120) NOT NULL, + JOB_NAME VARCHAR(200) NOT NULL, + JOB_GROUP VARCHAR(200) NOT NULL, + DESCRIPTION VARCHAR(250) NULL, + JOB_CLASS_NAME VARCHAR(250) NOT NULL, + IS_DURABLE BOOL NOT NULL, + IS_NONCONCURRENT BOOL NOT NULL, + IS_UPDATE_DATA BOOL NOT NULL, + REQUESTS_RECOVERY BOOL NOT NULL, + JOB_DATA BYTEA NULL, + PRIMARY KEY (SCHED_NAME,JOB_NAME,JOB_GROUP) +); + +CREATE TABLE qrtz_triggers + ( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + JOB_NAME VARCHAR(200) NOT NULL, + JOB_GROUP VARCHAR(200) NOT NULL, + DESCRIPTION VARCHAR(250) NULL, + NEXT_FIRE_TIME BIGINT NULL, + PREV_FIRE_TIME BIGINT NULL, + PRIORITY INTEGER NULL, + TRIGGER_STATE VARCHAR(16) NOT NULL, + TRIGGER_TYPE VARCHAR(8) NOT NULL, + START_TIME BIGINT NOT NULL, + END_TIME BIGINT NULL, + CALENDAR_NAME VARCHAR(200) NULL, + MISFIRE_INSTR SMALLINT NULL, + JOB_DATA BYTEA NULL, + PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), + FOREIGN KEY (SCHED_NAME,JOB_NAME,JOB_GROUP) + REFERENCES QRTZ_JOB_DETAILS(SCHED_NAME,JOB_NAME,JOB_GROUP) +); + +CREATE TABLE qrtz_simple_triggers + ( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + REPEAT_COUNT BIGINT NOT NULL, + REPEAT_INTERVAL BIGINT NOT NULL, + TIMES_TRIGGERED BIGINT NOT NULL, + PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), + FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) + REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) +); + +CREATE TABLE qrtz_cron_triggers + ( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + CRON_EXPRESSION VARCHAR(120) NOT NULL, + TIME_ZONE_ID VARCHAR(80), + PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), + FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) + REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) +); + +CREATE TABLE qrtz_simprop_triggers + ( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + STR_PROP_1 VARCHAR(512) NULL, + STR_PROP_2 VARCHAR(512) NULL, + STR_PROP_3 VARCHAR(512) NULL, + INT_PROP_1 INT NULL, + INT_PROP_2 INT NULL, + LONG_PROP_1 BIGINT NULL, + LONG_PROP_2 BIGINT NULL, + DEC_PROP_1 NUMERIC(13,4) NULL, + DEC_PROP_2 NUMERIC(13,4) NULL, + BOOL_PROP_1 BOOL NULL, + BOOL_PROP_2 BOOL NULL, + PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), + FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) + REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) +); + +CREATE TABLE qrtz_blob_triggers + ( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + BLOB_DATA BYTEA NULL, + PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), + FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) + REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) +); + +CREATE TABLE qrtz_calendars + ( + SCHED_NAME VARCHAR(120) NOT NULL, + CALENDAR_NAME VARCHAR(200) NOT NULL, + CALENDAR BYTEA NOT NULL, + PRIMARY KEY (SCHED_NAME,CALENDAR_NAME) +); + + +CREATE TABLE qrtz_paused_trigger_grps + ( + SCHED_NAME VARCHAR(120) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + PRIMARY KEY (SCHED_NAME,TRIGGER_GROUP) +); + +CREATE TABLE qrtz_fired_triggers + ( + SCHED_NAME VARCHAR(120) NOT NULL, + ENTRY_ID VARCHAR(95) NOT NULL, + TRIGGER_NAME VARCHAR(200) NOT NULL, + TRIGGER_GROUP VARCHAR(200) NOT NULL, + INSTANCE_NAME VARCHAR(200) NOT NULL, + FIRED_TIME BIGINT NOT NULL, + SCHED_TIME BIGINT NOT NULL, + PRIORITY INTEGER NOT NULL, + STATE VARCHAR(16) NOT NULL, + JOB_NAME VARCHAR(200) NULL, + JOB_GROUP VARCHAR(200) NULL, + IS_NONCONCURRENT BOOL NULL, + REQUESTS_RECOVERY BOOL NULL, + PRIMARY KEY (SCHED_NAME,ENTRY_ID) +); + +CREATE TABLE qrtz_scheduler_state + ( + SCHED_NAME VARCHAR(120) NOT NULL, + INSTANCE_NAME VARCHAR(200) NOT NULL, + LAST_CHECKIN_TIME BIGINT NOT NULL, + CHECKIN_INTERVAL BIGINT NOT NULL, + PRIMARY KEY (SCHED_NAME,INSTANCE_NAME) +); + +CREATE TABLE qrtz_locks + ( + SCHED_NAME VARCHAR(120) NOT NULL, + LOCK_NAME VARCHAR(40) NOT NULL, + PRIMARY KEY (SCHED_NAME,LOCK_NAME) +); + +create index idx_qrtz_j_req_recovery on qrtz_job_details(SCHED_NAME,REQUESTS_RECOVERY); +create index idx_qrtz_j_grp on qrtz_job_details(SCHED_NAME,JOB_GROUP); + +create index idx_qrtz_t_j on qrtz_triggers(SCHED_NAME,JOB_NAME,JOB_GROUP); +create index idx_qrtz_t_jg on qrtz_triggers(SCHED_NAME,JOB_GROUP); +create index idx_qrtz_t_c on qrtz_triggers(SCHED_NAME,CALENDAR_NAME); +create index idx_qrtz_t_g on qrtz_triggers(SCHED_NAME,TRIGGER_GROUP); +create index idx_qrtz_t_state on qrtz_triggers(SCHED_NAME,TRIGGER_STATE); +create index idx_qrtz_t_n_state on qrtz_triggers(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP,TRIGGER_STATE); +create index idx_qrtz_t_n_g_state on qrtz_triggers(SCHED_NAME,TRIGGER_GROUP,TRIGGER_STATE); +create index idx_qrtz_t_next_fire_time on qrtz_triggers(SCHED_NAME,NEXT_FIRE_TIME); +create index idx_qrtz_t_nft_st on qrtz_triggers(SCHED_NAME,TRIGGER_STATE,NEXT_FIRE_TIME); +create index idx_qrtz_t_nft_misfire on qrtz_triggers(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME); +create index idx_qrtz_t_nft_st_misfire on qrtz_triggers(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_STATE); +create index idx_qrtz_t_nft_st_misfire_grp on qrtz_triggers(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_GROUP,TRIGGER_STATE); + +create index idx_qrtz_ft_trig_inst_name on qrtz_fired_triggers(SCHED_NAME,INSTANCE_NAME); +create index idx_qrtz_ft_inst_job_req_rcvry on qrtz_fired_triggers(SCHED_NAME,INSTANCE_NAME,REQUESTS_RECOVERY); +create index idx_qrtz_ft_j_g on qrtz_fired_triggers(SCHED_NAME,JOB_NAME,JOB_GROUP); +create index idx_qrtz_ft_jg on qrtz_fired_triggers(SCHED_NAME,JOB_GROUP); +create index idx_qrtz_ft_t_g on qrtz_fired_triggers(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP); +create index idx_qrtz_ft_tg on qrtz_fired_triggers(SCHED_NAME,TRIGGER_GROUP); + + +commit; \ No newline at end of file diff --git a/ui/LICENSE b/ui/LICENSE new file mode 100644 index 000000000..2bf4bc28e --- /dev/null +++ b/ui/LICENSE @@ -0,0 +1,310 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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Your use of +the source code for the these subcomponents is subject to the terms and +conditions of their respective licenses. + +This project includes the software: angular + Available at: https://angular.io + Version used: 4.4.4 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + Copyright (c) 2014-2016 Google, Inc. + +This project includes the software: echarts + Available at: http://echarts.baidu.com + Version used: 3.7.0 + Used under the following license: The BSD 3-Clause (New BSD) License (http://opensource.org/licenses/BSD-3-Clause) + Copyright (c) 2013, Baidu Inc. + +This project includes the software: Font Awesome (code) + Available at: http://fontawesome.io + Inclusive of: font-awesome/{css,scss,less}/* + Version used: 4.7.0 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + Copyright (c) Dave Gandy (2016) + +This project includes the software: Font Awesome (fonts) + Available at: http://fontawesome.io + Inclusive of: font-awesome/fonts/* + Version used: 4.7.0 + Used under the following license: SIL OFL 1.1 (http://scripts.sil.org/OFL) + See details in licenses/SIL-OFL-1.1 + Copyright (c) Dave Gandy (2016) + +This project includes the software: requirejs + Available at: http://requirejs.org + Version used: 2.2.0 + Used under the following license: The BSD 3-Clause (New BSD) License (http://opensource.org/licenses/BSD-3-Clause) + Copyright (c) 2010-2015, The Dojo Foundation + +This project includes the software: jQuery JavaScript Library + Available at: http://jquery.com + Developed by: The jQuery Foundation (http://jquery.org/) + Inclusive of: jquery.js + Version used: 3.2.1 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + Copyright 2018 The jQuery Foundation + +This project includes the software: angular2-multiselect-dropdown + Available at: http://cuppalabs.github.io/components/multiselectDropdown + Version used: 1.3.4 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + Copyright (c) 2009-2017, Cuppa Labs. 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(2012) + +This project includes the software: rxjs + Available at: http://reactivex.io/rxjs + Version used: 5.4.2 + Used under the following license: Apache License, version 2.0 (http://www.apache.org/licenses/LICENSE-2.0) + Copyright (c) Twitter, Inc. (2012) + +This project includes the software: webpack + Available at: https://webpack.js.org + Version used: 3.5.4 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + +This project includes the software: css-loader + Available at: https://github.com/webpack-contrib/css-loader + Version used: 0.28.7 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + +This project includes the software: lodash + Available at: https://github.com/lodash/lodash + Version used: 4.17.4 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + +This project includes the software: mobx-angular + Available at: https://github.com/mobxjs/mobx-angular + Version used: 1.5.0 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + +This project includes the software: mobx + Available at: https://mobx.js.org/ + Version used: 3.1.11 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + +This project includes the software: style-loader + Available at: https://github.com/webpack-contrib/style-loader + Version used: 0.13.2 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + +This project includes the software: tslib + Available at: http://www.tslib.org/ + Version used: 0.13.2 + Used under the following license: Apache License, version 2.0 (http://www.apache.org/licenses/LICENSE-2.0) + Copyright (c) Twitter, Inc. (2012) \ No newline at end of file From bfc00791c9d29c9abe9d52d4440b733cc01b4511 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 28 Mar 2018 17:37:07 +0800 Subject: [PATCH 173/177] global license --- LICENSE | 356 ++++++++++-------- .../{ => src/main/resources/META-INF}/LICENSE | 0 .../{ => src/main/resources/META-INF}/LICENSE | 0 3 files changed, 205 insertions(+), 151 deletions(-) rename measure/{ => src/main/resources/META-INF}/LICENSE (100%) rename service/{ => src/main/resources/META-INF}/LICENSE (100%) diff --git a/LICENSE b/LICENSE index 88f96af12..97bb4f072 100644 --- a/LICENSE +++ b/LICENSE @@ -1,19 +1,3 @@ - -This software is distributed under the Apache License, version 2.0. See (1) below. -This software is copyright (c) The Apache Software Foundation and contributors. - -Contents: - - (1) This software license: Apache License, version 2.0 - (2) Notices for third-party software - (3) Licenses for third-party software - - ---------------------------------------------------- - -(1) This software license: Apache License, version 2.0 - - Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ @@ -189,172 +173,242 @@ Contents: incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. - --------------------------------------------------- -(2) Notices for third-party software - -The Apache Griffin project contains subcomponents in the source code +The Apache Griffin contains subcomponents in the source code release with separate copyright notices and license terms. Your use of the source code for the these subcomponents is subject to the terms and conditions of their respective licenses. +---------------------------------------------- +Public Domain +---------------------------------------------- +The following components are provided in Public Domain. See project link for details. + + (Public Domain) XZ for Java (org.tukaani:xz:1.0 - http://tukaani.org/xz/java.html) + (Public Domain) AOP alliance (aopalliance:aopalliance:1.0 - http://aopalliance.sourceforge.net) + (Public Domain) XZ for Java (org.tukaani:xz:1.0 - http://tukaani.org/xz/java.html) + +---------------------------------------------- +JSON license +---------------------------------------------- +The following components are provided under a JSON license. See project link for details. +The text of each license is also included at licenses/JSON. + + (The JSON License) JSON in Java (org.json:json:20140107 - https://github.com/douglascrockford/JSON-java) + +---------------------------------------------- +EPL license +---------------------------------------------- +The following components are provided under a EPL license. See project link for details. +The text of each license is also included at licenses/EPL. + + (Eclipse Public License - v 1.0) (GNU Lesser General Public License) Logback Classic Module (ch.qos.logback:logback-classic:1.1.9 - http://logback.qos.ch/logback-classic) + (Eclipse Public License - v 1.0) (GNU Lesser General Public License) Logback Core Module (ch.qos.logback:logback-core:1.1.9 - http://logback.qos.ch/logback-core) + (MPL 2.0 or EPL 1.0) H2 Database Engine (com.h2database:h2:1.4.193 - http://www.h2database.com) + (Eclipse Public License - v 1.0) AspectJ weaver (org.aspectj:aspectjweaver:1.8.9 - http://www.aspectj.org) + (Eclipse Distribution License (EDL), Version 1.0) (Eclipse Public License (EPL), Version 1.0) Java Persistence API, Version 2.1 (org.hibernate.javax.persistence:hibernate-jpa-2.1-api:1.0.0.Final - http://hibernate.org) + (GNU LESSER GENERAL PUBLIC LICENSE)(Eclipse Public License) c3p0:JDBC DataSources/Resource Pools (c3p0:c3p0:0.9.1.1 - http://c3p0.sourceforge.net) + +---------------------------------------------- +CDDL licenses +---------------------------------------------- +The following components are provided under a CDDL license. 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See project link for details. +The text of each license is also included at licenses/LGPL-2.0, licenses/LGPL-2.1. + + (The GNU General Public License, Version 2) MySQL Connector/J (mysql:mysql-connector-java:5.1.40 - http://dev.mysql.com/doc/connector-j/en/) + (GNU Lesser General Public License) Core Hibernate O/RM functionality (org.hibernate:hibernate-core:5.0.11.Final - http://hibernate.org) + (GNU Lesser General Public License) Hibernate JPA Support (org.hibernate:hibernate-entitymanager:5.0.11.Final - http://hibernate.org) + (GNU Lesser General Public License) Hibernate Commons Annotations (org.hibernate.common:hibernate-commons-annotations:5.0.1.Final - http://hibernate.org) -This project includes the software: angular - Available at: https://github.com/angular/angular.js/blob/v1.6.4/LICENSE - Version used: 1.6.4 - Used under the following license: The MIT License (http://opensource.org/licenses/MIT) - Copyright (c) 2010-2017 Google, Inc. http://angularjs.org -This project includes the software: angular-route - Available at: https://github.com/angular/bower-angular-route/blob/v1.6.4/LICENSE.md - Version used: 1.6.4 - Used under the following license: The MIT License (http://opensource.org/licenses/MIT) - Copyright (c) 2016 Angular - -This project includes the software: angular-smart-table - Available at: https://github.com/lorenzofox3/Smart-Table - Version used: 2.1.7 - Used under the following license: The MIT License (http://opensource.org/licenses/MIT) - Copyright (C) 2016 Laurent Renard. - -This project includes the software: angular-cookies.js - Available at: https://github.com/angular/bower-angular-cookies/blob/v1.6.4/LICENSE.md - Version used: 1.6.4 - Used under the following license: The MIT License (http://opensource.org/licenses/MIT) - Copyright (c) 2016 Angular - -This project includes the software: angular-spinner - Available at: https://github.com/urish/angular-spinner/tree/0.8.0 - Version used: 0.8.0 - Used under the following license: The MIT License (http://opensource.org/licenses/MIT) - Copyright (C) 2013, 2014, 2015, Uri Shaked uri@urish.org. - -This project includes the software: AngularJS-Toaster - Available at: https://github.com/jirikavi/AngularJS-Toaster/blob/1.2.0/LICENSE - Version used: 1.2.0 - Used under the following license: The MIT License (http://opensource.org/licenses/MIT) - Copyright (c) 2013 jirikavi +--------------------------------------------------- -This project includes the software: bootswatch - Available at: https://github.com/thomaspark/bootswatch/blob/v3.3.6/LICENSE - Version used: 3.3.6 +This project includes the software: angular + Available at: https://angular.io + Version used: 4.4.4 Used under the following license: The MIT License (http://opensource.org/licenses/MIT) - Copyright (c) 2013 Thomas Park - -This project includes the software: domReady - Available at: https://github.com/requirejs/domReady/blob/2.0.1/LICENSE - Version used: 2.0.1 - Used under the following license: The BSD 3-Clause (New BSD) License (http://opensource.org/licenses/BSD-3-Clause) - Copyright (c) 2010-2011, The Dojo Foundation + Copyright (c) 2014-2016 Google, Inc. 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This project includes the software: Font Awesome (code) - Available at: http://fontawesome.io/ + Available at: http://fontawesome.io Inclusive of: font-awesome/{css,scss,less}/* Version used: 4.7.0 Used under the following license: The MIT License (http://opensource.org/licenses/MIT) Copyright (c) Dave Gandy (2016) This project includes the software: Font Awesome (fonts) - Available at: http://fontawesome.io/ + Available at: http://fontawesome.io Inclusive of: font-awesome/fonts/* Version used: 4.7.0 Used under the following license: SIL OFL 1.1 (http://scripts.sil.org/OFL) + See details in licenses/SIL-OFL-1.1 Copyright (c) Dave Gandy (2016) This project includes the software: requirejs - Available at: https://github.com/requirejs/requirejs/blob/2.1.22/LICENSE - Version used: 2.1.22 + Available at: http://requirejs.org + Version used: 2.2.0 Used under the following license: The BSD 3-Clause (New BSD) License (http://opensource.org/licenses/BSD-3-Clause) Copyright (c) 2010-2015, The Dojo Foundation +This project includes the software: jQuery JavaScript Library + Available at: http://jquery.com + Developed by: The jQuery Foundation (http://jquery.org/) + Inclusive of: jquery.js + Version used: 3.2.1 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + Copyright 2018 The jQuery Foundation + +This project includes the software: angular2-multiselect-dropdown + Available at: http://cuppalabs.github.io/components/multiselectDropdown + Version used: 1.3.4 + Used under the following license: The MIT License (http://opensource.org/licenses/MIT) + Copyright (c) 2009-2017, Cuppa Labs. 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(2012) + +This project includes the software: rxjs + Available at: http://reactivex.io/rxjs + Version used: 5.4.2 + Used under the following license: Apache License, version 2.0 (http://www.apache.org/licenses/LICENSE-2.0) + Copyright (c) Twitter, Inc. 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(2012) --------------------------------------------------- -(3) Licenses for third-party software - -Contents: - - The BSD 2-Clause License - The BSD 3-Clause License ("New BSD") - The MIT License ("MIT") - - -The BSD 2-Clause License - - Redistribution and use in source and binary forms, with or without - modification, are permitted provided that the following conditions are met: - - 1. Redistributions of source code must retain the above copyright notice, this - list of conditions and the following disclaimer. - - 2. Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. - - THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND - ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED - WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE - DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE - FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL - DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR - SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER - CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, - OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE - OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - - -The BSD 3-Clause License ("New BSD") - - Redistribution and use in source and binary forms, with or without modification, - are permitted provided that the following conditions are met: - - 1. Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. - - 2. Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. - - 3. Neither the name of the copyright holder nor the names of its contributors - may be used to endorse or promote products derived from this software without - specific prior written permission. - - THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND - ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED - WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. - IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, - INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT - NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR - PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, - WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) - ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE - POSSIBILITY OF SUCH DAMAGE. - - -The MIT License ("MIT") - - Permission is hereby granted, free of charge, to any person obtaining a copy - of this software and associated documentation files (the "Software"), to deal - in the Software without restriction, including without limitation the rights - to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - copies of the Software, and to permit persons to whom the Software is - furnished to do so, subject to the following conditions: - - The above copyright notice and this permission notice shall be included in - all copies or substantial portions of the Software. - - THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN - THE SOFTWARE. - +All the dependent components licenses are listed in licenses/ directory. \ No newline at end of file diff --git a/measure/LICENSE b/measure/src/main/resources/META-INF/LICENSE similarity index 100% rename from measure/LICENSE rename to measure/src/main/resources/META-INF/LICENSE diff --git a/service/LICENSE b/service/src/main/resources/META-INF/LICENSE similarity index 100% rename from service/LICENSE rename to service/src/main/resources/META-INF/LICENSE From 04690378bc069171a31c171ce3042a494a134fd9 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 28 Mar 2018 18:23:00 +0800 Subject: [PATCH 174/177] license --- service/src/main/resources/init_quartz_postgres.sql | 1 + 1 file changed, 1 insertion(+) diff --git a/service/src/main/resources/init_quartz_postgres.sql b/service/src/main/resources/init_quartz_postgres.sql index 3345f361b..8fcbfd280 100644 --- a/service/src/main/resources/init_quartz_postgres.sql +++ b/service/src/main/resources/init_quartz_postgres.sql @@ -1,3 +1,4 @@ + -- Licensed to the Apache Software Foundation (ASF) under one -- or more contributor license agreements. See the NOTICE file -- distributed with this work for additional information From 215a7b691200fd35e6c616de21c086d177c1a62a Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Wed, 28 Mar 2018 18:54:26 +0800 Subject: [PATCH 175/177] init postgres --- .../main/resources/init_quartz_postgres.sql | 204 ------------------ 1 file changed, 204 deletions(-) delete mode 100644 service/src/main/resources/init_quartz_postgres.sql diff --git a/service/src/main/resources/init_quartz_postgres.sql b/service/src/main/resources/init_quartz_postgres.sql deleted file mode 100644 index 8fcbfd280..000000000 --- a/service/src/main/resources/init_quartz_postgres.sql +++ /dev/null @@ -1,204 +0,0 @@ - --- Licensed to the Apache Software Foundation (ASF) under one --- or more contributor license agreements. See the NOTICE file --- distributed with this work for additional information --- regarding copyright ownership. The ASF licenses this file --- to you under the Apache License, Version 2.0 (the --- "License"); you may not use this file except in compliance --- with the License. You may obtain a copy of the License at --- --- http://www.apache.org/licenses/LICENSE-2.0 --- --- Unless required by applicable law or agreed to in writing, --- software distributed under the License is distributed on an --- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY --- KIND, either express or implied. See the License for the --- specific language governing permissions and limitations --- under the License. - --- --- In your Quartz properties file, you'll need to set --- org.quartz.jobStore.driverDelegateClass = org.quartz.impl.jdbcjobstore.PostgreSQLDelegate - -drop table qrtz_fired_triggers; -DROP TABLE QRTZ_PAUSED_TRIGGER_GRPS; -DROP TABLE QRTZ_SCHEDULER_STATE; -DROP TABLE QRTZ_LOCKS; -drop table qrtz_simple_triggers; -drop table qrtz_cron_triggers; -drop table qrtz_simprop_triggers; -DROP TABLE QRTZ_BLOB_TRIGGERS; -drop table qrtz_triggers; -drop table qrtz_job_details; -drop table qrtz_calendars; - -CREATE TABLE qrtz_job_details - ( - SCHED_NAME VARCHAR(120) NOT NULL, - JOB_NAME VARCHAR(200) NOT NULL, - JOB_GROUP VARCHAR(200) NOT NULL, - DESCRIPTION VARCHAR(250) NULL, - JOB_CLASS_NAME VARCHAR(250) NOT NULL, - IS_DURABLE BOOL NOT NULL, - IS_NONCONCURRENT BOOL NOT NULL, - IS_UPDATE_DATA BOOL NOT NULL, - REQUESTS_RECOVERY BOOL NOT NULL, - JOB_DATA BYTEA NULL, - PRIMARY KEY (SCHED_NAME,JOB_NAME,JOB_GROUP) -); - -CREATE TABLE qrtz_triggers - ( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - JOB_NAME VARCHAR(200) NOT NULL, - JOB_GROUP VARCHAR(200) NOT NULL, - DESCRIPTION VARCHAR(250) NULL, - NEXT_FIRE_TIME BIGINT NULL, - PREV_FIRE_TIME BIGINT NULL, - PRIORITY INTEGER NULL, - TRIGGER_STATE VARCHAR(16) NOT NULL, - TRIGGER_TYPE VARCHAR(8) NOT NULL, - START_TIME BIGINT NOT NULL, - END_TIME BIGINT NULL, - CALENDAR_NAME VARCHAR(200) NULL, - MISFIRE_INSTR SMALLINT NULL, - JOB_DATA BYTEA NULL, - PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), - FOREIGN KEY (SCHED_NAME,JOB_NAME,JOB_GROUP) - REFERENCES QRTZ_JOB_DETAILS(SCHED_NAME,JOB_NAME,JOB_GROUP) -); - -CREATE TABLE qrtz_simple_triggers - ( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - REPEAT_COUNT BIGINT NOT NULL, - REPEAT_INTERVAL BIGINT NOT NULL, - TIMES_TRIGGERED BIGINT NOT NULL, - PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), - FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) - REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) -); - -CREATE TABLE qrtz_cron_triggers - ( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - CRON_EXPRESSION VARCHAR(120) NOT NULL, - TIME_ZONE_ID VARCHAR(80), - PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), - FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) - REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) -); - -CREATE TABLE qrtz_simprop_triggers - ( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - STR_PROP_1 VARCHAR(512) NULL, - STR_PROP_2 VARCHAR(512) NULL, - STR_PROP_3 VARCHAR(512) NULL, - INT_PROP_1 INT NULL, - INT_PROP_2 INT NULL, - LONG_PROP_1 BIGINT NULL, - LONG_PROP_2 BIGINT NULL, - DEC_PROP_1 NUMERIC(13,4) NULL, - DEC_PROP_2 NUMERIC(13,4) NULL, - BOOL_PROP_1 BOOL NULL, - BOOL_PROP_2 BOOL NULL, - PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), - FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) - REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) -); - -CREATE TABLE qrtz_blob_triggers - ( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - BLOB_DATA BYTEA NULL, - PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), - FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) - REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) -); - -CREATE TABLE qrtz_calendars - ( - SCHED_NAME VARCHAR(120) NOT NULL, - CALENDAR_NAME VARCHAR(200) NOT NULL, - CALENDAR BYTEA NOT NULL, - PRIMARY KEY (SCHED_NAME,CALENDAR_NAME) -); - - -CREATE TABLE qrtz_paused_trigger_grps - ( - SCHED_NAME VARCHAR(120) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - PRIMARY KEY (SCHED_NAME,TRIGGER_GROUP) -); - -CREATE TABLE qrtz_fired_triggers - ( - SCHED_NAME VARCHAR(120) NOT NULL, - ENTRY_ID VARCHAR(95) NOT NULL, - TRIGGER_NAME VARCHAR(200) NOT NULL, - TRIGGER_GROUP VARCHAR(200) NOT NULL, - INSTANCE_NAME VARCHAR(200) NOT NULL, - FIRED_TIME BIGINT NOT NULL, - SCHED_TIME BIGINT NOT NULL, - PRIORITY INTEGER NOT NULL, - STATE VARCHAR(16) NOT NULL, - JOB_NAME VARCHAR(200) NULL, - JOB_GROUP VARCHAR(200) NULL, - IS_NONCONCURRENT BOOL NULL, - REQUESTS_RECOVERY BOOL NULL, - PRIMARY KEY (SCHED_NAME,ENTRY_ID) -); - -CREATE TABLE qrtz_scheduler_state - ( - SCHED_NAME VARCHAR(120) NOT NULL, - INSTANCE_NAME VARCHAR(200) NOT NULL, - LAST_CHECKIN_TIME BIGINT NOT NULL, - CHECKIN_INTERVAL BIGINT NOT NULL, - PRIMARY KEY (SCHED_NAME,INSTANCE_NAME) -); - -CREATE TABLE qrtz_locks - ( - SCHED_NAME VARCHAR(120) NOT NULL, - LOCK_NAME VARCHAR(40) NOT NULL, - PRIMARY KEY (SCHED_NAME,LOCK_NAME) -); - -create index idx_qrtz_j_req_recovery on qrtz_job_details(SCHED_NAME,REQUESTS_RECOVERY); -create index idx_qrtz_j_grp on qrtz_job_details(SCHED_NAME,JOB_GROUP); - -create index idx_qrtz_t_j on qrtz_triggers(SCHED_NAME,JOB_NAME,JOB_GROUP); -create index idx_qrtz_t_jg on qrtz_triggers(SCHED_NAME,JOB_GROUP); -create index idx_qrtz_t_c on qrtz_triggers(SCHED_NAME,CALENDAR_NAME); -create index idx_qrtz_t_g on qrtz_triggers(SCHED_NAME,TRIGGER_GROUP); -create index idx_qrtz_t_state on qrtz_triggers(SCHED_NAME,TRIGGER_STATE); -create index idx_qrtz_t_n_state on qrtz_triggers(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP,TRIGGER_STATE); -create index idx_qrtz_t_n_g_state on qrtz_triggers(SCHED_NAME,TRIGGER_GROUP,TRIGGER_STATE); -create index idx_qrtz_t_next_fire_time on qrtz_triggers(SCHED_NAME,NEXT_FIRE_TIME); -create index idx_qrtz_t_nft_st on qrtz_triggers(SCHED_NAME,TRIGGER_STATE,NEXT_FIRE_TIME); -create index idx_qrtz_t_nft_misfire on qrtz_triggers(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME); -create index idx_qrtz_t_nft_st_misfire on qrtz_triggers(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_STATE); -create index idx_qrtz_t_nft_st_misfire_grp on qrtz_triggers(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_GROUP,TRIGGER_STATE); - -create index idx_qrtz_ft_trig_inst_name on qrtz_fired_triggers(SCHED_NAME,INSTANCE_NAME); -create index idx_qrtz_ft_inst_job_req_rcvry on qrtz_fired_triggers(SCHED_NAME,INSTANCE_NAME,REQUESTS_RECOVERY); -create index idx_qrtz_ft_j_g on qrtz_fired_triggers(SCHED_NAME,JOB_NAME,JOB_GROUP); -create index idx_qrtz_ft_jg on qrtz_fired_triggers(SCHED_NAME,JOB_GROUP); -create index idx_qrtz_ft_t_g on qrtz_fired_triggers(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP); -create index idx_qrtz_ft_tg on qrtz_fired_triggers(SCHED_NAME,TRIGGER_GROUP); - - -commit; \ No newline at end of file From e414b49ee063987e52be8b9e79d5d1124bef15d8 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 29 Mar 2018 14:20:07 +0800 Subject: [PATCH 176/177] dev env build document for new built docker --- README.md | 16 +- griffin-doc/dev/dev-env-build.md | 144 ++++++++++++++++++ .../docker/svc_msr/docker-compose-batch.yml | 1 + .../svc_msr/docker-compose-streaming.yml | 1 + 4 files changed, 159 insertions(+), 3 deletions(-) create mode 100644 griffin-doc/dev/dev-env-build.md diff --git a/README.md b/README.md index 90a747c35..5bc0e1c85 100644 --- a/README.md +++ b/README.md @@ -36,6 +36,7 @@ To run Griffin at local, you can follow instructions below. You need to install following items - jdk (1.8 or later versions). - mysql. +- Postgresql. - npm (version 6.0.0+). - [Hadoop](http://apache.claz.org/hadoop/common/hadoop-2.6.0/hadoop-2.6.0.tar.gz) (2.6.0 or later), you can get some help [here](https://hadoop.apache.org/docs/r2.7.2/hadoop-project-dist/hadoop-common/SingleCluster.html). - [Spark](http://spark.apache.org/downloads.html) (version 1.6.x, griffin does not support 2.0.x at current), if you want to install Pseudo Distributed/Single Node Cluster, you can get some help [here](http://why-not-learn-something.blogspot.com/2015/06/spark-installation-pseudo.html). @@ -69,12 +70,15 @@ You should also modify some configurations of Griffin for your environment. - service/src/main/resources/application.properties ``` - # mysql - spring.datasource.url = jdbc:mysql://:3306/quartz?autoReconnect=true&useSSL=false + # jpa + spring.datasource.url = jdbc:postgresql://:5432/quartz?autoReconnect=true&useSSL=false spring.datasource.username = spring.datasource.password = + spring.jpa.generate-ddl=true + spring.datasource.driverClassName = org.postgresql.Driver + spring.jpa.show-sql = true - # hive + # hive metastore hive.metastore.uris = thrift://:9083 hive.metastore.dbname = # default is "default" @@ -167,6 +171,12 @@ You can use UI following the steps [here](https://github.com/apache/incubator-g **Note**: The front-end UI is still under development, you can only access some basic features currently. + +### Build and Debug + +If you want to develop Griffin, please follow [this document](griffin-doc/dev/dev-env-build.md), to skip complex environment building work. + + ## Community You can contact us via email: dev@griffin.incubator.apache.org diff --git a/griffin-doc/dev/dev-env-build.md b/griffin-doc/dev/dev-env-build.md new file mode 100644 index 000000000..6d842aec4 --- /dev/null +++ b/griffin-doc/dev/dev-env-build.md @@ -0,0 +1,144 @@ + + +# Apache Griffin Develop Environment Build Guide +For Griffin developers, you need to build an entire environment for development, it wastes time. +You can directly use the Griffin docker image, to the functional test during your development. +Please follow this [griffin docker guide](../docker/griffin-docker-guide.md). + +## Preparation +Follow this [griffin docker guide](../docker/griffin-docker-guide.md#environment-preparation). + +## Start in batch mode or streaming mode +Usually, you can run the docker image in batch mode(always the first choice) or streaming mode(only if you need a streaming environment like kafka data source), choose a mode to start. +For [Batch mode](../docker/griffin-docker-guide.md#how-to-use-griffin-docker-images-in-batch-mode) and [Streaming mode](../docker/griffin-docker-guide.md#how-to-use-griffin-docker-images-in-streaming-mode), follow step 1 and 2, you can start the docker container. + +## Run or Debug at local +### For service module +If you need to develop the service module, you need to modify some configuration in the following files. +Docker host is your machine running the docker containers, which means if you install docker and run docker containers on 1.2.3.4, the is 1.2.3.4. + +In service/src/main/resources/application.properties +``` +spring.datasource.url = jdbc:postgresql://:35432/quartz?autoReconnect=true&useSSL=false + +hive.metastore.uris = thrift://:39083 + +elasticsearch.host = +elasticsearch.port = 39200 +``` + +In service/src/main/resources/sparkJob.properties +``` +livy.uri=http://:38998/batches + +spark.uri=http://:38088 +``` + +Now you can start the service module in your local IDE, by running or debugging org.apache.griffin.core.GriffinWebApplication. + +### For ui module +If you need to develop the ui module only, you need to modify some configuration. + +In ui/angular/src/app/service/service.service.ts +``` +// public BACKEND_SERVER = ""; +public BACKEND_SERVER = 'http://:38080'; +``` +After this, you can test your ui module by using remote service. + +However, in most conditions, you need to develop the ui module with some modification in service module. +Then you need to follow the steps above for service module first, and +In ui/angular/src/app/service/service.service.ts +``` +// public BACKEND_SERVER = ""; +public BACKEND_SERVER = 'http://localhost:8080'; +``` +After this, you can start service module at local, and test your ui module by using local service. + +### For measure module +If you need to develop the measure module only, you can ignore any of the service or ui module. +You can test your built measure JAR in the docker container, using the existed spark environment. + +For debug phase, you'd better install hadoop, spark, hive at local, and test your program at local for fast. + +## Deploy on docker container +First, in the incubator-griffin directory, build you packages at once. +``` +mvn clean install +``` + +### For service module and ui module +1. Login to docker container, and stop running griffin service. +``` +docker exec -it bash +cd ~/service +ps -ef | grep service.jar +kill -9 +``` +2. Service and ui module are both packaged in service/target/service-.jar, copy it into your docker container. +``` +docker cp service-.jar :/root/service/service.jar +``` +3. In docker container, start the new service. +``` +cd ~/service +nohup java -jar service.jar > service.log & +``` +Now you can follow the service log by `tail -f service.log`. + +### For measure module +1. Measure module is packaged in measure/target/measure-.jar, copy it into your docker container. +``` +docker cp measure-.jar :/root/measure/griffin-measure.jar +``` +2. Login to docker container, and overwrite griffin-measure.jar onto hdfs inside. +``` +docker exec -it bash +hadoop fs -rm /griffin/griffin-measure.jar +hadoop fs -put /root/measure/griffin-measure.jar /griffin/griffin-measure.jar +``` +Now the griffin service will submit jobs by using this new griffin-measure.jar. + +## Build new griffin docker image +For end2end test, you will need to build a new griffin docker image, for more convenient test. +1. Pull the docker build repo on your docker host. +``` +git clone https://github.com/bhlx3lyx7/griffin-docker.git +``` +2. Copy your measure and service JAR into svc_msr_new directory. +``` +cp service-.jar /griffin-docker/svc_msr_new/prep/service/service.jar +cp measure-.jar /griffin-docker/svc_msr_new/prep/measure/griffin-measure.jar +``` +3. Build your new griffin docker image. +In svc_msr_new directory. +``` +cd /griffin-docker/svc_msr_new +docker build -t [:] . +``` +4. If you are using another image name (or version), you need also modify the docker-compose file you're using. +``` +griffin: + image: [:] +``` +5. Now you can run your new griffin docker image. +``` +docker-compose -f up -d +``` \ No newline at end of file diff --git a/griffin-doc/docker/svc_msr/docker-compose-batch.yml b/griffin-doc/docker/svc_msr/docker-compose-batch.yml index 6c1cd4917..5375b5cae 100644 --- a/griffin-doc/docker/svc_msr/docker-compose-batch.yml +++ b/griffin-doc/docker/svc_msr/docker-compose-batch.yml @@ -28,6 +28,7 @@ griffin: - 32122:2122 - 38088:8088 - 33306:3306 + - 35432:5432 - 38042:8042 - 39083:9083 - 38998:8998 diff --git a/griffin-doc/docker/svc_msr/docker-compose-streaming.yml b/griffin-doc/docker/svc_msr/docker-compose-streaming.yml index 3c5280f54..bb17f70a0 100644 --- a/griffin-doc/docker/svc_msr/docker-compose-streaming.yml +++ b/griffin-doc/docker/svc_msr/docker-compose-streaming.yml @@ -32,6 +32,7 @@ griffin: - 32122:2122 - 38088:8088 - 33306:3306 + - 35432:5432 - 38042:8042 - 39083:9083 - 38998:8998 From 75bb23c89e411575b7b57ee2a4a551c1eecf38f8 Mon Sep 17 00:00:00 2001 From: Lionel Liu Date: Thu, 29 Mar 2018 16:07:24 +0800 Subject: [PATCH 177/177] add notice files --- licenses/NOTICE-Jackson | 20 ++++++++ licenses/NOTICE-Tomcat | 55 ++++++++++++++++++++++ measure/src/main/resources/META-INF/NOTICE | 10 ++++ service/src/main/resources/META-INF/NOTICE | 15 ++++++ ui/NOTICE | 5 ++ 5 files changed, 105 insertions(+) create mode 100644 licenses/NOTICE-Jackson create mode 100644 licenses/NOTICE-Tomcat create mode 100644 measure/src/main/resources/META-INF/NOTICE create mode 100644 service/src/main/resources/META-INF/NOTICE create mode 100644 ui/NOTICE diff --git a/licenses/NOTICE-Jackson b/licenses/NOTICE-Jackson new file mode 100644 index 000000000..deee84d37 --- /dev/null +++ b/licenses/NOTICE-Jackson @@ -0,0 +1,20 @@ +# Jackson JSON processor + +Jackson is a high-performance, Free/Open Source JSON processing library. +It was originally written by Tatu Saloranta (tatu.saloranta@iki.fi), and has +been in development since 2007. +It is currently developed by a community of developers, as well as supported +commercially by FasterXML.com. + +## Licensing + +Jackson core and extension components may licensed under different licenses. +To find the details that apply to this artifact see the accompanying LICENSE file. +For more information, including possible other licensing options, contact +FasterXML.com (http://fasterxml.com). + +## Credits + +A list of contributors may be found from CREDITS file, which is included +in some artifacts (usually source distributions); but is always available +from the source code management (SCM) system project uses. \ No newline at end of file diff --git a/licenses/NOTICE-Tomcat b/licenses/NOTICE-Tomcat new file mode 100644 index 000000000..2eff8d941 --- /dev/null +++ b/licenses/NOTICE-Tomcat @@ -0,0 +1,55 @@ +Apache Tomcat +Copyright 1999-2018 The Apache Software Foundation + +This product includes software developed at +The Apache Software Foundation (http://www.apache.org/). + +This software contains code derived from netty-native +developed by the Netty project +(http://netty.io, https://github.com/netty/netty-tcnative/) +and from finagle-native developed at Twitter +(https://github.com/twitter/finagle). + +The Windows Installer is built with the Nullsoft +Scriptable Install System (NSIS), which is +open source software. The original software and +related information is available at +http://nsis.sourceforge.net. + +Java compilation software for JSP pages is provided by the Eclipse +JDT Core Batch Compiler component, which is open source software. +The original software and related information is available at +http://www.eclipse.org/jdt/core/. + +For portions of the Tomcat JNI OpenSSL API and the OpenSSL JSSE integration +The org.apache.tomcat.jni and the org.apache.tomcat.net.openssl packages +are derivative work originating from the Netty project and the finagle-native +project developed at Twitter +* Copyright 2014 The Netty Project +* Copyright 2014 Twitter + +The original XML Schemas for Java EE Deployment Descriptors: + - javaee_5.xsd + - javaee_web_services_1_2.xsd + - javaee_web_services_client_1_2.xsd + - javaee_6.xsd + - javaee_web_services_1_3.xsd + - javaee_web_services_client_1_3.xsd + - jsp_2_2.xsd + - web-app_3_0.xsd + - web-common_3_0.xsd + - web-fragment_3_0.xsd + - javaee_7.xsd + - javaee_web_services_1_4.xsd + - javaee_web_services_client_1_4.xsd + - jsp_2_3.xsd + - web-app_3_1.xsd + - web-common_3_1.xsd + - web-fragment_3_1.xsd + - javaee_8.xsd + - web-app_4_0.xsd + - web-common_4_0.xsd + - web-fragment_4_0.xsd + +may be obtained from: +http://www.oracle.com/webfolder/technetwork/jsc/xml/ns/javaee/index.html \ No newline at end of file diff --git a/measure/src/main/resources/META-INF/NOTICE b/measure/src/main/resources/META-INF/NOTICE new file mode 100644 index 000000000..65a05ee9b --- /dev/null +++ b/measure/src/main/resources/META-INF/NOTICE @@ -0,0 +1,10 @@ +Apache Griffin +Copyright 2017-2018 The Apache Software Foundation + +This product includes software developed at +The Apache Software Foundation (http://www.apache.org/). + +================================================================ +Notice for Jackson + +See licenses/NOTICE-Jackson \ No newline at end of file diff --git a/service/src/main/resources/META-INF/NOTICE b/service/src/main/resources/META-INF/NOTICE new file mode 100644 index 000000000..35c1b27f6 --- /dev/null +++ b/service/src/main/resources/META-INF/NOTICE @@ -0,0 +1,15 @@ +Apache Griffin +Copyright 2017-2018 The Apache Software Foundation + +This product includes software developed at +The Apache Software Foundation (http://www.apache.org/). + +================================================================ +Notice for Jackson + +See licenses/NOTICE-Jackson + +================================================================ +Notice for Tomcat + +See licenses/NOTICE-Tomcat \ No newline at end of file diff --git a/ui/NOTICE b/ui/NOTICE new file mode 100644 index 000000000..e511be303 --- /dev/null +++ b/ui/NOTICE @@ -0,0 +1,5 @@ +Apache Griffin +Copyright 2017-2018 The Apache Software Foundation + +This product includes software developed at +The Apache Software Foundation (http://www.apache.org/). \ No newline at end of file