From 75a07360b437b5b2dbed7d4943cdc9998fc06e4e Mon Sep 17 00:00:00 2001 From: Michele Rastelli Date: Thu, 16 Dec 2021 10:51:49 +0100 Subject: [PATCH 01/10] updated test coverage settings --- arangodb-spark-commons/pom.xml | 2 +- integration-tests/pom.xml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/arangodb-spark-commons/pom.xml b/arangodb-spark-commons/pom.xml index fdd10a14..cfb02f41 100644 --- a/arangodb-spark-commons/pom.xml +++ b/arangodb-spark-commons/pom.xml @@ -39,7 +39,7 @@ report-aggregate - prepare-package + verify report-aggregate diff --git a/integration-tests/pom.xml b/integration-tests/pom.xml index b2574bcd..e6f185ab 100644 --- a/integration-tests/pom.xml +++ b/integration-tests/pom.xml @@ -41,7 +41,7 @@ report-aggregate - prepare-package + verify report-aggregate From 42fbb25b2fdee1f039314665505dae3724be8056 Mon Sep 17 00:00:00 2001 From: Michele Rastelli Date: Fri, 17 Dec 2021 23:24:08 +0100 Subject: [PATCH 02/10] imdb demo --- demo/README.md | 114 +- demo/docker/import.sh | 8 - demo/docker/import/edges.jsonl | 106615 +++++++++++++++++++++++++ demo/docker/import/nodes.jsonl | 62996 +++++++++++++++ demo/docker/import/users/users.json | 1000 - demo/docker/server.pem | 60 - demo/docker/start_spark_2.4.sh | 44 - demo/docker/start_spark_3.1.sh | 4 + demo/src/main/scala/Demo.scala | 192 +- demo/src/main/scala/Schemas.scala | 44 + demo/src/test/resources/log4j.xml | 24 + 11 files changed, 169832 insertions(+), 1269 deletions(-) delete mode 100755 demo/docker/import.sh create mode 100644 demo/docker/import/edges.jsonl create mode 100644 demo/docker/import/nodes.jsonl delete mode 100644 demo/docker/import/users/users.json delete mode 100644 demo/docker/server.pem delete mode 100755 demo/docker/start_spark_2.4.sh create mode 100644 demo/src/main/scala/Schemas.scala create mode 100644 demo/src/test/resources/log4j.xml diff --git a/demo/README.md b/demo/README.md index 1bfc4164..0dff41a7 100644 --- a/demo/README.md +++ b/demo/README.md @@ -1,92 +1,19 @@ # ArangoDB Spark Datasource Demo -Set ArangoDB Spark Datasource version environment variable: +Set environment variables: ```shell export ARANGO_SPARK_VERSION=1.0.0 ``` -Set Scala version: - -```shell -# Scala 2.11 is only supported by Spark 2.4 -export SCALA_VERSION=2.11 - -# Scala 2.12 is supported by both Spark 2.4 and 3.1 -export SCALA_VERSION=2.12 -``` - -Start ArangoDB cluster: +Start ArangoDB cluster with docker: ```shell STARTER_MODE=cluster ./docker/start_db.sh ``` -Import users sample data: - -```shell -./docker/import.sh -``` - -## Spark 2.4 - -Start Spark cluster: - -```shell -./docker/start_spark_2.4.sh -``` - -Test the Spark application in embedded mode: -```shell -mvn -Pspark-2.4 -Pscala-$SCALA_VERSION test -``` - -Package the application: -```shell -mvn -Pspark-2.4 -Pscala-$SCALA_VERSION -DskipTests=true package -``` - -Run Spark Shell: - -```shell -docker run -it --rm \ - -v $(pwd)/docker/.ivy2:/opt/bitnami/spark/.ivy2 \ - --network arangodb \ - docker.io/bitnami/spark:2.4.6 \ - ./bin/spark-shell --master spark://spark-master:7077 \ - --packages="com.arangodb:arangodb-spark-datasource-2.4_$SCALA_VERSION:$ARANGO_SPARK_VERSION" -``` - -Run sample code: - -```scala -val options = Map("user" -> "root", "password" -> "test", "endpoints" -> "172.17.0.1:8529,172.17.0.1:8539,172.17.0.1:8549") -val usersDF = spark.read.format("com.arangodb.spark").options(options + ("table" -> "users")).load() -usersDF.show() -usersDF.printSchema() -usersDF.filter(col("name.first") === "Prudence").filter(col("birthday") === "1944-06-19").show() - -// Spark SQL -usersDF.createOrReplaceTempView("users") -val californians = spark.sql("SELECT * FROM users WHERE contact.address.state = 'CA'") -californians.show() -californians.write.format("com.arangodb.spark").mode(org.apache.spark.sql.SaveMode.Overwrite).options(options + ("table" -> "californians", "confirm.truncate" -> "true")).save() -``` - -Submit demo program: - -```shell -docker run -it --rm \ - -v $(pwd):/demo \ - -v $(pwd)/docker/.ivy2:/opt/bitnami/spark/.ivy2 \ - --network arangodb \ - docker.io/bitnami/spark:2.4.6 \ - ./bin/spark-submit --master spark://spark-master:7077 \ - --packages="com.arangodb:arangodb-spark-datasource-2.4_$SCALA_VERSION:$ARANGO_SPARK_VERSION" \ - --class Demo /demo/target/demo-$ARANGO_SPARK_VERSION.jar -``` - -## Spark 3.1 +The deployed cluster will be accessible at [http://172.17.0.1:8529](http://172.17.0.1:8529) with username `root` and +password `test`. Start Spark cluster: @@ -96,39 +23,12 @@ Start Spark cluster: Test the Spark application in embedded mode: ```shell -mvn -Pspark-3.1 -Pscala-$SCALA_VERSION test +mvn -Pspark-3.1 -Pscala-2.12 test ``` Package the application: ```shell -mvn -Pspark-3.1 -Pscala-$SCALA_VERSION -DskipTests=true package -``` - -Run Spark Shell: - -```shell -docker run -it --rm \ - -v $(pwd)/docker/.ivy2:/opt/bitnami/spark/.ivy2 \ - --network arangodb \ - docker.io/bitnami/spark:3.1.2 \ - ./bin/spark-shell --master spark://spark-master:7077 \ - --packages="com.arangodb:arangodb-spark-datasource-3.1_$SCALA_VERSION:$ARANGO_SPARK_VERSION" -``` - -Run sample code: - -```scala -val options = Map("user" -> "root", "password" -> "test", "endpoints" -> "172.17.0.1:8529,172.17.0.1:8539,172.17.0.1:8549") -val usersDF = spark.read.format("com.arangodb.spark").options(options + ("table" -> "users")).load() -usersDF.show() -usersDF.printSchema() -usersDF.filter(col("name.first") === "Prudence").filter(col("birthday") === "1944-06-19").show() - -// Spark SQL -usersDF.createOrReplaceTempView("users") -val californians = spark.sql("SELECT * FROM users WHERE contact.address.state = 'CA'") -californians.show() -californians.write.format("com.arangodb.spark").mode(org.apache.spark.sql.SaveMode.Overwrite).options(options + ("table" -> "californians", "confirmTruncate" -> "true")).save() +mvn -Pspark-3.1 -Pscala-2.12 -DskipTests=true package ``` Submit demo program: @@ -140,6 +40,6 @@ docker run -it --rm \ --network arangodb \ docker.io/bitnami/spark:3.1.2 \ ./bin/spark-submit --master spark://spark-master:7077 \ - --packages="com.arangodb:arangodb-spark-datasource-3.1_$SCALA_VERSION:$ARANGO_SPARK_VERSION" \ + --packages="com.arangodb:arangodb-spark-datasource-3.1_2.12:$ARANGO_SPARK_VERSION" \ --class Demo /demo/target/demo-$ARANGO_SPARK_VERSION.jar ``` diff --git a/demo/docker/import.sh b/demo/docker/import.sh deleted file mode 100755 index 039c2313..00000000 --- a/demo/docker/import.sh +++ /dev/null @@ -1,8 +0,0 @@ -#!/bin/bash - -LOCATION=$(pwd)/$(dirname "$0") - -curl -u root:test http://172.17.0.1:8529/_api/collection -d '{"name": "users", "numberOfShards": 6}' -docker run --rm -v "$LOCATION"/import:/import arangodb \ - arangoimport --server.endpoint=http+tcp://172.17.0.1:8529 --server.password=test \ - --file "/import/users/users.json" --type json --collection "users" diff --git a/demo/docker/import/edges.jsonl b/demo/docker/import/edges.jsonl new file mode 100644 index 00000000..c828b91b --- /dev/null +++ b/demo/docker/import/edges.jsonl @@ -0,0 +1,106615 @@ +{"$label":"DIRECTED","_key":"113671","_from":"1062","_to":"66986"} +{"$label":"DIRECTED","_key":"104258","_from":"1062","_to":"61341"} +{"$label":"DIRECTED","_key":"93529","_from":"1062","_to":"55058"} +{"$label":"DIRECTED","_key":"72660","_from":"1062","_to":"43788"} +{"$label":"DIRECTED","_key":"65415","_from":"1062","_to":"40561"} +{"$label":"DIRECTED","_key":"65264","_from":"1062","_to":"40511"} +{"$label":"DIRECTED","_key":"64834","_from":"1062","_to":"40332"} +{"$label":"DIRECTED","_key":"62747","_from":"1062","_to":"39448"} +{"$label":"DIRECTED","_key":"59463","_from":"1062","_to":"37556"} +{"$label":"DIRECTED","_key":"54787","_from":"1062","_to":"35055"} +{"$label":"DIRECTED","_key":"54679","_from":"1062","_to":"35014"} +{"$label":"DIRECTED","_key":"51237","_from":"1062","_to":"33417"} +{"$label":"DIRECTED","_key":"48326","_from":"1062","_to":"31735"} +{"$label":"DIRECTED","_key":"44882","_from":"1062","_to":"29854"} +{"$label":"DIRECTED","_key":"37806","_from":"1062","_to":"25635"} +{"$label":"DIRECTED","_key":"28493","_from":"1062","_to":"20373"} +{"$label":"DIRECTED","_key":"28082","_from":"1062","_to":"20133"} +{"$label":"DIRECTED","_key":"12230","_from":"1062","_to":"9578"} +{"$label":"DIRECTED","_key":"8285","_from":"1062","_to":"6789"} +{"$label":"DIRECTED","_key":"4463","_from":"1062","_to":"3810"} +{"$label":"DIRECTED","_key":"1458","_from":"1062","_to":"1234"} +{"$label":"DIRECTED","_key":"1410","_from":"1062","_to":"1190"} +{"$label":"DIRECTED","_key":"1278","_from":"1062","_to":"1061"} +{"$label":"ACTS_IN","name":"Ben Shockley","type":"Role","_key":"113665","_from":"1062","_to":"66986"} +{"$label":"ACTS_IN","name":"Philo Beddoe","type":"Role","_key":"111406","_from":"1062","_to":"65785"} +{"$label":"ACTS_IN","name":"Lieutenant Speer","type":"Role","_key":"110643","_from":"1062","_to":"65366"} +{"$label":"ACTS_IN","name":"Philo Beddoe","type":"Role","_key":"104323","_from":"1062","_to":"61379"} +{"$label":"ACTS_IN","name":"Dave","type":"Role","_key":"104254","_from":"1062","_to":"61341"} +{"$label":"ACTS_IN","name":"Joe Kidd","type":"Role","_key":"102271","_from":"1062","_to":"60181"} +{"$label":"ACTS_IN","name":"Walt Kowalski","type":"Role","_key":"93511","_from":"1062","_to":"55058"} +{"$label":"ACTS_IN","name":"Hogan","type":"Role","_key":"72742","_from":"1062","_to":"43825"} +{"$label":"ACTS_IN","name":"The Stranger","type":"Role","_key":"72656","_from":"1062","_to":"43788"} +{"$label":"ACTS_IN","name":"Capt. Wes Block","type":"Role","_key":"71680","_from":"1062","_to":"43396"} +{"$label":"ACTS_IN","name":"Sergeant First Class Kelly","type":"Role","_key":"70899","_from":"1062","_to":"43079"} +{"$label":"ACTS_IN","name":"Lt. Morris Schaffer","type":"Role","_key":"67537","_from":"1062","_to":"41582"} +{"$label":"ACTS_IN","name":"Josey Wales","type":"Role","_key":"65410","_from":"1062","_to":"40561"} +{"$label":"ACTS_IN","name":"Frank Morris","type":"Role","_key":"65328","_from":"1062","_to":"40534"} +{"$label":"ACTS_IN","name":"Mitchell Gant","type":"Role","_key":"65260","_from":"1062","_to":"40511"} +{"$label":"ACTS_IN","name":"Insp. Harry Callahan","type":"Role","_key":"64835","_from":"1062","_to":"40334"} +{"$label":"ACTS_IN","name":"Insp. Harry Callahan","type":"Role","_key":"64830","_from":"1062","_to":"40332"} +{"$label":"ACTS_IN","name":"Insp. Harry Callahan","type":"Role","_key":"64825","_from":"1062","_to":"40329"} +{"$label":"ACTS_IN","name":"Insp. Harry Callahan","type":"Role","_key":"64820","_from":"1062","_to":"40328"} +{"$label":"ACTS_IN","name":"Steve Everett","type":"Role","_key":"62748","_from":"1062","_to":"39448"} +{"$label":"ACTS_IN","name":"Gunnery Sgt. Tom 'Gunny' Highway","type":"Role","_key":"59457","_from":"1062","_to":"37556"} +{"$label":"ACTS_IN","name":"Terry McCaleb","type":"Role","_key":"54781","_from":"1062","_to":"35055"} +{"$label":"ACTS_IN","name":"Chief Red Garnett","type":"Role","_key":"54681","_from":"1062","_to":"35014"} +{"$label":"ACTS_IN","name":"Secret Service Agent Frank Horrigan","type":"Role","_key":"53514","_from":"1062","_to":"34555"} +{"$label":"ACTS_IN","name":"Preacher","type":"Role","_key":"51238","_from":"1062","_to":"33417"} +{"$label":"ACTS_IN","name":"Thunderbold","type":"Role","_key":"49224","_from":"1062","_to":"32249"} +{"$label":"ACTS_IN","name":"Nick Pulovski","type":"Role","_key":"44875","_from":"1062","_to":"29854"} +{"$label":"ACTS_IN","name":"Frank Corvin","type":"Role","_key":"37807","_from":"1062","_to":"25635"} +{"$label":"ACTS_IN","name":"Marshall Jed Cooper","type":"Role","_key":"34864","_from":"1062","_to":"23835"} +{"$label":"ACTS_IN","name":"Insp. Harry Callahan","type":"Role","_key":"11629","_from":"1062","_to":"9132"} +{"$label":"ACTS_IN","name":"Monco","type":"Role","_key":"11184","_from":"1062","_to":"8850"} +{"$label":"ACTS_IN","name":"Robert Kincaid","type":"Role","_key":"8287","_from":"1062","_to":"6789"} +{"$label":"ACTS_IN","name":"Der Namenlose\/Blondie","type":"Role","_key":"5389","_from":"1062","_to":"4577"} +{"$label":"ACTS_IN","name":"Joe","type":"Role","_key":"4997","_from":"1062","_to":"4257"} +{"$label":"ACTS_IN","name":"Frankie Dunn","type":"Role","_key":"1460","_from":"1062","_to":"1234"} +{"$label":"ACTS_IN","name":"Luther Whitney","type":"Role","_key":"1411","_from":"1062","_to":"1190"} +{"$label":"ACTS_IN","name":"Bill Munny","type":"Role","_key":"1279","_from":"1062","_to":"1061"} +{"$label":"ACTS_IN","name":"Samson Pilot","type":"Role","_key":"431","_from":"359","_to":"345"} +{"$label":"ACTS_IN","name":"Lyle Wainfleet","type":"Role","_key":"430","_from":"358","_to":"345"} +{"$label":"ACTS_IN","name":"Dr. Max Patel","type":"Role","_key":"429","_from":"357","_to":"345"} +{"$label":"ACTS_IN","name":"Eytukan","type":"Role","_key":"428","_from":"356","_to":"345"} +{"$label":"ACTS_IN","name":"Tsu'Tey","type":"Role","_key":"427","_from":"355","_to":"345"} +{"$label":"ACTS_IN","name":"Moha","type":"Role","_key":"426","_from":"354","_to":"345"} +{"$label":"ACTS_IN","name":"Selfridge","type":"Role","_key":"425","_from":"353","_to":"345"} +{"$label":"ACTS_IN","name":"Norm Spellman","type":"Role","_key":"424","_from":"352","_to":"345"} +{"$label":"ACTS_IN","name":"Trudy Chacon","type":"Role","_key":"423","_from":"351","_to":"345"} +{"$label":"ACTS_IN","name":"Col. Quaritch","type":"Role","_key":"422","_from":"350","_to":"345"} +{"$label":"ACTS_IN","name":"Dr. Grace Augustine","type":"Role","_key":"421","_from":"349","_to":"345"} +{"$label":"ACTS_IN","name":"Neytiri","type":"Role","_key":"420","_from":"348","_to":"345"} +{"$label":"ACTS_IN","name":"Jake Sully","type":"Role","_key":"419","_from":"347","_to":"345"} +{"$label":"DIRECTED","_key":"418","_from":"346","_to":"345"} +{"$label":"DIRECTED","_key":"23298","_from":"346","_to":"16896"} +{"$label":"DIRECTED","_key":"8181","_from":"346","_to":"6737"} +{"$label":"DIRECTED","_key":"7177","_from":"346","_to":"6002"} +{"$label":"DIRECTED","_key":"3976","_from":"346","_to":"3391"} +{"$label":"DIRECTED","_key":"3133","_from":"346","_to":"2686"} +{"$label":"ACTS_IN","name":"Perseus","type":"Role","_key":"117645","_from":"347","_to":"69157"} +{"$label":"ACTS_IN","name":"Joe","type":"Role","_key":"109592","_from":"347","_to":"64732"} +{"$label":"ACTS_IN","name":"PFC Lucas","type":"Role","_key":"97531","_from":"347","_to":"57426"} +{"$label":"ACTS_IN","name":"MacBeth","type":"Role","_key":"96312","_from":"347","_to":"56600"} +{"$label":"ACTS_IN","name":"Neil","type":"Role","_key":"92083","_from":"347","_to":"54333"} +{"$label":"ACTS_IN","name":"as Cpl. B.J. 'Depot' Guidry","type":"Role","_key":"64363","_from":"347","_to":"40107"} +{"$label":"ACTS_IN","name":"Marcus Wright","type":"Role","_key":"6390","_from":"347","_to":"5406"} +{"$label":"ACTS_IN","name":"Kit","type":"Role","_key":"111206","_from":"348","_to":"65675"} +{"$label":"ACTS_IN","name":"Kat","type":"Role","_key":"111089","_from":"348","_to":"65620"} +{"$label":"ACTS_IN","name":"Rachel Buff","type":"Role","_key":"102793","_from":"348","_to":"60470"} +{"$label":"ACTS_IN","name":"Laila","type":"Role","_key":"94826","_from":"348","_to":"55842"} +{"$label":"ACTS_IN","name":"Nyota Uhura","type":"Role","_key":"94688","_from":"348","_to":"55786"} +{"$label":"ACTS_IN","name":"Theresa Jones","type":"Role","_key":"71209","_from":"348","_to":"43215"} +{"$label":"ACTS_IN","name":"Eva Rodr\u00edguez","type":"Role","_key":"64083","_from":"348","_to":"39997"} +{"$label":"ACTS_IN","name":"Maggie","type":"Role","_key":"59950","_from":"348","_to":"37851"} +{"$label":"ACTS_IN","name":"Andrea","type":"Role","_key":"57259","_from":"348","_to":"36317"} +{"$label":"ACTS_IN","name":"Torres","type":"Role","_key":"7139","_from":"348","_to":"5965"} +{"$label":"ACTS_IN","name":"Anamaria","type":"Role","_key":"904","_from":"348","_to":"722"} +{"$label":"ACTS_IN","name":"Lenny","type":"Role","_key":"111876","_from":"349","_to":"66047"} +{"$label":"ACTS_IN","name":"Julia Sandburg","type":"Role","_key":"107999","_from":"349","_to":"63792"} +{"$label":"ACTS_IN","name":"Ellen Mitchell","type":"Role","_key":"70703","_from":"349","_to":"43007"} +{"$label":"ACTS_IN","name":"Jill Bryant","type":"Role","_key":"70524","_from":"349","_to":"42927"} +{"$label":"ACTS_IN","name":"Max Conners","type":"Role","_key":"66057","_from":"349","_to":"40881"} +{"$label":"ACTS_IN","name":"voice of Ship\u00b4s Computer","type":"Role","_key":"65037","_from":"349","_to":"40412"} +{"$label":"ACTS_IN","name":"Paulina Escobar","type":"Role","_key":"63885","_from":"349","_to":"39916"} +{"$label":"ACTS_IN","name":"The Narrator","type":"Role","_key":"61658","_from":"349","_to":"38847"} +{"$label":"ACTS_IN","name":"Dian Fossey","type":"Role","_key":"61104","_from":"349","_to":"38622"} +{"$label":"ACTS_IN","name":"Babe Paley","type":"Role","_key":"55437","_from":"349","_to":"35334"} +{"$label":"ACTS_IN","name":"Lady Claudia Hoffman","type":"Role","_key":"52510","_from":"349","_to":"34149"} +{"$label":"ACTS_IN","name":"Chaffee Bicknell","type":"Role","_key":"50837","_from":"349","_to":"33179"} +{"$label":"ACTS_IN","name":"Warden Walker","type":"Role","_key":"49040","_from":"349","_to":"32134"} +{"$label":"ACTS_IN","name":"Ripley","type":"Role","_key":"48129","_from":"349","_to":"31632"} +{"$label":"ACTS_IN","name":"Ripley","type":"Role","_key":"48104","_from":"349","_to":"31620"} +{"$label":"ACTS_IN","name":"Rex Brooks","type":"Role","_key":"46818","_from":"349","_to":"30888"} +{"$label":"ACTS_IN","name":"Alice Hunt","type":"Role","_key":"45240","_from":"349","_to":"30028"} +{"$label":"ACTS_IN","name":"Janey Carver","type":"Role","_key":"40306","_from":"349","_to":"27194"} +{"$label":"ACTS_IN","name":"Frieda","type":"Role","_key":"37172","_from":"349","_to":"25176"} +{"$label":"ACTS_IN","name":"Katharine Parker","type":"Role","_key":"27616","_from":"349","_to":"19802"} +{"$label":"ACTS_IN","name":"Dana Barrett","type":"Role","_key":"24634","_from":"349","_to":"17819"} +{"$label":"ACTS_IN","name":"Helen Hudson","type":"Role","_key":"15110","_from":"349","_to":"11600"} +{"$label":"ACTS_IN","name":"Queen Isabella","type":"Role","_key":"13504","_from":"349","_to":"10513"} +{"$label":"ACTS_IN","name":"Gwen DeMarco","type":"Role","_key":"11041","_from":"349","_to":"8725"} +{"$label":"ACTS_IN","name":"Alvy's Date Outside Theatre","type":"Role","_key":"8491","_from":"349","_to":"6916"} +{"$label":"ACTS_IN","name":"Lieutenant Ellen Ripley","type":"Role","_key":"8182","_from":"349","_to":"6737"} +{"$label":"ACTS_IN","name":"Dana Barrett","type":"Role","_key":"7371","_from":"349","_to":"6141"} +{"$label":"ACTS_IN","name":"Ripley","type":"Role","_key":"4786","_from":"349","_to":"4094"} +{"$label":"ACTS_IN","name":"Stonewall Jackson","type":"Role","_key":"106888","_from":"350","_to":"63012"} +{"$label":"ACTS_IN","name":"Earl Kellogg","type":"Role","_key":"99481","_from":"350","_to":"58645"} +{"$label":"ACTS_IN","name":"Harry Black","type":"Role","_key":"91458","_from":"350","_to":"53932"} +{"$label":"ACTS_IN","name":"Harold 'Happy' Loman","type":"Role","_key":"90618","_from":"350","_to":"53515"} +{"$label":"ACTS_IN","name":"Ike Clanton","type":"Role","_key":"73060","_from":"350","_to":"43963"} +{"$label":"ACTS_IN","name":"Party Crasher","type":"Role","_key":"69528","_from":"350","_to":"42467"} +{"$label":"ACTS_IN","name":"Charles Winstead","type":"Role","_key":"69128","_from":"350","_to":"42291"} 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\u200bG\u00fcven K\u0131ra\u00e7 (d. 1960) Tiyatro ve sinema oyuncusu.<\/P>\r\n

Mimar Sinan \u00dcniversitesi Devlet Konservatuvar\u0131 Tiyatro B\u00f6l\u00fcm\u00fc mezunudur. 1960 y\u0131l\u0131nda \u0130stanbul'da d\u00fcnyaya geldi. Abhaz k\u00f6kenlidir .1986 y\u0131l\u0131ndan beri bir\u00e7ok televizyon dizisi, reklam filmi ve sinema filminde rol ald\u0131. \u0130ki y\u0131l devlet tiyatrosu sanat\u00e7\u0131s\u0131 olarak \u00e7al\u0131\u015ft\u0131ktan sonra istifa etti. Adana Devlet Tiyatrosu'nda A\u011fr\u0131 Da\u011f\u0131 Efsanesi, \u0130ki Kalas Bir Heves ve S\u0131k\u0131y\u00f6netim; G\u00fclriz Sururi Tiyatrosu'nda ise Tiyatrocu, Sokak K\u0131z\u0131 \u0130rma, Haml","version":24,"id":"5120","lastModified":"1299492484000","name":"G\u00fcven K\u0131ra\u00e7","type":"Person","_key":"4147"} +{"label":"Meltem Cumbul","profileImageUrl":"http:\/\/cf1.imgobject.com\/profiles\/fc3\/4d14ffd47b9aa1147a001fc3\/meltem-cumbul-profile.jpg","biography":"

\u200bMeltem Cumbul (d. 11 Kas\u0131m 1970, \u0130zmir), T\u00fcrk sinema ve dizi oyuncusu.<\/P>\r\n

1988 y\u0131l\u0131nda \u0130zmir T\u00fcrk Koleji'nden ,1991'de Mimar Sinan \u00dcniversitesi Devlet Konservatuar\u0131 Drama Ana Sanat Dal\u0131'ndan mezun oldu. Ard\u0131ndan Londra'daki \u015eekspir Tiyatro Kumpanyas\u0131'nda (Shakespeare Company oyuncu olarak \u00e7al\u0131\u015ft\u0131. Daha sonra televizyonda bir kariyere ad\u0131m atarak A\u015fa\u011f\u0131 Yukar\u0131 (ATV) ve Nereden ba\u015flasak? (Kanal D) programlar\u0131n\u0131n sunuculu\u011funu yapt\u0131. 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He's never met anyone... Period.","type":"Movie","_key":"43169"} +{"label":"The Medusa Touch","description":"\"I have a gift for disaster,\" says John Morlar (Ricard Burton). Morlar is cursed with a unique telekinesis power that only seems to cause disaster.","id":"11623","runtime":105,"imdbId":"tt0077921","trailer":"http:\/\/www.youtube.com\/watch?v=3172","version":93,"lastModified":"1301903313000","imageUrl":"http:\/\/cf1.imgobject.com\/posters\/0cb\/4bc93571017a3c57fe0160cb\/the-medusa-touch-mid.jpg","genre":"Drama","title":"The Medusa Touch","releaseDate":261360000000,"language":"en","type":"Movie","_key":"43170"} +{"label":"Jack Gold","version":29,"id":"70055","lastModified":"1301903110000","name":"Jack Gold","type":"Person","_key":"43171"} +{"label":"Everything You Always Wanted to Know About Sex * But Were Afraid to Ask","description":"Woody Allen's fourth film, consisting of a series of short sequences loosely inspired by Dr. David Reuben's book of the same name. 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She ends up working at a shoe store, but meets two strippers from at a nearby gentlemen's club who convince her there's fast money to be made stripping. At the Players Club, however, Diana faces danger and heartbreak.","id":"19848","runtime":104,"imdbId":"tt0119905","version":166,"lastModified":"1301905038000","imageUrl":"http:\/\/cf1.imgobject.com\/posters\/5bd\/4bc957b6017a3c57fe0275bd\/the-players-club-mid.jpg","genre":"Drama","title":"The Players Club","releaseDate":891993600000,"language":"en","tagline":"Here, we get down and dirty.","type":"Movie","_key":"71273"} +{"label":"Chrystale Wilson","version":18,"id":"144375","lastModified":"1301902988000","name":"Chrystale Wilson","type":"Person","_key":"71274"} +{"label":"Adele Givens","version":18,"id":"141603","lastModified":"1301902213000","name":"Adele Givens","type":"Person","_key":"71275"} +{"label":"Rampage: The Hillside Strangler Murders","description":"Kenneth Bianchi, one of the two serial rapists and killers who terrorized the Los Angeles area in the late 1970s, is giving police station interviews to psychiatrist Samantha Stone, who has disquieting lifestyle issues of her own. It falls to her to delve into the details of the case to determine the veracity of Bianchi's claims of multiple personality disorder, but in so doing, she is forced to relive the horrific crimes, one of which occurs at her very doorstep.","id":"19849","runtime":85,"imdbId":"tt0373900","version":103,"lastModified":"1301907269000","imageUrl":"http:\/\/cf1.imgobject.com\/posters\/5c6\/4bc957b6017a3c57fe0275c6\/rampage-the-hillside-strangler-murders-mid.jpg","genre":"Drama","title":"Rampage: The Hillside Strangler Murders","releaseDate":1136851200000,"language":"en","tagline":"Los Angeles, 1978. Sex, drugs, serial killers.","type":"Movie","_key":"71276"} +{"label":"Breast Men","description":"We follow the two Texas doctors who invented the modern breast implant and its surgical procedure. However, when success and money come their way, they split up and follow different paths. One becomes the surgeon of the everyday woman while the other's career freefalls and has to settle with strippers and actresses. The film covers their history, and their invention's, from the sixties until today","id":"19850","runtime":95,"imdbId":"tt0133643","version":84,"lastModified":"1301905749000","imageUrl":"http:\/\/cf1.imgobject.com\/posters\/5cf\/4bc957b7017a3c57fe0275cf\/breast-men-mid.jpg","genre":"Drama","title":"Breast Men","releaseDate":881971200000,"language":"en","type":"Movie","_key":"71277"} +{"label":"Grey Gardens","description":"Based on the life stories of the eccentric aunt and first cousin of Jackie Onassis raised as Park Avenue d\u00e9butantes but who withdrew from New York society, taking shelter at their Long Island summer home, \"Grey Gardens.\" As their wealth and contact with the outside world dwindled, so did their grasp on reality. 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b/demo/docker/start_spark_2.4.sh deleted file mode 100755 index 44b7d732..00000000 --- a/demo/docker/start_spark_2.4.sh +++ /dev/null @@ -1,44 +0,0 @@ -#!/bin/bash - -docker network create arangodb --subnet 172.28.0.0/16 - -docker run -d --network arangodb --ip 172.28.10.1 --name spark-master -h spark-master \ - -e SPARK_MODE=master \ - -e SPARK_RPC_AUTHENTICATION_ENABLED=no \ - -e SPARK_RPC_ENCRYPTION_ENABLED=no \ - -e SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no \ - -e SPARK_SSL_ENABLED=no \ - docker.io/bitnami/spark:2.4.6 - -docker run -d --network arangodb --ip 172.28.10.11 --name spark-worker-1 -h spark-worker-1 \ - -e SPARK_MODE=worker \ - -e SPARK_MASTER_URL=spark://spark-master:7077 \ - -e SPARK_WORKER_MEMORY=1G \ - -e SPARK_WORKER_CORES=1 \ - -e SPARK_RPC_AUTHENTICATION_ENABLED=no \ - -e SPARK_RPC_ENCRYPTION_ENABLED=no \ - -e SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no \ - -e SPARK_SSL_ENABLED=no \ - docker.io/bitnami/spark:2.4.6 - -docker run -d --network arangodb --ip 172.28.10.12 --name spark-worker-2 -h spark-worker-2 \ - -e SPARK_MODE=worker \ - -e SPARK_MASTER_URL=spark://spark-master:7077 \ - -e SPARK_WORKER_MEMORY=1G \ - -e SPARK_WORKER_CORES=1 \ - -e SPARK_RPC_AUTHENTICATION_ENABLED=no \ - -e SPARK_RPC_ENCRYPTION_ENABLED=no \ - -e SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no \ - -e SPARK_SSL_ENABLED=no \ - docker.io/bitnami/spark:2.4.6 - -docker run -d --network arangodb --ip 172.28.10.13 --name spark-worker-3 -h spark-worker-3 \ - -e SPARK_MODE=worker \ - -e SPARK_MASTER_URL=spark://spark-master:7077 \ - -e SPARK_WORKER_MEMORY=1G \ - -e SPARK_WORKER_CORES=1 \ - -e SPARK_RPC_AUTHENTICATION_ENABLED=no \ - -e SPARK_RPC_ENCRYPTION_ENABLED=no \ - -e SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no \ - -e SPARK_SSL_ENABLED=no \ - docker.io/bitnami/spark:2.4.6 diff --git a/demo/docker/start_spark_3.1.sh b/demo/docker/start_spark_3.1.sh index a43b50cf..1dee9a02 100755 --- a/demo/docker/start_spark_3.1.sh +++ b/demo/docker/start_spark_3.1.sh @@ -8,6 +8,7 @@ docker run -d --network arangodb --ip 172.28.10.1 --name spark-master -h spark-m -e SPARK_RPC_ENCRYPTION_ENABLED=no \ -e SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no \ -e SPARK_SSL_ENABLED=no \ + -v $(pwd)/docker/import:/import \ docker.io/bitnami/spark:3.1.2 docker run -d --network arangodb --ip 172.28.10.11 --name spark-worker-1 -h spark-worker-1 \ @@ -19,6 +20,7 @@ docker run -d --network arangodb --ip 172.28.10.11 --name spark-worker-1 -h spar -e SPARK_RPC_ENCRYPTION_ENABLED=no \ -e SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no \ -e SPARK_SSL_ENABLED=no \ + -v $(pwd)/docker/import:/import \ docker.io/bitnami/spark:3.1.2 docker run -d --network arangodb --ip 172.28.10.12 --name spark-worker-2 -h spark-worker-2 \ @@ -30,6 +32,7 @@ docker run -d --network arangodb --ip 172.28.10.12 --name spark-worker-2 -h spar -e SPARK_RPC_ENCRYPTION_ENABLED=no \ -e SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no \ -e SPARK_SSL_ENABLED=no \ + -v $(pwd)/docker/import:/import \ docker.io/bitnami/spark:3.1.2 docker run -d --network arangodb --ip 172.28.10.13 --name spark-worker-3 -h spark-worker-3 \ @@ -41,4 +44,5 @@ docker run -d --network arangodb --ip 172.28.10.13 --name spark-worker-3 -h spar -e SPARK_RPC_ENCRYPTION_ENABLED=no \ -e SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no \ -e SPARK_SSL_ENABLED=no \ + -v $(pwd)/docker/import:/import \ docker.io/bitnami/spark:3.1.2 diff --git a/demo/src/main/scala/Demo.scala b/demo/src/main/scala/Demo.scala index 65c5409a..af50834d 100644 --- a/demo/src/main/scala/Demo.scala +++ b/demo/src/main/scala/Demo.scala @@ -1,61 +1,153 @@ -import org.apache.spark.sql.SparkSession -import org.apache.spark.sql.functions.col -import org.apache.spark.sql.types._ +import Schemas.{actsInSchema, directedSchema, movieSchema, personSchema} +import org.apache.spark.sql.functions._ +import org.apache.spark.sql.types.{DateType, LongType, StringType, StructField, StructType, TimestampType} +import org.apache.spark.sql.{Column, DataFrame, SparkSession} object Demo { + val spark: SparkSession = SparkSession.builder + .appName("arangodb-demo") + .master("local[*, 3]") + .getOrCreate + + val password = "test" + val endpoints = "172.17.0.1:8529,172.17.0.1:8539,172.17.0.1:8549" + + val options = Map( + "password" -> password, + "endpoints" -> endpoints + ) + + val saveOptions: Map[String, String] = options ++ Map( + "table.shards" -> "9", + "confirmTruncate" -> "true", + "overwriteMode" -> "replace" + ) + def main(args: Array[String]): Unit = { - val spark = SparkSession.builder() - .appName("arangodb-demo") - .master("local[*, 3]") - .getOrCreate() - - val options = Map( - "user" -> "root", - "password" -> "test", - "endpoints" -> "172.17.0.1:8529,172.17.0.1:8539,172.17.0.1:8549" + writeDemo() + readDemo() + spark.stop + } + + def writeDemo(): Unit = { + val nodesDF = spark.read.json("docker/import/nodes.jsonl") + .withColumn("releaseDate", unixTsToSparkDate(col("releaseDate"))) + .withColumn("birthday", unixTsToSparkDate(col("birthday"))) + .withColumn("lastModified", unixTsToSparkTs(col("lastModified"))) + val edgesDF = spark.read.json("docker/import/edges.jsonl") + .withColumn("_from", concat(lit("persons/"), col("_from"))) + .withColumn("_to", concat(lit("movies/"), col("_to"))) + + saveDF( + nodesDF.where("type = 'Person'"), + tableName = "persons", + tableType = "document" ) - val schema = new StructType( - Array( - StructField("likes", ArrayType(StringType)), - StructField("birthday", DateType), - StructField("gender", StringType), - StructField("name", StructType( - Array( - StructField("first", StringType), - StructField("last", StringType) - ) - )), - StructField("contact", StructType( - Array( - StructField("address", StructType( - Array( - StructField("city", StringType), - StructField("state", StringType), - StructField("street", StringType), - StructField("zip", StringType) - ) - )) - ) - )) - ) + saveDF( + nodesDF.where("type = 'Movie'"), + tableName = "movies", + tableType = "document" ) - val usersDF = spark.read + saveDF( + df = edgesDF.where("`$label` = 'DIRECTED'"), + tableName = "directed", + tableType = "edge" + ) + + saveDF( + df = edgesDF.where("`$label` = 'ACTS_IN'"), + tableName = "actedIn", + tableType = "edge" + ) + } + + def unixTsToSparkTs(c: Column): Column = (c.cast(LongType) / 1000).cast(TimestampType) + + def unixTsToSparkDate(c: Column): Column = unixTsToSparkTs(c).cast(DateType) + + def saveDF(df: DataFrame, tableName: String, tableType: String): Unit = + df + .drop(getEmptyColNames(df): _*) + .write + .mode("overwrite") .format("com.arangodb.spark") - .options(options + ("table" -> "users")) + .options(saveOptions ++ Map( + "table" -> tableName, + "table.type" -> tableType + )) + .save() + + def getEmptyColNames(df: DataFrame): Array[String] = + df.columns.filter { colName => + df.filter(df(colName).isNotNull).count() == 0 + } + + def readDemo(): Unit = { + val moviesDF = readTable("movies", movieSchema) + val personsDF = readTable("persons", personSchema) + val actedInDF = readTable("actedIn", actsInSchema) + val directedDF = readTable("directed", directedSchema) + + // History movies or Documentaries about World War released from 2000-01-01 + moviesDF + .select("title", "releaseDate", "genre", "description") + .filter("releaseDate > '2000'") + .filter("genre IN ('History', 'Documentary')") + .filter("description LIKE '%World War%'") + .show(20, 200) + + // actors in Titanic with roles + moviesDF + .join(actedInDF, moviesDF("_id") === actedInDF("_to")) + .join(personsDF, actedInDF("_from") === personsDF("_id")) + .filter(moviesDF("_id") === "movies/6002") + .select(personsDF("name"), actedInDF("name").as("role")) + .show(100, 100) + + // actors in Titanic with roles (AQL query) + readQuery( + """WITH persons + | FOR v, e, p IN 1 INBOUND "movies/6002" actedIn + | RETURN {name: v.name, role: e.name} + |""".stripMargin, schema = StructType(Array( + StructField("name", StringType), + StructField("role", StringType) + )) + ).show(200, 100) + + // actors of movies directed by Clint Eastwood with related movie title + readQuery( + """WITH movies, persons + |FOR v, e, p IN 2 ANY "persons/1062" directed, actedIn + | FILTER IS_SAME_COLLECTION(directed, p.edges[0]) + | RETURN {name: v.name, movie: p.vertices[1].title} + |""".stripMargin, + schema = StructType(Array( + StructField("name", StringType), + StructField("movie", StringType) + )) + ).show(200, 100) + } + + def readTable(tableName: String, schema: StructType): DataFrame = { + spark.read + .format("com.arangodb.spark") + .options(options ++ Map( + "table" -> tableName, + "mode" -> "FAILFAST" // fail on bad records + )) .schema(schema) - .load() - usersDF.show() - usersDF.printSchema() - usersDF.filter(col("name.first") === "Prudence").filter(col("birthday") === "1944-06-19").show() - - // Spark SQL - usersDF.createOrReplaceTempView("users") - val californians = spark.sql("SELECT * FROM users WHERE contact.address.state = 'CA'") - californians.show() - californians.write.format("com.arangodb.spark").mode(org.apache.spark.sql.SaveMode.Overwrite).options(options + ("table" -> "californians", "confirmTruncate" -> "true")).save() - - spark.stop() + .load } + + def readQuery(query: String, schema: StructType): DataFrame = { + spark.read + .format("com.arangodb.spark") + .options(options + ("query" -> query)) + .schema(schema) + .load + } + } diff --git a/demo/src/main/scala/Schemas.scala b/demo/src/main/scala/Schemas.scala new file mode 100644 index 00000000..72e99700 --- /dev/null +++ b/demo/src/main/scala/Schemas.scala @@ -0,0 +1,44 @@ +import org.apache.spark.sql.types.{DateType, IntegerType, StringType, StructField, StructType, TimestampType} + +object Schemas { + val movieSchema: StructType = StructType(Array( + StructField("_id", StringType, nullable = false), + StructField("description", StringType), + StructField("genre", StringType), + StructField("homepage", StringType), + StructField("imageUrl", StringType), + StructField("imdbId", StringType), + StructField("language", StringType), + StructField("lastModified", TimestampType), + StructField("releaseDate", DateType), + StructField("runtime", IntegerType), + StructField("studio", StringType), + StructField("tagline", StringType), + StructField("title", StringType), + StructField("trailer", StringType) + )) + + val personSchema: StructType = StructType(Array( + StructField("_id", StringType, nullable = false), + StructField("biography", StringType), + StructField("birthday", DateType), + StructField("birthplace", StringType), + StructField("lastModified", TimestampType), + StructField("name", StringType), + StructField("profileImageUrl", StringType) + )) + + val actsInSchema: StructType = StructType(Array( + StructField("_id", StringType, nullable = false), + StructField("_from", StringType, nullable = false), + StructField("_to", StringType, nullable = false), + StructField("name", StringType) + )) + + val directedSchema: StructType = StructType(Array( + StructField("_id", StringType, nullable = false), + StructField("_from", StringType, nullable = false), + StructField("_to", StringType, nullable = false) + )) + +} diff --git a/demo/src/test/resources/log4j.xml b/demo/src/test/resources/log4j.xml new file mode 100644 index 00000000..ec4b9e15 --- /dev/null +++ b/demo/src/test/resources/log4j.xml @@ -0,0 +1,24 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<!DOCTYPE log4j:configuration SYSTEM "log4j.dtd"> +<log4j:configuration> + + <appender name="console" class="org.apache.log4j.ConsoleAppender"> + <layout class="org.apache.log4j.PatternLayout"> + <param name="ConversionPattern" value="%d{HH:mm:ss.SSS} [%thread] %-5p %c{1}:%L - %m%n"/> + </layout> + </appender> + + <logger name="org.apache.spark.sql.arangodb.datasource.reader.ArangoScanBuilder"> + <level value="INFO"/> + </logger> + +<!-- <logger name="org.apache.spark.sql.arangodb.commons.ArangoClient">--> +<!-- <level value="DEBUG"/>--> +<!-- </logger>--> + + <root> + <level value="WARN"/> + <appender-ref ref="console"/> + </root> + +</log4j:configuration> \ No newline at end of file From d7ebadd227513e30125e23c7f9849f142236000b Mon Sep 17 00:00:00 2001 From: Michele Rastelli <michele@arangodb.com> Date: Sat, 18 Dec 2021 21:42:39 +0100 Subject: [PATCH 03/10] imdb demo --- .github/workflows/test.yml | 2 - demo/src/main/scala/Demo.scala | 115 ++++++++++++++---------------- demo/src/main/scala/Schemas.scala | 4 ++ 3 files changed, 56 insertions(+), 65 deletions(-) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index e4e0ca96..958adfec 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -193,8 +193,6 @@ jobs: run: mvn -version - name: Install run: mvn -e --no-transfer-progress -Pscala-${{matrix.scala-version}} -Pspark-${{matrix.spark-version}} -Dspark.version=${{matrix.spark-full-version}} -Dgpg.skip=true install - - name: Import db data - run: ./demo/docker/import.sh - name: Deployment Test run: mvn -f ./demo/pom.xml -Pscala-${{matrix.scala-version}} -Pspark-${{matrix.spark-version}} -Dspark.version=${{matrix.spark-full-version}} test - name: Collect docker logs on failure diff --git a/demo/src/main/scala/Demo.scala b/demo/src/main/scala/Demo.scala index af50834d..e72bf7b7 100644 --- a/demo/src/main/scala/Demo.scala +++ b/demo/src/main/scala/Demo.scala @@ -1,6 +1,6 @@ -import Schemas.{actsInSchema, directedSchema, movieSchema, personSchema} +import Schemas.movieSchema import org.apache.spark.sql.functions._ -import org.apache.spark.sql.types.{DateType, LongType, StringType, StructField, StructType, TimestampType} +import org.apache.spark.sql.types._ import org.apache.spark.sql.{Column, DataFrame, SparkSession} object Demo { @@ -26,10 +26,16 @@ object Demo { def main(args: Array[String]): Unit = { writeDemo() readDemo() + readWriteDemo() spark.stop } def writeDemo(): Unit = { + println("------------------") + println("--- WRITE DEMO ---") + println("------------------") + + println("Reading JSON files...") val nodesDF = spark.read.json("docker/import/nodes.jsonl") .withColumn("releaseDate", unixTsToSparkDate(col("releaseDate"))) .withColumn("birthday", unixTsToSparkDate(col("birthday"))) @@ -38,38 +44,32 @@ object Demo { .withColumn("_from", concat(lit("persons/"), col("_from"))) .withColumn("_to", concat(lit("movies/"), col("_to"))) - saveDF( - nodesDF.where("type = 'Person'"), - tableName = "persons", - tableType = "document" - ) - - saveDF( - nodesDF.where("type = 'Movie'"), - tableName = "movies", - tableType = "document" - ) - - saveDF( - df = edgesDF.where("`$label` = 'DIRECTED'"), - tableName = "directed", - tableType = "edge" - ) - - saveDF( - df = edgesDF.where("`$label` = 'ACTS_IN'"), - tableName = "actedIn", - tableType = "edge" - ) + val personsDF = dropNullColumns(nodesDF.where("type = 'Person'")).persist() + val moviesDF = dropNullColumns(nodesDF.where("type = 'Movie'")).persist() + val directedDF = dropNullColumns(edgesDF.where("`$label` = 'DIRECTED'")).persist() + val actedInDF = dropNullColumns(edgesDF.where("`$label` = 'ACTS_IN'")).persist() + + println("Writing 'persons' collection...") + saveDF(personsDF, "persons") + + println("Writing 'movies' collection...") + saveDF(moviesDF, "movies") + + println("Writing 'directed' edge collection...") + saveDF(directedDF, "directed", "edge") + + println("Writing 'actedIn' edge collection...") + saveDF(actedInDF, "actedIn", "edge") } def unixTsToSparkTs(c: Column): Column = (c.cast(LongType) / 1000).cast(TimestampType) def unixTsToSparkDate(c: Column): Column = unixTsToSparkTs(c).cast(DateType) - def saveDF(df: DataFrame, tableName: String, tableType: String): Unit = + def dropNullColumns(df: DataFrame): DataFrame = df.drop(getEmptyColNames(df): _*) + + def saveDF(df: DataFrame, tableName: String, tableType: String = "document"): Unit = df - .drop(getEmptyColNames(df): _*) .write .mode("overwrite") .format("com.arangodb.spark") @@ -85,59 +85,36 @@ object Demo { } def readDemo(): Unit = { + println("-----------------") + println("--- READ DEMO ---") + println("-----------------") + val moviesDF = readTable("movies", movieSchema) - val personsDF = readTable("persons", personSchema) - val actedInDF = readTable("actedIn", actsInSchema) - val directedDF = readTable("directed", directedSchema) - // History movies or Documentaries about World War released from 2000-01-01 + println("Read table: history movies or documentaries about 'World War' released from 2000-01-01") moviesDF .select("title", "releaseDate", "genre", "description") - .filter("releaseDate > '2000'") - .filter("genre IN ('History', 'Documentary')") - .filter("description LIKE '%World War%'") + .filter("genre IN ('History', 'Documentary') AND description LIKE '%World War%' AND releaseDate > '2000'") .show(20, 200) - // actors in Titanic with roles - moviesDF - .join(actedInDF, moviesDF("_id") === actedInDF("_to")) - .join(personsDF, actedInDF("_from") === personsDF("_id")) - .filter(moviesDF("_id") === "movies/6002") - .select(personsDF("name"), actedInDF("name").as("role")) - .show(100, 100) - - // actors in Titanic with roles (AQL query) - readQuery( - """WITH persons - | FOR v, e, p IN 1 INBOUND "movies/6002" actedIn - | RETURN {name: v.name, role: e.name} - |""".stripMargin, schema = StructType(Array( - StructField("name", StringType), - StructField("role", StringType) - )) - ).show(200, 100) - - // actors of movies directed by Clint Eastwood with related movie title + println("Read query: actors of movies directed by Clint Eastwood with related movie title and interpreted role") readQuery( """WITH movies, persons - |FOR v, e, p IN 2 ANY "persons/1062" directed, actedIn - | FILTER IS_SAME_COLLECTION(directed, p.edges[0]) - | RETURN {name: v.name, movie: p.vertices[1].title} + |FOR v, e, p IN 2 ANY "persons/1062" OUTBOUND directed, INBOUND actedIn + | RETURN {movie: p.vertices[1].title, name: v.name, role: p.edges[1].name} |""".stripMargin, schema = StructType(Array( + StructField("movie", StringType), StructField("name", StringType), - StructField("movie", StringType) + StructField("role", StringType) )) - ).show(200, 100) + ).show(20, 200) } def readTable(tableName: String, schema: StructType): DataFrame = { spark.read .format("com.arangodb.spark") - .options(options ++ Map( - "table" -> tableName, - "mode" -> "FAILFAST" // fail on bad records - )) + .options(options + ("table" -> tableName)) .schema(schema) .load } @@ -150,4 +127,16 @@ object Demo { .load } + def readWriteDemo(): Unit = { + println("-----------------------") + println("--- READ-WRITE DEMO ---") + println("-----------------------") + + println("Reading 'movies' collection and writing 'actionMovies' collection...") + val actionMoviesDF = readTable("movies", movieSchema) + .select("_key", "title", "releaseDate", "runtime", "description") + .filter("genre = 'Action'") + saveDF(actionMoviesDF, "actionMovies") + } + } diff --git a/demo/src/main/scala/Schemas.scala b/demo/src/main/scala/Schemas.scala index 72e99700..302c20ea 100644 --- a/demo/src/main/scala/Schemas.scala +++ b/demo/src/main/scala/Schemas.scala @@ -3,6 +3,7 @@ import org.apache.spark.sql.types.{DateType, IntegerType, StringType, StructFiel object Schemas { val movieSchema: StructType = StructType(Array( StructField("_id", StringType, nullable = false), + StructField("_key", StringType, nullable = false), StructField("description", StringType), StructField("genre", StringType), StructField("homepage", StringType), @@ -20,6 +21,7 @@ object Schemas { val personSchema: StructType = StructType(Array( StructField("_id", StringType, nullable = false), + StructField("_key", StringType, nullable = false), StructField("biography", StringType), StructField("birthday", DateType), StructField("birthplace", StringType), @@ -30,6 +32,7 @@ object Schemas { val actsInSchema: StructType = StructType(Array( StructField("_id", StringType, nullable = false), + StructField("_key", StringType, nullable = false), StructField("_from", StringType, nullable = false), StructField("_to", StringType, nullable = false), StructField("name", StringType) @@ -37,6 +40,7 @@ object Schemas { val directedSchema: StructType = StructType(Array( StructField("_id", StringType, nullable = false), + StructField("_key", StringType, nullable = false), StructField("_from", StringType, nullable = false), StructField("_to", StringType, nullable = false) )) From 816346f32ec41dff1469eca404d4a3a2af9bf9e8 Mon Sep 17 00:00:00 2001 From: Michele Rastelli <michele@arangodb.com> Date: Sat, 18 Dec 2021 21:51:19 +0100 Subject: [PATCH 04/10] imdb demo --- demo/src/main/scala/Demo.scala | 126 +----------------------- demo/src/main/scala/ReadDemo.scala | 50 ++++++++++ demo/src/main/scala/ReadWriteDemo.scala | 18 ++++ demo/src/main/scala/WriteDemo.scala | 68 +++++++++++++ 4 files changed, 140 insertions(+), 122 deletions(-) create mode 100644 demo/src/main/scala/ReadDemo.scala create mode 100644 demo/src/main/scala/ReadWriteDemo.scala create mode 100644 demo/src/main/scala/WriteDemo.scala diff --git a/demo/src/main/scala/Demo.scala b/demo/src/main/scala/Demo.scala index e72bf7b7..81dc9be9 100644 --- a/demo/src/main/scala/Demo.scala +++ b/demo/src/main/scala/Demo.scala @@ -1,7 +1,4 @@ -import Schemas.movieSchema -import org.apache.spark.sql.functions._ -import org.apache.spark.sql.types._ -import org.apache.spark.sql.{Column, DataFrame, SparkSession} +import org.apache.spark.sql.SparkSession object Demo { val spark: SparkSession = SparkSession.builder @@ -17,126 +14,11 @@ object Demo { "endpoints" -> endpoints ) - val saveOptions: Map[String, String] = options ++ Map( - "table.shards" -> "9", - "confirmTruncate" -> "true", - "overwriteMode" -> "replace" - ) - def main(args: Array[String]): Unit = { - writeDemo() - readDemo() - readWriteDemo() + WriteDemo.writeDemo() + ReadDemo.readDemo() + ReadWriteDemo.readWriteDemo() spark.stop } - def writeDemo(): Unit = { - println("------------------") - println("--- WRITE DEMO ---") - println("------------------") - - println("Reading JSON files...") - val nodesDF = spark.read.json("docker/import/nodes.jsonl") - .withColumn("releaseDate", unixTsToSparkDate(col("releaseDate"))) - .withColumn("birthday", unixTsToSparkDate(col("birthday"))) - .withColumn("lastModified", unixTsToSparkTs(col("lastModified"))) - val edgesDF = spark.read.json("docker/import/edges.jsonl") - .withColumn("_from", concat(lit("persons/"), col("_from"))) - .withColumn("_to", concat(lit("movies/"), col("_to"))) - - val personsDF = dropNullColumns(nodesDF.where("type = 'Person'")).persist() - val moviesDF = dropNullColumns(nodesDF.where("type = 'Movie'")).persist() - val directedDF = dropNullColumns(edgesDF.where("`$label` = 'DIRECTED'")).persist() - val actedInDF = dropNullColumns(edgesDF.where("`$label` = 'ACTS_IN'")).persist() - - println("Writing 'persons' collection...") - saveDF(personsDF, "persons") - - println("Writing 'movies' collection...") - saveDF(moviesDF, "movies") - - println("Writing 'directed' edge collection...") - saveDF(directedDF, "directed", "edge") - - println("Writing 'actedIn' edge collection...") - saveDF(actedInDF, "actedIn", "edge") - } - - def unixTsToSparkTs(c: Column): Column = (c.cast(LongType) / 1000).cast(TimestampType) - - def unixTsToSparkDate(c: Column): Column = unixTsToSparkTs(c).cast(DateType) - - def dropNullColumns(df: DataFrame): DataFrame = df.drop(getEmptyColNames(df): _*) - - def saveDF(df: DataFrame, tableName: String, tableType: String = "document"): Unit = - df - .write - .mode("overwrite") - .format("com.arangodb.spark") - .options(saveOptions ++ Map( - "table" -> tableName, - "table.type" -> tableType - )) - .save() - - def getEmptyColNames(df: DataFrame): Array[String] = - df.columns.filter { colName => - df.filter(df(colName).isNotNull).count() == 0 - } - - def readDemo(): Unit = { - println("-----------------") - println("--- READ DEMO ---") - println("-----------------") - - val moviesDF = readTable("movies", movieSchema) - - println("Read table: history movies or documentaries about 'World War' released from 2000-01-01") - moviesDF - .select("title", "releaseDate", "genre", "description") - .filter("genre IN ('History', 'Documentary') AND description LIKE '%World War%' AND releaseDate > '2000'") - .show(20, 200) - - println("Read query: actors of movies directed by Clint Eastwood with related movie title and interpreted role") - readQuery( - """WITH movies, persons - |FOR v, e, p IN 2 ANY "persons/1062" OUTBOUND directed, INBOUND actedIn - | RETURN {movie: p.vertices[1].title, name: v.name, role: p.edges[1].name} - |""".stripMargin, - schema = StructType(Array( - StructField("movie", StringType), - StructField("name", StringType), - StructField("role", StringType) - )) - ).show(20, 200) - } - - def readTable(tableName: String, schema: StructType): DataFrame = { - spark.read - .format("com.arangodb.spark") - .options(options + ("table" -> tableName)) - .schema(schema) - .load - } - - def readQuery(query: String, schema: StructType): DataFrame = { - spark.read - .format("com.arangodb.spark") - .options(options + ("query" -> query)) - .schema(schema) - .load - } - - def readWriteDemo(): Unit = { - println("-----------------------") - println("--- READ-WRITE DEMO ---") - println("-----------------------") - - println("Reading 'movies' collection and writing 'actionMovies' collection...") - val actionMoviesDF = readTable("movies", movieSchema) - .select("_key", "title", "releaseDate", "runtime", "description") - .filter("genre = 'Action'") - saveDF(actionMoviesDF, "actionMovies") - } - } diff --git a/demo/src/main/scala/ReadDemo.scala b/demo/src/main/scala/ReadDemo.scala new file mode 100644 index 00000000..f83971ff --- /dev/null +++ b/demo/src/main/scala/ReadDemo.scala @@ -0,0 +1,50 @@ +import Schemas.movieSchema +import org.apache.spark.sql.DataFrame +import org.apache.spark.sql.types._ + +object ReadDemo { + + def readDemo(): Unit = { + println("-----------------") + println("--- READ DEMO ---") + println("-----------------") + + val moviesDF = readTable("movies", movieSchema) + + println("Read table: history movies or documentaries about 'World War' released from 2000-01-01") + moviesDF + .select("title", "releaseDate", "genre", "description") + .filter("genre IN ('History', 'Documentary') AND description LIKE '%World War%' AND releaseDate > '2000'") + .show(20, 200) + + println("Read query: actors of movies directed by Clint Eastwood with related movie title and interpreted role") + readQuery( + """WITH movies, persons + |FOR v, e, p IN 2 ANY "persons/1062" OUTBOUND directed, INBOUND actedIn + | RETURN {movie: p.vertices[1].title, name: v.name, role: p.edges[1].name} + |""".stripMargin, + schema = StructType(Array( + StructField("movie", StringType), + StructField("name", StringType), + StructField("role", StringType) + )) + ).show(20, 200) + } + + def readTable(tableName: String, schema: StructType): DataFrame = { + Demo.spark.read + .format("com.arangodb.spark") + .options(Demo.options + ("table" -> tableName)) + .schema(schema) + .load + } + + def readQuery(query: String, schema: StructType): DataFrame = { + Demo.spark.read + .format("com.arangodb.spark") + .options(Demo.options + ("query" -> query)) + .schema(schema) + .load + } + +} diff --git a/demo/src/main/scala/ReadWriteDemo.scala b/demo/src/main/scala/ReadWriteDemo.scala new file mode 100644 index 00000000..6e47cefa --- /dev/null +++ b/demo/src/main/scala/ReadWriteDemo.scala @@ -0,0 +1,18 @@ +import Schemas.movieSchema +import org.apache.spark.sql.SparkSession + +object ReadWriteDemo { + + def readWriteDemo(): Unit = { + println("-----------------------") + println("--- READ-WRITE DEMO ---") + println("-----------------------") + + println("Reading 'movies' collection and writing 'actionMovies' collection...") + val actionMoviesDF = ReadDemo.readTable("movies", movieSchema) + .select("_key", "title", "releaseDate", "runtime", "description") + .filter("genre = 'Action'") + WriteDemo.saveDF(actionMoviesDF, "actionMovies") + } + +} diff --git a/demo/src/main/scala/WriteDemo.scala b/demo/src/main/scala/WriteDemo.scala new file mode 100644 index 00000000..f328581c --- /dev/null +++ b/demo/src/main/scala/WriteDemo.scala @@ -0,0 +1,68 @@ +import org.apache.spark.sql.functions._ +import org.apache.spark.sql.types._ +import org.apache.spark.sql.{Column, DataFrame} + +object WriteDemo { + + val saveOptions: Map[String, String] = Demo.options ++ Map( + "table.shards" -> "9", + "confirmTruncate" -> "true", + "overwriteMode" -> "replace" + ) + + def writeDemo(): Unit = { + println("------------------") + println("--- WRITE DEMO ---") + println("------------------") + + println("Reading JSON files...") + val nodesDF = Demo.spark.read.json("docker/import/nodes.jsonl") + .withColumn("releaseDate", unixTsToSparkDate(col("releaseDate"))) + .withColumn("birthday", unixTsToSparkDate(col("birthday"))) + .withColumn("lastModified", unixTsToSparkTs(col("lastModified"))) + .persist() + val edgesDF = Demo.spark.read.json("docker/import/edges.jsonl") + .withColumn("_from", concat(lit("persons/"), col("_from"))) + .withColumn("_to", concat(lit("movies/"), col("_to"))) + .persist() + + val personsDF = dropNullColumns(nodesDF.where("type = 'Person'")) + val moviesDF = dropNullColumns(nodesDF.where("type = 'Movie'")) + val directedDF = dropNullColumns(edgesDF.where("`$label` = 'DIRECTED'")) + val actedInDF = dropNullColumns(edgesDF.where("`$label` = 'ACTS_IN'")) + + println("Writing 'persons' collection...") + saveDF(personsDF, "persons") + + println("Writing 'movies' collection...") + saveDF(moviesDF, "movies") + + println("Writing 'directed' edge collection...") + saveDF(directedDF, "directed", "edge") + + println("Writing 'actedIn' edge collection...") + saveDF(actedInDF, "actedIn", "edge") + } + + def unixTsToSparkTs(c: Column): Column = (c.cast(LongType) / 1000).cast(TimestampType) + + def unixTsToSparkDate(c: Column): Column = unixTsToSparkTs(c).cast(DateType) + + def dropNullColumns(df: DataFrame): DataFrame = df.drop(getEmptyColNames(df): _*) + + def saveDF(df: DataFrame, tableName: String, tableType: String = "document"): Unit = + df + .write + .mode("overwrite") + .format("com.arangodb.spark") + .options(saveOptions ++ Map( + "table" -> tableName, + "table.type" -> tableType + )) + .save() + + def getEmptyColNames(df: DataFrame): Array[String] = + df.columns.filter { colName => + df.filter(df(colName).isNotNull).count() == 0 + } +} From ddc8e5b737136581a94fb836dd3bd8cc794b8305 Mon Sep 17 00:00:00 2001 From: Michele Rastelli <michele@arangodb.com> Date: Sat, 18 Dec 2021 22:23:10 +0100 Subject: [PATCH 05/10] fixed import path --- .github/workflows/test.yml | 2 +- demo/README.md | 2 +- demo/src/main/scala/WriteDemo.scala | 6 ++++-- 3 files changed, 6 insertions(+), 4 deletions(-) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 958adfec..a03329b5 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -194,7 +194,7 @@ jobs: - name: Install run: mvn -e --no-transfer-progress -Pscala-${{matrix.scala-version}} -Pspark-${{matrix.spark-version}} -Dspark.version=${{matrix.spark-full-version}} -Dgpg.skip=true install - name: Deployment Test - run: mvn -f ./demo/pom.xml -Pscala-${{matrix.scala-version}} -Pspark-${{matrix.spark-version}} -Dspark.version=${{matrix.spark-full-version}} test + run: mvn -f ./demo/pom.xml -Pscala-${{matrix.scala-version}} -Pspark-${{matrix.spark-version}} -Dspark.version=${{matrix.spark-full-version}} -DimportPath=docker/import test - name: Collect docker logs on failure if: ${{ cancelled() || failure() }} uses: jwalton/gh-docker-logs@v1 diff --git a/demo/README.md b/demo/README.md index 0dff41a7..7993e66d 100644 --- a/demo/README.md +++ b/demo/README.md @@ -23,7 +23,7 @@ Start Spark cluster: Test the Spark application in embedded mode: ```shell -mvn -Pspark-3.1 -Pscala-2.12 test +mvn -Pspark-3.1 -Pscala-2.12 -DimportPath=docker/import test ``` Package the application: diff --git a/demo/src/main/scala/WriteDemo.scala b/demo/src/main/scala/WriteDemo.scala index f328581c..cb61a88d 100644 --- a/demo/src/main/scala/WriteDemo.scala +++ b/demo/src/main/scala/WriteDemo.scala @@ -15,13 +15,15 @@ object WriteDemo { println("--- WRITE DEMO ---") println("------------------") + val importPath = System.getProperty("importPath", "/demo/docker/import") + println("Reading JSON files...") - val nodesDF = Demo.spark.read.json("docker/import/nodes.jsonl") + val nodesDF = Demo.spark.read.json(importPath + "/nodes.jsonl") .withColumn("releaseDate", unixTsToSparkDate(col("releaseDate"))) .withColumn("birthday", unixTsToSparkDate(col("birthday"))) .withColumn("lastModified", unixTsToSparkTs(col("lastModified"))) .persist() - val edgesDF = Demo.spark.read.json("docker/import/edges.jsonl") + val edgesDF = Demo.spark.read.json(importPath + "/edges.jsonl") .withColumn("_from", concat(lit("persons/"), col("_from"))) .withColumn("_to", concat(lit("movies/"), col("_to"))) .persist() From c851ec9a51f295e6164c774a976e99c51f76ecf6 Mon Sep 17 00:00:00 2001 From: Michele Rastelli <michele@arangodb.com> Date: Mon, 20 Dec 2021 11:19:11 +0100 Subject: [PATCH 06/10] added console logs as code comments --- demo/src/main/scala/ReadDemo.scala | 16 ++++++++++++++++ demo/src/main/scala/ReadWriteDemo.scala | 14 ++++++++++++++ 2 files changed, 30 insertions(+) diff --git a/demo/src/main/scala/ReadDemo.scala b/demo/src/main/scala/ReadDemo.scala index f83971ff..bad97a5c 100644 --- a/demo/src/main/scala/ReadDemo.scala +++ b/demo/src/main/scala/ReadDemo.scala @@ -16,6 +16,22 @@ object ReadDemo { .select("title", "releaseDate", "genre", "description") .filter("genre IN ('History', 'Documentary') AND description LIKE '%World War%' AND releaseDate > '2000'") .show(20, 200) + /* + Filters and projection pushdowns are applied in this case. + + In the console an info message log like the following will be printed: + > INFO ArangoScanBuilder:57 - Filters fully applied in AQL: + > IsNotNull(description) + > IsNotNull(releaseDate) + > In(genre, [History,Documentary]) + > StringContains(description,World War) + > GreaterThan(releaseDate,2000-01-01) + + Also the generated AQL query will be printed with log level debug: + > DEBUG ArangoClient:61 - Executing AQL query: + > FOR d IN @@col FILTER `d`.`description` != null AND `d`.`releaseDate` != null AND LENGTH(["History","Documentary"][* FILTER `d`.`genre` == CURRENT]) > 0 AND CONTAINS(`d`.`description`, "World War") AND DATE_TIMESTAMP(`d`.`releaseDate`) > DATE_TIMESTAMP("2000-01-01") RETURN {`description`:`d`.`description`,`genre`:`d`.`genre`,`releaseDate`:`d`.`releaseDate`,`title`:`d`.`title`} + > with params: Map(@col -> movies) + */ println("Read query: actors of movies directed by Clint Eastwood with related movie title and interpreted role") readQuery( diff --git a/demo/src/main/scala/ReadWriteDemo.scala b/demo/src/main/scala/ReadWriteDemo.scala index 6e47cefa..101f2c4d 100644 --- a/demo/src/main/scala/ReadWriteDemo.scala +++ b/demo/src/main/scala/ReadWriteDemo.scala @@ -13,6 +13,20 @@ object ReadWriteDemo { .select("_key", "title", "releaseDate", "runtime", "description") .filter("genre = 'Action'") WriteDemo.saveDF(actionMoviesDF, "actionMovies") + /* + Filters and projection pushdowns are applied in this case. + + In the console an info message log like the following will be printed: + > INFO ArangoScanBuilder:57 - Filters fully applied in AQL: + > IsNotNull(genre) + > EqualTo(genre,Action) + + Also the generated AQL query will be printed with log level debug: + > DEBUG ArangoClient:61 - Executing AQL query: + > FOR d IN @@col FILTER `d`.`genre` != null AND `d`.`genre` == "Action" RETURN {`_key`:`d`.`_key`,`description`:`d`.`description`,`releaseDate`:`d`.`releaseDate`,`runtime`:`d`.`runtime`,`title`:`d`.`title`} + > with params: Map(@col -> movies) + */ + } } From dba7c68ee0d7a73071b27499fbcfa07b37e56675 Mon Sep 17 00:00:00 2001 From: Michele Rastelli <michele@arangodb.com> Date: Mon, 20 Dec 2021 11:43:35 +0100 Subject: [PATCH 07/10] added oasis configuration --- demo/README.md | 13 ++++++++++++- demo/src/main/scala/Demo.scala | 13 +++++++++---- demo/src/main/scala/WriteDemo.scala | 6 ++---- 3 files changed, 23 insertions(+), 9 deletions(-) diff --git a/demo/README.md b/demo/README.md index 7993e66d..14115f12 100644 --- a/demo/README.md +++ b/demo/README.md @@ -21,11 +21,22 @@ Start Spark cluster: ./docker/start_spark_3.1.sh ``` -Test the Spark application in embedded mode: +Test the Spark application in embedded mode: ```shell mvn -Pspark-3.1 -Pscala-2.12 -DimportPath=docker/import test ``` +Test the Spark application against ArangoDB Oasis deployment: +```shell +mvn -Pspark-3.1 -Pscala-2.12 \ + -DimportPath=docker/import \ + -Dpassword=<root-password> \ + -Dendpoints=<endpoint> \ + -Dssl.enabled=true \ + -Dssl.cert.value=<base64-encoded-cert> \ + test +``` + Package the application: ```shell mvn -Pspark-3.1 -Pscala-2.12 -DskipTests=true package diff --git a/demo/src/main/scala/Demo.scala b/demo/src/main/scala/Demo.scala index 81dc9be9..24078e44 100644 --- a/demo/src/main/scala/Demo.scala +++ b/demo/src/main/scala/Demo.scala @@ -1,17 +1,22 @@ import org.apache.spark.sql.SparkSession object Demo { + val importPath: String = System.getProperty("importPath", "/demo/docker/import") + val password: String = System.getProperty("password", "test") + val endpoints: String = System.getProperty("endpoints", "172.17.0.1:8529,172.17.0.1:8539,172.17.0.1:8549") + val sslEnabled: String = System.getProperty("ssl.enabled", "false") + val sslCertValue: String = System.getProperty("ssl.cert.value") + val spark: SparkSession = SparkSession.builder .appName("arangodb-demo") .master("local[*, 3]") .getOrCreate - val password = "test" - val endpoints = "172.17.0.1:8529,172.17.0.1:8539,172.17.0.1:8549" - val options = Map( "password" -> password, - "endpoints" -> endpoints + "endpoints" -> endpoints, + "ssl.enabled" -> sslEnabled, + "ssl.cert.value" -> sslCertValue ) def main(args: Array[String]): Unit = { diff --git a/demo/src/main/scala/WriteDemo.scala b/demo/src/main/scala/WriteDemo.scala index cb61a88d..362c119f 100644 --- a/demo/src/main/scala/WriteDemo.scala +++ b/demo/src/main/scala/WriteDemo.scala @@ -15,15 +15,13 @@ object WriteDemo { println("--- WRITE DEMO ---") println("------------------") - val importPath = System.getProperty("importPath", "/demo/docker/import") - println("Reading JSON files...") - val nodesDF = Demo.spark.read.json(importPath + "/nodes.jsonl") + val nodesDF = Demo.spark.read.json(Demo.importPath + "/nodes.jsonl") .withColumn("releaseDate", unixTsToSparkDate(col("releaseDate"))) .withColumn("birthday", unixTsToSparkDate(col("birthday"))) .withColumn("lastModified", unixTsToSparkTs(col("lastModified"))) .persist() - val edgesDF = Demo.spark.read.json(importPath + "/edges.jsonl") + val edgesDF = Demo.spark.read.json(Demo.importPath + "/edges.jsonl") .withColumn("_from", concat(lit("persons/"), col("_from"))) .withColumn("_to", concat(lit("movies/"), col("_to"))) .persist() From cd00403583f3fedbcfb29f71e8607488879f705e Mon Sep 17 00:00:00 2001 From: Michele Rastelli <michele@arangodb.com> Date: Mon, 20 Dec 2021 12:01:31 +0100 Subject: [PATCH 08/10] fixed Spark 2.4 compatibility --- demo/src/main/scala/Demo.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/demo/src/main/scala/Demo.scala b/demo/src/main/scala/Demo.scala index 24078e44..be74d21f 100644 --- a/demo/src/main/scala/Demo.scala +++ b/demo/src/main/scala/Demo.scala @@ -5,7 +5,7 @@ object Demo { val password: String = System.getProperty("password", "test") val endpoints: String = System.getProperty("endpoints", "172.17.0.1:8529,172.17.0.1:8539,172.17.0.1:8549") val sslEnabled: String = System.getProperty("ssl.enabled", "false") - val sslCertValue: String = System.getProperty("ssl.cert.value") + val sslCertValue: String = System.getProperty("ssl.cert.value", "") val spark: SparkSession = SparkSession.builder .appName("arangodb-demo") From c2e337afc2eb7c48239ae7d9c87e329fbf05712c Mon Sep 17 00:00:00 2001 From: Michele Rastelli <michele@arangodb.com> Date: Wed, 22 Dec 2021 08:25:17 +0100 Subject: [PATCH 09/10] demo doc: overview and requirements --- demo/README.md | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/demo/README.md b/demo/README.md index 14115f12..52486f5b 100644 --- a/demo/README.md +++ b/demo/README.md @@ -1,5 +1,25 @@ # ArangoDB Spark Datasource Demo +This demo is composed of 3 parts: + +- `WriteDemo`: reads the input json files as Spark Dataframes, applies conversions to map the data to Spark data types + and writes the records into ArangoDB collections +- `ReadDemo`: reads the ArangoDB collections created above as Spark Dataframes, specifying columns selection and records + filters predicates or custom AQL queries +- `ReadWriteDemo`: reads the ArangoDB collections created above as Spark Dataframes, applies projections and filtering, + writes to a new ArangoDB collection + + +## Requirements + +This demo requires: +- JDK 1.8 or 11 +- `maven` +- `docker` + + +## Prepare the environment + Set environment variables: ```shell @@ -21,6 +41,9 @@ Start Spark cluster: ./docker/start_spark_3.1.sh ``` + +## Run embedded + Test the Spark application in embedded mode: ```shell mvn -Pspark-3.1 -Pscala-2.12 -DimportPath=docker/import test @@ -37,6 +60,9 @@ mvn -Pspark-3.1 -Pscala-2.12 \ test ``` + +## Submit to Spark cluster + Package the application: ```shell mvn -Pspark-3.1 -Pscala-2.12 -DskipTests=true package From 96d1b7f2956ef1038655fb01f5b4317aa75ff547 Mon Sep 17 00:00:00 2001 From: Michele Rastelli <michele@arangodb.com> Date: Wed, 22 Dec 2021 09:12:59 +0100 Subject: [PATCH 10/10] used schema names in WriteDemo --- demo/src/main/scala/WriteDemo.scala | 22 ++++++++++++---------- 1 file changed, 12 insertions(+), 10 deletions(-) diff --git a/demo/src/main/scala/WriteDemo.scala b/demo/src/main/scala/WriteDemo.scala index 362c119f..93eb67a9 100644 --- a/demo/src/main/scala/WriteDemo.scala +++ b/demo/src/main/scala/WriteDemo.scala @@ -26,10 +26,18 @@ object WriteDemo { .withColumn("_to", concat(lit("movies/"), col("_to"))) .persist() - val personsDF = dropNullColumns(nodesDF.where("type = 'Person'")) - val moviesDF = dropNullColumns(nodesDF.where("type = 'Movie'")) - val directedDF = dropNullColumns(edgesDF.where("`$label` = 'DIRECTED'")) - val actedInDF = dropNullColumns(edgesDF.where("`$label` = 'ACTS_IN'")) + val personsDF = nodesDF + .select(Schemas.personSchema.fieldNames.filter(_ != "_id").map(col): _*) + .where("type = 'Person'") + val moviesDF = nodesDF + .select(Schemas.movieSchema.fieldNames.filter(_ != "_id").map(col): _*) + .where("type = 'Movie'") + val directedDF = edgesDF + .select(Schemas.directedSchema.fieldNames.filter(_ != "_id").map(col): _*) + .where("`$label` = 'DIRECTED'") + val actedInDF = edgesDF + .select(Schemas.actsInSchema.fieldNames.filter(_ != "_id").map(col): _*) + .where("`$label` = 'ACTS_IN'") println("Writing 'persons' collection...") saveDF(personsDF, "persons") @@ -48,8 +56,6 @@ object WriteDemo { def unixTsToSparkDate(c: Column): Column = unixTsToSparkTs(c).cast(DateType) - def dropNullColumns(df: DataFrame): DataFrame = df.drop(getEmptyColNames(df): _*) - def saveDF(df: DataFrame, tableName: String, tableType: String = "document"): Unit = df .write @@ -61,8 +67,4 @@ object WriteDemo { )) .save() - def getEmptyColNames(df: DataFrame): Array[String] = - df.columns.filter { colName => - df.filter(df(colName).isNotNull).count() == 0 - } }