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Since we have moved to `ConventionHelper`, it is quite easy to avoid call `javaClassToDataType` in hive simple udf. This will solve SPARK-3582. Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #2506 from adrian-wang/spark3582 and squashes the following commits: 450c28e [Daoyuan Wang] not limit argument type for hive simple udf
It returns null metadata from parquet if querying on empty parquet file while calculating splits.So added null check and returns the empty splits. Author : ravipesala ravindra.pesalahuawei.com Author: ravipesala <ravindra.pesala@huawei.com> Closes #2456 from ravipesala/SPARK-3536 and squashes the following commits: 1e81a50 [ravipesala] Fixed the issue when querying on empty parquet file.
tdas is this what you had in mind for this JIRA? I saw this one and thought it would be easy to take care of, and helpful as I use streaming from Java. I could do the same for `Time`? Happy to do so. Author: Sean Owen <sowen@cloudera.com> Closes #2403 from srowen/SPARK-2745 and squashes the following commits: 5a9e706 [Sean Owen] Change "Duration" to "Durations" to avoid changing Duration case class API bda301c [Sean Owen] Just delegate to Scala binary operator syntax to avoid scalastyle warning 7dde949 [Sean Owen] Disable scalastyle for false positives. Add Java static factory methods seconds(), minutes() to Duration. Add Java-friendly methods to Time too, and unit tests. Remove unnecessary math.floor from Time.floor() 4dee32e [Sean Owen] Add named methods to Duration in parallel to symbolic methods for Java-friendliness. Also add unit tests for Duration, in Scala and Java.
Supported modulus operation using % operator on fractional datatypes FloatType, DoubleType and DecimalType Example: SELECT 1388632775.0 % 60 from tablename LIMIT 1 Author : Venkata Ramana Gollamudi ramana.gollamudihuawei.com Author: Venkata Ramana Gollamudi <ramana.gollamudi@huawei.com> Closes #2457 from gvramana/double_modulus_support and squashes the following commits: 79172a8 [Venkata Ramana Gollamudi] Add hive cache to testcase c09bd5b [Venkata Ramana Gollamudi] Added a HiveQuerySuite testcase 193fa81 [Venkata Ramana Gollamudi] corrected testcase 3624471 [Venkata Ramana Gollamudi] modified testcase e112c09 [Venkata Ramana Gollamudi] corrected the testcase 513d0e0 [Venkata Ramana Gollamudi] modified to add modulus support to fractional types float,double,decimal 296d253 [Venkata Ramana Gollamudi] modified to add modulus support to fractional types float,double,decimal
…text is created. This will allow us to take advantage of things like the spark.defaults file. Author: Michael Armbrust <michael@databricks.com> Closes #2493 from marmbrus/copySparkConf and squashes the following commits: 0bd1377 [Michael Armbrust] Copy SQL configuration from SparkConf when a SQLContext is created.
Guava's Optional refers to some package private classes / methods, and when those are relocated the code stops working, throwing exceptions. So add the affected classes to the exception list too, and add a unit test. (Note that this unit test only really makes sense in maven, since we don't relocate in the sbt build. Also, JavaAPISuite doesn't seem to be run by "mvn test" - I had to manually add command line options to enable it.) Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #2496 from vanzin/SPARK-3647 and squashes the following commits: 84f58d7 [Marcelo Vanzin] [SPARK-3647] Add more exceptions to Guava relocation.
…ch ... ...the driver Author: Sandy Ryza <sandy@cloudera.com> Closes #2487 from sryza/sandy-spark-3612 and squashes the following commits: 2b7353d [Sandy Ryza] SPARK-3612. Executor shouldn't quit if heartbeat message fails to reach the driver
`SPARK_DRIVER_MEMORY` was only used to start the `SparkSubmit` JVM, which becomes the driver only in client mode but not cluster mode. In cluster mode, this property is simply not propagated to the worker nodes. `SPARK_EXECUTOR_MEMORY` is picked up from `SparkContext`, but in cluster mode the driver runs on one of the worker machines, where this environment variable may not be set. Author: Andrew Or <andrewor14@gmail.com> Closes #2500 from andrewor14/memory-env-vars and squashes the following commits: 6217b38 [Andrew Or] Respect SPARK_*_MEMORY for cluster mode
…er) in Spark Stages UI This is a refactored version of the original PR #1723 my mubarak Please take a look andrewor14, mubarak Author: Mubarak Seyed <mubarak.seyed@gmail.com> Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #2464 from tdas/streaming-callsite and squashes the following commits: dc54c71 [Tathagata Das] Made changes based on PR comments. 390b45d [Tathagata Das] Fixed minor bugs. 904cd92 [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into streaming-callsite 7baa427 [Tathagata Das] Refactored getCallSite and setCallSite to make it simpler. Also added unit test for DStream creation site. b9ed945 [Mubarak Seyed] Adding streaming utils c461cf4 [Mubarak Seyed] Merge remote-tracking branch 'upstream/master' ceb43da [Mubarak Seyed] Changing default regex function name 8c5d443 [Mubarak Seyed] Merge remote-tracking branch 'upstream/master' 196121b [Mubarak Seyed] Merge remote-tracking branch 'upstream/master' 491a1eb [Mubarak Seyed] Removing streaming visibility from getRDDCreationCallSite in DStream 33a7295 [Mubarak Seyed] Fixing review comments: Merging both setCallSite methods c26d933 [Mubarak Seyed] Merge remote-tracking branch 'upstream/master' f51fd9f [Mubarak Seyed] Fixing scalastyle, Regex for Utils.getCallSite, and changing method names in DStream 5051c58 [Mubarak Seyed] Getting return value of compute() into variable and call setCallSite(prevCallSite) only once. Adding return for other code paths (for None) a207eb7 [Mubarak Seyed] Fixing code review comments ccde038 [Mubarak Seyed] Removing Utils import from MappedDStream 2a09ad6 [Mubarak Seyed] Changes in Utils.scala for SPARK-1853 1d90cc3 [Mubarak Seyed] Changes for SPARK-1853 5f3105a [Mubarak Seyed] Merge remote-tracking branch 'upstream/master' 70f494f [Mubarak Seyed] Changes for SPARK-1853 1500deb [Mubarak Seyed] Changes in Spark Streaming UI 9d38d3c [Mubarak Seyed] [SPARK-1853] Show Streaming application code context (file, line number) in Spark Stages UI d466d75 [Mubarak Seyed] Changes for spark streaming UI
Sometimes Jenkins posts [spurious reports of new classes being added](#2339 (comment)). I believe this stems from diffing the patch against `master`, as opposed to against `master...`, which starts from the commit the PR was branched from. This patch fixes that behavior. Author: Nicholas Chammas <nicholas.chammas@gmail.com> Closes #2512 from nchammas/diff-only-commits-ahead and squashes the following commits: c065599 [Nicholas Chammas] comment typo fix a453c67 [Nicholas Chammas] diff from branch point
…em modules Python modules added through addPyFile should take precedence over system modules. This patch put the path for user added module in the front of sys.path (just after ''). Author: Davies Liu <davies.liu@gmail.com> Closes #2492 from davies/path and squashes the following commits: 4a2af78 [Davies Liu] fix tests f7ff4da [Davies Liu] ad license header 6b0002f [Davies Liu] add tests c16c392 [Davies Liu] put addPyFile in front of sys.path
function.func_code.co_names has all the names used in the function, including name of attributes. It will pickle some unnecessary globals if there is a global having the same name with attribute (in co_names). There is a regression introduced by #2144, revert part of changes in that PR. cc JoshRosen Author: Davies Liu <davies.liu@gmail.com> Closes #2522 from davies/globals and squashes the following commits: dfbccf5 [Davies Liu] fix bug while pickle globals of function
…issue Details can be seen in [SPARK-3615](https://issues.apache.org/jira/browse/SPARK-3615). Author: jerryshao <saisai.shao@intel.com> Closes #2483 from jerryshao/SPARK_3615 and squashes the following commits: 8555563 [jerryshao] Fix Kafka unit test hard coded Zookeeper port issue
leftOuterJoin and rightOuterJoin are already implemented. This patch adds fullOuterJoin. Author: Aaron Staple <aaron.staple@gmail.com> Closes #1395 from staple/SPARK-546 and squashes the following commits: 1f5595c [Aaron Staple] Fix python style 7ac0aa9 [Aaron Staple] [SPARK-546] Add full outer join to RDD and DStream. 3b5d137 [Aaron Staple] In JavaPairDStream, make class tag specification in rightOuterJoin consistent with other functions. 31f2956 [Aaron Staple] Fix left outer join documentation comments.
This patch adds a couple of, currently, very simple integration tests to make sure both client and cluster modes are working. The tests don't do much yet other than run a simple job, but the plan is to enhance them after we get the framework in. The cluster tests are noisy, so redirect all log output to a file like other tests do. Copying the conf around sucks but it's less work than messing with maven/sbt and having to clean up other projects. Note the test is only added for yarn-stable. The code compiles against yarn-alpha but there are two issues I ran into that I could not overcome: - an old netty dependency kept creeping into the classpath and causing akka to not work, when using sbt; the old netty was correctly suppressed under maven. - MiniYARNCluster kept failing to execute containers because it did not create the NM's local dir itself; this is apparently a known behavior, but I'm not sure how to work around it. None of those issues are present with the stable Yarn. Also, these tests are a little slow to run. Apparently Spark doesn't yet tag tests (so that these could be isolated in a "slow" batch), so this is something to keep in mind. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #2257 from vanzin/yarn-tests and squashes the following commits: 6d5b84e [Marcelo Vanzin] Fix wrong system property being set. 8b0933d [Marcelo Vanzin] Merge branch 'master' into yarn-tests 5c2b56f [Marcelo Vanzin] Use custom log4j conf for Yarn containers. ec73f17 [Marcelo Vanzin] More review feedback. 67f5b02 [Marcelo Vanzin] Review feedback. f01517c [Marcelo Vanzin] Review feedback. 68fbbbf [Marcelo Vanzin] Use older constructor available in older Hadoop releases. d07ef9a [Marcelo Vanzin] Merge branch 'master' into yarn-tests add8416 [Marcelo Vanzin] [SPARK-2778] [yarn] Add yarn integration tests.
…rectory (HT @vanzin) Whatever the reason was for having this test class in `main`, if there is one, appear to be moot. This may have been a result of earlier streaming test reorganization. This simply puts `MasterFailureTest` back under `test/`, removes some redundant copied code, and touches up a few tiny inspection warnings along the way. Author: Sean Owen <sowen@cloudera.com> Closes #2399 from srowen/SPARK-2932 and squashes the following commits: 3909411 [Sean Owen] Move MasterFailureTest to src/test, and remove redundant TestOutputStream
Author: epahomov <pahomov.egor@gmail.com> Closes #2537 from epahomov/SPARK-3690 and squashes the following commits: a0b7de4 [epahomov] [SPARK-3690] Closing shuffle writers we swallow more important exception
…hed data. Add warnings to KMeans, GeneralizedLinearAlgorithm, and computeSVD when called with input data that is not cached. KMeans is implemented iteratively, and I believe that GeneralizedLinearAlgorithm’s current optimizers are iterative and its future optimizers are also likely to be iterative. RowMatrix’s computeSVD is iterative against an RDD when run in DistARPACK mode. ALS and DecisionTree are iterative as well, but they implement RDD caching internally so do not require a warning. I added a warning to GeneralizedLinearAlgorithm rather than inside its optimizers, where the iteration actually occurs, because internally GeneralizedLinearAlgorithm maps its input data to an uncached RDD before passing it to an optimizer. (In other words, the warning would be printed for every GeneralizedLinearAlgorithm run, regardless of whether its input is cached, if the warning were in GradientDescent or other optimizer.) I assume that use of an uncached RDD by GeneralizedLinearAlgorithm is intentional, and that the mapping there (adding label, intercepts and scaling) is a lightweight operation. Arguably a user calling an optimizer such as GradientDescent will be knowledgable enough to cache their data without needing a log warning, so lack of a warning in the optimizers may be ok. Some of the documentation examples making use of these iterative algorithms did not cache their training RDDs (while others did). I updated the examples to always cache. I also fixed some (unrelated) minor errors in the documentation examples. Author: Aaron Staple <aaron.staple@gmail.com> Closes #2347 from staple/SPARK-1484 and squashes the following commits: bd49701 [Aaron Staple] Address review comments. ab2d4a4 [Aaron Staple] Disable warnings on python code path. a7a0f99 [Aaron Staple] Change code comments per review comments. 7cca1dc [Aaron Staple] Change warning message text. c77e939 [Aaron Staple] [SPARK-1484][MLLIB] Warn when running an iterative algorithm on uncached data. 3b6c511 [Aaron Staple] Minor doc example fixes.
…tion for SSH Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #2444 from sarutak/slaves-scripts-modification and squashes the following commits: eff7394 [Kousuke Saruta] Improve the description about Cluster Launch Script in docs/spark-standalone.md 7858225 [Kousuke Saruta] Modified sbin/slaves to use the environment variable "SPARK_SSH_FOREGROUND" as a flag 53d7121 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into slaves-scripts-modification e570431 [Kousuke Saruta] Added a description for SPARK_SSH_FOREGROUND variable 7120a0c [Kousuke Saruta] Added a description about default host for sbin/slaves 1bba8a9 [Kousuke Saruta] Added SPARK_SSH_FOREGROUND flag to sbin/slaves 88e2f17 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into slaves-scripts-modification 297e75d [Kousuke Saruta] Modified sbin/slaves not to export HOSTLIST
…shMap MapOutputTrackerWorker.mapStatuses is used concurrently, it should be thread-safe. This bug has already been fixed in #1328. Nevertheless, considering #1328 won't be merged soon, I send this trivial fix and hope this issue can be solved soon. Author: zsxwing <zsxwing@gmail.com> Closes #1541 from zsxwing/SPARK-2634 and squashes the following commits: d450053 [zsxwing] SPARK-2634: Change MapOutputTrackerWorker.mapStatuses to ConcurrentHashMap
…eck... ...ing for the channel size. Author: Hari Shreedharan <hshreedharan@apache.org> Closes #2531 from harishreedharan/sparksinksuite-fix and squashes the following commits: 30393c1 [Hari Shreedharan] Use more deterministic method to figure out when batches come in. 6ce9d8b [Hari Shreedharan] [SPARK-3686][STREAMING] Wait for sink to commit the channel before checking for the channel size.
This patch add profiling support for PySpark, it will show the profiling results
before the driver exits, here is one example:
```
============================================================
Profile of RDD<id=3>
============================================================
5146507 function calls (5146487 primitive calls) in 71.094 seconds
Ordered by: internal time, cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
5144576 68.331 0.000 68.331 0.000 statcounter.py:44(merge)
20 2.735 0.137 71.071 3.554 statcounter.py:33(__init__)
20 0.017 0.001 0.017 0.001 {cPickle.dumps}
1024 0.003 0.000 0.003 0.000 t.py:16(<lambda>)
20 0.001 0.000 0.001 0.000 {reduce}
21 0.001 0.000 0.001 0.000 {cPickle.loads}
20 0.001 0.000 0.001 0.000 copy_reg.py:95(_slotnames)
41 0.001 0.000 0.001 0.000 serializers.py:461(read_int)
40 0.001 0.000 0.002 0.000 serializers.py:179(_batched)
62 0.000 0.000 0.000 0.000 {method 'read' of 'file' objects}
20 0.000 0.000 71.072 3.554 rdd.py:863(<lambda>)
20 0.000 0.000 0.001 0.000 serializers.py:198(load_stream)
40/20 0.000 0.000 71.072 3.554 rdd.py:2093(pipeline_func)
41 0.000 0.000 0.002 0.000 serializers.py:130(load_stream)
40 0.000 0.000 71.072 1.777 rdd.py:304(func)
20 0.000 0.000 71.094 3.555 worker.py:82(process)
```
Also, use can show profile result manually by `sc.show_profiles()` or dump it into disk
by `sc.dump_profiles(path)`, such as
```python
>>> sc._conf.set("spark.python.profile", "true")
>>> rdd = sc.parallelize(range(100)).map(str)
>>> rdd.count()
100
>>> sc.show_profiles()
============================================================
Profile of RDD<id=1>
============================================================
284 function calls (276 primitive calls) in 0.001 seconds
Ordered by: internal time, cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
4 0.000 0.000 0.000 0.000 serializers.py:198(load_stream)
4 0.000 0.000 0.000 0.000 {reduce}
12/4 0.000 0.000 0.001 0.000 rdd.py:2092(pipeline_func)
4 0.000 0.000 0.000 0.000 {cPickle.loads}
4 0.000 0.000 0.000 0.000 {cPickle.dumps}
104 0.000 0.000 0.000 0.000 rdd.py:852(<genexpr>)
8 0.000 0.000 0.000 0.000 serializers.py:461(read_int)
12 0.000 0.000 0.000 0.000 rdd.py:303(func)
```
The profiling is disabled by default, can be enabled by "spark.python.profile=true".
Also, users can dump the results into disks automatically for future analysis, by "spark.python.profile.dump=path_to_dump"
Author: Davies Liu <davies.liu@gmail.com>
Closes #2351 from davies/profiler and squashes the following commits:
7ef2aa0 [Davies Liu] bugfix, add tests for show_profiles and dump_profiles()
2b0daf2 [Davies Liu] fix docs
7a56c24 [Davies Liu] bugfix
cba9463 [Davies Liu] move show_profiles and dump_profiles to SparkContext
fb9565b [Davies Liu] Merge branch 'master' of github.com:apache/spark into profiler
116d52a [Davies Liu] Merge branch 'master' of github.com:apache/spark into profiler
09d02c3 [Davies Liu] Merge branch 'master' into profiler
c23865c [Davies Liu] Merge branch 'master' into profiler
15d6f18 [Davies Liu] add docs for two configs
dadee1a [Davies Liu] add docs string and clear profiles after show or dump
4f8309d [Davies Liu] address comment, add tests
0a5b6eb [Davies Liu] fix Python UDF
4b20494 [Davies Liu] add profile for python
This patch removes setting of master as local in Kinesis examples so that users can set it using submit-job. Author: aniketbhatnagar <aniket.bhatnagar@gmail.com> Closes #2536 from aniketbhatnagar/Kinesis-Examples-Master-Unset and squashes the following commits: c9723ac [aniketbhatnagar] Merge remote-tracking branch 'origin/Kinesis-Examples-Master-Unset' into Kinesis-Examples-Master-Unset fec8ead [aniketbhatnagar] SPARK-3639 | Removed settings master in examples 31cdc59 [aniketbhatnagar] SPARK-3639 | Removed settings master in examples
This PR for [SPARK-3614](https://issues.apache.org/jira/browse/SPARK-3614) adds functionality for filtering out terms which do not appear in at least a minimum number of documents. This is implemented using a minimumOccurence parameter (default 0). When terms' document frequencies are less than minimumOccurence, their IDFs are set to 0, just like when the DF is 0. As a result, the TF-IDFs for the terms are found to be 0, as if the terms were not present in the documents. This PR makes the following changes: * Add a minimumOccurence parameter to the IDF and DocumentFrequencyAggregator classes. * Create a parameter-less constructor for IDF with a default minimumOccurence value of 0 to remain backwards-compatibility with the original IDF API. * Sets the IDFs to 0 for terms which DFs are less than minimumOccurence * Add tests to the Spark IDFSuite and Java JavaTfIdfSuite test suites * Updated the MLLib Feature Extraction programming guide to describe the new feature Author: RJ Nowling <rnowling@gmail.com> Closes #2494 from rnowling/spark-3614-idf-filter and squashes the following commits: 0aa3c63 [RJ Nowling] Fix identation e6523a8 [RJ Nowling] Remove unnecessary toDouble's from IDFSuite bfa82ec [RJ Nowling] Add space after if 30d20b3 [RJ Nowling] Add spaces around equals signs 9013447 [RJ Nowling] Add space before division operator 79978fc [RJ Nowling] Remove unnecessary semi-colon 40fd70c [RJ Nowling] Change minimumOccurence to minDocFreq in code and docs 47850ab [RJ Nowling] Changed minimumOccurence to Int from Long 9fb4093 [RJ Nowling] Remove unnecessary lines from IDF class docs 1fc09d8 [RJ Nowling] Add backwards-compatible constructor to DocumentFrequencyAggregator 1801fd2 [RJ Nowling] Fix style errors in IDF.scala 6897252 [RJ Nowling] Preface minimumOccurence members with val to make them final and immutable a200bab [RJ Nowling] Remove unnecessary else statement 4b974f5 [RJ Nowling] Remove accidentally-added import from testing c0cc643 [RJ Nowling] Add minimumOccurence filtering to IDF
See description in [JIRA](https://issues.apache.org/jira/browse/SPARK-3476). Author: Andrew Or <andrewor14@gmail.com> Closes #2528 from andrewor14/yarn-memory-checks and squashes the following commits: c5400cd [Andrew Or] Simplify checks e30ffac [Andrew Or] Remove outdated memory checks
User may be confused for the HQL logging & configurations, we'd better provide a default templates. Both files are copied from Hive. Author: Cheng Hao <hao.cheng@intel.com> Closes #2263 from chenghao-intel/hive_template and squashes the following commits: 53bffa9 [Cheng Hao] Remove the hive-log4j.properties initialization
…lication HT to Diana, just proposing an implementation of her suggestion, which I rather agreed with. Is there a second/third for the motion? Refer to "self-contained" rather than "standalone" apps to avoid confusion with standalone deployment mode. And fix placement of reference to this in MLlib docs. Author: Sean Owen <sowen@cloudera.com> Closes #2787 from srowen/SPARK-1307 and squashes the following commits: b5b82e2 [Sean Owen] Refer to "self-contained" rather than "standalone" apps to avoid confusion with standalone deployment mode. And fix placement of reference to this in MLlib docs.
…config file This is another implementation about #1256 cc andrewor14 vanzin Author: GuoQiang Li <witgo@qq.com> Closes #2379 from witgo/SPARK-2098-new and squashes the following commits: 4ef1cbd [GuoQiang Li] review commit 49ef70e [GuoQiang Li] Refactor getDefaultPropertiesFile c45d20c [GuoQiang Li] All Spark processes should support spark-defaults.conf, config file
… in cluster mode Customized pickler should be registered before unpickling, but in executor, there is no way to register the picklers before run the tasks. So, we need to register the picklers in the tasks itself, duplicate the javaToPython() and pythonToJava() in MLlib, call SerDe.initialize() before pickling or unpickling. Author: Davies Liu <davies.liu@gmail.com> Closes #2830 from davies/fix_pickle and squashes the following commits: 0c85fb9 [Davies Liu] revert the privacy change 6b94e15 [Davies Liu] use JavaConverters instead of JavaConversions 0f02050 [Davies Liu] hotfix: Customized pickler does not work in cluster
The removed `Future` was used to end the test case as soon as the Spark SQL CLI process exits. When the process exits prematurely, this mechanism prevents the test case to wait until timeout. But it also creates a race condition: when `foundAllExpectedAnswers.tryFailure` is called, there are chances that the last expected output line of the CLI process hasn't been caught by the main logics of the test code, thus fails the test case. Removing this `Future` doesn't affect correctness. Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #2823 from liancheng/clean-clisuite and squashes the following commits: 489a97c [Cheng Lian] Fixes the race condition that may cause test failure
This is a small number of clean-up changes on top of #2782. Closes #2782. Author: Prashant Sharma <prashant.s@imaginea.com> Author: Patrick Wendell <pwendell@gmail.com> Closes #2803 from pwendell/pr-2782 and squashes the following commits: 56d5b7a [Patrick Wendell] Minor clean-up 44089ec [Patrick Wendell] Clean-up the TaskContext API. ed551ce [Prashant Sharma] Fixed a typo df261d0 [Prashant Sharma] Josh's suggestion facf3b1 [Prashant Sharma] Fixed the mima issue. 7ecc2fe [Prashant Sharma] CR, Moved implementations to TaskContextImpl bbd9e05 [Prashant Sharma] adding missed out files to git. ef633f5 [Prashant Sharma] SPARK-3874, Provide stable TaskContext API
Something about the 2.3.4 upgrade seems to have made the issue manifest where all the services disconnect from each other after exactly 1000 seconds (which is the heartbeat interval). [This post](https://groups.google.com/forum/#!topic/akka-user/X3xzpTCbEFs) suggests that heartbeat pause should be greater than heartbeat interval, and increasing the pause from 600s to 6000s seems to have rectified the issue. My current cluster has now exceeded 1400s of uptime without failure! I do not know why this fixed it, because the threshold we have set for the failure detector is the exponent of a timeout, and 300 is extremely large. Perhaps the default failure detector changed in 2.3.4 and now ignores threshold. Author: Aaron Davidson <aaron@databricks.com> Closes #2784 from aarondav/fix-timeout and squashes the following commits: bd1151a [Aaron Davidson] Increase pause, don't decrease interval 9cb0372 [Aaron Davidson] [SPARK-3923] Decrease Akka heartbeat interval below heartbeat pause
…eBlockInfo In BlockManagermasterActor, _remainingMem would increase memSize for twice when updateBlockInfo if new storageLevel is invalid and old storageLevel is "useMemory". Also, _remainingMem should increase with original memory size instead of new memSize. Author: Zhang, Liye <liye.zhang@intel.com> Closes #2792 from liyezhang556520/spark-3941-remainMem and squashes the following commits: 3d487cc [Zhang, Liye] make the code concise 0380a32 [Zhang, Liye] [SPARK-3941][CORE] _remainingmem should not increase twice when updateBlockInfo
Introduced in pwendell@f7e79bc, I'm not sure why we need two spark.executor.memory here. Author: WangTaoTheTonic <barneystinson@aliyun.com> Author: WangTao <barneystinson@aliyun.com> Closes #2745 from WangTaoTheTonic/redundantconfig and squashes the following commits: e7564dc [WangTao] too long line fdbdb1f [WangTaoTheTonic] trivial workaround d06b6e5 [WangTaoTheTonic] remove redundant spark.executor.memory in doc
Sorry. I found that I forgot to add `afterExecute` for `handleConnectExecutor` in #2593. Author: zsxwing <zsxwing@gmail.com> Closes #2794 from zsxwing/SPARK-3741 and squashes the following commits: a0bc4dd [zsxwing] Add afterExecute for handleConnectExecutor
…ion sometimes JobProgressPage could not show Fair Scheduler Pools section sometimes. SparkContext starts webui and then postEnvironmentUpdate. Sometimes JobProgressPage is accessed between webui starting and postEnvironmentUpdate, then the lazy val isFairScheduler will be false. The Fair Scheduler Pools section will not display any more. Author: yantangzhai <tyz0303@163.com> Author: YanTangZhai <hakeemzhai@tencent.com> Closes #1966 from YanTangZhai/SPARK-3067 and squashes the following commits: d4323f8 [yantangzhai] update [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes 8a00106 [YanTangZhai] Merge pull request #6 from apache/master b6391cc [yantangzhai] revert [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes d2226cd [yantangzhai] [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes cbcba66 [YanTangZhai] Merge pull request #3 from apache/master aac7f7b [yantangzhai] [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes cdef539 [YanTangZhai] Merge pull request #1 from apache/master
Its hard to debug which broadcast variables refer to what in a big codebase. Printing call site information helps in debugging. Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu> Closes #2829 from shivaram/spark-broadcast-print and squashes the following commits: cd6dbdf [Shivaram Venkataraman] Print call site information for broadcasts
There is a unused variable(count) in saveAsHadoopDataset in PairRDDFunctions.scala. The initial idea of this variable seems to count the number of records, so I am adding a log statement to log the number of records that has been written to the writer. Author: likun <jacky.likun@huawei.com> Author: jackylk <jacky.likun@huawei.com> Closes #2791 from jackylk/SPARK-3935 and squashes the following commits: a874047 [jackylk] removing the unused variable in PairRddFunctions.scala 3bf43c7 [likun] log the number of records has been written
This avoids issues when HDFS is configured in a way that would not allow the hardcoded default replication of "3". Note: getDefaultReplication(Path) was added in 0.23.3, and the oldest one available on Maven Central is 0.23.7, so I chose to not add code to access that method via reflection. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #2831 from vanzin/SPARK-3979 and squashes the following commits: b0e3a97 [Marcelo Vanzin] [SPARK-3979] [yarn] Use fs's default replication.
… transformations In the current implementation it was possible for the reference to change after analysis. Author: Michael Armbrust <michael@databricks.com> Closes #2717 from marmbrus/pythonUdfResults and squashes the following commits: da14879 [Michael Armbrust] Fix test 6343bcb [Michael Armbrust] add test 9533286 [Michael Armbrust] Correctly preserve the result attribute of python UDFs though transformations
…nTree SPARK-3934: When run with a mix of unordered categorical and continuous features, on multiclass classification, RandomForest fails. The bug is in the sanity checks in getFeatureOffset and getLeftRightFeatureOffsets, which use the wrong indices for checking whether features are unordered. Fix: Remove the sanity checks since they are not really needed, and since they would require DTStatsAggregator to keep track of an extra set of indices (for the feature subset). Added test to RandomForestSuite which failed with old version but now works. SPARK-3918: Added baggedInput.unpersist at end of training. Also: * I removed DTStatsAggregator.isUnordered since it is no longer used. * DecisionTreeMetadata: Added logWarning when maxBins is automatically reduced. * Updated DecisionTreeRunner to explicitly fix the test data to have the same number of features as the training data. This is a temporary fix which should eventually be replaced by pre-indexing both datasets. * RandomForestModel: Updated toString to print total number of nodes in forest. * Changed Predict class to be public DeveloperApi. This was necessary to allow users to create their own trees by hand (for testing). CC: mengxr manishamde chouqin codedeft Just notifying you of these small bug fixes. Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com> Closes #2785 from jkbradley/dtrunner-update and squashes the following commits: 9132321 [Joseph K. Bradley] merged with master, fixed imports 9dbd000 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dtrunner-update e116473 [Joseph K. Bradley] Changed Predict class to be public DeveloperApi. f502e65 [Joseph K. Bradley] bug fix for SPARK-3934 7f3d60f [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dtrunner-update ba567ab [Joseph K. Bradley] Changed DTRunner to load test data using same number of features as in training data. 4e88c1f [Joseph K. Bradley] changed RF toString to print total number of nodes
Make JavaPairRDD.collectAsMap result Serializable since Java Maps generally are Author: Sean Owen <sowen@cloudera.com> Closes #2805 from srowen/SPARK-3926 and squashes the following commits: ecb78ee [Sean Owen] Fix conflict between java.io.Serializable and use of Scala's Serializable f4717f9 [Sean Owen] Oops, fix compile problem ae1b36f [Sean Owen] Expand to cover Maps returned from other Java API methods as well 51c26c2 [Sean Owen] Make JavaPairRDD.collectAsMap result Serializable since Java Maps generally are
…rogramming Guide Having Python examples in Streaming Programming Guide. Also add RecoverableNetworkWordCount example. Author: Davies Liu <davies.liu@gmail.com> Author: Davies Liu <davies@databricks.com> Closes #2808 from davies/pyguide and squashes the following commits: 8d4bec4 [Davies Liu] update readme 26a7e37 [Davies Liu] fix format 3821c4d [Davies Liu] address comments, add missing file 7e4bb8a [Davies Liu] add Python examples in Streaming Programming Guide
This patch attempts to fix SPARK-2546 in `branch-1.0` and `branch-1.1`. The underlying problem is that thread-safety issues in Hadoop Configuration objects may cause Spark tasks to get stuck in infinite loops. The approach taken here is to clone a new copy of the JobConf for each task rather than sharing a single copy between tasks. Note that there are still Configuration thread-safety issues that may affect the driver, but these seem much less likely to occur in practice and will be more complex to fix (see discussion on the SPARK-2546 ticket). This cloning is guarded by a new configuration option (`spark.hadoop.cloneConf`) and is disabled by default in order to avoid unexpected performance regressions for workloads that are unaffected by the Configuration thread-safety issues. Author: Josh Rosen <joshrosen@apache.org> Closes #2684 from JoshRosen/jobconf-fix-backport and squashes the following commits: f14f259 [Josh Rosen] Add configuration option to control cloning of Hadoop JobConf. b562451 [Josh Rosen] Remove unused jobConfCacheKey field. dd25697 [Josh Rosen] [SPARK-2546] [1.0 / 1.1 backport] Clone JobConf for each task. (cherry picked from commit 2cd40db) Signed-off-by: Josh Rosen <joshrosen@databricks.com> Conflicts: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
This PR adds a Java API for AsyncRDDActions and promotes the API from `Experimental` to stable. Author: Josh Rosen <joshrosen@apache.org> Author: Josh Rosen <joshrosen@databricks.com> Closes #2760 from JoshRosen/async-rdd-actions-in-java and squashes the following commits: 0d45fbc [Josh Rosen] Whitespace fix. ad3ae53 [Josh Rosen] Merge remote-tracking branch 'origin/master' into async-rdd-actions-in-java c0153a5 [Josh Rosen] Remove unused variable. e8e2867 [Josh Rosen] Updates based on Marcelo's review feedback 7a1417f [Josh Rosen] Removed unnecessary java.util import. 6f8f6ac [Josh Rosen] Fix import ordering. ff28e49 [Josh Rosen] Add MiMa excludes and fix a scalastyle error. 346e46e [Josh Rosen] [SPARK-3902] Stabilize AsyncRDDActions; add Java API.
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…afka connector Add ReliableKafkaReceiver in Kafka connector to prevent data loss if WAL in Spark Streaming is enabled. Details and design doc can be seen in [SPARK-4062](https://issues.apache.org/jira/browse/SPARK-4062). Author: jerryshao <saisai.shao@intel.com> Author: Tathagata Das <tathagata.das1565@gmail.com> Author: Saisai Shao <saisai.shao@intel.com> Closes apache#2991 from jerryshao/kafka-refactor and squashes the following commits: 5461f1c [Saisai Shao] Merge pull request #8 from tdas/kafka-refactor3 eae4ad6 [Tathagata Das] Refectored KafkaStreamSuiteBased to eliminate KafkaTestUtils and made Java more robust. fab14c7 [Tathagata Das] minor update. 149948b [Tathagata Das] Fixed mistake 14630aa [Tathagata Das] Minor updates. d9a452c [Tathagata Das] Minor updates. ec2e95e [Tathagata Das] Removed the receiver's locks and essentially reverted to Saisai's original design. 2a20a01 [jerryshao] Address some comments 9f636b3 [Saisai Shao] Merge pull request #5 from tdas/kafka-refactor b2b2f84 [Tathagata Das] Refactored Kafka receiver logic and Kafka testsuites e501b3c [jerryshao] Add Mima excludes b798535 [jerryshao] Fix the missed issue e5e21c1 [jerryshao] Change to while loop ea873e4 [jerryshao] Further address the comments 98f3d07 [jerryshao] Fix comment style 4854ee9 [jerryshao] Address all the comments 96c7a1d [jerryshao] Update the ReliableKafkaReceiver unit test 8135d31 [jerryshao] Fix flaky test a949741 [jerryshao] Address the comments 16bfe78 [jerryshao] Change the ordering of imports 0894aef [jerryshao] Add some comments 77c3e50 [jerryshao] Code refactor and add some unit tests dd9aeeb [jerryshao] Initial commit for reliable Kafka receiver
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…if sql has null
val jsc = new org.apache.spark.api.java.JavaSparkContext(sc)
val jhc = new org.apache.spark.sql.hive.api.java.JavaHiveContext(jsc)
val nrdd = jhc.hql("select null from spark_test.for_test")
println(nrdd.schema)
Then the error is thrown as follows:
scala.MatchError: NullType (of class org.apache.spark.sql.catalyst.types.NullType$)
at org.apache.spark.sql.types.util.DataTypeConversions$.asJavaDataType(DataTypeConversions.scala:43)
Author: YanTangZhai <hakeemzhai@tencent.com>
Author: yantangzhai <tyz0303@163.com>
Author: Michael Armbrust <michael@databricks.com>
Closes apache#3538 from YanTangZhai/MatchNullType and squashes the following commits:
e052dff [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null
4b4bb34 [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null
896c7b7 [yantangzhai] fix NullType MatchError in JavaSchemaRDD when sql has null
6e643f8 [YanTangZhai] Merge pull request #11 from apache/master
e249846 [YanTangZhai] Merge pull request #10 from apache/master
d26d982 [YanTangZhai] Merge pull request #9 from apache/master
76d4027 [YanTangZhai] Merge pull request #8 from apache/master
03b62b0 [YanTangZhai] Merge pull request #7 from apache/master
8a00106 [YanTangZhai] Merge pull request #6 from apache/master
cbcba66 [YanTangZhai] Merge pull request #3 from apache/master
cdef539 [YanTangZhai] Merge pull request #1 from apache/master
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…ins an empty AttributeSet() references The sql "select * from spark_test::for_test where abs(20141202) is not null" has predicates=List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202)) and partitionKeyIds=AttributeSet(). PruningPredicates is List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202)). Then the exception "java.lang.IllegalArgumentException: requirement failed: Partition pruning predicates only supported for partitioned tables." is thrown. The sql "select * from spark_test::for_test_partitioned_table where abs(20141202) is not null and type_id=11 and platform = 3" with partitioned key insert_date has predicates=List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202), (type_id#12 = 11), (platform#8 = 3)) and partitionKeyIds=AttributeSet(insert_date#24). PruningPredicates is List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202)). Author: YanTangZhai <hakeemzhai@tencent.com> Author: yantangzhai <tyz0303@163.com> Closes apache#3556 from YanTangZhai/SPARK-4693 and squashes the following commits: 620ebe3 [yantangzhai] [SPARK-4693] [SQL] PruningPredicates may be wrong if predicates contains an empty AttributeSet() references 37cfdf5 [yantangzhai] [SPARK-4693] [SQL] PruningPredicates may be wrong if predicates contains an empty AttributeSet() references 70a3544 [yantangzhai] [SPARK-4693] [SQL] PruningPredicates may be wrong if predicates contains an empty AttributeSet() references efa9b03 [YanTangZhai] Update HiveQuerySuite.scala 72accf1 [YanTangZhai] Update HiveQuerySuite.scala e572b9a [YanTangZhai] Update HiveStrategies.scala 6e643f8 [YanTangZhai] Merge pull request #11 from apache/master e249846 [YanTangZhai] Merge pull request #10 from apache/master d26d982 [YanTangZhai] Merge pull request #9 from apache/master 76d4027 [YanTangZhai] Merge pull request #8 from apache/master 03b62b0 [YanTangZhai] Merge pull request #7 from apache/master 8a00106 [YanTangZhai] Merge pull request #6 from apache/master cbcba66 [YanTangZhai] Merge pull request #3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master
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…askTracker to reduce the chance of the communicating problem Using AkkaUtils.askWithReply in MapOutputTracker.askTracker to reduce the chance of the communicating problem Author: YanTangZhai <hakeemzhai@tencent.com> Author: yantangzhai <tyz0303@163.com> Closes apache#3785 from YanTangZhai/SPARK-4946 and squashes the following commits: 9ca6541 [yantangzhai] [SPARK-4946] [CORE] Using AkkaUtils.askWithReply in MapOutputTracker.askTracker to reduce the chance of the communicating problem e4c2c0a [YanTangZhai] Merge pull request #15 from apache/master 718afeb [YanTangZhai] Merge pull request #12 from apache/master 6e643f8 [YanTangZhai] Merge pull request #11 from apache/master e249846 [YanTangZhai] Merge pull request #10 from apache/master d26d982 [YanTangZhai] Merge pull request #9 from apache/master 76d4027 [YanTangZhai] Merge pull request #8 from apache/master 03b62b0 [YanTangZhai] Merge pull request #7 from apache/master 8a00106 [YanTangZhai] Merge pull request #6 from apache/master cbcba66 [YanTangZhai] Merge pull request #3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master
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Support ! boolean logic operator like NOT in sql as follows select * from for_test where !(col1 > col2) Author: YanTangZhai <hakeemzhai@tencent.com> Author: Michael Armbrust <michael@databricks.com> Closes apache#3555 from YanTangZhai/SPARK-4692 and squashes the following commits: 1a9f605 [YanTangZhai] Update HiveQuerySuite.scala 7c03c68 [YanTangZhai] Merge pull request #23 from apache/master 992046e [YanTangZhai] Update HiveQuerySuite.scala ea618f4 [YanTangZhai] Update HiveQuerySuite.scala 192411d [YanTangZhai] Merge pull request #17 from YanTangZhai/master e4c2c0a [YanTangZhai] Merge pull request #15 from apache/master 1e1ebb4 [YanTangZhai] Update HiveQuerySuite.scala efc4210 [YanTangZhai] Update HiveQuerySuite.scala bd2c444 [YanTangZhai] Update HiveQuerySuite.scala 1893956 [YanTangZhai] Merge pull request #14 from marmbrus/pr/3555 59e4de9 [Michael Armbrust] make hive test 718afeb [YanTangZhai] Merge pull request #12 from apache/master 950b21e [YanTangZhai] Update HiveQuerySuite.scala 74175b4 [YanTangZhai] Update HiveQuerySuite.scala 92242c7 [YanTangZhai] Update HiveQl.scala 6e643f8 [YanTangZhai] Merge pull request #11 from apache/master e249846 [YanTangZhai] Merge pull request #10 from apache/master d26d982 [YanTangZhai] Merge pull request #9 from apache/master 76d4027 [YanTangZhai] Merge pull request #8 from apache/master 03b62b0 [YanTangZhai] Merge pull request #7 from apache/master 8a00106 [YanTangZhai] Merge pull request #6 from apache/master cbcba66 [YanTangZhai] Merge pull request #3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master
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