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https://issues.apache.org/jira/browse/SPARK-11700?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-11700:
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Target Version/s: 1.6.0
> Memory leak at SparkContext jobProgressListener stageIdToData map
> -----------------------------------------------------------------
>
> Key: SPARK-11700
> URL: https://issues.apache.org/jira/browse/SPARK-11700
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, SQL
> Affects Versions: 1.5.0, 1.5.1, 1.5.2
> Environment: Ubuntu 14.04 LTS, Oracle JDK 1.8.51 Apache tomcat
> 8.0.28. Spring 4
> Reporter: Kostas papageorgopoulos
> Priority: Critical
> Labels: leak, memory-leak
> Attachments: AbstractSparkJobRunner.java,
> SparkContextPossibleMemoryLeakIDEA_DEBUG.png, SparkHeapSpaceProgress.png,
> SparkMemoryAfterLotsOfConsecutiveRuns.png,
> SparkMemoryLeakAfterLotsOfRunsWithinTheSameContext.png
>
>
> it seems that there is A SparkContext jobProgressListener memory leak.*.
> Bellow i describe the steps i do to reproduce that.
> I have created a java webapp trying to abstractly Run some Spark Sql jobs
> that read data from HDFS (join them) and Write them To ElasticSearch using ES
> hadoop connector. After a Lot of consecutive runs i noticed that my heap
> space was full so i got an out of heap space error.
> At the attached file {code} AbstractSparkJobRunner {code} the {code} public
> final void run(T jobConfiguration, ExecutionLog executionLog) throws
> Exception {code} runs each time an Spark Sql Job is triggered. So tried to
> reuse the same SparkContext for a number of consecutive runs. If some rules
> apply i try to clean up the SparkContext by first calling {code}
> killSparkAndSqlContext {code}. This code eventually runs {code} synchronized
> (sparkContextThreadLock) {
> if (javaSparkContext != null) {
> LOGGER.info("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! CLEARING SPARK
> CONTEXT!!!!!!!!!!!!!!!!!!!!!!!!!!!");
> javaSparkContext.stop();
> javaSparkContext = null;
> sqlContext = null;
> System.gc();
> }
> numberOfRunningJobsForSparkContext.getAndSet(0);
> }
> {code}.
> So at some point in time i suppose that if no other SparkSql job should run i
> should kill the sparkContext (The
> AbstractSparkJobRunner.killSparkAndSqlContext runs) and this should be
> garbage collected from garbage collector. However this is not the case, Even
> if in my debugger shows that my JavaSparkContext object is null see attached
> picture {code} SparkContextPossibleMemoryLeakIDEA_DEBUG.png {code}.
> The jvisual vm shows an incremental heap space even when the garbage
> collector is called. See attached picture {code} SparkHeapSpaceProgress.png
> {code}.
> The memory analyser Tool shows that a big part of the retained heap to be
> assigned to _jobProgressListener see attached picture {code}
> SparkMemoryAfterLotsOfConsecutiveRuns.png {code} and summary picture {code}
> SparkMemoryLeakAfterLotsOfRunsWithinTheSameContext.png {code}. Although at
> the same time in Singleton Service the JavaSparkContext is null.
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