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https://issues.apache.org/jira/browse/SPARK-11022?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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colin shaw updated SPARK-11022:
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Summary: Spark Worker process find Memory leaking after long time running
(was: Spark Worker process find Memory leak after long time running)
> Spark Worker process find Memory leaking after long time running
> ----------------------------------------------------------------
>
> Key: SPARK-11022
> URL: https://issues.apache.org/jira/browse/SPARK-11022
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.4.0
> Reporter: colin shaw
>
> Worker process often down,while there were not any abnormal tasks，just crash
> without anymessage， after added "-XX:+HeapDumpOnOutOfMemoryError
> -XX:HeapDumpPath=${SPARK_HOME}/logs", a dump file show there is "17,010
> instances of "org.apache.spark.deploy.worker.ExecutorRunner", loaded by
> "sun.misc.Launcher$AppClassLoader @ 0xe2abfcc8" occupy 496,706,920 (96.14%)
> bytes. "
> and almost all the instance were stored in a
> "org.apache.spark.deploy.worker.Worker" instance, the finishedExecutors field
> hold many ExecutorRunner.
> The codes(Worker.scala) shows finishedExecutors just
> "finishedExecutors(fullId) = executor" and
> "finishedExecutors.values.toList",there is no action which remove the
> Executor,all were stored in memory,so after long time running,crashed.
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