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https://issues.apache.org/jira/browse/SPARK-21146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu resolved SPARK-21146.
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Resolution: Fixed
Assignee: Devaraj K
Fix Version/s: 2.3.0
> Master/Worker should handle and shutdown when any thread gets
> UncaughtException
> -------------------------------------------------------------------------------
>
> Key: SPARK-21146
> URL: https://issues.apache.org/jira/browse/SPARK-21146
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.1.1
> Reporter: Devaraj K
> Assignee: Devaraj K
> Fix For: 2.3.0
>
>
> {code:xml}
> 17/06/19 11:41:23 INFO Worker: Asked to launch executor
> app-20170619114055-0005/228 for ScalaSort
> Exception in thread "dispatcher-event-loop-79" java.lang.OutOfMemoryError:
> unable to create new native thread
> at java.lang.Thread.start0(Native Method)
> at java.lang.Thread.start(Thread.java:714)
> at
> java.util.concurrent.ThreadPoolExecutor.addWorker(ThreadPoolExecutor.java:950)
> at
> java.util.concurrent.ThreadPoolExecutor.processWorkerExit(ThreadPoolExecutor.java:1018)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1160)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {code}
> I see in the logs that Worker's dispatcher-event got the above exception and
> the Worker keeps running without performing any functionality. And also
> Worker state changed from ALIVE to DEAD in Master's web UI.
> {code:xml}
> worker-20170619150349-192.168.1.120-56175 192.168.1.120:56175 DEAD
> 88 (41 Used) 251.2 GB (246.0 GB Used)
> {code}
> I think Worker should handle and shutdown when any thread gets
> UncaughtException.
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