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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/06/20 01:06:00 UTC

[jira] [Assigned] (SPARK-21146) Worker should handle and shutdown when any thread gets UncaughtException

     [ https://issues.apache.org/jira/browse/SPARK-21146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-21146:
------------------------------------

    Assignee: Apache Spark

> 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: Apache Spark
>
> {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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