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Posted to issues@spark.apache.org by "Shixiong Zhu (JIRA)" <ji...@apache.org> on 2016/10/18 23:13:58 UTC

[jira] [Commented] (SPARK-17630) jvm-exit-on-fatal-error handler for spark.rpc.netty like there is available for akka

    [ https://issues.apache.org/jira/browse/SPARK-17630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15586979#comment-15586979 ] 

Shixiong Zhu commented on SPARK-17630:
--------------------------------------

Yeah, I think we can set up SparkUncaughtExceptionHandler for R and Python users.

> jvm-exit-on-fatal-error handler for spark.rpc.netty like there is available for akka
> ------------------------------------------------------------------------------------
>
>                 Key: SPARK-17630
>                 URL: https://issues.apache.org/jira/browse/SPARK-17630
>             Project: Spark
>          Issue Type: Question
>          Components: Spark Core
>    Affects Versions: 1.6.0
>            Reporter: Mario Briggs
>         Attachments: SecondCodePath.txt, firstCodepath.txt
>
>
> Hi,
> I have 2 code-paths from my app that result in a jvm OOM. 
> In the first code path, 'akka.jvm-exit-on-fatal-error' kicks in and shuts down the JVM, so that the caller (py4J) get notified with proper stack trace. Attached stack-trace file (firstCodepath.txt)
> In the 2nd code path (rpc.netty), no such handler kicks in and shutdown the JVM, so the caller does not get notified. 
> Attached stack-trace file (SecondCodepath.txt)
> Is it possible to have an jvm exit handle for the rpc. netty path?
>  



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