[jira] [Updated] (SPARK-12099) Standalone and Mesos Should use OnOutOfMemoryError handlers

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12099?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-12099:
---------------------------------
    Labels: bulk-closed  (was: )

> Standalone and Mesos Should use OnOutOfMemoryError handlers
> -----------------------------------------------------------
>
>                 Key: SPARK-12099
>                 URL: https://issues.apache.org/jira/browse/SPARK-12099
>             Project: Spark
>          Issue Type: Improvement
>          Components: Deploy, Mesos
>    Affects Versions: 1.6.0
>            Reporter: Imran Rashid
>            Priority: Major
>              Labels: bulk-closed
>
> cc [~andrewor14] [~tnachen]
> On SPARK-11801, we've been discussing the use of {{OnOutMemoryError}} to terminate the jvm in yarn mode.  There seems to be consensus that this is indeed the right thing to do.  I assume that the other cluster managers should also be doing the same thing.  Though maybe there is a good reason for not including it under standalone & mesos mode (or perhaps this is already happening via some other mechanism I'm not seeing).  In any case, I thought it was worth drawing your attention to it, I didn't see this discussed in any previous issue.
> (Note that there are currently some drawbacks to using {{OnOutOfMemoryError}}, in that you get some confusing msgs, but hopefully SPARK-11801 will address that.)



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