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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:04:30 UTC
[jira] [Updated] (SPARK-12650) No means to specify Xmx settings for
spark-submit in cluster deploy mode for Spark on YARN
[ https://issues.apache.org/jira/browse/SPARK-12650?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-12650:
---------------------------------
Labels: bulk-closed (was: )
> No means to specify Xmx settings for spark-submit in cluster deploy mode for Spark on YARN
> ------------------------------------------------------------------------------------------
>
> Key: SPARK-12650
> URL: https://issues.apache.org/jira/browse/SPARK-12650
> Project: Spark
> Issue Type: Bug
> Components: Spark Submit
> Affects Versions: 1.5.2
> Environment: Hadoop 2.6.0
> Reporter: John Vines
> Priority: Major
> Labels: bulk-closed
>
> Background-
> I have an app master designed to do some work and then launch a spark job.
> Issue-
> If I use yarn-cluster, then the SparkSubmit does not Xmx itself at all, leading to the jvm taking a default heap which is relatively large. This causes a large amount of vmem to be taken, so that it is killed by yarn. This can be worked around by disabling Yarn's vmem check, but that is a hack.
> If I run it in yarn-client mode, it's fine as long as my container has enough space for the driver, which is manageable. But I feel that the utter lack of Xmx settings for what I believe is a very small jvm is a problem.
> I believe this was introduced with the fix for SPARK-3884
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