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https://issues.apache.org/jira/browse/SPARK-12650?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15086133#comment-15086133
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John Vines commented on SPARK-12650:
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In the test example I was using, I set driver and executor to 512MB. When I
disabled vmem checking, they seemed to be running with the appropriate memory
settings. Getting the actual commind line executed it's a bit of a PITA, but I
can get it if it's actually needed.
> No means to specify Xmx settings for SparkSubmit in yarn-cluster mode
> ---------------------------------------------------------------------
>
> 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
>
> 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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