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https://issues.apache.org/jira/browse/SPARK-3535?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14139763#comment-14139763
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Brenden Matthews edited comment on SPARK-3535 at 9/18/14 11:58 PM:
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After some even further digging, I noticed the following error in the Mesos
slave log:
E0918 23:13:48.726176 130743 slave.cpp:2204] Failed to update resources for
container ae051668-6cb8-4252-8b6e-cfbac38e7e5c of executor
20140813-050807-3852091146-5050-1861-231 running task 3 on status update for
terminal task, destroying container:Collect failed: No cpus resource given
I'll update my patch accordingly.
was (Author: brenden):
After some even futher digging, I noticed the following error in the Mesos
slave log:
E0918 23:13:48.726176 130743 slave.cpp:2204] Failed to update resources for
container ae051668-6cb8-4252-8b6e-cfbac38e7e5c of executor
20140813-050807-3852091146-5050-1861-231 running task 3 on status update for
terminal task, destroying container:Collect failed: No cpus resource given
I'll update my patch accordingly.
> Spark on Mesos not correctly setting heap overhead
> --------------------------------------------------
>
> Key: SPARK-3535
> URL: https://issues.apache.org/jira/browse/SPARK-3535
> Project: Spark
> Issue Type: Bug
> Components: Mesos
> Affects Versions: 1.1.0
> Reporter: Brenden Matthews
>
> Spark on Mesos does account for any memory overhead. The result is that
> tasks are OOM killed nearly 95% of the time.
> Like with the Hadoop on Mesos project, Spark should set aside 15-25% of the
> executor memory for JVM overhead.
> For example, see:
> https://github.com/mesos/hadoop/blob/master/src/main/java/org/apache/hadoop/mapred/ResourcePolicy.java#L55-L63
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