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https://issues.apache.org/jira/browse/SPARK-5095?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15124473#comment-15124473
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Apache Spark commented on SPARK-5095:
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User 'mgummelt' has created a pull request for this issue:
https://github.com/apache/spark/pull/10993
> Support launching multiple mesos executors in coarse grained mesos mode
> -----------------------------------------------------------------------
>
> Key: SPARK-5095
> URL: https://issues.apache.org/jira/browse/SPARK-5095
> Project: Spark
> Issue Type: Improvement
> Components: Mesos
> Affects Versions: 1.0.0
> Reporter: Timothy Chen
> Assignee: Timothy Chen
>
> Currently in coarse grained mesos mode, it's expected that we only launch one
> Mesos executor that launches one JVM process to launch multiple spark
> executors.
> However, this become a problem when the JVM process launched is larger than
> an ideal size (30gb is recommended value from databricks), which causes GC
> problems reported on the mailing list.
> We should support launching mulitple executors when large enough resources
> are available for spark to use, and these resources are still under the
> configured limit.
> This is also applicable when users want to specifiy number of executors to be
> launched on each node
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