[jira] [Commented] (SPARK-5095) Support launching multiple mesos executors in coarse grained mesos mode

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-5095?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15124473#comment-15124473 ] 

Apache Spark commented on SPARK-5095:
-------------------------------------

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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