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https://issues.apache.org/jira/browse/SPARK-4940?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15116478#comment-15116478
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Eron Wright commented on SPARK-4940:
-------------------------------------
Another benefit of maximizing the # of allocated executors is improved data
locality, assuming that HDFS is running on most/all slaves. In other words,
executor allocation isn't data-aware, but Spark task allocation is.
> Support more evenly distributing cores for Mesos mode
> -----------------------------------------------------
>
> Key: SPARK-4940
> URL: https://issues.apache.org/jira/browse/SPARK-4940
> Project: Spark
> Issue Type: Improvement
> Components: Mesos
> Reporter: Timothy Chen
> Attachments: mesos-config-difference-3nodes-vs-2nodes.png
>
>
> Currently in Coarse grain mode the spark scheduler simply takes all the
> resources it can on each node, but can cause uneven distribution based on
> resources available on each slave.
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