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https://issues.apache.org/jira/browse/SPARK-12248?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15049612#comment-15049612
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Apache Spark commented on SPARK-12248:
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User 'drcrallen' has created a pull request for this issue:
https://github.com/apache/spark/pull/10232
> Make Spark Coarse Mesos Scheduler obey limits on memory/cpu ratios
> ------------------------------------------------------------------
>
> Key: SPARK-12248
> URL: https://issues.apache.org/jira/browse/SPARK-12248
> Project: Spark
> Issue Type: Improvement
> Components: Mesos
> Reporter: Charles Allen
>
> It is possible to have spark apps that work best with either more memory or
> more CPU.
> In a multi-tenant environment (such as Mesos) it can be very beneficial to be
> able to limit the Coarse scheduler to guarantee an executor doesn't subscribe
> to too many cpus or too much memory.
> This ask is to add functionality to the Coarse Mesos Scheduler to have basic
> limits to the ratio of memory to cpu, which default to the current behavior
> of soaking up whatever resources it can.
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