[jira] [Commented] (SPARK-12248) Make Spark Coarse Mesos Scheduler obey limits on memory/cpu ratios

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

    [ https://issues.apache.org/jira/browse/SPARK-12248?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15049612#comment-15049612 ] 

Apache Spark commented on SPARK-12248:
--------------------------------------

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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