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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-12248) Make Spark Coarse Mesos Scheduler obey limits on memory/cpu ratios
Date Wed, 09 Dec 2015 23:23:11 GMT

     [ https://issues.apache.org/jira/browse/SPARK-12248?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-12248:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>
> 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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