[jira] [Resolved] (SPARK-22567) spark.mesos.executor.memoryOverhead equivalent for the Driver when running on Mesos

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-22567?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-22567.
----------------------------------
    Resolution: Incomplete

> spark.mesos.executor.memoryOverhead equivalent for the Driver when running on Mesos
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-22567
>                 URL: https://issues.apache.org/jira/browse/SPARK-22567
>             Project: Spark
>          Issue Type: Improvement
>          Components: Mesos
>    Affects Versions: 2.2.0
>            Reporter: Michael Moss
>            Priority: Minor
>              Labels: bulk-closed
>
> spark.mesos.executor.memoryOverhead is:
> "The amount of additional memory, specified in MB, to be allocated per executor. By default, the overhead will be larger of either 384 or 10% of spark.executor.memory"
> It is important for every JVM process to have memory available to it, beyond its heap (Xmx) for native allocations.
> When using the MesosClusterDispatcher and running the Driver on Mesos (https://spark.apache.org/docs/latest/running-on-mesos.html#cluster-mode), it appears that the Driver's mesos sandbox is allocated with the same amount of memory (configured with spark.driver.memory) as the heap (Xmx) itself. This increases the prevalence of OOM exceptions.



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