[jira] [Resolved] (SPARK-7698) Implement buffer pooling / re-use in ExecutorMemoryManager when using HeapAllocator

["Josh Rosen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-7698?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Josh Rosen resolved SPARK-7698.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.0

Issue resolved by pull request 6227
[https://github.com/apache/spark/pull/6227]

> Implement buffer pooling / re-use in ExecutorMemoryManager when using HeapAllocator
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-7698
>                 URL: https://issues.apache.org/jira/browse/SPARK-7698
>             Project: Spark
>          Issue Type: New Feature
>          Components: Spark Core
>            Reporter: Josh Rosen
>            Assignee: Josh Rosen
>             Fix For: 1.4.0
>
>
> When on-heap memory allocation is used, ExecutorMemoryManager should maintain a cache / pool of buffers for re-use by tasks.  This will significantly improve the performance of the new Tungsten's sort-shuffle for jobs with many short-lived tasks by eliminating a major source of GC.



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