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https://issues.apache.org/jira/browse/SPARK-7698?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14547487#comment-14547487
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Apache Spark commented on SPARK-7698:
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User 'JoshRosen' has created a pull request for this issue:
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
>
> 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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