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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-7698) Implement buffer pooling / re-use in ExecutorMemoryManager when using HeapAllocator
Date Mon, 18 May 2015 03:10:00 GMT

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

Apache Spark reassigned SPARK-7698:
-----------------------------------

    Assignee: Josh Rosen  (was: Apache Spark)

> 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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