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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-2711) Create a ShuffleMemoryManager that allocates across spilling collections in the same task
Date Fri, 01 Aug 2014 02:56:41 GMT

    [ https://issues.apache.org/jira/browse/SPARK-2711?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14081852#comment-14081852
] 

Apache Spark commented on SPARK-2711:
-------------------------------------

User 'mateiz' has created a pull request for this issue:
https://github.com/apache/spark/pull/1707

> Create a ShuffleMemoryManager that allocates across spilling collections in the same
task
> -----------------------------------------------------------------------------------------
>
>                 Key: SPARK-2711
>                 URL: https://issues.apache.org/jira/browse/SPARK-2711
>             Project: Spark
>          Issue Type: Improvement
>            Reporter: Matei Zaharia
>            Assignee: Matei Zaharia
>            Priority: Critical
>
> Right now if there are two ExternalAppendOnlyMaps, they don't compete correctly for memory.
This can happen e.g. in a task that is both reducing data from its parent RDD and writing
it out to files for a future shuffle, for instance if you do rdd.groupByKey(...).map(...).groupByKey(...)
(another key).



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