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From "Hudson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-5821) IFile merge allocates new byte array for every value
Date Fri, 16 May 2014 10:49:16 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-5821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13999011#comment-13999011

Hudson commented on MAPREDUCE-5821:

SUCCESS: Integrated in Hadoop-trunk-Commit #5605 (See [https://builds.apache.org/job/Hadoop-trunk-Commit/5605/])
MAPREDUCE-5821. Avoid unintentional reallocation of byte arrays in segments
during merge. Contributed by Todd Lipcon (cdouglas: http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1594654)
* /hadoop/common/trunk/hadoop-mapreduce-project/CHANGES.txt
* /hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapred/Merger.java

> IFile merge allocates new byte array for every value
> ----------------------------------------------------
>                 Key: MAPREDUCE-5821
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5821
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: performance, task
>    Affects Versions: 2.4.1
>            Reporter: Todd Lipcon
>            Assignee: Todd Lipcon
>             Fix For: 3.0.0, 2.5.0, 2.4.1
>         Attachments: after-patch.png, before-patch.png, mapreduce-5821.txt, mapreduce-5821.txt
> I wrote a standalone benchmark of the MapOutputBuffer and found that it did a lot of
allocations during the merge phase. After looking at an allocation profile, I found that IFile.Reader.nextRawValue()
would always allocate a new byte array for every value, so the allocation rate goes way up
during the merge phase of the mapper. I imagine this also affects the reducer input, though
I didn't profile that.

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