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From "Amareshwari Sriramadasu (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAPREDUCE-1597) combinefileinputformat does not work with non-splittable files
Date Tue, 07 Sep 2010 04:32:34 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-1597?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12906668#action_12906668
] 

Amareshwari Sriramadasu commented on MAPREDUCE-1597:
----------------------------------------------------

test-patch result:
{noformat}
     [exec]
     [exec] +1 overall.
     [exec]
     [exec]     +1 @author.  The patch does not contain any @author tags.
     [exec]
     [exec]     +1 tests included.  The patch appears to include 3 new or modified tests.
     [exec]
     [exec]     +1 javadoc.  The javadoc tool did not generate any warning messages.
     [exec]
     [exec]     +1 javac.  The applied patch does not increase the total number of javac compiler
warnings.
     [exec]
     [exec]     +1 findbugs.  The patch does not introduce any new Findbugs warnings.
     [exec]
     [exec]     +1 release audit.  The applied patch does not increase the total number of
release audit warnings.
     [exec]
{noformat}

All core and contrib unit tests passed.

> combinefileinputformat does not work with non-splittable files
> --------------------------------------------------------------
>
>                 Key: MAPREDUCE-1597
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-1597
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>            Reporter: Namit Jain
>            Assignee: Amareshwari Sriramadasu
>             Fix For: 0.22.0
>
>         Attachments: patch-1597.txt
>
>
> CombineFileInputFormat.getSplits() does not take into account whether a file is splittable.
> This can lead to a problem for compressed text files - for example, getSplits() may return
more
> than 1 split depending on the size of the compressed file, all the splits recordreader
will read the
> complete file.
> I ran into this problem while using Hive on hadoop 20.

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