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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAPREDUCE-1073) Progress reported for pipes tasks is incorrect.
Date Wed, 07 Apr 2010 00:56:33 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-1073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12854287#action_12854287

Hadoop QA commented on MAPREDUCE-1073:

-1 overall.  Here are the results of testing the latest attachment 
  against trunk revision 931274.

    +1 @author.  The patch does not contain any @author tags.

    +1 tests included.  The patch appears to include 8 new or modified tests.

    +1 javadoc.  The javadoc tool did not generate any warning messages.

    +1 javac.  The applied patch does not increase the total number of javac compiler warnings.

    +1 findbugs.  The patch does not introduce any new Findbugs warnings.

    +1 release audit.  The applied patch does not increase the total number of release audit

    -1 core tests.  The patch failed core unit tests.

    +1 contrib tests.  The patch passed contrib unit tests.

Test results: http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h4.grid.sp2.yahoo.net/96/testReport/
Findbugs warnings: http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h4.grid.sp2.yahoo.net/96/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Checkstyle results: http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h4.grid.sp2.yahoo.net/96/artifact/trunk/build/test/checkstyle-errors.html
Console output: http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h4.grid.sp2.yahoo.net/96/console

This message is automatically generated.

> Progress reported for pipes tasks is incorrect.
> -----------------------------------------------
>                 Key: MAPREDUCE-1073
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-1073
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: pipes
>    Affects Versions: 0.20.1
>            Reporter: Sreekanth Ramakrishnan
>         Attachments: mapreduce-1073--2010-03-31.patch, mapreduce-1073--2010-04-06.patch,
> Currently in pipes, {{org.apache.hadoop.mapred.pipes.PipesMapRunner.run(RecordReader<K1,
V1>, OutputCollector<K2, V2>, Reporter)}} we do the following:
> {code}
>         while (input.next(key, value)) {
>           downlink.mapItem(key, value);
>           if(skipping) {
>             downlink.flush();
>           }
>         }
> {code}
> This would result in consumption of all the records for current task and taking task
progress to 100% whereas the actual pipes application would be trailing behind. 

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