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https://issues.apache.org/jira/browse/HADOOP-2449?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12558144#action_12558144
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Hadoop QA commented on HADOOP-2449:
-----------------------------------

-1 overall.  Here are the results of testing the latest attachment 
http://issues.apache.org/jira/secure/attachment/12371829/fixNNBenchPatch.txt
against trunk revision r611264.

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

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

    javac +1.  The applied patch does not generate any new compiler warnings.

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

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

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

Test results: 
http://lucene.zones.apache.org:8080/hudson/job/Hadoop-Patch/1546/testReport/
Findbugs warnings: 
http://lucene.zones.apache.org:8080/hudson/job/Hadoop-Patch/1546/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Checkstyle results: 
http://lucene.zones.apache.org:8080/hudson/job/Hadoop-Patch/1546/artifact/trunk/build/test/checkstyle-errors.html
Console output: 
http://lucene.zones.apache.org:8080/hudson/job/Hadoop-Patch/1546/console

This message is automatically generated.

> Restore the  old NN Bench that was replaced by a MR NN Bench
> ------------------------------------------------------------
>
>                 Key: HADOOP-2449
>                 URL: https://issues.apache.org/jira/browse/HADOOP-2449
>             Project: Hadoop
>          Issue Type: Test
>            Reporter: Sanjay Radia
>            Assignee: Sanjay Radia
>         Attachments: fixNNBenchPatch.txt
>
>
> The old NN Bench did not use Map Reduce.
> It was replaced by a new NN Bench that uses Map reduce.
> The old NN Bench is useful and should be restored.
>   - useful ofr simulated data niodes which do not work for Map reduce since 
> the job configs need to be persistent.
>   - a NN test that is independent of map reduce can be useful as it is one 
> less variable in figuring out bottlenecks.

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