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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-2369) Representative mix of jobs for large cluster throughput benchmarking
Date Wed, 19 Dec 2007 02:38:43 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-2369?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12553207
] 

Hadoop QA commented on HADOOP-2369:
-----------------------------------

+1 overall.  Here are the results of testing the latest attachment 
http://issues.apache.org/jira/secure/attachment/12371832/gridmix-1.patch
against trunk revision r605299.

    @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 passed core unit tests.

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

Test results: http://lucene.zones.apache.org:8080/hudson/job/Hadoop-Patch/1388/testReport/
Findbugs warnings: http://lucene.zones.apache.org:8080/hudson/job/Hadoop-Patch/1388/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Checkstyle results: http://lucene.zones.apache.org:8080/hudson/job/Hadoop-Patch/1388/artifact/trunk/build/test/checkstyle-errors.html
Console output: http://lucene.zones.apache.org:8080/hudson/job/Hadoop-Patch/1388/console

This message is automatically generated.

> Representative mix of jobs for large cluster throughput benchmarking
> --------------------------------------------------------------------
>
>                 Key: HADOOP-2369
>                 URL: https://issues.apache.org/jira/browse/HADOOP-2369
>             Project: Hadoop
>          Issue Type: Test
>          Components: test
>            Reporter: Chris Douglas
>            Assignee: Runping Qi
>             Fix For: 0.16.0
>
>         Attachments: gridmix-0.patch, gridmix-1.patch
>
>
> The benchmarking load will consist of a set of map/reduce jobs of varying types and sizes.
The mix of jobs will emulate observed user loads on large Hadoop clusters.

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