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From "Todd Lipcon (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAPREDUCE-2051) Contribute a fair scheduler preemption system test
Date Wed, 27 Oct 2010 00:10:21 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-2051?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12925213#action_12925213
] 

Todd Lipcon commented on MAPREDUCE-2051:
----------------------------------------

     [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 2 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] 
     [exec]     +1 system tests framework.  The patch passed system tests framework compile.


> Contribute a fair scheduler preemption system test
> --------------------------------------------------
>
>                 Key: MAPREDUCE-2051
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-2051
>             Project: Hadoop Map/Reduce
>          Issue Type: Test
>          Components: contrib/fair-share
>    Affects Versions: 0.22.0
>            Reporter: Todd Lipcon
>            Assignee: Todd Lipcon
>         Attachments: mapreduce-2051.txt
>
>
> We've seen a number of bugs in the fair share scheduler not caught by its unit tests,
which are heavily mock-based. This JIRA is to add an integration/system/stress test for the
fairshare scheduler. This test can help identify races and deadlocks, and when run within
the jcarder framework has identified several potential deadlocks for us that aren't turned
up running small scale testing.

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