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https://issues.apache.org/jira/browse/MAPREDUCE-1218?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12798214#action_12798214
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Hadoop QA commented on MAPREDUCE-1218:
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+1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12429587/MAPREDUCE-1218-v5.patch
against trunk revision 897118.
+1 @author. The patch does not contain any @author tags.
+1 tests included. The patch appears to include 15 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 warnings.
+1 core tests. The patch passed core unit tests.
+1 contrib tests. The patch passed contrib unit tests.
Test results:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h3.grid.sp2.yahoo.net/257/testReport/
Findbugs warnings:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h3.grid.sp2.yahoo.net/257/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Checkstyle results:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h3.grid.sp2.yahoo.net/257/artifact/trunk/build/test/checkstyle-errors.html
Console output:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h3.grid.sp2.yahoo.net/257/console
This message is automatically generated.
> Collecting cpu and memory usage for TaskTrackers
> ------------------------------------------------
>
> Key: MAPREDUCE-1218
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-1218
> Project: Hadoop Map/Reduce
> Issue Type: Sub-task
> Affects Versions: 0.22.0
> Environment: linux
> Reporter: Scott Chen
> Assignee: Scott Chen
> Fix For: 0.22.0
>
> Attachments: MAPREDUCE-1218-rename.sh, MAPREDUCE-1218-v2.patch,
> MAPREDUCE-1218-v3.patch, MAPREDUCE-1218-v4.patch, MAPREDUCE-1218-v5.patch,
> MAPREDUCE-1218.patch
>
>
> The information can be used for resource aware scheduling.
> Note that this is related to MAPREDUCE-220. There the per task resource
> information is collected.
> This one collects the per machine information.
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