[ https://issues.apache.org/jira/browse/MAPREDUCE-776?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12755381#action_12755381
]
Hadoop QA commented on MAPREDUCE-776:
-------------------------------------
-1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12419603/M776-2.patch
against trunk revision 814749.
+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
warnings.
+1 core tests. The patch passed core unit tests.
-1 contrib tests. The patch failed contrib unit tests.
Test results: http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/77/testReport/
Findbugs warnings: http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/77/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Checkstyle results: http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/77/artifact/trunk/build/test/checkstyle-errors.html
Console output: http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/77/console
This message is automatically generated.
> Gridmix: Trace-based benchmark for Map/Reduce
> ---------------------------------------------
>
> Key: MAPREDUCE-776
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-776
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Components: benchmarks
> Reporter: Chris Douglas
> Assignee: Chris Douglas
> Attachments: M776-1.patch, M776-2.patch, MR776-0.patch
>
>
> Previous benchmarks ( HADOOP-2369 , HADOOP-3770 ), while informed by production jobs,
were principally load generating tools used to validate stability and performance under saturation.
The important dimensions of that load- submission order/rate, I/O profile, CPU usage, etc-
only accidentally match that of the real load on the cluster. Given related work that characterizes
production load ( MAPREDUCE-751 ), it would be worthwhile to use mined data to impose a corresponding
load for tuning and guiding development of the framework.
> The first version will focus on modeling task I/O, submission, and memory usage.
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.
|