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https://issues.apache.org/jira/browse/HADOOP-3019?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12631568#action_12631568
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Hadoop QA commented on HADOOP-3019:
-----------------------------------
-1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12390146/3019-1.patch
against trunk revision 696002.
+1 @author. The patch does not contain any @author tags.
+1 tests included. The patch appears to include 3 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 core tests. The patch failed core unit tests.
+1 contrib tests. The patch passed contrib unit tests.
Test results:
http://hudson.zones.apache.org/hudson/job/Hadoop-Patch/3276/testReport/
Findbugs warnings:
http://hudson.zones.apache.org/hudson/job/Hadoop-Patch/3276/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Checkstyle results:
http://hudson.zones.apache.org/hudson/job/Hadoop-Patch/3276/artifact/trunk/build/test/checkstyle-errors.html
Console output:
http://hudson.zones.apache.org/hudson/job/Hadoop-Patch/3276/console
This message is automatically generated.
> want input sampler & sorted partitioner
> ---------------------------------------
>
> Key: HADOOP-3019
> URL: https://issues.apache.org/jira/browse/HADOOP-3019
> Project: Hadoop Core
> Issue Type: New Feature
> Components: mapred
> Reporter: Doug Cutting
> Assignee: Chris Douglas
> Fix For: 0.19.0
>
> Attachments: 3019-0.patch, 3019-1.patch
>
>
> The input sampler should generate a small, random sample of the input, saved
> to a file.
> The partitioner should read the sample file and partition keys into
> relatively even-sized key-ranges, where the partition numbers correspond to
> key order.
> Note that when the sampler is used for partitioning, the number of samples
> required is proportional to the number of reduce partitions. 10x the
> intended reducer count should give good results.
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