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https://issues.apache.org/jira/browse/MAPREDUCE-1017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12767612#action_12767612
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Hadoop QA commented on MAPREDUCE-1017:
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+1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12422608/MAPREDUCE-1017.4.patch
against trunk revision 826767.
+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 passed contrib unit tests.
Test results:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/188/testReport/
Findbugs warnings:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/188/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Checkstyle results:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/188/artifact/trunk/build/test/checkstyle-errors.html
Console output:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/188/console
This message is automatically generated.
> Compression and output splitting for Sqoop
> ------------------------------------------
>
> Key: MAPREDUCE-1017
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-1017
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Components: contrib/sqoop
> Reporter: Aaron Kimball
> Assignee: Aaron Kimball
> Attachments: MAPREDUCE-1017.2.patch, MAPREDUCE-1017.3.patch,
> MAPREDUCE-1017.4.patch, MAPREDUCE-1017.patch
>
>
> Sqoop "direct mode" writing will generate a single large text file in HDFS.
> It is important to be able to compress this data before it reaches HDFS. Due
> to the difficulty in splitting compressed files in HDFS for use by MapReduce
> jobs, data should also be split at compression time.
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