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Hadoop QA commented on PIG-1511: -------------------------------- -1 overall. Here are the results of testing the latest attachment http://issues.apache.org/jira/secure/attachment/12450112/pig-1511.diff against trunk revision 979362. +1 @author. The patch does not contain any @author tags. -1 tests included. The patch doesn't appear to include any new or modified tests. Please justify why no tests are needed for this patch. +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 failed core unit tests. -1 contrib tests. The patch failed contrib unit tests. Test results: http://hudson.zones.apache.org/hudson/job/Pig-Patch-h8.grid.sp2.yahoo.net/354/testReport/ Findbugs warnings: http://hudson.zones.apache.org/hudson/job/Pig-Patch-h8.grid.sp2.yahoo.net/354/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html Console output: http://hudson.zones.apache.org/hudson/job/Pig-Patch-h8.grid.sp2.yahoo.net/354/console This message is automatically generated. > Pig removes packages from its own jar when building the JAR to ship to Hadoop > ----------------------------------------------------------------------------- > > Key: PIG-1511 > URL: https://issues.apache.org/jira/browse/PIG-1511 > Project: Pig > Issue Type: Bug > Affects Versions: 0.7.0 > Reporter: Eric Tschetter > Attachments: pig-1511.diff > > > Pig generates a new jar file to ship over to Hadoop. Pig has a couple of > packages whitelisted that it includes from its own jar. Pig throws away > everything else. > I package all of my dependencies into a single jar file. Pig is included in > this jar file. I do it this way because my code needs to run reliably and > reproducibly in production. Pig throws away all of my dependencies. > I don't know what the performance gain is of shaving ~5MB off of a jar that > is pushed to a job tracker once and then used to run over 100s of GB of data. > The overhead is minimal on my cluster. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.