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Hadoop QA commented on PIG-781: ------------------------------- -1 overall. Here are the results of testing the latest attachment http://issues.apache.org/jira/secure/attachment/12408116/partial_failure.patch against trunk revision 774582. +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 generated 226 javac compiler warnings (more than the trunk's current 225 warnings). -1 findbugs. The patch appears to introduce 1 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/Pig-Patch-minerva.apache.org/39/testReport/ Findbugs warnings: http://hudson.zones.apache.org/hudson/job/Pig-Patch-minerva.apache.org/39/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html Console output: http://hudson.zones.apache.org/hudson/job/Pig-Patch-minerva.apache.org/39/console This message is automatically generated. > Error reporting for failed MR jobs > ---------------------------------- > > Key: PIG-781 > URL: https://issues.apache.org/jira/browse/PIG-781 > Project: Pig > Issue Type: Improvement > Reporter: Gunther Hagleitner > Attachments: partial_failure.patch, partial_failure.patch, > partial_failure.patch > > > If we have multiple MR jobs to run and some of them fail the behavior of the > system is to not stop on the first failure but to keep going. That way jobs > that do not depend on the failed job might still succeed. > The question is to how best report this scenario to a user. How do we tell > which jobs failed and which didn't? > One way could be to tie jobs to stores and report which store locations won't > have data and which ones do. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.