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https://issues.apache.org/jira/browse/PIG-1249?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12875551#action_12875551
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Hadoop QA commented on PIG-1249:
--------------------------------
-1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12446173/PIG-1249-4.patch
against trunk revision 951229.
+1 @author. The patch does not contain any @author tags.
+1 tests included. The patch appears to include 5 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 failed core unit tests.
+1 contrib tests. The patch passed contrib unit tests.
Test results:
http://hudson.zones.apache.org/hudson/job/Pig-Patch-h7.grid.sp2.yahoo.net/329/testReport/
Findbugs warnings:
http://hudson.zones.apache.org/hudson/job/Pig-Patch-h7.grid.sp2.yahoo.net/329/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Console output:
http://hudson.zones.apache.org/hudson/job/Pig-Patch-h7.grid.sp2.yahoo.net/329/console
This message is automatically generated.
> Safe-guards against misconfigured Pig scripts without PARALLEL keyword
> ----------------------------------------------------------------------
>
> Key: PIG-1249
> URL: https://issues.apache.org/jira/browse/PIG-1249
> Project: Pig
> Issue Type: Improvement
> Affects Versions: 0.8.0
> Reporter: Arun C Murthy
> Assignee: Jeff Zhang
> Priority: Critical
> Fix For: 0.8.0
>
> Attachments: PIG-1249-4.patch, PIG-1249.patch, PIG_1249_2.patch,
> PIG_1249_3.patch
>
>
> It would be *very* useful for Pig to have safe-guards against naive scripts
> which process a *lot* of data without the use of PARALLEL keyword.
> We've seen a fair number of instances where naive users process huge
> data-sets (>10TB) with badly mis-configured #reduces e.g. 1 reduce.
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