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https://issues.apache.org/jira/browse/MAPREDUCE-3952?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13222237#comment-13222237
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Hadoop QA commented on MAPREDUCE-3952:
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+1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12517052/MAPREDUCE-3952-1.patch
against trunk revision .
+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 eclipse:eclipse. The patch built with eclipse:eclipse.
+1 findbugs. The patch does not introduce any new Findbugs (version 1.3.9)
warnings.
+1 release audit. The applied patch does not increase the total number of
release audit warnings.
+1 core tests. The patch passed unit tests in .
+1 contrib tests. The patch passed contrib unit tests.
Test results:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/1997//testReport/
Console output:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/1997//console
This message is automatically generated.
> In MR2, when Total input paths to process == 1,
> CombinefileInputFormat.getSplits() returns 0 split.
> ---------------------------------------------------------------------------------------------------
>
> Key: MAPREDUCE-3952
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3952
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2
> Reporter: Zhenxiao Luo
> Attachments: MAPREDUCE-3952-1.patch, MAPREDUCE-3952.patch
>
>
> Hive get unexpected result when using MR2(When using MR1, always get expected
> result).
> In MR2, when Total input paths to process == 1,
> CombinefileInputFormat.getSplits() returns 0 split.
> The calling code in Hive, in Hadoop23Shims.java:
> InputSplit[] splits = super.getSplits(job, numSplits);
> this get splits.length == 0.
> In MR1, everything goes fine, the calling code in Hive, in Hadoop20Shims.java:
> CombineFileSplit[] splits = (CombineFileSplit[]) super.getSplits(job,
> numSplits);
> this get splits.length == 1.
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