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https://issues.apache.org/jira/browse/MAPREDUCE-3952?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13222812#comment-13222812
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Hudson commented on MAPREDUCE-3952:
-----------------------------------
Integrated in Hadoop-Hdfs-trunk-Commit #1912 (See
[https://builds.apache.org/job/Hadoop-Hdfs-trunk-Commit/1912/])
MAPREDUCE-3952. In MR2, when Total input paths to process == 1,
CombinefileInputFormat.getSplits() returns 0 split. (zhenxiao via tucu)
(Revision 1297293)
Result = SUCCESS
tucu : http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1297293
Files :
* /hadoop/common/trunk/hadoop-mapreduce-project/CHANGES.txt
*
/hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/lib/input/CombineFileInputFormat.java
*
/hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/mapreduce/lib/input/TestCombineFileInputFormat.java
> 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
> Affects Versions: 0.24.0, 0.23.3
> Reporter: Zhenxiao Luo
> Assignee: Bhallamudi Venkata Siva Kamesh
> Fix For: 0.23.3
>
> 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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