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https://issues.apache.org/jira/browse/SPARK-9593?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-9593.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 7929
[https://github.com/apache/spark/pull/7929]
> Hive ShimLoader loads wrong Hadoop shims when Spark is compiled against
> Hadoop 2.0.0-mr1-cdh4.1.1
> -------------------------------------------------------------------------------------------------
>
> Key: SPARK-9593
> URL: https://issues.apache.org/jira/browse/SPARK-9593
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Cheng Lian
> Assignee: Cheng Lian
> Priority: Blocker
> Fix For: 1.5.0
>
>
> Internally, Hive {{ShimLoader}} tries to load different versions of Hadoop
> shims by checking version information gathered from Hadoop jar files. If the
> major version number is 1, {{Hadoop20SShims}} will be loaded. Otherwise, if
> the major version number is 2, {{Hadoop23Shims}} will be chosen. However,
> CDH Hadoop versions like 2.0.0-mr1-cdh4.1.1 have 2 as major version number,
> but contain Hadoop 1 code. This confuses Hive {{ShimLoader}} and loads wrong
> version of shims.
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