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https://issues.apache.org/jira/browse/SPARK-4852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14561518#comment-14561518
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Yin Huai commented on SPARK-4852:
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[~lian cheng] What is the plan for this? Update kryo or ask developer to
manually copy kryo 2.21 jar (per instruction in
https://github.com/apache/spark/tree/master/sql)?
> Hive query plan deserialization failure caused by shaded hive-exec jar file
> when generating golden answers
> ----------------------------------------------------------------------------------------------------------
>
> Key: SPARK-4852
> URL: https://issues.apache.org/jira/browse/SPARK-4852
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.2.0
> Reporter: Cheng Lian
> Priority: Minor
>
> When adding Hive 0.13.1 support for Spark SQL Thrift server in PR
> [2685|https://github.com/apache/spark/pull/2685], Kryo 2.22 used by original
> hive-exec-0.13.1.jar was shaded by Kryo 2.21 used by Spark SQL because of
> dependency hell. Unfortunately, Kryo 2.21 has a known bug that may cause Hive
> query plan deserialization failure. This bug was fixed in Kryo 2.22.
> Normally, this issue doesn't affect Spark SQL because we don't even generate
> Hive query plan. But when running Hive test suites like
> {{HiveCompatibilitySuite}}, golden answer files must be generated by Hive,
> and thus triggers this issue. A workaround is to replace
> {{hive-exec-0.13.1.jar}} under {{$HIVE_HOME/lib}} with Spark's
> {{hive-exec-0.13.1a.jar}} and {{kryo-2.21.jar}} under
> {{$SPARK_DEV_HOME/lib_managed/jars}}. Then add {{$HIVE_HOME/lib}} to
> {{$HADOOP_CLASSPATH}}.
> Upgrading to some newer version of Kryo which is binary compatible with Kryo
> 2.22 (if there is one) may fix this issue.
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