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Posted to issues@spark.apache.org by "Yin Huai (JIRA)" <ji...@apache.org> on 2015/05/27 21:05:17 UTC
[jira] [Updated] (SPARK-4852) Hive query plan deserialization
failure caused by shaded hive-exec jar file when generating golden answers
[ https://issues.apache.org/jira/browse/SPARK-4852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yin Huai updated SPARK-4852:
----------------------------
Target Version/s: (was: 1.4.0)
> 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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