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https://issues.apache.org/jira/browse/HIVE-14029?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15531017#comment-15531017
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Sahil Takiar commented on HIVE-14029:
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[~Ferd] can you also add an "Incompatible Change" Flag to this JIRA.
I'm guessing this should go into the Hive 2.2.0 release since its an
incompatible change, and I agree we should document this all on the wiki. I
don't know much about Spark 2, but will Hive-on-Spark2 be able to run against a
Spark1 cluster, or vice versa?
> Update Spark version to 2.0.0
> -----------------------------
>
> Key: HIVE-14029
> URL: https://issues.apache.org/jira/browse/HIVE-14029
> Project: Hive
> Issue Type: Bug
> Reporter: Ferdinand Xu
> Assignee: Ferdinand Xu
> Labels: TODOC2.2
> Fix For: 2.2.0
>
> Attachments: HIVE-14029.1.patch, HIVE-14029.2.patch,
> HIVE-14029.3.patch, HIVE-14029.4.patch, HIVE-14029.5.patch,
> HIVE-14029.6.patch, HIVE-14029.7.patch, HIVE-14029.8.patch, HIVE-14029.patch
>
>
> There are quite some new optimizations in Spark 2.0.0. We need to bump up
> Spark to 2.0.0 to benefit those performance improvements.
> To update Spark version to 2.0.0, the following changes are required:
> * Spark API updates:
> ** SparkShuffler#call return Iterator instead of Iterable
> ** SparkListener -> JavaSparkListener
> ** InputMetrics constructor doesn’t accept readMethod
> ** Method remoteBlocksFetched and localBlocksFetched in ShuffleReadMetrics
> return long type instead of integer
> * Dependency upgrade:
> ** Jackson: 2.4.2 -> 2.6.5
> ** Netty version: 4.0.23.Final -> 4.0.29.Final
> ** Scala binary version: 2.10 -> 2.11
> ** Scala version: 2.10.4 -> 2.11.8
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