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https://issues.apache.org/jira/browse/HIVE-14029?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15583393#comment-15583393
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Sergio Peña commented on HIVE-14029:
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Interesting, so even between Spark 1.x versions, Hive wasn't compatible at all
with them? This is going to be a lot of work as you said. If Spark 2.1 isn't
compatible with Spark 2.0 for instance, then we will have a shim layer with
minor changes per Spark version to keep compatibility.
[~xuefuz] Were there users in the community complaining about Spark 1.x
incompatibilities with Hive in the past?
> 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: Incompatible, 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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