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https://issues.apache.org/jira/browse/HIVE-8913?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14242076#comment-14242076
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Chao commented on HIVE-8913:
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(cc [~jxiang]) Not sure - maybe we can try that.
The interesting thing is: the copying of IOContext is supposed to work only in
caching RDD case, but this test doesn't even have caching, so in
{{SparkMapRecordHandler}}, the input path should not be null in the first
place..
> Make SparkMapJoinResolver handle runtime skew join [Spark Branch]
> -----------------------------------------------------------------
>
> Key: HIVE-8913
> URL: https://issues.apache.org/jira/browse/HIVE-8913
> Project: Hive
> Issue Type: Improvement
> Components: Spark
> Reporter: Rui Li
> Assignee: Rui Li
> Attachments: HIVE-8913.1-spark.patch, HIVE-8913.2-spark.patch
>
>
> Sub-task of HIVE-8406.
> Now we have {{SparkMapJoinResolver}} in place. But at the moment, it doesn't
> handle the map join task created by upstream SkewJoinResolver, i.e. those
> wrapped in a ConditionalTask. We have to implement this part for runtime skew
> join to work on spark. To do so, we can borrow logic from {{MapJoinResolver}}.
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