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https://issues.apache.org/jira/browse/HIVE-8054?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14135009#comment-14135009
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Lefty Leverenz commented on HIVE-8054:
--------------------------------------

This should be documented in wikidoc "Configuration Properties" when the Spark 
branch gets merged into trunk.  In the meantime, it could be documented in 
"Hive on Spark: Getting Started" as a note in the "Configuring Hive" section.

* [Hive on Spark: Getting Started -- Configuring Hive | 
https://cwiki.apache.org/confluence/display/Hive/Hive+on+Spark%3A+Getting+Started#HiveonSpark:GettingStarted-ConfiguringHive]
* [Configuration Properties -- hive.optimize.union.remove | 
https://cwiki.apache.org/confluence/display/Hive/Configuration+Properties#ConfigurationProperties-hive.optimize.union.remove]

> Disable hive.optimize.union.remove when hive.execution.engine=spark [Spark 
> Branch]
> ----------------------------------------------------------------------------------
>
>                 Key: HIVE-8054
>                 URL: https://issues.apache.org/jira/browse/HIVE-8054
>             Project: Hive
>          Issue Type: Improvement
>          Components: Spark
>            Reporter: Xuefu Zhang
>            Assignee: Na Yang
>              Labels: Spark-M1, TODOC-SPARK
>             Fix For: spark-branch
>
>         Attachments: HIVE-8054-spark.patch, HIVE-8054.2-spark.patch, 
> HIVE-8054.3-spark.patch
>
>
> Option hive.optimize.union.remove introduced in HIVE-3276 removes union 
> operators from the operator graph in certain cases as an optimization reduce 
> the number of MR jobs. While making sense in MR, this optimization is 
> actually harmful to an execution engine such as Spark, which natives supports 
> union without requiring additional jobs. This is because removing union 
> operator creates disjointed operator graphs, each graph generating a job, and 
> thus this optimization requires more jobs to run the query. Not to mention 
> the additional complexity handling linked FS descriptors.
> I propose that we disable such optimization when the execution engine is 
> Spark.



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