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https://issues.apache.org/jira/browse/SPARK-23304?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16349147#comment-16349147
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Sameer Agarwal commented on SPARK-23304:
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[~tgraves] just to rule out the obvious, was there a difference in the number
of partitions in {{spark.sql("SELECT COUNT(DISTINCT(something)) FROM sometable
WHERE dt >= '20170301' AND dt <= '20170331' AND something IS NOT NULL")}} in
Spark 2.2 and 2.3?
> Spark SQL coalesce() against hive not working
> ---------------------------------------------
>
> Key: SPARK-23304
> URL: https://issues.apache.org/jira/browse/SPARK-23304
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Thomas Graves
> Assignee: Xiao Li
> Priority: Blocker
>
> Testing with spark 2.3 and I see a difference in the sql coalesce talking to
> hive vs spark 2.2. It seems spark 2.3 ignores the coalesce.
>
> Query:
> spark.sql("SELECT COUNT(DISTINCT(something)) FROM sometable WHERE dt >=
> '20170301' AND dt <= '20170331' AND something IS NOT
> NULL").coalesce(160000).show()
>
> in spark 2.2 the coalesce works here, but in spark 2.3, it doesn't.
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