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https://issues.apache.org/jira/browse/SPARK-23304?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Graves updated SPARK-23304:
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Description:
The query below seems to ignore the coalesce. This is running spark 2.2 or
spark 2.3 against hive, which is reading orc:
Query:
spark.sql("SELECT COUNT(DISTINCT(something)) FROM sometable WHERE dt >=
'20170301' AND dt <= '20170331' AND something IS NOT
NULL").coalesce(160000).show()
was:
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.
> 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: Major
>
> The query below seems to ignore the coalesce. This is running spark 2.2 or
> spark 2.3 against hive, which is reading orc:
>
> Query:
> spark.sql("SELECT COUNT(DISTINCT(something)) FROM sometable WHERE dt >=
> '20170301' AND dt <= '20170331' AND something IS NOT
> NULL").coalesce(160000).show()
>
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