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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2018/02/01 23:34:00 UTC
[jira] [Comment Edited] (SPARK-23304) Spark SQL coalesce() against
hive not working
[ https://issues.apache.org/jira/browse/SPARK-23304?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16349498#comment-16349498 ]
Dongjoon Hyun edited comment on SPARK-23304 at 2/1/18 11:33 PM:
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I updated the affected version according to the latest updates.
BTW, what about Parquet?
was (Author: dongjoon):
I updated the affected version according to the latest updates.
> 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: 2.2.1, 2.3.0
> Reporter: Thomas Graves
> Assignee: Xiao Li
> Priority: Major
> Attachments: spark22_oldorc_explain.txt, spark23_oldorc_explain.txt, spark23_oldorc_explain_convermetastoreorcfalse.txt
>
>
> 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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