You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2018/02/01 18:54:00 UTC
[jira] [Updated] (SPARK-23304) Spark SQL coalesce() against hive
not working
[ https://issues.apache.org/jira/browse/SPARK-23304?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li updated SPARK-23304:
----------------------------
Target Version/s: 2.3.0
> 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
> 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org