[
https://issues.apache.org/jira/browse/SPARK-38185?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wenchen Fan resolved SPARK-38185.
---------------------------------
Fix Version/s: 3.3.0
3.2.2
Resolution: Fixed
Issue resolved by pull request 35490
[https://github.com/apache/spark/pull/35490]
> Fix data incorrect if aggregate function is empty
> -------------------------------------------------
>
> Key: SPARK-38185
> URL: https://issues.apache.org/jira/browse/SPARK-38185
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.2.1, 3.3.0
> Reporter: XiDuo You
> Priority: Major
> Fix For: 3.3.0, 3.2.2
>
>
> The group only condition should check if the aggregate expression is empty.
> In DataFrame api, it is allowed to make a empty aggregations.
> So the following query should return 1 rather than 0 because it's a global
> aggregate.
> {code:java}
> val emptyAgg = Map.empty[String, String]
> spark.range(2).where("id > 2").agg(emptyAgg).limit(1).count
> {code}
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
