[jira] [Resolved] (SPARK-38185) Fix data incorrect if aggregate function is empty

["Wenchen Fan (Jira)" <ji...@apache.org>]

     [ 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}



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