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https://issues.apache.org/jira/browse/SPARK-38185?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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XiDuo You updated SPARK-38185:
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Description:
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}
was:
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}
spark.range(2).where("id > 2").agg(emptyAgg).limit(1).count
{code}
> Fix data incorrect if aggregate is group only with empty function
> -----------------------------------------------------------------
>
> 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
>
> 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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