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https://issues.apache.org/jira/browse/SPARK-57715?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-57715:
-----------------------------------
Labels: pull-request-available (was: )
> PIVOT count() incorrectly returns null for missing pivot categories
> -------------------------------------------------------------------
>
> Key: SPARK-57715
> URL: https://issues.apache.org/jira/browse/SPARK-57715
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 4.2.0
> Reporter: Milan Dankovic
> Priority: Major
> Labels: pull-request-available
>
> When PIVOT has no matching rows for a pivot category, count() incorrectly
> returns NULL. Other systems such as DuckDB and SQL Server return 0 instead.
> Note: this was found internally.
>
> {code:java}
> SELECT * FROM (
> VALUES (1, 'a', 10), (1, 'a', 20), (1, 'b', 30), (2, 'a', 40)
> ) AS t(id, cat, val)
> PIVOT (
> count(val) FOR cat IN ('a', 'b')
> )
> ORDER BY id {code}
> id = 2, column b = NULL
>
>
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