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https://issues.apache.org/jira/browse/SPARK-26864?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-26864:
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Labels: correctness (was: )
> Query may return incorrect result when python udf is used as a join condition
> and the udf uses attributes from both legs of left semi join.
> -------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-26864
> URL: https://issues.apache.org/jira/browse/SPARK-26864
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Dilip Biswal
> Assignee: Dilip Biswal
> Priority: Major
> Labels: correctness
> Fix For: 2.4.1, 3.0.0
>
>
> In SPARK-25314, we supported the scenario of having a python UDF that refers
> to attributes from both legs of a join condition by rewriting
> the plan to convert an inner join or left semi join to a filter over a cross
> join. In case of left semi join, this transformation may
> cause incorrect results when the right leg of join condition produces
> duplicate rows based on the join condition.
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