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https://issues.apache.org/jira/browse/SPARK-38155?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-38155.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 35469
[https://github.com/apache/spark/pull/35469]
> Disallow distinct aggregate in lateral subqueries with unsupported correlated
> predicates
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-38155
> URL: https://issues.apache.org/jira/browse/SPARK-38155
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Allison Wang
> Assignee: Allison Wang
> Priority: Major
> Fix For: 3.3.0
>
>
> Block lateral subqueries in CheckAnalysis that contain DISTINCT aggregate and
> correlated non-equality predicates. This can lead to incorrect results as
> DISTINCT will be rewritten as Aggregate during the optimization phase.
> For example
> {code:java}
> CREATE VIEW t1(c1, c2) AS VALUES (0, 1)
> CREATE VIEW t2(c1, c2) AS VALUES (1, 2), (2, 2)
> SELECT * FROM t1 JOIN LATERAL (SELECT DISTINCT c2 FROM t2 WHERE c1 > t1.c1)
> {code}
> The correct results should be (0, 1, 2) but currently, it gives be[(0, 1,
> 2), (0, 1, 2)].
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