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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/02/09 18:54:00 UTC
[jira] [Commented] (SPARK-38155) Disallow distinct aggregate in lateral subqueries with unsupported correlated predicates
[ https://issues.apache.org/jira/browse/SPARK-38155?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17489747#comment-17489747 ]
Apache Spark commented on SPARK-38155:
--------------------------------------
User 'allisonwang-db' has created a pull request for this issue:
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
> Priority: Major
>
> 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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