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https://issues.apache.org/jira/browse/SPARK-40615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17611101#comment-17611101
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Apache Spark commented on SPARK-40615:
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User 'allisonwang-db' has created a pull request for this issue:
https://github.com/apache/spark/pull/38050
> Check unsupported data type when decorrelating subqueries
> ---------------------------------------------------------
>
> Key: SPARK-40615
> URL: https://issues.apache.org/jira/browse/SPARK-40615
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: Allison Wang
> Priority: Major
>
> Currently, we don't check if the join condition after subquery decorrelation
> is resolved or not. This can lead to confusing error messages to users. We
> should throw proper exceptions when one or more join conditions after
> decorrelation are not resolved.
> For example:
> {code:java}
> create temp view v1(x) as values from_json('{"a":1, "b":2}',
> 'map<string,int>') t(x)
> select (select a + a from (select upper(x['a']) as a)) from v1
> After applying rule
> org.apache.spark.sql.catalyst.optimizer.PullupCorrelatedPredicates in batch
> Pullup Correlated Expressions, the structural integrity of the plan is
> broken.{code}
>
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