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https://issues.apache.org/jira/browse/SPARK-49352?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-49352:
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Affects Version/s: 3.4.3
3.5.2
3.3.4
> Avoid redundant array transform for identical expression
> --------------------------------------------------------
>
> Key: SPARK-49352
> URL: https://issues.apache.org/jira/browse/SPARK-49352
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 4.0.0, 3.3.4, 3.5.2, 3.4.3
> Reporter: L. C. Hsieh
> Assignee: L. C. Hsieh
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0, 3.5.3
>
>
> Our customer encounters significant performance regression when migrating
> from Spark 3.2 to Spark 3.4 on a `Insert Into` query which is analyzed as a
> `AppendData` on an Iceberg table.
> We found that the root cause is in Spark 3.4, `TableOutputResolver` resolves
> the query with additional `ArrayTransform` on an `ArrayType` field. The
> `ArrayTransform`'s lambda function is actually an identical function, i.e.,
> the transformation is redundant.
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