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https://issues.apache.org/jira/browse/SPARK-33303?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17223675#comment-17223675
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Apache Spark commented on SPARK-33303:
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User 'peter-toth' has created a pull request for this issue:
https://github.com/apache/spark/pull/30203
> Deduplicate deterministic UDF calls
> -----------------------------------
>
> Key: SPARK-33303
> URL: https://issues.apache.org/jira/browse/SPARK-33303
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Peter Toth
> Priority: Major
>
> We run into an issue where a customer created a column with an expensive UDF
> call and build a very complex logic on the the top of that column as new
> derived columns. Due to `CollapseProject` and `ExtractPythonUDFs` rules the
> UDF is called ~1000 times for each row which degraded the performance of the
> query significantly.
> The `ExtractPythonUDFs` rule could deduplicate deterministic UDFs so as to
> avoid performance degradation.
>
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