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https://issues.apache.org/jira/browse/SPARK-33303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Peter Toth updated SPARK-33303:
-------------------------------
    Summary: Deduplicate deterministic PythonUDF calls  (was: Deduplicate 
deterministic UDF calls)

> Deduplicate deterministic PythonUDF 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
>            Assignee: Apache Spark
>            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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