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Posted to issues@spark.apache.org by "Peter Toth (Jira)" <ji...@apache.org> on 2020/10/31 11:29:00 UTC
[jira] [Updated] (SPARK-33303) Deduplicate deterministic PythonUDF
calls
[ https://issues.apache.org/jira/browse/SPARK-33303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
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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