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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/10/30 14:18:00 UTC
[jira] [Assigned] (SPARK-33303) Deduplicate deterministic UDF calls
[ https://issues.apache.org/jira/browse/SPARK-33303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-33303:
------------------------------------
Assignee: Apache Spark
> 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
> 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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