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https://issues.apache.org/jira/browse/SPARK-59595?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-59595:
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Labels: pull-request-available (was: )
> Data source expression normalization scales poorly for wide schemas
> -------------------------------------------------------------------
>
> Key: SPARK-59595
> URL: https://issues.apache.org/jira/browse/SPARK-59595
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 4.2.0
> Reporter: Ben Hollis
> Priority: Minor
> Labels: pull-request-available
>
> DataSourceStrategy.normalizeExprs searches the relation output for every
> attribute reference being normalized. Its runtime is proportional to the
> number of output attributes multiplied by the number of references. This
> causes substantial planning overhead for wide schemas and projections. A
> local benchmark with 10,000 attributes and 10,000 references took
> approximately 876 ms per call. The method may also be called several times
> per scan during optimization and physical planning.
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