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https://issues.apache.org/jira/browse/SPARK-49881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-49881:
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Target Version/s: (was: 4.1.0)
> SPIP : Improving analyzer performance by skipping DeduplicateRelations rule
> conditionally
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-49881
> URL: https://issues.apache.org/jira/browse/SPARK-49881
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.5.3, 4.1.0, 4.0.0
> Reporter: Asif
> Priority: Major
> Labels: pull-request-available
>
> In many cases, it has been observed that DeduplicateRelations rule, though
> essential, but by its nature has impacted query analysis time to big extent
> especially when dealing with large query plans.
> It appears that in many situations we can guarantee that there would be no
> duplicate relations present and thus avoid applying the rule.
> Those situations are :
> 1) When dataframe api's like select/filter which operate on existing
> dataframe, are used.
>
> Also if we store the MultiInstanceRelations in the QueryExecution ,for a
> given plan, then we can make use of that information , while creating new
> dataframes where there is a possibility of duplicate relations ( like join,
> union, intersection etc).
> If two datasets being unioned/intersected/joined ..etc have no common
> MultiInstanceRelation , then it should be safe to assume that there is no
> possibility of duplicate relations , there by allowing skipping the Dedup rule
>
> Atleast that is the idea.
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