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https://issues.apache.org/jira/browse/SPARK-45373?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17770220#comment-17770220
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Asif commented on SPARK-45373:
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Will be generating a PR for this.
> Minimizing calls to HiveMetaStore layer for getting partitions, when tables
> are repeated
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-45373
> URL: https://issues.apache.org/jira/browse/SPARK-45373
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.5.1
> Reporter: Asif
> Priority: Minor
> Fix For: 3.5.1
>
>
> In the rule PruneFileSourcePartitions where the CatalogFileIndex gets
> converted to InMemoryFileIndex, the HMS calls can get very expensive if :
> 1) The translated filter string for push down to HMS layer becomes empty ,
> resulting in fetching of all partitions and same table is referenced multiple
> times in the query.
> 2) Or just in case same table is referenced multiple times in the query with
> different partition filters.
> In such cases current code would result in multiple calls to HMS layer.
> This can be avoided by grouping the tables based on CatalogFileIndex and
> passing a common minimum filter ( filter1 || filter2) and getting a base
> PrunedInmemoryFileIndex which can become a basis for each of the specific
> table.
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