[jira] [Updated] (SPARK-45373) Minimizing calls to HiveMetaStore layer for getting partitions, when tables are repeated

["Asif (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-45373?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Asif updated SPARK-45373:
-------------------------
    Affects Version/s: 4.0.0
                           (was: 3.5.1)

> 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: 4.0.0
>            Reporter: Asif
>            Priority: Minor
>              Labels: pull-request-available
>             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.
> Opened following PR for ticket:
> [SPARK-45373-PR|https://github.com/apache/spark/pull/43183]



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