[jira] [Commented] (SPARK-33760) Extend Dynamic Partition Pruning Support to DataSources

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

    [ https://issues.apache.org/jira/browse/SPARK-33760?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17584882#comment-17584882 ] 

Willi Raschkowski commented on SPARK-33760:
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Is this related to SPARK-35779?

> Extend Dynamic Partition Pruning Support to DataSources
> -------------------------------------------------------
>
>                 Key: SPARK-33760
>                 URL: https://issues.apache.org/jira/browse/SPARK-33760
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.0.1
>            Reporter: Anoop Johnson
>            Priority: Major
>
> The implementation of Dynamic Partition Pruning  (DPP) in Spark is [specific|https://github.com/apache/spark/blob/fb2e3af4b5d92398d57e61b766466cc7efd9d7cb/sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/PartitionPruning.scala#L59-L64] to HadoopFSRelation. As a result, DPP is not triggered for queries that use data sources. 
> The DataSource v2 readers can expose the partition metadata. Can we use this metadata and extend DPP to work on data sources as well?
> Would appreciate thoughts or corner cases we need to handle.



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