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Posted to issues@spark.apache.org by "John Smith (Jira)" <ji...@apache.org> on 2025/05/15 12:32:00 UTC

[jira] [Updated] (SPARK-52160) Dynamic pruning not being used with broadcast hash join

     [ https://issues.apache.org/jira/browse/SPARK-52160?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

John Smith updated SPARK-52160:
-------------------------------
    Description: 
We have a hive partitioned dataset, partitioned on year, month, day. When doing a broadcast hash join with that table, with the partition keys as the join keys, dynamic partition pruning is not being used. It's reading all partitions. The query would be a lot faster with DPP. 

 

When filtering on year, month, and day (no join), Spark does read only the partitions that match the filter. 

 

Code: https://community.palantir.com/t/dynamic-partition-pruning-of-hive-partitioned-datasets-with-a-broadcast-join/3545

  was:
We have a hive partitioned dataset, partitioned on year, month, day. When doing a broadcast hash join with that table, with the partition keys as the join keys, dynamic partition pruning is not being used. It's reading all partitions. The query would be a lot faster with DPP. 

 

When filtering on year, month, and day (no join), Spark does read only the partitions that match the filter. 


> Dynamic pruning not being used with broadcast hash join
> -------------------------------------------------------
>
>                 Key: SPARK-52160
>                 URL: https://issues.apache.org/jira/browse/SPARK-52160
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 3.5.5
>            Reporter: John Smith
>            Priority: Major
>
> We have a hive partitioned dataset, partitioned on year, month, day. When doing a broadcast hash join with that table, with the partition keys as the join keys, dynamic partition pruning is not being used. It's reading all partitions. The query would be a lot faster with DPP. 
>  
> When filtering on year, month, and day (no join), Spark does read only the partitions that match the filter. 
>  
> Code: https://community.palantir.com/t/dynamic-partition-pruning-of-hive-partitioned-datasets-with-a-broadcast-join/3545



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