[jira] [Resolved] (SPARK-59710) Join pushdown of JDBC data source does not handle partitioning well

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

     [ https://issues.apache.org/jira/browse/SPARK-59710?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-59710.
----------------------------------
    Resolution: Fixed

Issue resolved by pull request 58958
[https://github.com/apache/spark/pull/58958]

> Join pushdown of JDBC data source does not handle partitioning well
> -------------------------------------------------------------------
>
>                 Key: SPARK-59710
>                 URL: https://issues.apache.org/jira/browse/SPARK-59710
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 4.1.3
>            Reporter: Uros Stankovic
>            Assignee: Uros Stankovic
>            Priority: Minor
>              Labels: pull-request-available
>             Fix For: 4.4.0
>
>
> When we use JDBC DSv2 join pushdown, I noticed two bugs:
> - When I specify partitioning options, query fails with error "Options query and partition_coumn can not be specified together". It is expected that query runs successfully even join and partitioning can't be supported that easily.
> - Partial aggregate pushdown optimizer rule can pushdown AVG to SUM/COUNT with multiple partitions, in that case, incorrect result is returned in some cases.



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