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https://issues.apache.org/jira/browse/SPARK-59710?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-59710:
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Labels: pull-request-available (was: )
> 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
> 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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