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https://issues.apache.org/jira/browse/SPARK-38997?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17526357#comment-17526357
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Apache Spark commented on SPARK-38997:
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User 'beliefer' has created a pull request for this issue:
https://github.com/apache/spark/pull/36325
> DS V2 aggregate push-down supports group by expressions
> -------------------------------------------------------
>
> Key: SPARK-38997
> URL: https://issues.apache.org/jira/browse/SPARK-38997
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: jiaan.geng
> Priority: Major
>
> Currently, Spark DS V2 aggregate push-down only supports group by column.
> But the SQL show below is very useful and common.
> SELECT CASE WHEN ("SALARY" > 8000.00) AND ("SALARY" < 10000.00) THEN "SALARY"
> ELSE 0.00 END AS key, SUM("SALARY") FROM "test"."employee" GROUP BY key
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