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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/04/22 11:58:00 UTC

[jira] [Assigned] (SPARK-38997) DS V2 aggregate push-down supports group by expressions

     [ https://issues.apache.org/jira/browse/SPARK-38997?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-38997:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>            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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