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

2022-04-27 Thread Wenchen Fan (Jira) 


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

Wenchen Fan reassigned SPARK-38997:
---

Assignee: jiaan.geng

> 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: 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" < 1.00) THEN "SALARY" 
> ELSE 0.00 END AS key, SUM("SALARY") FROM "test"."employee"   GROUP BY key



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

2022-04-22 Thread Apache Spark (Jira) 


 [ 
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" < 1.00) THEN "SALARY" 
> ELSE 0.00 END AS key, SUM("SALARY") FROM "test"."employee"   GROUP BY key



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

2022-04-22 Thread Apache Spark (Jira) 


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

Apache Spark reassigned SPARK-38997:


Assignee: (was: 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
>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" < 1.00) THEN "SALARY" 
> ELSE 0.00 END AS key, SUM("SALARY") FROM "test"."employee"   GROUP BY key



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