[jira] [Commented] (SPARK-38997) DS V2 aggregate push-down supports group by expressions
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https://issues.apache.org/jira/browse/SPARK-38997?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17550442#comment-17550442
]
Apache Spark commented on SPARK-38997:
--
User 'beliefer' has created a pull request for this issue:
https://github.com/apache/spark/pull/36776
> 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
> Fix For: 3.3.0
>
>
> 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] [Commented] (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:comment-tabpanel=17550443#comment-17550443
]
Apache Spark commented on SPARK-38997:
--
User 'beliefer' has created a pull request for this issue:
https://github.com/apache/spark/pull/36776
> 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
> Fix For: 3.3.0
>
>
> 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] [Commented] (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:comment-tabpanel=17526359#comment-17526359
]
Apache Spark commented on SPARK-38997:
--
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" < 1.00) THEN "SALARY"
> ELSE 0.00 END AS key, SUM("SALARY") FROM "test"."employee" GROUP BY key
--
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[jira] [Commented] (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:comment-tabpanel=17526357#comment-17526357
]
Apache Spark commented on SPARK-38997:
--
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" < 1.00) THEN "SALARY"
> ELSE 0.00 END AS key, SUM("SALARY") FROM "test"."employee" GROUP BY key
--
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