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Posted to issues@flink.apache.org by "Kurt Young (JIRA)" <ji...@apache.org> on 2019/04/17 11:51:00 UTC

[jira] [Closed] (FLINK-12170) Add support for generating optimized logical plan for Over aggregate

     [ https://issues.apache.org/jira/browse/FLINK-12170?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Kurt Young closed FLINK-12170.
------------------------------
       Resolution: Fixed
    Fix Version/s: 1.9.0

fixed in e42f6b52cf43a1a3aaac37d3f8c66e647be63ece

> Add support for generating optimized logical plan for Over aggregate
> --------------------------------------------------------------------
>
>                 Key: FLINK-12170
>                 URL: https://issues.apache.org/jira/browse/FLINK-12170
>             Project: Flink
>          Issue Type: New Feature
>          Components: Table SQL / Planner
>            Reporter: godfrey he
>            Assignee: godfrey he
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.9.0
>
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> This issue aims to generate optimized plan for Over aggregate queries on both Batch and Stream, e.g. 
> {code:sql}
> SELECT a, b, c, RANK() OVER (PARTITION BY b ORDER BY c) FROM MyTable
> {code}
> currently, Stream requires all over aggregate functions must be computed on the  same window, e.g. 
> {code:sql}
> SELECT c,
>     COUNT(a) OVER (PARTITION BY c ORDER BY proctime RANGE UNBOUNDED PRECEDING),
>     SUM(a) OVER (PARTITION BY b ORDER BY proctime RANGE UNBOUNDED PRECEDING)
> from MyTable
> {code} 
> the above sql is not supported because the partition keys are different.
> Batch does not  have such limitation.



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