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From "Fabian Hueske (JIRA)" <j...@apache.org>
Subject [jira] [Closed] (FLINK-6200) Add event time OVER RANGE BETWEEN UNBOUNDED PRECEDING aggregation to SQL
Date Thu, 30 Mar 2017 22:09:41 GMT

     [ https://issues.apache.org/jira/browse/FLINK-6200?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Fabian Hueske closed FLINK-6200.
--------------------------------
       Resolution: Implemented
    Fix Version/s: 1.3.0

Implemented with 44f9c76a9ff50e95947c9f78a86b485f564e3796

Thanks for the contribution [~Yuhong_kyo]!

> Add event time OVER RANGE BETWEEN UNBOUNDED PRECEDING aggregation to SQL
> ------------------------------------------------------------------------
>
>                 Key: FLINK-6200
>                 URL: https://issues.apache.org/jira/browse/FLINK-6200
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API & SQL
>            Reporter: sunjincheng
>            Assignee: hongyuhong
>             Fix For: 1.3.0
>
>
> The goal of this issue is to add support for OVER RANGE aggregations on event time streams
to the SQL interface.
> Queries similar to the following should be supported:
> SELECT 
>   a, 
>   SUM(b) OVER (PARTITION BY c ORDER BY rowTime() RANGE BETWEEN UNBOUNDED PRECEDING AND
CURRENT ROW) AS sumB,
>   MIN(b) OVER (PARTITION BY c ORDER BY rowTime() RANGE BETWEEN UNBOUNDED PRECEDING AND
CURRENT ROW) AS minB
> FROM myStream
> The following restrictions should initially apply:
> All OVER clauses in the same SELECT clause must be exactly the same.
> The PARTITION BY clause is optional (no partitioning results in single threaded execution).
> The ORDER BY clause may only have rowTime() as parameter. rowTime() is a parameterless
scalar function that just indicates processing time mode.
> bounded PRECEDING is not supported (see FLINK-5655)
> FOLLOWING is not supported.
> The restrictions will be resolved in follow up issues. If we find that some of the restrictions
are trivial to address, we can add the functionality in this issue as well.
> This issue includes:
> Design of the DataStream operator to compute OVER ROW aggregates
> Translation from Calcite's RelNode representation (LogicalProject with RexOver expression).



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