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