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https://issues.apache.org/jira/browse/FLINK-5657?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15855699#comment-15855699
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Fabian Hueske commented on FLINK-5657:
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Regarding the assignment of this issue:
Flink committers do not delegate or grant issues to contributors to work on.
Every contributor can choose on which issues to work on. However, it makes of
course sense to coordinate to avoid duplicate work and in the end there can be
only one implementation.
However, I'm of course happy to moderate the discussion.
IMO, it makes sense to consider the following points:
- how does the contributor plan to implement the feature (design document)
- when does the contributor expect to have a first version available (are some
parts already done)
- how many other issues are assigned to the contributor
[~sunjincheng121] and [~Yuhong_kyo], maybe you can share your current thoughts
on the design of this issue.
> Add processing time OVER RANGE BETWEEN UNBOUNDED PRECEDING aggregation to SQL
> -----------------------------------------------------------------------------
>
> Key: FLINK-5657
> URL: https://issues.apache.org/jira/browse/FLINK-5657
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Fabian Hueske
> Assignee: sunjincheng
>
> The goal of this issue is to add support for OVER RANGE aggregations on
> processing time streams to the SQL interface.
> Queries similar to the following should be supported:
> {code}
> SELECT
> a,
> SUM(b) OVER (PARTITION BY c ORDER BY procTime() RANGE BETWEEN UNBOUNDED
> PRECEDING AND CURRENT ROW) AS sumB,
> MIN(b) OVER (PARTITION BY c ORDER BY procTime() RANGE BETWEEN UNBOUNDED
> PRECEDING AND CURRENT ROW) AS minB
> FROM myStream
> {code}
> 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 procTime() as parameter. procTime() is a
> parameterless scalar function that just indicates processing time mode.
> - bounded PRECEDING is not supported (see FLINK-5654)
> - 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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