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https://issues.apache.org/jira/browse/FLINK-5804?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15899321#comment-15899321
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Fabian Hueske commented on FLINK-5804:
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I think the process function should also run with parallelism 1.
What's the purpose of the map function? Couldn't the logic be merged into the
process function?
Thanks, Fabian
> Add [non-partitioned] processing time OVER RANGE BETWEEN UNBOUNDED PRECEDING
> aggregation to SQL
> -----------------------------------------------------------------------------------------------
>
> Key: FLINK-5804
> URL: https://issues.apache.org/jira/browse/FLINK-5804
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: sunjincheng
> 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 (ORDER BY procTime() RANGE BETWEEN UNBOUNDED PRECEDING AND
> CURRENT ROW) AS sumB,
> MIN(b) OVER (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.
> - Since no PARTITION BY clause is specified, the execution will be single
> threaded.
> - 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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