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https://issues.apache.org/jira/browse/FLINK-5656?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15877370#comment-15877370
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sunjincheng edited comment on FLINK-5656 at 2/22/17 3:08 AM:
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HI, [~fhueske] @ [~jark], IMO,In the case of `BETWEEN UNBOUNDED PRECEDING AND
CURRENT ROW`, ROWS and RANGE should have the same implementation, so I want to
merge this JIRA Into FLINK-5803. What do you think?
was (Author: sunjincheng121):
HI, [~fhueske] [~jack], IMO,In the case of `BETWEEN UNBOUNDED PRECEDING AND
CURRENT ROW`, ROWS and RANGE should have the same implementation, so I want to
merge this JIRA Into FLINK-5803. What do you think?
> Add processing time OVER ROWS BETWEEN UNBOUNDED PRECEDING aggregation to SQL
> ----------------------------------------------------------------------------
>
> Key: FLINK-5656
> URL: https://issues.apache.org/jira/browse/FLINK-5656
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Fabian Hueske
> Assignee: Jark Wu
>
> The goal of this issue is to add support for OVER ROW 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() ROW BETWEEN UNBOUNDED
> PRECEDING AND CURRENT ROW) AS sumB,
> MIN(b) OVER (PARTITION BY c ORDER BY procTime() ROW 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.
> - x PRECEDING is not supported (see FLINK-5653)
> - 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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