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https://issues.apache.org/jira/browse/FLINK-5653?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15926128#comment-15926128
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ASF GitHub Bot commented on FLINK-5653:
---------------------------------------
GitHub user huawei-flink opened a pull request:
https://github.com/apache/flink/pull/3547
[FLINK-5653] Add processing time OVER ROWS BETWEEN x PRECEDING aggregation
to SQL
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You can merge this pull request into a Git repository by running:
$ git pull https://github.com/huawei-flink/flink FLINK-5653b
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/3547.patch
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This closes #3547
----
commit 0e33399e145154b2dd68e0539b65a1baaba512bd
Author: Stefano Bortoli <[email protected]>
Date: 2017-03-15T12:25:54Z
First implementation of aggregation over procTime row bounded window
commit 77a7eff006a1a4aaec2f785994a716bcd9c84133
Author: Stefano Bortoli <[email protected]>
Date: 2017-03-15T12:25:54Z
First implementation of aggregation over procTime row bounded window
commit ecec5527b454ae9c1c3b037103b98660729d8958
Author: Stefano Bortoli <[email protected]>
Date: 2017-03-15T13:03:13Z
Merge branch 'master' of https://github.com/huawei-flink/flink into
FLINK-5653b
# Conflicts:
#
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamOverAggregate.scala
#
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/aggregate/AggregateUtil.scala
----
> Add processing time OVER ROWS BETWEEN x PRECEDING aggregation to SQL
> --------------------------------------------------------------------
>
> Key: FLINK-5653
> URL: https://issues.apache.org/jira/browse/FLINK-5653
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Fabian Hueske
> Assignee: Stefano Bortoli
>
> The goal of this issue is to add support for OVER ROWS 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() ROWS BETWEEN 2 PRECEDING
> AND CURRENT ROW) AS sumB,
> MIN(b) OVER (PARTITION BY c ORDER BY procTime() ROWS BETWEEN 2 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.
> - UNBOUNDED PRECEDING is not supported (see FLINK-5656)
> - 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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