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https://issues.apache.org/jira/browse/FLINK-5658?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15877800#comment-15877800
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ASF GitHub Bot commented on FLINK-5658:
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GitHub user hongyuhong opened a pull request:
https://github.com/apache/flink/pull/3386
[FLINK-5658][table] support unbounded eventtime over window
1. Add LogicalOverWindow extends calcite Window with attribute isEventtime
2. Add LogicalWindowRule to convert calcite LogicalWindow to
LogicalOverWindow, and check whether isEventtime
3. Add DataStreamSlideEventTimeRowAgg relnode to do translateToPlan
-- partition: input.keyby().window(GlobalRowWindowAssigner).reduce
-- no partition: input.windowAll(GlobalRowWindowAssigner).reduce
4. Add DataStreamWindowRule to convert LogicalOverWindow to
DataStreamSlideEventTimeRowAgg
5. Add GlobalEventTimeRowWindowAssigner to support eventtime and row trigger
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/hongyuhong/flink flink-5658
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/3386.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #3386
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commit 68892b76c7097b04ad7ed1e42af3162bb2e7126c
Author: hongyuhong 00223286 <[email protected]>
Date: 2017-02-22T08:47:25Z
flink-5658 support unbounded eventtime over window
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> Add event time OVER RANGE BETWEEN UNBOUNDED PRECEDING aggregation to SQL
> ------------------------------------------------------------------------
>
> Key: FLINK-5658
> URL: https://issues.apache.org/jira/browse/FLINK-5658
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Fabian Hueske
> Assignee: Yuhong Hong
>
> 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:
> {code}
> 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
> {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 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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