Hi all,

I was thinking to open a JIRA for the procTime() function so that it could be 
merged before and others could use it as well. What do you think?

Regards,
Stefano


-----Original Message-----
From: Fabian Hueske [mailto:fhue...@gmail.com] 
Sent: Friday, January 27, 2017 10:34 AM
To: dev@flink.apache.org
Subject: Re: [jira] [Created] (FLINK-5656) Add processing time OVER ROWS 
BETWEEN UNBOUNDED PRECEDING aggregation to SQL

Hi Stefano,

I can assign the issue to you if you want to.
Just drop a comment in JIRA.

Best, Fabian

2017-01-27 9:39 GMT+01:00 Stefano Bortoli <stefano.bort...@huawei.com>:

> Hi Fabian,
>
> In the next days I will start working on this issue. As soon as I have 
> a proposal I will start sharing it for discussion.
>
> Regards,
> Dr. Stefano Bortoli
> Senior Research Engineer - Big Data and Semantic Technology Expert IT 
> R&D Division
>
> -----Original Message-----
> From: Fabian Hueske (JIRA) [mailto:j...@apache.org]
> Sent: Thursday, January 26, 2017 2:49 PM
> To: dev@flink.apache.org
> Subject: [jira] [Created] (FLINK-5656) Add processing time OVER ROWS 
> BETWEEN UNBOUNDED PRECEDING aggregation to SQL
>
> Fabian Hueske created FLINK-5656:
> ------------------------------------
>
>              Summary: 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
>
>
> 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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