Hi,

Thanks for the clarification Fabian - it is really useful. 
I agree that we should consolidate the module and avoid the need to further 
maintain 3 different "projects". It does make sense to see the current (I would 
call it)"Stream SQL" as a table with append semantics. However, one thing that 
should be clarified is what is the best way from the implementation point of 
view to keep the state of the table (if we can actually keep it - though the 
need is clear for supporting retraction). As the input is a stream and the 
table is append of course we run in the classical infinite issue that streams 
have. What should be the approach? 
Should we consider keeping the data in something like the statebackend now for 
windows, and then pushing them to the disk (e.g., like FSStateBackends). 
Perhaps with the disk we can at least enlarge the horizon of what we keep.
I will give some comments and some thoughts in the document about this.  


Dr. Radu Tudoran
Senior Research Engineer - Big Data Expert
IT R&D Division


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-----Original Message-----
From: Fabian Hueske [mailto:fhue...@gmail.com] 
Sent: Thursday, January 26, 2017 3:37 PM
To: dev@flink.apache.org
Subject: Re: Stream SQL and Dynamic tables

Hi Radu,

the idea is to have dynamic tables as the common ground for Table API and SQL.
I don't think it is a good idea to implement and maintain 3 different 
relational APIs with possibly varying semantics.

Actually, you can see the current status of the Table API / SQL on stream as a 
subset of the proposed semantics.
Right now, all streams are implicitly converted into Tables with APPEND 
semantics. The currently supported operations (selection, filter, union, group 
windows) return streams.
The only thing that would change for these operations would be the output mode 
to be retraction mode by default in order to be able to emit updated records 
(e.g., updated aggregates due to late records).

The document is not final and we can of course discuss the proposal.

Best, Fabian

2017-01-26 11:33 GMT+01:00 Radu Tudoran <radu.tudo...@huawei.com>:

> Hi all,
>
>
>
> I have a question with respect to the scope behind the initiative 
> behind relational queries on data streams:
>
> https://docs.google.com/document/d/1qVVt_16kdaZQ8RTfA_
> f4konQPW4tnl8THw6rzGUdaqU/edit#
>
>
>
> Is the approach of using dynamic tables intended to replace the 
> implementation and mechanisms build now in stream sql ? Or will the 
> two co-exist, be built one on top of the other?
>
>
>
> Also – is the document in the final form or can we still provide 
> feedback / ask questions?
>
>
>
> Thanks for the clarification (and sorry if I missed at some point the 
> discussion that might have clarified this)
>
>
>
> Dr. Radu Tudoran
>
> Senior Research Engineer - Big Data Expert
>
> IT R&D Division
>
>
>
> [image: cid:image007.jpg@01CD52EB.AD060EE0]
>
> HUAWEI TECHNOLOGIES Duesseldorf GmbH
>
> European Research Center
>
> Riesstrasse 25, 80992 München
>
>
>
> E-mail: *radu.tudo...@huawei.com <radu.tudo...@huawei.com>*
>
> Mobile: +49 15209084330 <+49%201520%209084330>
>
> Telephone: +49 891588344173 <+49%2089%201588344173>
>
>
>
> HUAWEI TECHNOLOGIES Duesseldorf GmbH
> Hansaallee 205, 40549 Düsseldorf, Germany, www.huawei.com Registered 
> Office: Düsseldorf, Register Court Düsseldorf, HRB 56063, Managing 
> Director: Bo PENG, Wanzhou MENG, Lifang CHEN Sitz der Gesellschaft: 
> Düsseldorf, Amtsgericht Düsseldorf, HRB 56063,
> Geschäftsführer: Bo PENG, Wanzhou MENG, Lifang CHEN
>
> This e-mail and its attachments contain confidential information from 
> HUAWEI, which is intended only for the person or entity whose address 
> is listed above. Any use of the information contained herein in any 
> way (including, but not limited to, total or partial disclosure, 
> reproduction, or dissemination) by persons other than the intended 
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> please notify the sender by phone or email immediately and delete it!
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