Sorry, I forgot to cc you guys @Fabian, @Timo, @Till, @Kostas

2017-06-07 15:42 GMT+08:00 Jark Wu <j...@apache.org>:

> Hi devs,
>
> Dian and me and our teammates have investigated this for a long time. We
> think consolidating Flink SQL and CEP is an exciting thing for Flink. It'll
> make SQL more powerful and give users the ability to easily and quickly
> build CEP applications.  And I find Flink community has also talked about
> this idea before, such as the mailing list [1] and [2] and Fabian & Till's
> talk in Flink Forward 2016 [3].
>
> I think THIS IS THE POINT to bring up this topic again. Because we already
> have pattern matching foundation in Flink CEP library, and Stream SQL is
> ready now and Calcite has partially supported pattern matching syntax!  We
> also drafted a design doc about how to integrate SQL and CEP, and how to
> support CEP on Table API. https://docs.google.com/document/d/
> 1HaaO5eYI1VZjyhtVPZOi3jVzikU7iK15H0YbniTnN30/edit?usp=sharing
>
>
> @Fabian, @Timo, @Till, @Kostas I include you into this discussion, it
> would be great to hear your response.
>
>
> What do others think?
>
>
> [1] http://apache-flink-mailing-list-archive.1008284.n3.
> nabble.com/Add-CEP-library-to-Flink-td9743.html#a9787
>
> [2] http://apache-flink-mailing-list-archive.1008284.n3.
> nabble.com/Effort-to-add-SQL-StreamSQL-to-Flink-td9727.html#a9790
>
> [3] https://www.slideshare.net/tillrohrmann/streaming-
> analytics-cep-two-sides-of-the-same-coin
>
>
> Regards,
>
> Jark Wu
>
>
>
> 2017-06-07 13:50 GMT+08:00 Dian Fu <dia...@apache.org>:
>
>> Hi everyone,
>>
>> Flink's CEP library is a great library for complex event processing, more
>> and more customers are expressing their interests in it. But it also has
>> some limitations that users usually have to write a lot of code even for a
>> very simple pattern match use case as it currently only supports the Java
>> API.
>> We have investigated some popular CEP products such as esper [1] and
>> siddhi
>> [2] and found that most of these CEP products support SQL-like expressions
>> such as EPL to describe the match pattern. But these solutions also have
>> the drawbacks that the pattern match languages are not standard SQL, the
>> learn curve is steep for users and it's impossible to integrate them into
>> the Flink Table API & SQL.
>> We find that Oracle's CEP solution CQL [3] supports a new pattern
>> recognition clause match_recognize which is a pattern recognition clause
>> proposed in this paper [4]. It proposes a set of new syntaxes to define
>> match pattern in sql expression. Calcite already supports part of this
>> standard [5].  I think it will be of great value to support expressing
>> pattern recognition clause with match_recognize clause by integrating it
>> with Flink Table API & SQL and the Flink CEP library. Any thoughts?
>>
>> [1] http://www.espertech.com
>> [2] https://github.com/wso2/siddhi
>> [3]
>> https://docs.oracle.com/middleware/1213/eventprocessing/cql-
>> reference/GUID-34D4968E-C55A-4BC7-B1CE-C84B202217BD.htm#CQLLR1531
>> [4]
>> http://web.cs.ucla.edu/classes/winter17/cs240B/notes/row-
>> pattern-recogniton-11.pdf
>> [5] https://issues.apache.org/jira/browse/CALCITE-1570
>>
>> Best Regards,
>> Dian
>>
>
>

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