Hi Konstantin, 

Thank you so much for your answer. Yes, I think this is exactly what I need.

Thank you.

Best,


Gabriele 

> On 18 Jul 2017, at 21:27, Konstantin Knauf <konstantin.kn...@tngtech.com> 
> wrote:
> 
> Hi Gabriele,
> 
> I think this is actually a quite common pattern. Generally, you can
> `join` the two streams and then use a `CoFlatMapFunction`. A
> `CoFlatMapFunction` allows you to keep shared (checkpointed) state
> between two streams. It has two callbacks `flatMap1` and `flatMap2`
> which are called whenever a record from the respective stream arrives.
> You can update a data structure (state), which holds the information on
> which information to apply to which kind of element, on each element of
> the control stream. On each element of the data stream you apply to
> correct transformation based on the current state of the operator.
> 
> Does this makes sense to you? If you share a little bit about the use
> case. In particular, it would be relevant if both streams share a common
> key, on which they can be partitioned.
> 
> Cheers,
> 
> Konstantin
> 
> On 18.07.2017 21:14, Gabriele Di Bernardo wrote:
>> Hello everyone,
>> 
>> I am a Flink newcomer and I would like to implement a Flink application with 
>> two Kafka sources: one for the data stream to be processed and the other one 
>> for control purposes. The application should be able to read from the 
>> control stream and then apply the control operation to the data coming from 
>> the data stream. To be more clear, I would like to have something like: if 
>> the application reads from the control source a control operation with 
>> identifier 22, then it should apply a certain transformation to all the 
>> incoming data values that are marked with id 22. 
>> 
>> I would like to ask you if having two Kafka sources (one for the data and 
>> another for control purposes) is actually a good practice. I’d like also to 
>> ask you if you have some advices or suggestions for me regarding how to keep 
>> a queue of such active control operations.
>> 
>> Thank you so much. 
>> 
>> Best,
>> 
>> 
>> Gabriele
>> 
> 
> -- 
> Konstantin Knauf * konstantin.kn...@tngtech.com * +49-174-3413182
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