You'd preserve the order with a statically partitioned routing table using
consistent hashing as well.

On Wed, Jul 22, 2015 at 11:43 AM, Gabriel Volpe <[email protected]>
wrote:

> So, if this is the case, maybe Akka streams is not the solution to my
> problem. It's working well with actors. I just wanted to try it to see
> whether it fit better or not.
>
> Yes, as I explained before, I create actors dynamically depending on the
> incoming data. Using this approach I can preserve the order given the
> natural implementation of the actor's mailbox (queue).
>
> El martes, 21 de julio de 2015, 13:46:35 (UTC+1), Joe Edwards escribió:
>>
>> AFAIK there is currently no way of dynamically changing the size of the
>> pool. What you can do is assign a fixed number of 'slots' which get
>> dynamically turned off/on
>>
>> You could look at
>> https://github.com/akka/akka/blob/releasing-akka-stream-and-http-experimental-1.0/akka-http-core/src/main/scala/akka/http/impl/engine/client/PoolFlow.scala
>> to see how akka do it with their HTTP Connection Pool.
>>
>> Do you actually need it to be dynamically created? It would certainly be
>> more straightforward to have a fixed size pool that is materialized to
>> start with.
>>
>> On Tuesday, 21 July 2015 12:57:01 UTC+1, Gabriel Volpe wrote:
>>>
>>> Sounds to me like you want a pooled set of streams for processing your
>>>> events, with the restriction that events with the same ID must go into the
>>>> same stream?
>>>
>>>
>>> Yes, that's exactly what I wanna do because I need to preserve the order
>>> of the events with the same ID.
>>>
>>>
>>>> If that's the case, a FlexiRoute with a fixed set of downstreams should
>>>> do the job. Then all you need is a way of consistently selecting a
>>>> downstream based on event ID (e.g. hashcode modulo n) - this will be more
>>>> extensible than storing a map with every event ID you encounter.
>>>>
>>>
>>> I will take a look to FlexiRoute. Can I create downstreams dinamically
>>> with this solution? That's what I'm doing with actors. If it is the first
>>> time I received the ID 1234, then I create an actor for this event.
>>> Otherwise I just send the event to the correspondent actor.
>>>
>>> Thanks for your time!
>>> Gabriel.
>>>
>>>
>>>>
>>>> On Monday, 20 July 2015 16:03:10 UTC+1, Gabriel Volpe wrote:
>>>>>
>>>>> I don't understand how the FlexiRoute could be the solution. Could you
>>>>> expand the case further?
>>>>>
>>>>> Actually, I'm solving the problem using only Akka Actors and it's
>>>>> quite easy. I have a Controller Actor which has a Map[Long, ActorRef]
>>>>> corresponding to the Event ID and the Processor Actor (child).
>>>>>
>>>>> Whenever the Controller receives an event, it checks if the ID already
>>>>> exists in the map and it sends a message to the Processor. If the ID does
>>>>> not exists, it creates another processor actor only for this Event ID. The
>>>>> only problem with this approach is that I have to control the 
>>>>> back-pressure
>>>>> manually, that's why I'm trying Akka Streams.
>>>>>
>>>>> Thanks,
>>>>> Gabriel.
>>>>>
>>>>> El lunes, 20 de julio de 2015, 14:51:35 (UTC+1), Konrad Malawski
>>>>> escribió:
>>>>>>
>>>>>> I think you might want to use a FlexiRoute
>>>>>> http://doc.akka.io/docs/akka-stream-and-http-experimental/1.0/scala/stream-customize.html#Using_FlexiRoute
>>>>>> And in it you'd decide "which way the element should go".
>>>>>> You'd have 2 outputs from it, one being the async path, and the other
>>>>>> one the other path.
>>>>>> After done with the event (via one of these Flows), you'd add a Merge
>>>>>> at the end of them and thus be able to still consume it using one sink.
>>>>>>
>>>>>> Maybe I missed something in your requirements?
>>>>>>
>>>>>> On Fri, Jul 17, 2015 at 4:57 PM, Gabriel Volpe <[email protected]>
>>>>>> wrote:
>>>>>>
>>>>>>> Hi all, this is my case:
>>>>>>>
>>>>>>> I have a queue (Rabbit MQ) producing Json data with the following
>>>>>>> format:
>>>>>>>
>>>>>>> { "id": 123, "message": "hello" }
>>>>>>> { "id": 876, "message": "shutdown" }
>>>>>>> { "id": 123, "message": "bye" }
>>>>>>>
>>>>>>> And I have a respective Consumer. What I want to do is to distribute
>>>>>>> the load depending on the *id* field. I mean, if the id already
>>>>>>> appeared before I want to respect the order, if not I want to process 
>>>>>>> the
>>>>>>> event in parallel. This would be the Flow:
>>>>>>>
>>>>>>> case class Event(id: Long, message: String)
>>>>>>>
>>>>>>> val queue = Source(rabbitQueueConnection).mapAsync(100)(d => Future(
>>>>>>> fromJson(d.message.body.utf8String)))
>>>>>>> val processor = Flow[Try[Option[Event]]] filter (_.isSuccess) map (_
>>>>>>> .get) filter (_.isDefined) map (_.get)
>>>>>>> val out = Sink.ignore
>>>>>>>
>>>>>>> queue ~> processor ~> out
>>>>>>>
>>>>>>> I've been playing around
>>>>>>> <https://github.com/gvolpe/events-processor-prototype/blob/master/src/main/scala/com/gvolpe/prototypes/processor/flows/ConsumerProcessorFlow.scala>
>>>>>>> but I don't know how to do this.
>>>>>>>
>>>>>>> Any ideas?
>>>>>>>
>>>>>>> Thanks,
>>>>>>> Gabriel.
>>>>>>>
>>>>>>> --
>>>>>>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>>>>>>> >>>>>>>>>> Check the FAQ:
>>>>>>> http://doc.akka.io/docs/akka/current/additional/faq.html
>>>>>>> >>>>>>>>>> Search the archives:
>>>>>>> https://groups.google.com/group/akka-user
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>>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> Cheers,
>>>>>> Konrad 'ktoso' Malawski
>>>>>> Akka <http://akka.io/> @ Typesafe <http://typesafe.com/>
>>>>>>
>>>>>  --
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-- 
Cheers,
√

-- 
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>>>>>>>>>>      Check the FAQ: 
>>>>>>>>>> http://doc.akka.io/docs/akka/current/additional/faq.html
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