Thanks a lot!!
On Tuesday, 25 April 2017 18:39:58 UTC+7, Akka Team wrote:
>
> Partition allows you to look at a message and decide which of its outlets
> to pass the element to, this way you can design the logic of each sub
> stream independently. Something like this:
>
> val flow: Flow[Int, Int, NotUsed] = Flow.fromGraph(GraphDSL.create() {
> implicit builder =>
> import GraphDSL.Implicits._
>
> val partition = builder.add(Partition[Int](2, _ % 2))
> val merge = builder.add(Merge[Int](2))
>
> val processEven = builder.add(Flow.fromFunction((n: Int) => n + 100))
> val processOdd = builder.add(Flow.fromFunction((n: Int) => n - 1))
>
> partition.out(0) ~> processEven ~> merge.in(0)
> partition.out(1) ~> processOdd ~> merge.in(1)
>
> FlowShape(partition.in, merge.out)
> })
>
>
> --
> Johan
> Akka Team
>
> On Tue, Mar 21, 2017 at 1:18 PM, Vishal John <visha...@gmail.com
> <javascript:>> wrote:
>
>>
>> Hello all,
>>
>>
>> I have defined my application flow like this,
>>
>> *val flow = Flow[StringConsumerRecord].*
>> * map(tup => new Ticket(tup.value.toLong)).*
>> * mapConcat(applyBusinessLogic(_)).*
>> * groupBy(4, _._1).*
>> * groupedWithin(100, 5.second).*
>> * mergeSubstreams.*
>> * throttle(1, 1.second, 1, ThrottleMode.shaping)*
>>
>>
>> Basically I don't want to apply `*groupedWithin(100, 5.second)*` for all
>> the sub flows.
>>
>> Based on the type of the grouped data, for one sub stream I want to do
>> *groupedWithin(10,
>> 10.second) *and for another *groupedWithin(1000, 1.second) etc... *and
>> finally merge all. Basically I am trying to do some sort to pattern
>> matching on the sub-flows and take different actions.
>>
>> Can someone give any pointers on how to achieve this.
>>
>>
>> -thanks
>> Vishal
>>
>> --
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>
>
>
>
>
--
>>>>>>>>>> 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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