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 <[email protected]> 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
>
> --
> >>>>>>>>>> Read the docs: http://akka.io/docs/
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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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