There's an issue on file for doing the filter & nonFilter in a single graph
element: https://github.com/akka/akka/issues/17038
Meanwhile, you can a use less powerful variant using FlexiRoute:
https://github.com/rkrzewski/akka-cluster-etcd/blob/master/etcd-client/src/main/scala/pl/caltha/akka/streams/EitherJunction.scala
Usage
example:
https://github.com/rkrzewski/akka-cluster-etcd/blob/master/etcd-client/src/main/scala/pl/caltha/akka/http/HttpRedirects.scala#L59
The project binares are not published anywhere, so feel free to copy-paste
the code if you find it useful :)
Cheers,
Rafał
W dniu wtorek, 1 września 2015 20:54:48 UTC+2 użytkownik Lance Arlaus
napisał:
>
> Leon-
>
> There's a couple of ways to solve this, but one simple solution is to use
> a combination of Broadcast, filter, and Merge.
> 1. Broadcast the elements to two branches and filter each branch. Assuming
> the respective filters are mutually exclusive, each element will only go
> down a single branch.
> 2. Place the FlowB on the desired branch to receive extra processing.
> 3. Place the Merge prior to FlowC to join the two branches
>
> The result will look something like this:
> FlowA ~> bcast ~> nonfilter ~> FlowB ~> merge
> ~> filter ~> merge
> ~> merge.out
> ~> FlowC
>
> However, an even simpler solution, depending on your requirements, is to
> just implement FlowB as a map stage that passes through on false match.
> Something like:
>
> val flowB = Flow[T].map(e => cond(e) match {
> case true => // do something
> case false => e
> }
>
> You can then just chain via() calls (flowA.via(flowB).via(flowC)). A wee
> bit simpler if it fits your case.
>
> Lance
>
>
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