I have an Akka Streams Source
which I want to split into two sources according to a predicate.
E.g. having a source (types are simplified intentionally):
val source: Source[Either[Throwable, String], NotUsed] = ???
And two methods:
def handleSuccess(source: Source[String, NotUsed]): Future[Unit] = ???
def handleFailure(source: Source[Throwable, NotUsed]): Future[Unit] = ???
I would like to be able to split the source
according to _.isRight
predicate and pass the right part to handleSuccess
method and left part to handleFailure
method.
I tried using Broadcast
splitter but it requires Sink
s at the end.
Unlike heavier “streaming data processing” frameworks, Akka Streams are neither “deployed” nor automatically distributed.
Akka streams consist of three major components in it – Source, Flow and Sink.
Back-pressure. A means of flow-control, a way for consumers of data to notify a producer about their current availability, effectively slowing down the upstream producer to match their consumption speeds. In the context of Akka Streams back-pressure is always understood as non-blocking and asynchronous. Non-Blocking.
The starting point is called Source and can be a collection, an iterator, a block of code which is evaluated repeatedly or a org.reactivestreams.Publisher. A flow with an attached input and open output is also a Source. A flow may also be defined without an attached input or output and that is then a Flow.
You can use divertTo
to attach alternative Sink to the flow to handle Left
s: https://doc.akka.io/docs/akka/current/stream/operators/Source-or-Flow/divertTo.html
source
.divertTo(handleFailureSink, _.isLeft)
.map(rightEither => handleSuccess(rightEither.right.get()))
Edit: this other answer with divertTo
is a better solution than mine, IMO. I'll leave my answer as-is for posterity.
original answer:
This is implemented in akka-stream-contrib
as PartitionWith
. Add this dependency to SBT to pull it in to your project:
libraryDependencies += "com.typesafe.akka" %% "akka-stream-contrib" % "0.9"```
`PartitionWith` is shaped like a `Broadcast(2)`, but with potentially different types for each of the two outlets. You provide it with a predicate to apply to each element, and depending on the outcome, they get routed to the applicable outlet. You can then attach a `Sink` or `Flow` to each of these outlets independently as appropriate. Building on [cessationoftime's example](https://stackoverflow.com/a/39744355/147806), with the `Broadcast` replaced with a `PartitionWith`:
val eitherSource: Source[Either[Throwable, String], NotUsed] = Source.empty
val leftSink = Sink.foreach[Throwable](s => println(s"FAILURE: $s"))
val rightSink = Sink.foreach[String](s => println(s"SUCCESS: $s"))
val flow = RunnableGraph.fromGraph(GraphDSL.create(eitherSource, leftSink, rightSink)
((_, _, _)) { implicit b => (s, l, r) =>
import GraphDSL.Implicits._
val pw = b.add(
PartitionWith.apply[Either[Throwable, String], Throwable, String](identity)
)
eitherSource ~> pw.in
pw.out0 ~> leftSink
pw.out1 ~> rightSink
ClosedShape
})
val r = flow.run()
Await.result(Future.sequence(List(r._2, r._3)), Duration.Inf)
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