+doc #19429 initial merge of docs-dev and docs
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akka-docs/rst/scala/code/docs/stream/FlowDocSpec.scala
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akka-docs/rst/scala/code/docs/stream/FlowDocSpec.scala
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/**
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* Copyright (C) 2014 Typesafe Inc. <http://www.typesafe.com>
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*/
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package docs.stream
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import akka.actor.Cancellable
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import akka.stream.{ ClosedShape, FlowShape }
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import akka.stream.scaladsl._
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import akka.stream.testkit.AkkaSpec
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import scala.concurrent.{ Promise, Future }
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class FlowDocSpec extends AkkaSpec {
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implicit val ec = system.dispatcher
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//#imports
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import akka.stream.ActorMaterializer
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//#imports
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implicit val materializer = ActorMaterializer()
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"source is immutable" in {
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//#source-immutable
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val source = Source(1 to 10)
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source.map(_ => 0) // has no effect on source, since it's immutable
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source.runWith(Sink.fold(0)(_ + _)) // 55
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val zeroes = source.map(_ => 0) // returns new Source[Int], with `map()` appended
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zeroes.runWith(Sink.fold(0)(_ + _)) // 0
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//#source-immutable
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}
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"materialization in steps" in {
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//#materialization-in-steps
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val source = Source(1 to 10)
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val sink = Sink.fold[Int, Int](0)(_ + _)
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// connect the Source to the Sink, obtaining a RunnableGraph
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val runnable: RunnableGraph[Future[Int]] = source.toMat(sink)(Keep.right)
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// materialize the flow and get the value of the FoldSink
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val sum: Future[Int] = runnable.run()
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//#materialization-in-steps
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}
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"materialization runWith" in {
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//#materialization-runWith
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val source = Source(1 to 10)
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val sink = Sink.fold[Int, Int](0)(_ + _)
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// materialize the flow, getting the Sinks materialized value
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val sum: Future[Int] = source.runWith(sink)
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//#materialization-runWith
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}
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"materialization is unique" in {
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//#stream-reuse
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// connect the Source to the Sink, obtaining a RunnableGraph
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val sink = Sink.fold[Int, Int](0)(_ + _)
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val runnable: RunnableGraph[Future[Int]] =
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Source(1 to 10).toMat(sink)(Keep.right)
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// get the materialized value of the FoldSink
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val sum1: Future[Int] = runnable.run()
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val sum2: Future[Int] = runnable.run()
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// sum1 and sum2 are different Futures!
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//#stream-reuse
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}
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"compound source cannot be used as key" in {
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// FIXME #16902 This example is now turned around
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// The WRONG case has been switched
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//#compound-source-is-not-keyed-runWith
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import scala.concurrent.duration._
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case object Tick
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val timer = Source.tick(initialDelay = 1.second, interval = 1.seconds, tick = () => Tick)
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val timerCancel: Cancellable = Sink.ignore.runWith(timer)
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timerCancel.cancel()
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val timerMap = timer.map(tick => "tick")
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// materialize the flow and retrieve the timers Cancellable
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val timerCancellable = Sink.ignore.runWith(timerMap)
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timerCancellable.cancel()
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//#compound-source-is-not-keyed-runWith
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//#compound-source-is-not-keyed-run
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val timerCancellable2 = timerMap.to(Sink.ignore).run()
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timerCancellable2.cancel()
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//#compound-source-is-not-keyed-run
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}
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"creating sources, sinks" in {
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//#source-sink
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// Create a source from an Iterable
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Source(List(1, 2, 3))
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// Create a source from a Future
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Source.fromFuture(Future.successful("Hello Streams!"))
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// Create a source from a single element
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Source.single("only one element")
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// an empty source
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Source.empty
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// Sink that folds over the stream and returns a Future
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// of the final result as its materialized value
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Sink.fold[Int, Int](0)(_ + _)
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// Sink that returns a Future as its materialized value,
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// containing the first element of the stream
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Sink.head
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// A Sink that consumes a stream without doing anything with the elements
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Sink.ignore
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// A Sink that executes a side-effecting call for every element of the stream
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Sink.foreach[String](println(_))
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//#source-sink
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}
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"various ways of connecting source, sink, flow" in {
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//#flow-connecting
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// Explicitly creating and wiring up a Source, Sink and Flow
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Source(1 to 6).via(Flow[Int].map(_ * 2)).to(Sink.foreach(println(_)))
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// Starting from a Source
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val source = Source(1 to 6).map(_ * 2)
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source.to(Sink.foreach(println(_)))
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// Starting from a Sink
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val sink: Sink[Int, Unit] = Flow[Int].map(_ * 2).to(Sink.foreach(println(_)))
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Source(1 to 6).to(sink)
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// Broadcast to a sink inline
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val otherSink: Sink[Int, Unit] =
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Flow[Int].alsoTo(Sink.foreach(println(_))).to(Sink.ignore)
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Source(1 to 6).to(otherSink)
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//#flow-connecting
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}
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"various ways of transforming materialized values" in {
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import scala.concurrent.duration._
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val throttler = Flow.fromGraph(GraphDSL.create(Source.tick(1.second, 1.second, "test")) { implicit builder =>
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tickSource =>
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import GraphDSL.Implicits._
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val zip = builder.add(ZipWith[String, Int, Int](Keep.right))
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tickSource ~> zip.in0
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FlowShape(zip.in1, zip.out)
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})
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//#flow-mat-combine
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// An source that can be signalled explicitly from the outside
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val source: Source[Int, Promise[Option[Int]]] = Source.maybe[Int]
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// A flow that internally throttles elements to 1/second, and returns a Cancellable
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// which can be used to shut down the stream
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val flow: Flow[Int, Int, Cancellable] = throttler
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// A sink that returns the first element of a stream in the returned Future
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val sink: Sink[Int, Future[Int]] = Sink.head[Int]
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// By default, the materialized value of the leftmost stage is preserved
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val r1: RunnableGraph[Promise[Option[Int]]] = source.via(flow).to(sink)
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// Simple selection of materialized values by using Keep.right
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val r2: RunnableGraph[Cancellable] = source.viaMat(flow)(Keep.right).to(sink)
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val r3: RunnableGraph[Future[Int]] = source.via(flow).toMat(sink)(Keep.right)
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// Using runWith will always give the materialized values of the stages added
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// by runWith() itself
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val r4: Future[Int] = source.via(flow).runWith(sink)
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val r5: Promise[Option[Int]] = flow.to(sink).runWith(source)
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val r6: (Promise[Option[Int]], Future[Int]) = flow.runWith(source, sink)
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// Using more complext combinations
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val r7: RunnableGraph[(Promise[Option[Int]], Cancellable)] =
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source.viaMat(flow)(Keep.both).to(sink)
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val r8: RunnableGraph[(Promise[Option[Int]], Future[Int])] =
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source.via(flow).toMat(sink)(Keep.both)
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val r9: RunnableGraph[((Promise[Option[Int]], Cancellable), Future[Int])] =
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source.viaMat(flow)(Keep.both).toMat(sink)(Keep.both)
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val r10: RunnableGraph[(Cancellable, Future[Int])] =
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source.viaMat(flow)(Keep.right).toMat(sink)(Keep.both)
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// It is also possible to map over the materialized values. In r9 we had a
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// doubly nested pair, but we want to flatten it out
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val r11: RunnableGraph[(Promise[Option[Int]], Cancellable, Future[Int])] =
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r9.mapMaterializedValue {
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case ((promise, cancellable), future) =>
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(promise, cancellable, future)
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}
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// Now we can use pattern matching to get the resulting materialized values
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val (promise, cancellable, future) = r11.run()
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// Type inference works as expected
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promise.success(None)
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cancellable.cancel()
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future.map(_ + 3)
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// The result of r11 can be also achieved by using the Graph API
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val r12: RunnableGraph[(Promise[Option[Int]], Cancellable, Future[Int])] =
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RunnableGraph.fromGraph(GraphDSL.create(source, flow, sink)((_, _, _)) { implicit builder =>
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(src, f, dst) =>
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import GraphDSL.Implicits._
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src ~> f ~> dst
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ClosedShape
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})
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//#flow-mat-combine
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}
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"explicit fusing" in {
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//#explicit-fusing
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import akka.stream.Fusing
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val flow = Flow[Int].map(_ * 2).filter(_ > 500)
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val fused = Fusing.aggressive(flow)
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Source.fromIterator { () => Iterator from 0 }
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.via(fused)
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.take(1000)
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//#explicit-fusing
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}
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"defining asynchronous boundaries" in {
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//#flow-async
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import akka.stream.Attributes.asyncBoundary
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Source(List(1, 2, 3))
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.map(_ + 1)
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.withAttributes(asyncBoundary)
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.map(_ * 2)
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.to(Sink.ignore)
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//#flow-async
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}
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}
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