+doc: Added materialized value handling section for Java
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2 changed files with 13 additions and 3 deletions
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@ -196,6 +196,16 @@ which will be running on the thread pools they have been configured to run on -
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Reusing *instances* of linear computation stages (Source, Sink, Flow) inside FlowGraphs is legal,
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yet will materialize that stage multiple times.
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Combining materialized values
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Since every processing stage in Akka Streams can provide a materialized value after being materialized, it is necessary
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to somehow express how these values should be composed to a final value when we plug these stages together. For this,
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many combinator methods have variants that take an additional argument, a function, that will be used to combine the
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resulting values. Some examples of using these combiners are illustrated in the example below.
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.. includecode:: ../../../akka-samples/akka-docs-java-lambda/src/test/java/docs/stream/FlowDocSpec.scala#flow-mat-combine
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Stream ordering
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===============
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@ -12,7 +12,7 @@ import org.reactivestreams.Publisher
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import org.reactivestreams.Subscriber
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import scala.annotation.unchecked.uncheckedVariance
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import scala.collection.JavaConverters._
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import scala.concurrent.Future
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import scala.concurrent.{Promise, Future}
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import scala.concurrent.duration.FiniteDuration
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import scala.language.higherKinds
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import scala.language.implicitConversions
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@ -46,8 +46,8 @@ object Source {
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* be used to externally trigger completion, which the source then signalls
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* to its downstream.
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*/
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def lazyEmpty[T]() =
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new Source(scaladsl.Source.lazyEmpty())
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def lazyEmpty[T](): Source[T, Promise[Unit]] =
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new Source[T, Promise[Unit]](scaladsl.Source.lazyEmpty())
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/**
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* Helper to create [[Source]] from `Publisher`.
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