this commit removes some operators with outpu too complex:
- ignored operators:
"ask.md",
"alsoTo.md",
"batchWeighted.md",
"buffer.md",
"actorRef.md",
"collect.md",
"collection.md",
"combine.md",
"completionTimeout.md",
"concat.md",
"from.md",
"fromMaterializer.md",
"map.md",
"merge.md",
"queue.md",
"log.md", // too many overloads, breaks `paradox` task
"throttle.md", // too many overloads, breaks `paradox` task
"idleTimeout.md", // too many overloads, breaks `paradox` task
"setup.md",
"watch.md",
"withBackoff.md",
"zip.md",
"zipWith.md",
"actorRefWithBackpressure.md"
- Ignored class when FQCN contains: Implicits, FlowOpsMat, SubSource, FlowOps, SubFlow, WithContext, DelayStrategy
- some extra manual cleanup on the committed operators.
1.3 KiB
fromJavaStream
Stream the values from a Java 8 Stream, requesting the next value when there is demand.
@refSource operators
Signature
@apidocStreamConverters.fromJavaStream { scala="#fromJavaStreamT,S<:java.util.stream.BaseStream[T,S]:akka.stream.scaladsl.Source[T,akka.NotUsed]" java="#fromJavaStream(akka.japi.function.Creator)" }
Description
Stream the values from a Java 8 Stream, requesting the next value when there is demand. The iterator will be created anew
for each materialization, which is the reason the @scala[method] @java[factory] takes a @scala[function] @java[Creator] rather than an Stream directly.
You can use Source.async to create asynchronous boundaries between synchronous java stream and the rest of flow.
Example
- Scala
- @@snip From.scala { #from-javaStream }
- Java
- @@snip From.java { #from-javaStream }
Reactive Streams semantics
@@@div { .callout }
emits the next value returned from the iterator
completes when the iterator reaches its end
@@@