!str #19732 Concise and consistent way to mark async boundaries
This commit is contained in:
parent
d154fad4e9
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25 changed files with 125 additions and 194 deletions
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@ -26,5 +26,10 @@ trait Graph[+S <: Shape, +M] {
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def named(name: String): Graph[S, M] = withAttributes(Attributes.name(name))
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/**
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* Put an asynchronous boundary around this `Graph`
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*/
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def async: Graph[S, M] = addAttributes(Attributes.asyncBoundary)
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def addAttributes(attr: Attributes): Graph[S, M] = withAttributes(module.attributes and attr)
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}
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@ -34,6 +34,8 @@ class SubFlowImpl[In, Out, Mat, F[+_], C](val subFlow: Flow[In, Out, NotUsed],
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override def named(name: String): SubFlow[Out, Mat, F, C] =
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new SubFlowImpl[In, Out, Mat, F, C](subFlow.named(name), mergeBackFunction, finishFunction)
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override def async: Repr[Out] = new SubFlowImpl[In, Out, Mat, F, C](subFlow.async, mergeBackFunction, finishFunction)
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override def mergeSubstreamsWithParallelism(breadth: Int): F[Out] = mergeBackFunction(subFlow, breadth)
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def to[M](sink: Graph[SinkShape[Out], M]): C = finishFunction(subFlow.to(sink))
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@ -125,47 +125,6 @@ final class Flow[-In, +Out, +Mat](delegate: scaladsl.Flow[In, Out, Mat]) extends
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def viaMat[T, M, M2](flow: Graph[FlowShape[Out, T], M], combine: function.Function2[Mat, M, M2]): javadsl.Flow[In, T, M2] =
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new Flow(delegate.viaMat(flow)(combinerToScala(combine)))
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/**
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* Transform this [[Flow]] by appending the given processing steps, ensuring
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* that an `asyncBoundary` attribute is set around those steps.
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* {{{
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* +----------------------------+
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* | Resulting Flow |
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* | |
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* | +------+ +------+ |
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* | | | | | |
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* In ~~> | this | ~Out~> | flow | ~~> T
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* | | | | | |
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* | +------+ +------+ |
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* +----------------------------+
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* }}}
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* The materialized value of the combined [[Flow]] will be the materialized
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* value of the current flow (ignoring the other Flow’s value), use
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* `viaMat` if a different strategy is needed.
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*/
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def viaAsync[T, M](flow: Graph[FlowShape[Out, T], M]): javadsl.Flow[In, T, Mat] =
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new Flow(delegate.viaAsync(flow))
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/**
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* Transform this [[Flow]] by appending the given processing steps, ensuring
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* that an `asyncBoundary` attribute is set around those steps.
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* {{{
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* +----------------------------+
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* | Resulting Flow |
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* | |
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* | +------+ +------+ |
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* | | | | | |
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* In ~~> | this | ~Out~> | flow | ~~> T
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* | | | | | |
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* | +------+ +------+ |
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* +----------------------------+
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* }}}
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* The `combine` function is used to compose the materialized values of this flow and that
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* flow into the materialized value of the resulting Flow.
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*/
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def viaAsyncMat[T, M, M2](flow: Graph[FlowShape[Out, T], M], combine: function.Function2[Mat, M, M2]): javadsl.Flow[In, T, M2] =
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new Flow(delegate.viaAsyncMat(flow)(combinerToScala(combine)))
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/**
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* Connect this [[Flow]] to a [[Sink]], concatenating the processing steps of both.
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* {{{
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@ -1664,6 +1623,12 @@ final class Flow[-In, +Out, +Mat](delegate: scaladsl.Flow[In, Out, Mat]) extends
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override def named(name: String): javadsl.Flow[In, Out, Mat] =
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new Flow(delegate.named(name))
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/**
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* Put an asynchronous boundary around this `Flow`
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*/
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override def async: javadsl.Flow[In, Out, Mat] =
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new Flow(delegate.async)
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/**
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* Logs elements flowing through the stream as well as completion and erroring.
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*
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@ -306,4 +306,11 @@ final class Sink[-In, +Mat](delegate: scaladsl.Sink[In, Mat]) extends Graph[Sink
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*/
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override def named(name: String): javadsl.Sink[In, Mat] =
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new Sink(delegate.named(name))
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/**
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* Put an asynchronous boundary around this `Sink`
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*/
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override def async: javadsl.Sink[In, Mat] =
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new Sink(delegate.async)
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}
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@ -376,47 +376,6 @@ final class Source[+Out, +Mat](delegate: scaladsl.Source[Out, Mat]) extends Grap
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def viaMat[T, M, M2](flow: Graph[FlowShape[Out, T], M], combine: function.Function2[Mat, M, M2]): javadsl.Source[T, M2] =
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new Source(delegate.viaMat(flow)(combinerToScala(combine)))
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/**
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* Transform this [[Source]] by appending the given processing stages, ensuring
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* that an `asyncBoundary` attribute is set around those steps.
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* {{{
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* +----------------------------+
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* | Resulting Source |
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* | |
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* | +------+ +------+ |
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* | | | | | |
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* | | this | ~Out~> | flow | ~~> T
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* | | | | | |
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* | +------+ +------+ |
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* +----------------------------+
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* }}}
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* The materialized value of the combined [[Flow]] will be the materialized
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* value of the current flow (ignoring the other Flow’s value), use
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* `viaMat` if a different strategy is needed.
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*/
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def viaAsync[T, M](flow: Graph[FlowShape[Out, T], M]): javadsl.Source[T, Mat] =
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new Source(delegate.viaAsync(flow))
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/**
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* Transform this [[Source]] by appending the given processing stages, ensuring
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* that an `asyncBoundary` attribute is set around those steps.
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* {{{
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* +----------------------------+
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* | Resulting Source |
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* | |
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* | +------+ +------+ |
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* | | | | | |
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* | | this | ~Out~> | flow | ~~> T
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* | | | | | |
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* | +------+ +------+ |
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* +----------------------------+
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* }}}
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* The `combine` function is used to compose the materialized values of this flow and that
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* flow into the materialized value of the resulting Flow.
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*/
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def viaAsyncMat[T, M, M2](flow: Graph[FlowShape[Out, T], M], combine: function.Function2[Mat, M, M2]): javadsl.Source[T, M2] =
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new Source(delegate.viaAsyncMat(flow)(combinerToScala(combine)))
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/**
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* Connect this [[Source]] to a [[Sink]], concatenating the processing steps of both.
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* {{{
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@ -1808,6 +1767,12 @@ final class Source[+Out, +Mat](delegate: scaladsl.Source[Out, Mat]) extends Grap
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override def named(name: String): javadsl.Source[Out, Mat] =
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new Source(delegate.named(name))
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/**
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* Put an asynchronous boundary around this `Source`
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*/
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override def async: javadsl.Source[Out, Mat] =
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new Source(delegate.async)
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/**
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* Logs elements flowing through the stream as well as completion and erroring.
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*
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@ -84,29 +84,6 @@ class SubFlow[-In, +Out, +Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flo
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def via[T, M](flow: Graph[FlowShape[Out, T], M]): SubFlow[In, T, Mat] =
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new SubFlow(delegate.via(flow))
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/**
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* Transform this [[Flow]] by appending the given processing steps, ensuring
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* that an `asyncBoundary` attribute is set around those steps.
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*
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* {{{
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* +----------------------------+
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* | Resulting Flow |
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* | |
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* | +------+ +------+ |
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* | | | | | |
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* In ~~> | this | ~Out~> | flow | ~~> T
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* | | | | | |
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* | +------+ +------+ |
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* +----------------------------+
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* }}}
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*
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* The materialized value of the combined [[Flow]] will be the materialized
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* value of the current flow (ignoring the other Flow’s value), use
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* [[Flow#viaMat viaMat]] if a different strategy is needed.
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*/
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def viaAsync[T, M](flow: Graph[FlowShape[Out, T], M]): SubFlow[In, T, Mat] =
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new SubFlow(delegate.viaAsync(flow))
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/**
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* Connect this [[SubFlow]] to a [[Sink]], concatenating the processing steps of both.
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* This means that all sub-flows that result from the previous sub-stream operator
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@ -1191,6 +1168,12 @@ class SubFlow[-In, +Out, +Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Flo
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def named(name: String): SubFlow[In, Out, Mat] =
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new SubFlow(delegate.named(name))
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/**
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* Put an asynchronous boundary around this `SubFlow`
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*/
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def async: SubFlow[In, Out, Mat] =
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new SubFlow(delegate.async)
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/**
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* Logs elements flowing through the stream as well as completion and erroring.
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*
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@ -82,27 +82,6 @@ class SubSource[+Out, +Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Source
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def via[T, M](flow: Graph[FlowShape[Out, T], M]): SubSource[T, Mat] =
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new SubSource(delegate.via(flow))
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/**
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* Transform this [[SubSource]] by appending the given processing steps, ensuring
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* that an `asyncBoundary` attribute is set around those steps.
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* {{{
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* +----------------------------+
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* | Resulting Source |
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* | |
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* | +------+ +------+ |
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* | | | | | |
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* | | this | ~Out~> | flow | ~~> T
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* | | | | | |
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* | +------+ +------+ |
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* +----------------------------+
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* }}}
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* The materialized value of the combined [[Flow]] will be the materialized
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* value of the current flow (ignoring the other Flow’s value), use
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* [[Flow#viaMat viaMat]] if a different strategy is needed.
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*/
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def viaAsync[T, M](flow: Graph[FlowShape[Out, T], M]): SubSource[T, Mat] =
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new SubSource(delegate.viaAsync(flow))
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/**
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* Connect this [[SubSource]] to a [[Sink]], concatenating the processing steps of both.
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* This means that all sub-flows that result from the previous sub-stream operator
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@ -1188,6 +1167,12 @@ class SubSource[+Out, +Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Source
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def named(name: String): SubSource[Out, Mat] =
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new SubSource(delegate.named(name))
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/**
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* Put an asynchronous boundary around this `SubSource`
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*/
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def async: SubSource[Out, Mat] =
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new SubSource(delegate.async)
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/**
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* Logs elements flowing through the stream as well as completion and erroring.
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*
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@ -152,7 +152,10 @@ final class BidiFlow[-I1, +O1, -I2, +O2, +Mat](private[stream] override val modu
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* Add a ``name`` attribute to this Flow.
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*/
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override def named(name: String): BidiFlow[I1, O1, I2, O2, Mat] =
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withAttributes(Attributes.name(name))
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addAttributes(Attributes.name(name))
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override def async: BidiFlow[I1, O1, I2, O2, Mat] =
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addAttributes(Attributes.asyncBoundary)
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}
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object BidiFlow {
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@ -214,7 +214,7 @@ final class Flow[-In, +Out, +Mat](private[stream] override val module: Module)
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*/
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override def withAttributes(attr: Attributes): Repr[Out] =
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if (isIdentity) this
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else new Flow(module.withAttributes(attr).nest())
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else new Flow(module.withAttributes(attr))
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/**
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* Add the given attributes to this Flow. Further calls to `withAttributes`
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@ -227,7 +227,12 @@ final class Flow[-In, +Out, +Mat](private[stream] override val module: Module)
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/**
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* Add a ``name`` attribute to this Flow.
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*/
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override def named(name: String): Repr[Out] = withAttributes(Attributes.name(name))
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override def named(name: String): Repr[Out] = addAttributes(Attributes.name(name))
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/**
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* Put an asynchronous boundary around this `Flow`
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*/
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override def async: Repr[Out] = addAttributes(Attributes.asyncBoundary)
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/**
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* Connect the `Source` to this `Flow` and then connect it to the `Sink` and run it. The returned tuple contains
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@ -390,26 +395,6 @@ trait FlowOps[+Out, +Mat] {
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*/
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def via[T, Mat2](flow: Graph[FlowShape[Out, T], Mat2]): Repr[T]
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/**
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* Transform this [[Flow]] by appending the given processing steps, ensuring
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* that an `asyncBoundary` attribute is set around those steps.
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* {{{
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* +----------------------------+
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* | Resulting Flow |
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* | |
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* | +------+ +------+ |
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* | | | | | |
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* In ~~> | this | ~Out~> | flow | ~~> T
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* | | | | | |
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* | +------+ +------+ |
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* +----------------------------+
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* }}}
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* The materialized value of the combined [[Flow]] will be the materialized
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* value of the current flow (ignoring the other Flow’s value), use
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* [[Flow#viaMat viaMat]] if a different strategy is needed.
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*/
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def viaAsync[T, Mat2](flow: Graph[FlowShape[Out, T], Mat2]): Repr[T] = via(flow.addAttributes(Attributes.asyncBoundary))
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/**
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* Recover allows to send last element on failure and gracefully complete the stream
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* Since the underlying failure signal onError arrives out-of-band, it might jump over existing elements.
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@ -1743,6 +1728,8 @@ trait FlowOps[+Out, +Mat] {
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def named(name: String): Repr[Out]
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def async: Repr[Out]
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/** INTERNAL API */
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private[scaladsl] def andThen[T](op: SymbolicStage[Out, T]): Repr[T] =
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via(SymbolicGraphStage(op))
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@ -1787,26 +1774,6 @@ trait FlowOpsMat[+Out, +Mat] extends FlowOps[Out, Mat] {
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*/
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def viaMat[T, Mat2, Mat3](flow: Graph[FlowShape[Out, T], Mat2])(combine: (Mat, Mat2) ⇒ Mat3): ReprMat[T, Mat3]
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/**
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* Transform this [[Flow]] by appending the given processing steps, ensuring
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* that an `asyncBoundary` attribute is set around those steps.
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* {{{
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* +----------------------------+
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* | Resulting Flow |
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* | |
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* | +------+ +------+ |
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* | | | | | |
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* In ~~> | this | ~Out~> | flow | ~~> T
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* | | | | | |
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* | +------+ +------+ |
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* +----------------------------+
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* }}}
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* The `combine` function is used to compose the materialized values of this flow and that
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* flow into the materialized value of the resulting Flow.
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*/
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def viaAsyncMat[T, Mat2, Mat3](flow: Graph[FlowShape[Out, T], Mat2])(combine: (Mat, Mat2) ⇒ Mat3): ReprMat[T, Mat3] =
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viaMat(flow.addAttributes(Attributes.asyncBoundary))(combine)
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/**
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* Connect this [[Flow]] to a [[Sink]], concatenating the processing steps of both.
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* {{{
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@ -1007,14 +1007,14 @@ object GraphDSL extends GraphApply {
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private class PortOpsImpl[+Out](override val outlet: Outlet[Out @uncheckedVariance], b: Builder[_])
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extends PortOps[Out] {
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override def withAttributes(attr: Attributes): Repr[Out] =
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throw new UnsupportedOperationException("Cannot set attributes on chained ops from a junction output port")
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override def withAttributes(attr: Attributes): Repr[Out] = throw settingAttrNotSupported
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override def addAttributes(attr: Attributes): Repr[Out] = throw settingAttrNotSupported
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override def named(name: String): Repr[Out] = throw settingAttrNotSupported
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override def async: Repr[Out] = throw settingAttrNotSupported
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override def addAttributes(attr: Attributes): Repr[Out] =
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throw new UnsupportedOperationException("Cannot set attributes on chained ops from a junction output port")
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private def settingAttrNotSupported =
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new UnsupportedOperationException("Cannot set attributes on chained ops from a junction output port")
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override def named(name: String): Repr[Out] =
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throw new UnsupportedOperationException("Cannot set attributes on chained ops from a junction output port")
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override def importAndGetPort(b: Builder[_]): Outlet[Out @uncheckedVariance] = outlet
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@ -72,7 +72,12 @@ final class Sink[-In, +Mat](private[stream] override val module: Module)
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/**
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* Add a ``name`` attribute to this Flow.
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*/
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override def named(name: String): Sink[In, Mat] = withAttributes(Attributes.name(name))
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override def named(name: String): Sink[In, Mat] = addAttributes(Attributes.name(name))
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/**
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* Put an asynchronous boundary around this `Sink`
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*/
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override def async: Sink[In, Mat] = addAttributes(Attributes.asyncBoundary)
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/** Converts this Scala DSL element to it's Java DSL counterpart. */
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def asJava: javadsl.Sink[In, Mat] = new javadsl.Sink(this)
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@ -145,7 +145,12 @@ final class Source[+Out, +Mat](private[stream] override val module: Module)
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/**
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* Add a ``name`` attribute to this Flow.
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*/
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override def named(name: String): Repr[Out] = withAttributes(Attributes.name(name))
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override def named(name: String): Repr[Out] = addAttributes(Attributes.name(name))
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/**
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* Put an asynchronous boundary around this `Source`
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*/
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override def async: Repr[Out] = addAttributes(Attributes.asyncBoundary)
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/** Converts this Scala DSL element to it's Java DSL counterpart. */
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def asJava: javadsl.Source[Out, Mat] = new javadsl.Source(this)
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