Add fluent API for 2-stream merging (#27020)

* fluent API for 2-stream mergeLatest, mergePreferred and mergePrioritized
* Add javadocs and 'eagerClose' paramter to 'mergeLatest'
* fluent API's for
This commit is contained in:
Arnout Engelen 2019-07-16 10:54:18 +02:00 committed by Johan Andrén
parent 0f7dbf6fcb
commit d3170a56ea
9 changed files with 404 additions and 1 deletions

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@ -4,8 +4,14 @@ Merge multiple sources.
@ref[Fan-in operators](../index.md#fan-in-operators) @ref[Fan-in operators](../index.md#fan-in-operators)
@@@div { .group-scala }
## Signature ## Signature
@@signature [Flow.scala](/akka-stream/src/main/scala/akka/stream/scaladsl/Flow.scala) { #mergeLatest }
@@@
## Description ## Description
MergeLatest joins elements from N input streams into stream of lists of size N. MergeLatest joins elements from N input streams into stream of lists of size N.

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@ -8,7 +8,7 @@ Merge multiple sources.
## Description ## Description
Merge multiple sources. Prefer one source if all sources has elements ready. Merge multiple sources. Prefer one source if all sources have elements ready.
@@@div { .callout } @@@div { .callout }

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@ -245,6 +245,9 @@ the inputs in different ways.
|Source/Flow|<a name="concat"></a>@ref[concat](Source-or-Flow/concat.md)|After completion of the original upstream the elements of the given source will be emitted.| |Source/Flow|<a name="concat"></a>@ref[concat](Source-or-Flow/concat.md)|After completion of the original upstream the elements of the given source will be emitted.|
|Source/Flow|<a name="interleave"></a>@ref[interleave](Source-or-Flow/interleave.md)|Emits a specifiable number of elements from the original source, then from the provided source and repeats.| |Source/Flow|<a name="interleave"></a>@ref[interleave](Source-or-Flow/interleave.md)|Emits a specifiable number of elements from the original source, then from the provided source and repeats.|
|Source/Flow|<a name="merge"></a>@ref[merge](Source-or-Flow/merge.md)|Merge multiple sources.| |Source/Flow|<a name="merge"></a>@ref[merge](Source-or-Flow/merge.md)|Merge multiple sources.|
|Source/Flow|<a name="mergelatest"></a>@ref[mergeLatest](Source-or-Flow/mergeLatest.md)|Merge multiple sources.|
|Source/Flow|<a name="mergepreferred"></a>@ref[mergePreferred](Source-or-Flow/mergePreferred.md)|Merge multiple sources.|
|Source/Flow|<a name="mergeprioritized"></a>@ref[mergePrioritized](Source-or-Flow/mergePrioritized.md)|Merge multiple sources.|
|Source/Flow|<a name="mergesorted"></a>@ref[mergeSorted](Source-or-Flow/mergeSorted.md)|Merge multiple sources.| |Source/Flow|<a name="mergesorted"></a>@ref[mergeSorted](Source-or-Flow/mergeSorted.md)|Merge multiple sources.|
|Source/Flow|<a name="orelse"></a>@ref[orElse](Source-or-Flow/orElse.md)|If the primary source completes without emitting any elements, the elements from the secondary source are emitted.| |Source/Flow|<a name="orelse"></a>@ref[orElse](Source-or-Flow/orElse.md)|If the primary source completes without emitting any elements, the elements from the secondary source are emitted.|
|Source/Flow|<a name="prepend"></a>@ref[prepend](Source-or-Flow/prepend.md)|Prepends the given source to the flow, consuming it until completion before the original source is consumed.| |Source/Flow|<a name="prepend"></a>@ref[prepend](Source-or-Flow/prepend.md)|Prepends the given source to the flow, consuming it until completion before the original source is consumed.|
@ -345,6 +348,9 @@ For more background see the @ref[Error Handling in Streams](../stream-error.md)
* [wireTap](Source-or-Flow/wireTap.md) * [wireTap](Source-or-Flow/wireTap.md)
* [interleave](Source-or-Flow/interleave.md) * [interleave](Source-or-Flow/interleave.md)
* [merge](Source-or-Flow/merge.md) * [merge](Source-or-Flow/merge.md)
* [mergeLatest](Source-or-Flow/mergeLatest.md)
* [mergePreferred](Source-or-Flow/mergePreferred.md)
* [mergePrioritized](Source-or-Flow/mergePrioritized.md)
* [mergeSorted](Source-or-Flow/mergeSorted.md) * [mergeSorted](Source-or-Flow/mergeSorted.md)
* [zip](Source-or-Flow/zip.md) * [zip](Source-or-Flow/zip.md)
* [zipAll](Source-or-Flow/zipAll.md) * [zipAll](Source-or-Flow/zipAll.md)

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@ -65,6 +65,9 @@ class DslConsistencySpec extends WordSpec with Matchers {
"zipLatestWithGraph", "zipLatestWithGraph",
"zipAllFlow", "zipAllFlow",
"mergeGraph", "mergeGraph",
"mergeLatestGraph",
"mergePreferredGraph",
"mergePrioritizedGraph",
"mergeSortedGraph", "mergeSortedGraph",
"interleaveGraph", "interleaveGraph",
"concatGraph", "concatGraph",

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@ -2476,6 +2476,94 @@ final class Flow[In, Out, Mat](delegate: scaladsl.Flow[In, Out, Mat]) extends Gr
eagerComplete: Boolean): javadsl.Flow[In, Out, M2] = eagerComplete: Boolean): javadsl.Flow[In, Out, M2] =
new Flow(delegate.mergeMat(that, eagerComplete)(combinerToScala(matF))) new Flow(delegate.mergeMat(that, eagerComplete)(combinerToScala(matF)))
/**
* MergeLatest joins elements from N input streams into stream of lists of size N.
* i-th element in list is the latest emitted element from i-th input stream.
* MergeLatest emits list for each element emitted from some input stream,
* but only after each input stream emitted at least one element.
*
* '''Emits when''' an element is available from some input and each input emits at least one element from stream start
*
* '''Completes when''' all upstreams complete (eagerClose=false) or one upstream completes (eagerClose=true)
*/
def mergeLatest(
that: Graph[SourceShape[Out], _],
eagerComplete: Boolean): javadsl.Flow[In, java.util.List[Out], Mat] =
new Flow(delegate.mergeLatest(that, eagerComplete).map(_.asJava))
/**
* MergeLatest joins elements from N input streams into stream of lists of size N.
* i-th element in list is the latest emitted element from i-th input stream.
* MergeLatest emits list for each element emitted from some input stream,
* but only after each input stream emitted at least one element.
*
* It is recommended to use the internally optimized `Keep.left` and `Keep.right` combiners
* where appropriate instead of manually writing functions that pass through one of the values.
*/
def mergeLatestMat[Mat2, Mat3](
that: Graph[SourceShape[Out], Mat2],
eagerComplete: Boolean,
matF: function.Function2[Mat, Mat2, Mat3]): javadsl.Flow[In, java.util.List[Out], Mat3] =
new Flow(delegate.mergeLatestMat(that, eagerComplete)(combinerToScala(matF))).map(_.asJava)
/**
* Merge two sources. Prefer one source if both sources have elements ready.
*
* '''emits''' when one of the inputs has an element available. If multiple have elements available, prefer the 'right' one when 'preferred' is 'true', or the 'left' one when 'preferred' is 'false'.
*
* '''backpressures''' when downstream backpressures
*
* '''completes''' when all upstreams complete (This behavior is changeable to completing when any upstream completes by setting `eagerComplete=true`.)
*/
def mergePreferred(
that: Graph[SourceShape[Out], _],
preferred: Boolean,
eagerComplete: Boolean): javadsl.Flow[In, Out, Mat] =
new Flow(delegate.mergePreferred(that, preferred, eagerComplete))
/**
* Merge two sources. Prefer one source if both sources have elements ready.
*
* It is recommended to use the internally optimized `Keep.left` and `Keep.right` combiners
* where appropriate instead of manually writing functions that pass through one of the values.
*/
def mergePreferredMat[Mat2, Mat3](
that: Graph[SourceShape[Out], Mat2],
preferred: Boolean,
eagerComplete: Boolean,
matF: function.Function2[Mat, Mat2, Mat3]): javadsl.Flow[In, Out, Mat3] =
new Flow(delegate.mergePreferredMat(that, preferred, eagerComplete)(combinerToScala(matF)))
/**
* Merge two sources. Prefer the sources depending on the 'priority' parameters.
*
* '''emits''' when one of the inputs has an element available, preferring inputs based on the 'priority' parameters if both have elements available
*
* '''backpressures''' when downstream backpressures
*
* '''completes''' when both upstreams complete (This behavior is changeable to completing when any upstream completes by setting `eagerComplete=true`.)
*/
def mergePrioritized(
that: Graph[SourceShape[Out], _],
leftPriority: Int,
rightPriority: Int,
eagerComplete: Boolean): javadsl.Flow[In, Out, Mat] =
new Flow(delegate.mergePrioritized(that, leftPriority, rightPriority, eagerComplete))
/**
* Merge two sources. Prefer the sources depending on the 'priority' parameters.
*
* It is recommended to use the internally optimized `Keep.left` and `Keep.right` combiners
* where appropriate instead of manually writing functions that pass through one of the values.
*/
def mergePrioritizedMat[Mat2, Mat3](
that: Graph[SourceShape[Out], Mat2],
leftPriority: Int,
rightPriority: Int,
eagerComplete: Boolean,
matF: function.Function2[Mat, Mat2, Mat3]): javadsl.Flow[In, Out, Mat3] =
new Flow(delegate.mergePrioritizedMat(that, leftPriority, rightPriority, eagerComplete)(combinerToScala(matF)))
/** /**
* Merge the given [[Source]] to this [[Flow]], taking elements as they arrive from input streams, * Merge the given [[Source]] to this [[Flow]], taking elements as they arrive from input streams,
* picking always the smallest of the available elements (waiting for one element from each side * picking always the smallest of the available elements (waiting for one element from each side

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@ -1091,6 +1091,98 @@ final class Source[Out, Mat](delegate: scaladsl.Source[Out, Mat]) extends Graph[
eagerComplete: Boolean): javadsl.Source[Out, M2] = eagerComplete: Boolean): javadsl.Source[Out, M2] =
new Source(delegate.mergeMat(that, eagerComplete)(combinerToScala(matF))) new Source(delegate.mergeMat(that, eagerComplete)(combinerToScala(matF)))
/**
* MergeLatest joins elements from N input streams into stream of lists of size N.
* i-th element in list is the latest emitted element from i-th input stream.
* MergeLatest emits list for each element emitted from some input stream,
* but only after each input stream emitted at least one element.
*
* '''Emits when''' an element is available from some input and each input emits at least one element from stream start
*
* '''Completes when''' all upstreams complete (eagerClose=false) or one upstream completes (eagerClose=true)
*/
def mergeLatest[M](
that: Graph[SourceShape[Out], M],
eagerComplete: Boolean): javadsl.Source[java.util.List[Out], Mat] =
new Source(delegate.mergeLatest(that, eagerComplete).map(_.asJava))
/**
* MergeLatest joins elements from N input streams into stream of lists of size N.
* i-th element in list is the latest emitted element from i-th input stream.
* MergeLatest emits list for each element emitted from some input stream,
* but only after each input stream emitted at least one element.
*
* @see [[#mergeLatest]].
*
* It is recommended to use the internally optimized `Keep.left` and `Keep.right` combiners
* where appropriate instead of manually writing functions that pass through one of the values.
*/
def mergeLatestMat[Mat2, Mat3](
that: Graph[SourceShape[Out], Mat2],
eagerComplete: Boolean,
matF: function.Function2[Mat, Mat2, Mat3]): javadsl.Source[java.util.List[Out], Mat3] =
new Source(delegate.mergeLatestMat(that, eagerComplete)(combinerToScala(matF))).map(_.asJava)
/**
* Merge two sources. Prefer one source if both sources have elements ready.
*
* '''emits''' when one of the inputs has an element available. If multiple have elements available, prefer the 'right' one when 'preferred' is 'true', or the 'left' one when 'preferred' is 'false'.
*
* '''backpressures''' when downstream backpressures
*
* '''completes''' when all upstreams complete (This behavior is changeable to completing when any upstream completes by setting `eagerComplete=true`.)
*/
def mergePreferred[M](
that: Graph[SourceShape[Out], M],
preferred: Boolean,
eagerComplete: Boolean): javadsl.Source[Out, Mat] =
new Source(delegate.mergePreferred(that, preferred, eagerComplete))
/**
* Merge two sources. Prefer one source if both sources have elements ready.
*
* @see [[#mergePreferred]]
*
* It is recommended to use the internally optimized `Keep.left` and `Keep.right` combiners
* where appropriate instead of manually writing functions that pass through one of the values.
*/
def mergePreferredMat[Mat2, Mat3](
that: Graph[SourceShape[Out], Mat2],
preferred: Boolean,
eagerComplete: Boolean,
matF: function.Function2[Mat, Mat2, Mat3]): javadsl.Source[Out, Mat3] =
new Source(delegate.mergePreferredMat(that, preferred, eagerComplete)(combinerToScala(matF)))
/**
* Merge two sources. Prefer the sources depending on the 'priority' parameters.
*
* '''emits''' when one of the inputs has an element available, preferring inputs based on the 'priority' parameters if both have elements available
*
* '''backpressures''' when downstream backpressures
*
* '''completes''' when both upstreams complete (This behavior is changeable to completing when any upstream completes by setting `eagerComplete=true`.)
*/
def mergePrioritized[M](
that: Graph[SourceShape[Out], M],
leftPriority: Int,
rightPriority: Int,
eagerComplete: Boolean): javadsl.Source[Out, Mat] =
new Source(delegate.mergePrioritized(that, leftPriority, rightPriority, eagerComplete))
/**
* Merge multiple sources. Prefer the sources depending on the 'priority' parameters.
*
* It is recommended to use the internally optimized `Keep.left` and `Keep.right` combiners
* where appropriate instead of manually writing functions that pass through one of the values.
*/
def mergePrioritizedMat[Mat2, Mat3](
that: Graph[SourceShape[Out], Mat2],
leftPriority: Int,
rightPriority: Int,
eagerComplete: Boolean,
matF: function.Function2[Mat, Mat2, Mat3]): javadsl.Source[Out, Mat3] =
new Source(delegate.mergePrioritizedMat(that, leftPriority, rightPriority, eagerComplete)(combinerToScala(matF)))
/** /**
* Merge the given [[Source]] to this [[Source]], taking elements as they arrive from input streams, * Merge the given [[Source]] to this [[Source]], taking elements as they arrive from input streams,
* picking always the smallest of the available elements (waiting for one element from each side * picking always the smallest of the available elements (waiting for one element from each side

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@ -1509,6 +1509,52 @@ class SubFlow[In, Out, Mat](
def interleave(that: Graph[SourceShape[Out], _], segmentSize: Int): SubFlow[In, Out, Mat] = def interleave(that: Graph[SourceShape[Out], _], segmentSize: Int): SubFlow[In, Out, Mat] =
new SubFlow(delegate.interleave(that, segmentSize)) new SubFlow(delegate.interleave(that, segmentSize))
/**
* MergeLatest joins elements from N input streams into stream of lists of size N.
* i-th element in list is the latest emitted element from i-th input stream.
* MergeLatest emits list for each element emitted from some input stream,
* but only after each input stream emitted at least one element.
*
* '''Emits when''' an element is available from some input and each input emits at least one element from stream start
*
* '''Completes when''' all upstreams complete (eagerClose=false) or one upstream completes (eagerClose=true)
*/
def mergeLatest[M](
that: Graph[SourceShape[Out], M],
eagerComplete: Boolean): javadsl.SubFlow[In, java.util.List[Out], Mat] =
new SubFlow(delegate.mergeLatest(that, eagerComplete).map(_.asJava))
/**
* Merge two sources. Prefer one source if both sources have elements ready.
*
* '''emits''' when one of the inputs has an element available. If multiple have elements available, prefer the 'right' one when 'preferred' is 'true', or the 'left' one when 'preferred' is 'false'.
*
* '''backpressures''' when downstream backpressures
*
* '''completes''' when all upstreams complete (This behavior is changeable to completing when any upstream completes by setting `eagerComplete=true`.)
*/
def mergePreferred[M](
that: Graph[SourceShape[Out], M],
preferred: Boolean,
eagerComplete: Boolean): javadsl.SubFlow[In, Out, Mat] =
new SubFlow(delegate.mergePreferred(that, preferred, eagerComplete))
/**
* Merge two sources. Prefer the sources depending on the 'priority' parameters.
*
* '''emits''' when one of the inputs has an element available, preferring inputs based on the 'priority' parameters if both have elements available
*
* '''backpressures''' when downstream backpressures
*
* '''completes''' when both upstreams complete (This behavior is changeable to completing when any upstream completes by setting `eagerComplete=true`.)
*/
def mergePrioritized[M](
that: Graph[SourceShape[Out], M],
leftPriority: Int,
rightPriority: Int,
eagerComplete: Boolean): javadsl.SubFlow[In, Out, Mat] =
new SubFlow(delegate.mergePrioritized(that, leftPriority, rightPriority, eagerComplete))
/** /**
* Merge the given [[Source]] to this [[Flow]], taking elements as they arrive from input streams, * Merge the given [[Source]] to this [[Flow]], taking elements as they arrive from input streams,
* picking always the smallest of the available elements (waiting for one element from each side * picking always the smallest of the available elements (waiting for one element from each side

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@ -1489,6 +1489,52 @@ class SubSource[Out, Mat](
def interleave(that: Graph[SourceShape[Out], _], segmentSize: Int): SubSource[Out, Mat] = def interleave(that: Graph[SourceShape[Out], _], segmentSize: Int): SubSource[Out, Mat] =
new SubSource(delegate.interleave(that, segmentSize)) new SubSource(delegate.interleave(that, segmentSize))
/**
* MergeLatest joins elements from N input streams into stream of lists of size N.
* i-th element in list is the latest emitted element from i-th input stream.
* MergeLatest emits list for each element emitted from some input stream,
* but only after each input stream emitted at least one element.
*
* '''Emits when''' an element is available from some input and each input emits at least one element from stream start
*
* '''Completes when''' all upstreams complete (eagerClose=false) or one upstream completes (eagerClose=true)
*/
def mergeLatest[M](
that: Graph[SourceShape[Out], M],
eagerComplete: Boolean): javadsl.SubSource[java.util.List[Out], Mat] =
new SubSource(delegate.mergeLatest(that, eagerComplete).map(_.asJava))
/**
* Merge two sources. Prefer one source if both sources have elements ready.
*
* '''emits''' when one of the inputs has an element available. If multiple have elements available, prefer the 'right' one when 'preferred' is 'true', or the 'left' one when 'preferred' is 'false'.
*
* '''backpressures''' when downstream backpressures
*
* '''completes''' when all upstreams complete (This behavior is changeable to completing when any upstream completes by setting `eagerComplete=true`.)
*/
def mergePreferred[M](
that: Graph[SourceShape[Out], M],
preferred: Boolean,
eagerComplete: Boolean): javadsl.SubSource[Out, Mat] =
new SubSource(delegate.mergePreferred(that, preferred, eagerComplete))
/**
* Merge two sources. Prefer the sources depending on the 'priority' parameters.
*
* '''emits''' when one of the inputs has an element available, preferring inputs based on the 'priority' parameters if both have elements available
*
* '''backpressures''' when downstream backpressures
*
* '''completes''' when both upstreams complete (This behavior is changeable to completing when any upstream completes by setting `eagerComplete=true`.)
*/
def mergePrioritized[M](
that: Graph[SourceShape[Out], M],
leftPriority: Int,
rightPriority: Int,
eagerComplete: Boolean): javadsl.SubSource[Out, Mat] =
new SubSource(delegate.mergePrioritized(that, leftPriority, rightPriority, eagerComplete))
/** /**
* Merge the given [[Source]] to this [[Source]], taking elements as they arrive from input streams, * Merge the given [[Source]] to this [[Source]], taking elements as they arrive from input streams,
* picking always the smallest of the available elements (waiting for one element from each side * picking always the smallest of the available elements (waiting for one element from each side

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@ -2631,6 +2631,80 @@ trait FlowOps[+Out, +Mat] {
FlowShape(merge.in(0), merge.out) FlowShape(merge.in(0), merge.out)
} }
/**
* MergeLatest joins elements from N input streams into stream of lists of size N.
* i-th element in list is the latest emitted element from i-th input stream.
* MergeLatest emits list for each element emitted from some input stream,
* but only after each input stream emitted at least one element.
*
* '''Emits when''' an element is available from some input and each input emits at least one element from stream start
*
* '''Completes when''' all upstreams complete (eagerClose=false) or one upstream completes (eagerClose=true)
*/
def mergeLatest[U >: Out, M](that: Graph[SourceShape[U], M], eagerComplete: Boolean = false): Repr[immutable.Seq[U]] =
via(mergeLatestGraph(that, eagerComplete))
protected def mergeLatestGraph[U >: Out, M](
that: Graph[SourceShape[U], M],
eagerComplete: Boolean): Graph[FlowShape[Out @uncheckedVariance, immutable.Seq[U]], M] =
GraphDSL.create(that) { implicit b => r =>
val merge = b.add(MergeLatest[U](2, eagerComplete))
r ~> merge.in(1)
FlowShape(merge.in(0), merge.out)
}
/**
* Merge two sources. Prefer one source if both sources have elements ready.
*
* '''emits''' when one of the inputs has an element available. If multiple have elements available, prefer the 'right' one when 'preferred' is 'true', or the 'left' one when 'preferred' is 'false'.
*
* '''backpressures''' when downstream backpressures
*
* '''completes''' when all upstreams complete (This behavior is changeable to completing when any upstream completes by setting `eagerComplete=true`.)
*/
def mergePreferred[U >: Out, M](
that: Graph[SourceShape[U], M],
priority: Boolean,
eagerComplete: Boolean = false): Repr[U] =
via(mergePreferredGraph(that, priority, eagerComplete))
protected def mergePreferredGraph[U >: Out, M](
that: Graph[SourceShape[U], M],
priority: Boolean,
eagerComplete: Boolean): Graph[FlowShape[Out @uncheckedVariance, U], M] =
GraphDSL.create(that) { implicit b => r =>
val merge = b.add(MergePreferred[U](1, eagerComplete))
r ~> merge.in(if (priority) 0 else 1)
FlowShape(merge.in(if (priority) 1 else 0), merge.out)
}
/**
* Merge two sources. Prefer the sources depending on the 'priority' parameters.
*
* '''emits''' when one of the inputs has an element available, preferring inputs based on the 'priority' parameters if both have elements available
*
* '''backpressures''' when downstream backpressures
*
* '''completes''' when both upstreams complete (This behavior is changeable to completing when any upstream completes by setting `eagerComplete=true`.)
*/
def mergePrioritized[U >: Out, M](
that: Graph[SourceShape[U], M],
leftPriority: Int,
rightPriority: Int,
eagerComplete: Boolean = false): Repr[U] =
via(mergePrioritizedGraph(that, leftPriority, rightPriority, eagerComplete))
protected def mergePrioritizedGraph[U >: Out, M](
that: Graph[SourceShape[U], M],
leftPriority: Int,
rightPriority: Int,
eagerComplete: Boolean): Graph[FlowShape[Out @uncheckedVariance, U], M] =
GraphDSL.create(that) { implicit b => r =>
val merge = b.add(MergePrioritized[U](Seq(leftPriority, rightPriority), eagerComplete))
r ~> merge.in(1)
FlowShape(merge.in(0), merge.out)
}
/** /**
* Merge the given [[Source]] to this [[Flow]], taking elements as they arrive from input streams, * Merge the given [[Source]] to this [[Flow]], taking elements as they arrive from input streams,
* picking always the smallest of the available elements (waiting for one element from each side * picking always the smallest of the available elements (waiting for one element from each side
@ -3055,6 +3129,48 @@ trait FlowOpsMat[+Out, +Mat] extends FlowOps[Out, Mat] {
matF: (Mat, Mat2) => Mat3): ReprMat[U, Mat3] = matF: (Mat, Mat2) => Mat3): ReprMat[U, Mat3] =
viaMat(interleaveGraph(that, request, eagerClose))(matF) viaMat(interleaveGraph(that, request, eagerClose))(matF)
/**
* MergeLatest joins elements from N input streams into stream of lists of size N.
* i-th element in list is the latest emitted element from i-th input stream.
* MergeLatest emits list for each element emitted from some input stream,
* but only after each input stream emitted at least one element.
*
* @see [[#mergeLatest]].
*
* It is recommended to use the internally optimized `Keep.left` and `Keep.right` combiners
* where appropriate instead of manually writing functions that pass through one of the values.
*/
def mergeLatestMat[U >: Out, Mat2, Mat3](that: Graph[SourceShape[U], Mat2], eagerClose: Boolean)(
matF: (Mat, Mat2) => Mat3): ReprMat[immutable.Seq[U], Mat3] =
viaMat(mergeLatestGraph(that, eagerClose))(matF)
/**
* Merge two sources. Prefer one source if both sources have elements ready.
*
* @see [[#mergePreferred]]
*
* It is recommended to use the internally optimized `Keep.left` and `Keep.right` combiners
* where appropriate instead of manually writing functions that pass through one of the values.
*/
def mergePreferredMat[U >: Out, Mat2, Mat3](
that: Graph[SourceShape[U], Mat2],
preferred: Boolean,
eagerClose: Boolean)(matF: (Mat, Mat2) => Mat3): ReprMat[U, Mat3] =
viaMat(mergePreferredGraph(that, preferred, eagerClose))(matF)
/**
* Merge two sources. Prefer the sources depending on the 'priority' parameters.
*
* It is recommended to use the internally optimized `Keep.left` and `Keep.right` combiners
* where appropriate instead of manually writing functions that pass through one of the values.
*/
def mergePrioritizedMat[U >: Out, Mat2, Mat3](
that: Graph[SourceShape[U], Mat2],
leftPriority: Int,
rightPriority: Int,
eagerClose: Boolean)(matF: (Mat, Mat2) => Mat3): ReprMat[U, Mat3] =
viaMat(mergePrioritizedGraph(that, leftPriority, rightPriority, eagerClose))(matF)
/** /**
* Merge the given [[Source]] to this [[Flow]], taking elements as they arrive from input streams, * Merge the given [[Source]] to this [[Flow]], taking elements as they arrive from input streams,
* picking always the smallest of the available elements (waiting for one element from each side * picking always the smallest of the available elements (waiting for one element from each side