+str #19041 deterministic interleave operation
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4 changed files with 74 additions and 17 deletions
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@ -696,6 +696,33 @@ class SubSource[+Out, +Mat](delegate: scaladsl.SubFlow[Out, Mat, scaladsl.Source
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def merge[T >: Out](that: Graph[SourceShape[T], _]): SubSource[T, Mat] =
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new SubSource(delegate.merge(that))
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/**
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* Interleave is a deterministic merge of the given [[Source]] with elements of this [[Source]].
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* It first emits `segmentSize` number of elements from this flow to downstream, then - same amount for `that` source,
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* then repeat process.
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*
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* Example:
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* {{{
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* Source.from(Arrays.asList(1, 2, 3)).interleave(Source.from(Arrays.asList(4, 5, 6, 7), 2)
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* // 1, 2, 4, 5, 3, 6, 7
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* }}}
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*
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* After one of sources is complete than all the rest elements will be emitted from the second one
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*
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* If one of sources gets upstream error - stream completes with failure.
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*
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* '''Emits when''' element is available from the currently consumed upstream
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*
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* '''Backpressures when''' downstream backpressures. Signal to current
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* upstream, switch to next upstream when received `segmentSize` elements
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*
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* '''Completes when''' this [[Source]] and given one completes
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*
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* '''Cancels when''' downstream cancels
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*/
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def interleave[T >: Out](that: Graph[SourceShape[T], _], segmentSize: Int): SubSource[T, Mat] =
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new SubSource(delegate.interleave(that, segmentSize))
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/**
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* Combine the elements of current [[Flow]] and the given [[Source]] into a stream of tuples.
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*
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