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object SParallelFlux

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. def apply[T](jParallelFlux: ParallelFlux[T]): SParallelFlux[T]
  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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  9. def finalize(): Unit
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  10. def from[T](source: Publisher[_ <: T], parallelism: Int = ..., prefetch: Int = Queues.SMALL_BUFFER_SIZE, queueSupplier: Supplier[Queue[T]] = Queues.small()): SParallelFlux[T]

    Take a Publisher and prepare to consume it on multiple 'rails' (one per CPU core) in a round-robin fashion.

    Take a Publisher and prepare to consume it on multiple 'rails' (one per CPU core) in a round-robin fashion.

    T

    the value type

    source

    the source Publisher

    parallelism

    the number of parallel rails

    prefetch

    the number of values to prefetch from the source

    queueSupplier

    the queue structure supplier to hold the prefetched values from the source until there is a rail ready to process it.

    returns

    the SParallelFlux instance

  11. def fromPublishers[T](publishers: Publisher[T]*): SParallelFlux[T]

    Wraps multiple Publishers into a SParallelFlux which runs them in parallel and unordered.

    Wraps multiple Publishers into a SParallelFlux which runs them in parallel and unordered.

    T

    the value type

    publishers

    the array of publishers

    returns

    the SParallelFlux instance

  12. final def getClass(): Class[_]
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  13. def hashCode(): Int
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  16. final def notify(): Unit
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  17. final def notifyAll(): Unit
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  18. final def synchronized[T0](arg0: ⇒ T0): T0
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  20. final def wait(): Unit
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  21. final def wait(arg0: Long, arg1: Int): Unit
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  22. final def wait(arg0: Long): Unit
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