Trait

eventstore.pipeline

PipePair

Related Doc: package pipeline

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trait PipePair[CmdAbove, CmdBelow, EvtAbove, EvtBelow] extends AnyRef

Scala API: A pair of pipes, one for commands and one for events, plus a management port. Commands travel from top to bottom, events from bottom to top. All messages which need to be handled “in-order” (e.g. top-down or bottom-up) need to be either events or commands; management messages are processed in no particular order.

Java base classes are provided in the form of AbstractPipePair and AbstractSymmetricPipePair since the Scala function types can be awkward to handle in Java.

See also

PipePairFactory

AbstractSymmetricPipePair

AbstractPipePair

PipelineStage

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Type Members

  1. type Mgmt = PartialFunction[AnyRef, Iterable[Result]]

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  2. type Result = Either[EvtAbove, CmdBelow]

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Abstract Value Members

  1. abstract def commandPipeline: (CmdAbove) ⇒ Iterable[Result]

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    The command pipeline transforms injected commands from the upper stage into commands for the stage below, but it can also emit events for the upper stage.

    The command pipeline transforms injected commands from the upper stage into commands for the stage below, but it can also emit events for the upper stage. Any number of each can be generated.

  2. abstract def eventPipeline: (EvtBelow) ⇒ Iterable[Result]

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    The event pipeline transforms injected event from the lower stage into event for the stage above, but it can also emit commands for the stage below.

    The event pipeline transforms injected event from the lower stage into event for the stage above, but it can also emit commands for the stage below. Any number of each can be generated.

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  5. def clone(): AnyRef

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  8. def finalize(): Unit

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  11. final def isInstanceOf[T0]: Boolean

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  12. def managementPort: Mgmt

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    The management port allows sending broadcast messages to all stages within this pipeline.

    The management port allows sending broadcast messages to all stages within this pipeline. This can be used to communicate with stages in the middle without having to thread those messages through the surrounding stages. Each stage can generate events and commands in response to a command, and the aggregation of all those is returned.

    The default implementation ignores all management commands.

  13. final def ne(arg0: AnyRef): Boolean

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  18. final def wait(): Unit

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  19. final def wait(arg0: Long, arg1: Int): Unit

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  20. final def wait(arg0: Long): Unit

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