abstract class Pipe[I, +O] extends Serializable
Represents a factory for an input/output channel for broadcasting input to multiple subscribers.
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- Pipe.scala
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- new Pipe()
Abstract Value Members
- abstract def unicast: (Observer[I], Observable[O])
Returns an input/output pair that can be used to push input to a single subscriber.
Returns an input/output pair that can be used to push input to a single subscriber.
This means that the returned observable should be subscribed at most once, otherwise the behavior is undefined.
- See also
multicast for creating a safe observable that can be subscribed many times.
Concrete Value Members
- final def !=(arg0: Any): Boolean
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- def concurrent(strategy: Synchronous[I], producerType: ProducerSide)(implicit s: Scheduler): (Sync[I], Observable[O])
Returns an input/output pair with an input that can be used synchronously and concurrently (without back-pressure or multi-threading issues) to push signals to multiple subscribers.
Returns an input/output pair with an input that can be used synchronously and concurrently (without back-pressure or multi-threading issues) to push signals to multiple subscribers.
- strategy
is the OverflowStrategy used for the underlying multi-producer/single-consumer buffer
- producerType
specifies the ChannelType.ProducerSide, which configures the type of the producer, for performance optimization; can be multi producer (the default) or single producer
- def concurrent(strategy: Synchronous[I])(implicit s: Scheduler): (Sync[I], Observable[O])
Returns an input/output pair with an input that can be used synchronously and concurrently (without back-pressure or multi-threading issues) to push signals to multiple subscribers.
Returns an input/output pair with an input that can be used synchronously and concurrently (without back-pressure or multi-threading issues) to push signals to multiple subscribers.
- strategy
is the OverflowStrategy used for the underlying multi-producer/single-consumer buffer
- def concurrent(implicit s: Scheduler): (Sync[I], Observable[O])
Returns an input/output pair with an input that can be used synchronously and concurrently (without back-pressure or multi-threading issues) to push signals to multiple subscribers.
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- final def liftByOperator[B](op: Operator[O, B]): Pipe[I, B]
- def multicast(implicit s: Scheduler): (Observer[I], Observable[O])
Returns an input/output pair that can be used to push input to multiple subscribers.
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- final def transform[B](f: (Observable[O]) => Observable[B]): Pipe[I, B]
Transforms the source using the given transformer function.
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This is the API documentation for the Monix library.
Package Overview
monix.execution exposes lower level primitives for dealing with asynchronous execution:
Atomictypes, as alternative tojava.util.concurrent.atomicmonix.catnap exposes pure abstractions built on top of the Cats-Effect type classes:
monix.eval is for dealing with evaluation of results, thus exposing Task and Coeval.
monix.reactive exposes the
Observablepattern:Observableimplementationsmonix.tail exposes Iterant for purely functional pull based streaming:
BatchandBatchCursor, the alternatives to Scala'sIterableandIteratorrespectively that we are using within Iterant's encodingYou can control evaluation with type you choose - be it Task, Coeval, cats.effect.IO or your own as long as you provide correct cats-effect or cats typeclass instance.