object Pipe extends Serializable
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- Pipe.scala
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- def apply[A](strategy: MulticastStrategy[A]): Pipe[A, A]
Given a MulticastStrategy returns the corresponding Pipe.
- final def asInstanceOf[T0]: T0
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- def async[A]: Pipe[A, A]
Subject recipe for building AsyncSubject instances.
- def behavior[A](initial: A): Pipe[A, A]
Subject recipe for building BehaviorSubject instances.
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- final def notifyAll(): Unit
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- def publish[A]: Pipe[A, A]
Subject recipe for building PublishSubject instances.
- def publishToOne[A]: Pipe[A, A]
Subject recipe for building PublishToOneSubject instances.
- def replay[A](initial: Seq[A]): Pipe[A, A]
Subject recipe for building unbounded ReplaySubject instances.
Subject recipe for building unbounded ReplaySubject instances.
- initial
is an initial sequence of elements that will be pushed to subscribers before any elements emitted by the source.
- def replay[A]: Pipe[A, A]
Subject recipe for building unbounded monix.reactive.subjects. instances.
- def replayLimited[A](capacity: Int, initial: Seq[A]): Pipe[A, A]
Subject recipe for building ReplaySubject instances with a maximum
capacity(after which old items start being dropped).Subject recipe for building ReplaySubject instances with a maximum
capacity(after which old items start being dropped).- capacity
indicates the minimum capacity of the underlying buffer, with the implementation being free to increase it.
- initial
is an initial sequence of elements that will be pushed to subscribers before any elements emitted by the source.
- def replayLimited[A](capacity: Int): Pipe[A, A]
Subject recipe for building ReplaySubject instances with a maximum
capacity(after which old items start being dropped).Subject recipe for building ReplaySubject instances with a maximum
capacity(after which old items start being dropped).- capacity
indicates the minimum capacity of the underlying buffer, with the implementation being free to increase it.
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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.