object ConcurrentSubject extends Serializable
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- ConcurrentSubject.scala
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- def apply[A](multicast: MulticastStrategy[A], overflow: Synchronous[A])(implicit s: Scheduler): ConcurrentSubject[A, A]
- def apply[A](multicast: MulticastStrategy[A])(implicit s: Scheduler): ConcurrentSubject[A, A]
- final def asInstanceOf[T0]: T0
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- def async[A](implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building async subjects.
- def behavior[A](initial: A, strategy: Synchronous[A])(implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building behavior subjects.
Subject recipe for building behavior subjects.
- initial
the initial element to emit on subscribe, before the first
onNexthappens- strategy
the overflow strategy used for buffering, which specifies what to do in case we're dealing with slow consumers.
- def behavior[A](initial: A)(implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building behavior subjects.
Subject recipe for building behavior subjects.
- initial
the initial element to emit on subscribe, before the first
onNexthappens
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- def finalize(): Unit
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- @throws(classOf[java.lang.Throwable])
- def from[I, O](p: Subject[I, O], overflowStrategy: Synchronous[I], producerType: ProducerSide = MultiProducer)(implicit s: Scheduler): ConcurrentSubject[I, O]
Wraps any Subject into a ConcurrentSubject.
Wraps any Subject into a ConcurrentSubject.
- overflowStrategy
- the overflow strategy used for buffering, which specifies what to do in case we're dealing with slow consumers.
- producerType
(UNSAFE) is the monix.execution.ChannelType.ProducerSide configuration, can be either multi producer (the safe default) or single producer, which can be configured for optimization purposes.
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- final def notify(): Unit
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- final def notifyAll(): Unit
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- def publish[A](strategy: Synchronous[A])(implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building publish subjects.
Subject recipe for building publish subjects.
- strategy
- the overflow strategy used for buffering, which specifies what to do in case we're dealing with slow consumers.
- def publish[A](implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building publish subjects.
- def publishToOne[A](strategy: Synchronous[A])(implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building PublishToOneSubject.
Subject recipe for building PublishToOneSubject.
- strategy
- the overflow strategy used for buffering, which specifies what to do in case we're dealing with slow consumers.
- def publishToOne[A](implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building PublishToOneSubject.
- def replay[A](initial: Seq[A], strategy: Synchronous[A])(implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building replay subjects.
Subject recipe for building replay subjects.
- initial
is an initial sequence of elements that will be pushed to subscribers before any elements emitted by the source.
- strategy
the overflow strategy used for buffering, which specifies what to do in case we're dealing with slow consumers.
- def replay[A](initial: Seq[A])(implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building replay subjects.
Subject recipe for building replay subjects.
- initial
is an initial sequence of elements that will be pushed to subscribers before any elements emitted by the source.
- def replay[A](strategy: Synchronous[A])(implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building replay subjects.
Subject recipe for building replay subjects.
- strategy
the overflow strategy used for buffering, which specifies what to do in case we're dealing with slow consumers.
- def replay[A](implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building replay subjects.
- def replayLimited[A](capacity: Int, initial: Seq[A], strategy: Synchronous[A])(implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building replay subjects.
Subject recipe for building replay subjects. This variant creates a size-bounded replay subject.
In this setting, the replay subject with a maximum capacity for its internal buffer and discards the oldest item. The
capacitygiven is a guideline. The underlying implementation may decide to optimize it (e.g. use the next power of 2 greater or equal to the given value).- capacity
indicates the minimum capacity of the underlying buffer, with the implementation being free to increase it.
- initial
is an initial sequence of elements to prepopulate the buffer.
- strategy
the overflow strategy used for buffering, which specifies what to do in case we're dealing with slow consumers.
- def replayLimited[A](capacity: Int, initial: Seq[A])(implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building replay subjects.
Subject recipe for building replay subjects. This variant creates a size-bounded replay subject.
In this setting, the replay subject with a maximum capacity for its internal buffer and discards the oldest item. The
capacitygiven is a guideline. The underlying implementation may decide to optimize it (e.g. use the next power of 2 greater or equal to the given value).- capacity
indicates the minimum capacity of the underlying buffer, with the implementation being free to increase it.
- initial
is an initial sequence of elements to prepopulate the buffer.
- def replayLimited[A](capacity: Int, strategy: Synchronous[A])(implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building replay subjects.
Subject recipe for building replay subjects. This variant creates a size-bounded replay subject.
In this setting, the replay subject with a maximum capacity for its internal buffer and discards the oldest item. The
capacitygiven is a guideline. The underlying implementation may decide to optimize it (e.g. use the next power of 2 greater or equal to the given value).- capacity
indicates the minimum capacity of the underlying buffer, with the implementation being free to increase it.
- strategy
the overflow strategy used for buffering, which specifies what to do in case we're dealing with slow consumers.
- def replayLimited[A](capacity: Int)(implicit s: Scheduler): ConcurrentSubject[A, A]
Subject recipe for building replay subjects.
Subject recipe for building replay subjects. This variant creates a size-bounded replay subject.
In this setting, the replay subject with a maximum capacity for its internal buffer and discards the oldest item. The
capacitygiven is a guideline. The underlying implementation may decide to optimize it (e.g. use the next power of 2 greater or equal to the given value).- capacity
indicates the minimum capacity of the underlying buffer, with the implementation being free to increase it.
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
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- def toReactiveProcessor[I, O](source: ConcurrentSubject[I, O], bufferSize: Int)(implicit s: Scheduler): Processor[I, O]
Transforms the source ConcurrentSubject into a
org.reactivestreams.Processorinstance as defined by the Reactive Streams specification.Transforms the source ConcurrentSubject into a
org.reactivestreams.Processorinstance as defined by the Reactive Streams specification.- bufferSize
a strictly positive number, representing the size of the buffer used and the number of elements requested on each cycle when communicating demand, compliant with the reactive streams specification
- def toString(): String
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- final def wait(): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long, arg1: Int): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
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- @throws(classOf[java.lang.InterruptedException]) @native()
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.