object CachedObservable extends Serializable
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- CachedObservable.scala
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- def create[A](observable: Observable[A], maxCapacity: Int): Observable[A]
Builder for CachedObservable
Builder for CachedObservable
- observable
- is the observable we are wrapping
- maxCapacity
- the buffer capacity, with old elements being dropped on overflow
- def create[A](observable: Observable[A]): Observable[A]
Builder for CachedObservable
Builder for CachedObservable
- observable
- is the observable we are wrapping
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- def create[A](observable: Observable[A], maxCapacity: Int): Observable[A]
Builder for CachedObservable
Builder for CachedObservable
- observable
- is the observable we are wrapping
- maxCapacity
- the buffer capacity, with old elements being dropped on overflow
- def create[A](observable: Observable[A]): Observable[A]
Builder for CachedObservable
Builder for CachedObservable
- observable
- is the observable we are wrapping
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- def finalize(): Unit
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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.