object AlwaysAsyncExecution extends ExecutionModel with Product with Serializable
ExecutionModel that specifies a run-loop should always do async execution of tasks, forking logical threads on each step.
- Source
- ExecutionModel.scala
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- ExecutionModel
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Value Members
- val batchedExecutionModulus: Int
Always equal to
recommendedBatchSize-1.Always equal to
recommendedBatchSize-1.Provided for convenience.
- Definition Classes
- AlwaysAsyncExecution → ExecutionModel
- def nextFrameIndex(current: Int): Int
Returns the next frame index in the run-loop.
Returns the next frame index in the run-loop.
For
AlwaysAsyncExecutionthis function always returns zero, signaling that the next cycle in the run-loop should always be async.- Definition Classes
- AlwaysAsyncExecution → ExecutionModel
- def productElementName(n: Int): String
- Definition Classes
- Product
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- val recommendedBatchSize: Int
The ExecutionModel.recommendedBatchSize for the SynchronousExecution type is set to one.
The ExecutionModel.recommendedBatchSize for the SynchronousExecution type is set to one.
- Definition Classes
- AlwaysAsyncExecution → ExecutionModel
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.