scalaz.concurrent

Future

trait Future[+A] extends AnyRef

Future is a trampolined computation producing an A that may include asynchronous steps. Like Trampoline, arbitrary monadic expressions involving map and flatMap are guaranteed to use constant stack space. But in addition, one may construct a Future from an asynchronous computation, represented as a function, listen: (A => Unit) => Unit, which registers a callback that will be invoked when the result becomes available. This makes Future useful as a concurrency primitive and as a control structure for wrapping callback-based APIs with a more straightforward, monadic API.

Unlike the Future implementation in scala 2.10, map and flatMap do NOT spawn new tasks and do not require an implicit ExecutionContext. Instead, map and flatMap merely add to the current (trampolined) continuation that will be run by the 'current' thread, unless explicitly forked via Future.fork or Future.apply. This means that Future achieves much better thread reuse than the 2.10 implementation and avoids needless thread pool submit cycles.

Future also differs from the scala 2.10 Future type in that it does not necessarily represent a _running_ computation. Instead, we reintroduce nondeterminism _explicitly_ using the functions of the scalaz.Nondeterminsm interface. This simplifies our implementation and makes code easier to reason about, since the order of effects and the points of nondeterminism are made fully explicit and do not depend on Scala's evaluation order.

IMPORTANT NOTE: Future does not include any error handling and should generally only be used as a building block by library writers who want to build on Future's capabilities but wish to design their own error handling strategy. See scalaz.concurrent.Task for a type that extends Future with proper error handling -- it is merely a wrapper for Future[Throwable \/ A] with a number of additional convenience functions.

Source
Future.scala
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  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  11. def flatMap[B](f: (A) ⇒ Future[B]): Future[B]

  12. final def getClass(): Class[_]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. def listen(cb: (A) ⇒ Free.Trampoline[Unit]): Unit

    Run this computation to obtain an A, then invoke the given callback.

    Run this computation to obtain an A, then invoke the given callback. Also see runAsync.

  16. def listenInterruptibly(cb: (A) ⇒ Free.Trampoline[Unit], cancel: AtomicBoolean): Unit

    Run this computation to obtain an A, so long as cancel remains false.

    Run this computation to obtain an A, so long as cancel remains false. Because of trampolining, we get frequent opportunities to cancel while stepping through the trampoline, so this should provide a fairly robust means of cancellation.

  17. def map[B](f: (A) ⇒ B): Future[B]

  18. final def ne(arg0: AnyRef): Boolean

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def run: A

    Run this Future and block awaiting its result.

  22. def runAsync(cb: (A) ⇒ Unit): Unit

    Run this Future, passing the result to the given callback once available.

    Run this Future, passing the result to the given callback once available. Any pure, non-asynchronous computation at the head of this Future will be forced in the calling thread. At the first Async encountered, control switches to whatever thread backs the Async and this function returns.

  23. def runAsyncInterruptibly(cb: (A) ⇒ Unit, cancel: AtomicBoolean): Unit

    Run this computation to obtain an A, so long as cancel remains false.

    Run this computation to obtain an A, so long as cancel remains false. Because of trampolining, we get frequent opportunities to cancel while stepping through the trampoline, this should provide a fairly robust means of cancellation.

  24. def start: Future[A]

    Begins running this Future and returns a new future that blocks waiting for the result.

    Begins running this Future and returns a new future that blocks waiting for the result. Note that this results

  25. final def step: Future[A]

    Evaluate this Future to a result, or another asynchronous computation.

    Evaluate this Future to a result, or another asynchronous computation. This has the effect of stripping off any 'pure' trampolined computation at the start of this Future.

    Annotations
    @tailrec()
  26. final def stepInterruptibly(cancel: AtomicBoolean): Future[A]

    Like step, but may be interrupted by setting cancel to true.

    Like step, but may be interrupted by setting cancel to true.

    Annotations
    @tailrec()
  27. final def synchronized[T0](arg0: ⇒ T0): T0

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  28. def timed(timeoutInMillis: Long): Future[\/[Throwable, A]]

    Returns a Future which returns a TimeoutException after timeoutInMillis, and attempts to cancel the running computation.

    Returns a Future which returns a TimeoutException after timeoutInMillis, and attempts to cancel the running computation. This implementation will not block the future's execution thread

  29. def toString(): String

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  30. final def wait(): Unit

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    @throws( ... )
  31. final def wait(arg0: Long, arg1: Int): Unit

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  32. final def wait(arg0: Long): Unit

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