Packages

  • package root

    This is the documentation for the Scala standard library.

    This is the documentation for the Scala standard library.

    Package structure

    The scala package contains core types like Int, Float, Array or Option which are accessible in all Scala compilation units without explicit qualification or imports.

    Notable packages include:

    Other packages exist. See the complete list on the right.

    Additional parts of the standard library are shipped as separate libraries. These include:

    • scala.reflect - Scala's reflection API (scala-reflect.jar)
    • scala.xml - XML parsing, manipulation, and serialization (scala-xml.jar)
    • scala.swing - A convenient wrapper around Java's GUI framework called Swing (scala-swing.jar)
    • scala.util.parsing - Parser combinators (scala-parser-combinators.jar)

    Automatic imports

    Identifiers in the scala package and the scala.Predef object are always in scope by default.

    Some of these identifiers are type aliases provided as shortcuts to commonly used classes. For example, List is an alias for scala.collection.immutable.List.

    Other aliases refer to classes provided by the underlying platform. For example, on the JVM, String is an alias for java.lang.String.

    Definition Classes
    root
  • package scala

    Core Scala types.

    Core Scala types. They are always available without an explicit import.

    Definition Classes
    root
  • package concurrent

    This package object contains primitives for concurrent and parallel programming.

    This package object contains primitives for concurrent and parallel programming.

    Guide

    A more detailed guide to Futures and Promises, including discussion and examples can be found at http://docs.scala-lang.org/overviews/core/futures.html.

    Common Imports

    When working with Futures, you will often find that importing the whole concurrent package is convenient:

    import scala.concurrent._

    When using things like Futures, it is often required to have an implicit ExecutionContext in scope. The general advice for these implicits are as follows.

    If the code in question is a class or method definition, and no ExecutionContext is available, request one from the caller by adding an implicit parameter list:

    def myMethod(myParam: MyType)(implicit ec: ExecutionContext) = …
//Or
class MyClass(myParam: MyType)(implicit ec: ExecutionContext) { … }

    This allows the caller of the method, or creator of the instance of the class, to decide which ExecutionContext should be used.

    For typical REPL usage and experimentation, importing the global ExecutionContext is often desired.

    import scala.concurrent.ExcutionContext.Implicits.global

    Specifying Durations

    Operations often require a duration to be specified. A duration DSL is available to make defining these easier:

    import scala.concurrent.duration._
val d: Duration = 10.seconds

    Using Futures For Non-blocking Computation

    Basic use of futures is easy with the factory method on Future, which executes a provided function asynchronously, handing you back a future result of that function without blocking the current thread. In order to create the Future you will need either an implicit or explicit ExecutionContext to be provided:

    import scala.concurrent._
import ExecutionContext.Implicits.global  // implicit execution context

val firstZebra: Future[Int] = Future {
  val source = scala.io.Source.fromFile("/etc/dictionaries-common/words")
  source.toSeq.indexOfSlice("zebra")
}

    Avoid Blocking

    Although blocking is possible in order to await results (with a mandatory timeout duration):

    import scala.concurrent.duration._
Await.result(firstZebra, 10.seconds)

    and although this is sometimes necessary to do, in particular for testing purposes, blocking in general is discouraged when working with Futures and concurrency in order to avoid potential deadlocks and improve performance. Instead, use callbacks or combinators to remain in the future domain:

    val animalRange: Future[Int] = for {
  aardvark <- firstAardvark
  zebra <- firstZebra
} yield zebra - aardvark

animalRange.onSuccess {
  case x if x > 500000 => println("It's a long way from Aardvark to Zebra")
}
    Definition Classes
    scala
  • package duration
    Definition Classes
    concurrent
  • package forkjoin
    Definition Classes
    concurrent
  • Await
  • Awaitable
  • BlockContext
  • CanAwait
  • Channel
  • DelayedLazyVal
  • ExecutionContext
  • ExecutionContextExecutor
  • ExecutionContextExecutorService
  • Future
  • JavaConversions
  • Lock
  • OnCompleteRunnable
  • Promise
  • SyncChannel
  • SyncVar

object ExecutionContext

Contains factory methods for creating execution contexts.

Source
ExecutionContext.scala
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Value Members

  1. def defaultReporter: (Throwable) ⇒ Unit

    The default reporter simply prints the stack trace of the Throwable to System.err.

    The default reporter simply prints the stack trace of the Throwable to System.err.

    returns

    the function for error reporting

  2. def fromExecutor(e: Executor): ExecutionContextExecutor

    Creates an ExecutionContext from the given Executor with the default reporter.

    Creates an ExecutionContext from the given Executor with the default reporter.

    e

    the Executor to use. If null, a new Executor is created with default configuration.

    returns

    the ExecutionContext using the given Executor

  3. def fromExecutor(e: Executor, reporter: (Throwable) ⇒ Unit): ExecutionContextExecutor

    Creates an ExecutionContext from the given Executor.

    Creates an ExecutionContext from the given Executor.

    e

    the Executor to use. If null, a new Executor is created with default configuration.

    reporter

    a function for error reporting

    returns

    the ExecutionContext using the given Executor

  4. def fromExecutorService(e: ExecutorService): ExecutionContextExecutorService

    Creates an ExecutionContext from the given ExecutorService with the default reporter.

    Creates an ExecutionContext from the given ExecutorService with the default reporter.

    If it is guaranteed that none of the executed tasks are blocking, a single-threaded ExecutorService can be used to create an ExecutionContext as follows:

    import java.util.concurrent.Executors
val ec = ExecutionContext.fromExecutorService(Executors.newSingleThreadExecutor())
    e

    the ExecutorService to use. If null, a new ExecutorService is created with default configuration.

    returns

    the ExecutionContext using the given ExecutorService

  5. def fromExecutorService(e: ExecutorService, reporter: (Throwable) ⇒ Unit): ExecutionContextExecutorService

    Creates an ExecutionContext from the given ExecutorService.

    Creates an ExecutionContext from the given ExecutorService.

    e

    the ExecutorService to use. If null, a new ExecutorService is created with default configuration.

    reporter

    a function for error reporting

    returns

    the ExecutionContext using the given ExecutorService

  6. def global: ExecutionContextExecutor

    The explicit global ExecutionContext.

    The explicit global ExecutionContext. Invoke global when you want to provide the global ExecutionContext explicitly.

    The default ExecutionContext implementation is backed by a work-stealing thread pool. It can be configured via the following scala.sys.SystemProperties:

    scala.concurrent.context.minThreads = defaults to "1" scala.concurrent.context.numThreads = defaults to "x1" (i.e. the current number of available processors * 1) scala.concurrent.context.maxThreads = defaults to "x1" (i.e. the current number of available processors * 1) scala.concurrent.context.maxExtraThreads = defaults to "256"

    The pool size of threads is then numThreads bounded by minThreads on the lower end and maxThreads on the high end.

    The maxExtraThreads is the maximum number of extra threads to have at any given time to evade deadlock, see scala.concurrent.BlockContext.

    returns

    the global ExecutionContext

  7. object Implicits