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trait Scheduler extends ExecutionContext with UncaughtExceptionReporter with Executor

A Scheduler is an scala.concurrent.ExecutionContext that additionally can schedule the execution of units of work to run with a delay or periodically.

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@implicitNotFound( ... )
Source
Scheduler.scala
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  1. Scheduler
  2. Executor
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Abstract Value Members

  1. abstract def clockMonotonic(unit: TimeUnit): Long

    Returns a monotonic clock measurement, if supported by the underlying platform.

    Returns a monotonic clock measurement, if supported by the underlying platform.

    This is the pure equivalent of Java's System.nanoTime, or of CLOCK_MONOTONIC from Linux's clock_gettime().

    timer.clockMonotonic(NANOSECONDS)

    The returned value can have nanoseconds resolution and represents the number of time units elapsed since some fixed but arbitrary origin time. Usually this is the Unix epoch, but that's not a guarantee, as due to the limits of Long this will overflow in the future (263 is about 292 years in nanoseconds) and the implementation reserves the right to change the origin.

    The return value should not be considered related to wall-clock time, the primary use-case being to take time measurements and compute differences between such values, for example in order to measure the time it took to execute a task.

    As a matter of implementation detail, Monix's Scheduler implementations use System.nanoTime and the JVM will use CLOCK_MONOTONIC when available, instead of CLOCK_REALTIME (see clock_gettime() on Linux) and it is up to the underlying platform to implement it correctly.

    And be warned, there are platforms that don't have a correct implementation of CLOCK_MONOTONIC. For example at the moment of writing there is no standard way for such a clock on top of JavaScript and the situation isn't so clear cut for the JVM either, see:

    The JVM tries to do the right thing and at worst the resolution and behavior will be that of System.currentTimeMillis.

    The recommendation is to use this monotonic clock when doing measurements of execution time, or if you value monotonically increasing values more than a correspondence to wall-time, or otherwise prefer clockRealTime.

  2. abstract def clockRealTime(unit: TimeUnit): Long

    Returns the current time, as a Unix timestamp (number of time units since the Unix epoch).

    Returns the current time, as a Unix timestamp (number of time units since the Unix epoch).

    This is the equivalent of Java's System.currentTimeMillis, or of CLOCK_REALTIME from Linux's clock_gettime().

    The provided TimeUnit determines the time unit of the output, its precision, but not necessarily its resolution, which is implementation dependent. For example this will return the number of milliseconds since the epoch:

    import scala.concurrent.duration.MILLISECONDS
    
    scheduler.clockRealTime(MILLISECONDS)

    N.B. the resolution is limited by the underlying implementation and by the underlying CPU and OS. If the implementation uses System.currentTimeMillis, then it can't have a better resolution than 1 millisecond, plus depending on underlying runtime (e.g. Node.js) it might return multiples of 10 milliseconds or more.

    See clockMonotonic, for fetching a monotonic value that may be better suited for doing time measurements.

  3. abstract def execute(command: Runnable): Unit

    Schedules the given command for execution at some time in the future.

    Schedules the given command for execution at some time in the future.

    The command may execute in a new thread, in a pooled thread, in the calling thread, basically at the discretion of the Scheduler implementation.

    Definition Classes
    Scheduler → Executor → ExecutionContext
  4. abstract def executionModel: ExecutionModel

    The ExecutionModel is a specification of how run-loops and producers should behave in regards to executing tasks either synchronously or asynchronously.

  5. abstract def reportFailure(t: Throwable): Unit

    Reports that an asynchronous computation failed.

    Reports that an asynchronous computation failed.

    Definition Classes
    SchedulerUncaughtExceptionReporter → ExecutionContext
  6. abstract def scheduleAtFixedRate(initialDelay: Long, period: Long, unit: TimeUnit, r: Runnable): Cancelable

    Schedules a periodic task that becomes enabled first after the given initial delay, and subsequently with the given period.

    Schedules a periodic task that becomes enabled first after the given initial delay, and subsequently with the given period. Executions will commence after initialDelay then initialDelay + period, then initialDelay + 2 * period and so on.

    If any execution of the task encounters an exception, subsequent executions are suppressed. Otherwise, the task will only terminate via cancellation or termination of the scheduler. If any execution of this task takes longer than its period, then subsequent executions may start late, but will not concurrently execute.

    For example the following schedules a message to be printed to standard output approximately every 10 seconds with an initial delay of 5 seconds:

    val task = scheduler.scheduleAtFixedRate(5, 10, TimeUnit.SECONDS, new Runnable {
      def run() = print("Repeated message")
    })
    
    // later if you change your mind ...
    task.cancel()
    initialDelay

    is the time to wait until the first execution happens

    period

    is the time to wait between 2 successive executions of the task

    unit

    is the time unit used for the initialDelay and the period parameters

    r

    is the callback to be executed

    returns

    a cancelable that can be used to cancel the execution of this repeated task at any time.

  7. abstract def scheduleOnce(initialDelay: Long, unit: TimeUnit, r: Runnable): Cancelable

    Schedules a task to run in the future, after initialDelay.

    Schedules a task to run in the future, after initialDelay.

    For example the following schedules a message to be printed to standard output after 5 minutes:

    val task = scheduler.scheduleOnce(5, TimeUnit.MINUTES, new Runnable {
      def run() = print("Hello, world!")
    })
    
    // later if you change your mind ...
    task.cancel()
    initialDelay

    is the time to wait until the execution happens

    unit

    is the time unit used for initialDelay

    r

    is the callback to be executed

    returns

    a Cancelable that can be used to cancel the created task before execution.

  8. abstract def scheduleWithFixedDelay(initialDelay: Long, delay: Long, unit: TimeUnit, r: Runnable): Cancelable

    Schedules for execution a periodic task that is first executed after the given initial delay and subsequently with the given delay between the termination of one execution and the commencement of the next.

    Schedules for execution a periodic task that is first executed after the given initial delay and subsequently with the given delay between the termination of one execution and the commencement of the next.

    For example the following schedules a message to be printed to standard output every 10 seconds with an initial delay of 5 seconds:

    val task = s.scheduleWithFixedDelay(5, 10, TimeUnit.SECONDS, new Runnable {
      def run() = print("Repeated message")
    })
    
    // later if you change your mind ...
    task.cancel()
    initialDelay

    is the time to wait until the first execution happens

    delay

    is the time to wait between 2 successive executions of the task

    unit

    is the time unit used for the initialDelay and the delay parameters

    r

    is the callback to be executed

    returns

    a cancelable that can be used to cancel the execution of this repeated task at any time.

  9. abstract def withExecutionModel(em: ExecutionModel): Scheduler

    Given a function that will receive the underlying ExecutionModel, returns a new Scheduler reference, based on the source, that exposes the transformed ExecutionModel when queried by means of the executionModel property.

    Given a function that will receive the underlying ExecutionModel, returns a new Scheduler reference, based on the source, that exposes the transformed ExecutionModel when queried by means of the executionModel property.

    This method enables reusing global scheduler references in a local scope, but with a slightly modified execution model to inject.

    The contract of this method (things you can rely on):

    1. the source Scheduler must not be modified in any way
    2. the implementation should wrap the source efficiently, such that the result mirrors the source Scheduler in every way except for the execution model

    Sample:

    import monix.execution.Scheduler.global
    
    implicit val scheduler = {
      val em = global.executionModel
      global.withExecutionModel(em.withAutoCancelableLoops(true))
    }

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  18. final def wait(arg0: Long, arg1: Int): Unit
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Deprecated Value Members

  1. def prepare(): ExecutionContext
    Definition Classes
    ExecutionContext
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    @deprecated
    Deprecated

    (Since version 2.12.0) preparation of ExecutionContexts will be removed

Inherited from Executor

Inherited from UncaughtExceptionReporter

Inherited from Serializable

Inherited from Serializable

Inherited from ExecutionContext

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