Class SupervisorStrategy$


  • public class SupervisorStrategy$
    extends java.lang.Object
    • Field Summary

      Fields 
      Modifier and Type Field Description
      static SupervisorStrategy$ MODULE$
      Static reference to the singleton instance of this Scala object.
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      RestartSupervisorStrategy restart()
      Restart immediately without any limit on number of restart retries.
      BackoffSupervisorStrategy restartWithBackoff​(java.time.Duration minBackoff, java.time.Duration maxBackoff, double randomFactor)
      Java API: It supports exponential back-off between the given minBackoff and maxBackoff durations.
      BackoffSupervisorStrategy restartWithBackoff​(scala.concurrent.duration.FiniteDuration minBackoff, scala.concurrent.duration.FiniteDuration maxBackoff, double randomFactor)
      Scala API: It supports exponential back-off between the given minBackoff and maxBackoff durations.
      SupervisorStrategy resume()
      Resume means keeping the same state as before the exception was thrown and is thus less safe than restart.
      SupervisorStrategy stop()
      Stop the actor
      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Field Detail

      • MODULE$

        public static final SupervisorStrategy$ MODULE$
        Static reference to the singleton instance of this Scala object.
    • Constructor Detail

      • SupervisorStrategy$

        public SupervisorStrategy$()
    • Method Detail

      • resume

        public SupervisorStrategy resume()
        Resume means keeping the same state as before the exception was thrown and is thus less safe than restart.

        If the actor behavior is deferred and throws an exception on startup the actor is stopped (restarting would be dangerous as it could lead to an infinite restart-loop)

        Returns:
        (undocumented)
      • restart

        public RestartSupervisorStrategy restart()
        Restart immediately without any limit on number of restart retries. A limit can be added with RestartSupervisorStrategy.withLimit.

        If the actor behavior is deferred and throws an exception on startup the actor is stopped (restarting would be dangerous as it could lead to an infinite restart-loop)

        Returns:
        (undocumented)
      • restartWithBackoff

        public BackoffSupervisorStrategy restartWithBackoff​(scala.concurrent.duration.FiniteDuration minBackoff,
                                                            scala.concurrent.duration.FiniteDuration maxBackoff,
                                                            double randomFactor)
        Scala API: It supports exponential back-off between the given minBackoff and maxBackoff durations. For example, if minBackoff is 3 seconds and maxBackoff 30 seconds the start attempts will be delayed with 3, 6, 12, 24, 30, 30 seconds. The exponential back-off counter is reset if the actor is not terminated within the minBackoff duration.

        In addition to the calculated exponential back-off an additional random delay based the given randomFactor is added, e.g. 0.2 adds up to 20% delay. The reason for adding a random delay is to avoid that all failing actors hit the backend resource at the same time.

        During the back-off incoming messages are dropped.

        If no new exception occurs within the minBackoff duration the exponentially increased back-off timeout is reset.

        The strategy is applied also if the actor behavior is deferred and throws an exception during startup.

        A maximum number of restarts can be specified with Backoff#withMaxRestarts

        Parameters:
        minBackoff - minimum (initial) duration until the child actor will started again, if it is terminated
        maxBackoff - the exponential back-off is capped to this duration
        randomFactor - after calculation of the exponential back-off an additional random delay based on this factor is added, e.g. 0.2 adds up to 20% delay. In order to skip this additional delay pass in 0.
        Returns:
        (undocumented)
      • restartWithBackoff

        public BackoffSupervisorStrategy restartWithBackoff​(java.time.Duration minBackoff,
                                                            java.time.Duration maxBackoff,
                                                            double randomFactor)
        Java API: It supports exponential back-off between the given minBackoff and maxBackoff durations. For example, if minBackoff is 3 seconds and maxBackoff 30 seconds the start attempts will be delayed with 3, 6, 12, 24, 30, 30 seconds. The exponential back-off counter is reset if the actor is not terminated within the minBackoff duration.

        In addition to the calculated exponential back-off an additional random delay based the given randomFactor is added, e.g. 0.2 adds up to 20% delay. The reason for adding a random delay is to avoid that all failing actors hit the backend resource at the same time.

        During the back-off incoming messages are dropped.

        If no new exception occurs within the minBackoff duration the exponentially increased back-off timeout is reset.

        The strategy is applied also if the actor behavior is deferred and throws an exception during startup.

        Parameters:
        minBackoff - minimum (initial) duration until the child actor will started again, if it is terminated
        maxBackoff - the exponential back-off is capped to this duration
        randomFactor - after calculation of the exponential back-off an additional random delay based on this factor is added, e.g. 0.2 adds up to 20% delay. In order to skip this additional delay pass in 0.
        Returns:
        (undocumented)