Class SupervisorStrategy

java.lang.Object
org.apache.pekko.actor.typed.SupervisorStrategy
Direct Known Subclasses:
BackoffSupervisorStrategy, RestartSupervisorStrategy

public abstract class SupervisorStrategy extends Object
Not for user extension
  • Constructor Details

    • SupervisorStrategy

      public SupervisorStrategy()
  • Method Details

    • resume

      public static 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)

    • restart

      public static 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)

    • stop

      public static SupervisorStrategy stop()
      Stop the actor
    • restartWithBackoff

      public static 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 (minBackoff + maxBackoff) / 2 the exponentially increased back-off timeout is reset. This can be overridden by explicitly setting resetBackoffAfter using withResetBackoffAfter on the returned strategy.

      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 BackoffSupervisorStrategy.withMaxRestarts(int)

      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.
    • restartWithBackoff

      public static BackoffSupervisorStrategy restartWithBackoff(Duration minBackoff, 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 (minBackoff + maxBackoff) / 2 the exponentially increased back-off timeout is reset. This can be overridden by explicitly setting resetBackoffAfter using withResetBackoffAfter on the returned strategy.

      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.
    • loggingEnabled

      public abstract boolean loggingEnabled()
    • logLevel

      public abstract org.slf4j.event.Level logLevel()
    • withLoggingEnabled

      public abstract SupervisorStrategy withLoggingEnabled(boolean enabled)
    • withLogLevel

      public abstract SupervisorStrategy withLogLevel(org.slf4j.event.Level level)