Class RestartSink


  • public class RestartSink
    extends java.lang.Object
    Wrap the given Sink with a Sink that will restart it when it fails or complete using an exponential backoff.

    This Sink will never cancel, since cancellation by the wrapped Sink is always handled by restarting it. The wrapped Sink can however be completed by feeding a completion or error into this Sink. When that happens, the Sink, if currently running, will terminate and will not be restarted. This can be triggered simply by the upstream completing, or externally by introducing a KillSwitch right before this Sink in the graph.

    The restart process is inherently lossy, since there is no coordination between cancelling and the sending of messages. When the wrapped Sink does cancel, this Sink will backpressure, however any elements already sent may have been lost.

    This uses the same exponential backoff algorithm as Backoff.

    param: minBackoff minimum (initial) duration until the child actor will started again, if it is terminated param: maxBackoff the exponential back-off is capped to this duration param: 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. param: sinkFactory A factory for producing the Sink to wrap.

    • Constructor Summary

      Constructors 
      Constructor Description
      RestartSink()  
    • Method Summary

      All Methods Static Methods Concrete Methods 
      Modifier and Type Method Description
      static <T> Sink<T,​NotUsed> withBackoff​(scala.concurrent.duration.FiniteDuration minBackoff, scala.concurrent.duration.FiniteDuration maxBackoff, double randomFactor, int maxRestarts, scala.Function0<Sink<T,​?>> sinkFactory)
      Wrap the given Sink with a Sink that will restart it when it fails or complete using an exponential backoff.
      static <T> Sink<T,​NotUsed> withBackoff​(scala.concurrent.duration.FiniteDuration minBackoff, scala.concurrent.duration.FiniteDuration maxBackoff, double randomFactor, scala.Function0<Sink<T,​?>> sinkFactory)  
      • Methods inherited from class java.lang.Object

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

      • RestartSink

        public RestartSink()
    • Method Detail

      • withBackoff

        public static <T> Sink<T,​NotUsed> withBackoff​(scala.concurrent.duration.FiniteDuration minBackoff,
                                                            scala.concurrent.duration.FiniteDuration maxBackoff,
                                                            double randomFactor,
                                                            scala.Function0<Sink<T,​?>> sinkFactory)
      • withBackoff

        public static <T> Sink<T,​NotUsed> withBackoff​(scala.concurrent.duration.FiniteDuration minBackoff,
                                                            scala.concurrent.duration.FiniteDuration maxBackoff,
                                                            double randomFactor,
                                                            int maxRestarts,
                                                            scala.Function0<Sink<T,​?>> sinkFactory)
        Wrap the given Sink with a Sink that will restart it when it fails or complete using an exponential backoff.

        This Sink will not cancel as long as maxRestarts is not reached, since cancellation by the wrapped Sink is handled by restarting it. The wrapped Sink can however be completed by feeding a completion or error into this Sink. When that happens, the Sink, if currently running, will terminate and will not be restarted. This can be triggered simply by the upstream completing, or externally by introducing a KillSwitch right before this Sink in the graph.

        The restart process is inherently lossy, since there is no coordination between cancelling and the sending of messages. When the wrapped Sink does cancel, this Sink will backpressure, however any elements already sent may have been lost.

        This uses the same exponential backoff algorithm as Backoff.

        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.
        maxRestarts - the amount of restarts is capped to this amount within a time frame of minBackoff. Passing 0 will cause no restarts and a negative number will not cap the amount of restarts.
        sinkFactory - A factory for producing the Sink to wrap.
        Returns:
        (undocumented)