Package org.apache.pekko.stream.javadsl

Class RestartFlow$

java.lang.Object

org.apache.pekko.stream.javadsl.RestartFlow$

public class RestartFlow$
extends java.lang.Object

A RestartFlow wraps a Flow that gets restarted when it completes or fails.

They are useful for graphs that need to run for longer than the Flow can necessarily guarantee it will, for example, for Flow streams that depend on a remote server that may crash or become partitioned. The RestartFlow ensures that the graph can continue running while the Flow restarts.

Field Summary

Fields

Modifier and Type	Field	Description
static RestartFlow$	MODULE$	Static reference to the singleton instance of this Scala object.

Constructor Summary

Constructors

Constructor	Description
RestartFlow$()

Method Summary

Modifier and Type	Method	Description
<In,Out> Flow<In,Out,NotUsed>	onFailuresWithBackoff(java.time.Duration minBackoff, java.time.Duration maxBackoff, double randomFactor, int maxRestarts, Creator<Flow<In,Out,?>> flowFactory)	Deprecated. Use the overloaded method which accepts org.apache.pekko.stream.RestartSettings instead.
<In,Out> Flow<In,Out,NotUsed>	onFailuresWithBackoff(RestartSettings settings, Creator<Flow<In,Out,?>> flowFactory)	Wrap the given Flow with a Flow that will restart only when it fails that restarts using an exponential backoff.
<In,Out> Flow<In,Out,NotUsed>	onFailuresWithBackoff(scala.concurrent.duration.FiniteDuration minBackoff, scala.concurrent.duration.FiniteDuration maxBackoff, double randomFactor, int maxRestarts, Creator<Flow<In,Out,?>> flowFactory)	Deprecated. Use the overloaded one which accepts java.time.Duration instead.
<In,Out> Flow<In,Out,NotUsed>	withBackoff(java.time.Duration minBackoff, java.time.Duration maxBackoff, double randomFactor, int maxRestarts, Creator<Flow<In,Out,?>> flowFactory)	Deprecated. Use the overloaded method which accepts org.apache.pekko.stream.RestartSettings instead.
<In,Out> Flow<In,Out,NotUsed>	withBackoff(java.time.Duration minBackoff, java.time.Duration maxBackoff, double randomFactor, Creator<Flow<In,Out,?>> flowFactory)	Deprecated. Use the overloaded method which accepts org.apache.pekko.stream.RestartSettings instead.
<In,Out> Flow<In,Out,NotUsed>	withBackoff(RestartSettings settings, Creator<Flow<In,Out,?>> flowFactory)	Wrap the given Flow with a Flow that will restart it when it fails or complete using an exponential backoff.
<In,Out> Flow<In,Out,NotUsed>	withBackoff(scala.concurrent.duration.FiniteDuration minBackoff, scala.concurrent.duration.FiniteDuration maxBackoff, double randomFactor, int maxRestarts, Creator<Flow<In,Out,?>> flowFactory)	Deprecated. Use the overloaded one which accepts java.time.Duration instead.
<In,Out> Flow<In,Out,NotUsed>	withBackoff(scala.concurrent.duration.FiniteDuration minBackoff, scala.concurrent.duration.FiniteDuration maxBackoff, double randomFactor, Creator<Flow<In,Out,?>> flowFactory)	Deprecated. Use the overloaded one which accepts java.time.Duration instead.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

MODULE$

public static final RestartFlow$ MODULE$

Static reference to the singleton instance of this Scala object.

Constructor Detail

RestartFlow$

public RestartFlow$()

Method Detail

withBackoff

public <In,Out> Flow<In,Out,NotUsed> withBackoff(scala.concurrent.duration.FiniteDuration minBackoff,
                                                                   scala.concurrent.duration.FiniteDuration maxBackoff,
                                                                   double randomFactor,
                                                                   Creator<Flow<In,Out,?>> flowFactory)

Deprecated.

Use the overloaded one which accepts java.time.Duration instead. Since Akka 2.5.12.

Wrap the given Flow with a Flow that will restart it when it fails or complete using an exponential backoff.

This Flow will not cancel, complete or emit a failure, until the opposite end of it has been cancelled or completed. Any termination by the Flow before that time will be handled by restarting it. Any termination signals sent to this Flow however will terminate the wrapped Flow, if it's running, and then the Flow will be allowed to terminate without being restarted.

The restart process is inherently lossy, since there is no coordination between cancelling and the sending of messages. A termination signal from either end of the wrapped Flow will cause the other end to be terminated, and any in transit messages will be lost. During backoff, this Flow will backpressure.

This uses the same exponential backoff algorithm as pekko.pattern.BackoffOpts.

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.

flowFactory - A factory for producing the Flow to wrap.

withBackoff

public <In,Out> Flow<In,Out,NotUsed> withBackoff(java.time.Duration minBackoff,
                                                                   java.time.Duration maxBackoff,
                                                                   double randomFactor,
                                                                   Creator<Flow<In,Out,?>> flowFactory)

Deprecated.

Use the overloaded method which accepts org.apache.pekko.stream.RestartSettings instead. Since Akka 2.6.10.

Wrap the given Flow with a Flow that will restart it when it fails or complete using an exponential backoff.

This Flow will not cancel, complete or emit a failure, until the opposite end of it has been cancelled or completed. Any termination by the Flow before that time will be handled by restarting it. Any termination signals sent to this Flow however will terminate the wrapped Flow, if it's running, and then the Flow will be allowed to terminate without being restarted.

The restart process is inherently lossy, since there is no coordination between cancelling and the sending of messages. A termination signal from either end of the wrapped Flow will cause the other end to be terminated, and any in transit messages will be lost. During backoff, this Flow will backpressure.

This uses the same exponential backoff algorithm as pekko.pattern.BackoffOpts.

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.

flowFactory - A factory for producing the Flow to wrap.

withBackoff

public <In,Out> Flow<In,Out,NotUsed> withBackoff(scala.concurrent.duration.FiniteDuration minBackoff,
                                                                   scala.concurrent.duration.FiniteDuration maxBackoff,
                                                                   double randomFactor,
                                                                   int maxRestarts,
                                                                   Creator<Flow<In,Out,?>> flowFactory)

Deprecated.

Use the overloaded one which accepts java.time.Duration instead. Since Akka 2.5.12.

Wrap the given Flow with a Flow that will restart it when it fails or complete using an exponential backoff.

This Flow will not cancel, complete or emit a failure, until the opposite end of it has been cancelled or completed. Any termination by the Flow before that time will be handled by restarting it as long as maxRestarts is not reached. Any termination signals sent to this Flow however will terminate the wrapped Flow, if it's running, and then the Flow will be allowed to terminate without being restarted.

The restart process is inherently lossy, since there is no coordination between cancelling and the sending of messages. A termination signal from either end of the wrapped Flow will cause the other end to be terminated, and any in transit messages will be lost. During backoff, this Flow will backpressure.

This uses the same exponential backoff algorithm as pekko.pattern.BackoffOpts.

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.

flowFactory - A factory for producing the Flow to wrap.

withBackoff

public <In,Out> Flow<In,Out,NotUsed> withBackoff(java.time.Duration minBackoff,
                                                                   java.time.Duration maxBackoff,
                                                                   double randomFactor,
                                                                   int maxRestarts,
                                                                   Creator<Flow<In,Out,?>> flowFactory)

Deprecated.

Use the overloaded method which accepts org.apache.pekko.stream.RestartSettings instead. Since Akka 2.6.10.

Wrap the given Flow with a Flow that will restart it when it fails or complete using an exponential backoff.

This Flow will not cancel, complete or emit a failure, until the opposite end of it has been cancelled or completed. Any termination by the Flow before that time will be handled by restarting it as long as maxRestarts is not reached. Any termination signals sent to this Flow however will terminate the wrapped Flow, if it's running, and then the Flow will be allowed to terminate without being restarted.

The restart process is inherently lossy, since there is no coordination between cancelling and the sending of messages. A termination signal from either end of the wrapped Flow will cause the other end to be terminated, and any in transit messages will be lost. During backoff, this Flow will backpressure.

This uses the same exponential backoff algorithm as pekko.pattern.BackoffOpts.

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.

flowFactory - A factory for producing the Flow to wrap.

withBackoff

public <In,Out> Flow<In,Out,NotUsed> withBackoff(RestartSettings settings,
                                                                   Creator<Flow<In,Out,?>> flowFactory)

Wrap the given Flow with a Flow that will restart it when it fails or complete using an exponential backoff.

This Flow will not cancel, complete or emit a failure, until the opposite end of it has been cancelled or completed. Any termination by the Flow before that time will be handled by restarting it as long as maxRestarts is not reached. Any termination signals sent to this Flow however will terminate the wrapped Flow, if it's running, and then the Flow will be allowed to terminate without being restarted.

The restart process is inherently lossy, since there is no coordination between cancelling and the sending of messages. A termination signal from either end of the wrapped Flow will cause the other end to be terminated, and any in transit messages will be lost. During backoff, this Flow will backpressure.

This uses the same exponential backoff algorithm as pekko.pattern.BackoffOpts.

Parameters:

settings - RestartSettings defining restart configuration

flowFactory - A factory for producing the Flow to wrap.

onFailuresWithBackoff

public <In,Out> Flow<In,Out,NotUsed> onFailuresWithBackoff(scala.concurrent.duration.FiniteDuration minBackoff,
                                                                             scala.concurrent.duration.FiniteDuration maxBackoff,
                                                                             double randomFactor,
                                                                             int maxRestarts,
                                                                             Creator<Flow<In,Out,?>> flowFactory)

Deprecated.

Use the overloaded one which accepts java.time.Duration instead. Since Akka 2.5.12.

Wrap the given Flow with a Flow that will restart only when it fails that restarts using an exponential backoff.

This new Flow will not emit failures. Any failure by the original Flow (the wrapped one) before that time will be handled by restarting it as long as maxRestarts is not reached. However, any termination signals, completion or cancellation sent to this Flow will terminate the wrapped Flow, if it's running, and then the Flow will be allowed to terminate without being restarted.

The restart process is inherently lossy, since there is no coordination between cancelling and the sending of messages. A termination signal from either end of the wrapped Flow will cause the other end to be terminated, and any in transit messages will be lost. During backoff, this Flow will backpressure.

This uses the same exponential backoff algorithm as pekko.pattern.BackoffOpts.

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.

flowFactory - A factory for producing the Flow to wrap.

onFailuresWithBackoff

public <In,Out> Flow<In,Out,NotUsed> onFailuresWithBackoff(java.time.Duration minBackoff,
                                                                             java.time.Duration maxBackoff,
                                                                             double randomFactor,
                                                                             int maxRestarts,
                                                                             Creator<Flow<In,Out,?>> flowFactory)

Deprecated.

Use the overloaded method which accepts org.apache.pekko.stream.RestartSettings instead. Since Akka 2.6.10.

Wrap the given Flow with a Flow that will restart only when it fails that restarts using an exponential backoff.

This new Flow will not emit failures. Any failure by the original Flow (the wrapped one) before that time will be handled by restarting it as long as maxRestarts is not reached. However, any termination signals, completion or cancellation sent to this Flow will terminate the wrapped Flow, if it's running, and then the Flow will be allowed to terminate without being restarted.

The restart process is inherently lossy, since there is no coordination between cancelling and the sending of messages. A termination signal from either end of the wrapped Flow will cause the other end to be terminated, and any in transit messages will be lost. During backoff, this Flow will backpressure.

This uses the same exponential backoff algorithm as pekko.pattern.BackoffOpts.

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.

flowFactory - A factory for producing the Flow to wrap.

onFailuresWithBackoff

public <In,Out> Flow<In,Out,NotUsed> onFailuresWithBackoff(RestartSettings settings,
                                                                             Creator<Flow<In,Out,?>> flowFactory)

Wrap the given Flow with a Flow that will restart only when it fails that restarts using an exponential backoff.

This new Flow will not emit failures. Any failure by the original Flow (the wrapped one) before that time will be handled by restarting it as long as maxRestarts is not reached. However, any termination signals, completion or cancellation sent to this Flow will terminate the wrapped Flow, if it's running, and then the Flow will be allowed to terminate without being restarted.

The restart process is inherently lossy, since there is no coordination between cancelling and the sending of messages. A termination signal from either end of the wrapped Flow will cause the other end to be terminated, and any in transit messages will be lost. During backoff, this Flow will backpressure.

This uses the same exponential backoff algorithm as pekko.pattern.BackoffOpts.

Parameters:

settings - RestartSettings defining restart configuration

flowFactory - A factory for producing the Flow to wrap.