object BackoffOpts
Backoff options allow to specify a number of properties for backoff supervisors.
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- BackoffOptions.scala
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- def onFailure(childProps: Props, childName: String, minBackoff: Duration, maxBackoff: Duration, randomFactor: Double): BackoffOnFailureOptions
Java API: Back-off options for creating a back-off supervisor actor that expects a child actor to restart on failure.
Java API: Back-off options for creating a back-off supervisor actor that expects a child actor to restart on failure.
This explicit supervisor behaves similarly to the normal implicit supervision where if an actor throws an exception, the decider on the supervisor will decide when to
Stop
,Restart
,Escalate
,Resume
the child actor.When the
Restart
directive is specified, the supervisor will delay the restart using an exponential back off strategy (bounded by minBackoff and maxBackoff).This supervisor is intended to be transparent to both the child actor and external actors. Where external actors can send messages to the supervisor as if it was the child and the messages will be forwarded. And when the child is
Terminated
, the supervisor is alsoTerminated
. Transparent to the child means that the child does not have to be aware that it is being supervised specifically by this actor. Just like it does not need to know when it is being supervised by the usual implicit supervisors. The only caveat is that theActorRef
of the child is not stable, so any user storing thesender()
ActorRef
from the child response may eventually not be able to communicate with the storedActorRef
. In general all messages to the child should be directed through this actor.An example of where this supervisor might be used is when you may have an actor that is responsible for continuously polling on a server for some resource that sometimes may be down. Instead of hammering the server continuously when the resource is unavailable, the actor will be restarted with an exponentially increasing back off until the resource is available again.
*** This supervisor should not be used with
Pekko Persistence
child actors.Pekko Persistence
actors shutdown unconditionally onpersistFailure()
s rather than throw an exception on a failure like normal actors. #onStop should be used instead for cases where the child actor terminates itself as a failure signal instead of the normal behavior of throwing an exception. *** You can define another supervision strategy by usingorg.apache.pekko.pattern.BackoffOptions.withSupervisorStrategy
on pekko.pattern.BackoffOnFailureOptions.- childProps
the pekko.actor.Props of the child actor that will be started and supervised
- childName
name of the child actor
- 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 to20%
delay. In order to skip this additional delay pass in0
.
- def onFailure(childProps: Props, childName: String, minBackoff: FiniteDuration, maxBackoff: FiniteDuration, randomFactor: Double): BackoffOnFailureOptions
Back-off options for creating a back-off supervisor actor that expects a child actor to restart on failure.
Back-off options for creating a back-off supervisor actor that expects a child actor to restart on failure.
This explicit supervisor behaves similarly to the normal implicit supervision where if an actor throws an exception, the decider on the supervisor will decide when to
Stop
,Restart
,Escalate
,Resume
the child actor.When the
Restart
directive is specified, the supervisor will delay the restart using an exponential back off strategy (bounded by minBackoff and maxBackoff).This supervisor is intended to be transparent to both the child actor and external actors. Where external actors can send messages to the supervisor as if it was the child and the messages will be forwarded. And when the child is
Terminated
, the supervisor is alsoTerminated
. Transparent to the child means that the child does not have to be aware that it is being supervised specifically by this actor. Just like it does not need to know when it is being supervised by the usual implicit supervisors. The only caveat is that theActorRef
of the child is not stable, so any user storing thesender()
ActorRef
from the child response may eventually not be able to communicate with the storedActorRef
. In general all messages to the child should be directed through this actor.An example of where this supervisor might be used is when you may have an actor that is responsible for continuously polling on a server for some resource that sometimes may be down. Instead of hammering the server continuously when the resource is unavailable, the actor will be restarted with an exponentially increasing back off until the resource is available again.
*** This supervisor should not be used with
Pekko Persistence
child actors.Pekko Persistence
actors shutdown unconditionally onpersistFailure()
s rather than throw an exception on a failure like normal actors. #onStop should be used instead for cases where the child actor terminates itself as a failure signal instead of the normal behavior of throwing an exception. *** You can define another supervision strategy by usingorg.apache.pekko.pattern.BackoffOptions.withSupervisorStrategy
on pekko.pattern.BackoffOnFailureOptions.- childProps
the pekko.actor.Props of the child actor that will be started and supervised
- childName
name of the child actor
- 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 to20%
delay. In order to skip this additional delay pass in0
.
- def onStop(childProps: Props, childName: String, minBackoff: Duration, maxBackoff: Duration, randomFactor: Double): BackoffOnStopOptions
Java API: Back-off options for creating a back-off supervisor actor that expects a child actor to stop on failure.
Java API: Back-off options for creating a back-off supervisor actor that expects a child actor to stop on failure.
This actor can be used to supervise a child actor and start it again after a back-off duration if the child actor is stopped.
This is useful in situations where the re-start of the child actor should be delayed e.g. in order to give an external resource time to recover before the child actor tries contacting it again (after being restarted).
Specifically this pattern is useful for persistent actors, which are stopped in case of persistence failures. Just restarting them immediately would probably fail again (since the data store is probably unavailable). It is better to try again after a delay.
It supports exponential back-off between the given
minBackoff
andmaxBackoff
durations. For example, ifminBackoff
is 3 seconds andmaxBackoff
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 theminBackoff
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.You can retrieve the current child
ActorRef
by sendingBackoffSupervisor.GetCurrentChild
message to this actor and it will reply with pekko.pattern.BackoffSupervisor.CurrentChild containing theActorRef
of the current child, if any.The
BackoffSupervisor
delegates all messages from the child to the parent of theBackoffSupervisor
, with the supervisor as sender.The
BackoffSupervisor
forwards all other messages to the child, if it is currently running.The child can stop itself and send a pekko.actor.PoisonPill to the parent supervisor if it wants to do an intentional stop.
Exceptions in the child are handled with the default supervisionStrategy, which can be changed by using BackoffOnStopOptions#withSupervisorStrategy or BackoffOnStopOptions#withDefaultStoppingStrategy. A
Restart
will perform a normal immediate restart of the child. AStop
will stop the child, but it will be started again after the back-off duration.- childProps
the pekko.actor.Props of the child actor that will be started and supervised
- childName
name of the child actor
- 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 to20%
delay. In order to skip this additional delay pass in0
.
- def onStop(childProps: Props, childName: String, minBackoff: FiniteDuration, maxBackoff: FiniteDuration, randomFactor: Double): BackoffOnStopOptions
Back-off options for creating a back-off supervisor actor that expects a child actor to stop on failure.
Back-off options for creating a back-off supervisor actor that expects a child actor to stop on failure.
This actor can be used to supervise a child actor and start it again after a back-off duration if the child actor is stopped.
This is useful in situations where the re-start of the child actor should be delayed e.g. in order to give an external resource time to recover before the child actor tries contacting it again (after being restarted).
Specifically this pattern is useful for persistent actors, which are stopped in case of persistence failures. Just restarting them immediately would probably fail again (since the data store is probably unavailable). It is better to try again after a delay.
It supports exponential back-off between the given
minBackoff
andmaxBackoff
durations. For example, ifminBackoff
is 3 seconds andmaxBackoff
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 theminBackoff
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.You can retrieve the current child
ActorRef
by sendingBackoffSupervisor.GetCurrentChild
message to this actor and it will reply with pekko.pattern.BackoffSupervisor.CurrentChild containing theActorRef
of the current child, if any.The
BackoffSupervisor
delegates all messages from the child to the parent of theBackoffSupervisor
, with the supervisor as sender.The
BackoffSupervisor
forwards all other messages to the child, if it is currently running.The child can stop itself and send a pekko.actor.PoisonPill to the parent supervisor if it wants to do an intentional stop.
Exceptions in the child are handled with the default supervisionStrategy, which can be changed by using BackoffOnStopOptions#withSupervisorStrategy or BackoffOnStopOptions#withDefaultStoppingStrategy. A
Restart
will perform a normal immediate restart of the child. AStop
will stop the child, but it will be started again after the back-off duration.- childProps
the pekko.actor.Props of the child actor that will be started and supervised
- childName
name of the child actor
- 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 to20%
delay. In order to skip this additional delay pass in0
.
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