Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/*
* Copyright (C) 2015-2020 Lightbend Inc.
*/
package akka.stream.javadsl
import akka.NotUsed
import akka.japi.function.Creator
import com.github.ghik.silencer.silent
import scala.concurrent.duration.FiniteDuration
/**
* 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.
*/
object RestartFlow {
/**
* 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 [[akka.pattern.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 flowFactory A factory for producing the [[Flow]] to wrap.
*/
@Deprecated
@deprecated("Use the overloaded one which accepts java.time.Duration instead.", since = "2.5.12")
def withBackoff[In, Out](
minBackoff: FiniteDuration,
maxBackoff: FiniteDuration,
randomFactor: Double,
flowFactory: Creator[Flow[In, Out, _]]): Flow[In, Out, NotUsed] = {
akka.stream.scaladsl.RestartFlow
.withBackoff(minBackoff, maxBackoff, randomFactor) { () =>
flowFactory.create().asScala
}
.asJava
}
/**
* 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 [[akka.pattern.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 flowFactory A factory for producing the [[Flow]] to wrap.
*/
@silent("deprecated")
def withBackoff[In, Out](
minBackoff: java.time.Duration,
maxBackoff: java.time.Duration,
randomFactor: Double,
flowFactory: Creator[Flow[In, Out, _]]): Flow[In, Out, NotUsed] = {
import akka.util.JavaDurationConverters._
withBackoff(minBackoff.asScala, maxBackoff.asScala, randomFactor, 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 [[akka.pattern.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 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.
* @param flowFactory A factory for producing the [[Flow]] to wrap.
*/
@Deprecated
@deprecated("Use the overloaded one which accepts java.time.Duration instead.", since = "2.5.12")
def withBackoff[In, Out](
minBackoff: FiniteDuration,
maxBackoff: FiniteDuration,
randomFactor: Double,
maxRestarts: Int,
flowFactory: Creator[Flow[In, Out, _]]): Flow[In, Out, NotUsed] = {
akka.stream.scaladsl.RestartFlow
.withBackoff(minBackoff, maxBackoff, randomFactor, maxRestarts) { () =>
flowFactory.create().asScala
}
.asJava
}
/**
* 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 [[akka.pattern.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 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.
* @param flowFactory A factory for producing the [[Flow]] to wrap.
*/
@silent("deprecated")
def withBackoff[In, Out](
minBackoff: java.time.Duration,
maxBackoff: java.time.Duration,
randomFactor: Double,
maxRestarts: Int,
flowFactory: Creator[Flow[In, Out, _]]): Flow[In, Out, NotUsed] = {
import akka.util.JavaDurationConverters._
withBackoff(minBackoff.asScala, maxBackoff.asScala, randomFactor, maxRestarts, 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 [[akka.pattern.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 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.
* @param flowFactory A factory for producing the [[Flow]] to wrap.
*/
@Deprecated
@deprecated("Use the overloaded one which accepts java.time.Duration instead.", since = "2.5.12")
def onFailuresWithBackoff[In, Out](
minBackoff: FiniteDuration,
maxBackoff: FiniteDuration,
randomFactor: Double,
maxRestarts: Int,
flowFactory: Creator[Flow[In, Out, _]]): Flow[In, Out, NotUsed] = {
akka.stream.scaladsl.RestartFlow
.onFailuresWithBackoff(minBackoff, maxBackoff, randomFactor, maxRestarts) { () =>
flowFactory.create().asScala
}
.asJava
}
/**
* 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 [[akka.pattern.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 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.
* @param flowFactory A factory for producing the [[Flow]] to wrap.
*/
@silent("deprecated")
def onFailuresWithBackoff[In, Out](
minBackoff: java.time.Duration,
maxBackoff: java.time.Duration,
randomFactor: Double,
maxRestarts: Int,
flowFactory: Creator[Flow[In, Out, _]]): Flow[In, Out, NotUsed] = {
import akka.util.JavaDurationConverters._
onFailuresWithBackoff(minBackoff.asScala, maxBackoff.asScala, randomFactor, maxRestarts, flowFactory)
}
}
