Class RetryFlow$
- java.lang.Object
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- akka.stream.scaladsl.RetryFlow$
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public class RetryFlow$ extends java.lang.Object
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Field Summary
Fields Modifier and Type Field Description static RetryFlow$
MODULE$
Static reference to the singleton instance of this Scala object.
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Constructor Summary
Constructors Constructor Description RetryFlow$()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description <In,Out,Mat>
Flow<In,Out,Mat>withBackoff(scala.concurrent.duration.FiniteDuration minBackoff, scala.concurrent.duration.FiniteDuration maxBackoff, double randomFactor, int maxRetries, Flow<In,Out,Mat> flow, scala.Function2<In,Out,scala.Option<In>> decideRetry)
Allows retrying individual elements in the stream with an exponential backoff.<In,CtxIn,Out,CtxOut,Mat>
FlowWithContext<In,CtxIn,Out,CtxOut,Mat>withBackoffAndContext(scala.concurrent.duration.FiniteDuration minBackoff, scala.concurrent.duration.FiniteDuration maxBackoff, double randomFactor, int maxRetries, FlowWithContext<In,CtxIn,Out,CtxOut,Mat> flow, scala.Function2<scala.Tuple2<In,CtxIn>,scala.Tuple2<Out,CtxOut>,scala.Option<scala.Tuple2<In,CtxIn>>> decideRetry)
Allows retrying individual elements in the stream with an exponential backoff.
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Field Detail
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MODULE$
public static final RetryFlow$ MODULE$
Static reference to the singleton instance of this Scala object.
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Method Detail
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withBackoff
public <In,Out,Mat> Flow<In,Out,Mat> withBackoff(scala.concurrent.duration.FiniteDuration minBackoff, scala.concurrent.duration.FiniteDuration maxBackoff, double randomFactor, int maxRetries, Flow<In,Out,Mat> flow, scala.Function2<In,Out,scala.Option<In>> decideRetry)
Allows retrying individual elements in the stream with an exponential backoff.The retry condition is controlled by the
decideRetry
function. It takes the originally emitted element and the response emitted byflow
, and may return a request to be retried.The implementation of the
RetryFlow
requires thatflow
follows strict first-in-first-out and one-in-one-out semantics, i.e., theFlow
may neither filter elements, nor emit more than one element per incoming element. TheRetryFlow
will fail if two elements are emitted for one incoming element. Any sort of batching, grouping, or filtering will make it hang forever.Just one element will be emitted into the
flow
at any time. Let's say the flow is handling an element, either first-time executing some calculation, or retrying. The next element won't be emitted into the flow until the current element has been finished processing. By finished, it means either succeed the very first attempt, succeed after a few attempts, or get dropped after using upmaxRetries
retries.- Parameters:
minBackoff
- minimum duration to backoff between issuing retriesmaxBackoff
- maximum duration to backoff between issuing retriesrandomFactor
- adds jitter to the retry delay. Use 0 for no jittermaxRetries
- total number of allowed retries, when reached the last result will be emitted even if unsuccessfulflow
- a flow to retry elements fromdecideRetry
- retry condition decision function
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withBackoffAndContext
public <In,CtxIn,Out,CtxOut,Mat> FlowWithContext<In,CtxIn,Out,CtxOut,Mat> withBackoffAndContext(scala.concurrent.duration.FiniteDuration minBackoff, scala.concurrent.duration.FiniteDuration maxBackoff, double randomFactor, int maxRetries, FlowWithContext<In,CtxIn,Out,CtxOut,Mat> flow, scala.Function2<scala.Tuple2<In,CtxIn>,scala.Tuple2<Out,CtxOut>,scala.Option<scala.Tuple2<In,CtxIn>>> decideRetry)
Allows retrying individual elements in the stream with an exponential backoff.The retry condition is controlled by the
decideRetry
function. It takes the originally emitted element with its context, and the response emitted byflow
, and may return a request to be retried.The implementation of the
RetryFlow
requires thatflow
follows one-in-one-out semantics, theFlowWithContext
may not filter elements, nor emit more than one element per incoming element. TheRetryFlow
will fail if two elements are emitted from theflow
, it will be stuck "forever" if nothing is emitted. Just one element will be emitted into theflow
at any time. Theflow
needs to emit an element before the next will be emitted to it.The wrapped
flow
anddecideRetry
take the additional context parameters which can be a context, or used to control retrying with other information.- Parameters:
minBackoff
- minimum duration to backoff between issuing retriesmaxBackoff
- maximum duration to backoff between issuing retriesrandomFactor
- adds jitter to the retry delay. Use 0 for no jittermaxRetries
- total number of allowed retries, when reached the last result will be emitted even if unsuccessfulflow
- a flow with context to retry elements fromdecideRetry
- retry condition decision function
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