Packages

object Backoff

Implements various backoff strategies.

Strategies are defined by a Stream[Duration] and are intended for use with RetryFilter.apply and RetryPolicy.backoff to determine the duration after which a request is to be retried.

Note

All backoffs created by factory methods on this object are infinite. Use Stream.take to make them terminate.

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. def apply(start: Duration)(f: (Duration) ⇒ Duration): Stream[Duration]

    Create infinite backoffs that start with start and change by f.

    Create infinite backoffs that start with start and change by f.

    Note

    This is an exact version of Stream.iterate.

  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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    protected[java.lang]
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    @native() @throws( ... )
  7. def const(start: Duration): Stream[Duration]

    See constant for a Java friendly API

  8. def constant(start: Duration): Stream[Duration]

    Alias for const, which is a reserved word in Java

  9. def decorrelatedJittered(start: Duration, maximum: Duration): Stream[Duration]

    Create infinite backoffs that have jitter with a random distribution between start and 3 times the previously selected value, capped at maximum.

    Create infinite backoffs that have jitter with a random distribution between start and 3 times the previously selected value, capped at maximum.

    start

    must be greater than 0 and less than or equal to maximum.

    maximum

    must be greater than 0 and greater than or equal to start.

    See also

    exponentialJittered and equalJittered for alternative jittered approaches.

  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
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  11. def equalJittered(start: Duration, maximum: Duration): Stream[Duration]

    Create infinite backoffs that keep half of the exponential growth, and jitter between 0 and that amount.

    Create infinite backoffs that keep half of the exponential growth, and jitter between 0 and that amount.

    See also

    exponentialJittered and decorrelatedJittered for alternative jittered approaches.

  12. def equals(arg0: Any): Boolean
    Definition Classes
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  13. def exponential(start: Duration, multiplier: Int, maximum: Duration): Stream[Duration]

    Create infinite backoffs that grow exponentially by multiplier, capped at maximum.

    Create infinite backoffs that grow exponentially by multiplier, capped at maximum.

    See also

    exponentialJittered for a version that incorporates jitter.

  14. def exponential(start: Duration, multiplier: Int): Stream[Duration]

    Create infinite backoffs that grow exponentially by multiplier.

    Create infinite backoffs that grow exponentially by multiplier.

    See also

    exponentialJittered for a version that incorporates jitter.

  15. def exponentialJittered(start: Duration, maximum: Duration): Stream[Duration]

    Create infinite backoffs that grow exponentially by 2, capped at maximum, with each backoff having jitter, or randomness, between 0 and the exponential backoff value.

    Create infinite backoffs that grow exponentially by 2, capped at maximum, with each backoff having jitter, or randomness, between 0 and the exponential backoff value.

    start

    must be greater than 0 and less than or equal to maximum.

    maximum

    must be greater than 0 and greater than or equal to start.

    See also

    decorrelatedJittered and equalJittered for alternative jittered approaches.

  16. def finalize(): Unit
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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  17. def fromFunction(f: () ⇒ Duration): Stream[Duration]

    Create infinite backoffs with values produced by a given generation function.

    Create infinite backoffs with values produced by a given generation function.

    Note

    This is an exact version of Stream.continually.

  18. final def getClass(): Class[_]
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    @native()
  19. def hashCode(): Int
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    @native()
  20. final def isInstanceOf[T0]: Boolean
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  21. def linear(start: Duration, offset: Duration, maximum: Duration): Stream[Duration]

    Create infinite backoffs that grow linear by offset, capped at maximum.

  22. def linear(start: Duration, offset: Duration): Stream[Duration]

    Create infinite backoffs that grow linear by offset.

  23. final def ne(arg0: AnyRef): Boolean
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  24. final def notify(): Unit
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    @native()
  25. final def notifyAll(): Unit
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    @native()
  26. final def synchronized[T0](arg0: ⇒ T0): T0
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  27. def toJava(backoffs: Stream[Duration]): Callable[Iterator[Duration]]

    Convert a Stream of Durations into a Java-friendly representation.

  28. def toString(): String
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  29. final def wait(): Unit
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    @throws( ... )
  30. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  31. final def wait(arg0: Long): Unit
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