Class

ml.combust.mleap.executor

FlowConfig

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case class FlowConfig(idleTimeout: Option[FiniteDuration] = None, transformDelay: Option[FiniteDuration] = None, parallelism: Option[Parallelism] = None, throttle: Option[Throttle] = None) extends Product with Serializable

Specifies options for streams of transforms.

idleTimeout

timeout for stream inactivity

transformDelay

delay to add to transform operation

parallelism

parallelism of transforms

throttle

optionally throttle the stream

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Instance Constructors

  1. new FlowConfig(idleTimeout: Option[FiniteDuration] = None, transformDelay: Option[FiniteDuration] = None, parallelism: Option[Parallelism] = None, throttle: Option[Throttle] = None)

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    idleTimeout

    timeout for stream inactivity

    transformDelay

    delay to add to transform operation

    parallelism

    parallelism of transforms

    throttle

    optionally throttle the stream

Value Members

  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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def finalize(): Unit

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  8. final def getClass(): Class[_]

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  9. val idleTimeout: Option[FiniteDuration]

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    timeout for stream inactivity

  10. final def isInstanceOf[T0]: Boolean

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  11. final def ne(arg0: AnyRef): Boolean

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  12. final def notify(): Unit

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  13. final def notifyAll(): Unit

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  14. val parallelism: Option[Parallelism]

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    parallelism of transforms

  15. final def synchronized[T0](arg0: ⇒ T0): T0

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  16. val throttle: Option[Throttle]

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    optionally throttle the stream

  17. val transformDelay: Option[FiniteDuration]

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    delay to add to transform operation

  18. final def wait(): Unit

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  19. final def wait(arg0: Long, arg1: Int): Unit

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  20. final def wait(arg0: Long): Unit

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