com.twitter.scalding.reducer_estimation

InputScaledRuntimeReducerEstimator

trait InputScaledRuntimeReducerEstimator extends HistoryReducerEstimator

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  1. InputScaledRuntimeReducerEstimator
  2. HistoryReducerEstimator
  3. ReducerEstimator
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Abstract Value Members

  1. abstract def historyService: HistoryService

    Definition Classes
    HistoryReducerEstimator
  2. abstract def runtimeEstimationScheme: RuntimeEstimationScheme

Concrete Value Members

  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

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  9. def equals(arg0: Any): Boolean

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  10. def estimateReducers(info: FlowStrategyInfo, history: Seq[FlowStepHistory]): Option[Int]

  11. def estimateReducers(info: FlowStrategyInfo): Option[Int]

    Estimate how many reducers should be used.

    Estimate how many reducers should be used. Called for each FlowStep before it is scheduled. Custom reducer estimators should override this rather than apply() directly.

    info

    Holds information about the overall flow (.flow), previously-run steps (.predecessorSteps), and the current step (.step).

    returns

    Number of reducers recommended by the estimator, or None to keep the default.

    Definition Classes
    HistoryReducerEstimatorReducerEstimator
  12. def finalize(): Unit

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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Inherited from HistoryReducerEstimator

Inherited from ReducerEstimator

Inherited from AnyRef

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