Class/Object

com.twitter.scalding.reducer_estimation

InputSizeReducerEstimator

Related Docs: object InputSizeReducerEstimator | package reducer_estimation

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class InputSizeReducerEstimator extends ReducerEstimator

Estimator that uses the input size and a fixed "bytesPerReducer" target.

Bytes per reducer can be configured with configuration parameter, defaults to 4 GB.

Source
InputSizeReducerEstimator.scala
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ReducerEstimator, AnyRef, Any
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Instance Constructors

  1. new InputSizeReducerEstimator()

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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 equals(arg0: Any): Boolean

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

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    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
    InputSizeReducerEstimatorReducerEstimator
  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  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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Inherited from ReducerEstimator

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