com.twitter.scalding

ExecutionCounters

object ExecutionCounters

The companion gives several ways to create ExecutionCounters from other CascadingStats, JobStats, or Maps

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  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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  5. final def ==(arg0: Any): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
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    @throws( ... )

  8. def empty: ExecutionCounters

    This is the zero of the ExecutionCounter Monoid

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

    Attributes
    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  12. def fromCascading(cs: CascadingStats): ExecutionCounters

    Just gets the counters from the CascadingStats and ignores all the other fields present

  13. def fromJobStats(js: JobStats): ExecutionCounters

    Gets just the counters from the JobStats

  14. def fromMap(allValues: Map[StatKey, Long]): ExecutionCounters

    A Simple wrapper over a Map[StatKey, Long]

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

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  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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  18. implicit def monoid: Monoid[ExecutionCounters]

    This allows us to merge the results of two computations.

    This allows us to merge the results of two computations. It just does pointwise addition.

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

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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

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  23. def toString(): String

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  24. final def wait(): Unit

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    @throws( ... )

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

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

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