com.twitter.summingbird.scalding.batch

BatchedService

object BatchedService extends Serializable

Source
BatchedService.scala
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Serializable, AnyRef, Any
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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

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

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

  11. def fromStoreAndDeltaSink[K, V](store: BatchedStore[K, V], sink: BatchedSink[(K, V)], reducerOption: Option[Int] = None)(implicit arg0: Semigroup[V]): BatchedDeltaService[K, V]

    If you write the output JUST BEFORE sumByKey, you can use it as a BatchedService Assumes the batcher is the same for both

  12. def fromStoreAndSink[K, V](store: BatchedStore[K, V], sink: BatchedSink[(K, Option[V])], reducerOption: Option[Int] = None): BatchedService[K, V]

    If you write the output of a sumByKey, you can use it as a BatchedService Assumes the batcher is the same for both

  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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    @throws( ... )

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

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    @throws( ... )

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

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