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c

net.gonzberg.spark.async

AsyncMapDataset

final class AsyncMapDataset[A] extends Serializable

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Instance Constructors

  1. new AsyncMapDataset(dataset: Dataset[A])

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. implicit def asyncMap[B](op: (A) => B, batchSize: Int = 1)(implicit evidence: Encoder[B]): Dataset[B]

    Runs map over the Dataset in a threadpool, as a means to parallelize blocking IO, etc.

    Runs map over the Dataset in a threadpool, as a means to parallelize blocking IO, etc.

    B

    The result type of the map operation

    op

    The function to run

    batchSize

    The size of the threadpool (i.e. the amount of parallel execution within each executor core)

    returns

    A new Dataset, having applied op to all elements of this Dataset

  6. def clone(): AnyRef
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  9. def finalize(): Unit
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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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  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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