org.apache.spark.sql.snappy

RDDExtensions

implicit class RDDExtensions[T] extends Serializable

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Instance Constructors

  1. new RDDExtensions(rdd: RDD[T])(implicit arg0: ClassTag[T])

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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  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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    @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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  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. def mapPartitionsPreserve[U](f: (Iterator[T]) ⇒ Iterator[U], preservesPartitioning: Boolean = false)(implicit arg0: ClassTag[U]): RDD[U]

    Return a new RDD by applying a function to each partition of given RDD.

    Return a new RDD by applying a function to each partition of given RDD.

    This variant also preserves the preferred locations of parent RDD.

    preservesPartitioning indicates whether the input function preserves the partitioner, which should be false unless this is a pair RDD and the input function doesn't modify the keys.

  15. def mapPartitionsPreserveWithIndex[U](f: (Int, Iterator[T]) ⇒ Iterator[U], preservesPartitioning: Boolean = false)(implicit arg0: ClassTag[U]): RDD[U]

    Return a new RDD by applying a function to each partition of given RDD, while tracking the index of the original partition.

    Return a new RDD by applying a function to each partition of given RDD, while tracking the index of the original partition.

    This variant also preserves the preferred locations of parent RDD.

    preservesPartitioning indicates whether the input function preserves the partitioner, which should be false unless this is a pair RDD and the input function doesn't modify the keys.

  16. def mapPreserve[U](f: (T) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

    Return a new RDD by applying a function to all elements of this RDD.

    Return a new RDD by applying a function to all elements of this RDD.

    This variant also preserves the preferred locations of parent RDD.

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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