Class

odkl.analysis.spark.util.RDDOperations

ImplicitRDDDecorator

Related Doc: package RDDOperations

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implicit class ImplicitRDDDecorator[T] extends Serializable

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Instance Constructors

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

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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 finalize(): Unit

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

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  10. def groupWithinPartitionsBy[K](expr: (T) ⇒ K)(implicit arg0: ClassTag[K]): RDD[(K, Iterator[T])]

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    Utility used to group data by key within RDD partitions by a key, assuming that RDD is already partitioned and sorted by key.

    Utility used to group data by key within RDD partitions by a key, assuming that RDD is already partitioned and sorted by key. The RDD data are processed sequentialy without shuffling and materializing them in memory.

    expr

    Expression to extract key from a value.

    returns

    RDD with key -> values.

  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. def mapPreserve[B](f: (T) ⇒ B)(implicit arg0: ClassTag[B]): RDD[B]

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    Maps RDD preserving partitioning

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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