org.hammerlab.magic.rdd.keyed

CappedGroupByKeyRDD

class CappedGroupByKeyRDD[K, V] extends AnyRef

Wrap an RDD and expose a cappedGroupByKey method, which behaves like org.apache.spark.rdd.PairRDDFunctions.groupByKey but with a cap on the number of values that will be accumulated for each key.

Takes the first values for each key, discarding the rest; to obtain a random sampling of the elements for each key, see SampleByKeyRDD.

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Instance Constructors

  1. new CappedGroupByKeyRDD(rdd: RDD[(K, V)])(implicit arg0: ClassTag[K], arg1: ClassTag[V])

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  1. final def !=(arg0: AnyRef): 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 cappedGroupByKey(maxPerKey: Int): RDD[(K, Vector[V])]

  8. def clone(): AnyRef

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  11. def finalize(): Unit

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

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

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  16. final def notify(): Unit

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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