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org.hammerlab.magic.rdd.keyed

CappedGroupByKeyRDD

Related Docs: object CappedGroupByKeyRDD | package keyed

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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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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 cappedGroupByKey(maxPerKey: Int): RDD[(K, Vector[V])]

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  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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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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  17. def toString(): String

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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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