Class

com.datastax.spark.connector

PairRDDFunctions

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class PairRDDFunctions[K, V] extends Serializable

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Instance Constructors

  1. new PairRDDFunctions(rdd: RDD[(K, 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 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 hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def spanByKey: RDD[(K, Seq[V])]

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    Groups items with the same key, assuming the items with the same key are next to each other in the collection.

    Groups items with the same key, assuming the items with the same key are next to each other in the collection. It does not perform shuffle, therefore it is much faster than using much more universal Spark RDD groupByKey. For this method to be useful with Cassandra tables, the key must represent a prefix of the primary key, containing at least the partition key of the Cassandra table.

  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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