Class

com.datastax.spark.connector.rdd.partitioner

CassandraPartitionedRDD

Related Doc: package partitioner

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class CassandraPartitionedRDD[T] extends RDD[T]

RDD created by repartitionByCassandraReplica with preferred locations mapping to the CassandraReplicas each partition was created for.

Linear Supertypes
RDD[T], Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. CassandraPartitionedRDD
  2. RDD
  3. Logging
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
Implicitly
  1. by rddToPairRDDFunctions
  2. by numericRDDToDoubleRDDFunctions
  3. by doubleRDDToDoubleRDDFunctions
  4. by rddToOrderedRDDFunctions
  5. by rddToSequenceFileRDDFunctions
  6. by rddToAsyncRDDActions
  7. by toPairRDDFunctions
  8. by toRDDFunctions
  9. by any2stringadd
  10. by StringFormat
  11. by Ensuring
  12. by ArrowAssoc
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new CassandraPartitionedRDD(prev: RDD[T], keyspace: String, table: String)(implicit ct: ClassTag[T])

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. def +(other: String): String

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to any2stringadd[CassandraPartitionedRDD[T]] performed by method any2stringadd in scala.Predef.
    Definition Classes
    any2stringadd
  4. def ++(other: RDD[T]): RDD[T]

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    Definition Classes
    RDD
  5. def ->[B](y: B): (CassandraPartitionedRDD[T], B)

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to ArrowAssoc[CassandraPartitionedRDD[T]] performed by method ArrowAssoc in scala.Predef. This conversion will take place only if T is a superclass of Any and a subclass of (Nothing, Nothing) with Double (T >: Any <: (Nothing, Nothing) with Double).
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()
  6. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  7. def aggregate[U](zeroValue: U)(seqOp: (U, T) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): U

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    Definition Classes
    RDD
  8. def aggregateByKey[U](zeroValue: U)(seqOp: (U, V) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): RDD[(K, U)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  9. def aggregateByKey[U](zeroValue: U, numPartitions: Int)(seqOp: (U, V) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): RDD[(K, U)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  10. def aggregateByKey[U](zeroValue: U, partitioner: Partitioner)(seqOp: (U, V) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): RDD[(K, U)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  11. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  12. def cache(): CassandraPartitionedRDD.this.type

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    Definition Classes
    RDD
  13. def cartesian[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[(T, U)]

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    Definition Classes
    RDD
  14. def checkpoint(): Unit

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    Definition Classes
    RDD
  15. def clearDependencies(): Unit

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    Attributes
    protected
    Definition Classes
    RDD
  16. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  17. def coalesce(numPartitions: Int, shuffle: Boolean, partitionCoalescer: Option[PartitionCoalescer])(implicit ord: Ordering[T]): RDD[T]

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    Definition Classes
    RDD
  18. def cogroup[W1, W2, W3](other1: RDD[(K, W1)], other2: RDD[(K, W2)], other3: RDD[(K, W3)], numPartitions: Int): RDD[(K, (Iterable[V], Iterable[W1], Iterable[W2], Iterable[W3]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  19. def cogroup[W1, W2](other1: RDD[(K, W1)], other2: RDD[(K, W2)], numPartitions: Int): RDD[(K, (Iterable[V], Iterable[W1], Iterable[W2]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  20. def cogroup[W](other: RDD[(K, W)], numPartitions: Int): RDD[(K, (Iterable[V], Iterable[W]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  21. def cogroup[W1, W2](other1: RDD[(K, W1)], other2: RDD[(K, W2)]): RDD[(K, (Iterable[V], Iterable[W1], Iterable[W2]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  22. def cogroup[W](other: RDD[(K, W)]): RDD[(K, (Iterable[V], Iterable[W]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  23. def cogroup[W1, W2, W3](other1: RDD[(K, W1)], other2: RDD[(K, W2)], other3: RDD[(K, W3)]): RDD[(K, (Iterable[V], Iterable[W1], Iterable[W2], Iterable[W3]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  24. def cogroup[W1, W2](other1: RDD[(K, W1)], other2: RDD[(K, W2)], partitioner: Partitioner): RDD[(K, (Iterable[V], Iterable[W1], Iterable[W2]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  25. def cogroup[W](other: RDD[(K, W)], partitioner: Partitioner): RDD[(K, (Iterable[V], Iterable[W]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  26. def cogroup[W1, W2, W3](other1: RDD[(K, W1)], other2: RDD[(K, W2)], other3: RDD[(K, W3)], partitioner: Partitioner): RDD[(K, (Iterable[V], Iterable[W1], Iterable[W2], Iterable[W3]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  27. def collect[U](f: PartialFunction[T, U])(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  28. def collect(): Array[T]

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    Definition Classes
    RDD
  29. def collectAsMap(): Map[K, V]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  30. def collectAsync(): FutureAction[Seq[T]]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to AsyncRDDActions[T] performed by method rddToAsyncRDDActions in org.apache.spark.rdd.RDD. This conversion will take place only if T is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (T: ClassTag).
    Definition Classes
    AsyncRDDActions
  31. def combineByKey[C](createCombiner: (V) ⇒ C, mergeValue: (C, V) ⇒ C, mergeCombiners: (C, C) ⇒ C): RDD[(K, C)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  32. def combineByKey[C](createCombiner: (V) ⇒ C, mergeValue: (C, V) ⇒ C, mergeCombiners: (C, C) ⇒ C, numPartitions: Int): RDD[(K, C)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  33. def combineByKey[C](createCombiner: (V) ⇒ C, mergeValue: (C, V) ⇒ C, mergeCombiners: (C, C) ⇒ C, partitioner: Partitioner, mapSideCombine: Boolean, serializer: Serializer): RDD[(K, C)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  34. def combineByKeyWithClassTag[C](createCombiner: (V) ⇒ C, mergeValue: (C, V) ⇒ C, mergeCombiners: (C, C) ⇒ C)(implicit ct: ClassTag[C]): RDD[(K, C)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
    Annotations
    @Experimental()
  35. def combineByKeyWithClassTag[C](createCombiner: (V) ⇒ C, mergeValue: (C, V) ⇒ C, mergeCombiners: (C, C) ⇒ C, numPartitions: Int)(implicit ct: ClassTag[C]): RDD[(K, C)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
    Annotations
    @Experimental()
  36. def combineByKeyWithClassTag[C](createCombiner: (V) ⇒ C, mergeValue: (C, V) ⇒ C, mergeCombiners: (C, C) ⇒ C, partitioner: Partitioner, mapSideCombine: Boolean, serializer: Serializer)(implicit ct: ClassTag[C]): RDD[(K, C)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
    Annotations
    @Experimental()
  37. def compute(split: Partition, context: TaskContext): Iterator[T]

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    Definition Classes
    CassandraPartitionedRDD → RDD
  38. def context: SparkContext

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    Definition Classes
    RDD
  39. def count(): Long

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    Definition Classes
    RDD
  40. def countApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]

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    Definition Classes
    RDD
  41. def countApproxDistinct(relativeSD: Double): Long

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    Definition Classes
    RDD
  42. def countApproxDistinct(p: Int, sp: Int): Long

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    Definition Classes
    RDD
  43. def countApproxDistinctByKey(relativeSD: Double): RDD[(K, Long)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  44. def countApproxDistinctByKey(relativeSD: Double, numPartitions: Int): RDD[(K, Long)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  45. def countApproxDistinctByKey(relativeSD: Double, partitioner: Partitioner): RDD[(K, Long)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  46. def countApproxDistinctByKey(p: Int, sp: Int, partitioner: Partitioner): RDD[(K, Long)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  47. def countAsync(): FutureAction[Long]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to AsyncRDDActions[T] performed by method rddToAsyncRDDActions in org.apache.spark.rdd.RDD. This conversion will take place only if T is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (T: ClassTag).
    Definition Classes
    AsyncRDDActions
  48. def countByKey(): Map[K, Long]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  49. def countByKeyApprox(timeout: Long, confidence: Double): PartialResult[Map[K, BoundedDouble]]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  50. def countByValue()(implicit ord: Ordering[T]): Map[T, Long]

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    Definition Classes
    RDD
  51. def countByValueApprox(timeout: Long, confidence: Double)(implicit ord: Ordering[T]): PartialResult[Map[T, BoundedDouble]]

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    Definition Classes
    RDD
  52. def deleteFromCassandra(keyspaceName: String, tableName: String, deleteColumns: ColumnSelector = SomeColumns(), keyColumns: ColumnSelector = PrimaryKeyColumns, writeConf: WriteConf = ...)(implicit connector: CassandraConnector = CassandraConnector(sparkContext), rwf: RowWriterFactory[T]): Unit

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    Delete data from Cassandra table, using data from the RDD as primary keys.

    Delete data from Cassandra table, using data from the RDD as primary keys. Uses the specified column names.

    keyspaceName

    the name of the Keyspace to use

    tableName

    the name of the Table to use

    deleteColumns

    The list of column names to delete, empty ColumnSelector means full row.

    keyColumns

    Primary key columns selector, Optional. All RDD primary columns columns will be checked by default

    writeConf

    additional configuration object allowing to set consistency level, batch size, etc.

    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to RDDFunctions[T] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctionsWritableToCassandra
    See also

    com.datastax.spark.connector.writer.WritableToCassandra

  53. final def dependencies: Seq[Dependency[_]]

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    Definition Classes
    RDD
  54. def distinct(): RDD[T]

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    Definition Classes
    RDD
  55. def distinct(numPartitions: Int)(implicit ord: Ordering[T]): RDD[T]

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    Definition Classes
    RDD
  56. def ensuring(cond: (CassandraPartitionedRDD[T]) ⇒ Boolean, msg: ⇒ Any): CassandraPartitionedRDD[T]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to Ensuring[CassandraPartitionedRDD[T]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  57. def ensuring(cond: (CassandraPartitionedRDD[T]) ⇒ Boolean): CassandraPartitionedRDD[T]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to Ensuring[CassandraPartitionedRDD[T]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  58. def ensuring(cond: Boolean, msg: ⇒ Any): CassandraPartitionedRDD[T]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to Ensuring[CassandraPartitionedRDD[T]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  59. def ensuring(cond: Boolean): CassandraPartitionedRDD[T]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to Ensuring[CassandraPartitionedRDD[T]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  60. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  61. def equals(arg0: Any): Boolean

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    AnyRef → Any
  62. def filter(f: (T) ⇒ Boolean): RDD[T]

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    Definition Classes
    RDD
  63. def filterByRange(lower: K, upper: K): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to OrderedRDDFunctions[K, V, (K, V)] performed by method rddToOrderedRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type Ordering[K] is in scope
    2. an implicit value of type ClassTag[K] is in scope
    3. an implicit value of type ClassTag[V] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
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  64. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  65. def first(): T

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    Definition Classes
    RDD
  66. def firstParent[U](implicit arg0: ClassTag[U]): RDD[U]

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    Attributes
    protected[org.apache.spark]
    Definition Classes
    RDD
  67. def flatMap[U](f: (T) ⇒ TraversableOnce[U])(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  68. def flatMapValues[U](f: (V) ⇒ TraversableOnce[U]): RDD[(K, U)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  69. def fold(zeroValue: T)(op: (T, T) ⇒ T): T

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    Definition Classes
    RDD
  70. def foldByKey(zeroValue: V)(func: (V, V) ⇒ V): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  71. def foldByKey(zeroValue: V, numPartitions: Int)(func: (V, V) ⇒ V): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  72. def foldByKey(zeroValue: V, partitioner: Partitioner)(func: (V, V) ⇒ V): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  73. def foreach(f: (T) ⇒ Unit): Unit

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    Definition Classes
    RDD
  74. def foreachAsync(f: (T) ⇒ Unit): FutureAction[Unit]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to AsyncRDDActions[T] performed by method rddToAsyncRDDActions in org.apache.spark.rdd.RDD. This conversion will take place only if T is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (T: ClassTag).
    Definition Classes
    AsyncRDDActions
  75. def foreachPartition(f: (Iterator[T]) ⇒ Unit): Unit

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    Definition Classes
    RDD
  76. def foreachPartitionAsync(f: (Iterator[T]) ⇒ Unit): FutureAction[Unit]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to AsyncRDDActions[T] performed by method rddToAsyncRDDActions in org.apache.spark.rdd.RDD. This conversion will take place only if T is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (T: ClassTag).
    Definition Classes
    AsyncRDDActions
  77. def formatted(fmtstr: String): String

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to StringFormat[CassandraPartitionedRDD[T]] performed by method StringFormat in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()
  78. def fullOuterJoin[W](other: RDD[(K, W)], numPartitions: Int): RDD[(K, (Option[V], Option[W]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  79. def fullOuterJoin[W](other: RDD[(K, W)]): RDD[(K, (Option[V], Option[W]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  80. def fullOuterJoin[W](other: RDD[(K, W)], partitioner: Partitioner): RDD[(K, (Option[V], Option[W]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  81. def getCheckpointFile: Option[String]

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    Definition Classes
    RDD
  82. final def getClass(): Class[_]

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    AnyRef → Any
  83. def getDependencies: Seq[Dependency[_]]

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    Attributes
    protected
    Definition Classes
    RDD
  84. final def getNumPartitions: Int

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    Definition Classes
    RDD
    Annotations
    @Since( "1.6.0" )
  85. def getPartitions: Array[Partition]

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    Definition Classes
    CassandraPartitionedRDD → RDD
  86. def getPreferredLocations(split: Partition): Seq[String]

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    Definition Classes
    CassandraPartitionedRDD → RDD
  87. def getStorageLevel: StorageLevel

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    Definition Classes
    RDD
  88. def glom(): RDD[Array[T]]

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    Definition Classes
    RDD
  89. def groupBy[K](f: (T) ⇒ K, p: Partitioner)(implicit kt: ClassTag[K], ord: Ordering[K]): RDD[(K, Iterable[T])]

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    Definition Classes
    RDD
  90. def groupBy[K](f: (T) ⇒ K, numPartitions: Int)(implicit kt: ClassTag[K]): RDD[(K, Iterable[T])]

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    Definition Classes
    RDD
  91. def groupBy[K](f: (T) ⇒ K)(implicit kt: ClassTag[K]): RDD[(K, Iterable[T])]

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    Definition Classes
    RDD
  92. def groupByKey(): RDD[(K, Iterable[V])]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  93. def groupByKey(numPartitions: Int): RDD[(K, Iterable[V])]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  94. def groupByKey(partitioner: Partitioner): RDD[(K, Iterable[V])]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  95. def groupWith[W1, W2, W3](other1: RDD[(K, W1)], other2: RDD[(K, W2)], other3: RDD[(K, W3)]): RDD[(K, (Iterable[V], Iterable[W1], Iterable[W2], Iterable[W3]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  96. def groupWith[W1, W2](other1: RDD[(K, W1)], other2: RDD[(K, W2)]): RDD[(K, (Iterable[V], Iterable[W1], Iterable[W2]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  97. def groupWith[W](other: RDD[(K, W)]): RDD[(K, (Iterable[V], Iterable[W]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  98. def hashCode(): Int

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    AnyRef → Any
  99. val id: Int

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    RDD
  100. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
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    Logging
  101. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    protected
    Definition Classes
    Logging
  102. def intersection(other: RDD[T], numPartitions: Int): RDD[T]

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    Definition Classes
    RDD
  103. def intersection(other: RDD[T], partitioner: Partitioner)(implicit ord: Ordering[T]): RDD[T]

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    Definition Classes
    RDD
  104. def intersection(other: RDD[T]): RDD[T]

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    RDD
  105. def isCheckpointed: Boolean

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    RDD
  106. def isEmpty(): Boolean

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    RDD
  107. final def isInstanceOf[T0]: Boolean

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  108. def isTraceEnabled(): Boolean

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    protected
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  109. final def iterator(split: Partition, context: TaskContext): Iterator[T]

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    Definition Classes
    RDD
  110. def join[W](other: RDD[(K, W)], numPartitions: Int): RDD[(K, (V, W))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  111. def join[W](other: RDD[(K, W)]): RDD[(K, (V, W))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  112. def join[W](other: RDD[(K, W)], partitioner: Partitioner): RDD[(K, (V, W))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  113. def joinWithCassandraTable[R](keyspaceName: String, tableName: String, selectedColumns: ColumnSelector = AllColumns, joinColumns: ColumnSelector = PartitionKeyColumns)(implicit connector: CassandraConnector = CassandraConnector(sparkContext), newType: ClassTag[R], rrf: RowReaderFactory[R], ev: ValidRDDType[R], currentType: ClassTag[T], rwf: RowWriterFactory[T]): CassandraJoinRDD[T, R]

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    Uses the data from RDD to join with a Cassandra table without retrieving the entire table.

    Uses the data from RDD to join with a Cassandra table without retrieving the entire table. Any RDD which can be used to saveToCassandra can be used to joinWithCassandra as well as any RDD which only specifies the partition Key of a Cassandra Table. This method executes single partition requests against the Cassandra Table and accepts the functional modifiers that a normal com.datastax.spark.connector.rdd.CassandraTableScanRDD takes.

    By default this method only uses the Partition Key for joining but any combination of columns which are acceptable to C* can be used in the join. Specify columns using joinColumns as a parameter or the on() method.

    Example With Prior Repartitioning:

    val source = sc.parallelize(keys).map(x => new KVRow(x))
    val repart = source.repartitionByCassandraReplica(keyspace, tableName, 10)
    val someCass = repart.joinWithCassandraTable(keyspace, tableName)

    Example Joining on Clustering Columns:

    val source = sc.parallelize(keys).map(x => (x, x * 100))
    val someCass = source.joinWithCassandraTable(keyspace, wideTable).on(SomeColumns("key", "group"))
    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to RDDFunctions[T] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  114. def keyBy[K](f: (T) ⇒ K): RDD[(K, T)]

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    Definition Classes
    RDD
  115. def keyByCassandraReplica(keyspaceName: String, tableName: String, partitionKeyMapper: ColumnSelector = PartitionKeyColumns)(implicit connector: CassandraConnector = CassandraConnector(sparkContext), currentType: ClassTag[T], rwf: RowWriterFactory[T]): RDD[(Set[InetAddress], T)]

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    Key every row in the RDD by with the IP Adresses of all of the Cassandra nodes which a contain a replica of the data specified by that row.

    Key every row in the RDD by with the IP Adresses of all of the Cassandra nodes which a contain a replica of the data specified by that row. The calling RDD must have rows that can be converted into the partition key of the given Cassandra Table.

    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to RDDFunctions[T] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  116. def keys: RDD[K]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  117. def leftJoinWithCassandraTable[R](keyspaceName: String, tableName: String, selectedColumns: ColumnSelector = AllColumns, joinColumns: ColumnSelector = PartitionKeyColumns)(implicit connector: CassandraConnector = CassandraConnector(sparkContext), newType: ClassTag[R], rrf: RowReaderFactory[R], ev: ValidRDDType[R], currentType: ClassTag[T], rwf: RowWriterFactory[T]): CassandraLeftJoinRDD[T, R]

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    Uses the data from RDD to left join with a Cassandra table without retrieving the entire table.

    Uses the data from RDD to left join with a Cassandra table without retrieving the entire table. Any RDD which can be used to saveToCassandra can be used to leftJoinWithCassandra as well as any RDD which only specifies the partition Key of a Cassandra Table. This method executes single partition requests against the Cassandra Table and accepts the functional modifiers that a normal com.datastax.spark.connector.rdd.CassandraTableScanRDD takes.

    By default this method only uses the Partition Key for joining but any combination of columns which are acceptable to C* can be used in the join. Specify columns using joinColumns as a parameter or the on() method.

    Example With Prior Repartitioning:

    val source = sc.parallelize(keys).map(x => new KVRow(x))
    val repart = source.repartitionByCassandraReplica(keyspace, tableName, 10)
    val someCass = repart.leftJoinWithCassandraTable(keyspace, tableName)

    Example Joining on Clustering Columns:

    val source = sc.parallelize(keys).map(x => (x, x * 100))
    val someCass = source.leftJoinWithCassandraTable(keyspace, wideTable).on(SomeColumns("key", "group"))
    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to RDDFunctions[T] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  118. def leftOuterJoin[W](other: RDD[(K, W)], numPartitions: Int): RDD[(K, (V, Option[W]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  119. def leftOuterJoin[W](other: RDD[(K, W)]): RDD[(K, (V, Option[W]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  120. def leftOuterJoin[W](other: RDD[(K, W)], partitioner: Partitioner): RDD[(K, (V, Option[W]))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  121. def localCheckpoint(): CassandraPartitionedRDD.this.type

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    Definition Classes
    RDD
  122. def log: Logger

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  123. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  124. def logDebug(msg: ⇒ String): Unit

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  125. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  126. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  127. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  128. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  129. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  130. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  131. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  132. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  133. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  134. def lookup(key: K): Seq[V]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  135. def map[U](f: (T) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  136. def mapPartitions[U](f: (Iterator[T]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  137. def mapPartitionsWithIndex[U](f: (Int, Iterator[T]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  138. def mapValues[U](f: (V) ⇒ U): RDD[(K, U)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  139. def max()(implicit ord: Ordering[T]): T

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    Definition Classes
    RDD
  140. def min()(implicit ord: Ordering[T]): T

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    Definition Classes
    RDD
  141. var name: String

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    Definition Classes
    RDD
  142. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  143. final def notify(): Unit

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    Definition Classes
    AnyRef
  144. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  145. def parent[U](j: Int)(implicit arg0: ClassTag[U]): RDD[U]

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    Attributes
    protected[org.apache.spark]
    Definition Classes
    RDD
  146. def partitionBy(partitioner: Partitioner): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  147. val partitioner: Option[Partitioner]

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    Definition Classes
    CassandraPartitionedRDD → RDD
  148. final def partitions: Array[Partition]

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    Definition Classes
    RDD
  149. def persist(): CassandraPartitionedRDD.this.type

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    Definition Classes
    RDD
  150. def persist(newLevel: StorageLevel): CassandraPartitionedRDD.this.type

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    Definition Classes
    RDD
  151. def pipe(command: Seq[String], env: Map[String, String], printPipeContext: ((String) ⇒ Unit) ⇒ Unit, printRDDElement: (T, (String) ⇒ Unit) ⇒ Unit, separateWorkingDir: Boolean, bufferSize: Int, encoding: String): RDD[String]

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    Definition Classes
    RDD
  152. def pipe(command: String, env: Map[String, String]): RDD[String]

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    Definition Classes
    RDD
  153. def pipe(command: String): RDD[String]

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    Definition Classes
    RDD
  154. final def preferredLocations(split: Partition): Seq[String]

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    Definition Classes
    RDD
  155. def randomSplit(weights: Array[Double], seed: Long): Array[RDD[T]]

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    Definition Classes
    RDD
  156. def reduce(f: (T, T) ⇒ T): T

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    Definition Classes
    RDD
  157. def reduceByKey(func: (V, V) ⇒ V): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  158. def reduceByKey(func: (V, V) ⇒ V, numPartitions: Int): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  159. def reduceByKey(partitioner: Partitioner, func: (V, V) ⇒ V): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  160. def reduceByKeyLocally(func: (V, V) ⇒ V): Map[K, V]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  161. def repartition(numPartitions: Int)(implicit ord: Ordering[T]): RDD[T]

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    Definition Classes
    RDD
  162. def repartitionAndSortWithinPartitions(partitioner: Partitioner): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to OrderedRDDFunctions[K, V, (K, V)] performed by method rddToOrderedRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type Ordering[K] is in scope
    2. an implicit value of type ClassTag[K] is in scope
    3. an implicit value of type ClassTag[V] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    OrderedRDDFunctions
  163. def repartitionByCassandraReplica(keyspaceName: String, tableName: String, partitionsPerHost: Int = 10, partitionKeyMapper: ColumnSelector = PartitionKeyColumns)(implicit connector: CassandraConnector = CassandraConnector(sparkContext), currentType: ClassTag[T], rwf: RowWriterFactory[T]): CassandraPartitionedRDD[T]

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    Repartitions the data (via a shuffle) based upon the replication of the given keyspaceName and tableName.

    Repartitions the data (via a shuffle) based upon the replication of the given keyspaceName and tableName. Calling this method before using joinWithCassandraTable will ensure that requests will be coordinator local. partitionsPerHost Controls the number of Spark Partitions that will be created in this repartitioning event. The calling RDD must have rows that can be converted into the partition key of the given Cassandra Table.

    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to RDDFunctions[T] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  164. def rightOuterJoin[W](other: RDD[(K, W)], numPartitions: Int): RDD[(K, (Option[V], W))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  165. def rightOuterJoin[W](other: RDD[(K, W)]): RDD[(K, (Option[V], W))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  166. def rightOuterJoin[W](other: RDD[(K, W)], partitioner: Partitioner): RDD[(K, (Option[V], W))]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  167. def sample(withReplacement: Boolean, fraction: Double, seed: Long): RDD[T]

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    Definition Classes
    RDD
  168. def sampleByKey(withReplacement: Boolean, fractions: Map[K, Double], seed: Long): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  169. def sampleByKeyExact(withReplacement: Boolean, fractions: Map[K, Double], seed: Long): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  170. def saveAsCassandraTable(keyspaceName: String, tableName: String, columns: ColumnSelector = AllColumns, writeConf: WriteConf = ...)(implicit connector: CassandraConnector = CassandraConnector(sparkContext), rwf: RowWriterFactory[T], columnMapper: ColumnMapper[T]): Unit

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    Saves the data from RDD to a new table with definition taken from the ColumnMapper for this class.

    Saves the data from RDD to a new table with definition taken from the ColumnMapper for this class.

    keyspaceName

    keyspace where to create a new table

    tableName

    name of the table to create; the table must not exist

    columns

    Selects the columns to save data to. Uses only the unique column names, and you must select at least all primary key columns. All other fields are discarded. Non-selected property/column names are left unchanged. This parameter does not affect table creation.

    writeConf

    additional configuration object allowing to set consistency level, batch size, etc.

    connector

    optional, implicit connector to Cassandra

    rwf

    factory for obtaining the row writer to be used to extract column values from items of the RDD

    columnMapper

    a column mapper determining the definition of the table

    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to RDDFunctions[T] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  171. def saveAsCassandraTableEx(table: TableDef, columns: ColumnSelector = AllColumns, writeConf: WriteConf = ...)(implicit connector: CassandraConnector = CassandraConnector(sparkContext), rwf: RowWriterFactory[T]): Unit

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    Saves the data from RDD to a new table defined by the given TableDef.

    Saves the data from RDD to a new table defined by the given TableDef.

    First it creates a new table with all columns from the TableDef and then it saves RDD content in the same way as saveToCassandra. The table must not exist prior to this call.

    table

    table definition used to create a new table

    columns

    Selects the columns to save data to. Uses only the unique column names, and you must select at least all primary key columns. All other fields are discarded. Non-selected property/column names are left unchanged. This parameter does not affect table creation.

    writeConf

    additional configuration object allowing to set consistency level, batch size, etc.

    connector

    optional, implicit connector to Cassandra

    rwf

    factory for obtaining the row writer to be used to extract column values from items of the RDD

    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to RDDFunctions[T] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  172. def saveAsHadoopDataset(conf: JobConf): Unit

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  173. def saveAsHadoopFile(path: String, keyClass: Class[_], valueClass: Class[_], outputFormatClass: Class[_ <: OutputFormat[_, _]], conf: JobConf, codec: Option[Class[_ <: CompressionCodec]]): Unit

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  174. def saveAsHadoopFile(path: String, keyClass: Class[_], valueClass: Class[_], outputFormatClass: Class[_ <: OutputFormat[_, _]], codec: Class[_ <: CompressionCodec]): Unit

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  175. def saveAsHadoopFile[F <: OutputFormat[K, V]](path: String, codec: Class[_ <: CompressionCodec])(implicit fm: ClassTag[F]): Unit

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  176. def saveAsHadoopFile[F <: OutputFormat[K, V]](path: String)(implicit fm: ClassTag[F]): Unit

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  177. def saveAsNewAPIHadoopDataset(conf: Configuration): Unit

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  178. def saveAsNewAPIHadoopFile(path: String, keyClass: Class[_], valueClass: Class[_], outputFormatClass: Class[_ <: OutputFormat[_, _]], conf: Configuration): Unit

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  179. def saveAsNewAPIHadoopFile[F <: OutputFormat[K, V]](path: String)(implicit fm: ClassTag[F]): Unit

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  180. def saveAsObjectFile(path: String): Unit

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    Definition Classes
    RDD
  181. def saveAsSequenceFile(path: String, codec: Option[Class[_ <: CompressionCodec]]): Unit

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to SequenceFileRDDFunctions[K, V] performed by method rddToSequenceFileRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type WritableFactory[K] is in scope
    4. an implicit value of type WritableFactory[V] is in scope
    5. T is (K, V) (T =:= (K, V))
    Definition Classes
    SequenceFileRDDFunctions
  182. def saveAsTextFile(path: String, codec: Class[_ <: CompressionCodec]): Unit

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    Definition Classes
    RDD
  183. def saveAsTextFile(path: String): Unit

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    Definition Classes
    RDD
  184. def saveToCassandra(keyspaceName: String, tableName: String, columns: ColumnSelector = AllColumns, writeConf: WriteConf = ...)(implicit connector: CassandraConnector = CassandraConnector(sparkContext), rwf: RowWriterFactory[T]): Unit

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    Saves the data from RDD to a Cassandra table.

    Saves the data from RDD to a Cassandra table. Uses the specified column names.

    keyspaceName

    the name of the Keyspace to use

    tableName

    the name of the Table to use

    writeConf

    additional configuration object allowing to set consistency level, batch size, etc.

    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to RDDFunctions[T] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctionsWritableToCassandra
    See also

    com.datastax.spark.connector.writer.WritableToCassandra

  185. def setName(_name: String): CassandraPartitionedRDD.this.type

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    Definition Classes
    RDD
  186. def sortBy[K](f: (T) ⇒ K, ascending: Boolean, numPartitions: Int)(implicit ord: Ordering[K], ctag: ClassTag[K]): RDD[T]

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    Definition Classes
    RDD
  187. def sortByKey(ascending: Boolean, numPartitions: Int): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to OrderedRDDFunctions[K, V, (K, V)] performed by method rddToOrderedRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type Ordering[K] is in scope
    2. an implicit value of type ClassTag[K] is in scope
    3. an implicit value of type ClassTag[V] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    OrderedRDDFunctions
  188. def spanBy[U](f: (T) ⇒ U): RDD[(U, Iterable[T])]

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    Applies a function to each item, and groups consecutive items having the same value together.

    Applies a function to each item, and groups consecutive items having the same value together. Contrary to groupBy, items from the same group must be already next to each other in the original collection. Works locally on each partition, so items from different partitions will never be placed in the same group.

    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to RDDFunctions[T] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  189. 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.

    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to PairRDDFunctions[K, V] performed by method toPairRDDFunctions in com.datastax.spark.connector. This conversion will take place only if T is (K, V) (T =:= (K, V)).
    Definition Classes
    PairRDDFunctions
  190. def sparkContext: SparkContext

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    Definition Classes
    RDD
  191. def subtract(other: RDD[T], p: Partitioner)(implicit ord: Ordering[T]): RDD[T]

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    Definition Classes
    RDD
  192. def subtract(other: RDD[T], numPartitions: Int): RDD[T]

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    Definition Classes
    RDD
  193. def subtract(other: RDD[T]): RDD[T]

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    Definition Classes
    RDD
  194. def subtractByKey[W](other: RDD[(K, W)], p: Partitioner)(implicit arg0: ClassTag[W]): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  195. def subtractByKey[W](other: RDD[(K, W)], numPartitions: Int)(implicit arg0: ClassTag[W]): RDD[(K, V)]

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  196. def subtractByKey[W](other: RDD[(K, W)])(implicit arg0: ClassTag[W]): RDD[(K, V)]

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
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  197. final def synchronized[T0](arg0: ⇒ T0): T0

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  198. def take(num: Int): Array[T]

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  199. def takeAsync(num: Int): FutureAction[Seq[T]]

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to AsyncRDDActions[T] performed by method rddToAsyncRDDActions in org.apache.spark.rdd.RDD. This conversion will take place only if T is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (T: ClassTag).
    Definition Classes
    AsyncRDDActions
  200. def takeOrdered(num: Int)(implicit ord: Ordering[T]): Array[T]

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    RDD
  201. def takeSample(withReplacement: Boolean, num: Int, seed: Long): Array[T]

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    RDD
  202. def toDebugString: String

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    RDD
  203. def toJavaRDD(): JavaRDD[T]

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    RDD
  204. def toLocalIterator: Iterator[T]

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    Definition Classes
    RDD
  205. def toString(): String

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    Definition Classes
    RDD → AnyRef → Any
  206. def top(num: Int)(implicit ord: Ordering[T]): Array[T]

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    Definition Classes
    RDD
  207. def treeAggregate[U](zeroValue: U)(seqOp: (U, T) ⇒ U, combOp: (U, U) ⇒ U, depth: Int)(implicit arg0: ClassTag[U]): U

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    Definition Classes
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  208. def treeReduce(f: (T, T) ⇒ T, depth: Int): T

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    Definition Classes
    RDD
  209. def union(other: RDD[T]): RDD[T]

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    RDD
  210. def unpersist(blocking: Boolean): CassandraPartitionedRDD.this.type

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    RDD
  211. def values: RDD[V]

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V] performed by method rddToPairRDDFunctions in org.apache.spark.rdd.RDD.
    This conversion will take place only if all of the following constraints are met:
    1. an implicit value of type ClassTag[K] is in scope
    2. an implicit value of type ClassTag[V] is in scope
    3. an implicit value of type Ordering[K] is in scope
    4. T is (K, V) (T =:= (K, V))
    Definition Classes
    PairRDDFunctions
  212. final def wait(): Unit

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    @throws( ... )
  213. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  214. final def wait(arg0: Long): Unit

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  215. def zip[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[(T, U)]

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    RDD
  216. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D])(f: (Iterator[T], Iterator[B], Iterator[C], Iterator[D]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[D], arg3: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  217. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D], preservesPartitioning: Boolean)(f: (Iterator[T], Iterator[B], Iterator[C], Iterator[D]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[D], arg3: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  218. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C])(f: (Iterator[T], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  219. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C], preservesPartitioning: Boolean)(f: (Iterator[T], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  220. def zipPartitions[B, V](rdd2: RDD[B])(f: (Iterator[T], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  221. def zipPartitions[B, V](rdd2: RDD[B], preservesPartitioning: Boolean)(f: (Iterator[T], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  222. def zipWithIndex(): RDD[(T, Long)]

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    Definition Classes
    RDD
  223. def zipWithUniqueId(): RDD[(T, Long)]

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    Definition Classes
    RDD
  224. def [B](y: B): (CassandraPartitionedRDD[T], B)

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    Implicit information
    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to ArrowAssoc[CassandraPartitionedRDD[T]] performed by method ArrowAssoc in scala.Predef. This conversion will take place only if T is a superclass of Any and a subclass of (Nothing, Nothing) with Double (T >: Any <: (Nothing, Nothing) with Double).
    Definition Classes
    ArrowAssoc

Shadowed Implicit Value Members

  1. def histogram(buckets: Array[Double], evenBuckets: Boolean): Array[Long]

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    Definition Classes
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  2. def histogram(bucketCount: Int): (Array[Double], Array[Long])

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is a numeric class, such as Int, Long, Float or Double (T: Numeric).
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    Definition Classes
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  3. def histogram(buckets: Array[Double], evenBuckets: Boolean): Array[Long]

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  4. def histogram(bucketCount: Int): (Array[Double], Array[Long])

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method doubleRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is Double (T =:= Double).
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  5. def mean(): Double

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  6. def mean(): Double

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  7. def meanApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is a numeric class, such as Int, Long, Float or Double (T: Numeric).
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  8. def meanApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]

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  9. def popStdev(): Double

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  10. def popStdev(): Double

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  11. def popVariance(): Double

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is a numeric class, such as Int, Long, Float or Double (T: Numeric).
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  12. def popVariance(): Double

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  13. def sampleStdev(): Double

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is a numeric class, such as Int, Long, Float or Double (T: Numeric).
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  14. def sampleStdev(): Double

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method doubleRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is Double (T =:= Double).
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  15. def sampleVariance(): Double

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is a numeric class, such as Int, Long, Float or Double (T: Numeric).
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  16. def sampleVariance(): Double

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  17. val sparkContext: SparkContext

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to RDDFunctions[T] performed by method toRDDFunctions in com.datastax.spark.connector.
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  18. def stats(): StatCounter

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is a numeric class, such as Int, Long, Float or Double (T: Numeric).
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  19. def stats(): StatCounter

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  20. def stdev(): Double

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is a numeric class, such as Int, Long, Float or Double (T: Numeric).
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  21. def stdev(): Double

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method doubleRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is Double (T =:= Double).
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  22. def sum(): Double

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is a numeric class, such as Int, Long, Float or Double (T: Numeric).
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  23. def sum(): Double

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method doubleRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is Double (T =:= Double).
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  24. def sumApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]

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    This member is added by an implicit conversion from CassandraPartitionedRDD[T] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if T is a numeric class, such as Int, Long, Float or Double (T: Numeric).
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  25. def sumApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]

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  26. def variance(): Double

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  27. def variance(): Double

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    Definition Classes
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Inherited from RDD[T]

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion rddToPairRDDFunctions from CassandraPartitionedRDD[T] to org.apache.spark.rdd.PairRDDFunctions[K, V]

Inherited by implicit conversion numericRDDToDoubleRDDFunctions from CassandraPartitionedRDD[T] to DoubleRDDFunctions

Inherited by implicit conversion doubleRDDToDoubleRDDFunctions from CassandraPartitionedRDD[T] to DoubleRDDFunctions

Inherited by implicit conversion rddToOrderedRDDFunctions from CassandraPartitionedRDD[T] to OrderedRDDFunctions[K, V, (K, V)]

Inherited by implicit conversion rddToSequenceFileRDDFunctions from CassandraPartitionedRDD[T] to SequenceFileRDDFunctions[K, V]

Inherited by implicit conversion rddToAsyncRDDActions from CassandraPartitionedRDD[T] to AsyncRDDActions[T]

Inherited by implicit conversion toPairRDDFunctions from CassandraPartitionedRDD[T] to PairRDDFunctions[K, V]

Inherited by implicit conversion toRDDFunctions from CassandraPartitionedRDD[T] to RDDFunctions[T]

Inherited by implicit conversion any2stringadd from CassandraPartitionedRDD[T] to any2stringadd[CassandraPartitionedRDD[T]]

Inherited by implicit conversion StringFormat from CassandraPartitionedRDD[T] to StringFormat[CassandraPartitionedRDD[T]]

Inherited by implicit conversion Ensuring from CassandraPartitionedRDD[T] to Ensuring[CassandraPartitionedRDD[T]]

Inherited by implicit conversion ArrowAssoc from CassandraPartitionedRDD[T] to ArrowAssoc[CassandraPartitionedRDD[T]]

Ungrouped