com.datastax.spark.connector.rdd

CassandraJoinRDD

class CassandraJoinRDD[L, R] extends CassandraRDD[(L, R)] with CassandraTableRowReaderProvider[R]

An RDD that will do a selecting join between left RDD and the specified Cassandra Table This will perform individual selects to retrieve the rows from Cassandra and will take advantage of RDDs that have been partitioned with the com.datastax.spark.connector.rdd.partitioner.ReplicaPartitioner

L

item type on the left side of the join (any RDD)

R

item type on the right side of the join (fetched from Cassandra)

Linear Supertypes
CassandraTableRowReaderProvider[R], CassandraRDD[(L, R)], RDD[(L, R)], Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. CassandraJoinRDD
  2. CassandraTableRowReaderProvider
  3. CassandraRDD
  4. RDD
  5. Logging
  6. Serializable
  7. Serializable
  8. AnyRef
  9. Any
Implicitly
  1. by rddToPairRDDFunctions
  2. by numericRDDToDoubleRDDFunctions
  3. by rddToOrderedRDDFunctions
  4. by rddToSequenceFileRDDFunctions
  5. by rddToAsyncRDDActions
  6. by toPairRDDFunctions
  7. by toRDDFunctions
  8. by any2stringadd
  9. by any2stringfmt
  10. by any2ArrowAssoc
  11. by any2Ensuring
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Type Members

  1. type Self = CassandraJoinRDD[L, R]

    This is slightly different than Scala this.

    This is slightly different than Scala this.type. this.type is the unique singleton type of an object which is not compatible with other instances of the same type, so returning anything other than this is not really possible without lying to the compiler by explicit casts. Here SelfType is used to return a copy of the object - a different instance of the same type

    Definition Classes
    CassandraJoinRDDCassandraRDD

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

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

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to StringAdd performed by method any2stringadd in scala.Predef.
    Definition Classes
    StringAdd
  5. def ++(other: RDD[(L, R)]): RDD[(L, R)]

    Definition Classes
    RDD
  6. def ->[B](y: B): (CassandraJoinRDD[L, R], B)

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to ArrowAssoc[CassandraJoinRDD[L, R]] performed by method any2ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()
  7. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  8. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  9. def aggregate[U](zeroValue: U)(seqOp: (U, (L, R)) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): U

    Definition Classes
    RDD
  10. def aggregateByKey[U](zeroValue: U)(seqOp: (U, R) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): RDD[(L, U)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  11. def aggregateByKey[U](zeroValue: U, numPartitions: Int)(seqOp: (U, R) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): RDD[(L, U)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  12. def aggregateByKey[U](zeroValue: U, partitioner: Partitioner)(seqOp: (U, R) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): RDD[(L, U)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  13. def as[B, A0, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11](f: (A0, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0], arg2: TypeConverter[A1], arg3: TypeConverter[A2], arg4: TypeConverter[A3], arg5: TypeConverter[A4], arg6: TypeConverter[A5], arg7: TypeConverter[A6], arg8: TypeConverter[A7], arg9: TypeConverter[A8], arg10: TypeConverter[A9], arg11: TypeConverter[A10], arg12: TypeConverter[A11]): CassandraRDD[B]

    Definition Classes
    CassandraRDD
  14. def as[B, A0, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10](f: (A0, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0], arg2: TypeConverter[A1], arg3: TypeConverter[A2], arg4: TypeConverter[A3], arg5: TypeConverter[A4], arg6: TypeConverter[A5], arg7: TypeConverter[A6], arg8: TypeConverter[A7], arg9: TypeConverter[A8], arg10: TypeConverter[A9], arg11: TypeConverter[A10]): CassandraRDD[B]

    Definition Classes
    CassandraRDD
  15. def as[B, A0, A1, A2, A3, A4, A5, A6, A7, A8, A9](f: (A0, A1, A2, A3, A4, A5, A6, A7, A8, A9) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0], arg2: TypeConverter[A1], arg3: TypeConverter[A2], arg4: TypeConverter[A3], arg5: TypeConverter[A4], arg6: TypeConverter[A5], arg7: TypeConverter[A6], arg8: TypeConverter[A7], arg9: TypeConverter[A8], arg10: TypeConverter[A9]): CassandraRDD[B]

    Definition Classes
    CassandraRDD
  16. def as[B, A0, A1, A2, A3, A4, A5, A6, A7, A8](f: (A0, A1, A2, A3, A4, A5, A6, A7, A8) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0], arg2: TypeConverter[A1], arg3: TypeConverter[A2], arg4: TypeConverter[A3], arg5: TypeConverter[A4], arg6: TypeConverter[A5], arg7: TypeConverter[A6], arg8: TypeConverter[A7], arg9: TypeConverter[A8]): CassandraRDD[B]

    Definition Classes
    CassandraRDD
  17. def as[B, A0, A1, A2, A3, A4, A5, A6, A7](f: (A0, A1, A2, A3, A4, A5, A6, A7) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0], arg2: TypeConverter[A1], arg3: TypeConverter[A2], arg4: TypeConverter[A3], arg5: TypeConverter[A4], arg6: TypeConverter[A5], arg7: TypeConverter[A6], arg8: TypeConverter[A7]): CassandraRDD[B]

    Definition Classes
    CassandraRDD
  18. def as[B, A0, A1, A2, A3, A4, A5, A6](f: (A0, A1, A2, A3, A4, A5, A6) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0], arg2: TypeConverter[A1], arg3: TypeConverter[A2], arg4: TypeConverter[A3], arg5: TypeConverter[A4], arg6: TypeConverter[A5], arg7: TypeConverter[A6]): CassandraRDD[B]

    Definition Classes
    CassandraRDD
  19. def as[B, A0, A1, A2, A3, A4, A5](f: (A0, A1, A2, A3, A4, A5) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0], arg2: TypeConverter[A1], arg3: TypeConverter[A2], arg4: TypeConverter[A3], arg5: TypeConverter[A4], arg6: TypeConverter[A5]): CassandraRDD[B]

    Definition Classes
    CassandraRDD
  20. def as[B, A0, A1, A2, A3, A4](f: (A0, A1, A2, A3, A4) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0], arg2: TypeConverter[A1], arg3: TypeConverter[A2], arg4: TypeConverter[A3], arg5: TypeConverter[A4]): CassandraRDD[B]

    Definition Classes
    CassandraRDD
  21. def as[B, A0, A1, A2, A3](f: (A0, A1, A2, A3) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0], arg2: TypeConverter[A1], arg3: TypeConverter[A2], arg4: TypeConverter[A3]): CassandraRDD[B]

    Definition Classes
    CassandraRDD
  22. def as[B, A0, A1, A2](f: (A0, A1, A2) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0], arg2: TypeConverter[A1], arg3: TypeConverter[A2]): CassandraRDD[B]

    Definition Classes
    CassandraRDD
  23. def as[B, A0, A1](f: (A0, A1) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0], arg2: TypeConverter[A1]): CassandraRDD[B]

    Definition Classes
    CassandraRDD
  24. def as[B, A0](f: (A0) ⇒ B)(implicit arg0: ClassTag[B], arg1: TypeConverter[A0]): CassandraRDD[B]

    Maps each row into object of a different type using provided function taking column value(s) as argument(s).

    Maps each row into object of a different type using provided function taking column value(s) as argument(s). Can be used to convert each row to a tuple or a case class object:

    sc.cassandraTable("ks", "table")
      .select("column1")
      .as((s: String) => s)                 // yields CassandraRDD[String]
    
    sc.cassandraTable("ks", "table")
      .select("column1", "column2")
      .as((_: String, _: Long))             // yields CassandraRDD[(String, Long)]
    
    case class MyRow(key: String, value: Long)
    sc.cassandraTable("ks", "table")
      .select("column1", "column2")
      .as(MyRow)                            // yields CassandraRDD[MyRow]
    Definition Classes
    CassandraRDD
  25. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  26. def cache(): CassandraJoinRDD.this.type

    Definition Classes
    RDD
  27. def cartesian[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[((L, R), U)]

    Definition Classes
    RDD
  28. def cassandraCount(): Long

    Counts the number of items in this RDD by selecting count(*) on Cassandra table

    Counts the number of items in this RDD by selecting count(*) on Cassandra table

    Definition Classes
    CassandraJoinRDDCassandraRDD
  29. lazy val cassandraPartitionerClassName: String

    Attributes
    protected
    Definition Classes
    CassandraTableRowReaderProvider
  30. def checkColumnsExistence(columns: Seq[ColumnRef]): Seq[ColumnRef]

    Attributes
    protected
    Definition Classes
    CassandraTableRowReaderProvider
  31. def checkValidJoin(): Seq[ColumnRef]

    This method will create the RowWriter required before the RDD is serialized.

    This method will create the RowWriter required before the RDD is serialized. This is called during getPartitions

    Attributes
    protected
  32. def checkpoint(): Unit

    Definition Classes
    RDD
  33. val classTag: ClassTag[R]

    Attributes
    protected
    Definition Classes
    CassandraJoinRDDCassandraTableRowReaderProvider
  34. def clearDependencies(): Unit

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

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  36. def clusteringOrder(order: ClusteringOrder): Self

    Adds a CQL ORDER BY clause to the query.

    Adds a CQL ORDER BY clause to the query. It can be applied only in case there are clustering columns and primary key predicate is pushed down in where. It is useful when the default direction of ordering rows within a single Cassandra partition needs to be changed.

    Definition Classes
    CassandraRDD
  37. val clusteringOrder: Option[ClusteringOrder]

    Definition Classes
    CassandraJoinRDDCassandraRDD
  38. def coalesce(numPartitions: Int, shuffle: Boolean)(implicit ord: Ordering[(L, R)]): RDD[(L, R)]

    Definition Classes
    RDD
  39. def cogroup[W1, W2, W3](other1: RDD[(L, W1)], other2: RDD[(L, W2)], other3: RDD[(L, W3)], numPartitions: Int): RDD[(L, (Iterable[R], Iterable[W1], Iterable[W2], Iterable[W3]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  40. def cogroup[W1, W2](other1: RDD[(L, W1)], other2: RDD[(L, W2)], numPartitions: Int): RDD[(L, (Iterable[R], Iterable[W1], Iterable[W2]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  41. def cogroup[W](other: RDD[(L, W)], numPartitions: Int): RDD[(L, (Iterable[R], Iterable[W]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  42. def cogroup[W1, W2](other1: RDD[(L, W1)], other2: RDD[(L, W2)]): RDD[(L, (Iterable[R], Iterable[W1], Iterable[W2]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  43. def cogroup[W](other: RDD[(L, W)]): RDD[(L, (Iterable[R], Iterable[W]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  44. def cogroup[W1, W2, W3](other1: RDD[(L, W1)], other2: RDD[(L, W2)], other3: RDD[(L, W3)]): RDD[(L, (Iterable[R], Iterable[W1], Iterable[W2], Iterable[W3]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  45. def cogroup[W1, W2](other1: RDD[(L, W1)], other2: RDD[(L, W2)], partitioner: Partitioner): RDD[(L, (Iterable[R], Iterable[W1], Iterable[W2]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  46. def cogroup[W](other: RDD[(L, W)], partitioner: Partitioner): RDD[(L, (Iterable[R], Iterable[W]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  47. def cogroup[W1, W2, W3](other1: RDD[(L, W1)], other2: RDD[(L, W2)], other3: RDD[(L, W3)], partitioner: Partitioner): RDD[(L, (Iterable[R], Iterable[W1], Iterable[W2], Iterable[W3]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  48. def collect[U](f: PartialFunction[(L, R), U])(implicit arg0: ClassTag[U]): RDD[U]

    Definition Classes
    RDD
  49. def collect(): Array[(L, R)]

    Definition Classes
    RDD
  50. def collectAsMap(): Map[L, R]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  51. def collectAsync(): FutureAction[Seq[(L, R)]]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to AsyncRDDActions[(L, R)] performed by method rddToAsyncRDDActions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type ClassTag[(L, R)] is in scope.
    Definition Classes
    AsyncRDDActions
  52. val columnNames: ColumnSelector

  53. def combineByKey[C](createCombiner: (R) ⇒ C, mergeValue: (C, R) ⇒ C, mergeCombiners: (C, C) ⇒ C): RDD[(L, C)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  54. def combineByKey[C](createCombiner: (R) ⇒ C, mergeValue: (C, R) ⇒ C, mergeCombiners: (C, C) ⇒ C, numPartitions: Int): RDD[(L, C)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  55. def combineByKey[C](createCombiner: (R) ⇒ C, mergeValue: (C, R) ⇒ C, mergeCombiners: (C, C) ⇒ C, partitioner: Partitioner, mapSideCombine: Boolean, serializer: Serializer): RDD[(L, C)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  56. def compute(split: Partition, context: TaskContext): Iterator[(L, R)]

    When computing a CassandraPartitionKeyRDD the data is selected via single CQL statements from the specified C* Keyspace and Table.

    When computing a CassandraPartitionKeyRDD the data is selected via single CQL statements from the specified C* Keyspace and Table. This will be preformed on whatever data is available in the previous RDD in the chain.

    Definition Classes
    CassandraJoinRDD → RDD
  57. val connector: CassandraConnector

  58. def consistencyLevel: ConsistencyLevel

    Attributes
    protected
    Definition Classes
    CassandraTableRowReaderProvider
  59. def context: SparkContext

    Definition Classes
    RDD
  60. def convertTo[B](implicit arg0: ClassTag[B], arg1: RowReaderFactory[B]): CassandraRDD[B]

    Attributes
    protected
    Definition Classes
    CassandraRDD
  61. def copy(columnNames: ColumnSelector = columnNames, where: CqlWhereClause = where, limit: Option[Long] = limit, clusteringOrder: Option[ClusteringOrder] = None, readConf: ReadConf = readConf, connector: CassandraConnector = connector): Self

    Allows to copy this RDD with changing some of the properties

    Allows to copy this RDD with changing some of the properties

    Attributes
    protected
    Definition Classes
    CassandraJoinRDDCassandraRDD
  62. def count(): Long

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

    Definition Classes
    RDD
    Annotations
    @Experimental()
  64. def countApproxDistinct(relativeSD: Double): Long

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

    Definition Classes
    RDD
    Annotations
    @Experimental()
  66. def countApproxDistinctByKey(relativeSD: Double): RDD[(L, Long)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  67. def countApproxDistinctByKey(relativeSD: Double, numPartitions: Int): RDD[(L, Long)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  68. def countApproxDistinctByKey(relativeSD: Double, partitioner: Partitioner): RDD[(L, Long)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  69. def countApproxDistinctByKey(p: Int, sp: Int, partitioner: Partitioner): RDD[(L, Long)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
    Annotations
    @Experimental()
  70. def countAsync(): FutureAction[Long]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to AsyncRDDActions[(L, R)] performed by method rddToAsyncRDDActions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type ClassTag[(L, R)] is in scope.
    Definition Classes
    AsyncRDDActions
  71. def countByKey(): Map[L, Long]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  72. def countByKeyApprox(timeout: Long, confidence: Double): PartialResult[Map[L, BoundedDouble]]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
    Annotations
    @Experimental()
  73. def countByValue()(implicit ord: Ordering[(L, R)]): Map[(L, R), Long]

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

    Definition Classes
    RDD
    Annotations
    @Experimental()
  75. final def dependencies: Seq[Dependency[_]]

    Definition Classes
    RDD
  76. def distinct(): RDD[(L, R)]

    Definition Classes
    RDD
  77. def distinct(numPartitions: Int)(implicit ord: Ordering[(L, R)]): RDD[(L, R)]

    Definition Classes
    RDD
  78. def ensuring(cond: (CassandraJoinRDD[L, R]) ⇒ Boolean, msg: ⇒ Any): CassandraJoinRDD[L, R]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to Ensuring[CassandraJoinRDD[L, R]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  79. def ensuring(cond: (CassandraJoinRDD[L, R]) ⇒ Boolean): CassandraJoinRDD[L, R]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to Ensuring[CassandraJoinRDD[L, R]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  80. def ensuring(cond: Boolean, msg: ⇒ Any): CassandraJoinRDD[L, R]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to Ensuring[CassandraJoinRDD[L, R]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  81. def ensuring(cond: Boolean): CassandraJoinRDD[L, R]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to Ensuring[CassandraJoinRDD[L, R]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  82. final def eq(arg0: AnyRef): Boolean

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

    Definition Classes
    AnyRef → Any
  84. def fetchSize: Int

    Attributes
    protected
    Definition Classes
    CassandraTableRowReaderProvider
  85. def filter(f: ((L, R)) ⇒ Boolean): RDD[(L, R)]

    Definition Classes
    RDD
  86. def filterByRange(lower: L, upper: L): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to OrderedRDDFunctions[L, R, (L, R)] 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. L is context-bounded by scala.Ordering (L: Ordering)
    2. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    3. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    Definition Classes
    OrderedRDDFunctions
  87. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  88. def first(): (L, R)

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

    Attributes
    protected[org.apache.spark]
    Definition Classes
    RDD
  90. def flatMap[U](f: ((L, R)) ⇒ TraversableOnce[U])(implicit arg0: ClassTag[U]): RDD[U]

    Definition Classes
    RDD
  91. def flatMapValues[U](f: (R) ⇒ TraversableOnce[U]): RDD[(L, U)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  92. def fold(zeroValue: (L, R))(op: ((L, R), (L, R)) ⇒ (L, R)): (L, R)

    Definition Classes
    RDD
  93. def foldByKey(zeroValue: R)(func: (R, R) ⇒ R): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  94. def foldByKey(zeroValue: R, numPartitions: Int)(func: (R, R) ⇒ R): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  95. def foldByKey(zeroValue: R, partitioner: Partitioner)(func: (R, R) ⇒ R): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  96. def foreach(f: ((L, R)) ⇒ Unit): Unit

    Definition Classes
    RDD
  97. def foreachAsync(f: ((L, R)) ⇒ Unit): FutureAction[Unit]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to AsyncRDDActions[(L, R)] performed by method rddToAsyncRDDActions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type ClassTag[(L, R)] is in scope.
    Definition Classes
    AsyncRDDActions
  98. def foreachPartition(f: (Iterator[(L, R)]) ⇒ Unit): Unit

    Definition Classes
    RDD
  99. def foreachPartitionAsync(f: (Iterator[(L, R)]) ⇒ Unit): FutureAction[Unit]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to AsyncRDDActions[(L, R)] performed by method rddToAsyncRDDActions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type ClassTag[(L, R)] is in scope.
    Definition Classes
    AsyncRDDActions
  100. def formatted(fmtstr: String): String

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to StringFormat performed by method any2stringfmt in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()
  101. def fullOuterJoin[W](other: RDD[(L, W)], numPartitions: Int): RDD[(L, (Option[R], Option[W]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  102. def fullOuterJoin[W](other: RDD[(L, W)]): RDD[(L, (Option[R], Option[W]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  103. def fullOuterJoin[W](other: RDD[(L, W)], partitioner: Partitioner): RDD[(L, (Option[R], Option[W]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  104. def getCheckpointFile: Option[String]

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

    Definition Classes
    AnyRef → Any
  106. def getDependencies: Seq[Dependency[_]]

    Attributes
    protected
    Definition Classes
    RDD
  107. def getPartitions: Array[Partition]

    Attributes
    protected
    Definition Classes
    CassandraJoinRDD → RDD
  108. def getPreferredLocations(split: Partition): Seq[String]

    Definition Classes
    CassandraJoinRDD → RDD
  109. def getStorageLevel: StorageLevel

    Definition Classes
    RDD
  110. def glom(): RDD[Array[(L, R)]]

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

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

    Definition Classes
    RDD
  113. def groupBy[K](f: ((L, R)) ⇒ K)(implicit kt: ClassTag[K]): RDD[(K, Iterable[(L, R)])]

    Definition Classes
    RDD
  114. def groupByKey(): RDD[(L, Iterable[R])]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  115. def groupByKey(numPartitions: Int): RDD[(L, Iterable[R])]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  116. def groupByKey(partitioner: Partitioner): RDD[(L, Iterable[R])]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  117. def groupWith[W1, W2, W3](other1: RDD[(L, W1)], other2: RDD[(L, W2)], other3: RDD[(L, W3)]): RDD[(L, (Iterable[R], Iterable[W1], Iterable[W2], Iterable[W3]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  118. def groupWith[W1, W2](other1: RDD[(L, W1)], other2: RDD[(L, W2)]): RDD[(L, (Iterable[R], Iterable[W1], Iterable[W2]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  119. def groupWith[W](other: RDD[(L, W)]): RDD[(L, (Iterable[R], Iterable[W]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  120. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  121. def histogram(buckets: Array[Double], evenBuckets: Boolean): Array[Long]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type Numeric[(L, R)] is in scope.
    Definition Classes
    DoubleRDDFunctions
  122. def histogram(bucketCount: Int): (Array[Double], Array[Long])

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type Numeric[(L, R)] is in scope.
    Definition Classes
    DoubleRDDFunctions
  123. val id: Int

    Definition Classes
    RDD
  124. def intersection(other: RDD[(L, R)], numPartitions: Int): RDD[(L, R)]

    Definition Classes
    RDD
  125. def intersection(other: RDD[(L, R)], partitioner: Partitioner)(implicit ord: Ordering[(L, R)]): RDD[(L, R)]

    Definition Classes
    RDD
  126. def intersection(other: RDD[(L, R)]): RDD[(L, R)]

    Definition Classes
    RDD
  127. def isCheckpointed: Boolean

    Definition Classes
    RDD
  128. def isEmpty(): Boolean

    Definition Classes
    RDD
  129. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  130. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging
  131. final def iterator(split: Partition, context: TaskContext): Iterator[(L, R)]

    Definition Classes
    RDD
  132. def join[W](other: RDD[(L, W)], numPartitions: Int): RDD[(L, (R, W))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  133. def join[W](other: RDD[(L, W)]): RDD[(L, (R, W))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  134. def join[W](other: RDD[(L, W)], partitioner: Partitioner): RDD[(L, (R, W))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  135. lazy val joinColumnNames: Seq[ColumnRef]

  136. val joinColumns: ColumnSelector

  137. def joinWithCassandraTable[R](keyspaceName: String, tableName: String, selectedColumns: ColumnSelector = AllColumns, joinColumns: ColumnSelector = PartitionKeyColumns)(implicit connector: CassandraConnector = ..., newType: ClassTag[R], rrf: RowReaderFactory[R], ev: ValidRDDType[R], currentType: ClassTag[(L, R)], rwf: RowWriterFactory[(L, R)]): CassandraJoinRDD[(L, R), R]

    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 CassandraJoinRDD[L, R] to RDDFunctions[(L, R)] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  138. def keyBy[K](f: ((L, R)) ⇒ K): RDD[(K, (L, R))]

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

    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 CassandraJoinRDD[L, R] to RDDFunctions[(L, R)] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  140. def keys: RDD[L]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  141. val keyspaceName: String

  142. implicit val leftClassTag: ClassTag[L]

  143. def leftOuterJoin[W](other: RDD[(L, W)], numPartitions: Int): RDD[(L, (R, Option[W]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  144. def leftOuterJoin[W](other: RDD[(L, W)]): RDD[(L, (R, Option[W]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  145. def leftOuterJoin[W](other: RDD[(L, W)], partitioner: Partitioner): RDD[(L, (R, Option[W]))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  146. def limit(rowLimit: Long): Self

    Adds the limit clause to CQL select statement.

    Adds the limit clause to CQL select statement. The limit will be applied for each created Spark partition. In other words, unless the data are fetched from a single Cassandra partition the number of results is unpredictable.

    The main purpose of passing limit clause is to fetch top n rows from a single Cassandra partition when the table is designed so that it uses clustering keys and a partition key predicate is passed to the where clause.

    Definition Classes
    CassandraRDD
  147. val limit: Option[Long]

    Definition Classes
    CassandraJoinRDDCassandraRDD
  148. def log: Logger

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

    Attributes
    protected
    Definition Classes
    Logging
  150. def logDebug(msg: ⇒ String): Unit

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

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

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

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

    Attributes
    protected
    Definition Classes
    Logging
  155. def logName: String

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

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

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

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

    Attributes
    protected
    Definition Classes
    Logging
  160. def lookup(key: L): Seq[R]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  161. def map[U](f: ((L, R)) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

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

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

    Definition Classes
    RDD
  164. def mapValues[U](f: (R) ⇒ U): RDD[(L, U)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  165. def max()(implicit ord: Ordering[(L, R)]): (L, R)

    Definition Classes
    RDD
  166. def mean(): Double

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type Numeric[(L, R)] is in scope.
    Definition Classes
    DoubleRDDFunctions
  167. def meanApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type Numeric[(L, R)] is in scope.
    Definition Classes
    DoubleRDDFunctions
    Annotations
    @Experimental()
  168. def min()(implicit ord: Ordering[(L, R)]): (L, R)

    Definition Classes
    RDD
  169. var name: String

    Definition Classes
    RDD
  170. def narrowColumnSelection(columns: Seq[ColumnRef]): Seq[ColumnRef]

    Filters currently selected set of columns with a new set of columns

    Filters currently selected set of columns with a new set of columns

    Definition Classes
    CassandraTableRowReaderProvider
  171. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  172. def newJobContext(conf: Configuration, jobId: JobID): JobContext

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    SparkHadoopMapReduceUtil
  173. def newTaskAttemptContext(conf: Configuration, attemptId: TaskAttemptID): TaskAttemptContext

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    SparkHadoopMapReduceUtil
  174. def newTaskAttemptID(jtIdentifier: String, jobId: Int, isMap: Boolean, taskId: Int, attemptId: Int): TaskAttemptID

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    SparkHadoopMapReduceUtil
  175. final def notify(): Unit

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

    Definition Classes
    AnyRef
  177. def on(joinColumns: ColumnSelector): CassandraJoinRDD[L, R]

  178. def parent[U](j: Int)(implicit arg0: ClassTag[U]): RDD[U]

    Attributes
    protected[org.apache.spark]
    Definition Classes
    RDD
  179. def partitionBy(partitioner: Partitioner): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  180. val partitioner: Option[Partitioner]

    Definition Classes
    RDD
  181. final def partitions: Array[Partition]

    Definition Classes
    RDD
  182. def persist(): CassandraJoinRDD.this.type

    Definition Classes
    RDD
  183. def persist(newLevel: StorageLevel): CassandraJoinRDD.this.type

    Definition Classes
    RDD
  184. def pipe(command: Seq[String], env: Map[String, String], printPipeContext: ((String) ⇒ Unit) ⇒ Unit, printRDDElement: ((L, R), (String) ⇒ Unit) ⇒ Unit, separateWorkingDir: Boolean): RDD[String]

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

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

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

    Definition Classes
    RDD
  188. def protocolVersion(session: Session): ProtocolVersion

  189. def randomSplit(weights: Array[Double], seed: Long): Array[RDD[(L, R)]]

    Definition Classes
    RDD
  190. val readConf: ReadConf

  191. def reduce(f: ((L, R), (L, R)) ⇒ (L, R)): (L, R)

    Definition Classes
    RDD
  192. def reduceByKey(func: (R, R) ⇒ R): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  193. def reduceByKey(func: (R, R) ⇒ R, numPartitions: Int): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  194. def reduceByKey(partitioner: Partitioner, func: (R, R) ⇒ R): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  195. def reduceByKeyLocally(func: (R, R) ⇒ R): Map[L, R]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  196. def repartition(numPartitions: Int)(implicit ord: Ordering[(L, R)]): RDD[(L, R)]

    Definition Classes
    RDD
  197. def repartitionAndSortWithinPartitions(partitioner: Partitioner): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to OrderedRDDFunctions[L, R, (L, R)] 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. L is context-bounded by scala.Ordering (L: Ordering)
    2. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    3. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    Definition Classes
    OrderedRDDFunctions
  198. def repartitionByCassandraReplica(keyspaceName: String, tableName: String, partitionsPerHost: Int = 10, partitionKeyMapper: ColumnSelector = PartitionKeyColumns)(implicit connector: CassandraConnector = ..., currentType: ClassTag[(L, R)], rwf: RowWriterFactory[(L, R)]): CassandraPartitionedRDD[(L, R)]

    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 CassandraJoinRDD[L, R] to RDDFunctions[(L, R)] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  199. implicit val rightClassTag: ClassTag[R]

  200. def rightOuterJoin[W](other: RDD[(L, W)], numPartitions: Int): RDD[(L, (Option[R], W))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  201. def rightOuterJoin[W](other: RDD[(L, W)]): RDD[(L, (Option[R], W))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  202. def rightOuterJoin[W](other: RDD[(L, W)], partitioner: Partitioner): RDD[(L, (Option[R], W))]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  203. lazy val rowReader: RowReader[R]

  204. implicit val rowReaderFactory: RowReaderFactory[R]

    RowReaderFactory and ClassTag should be provided from implicit parameters in the constructor of the class implementing this trait

    RowReaderFactory and ClassTag should be provided from implicit parameters in the constructor of the class implementing this trait

    Definition Classes
    CassandraJoinRDDCassandraTableRowReaderProvider
    See also

    CassandraTableScanRDD

  205. lazy val rowWriter: RowWriter[L]

  206. implicit val rowWriterFactory: RowWriterFactory[L]

  207. def sample(withReplacement: Boolean, fraction: Double, seed: Long): RDD[(L, R)]

    Definition Classes
    RDD
  208. def sampleByKey(withReplacement: Boolean, fractions: Map[L, Double], seed: Long): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  209. def sampleByKeyExact(withReplacement: Boolean, fractions: Map[L, Double], seed: Long): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
    Annotations
    @Experimental()
  210. def sampleStdev(): Double

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type Numeric[(L, R)] is in scope.
    Definition Classes
    DoubleRDDFunctions
  211. def sampleVariance(): Double

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type Numeric[(L, R)] is in scope.
    Definition Classes
    DoubleRDDFunctions
  212. def saveAsCassandraTable(keyspaceName: String, tableName: String, columns: ColumnSelector = AllColumns, writeConf: WriteConf = ...)(implicit connector: CassandraConnector = ..., rwf: RowWriterFactory[(L, R)], columnMapper: ColumnMapper[(L, R)]): Unit

    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 CassandraJoinRDD[L, R] to RDDFunctions[(L, R)] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  213. def saveAsCassandraTableEx(table: TableDef, columns: ColumnSelector = AllColumns, writeConf: WriteConf = ...)(implicit connector: CassandraConnector = ..., rwf: RowWriterFactory[(L, R)]): Unit

    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 CassandraJoinRDD[L, R] to RDDFunctions[(L, R)] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  214. def saveAsHadoopDataset(conf: JobConf): Unit

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  215. def saveAsHadoopFile(path: String, keyClass: Class[_], valueClass: Class[_], outputFormatClass: Class[_ <: OutputFormat[_, _]], conf: JobConf, codec: Option[Class[_ <: CompressionCodec]]): Unit

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  216. def saveAsHadoopFile(path: String, keyClass: Class[_], valueClass: Class[_], outputFormatClass: Class[_ <: OutputFormat[_, _]], codec: Class[_ <: CompressionCodec]): Unit

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  217. def saveAsHadoopFile[F <: OutputFormat[K, V]](path: String, codec: Class[_ <: CompressionCodec])(implicit fm: ClassTag[F]): Unit

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  218. def saveAsHadoopFile[F <: OutputFormat[K, V]](path: String)(implicit fm: ClassTag[F]): Unit

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  219. def saveAsNewAPIHadoopDataset(conf: Configuration): Unit

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  220. def saveAsNewAPIHadoopFile(path: String, keyClass: Class[_], valueClass: Class[_], outputFormatClass: Class[_ <: OutputFormat[_, _]], conf: Configuration): Unit

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  221. def saveAsNewAPIHadoopFile[F <: OutputFormat[K, V]](path: String)(implicit fm: ClassTag[F]): Unit

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  222. def saveAsObjectFile(path: String): Unit

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

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to SequenceFileRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by org.apache.spark.WritableFactory (L: WritableFactory)
    4. R is context-bounded by org.apache.spark.WritableFactory (R: WritableFactory)
    Definition Classes
    SequenceFileRDDFunctions
  224. def saveAsTextFile(path: String, codec: Class[_ <: CompressionCodec]): Unit

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

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

    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 CassandraJoinRDD[L, R] to RDDFunctions[(L, R)] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctionsWritableToCassandra
    See also

    com.datastax.spark.connector.writer.WritableToCassandra

  227. def select(columns: ColumnRef*): Self

    Narrows down the selected set of columns.

    Narrows down the selected set of columns. Use this for better performance, when you don't need all the columns in the result RDD. When called multiple times, it selects the subset of the already selected columns, so after a column was removed by the previous select call, it is not possible to add it back.

    The selected columns are ColumnRef instances. This type allows to specify columns for straightforward retrieval and to read TTL or write time of regular columns as well. Implicit conversions included in com.datastax.spark.connector package make it possible to provide just column names (which is also backward compatible) and optional add .ttl or .writeTime suffix in order to create an appropriate ColumnRef instance.

    Definition Classes
    CassandraRDD
  228. def selectedColumnNames: Seq[String]

    Definition Classes
    CassandraRDD
  229. lazy val selectedColumnRefs: Seq[ColumnRef]

    Returns the columns to be selected from the table.

    Returns the columns to be selected from the table.

    Definition Classes
    CassandraTableRowReaderProvider
  230. def setName(_name: String): CassandraJoinRDD.this.type

    Definition Classes
    RDD
  231. lazy val singleKeyCqlQuery: String

  232. def sortBy[K](f: ((L, R)) ⇒ K, ascending: Boolean, numPartitions: Int)(implicit ord: Ordering[K], ctag: ClassTag[K]): RDD[(L, R)]

    Definition Classes
    RDD
  233. def sortByKey(ascending: Boolean, numPartitions: Int): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to OrderedRDDFunctions[L, R, (L, R)] 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. L is context-bounded by scala.Ordering (L: Ordering)
    2. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    3. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    Definition Classes
    OrderedRDDFunctions
  234. def spanBy[U](f: ((L, R)) ⇒ U): RDD[(U, Iterable[(L, R)])]

    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 CassandraJoinRDD[L, R] to RDDFunctions[(L, R)] performed by method toRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    RDDFunctions
  235. def spanByKey: RDD[(L, Seq[R])]

    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 CassandraJoinRDD[L, R] to PairRDDFunctions[L, R] performed by method toPairRDDFunctions in com.datastax.spark.connector.
    Definition Classes
    PairRDDFunctions
  236. def sparkContext: SparkContext

    Definition Classes
    RDD
  237. def splitCount: Option[Int]

    Attributes
    protected
    Definition Classes
    CassandraTableRowReaderProvider
  238. def splitSize: Long

    Attributes
    protected[com.datastax.spark.connector]
    Definition Classes
    CassandraTableRowReaderProvider
  239. def stats(): StatCounter

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type Numeric[(L, R)] is in scope.
    Definition Classes
    DoubleRDDFunctions
  240. def stdev(): Double

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type Numeric[(L, R)] is in scope.
    Definition Classes
    DoubleRDDFunctions
  241. def subtract(other: RDD[(L, R)], p: Partitioner)(implicit ord: Ordering[(L, R)]): RDD[(L, R)]

    Definition Classes
    RDD
  242. def subtract(other: RDD[(L, R)], numPartitions: Int): RDD[(L, R)]

    Definition Classes
    RDD
  243. def subtract(other: RDD[(L, R)]): RDD[(L, R)]

    Definition Classes
    RDD
  244. def subtractByKey[W](other: RDD[(L, W)], p: Partitioner)(implicit arg0: ClassTag[W]): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  245. def subtractByKey[W](other: RDD[(L, W)], numPartitions: Int)(implicit arg0: ClassTag[W]): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  246. def subtractByKey[W](other: RDD[(L, W)])(implicit arg0: ClassTag[W]): RDD[(L, R)]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  247. def sum(): Double

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type Numeric[(L, R)] is in scope.
    Definition Classes
    DoubleRDDFunctions
  248. def sumApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type Numeric[(L, R)] is in scope.
    Definition Classes
    DoubleRDDFunctions
    Annotations
    @Experimental()
  249. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  250. lazy val tableDef: TableDef

  251. val tableName: String

  252. def take(num: Int): Array[(L, R)]

    Definition Classes
    CassandraRDD → RDD
  253. def takeAsync(num: Int): FutureAction[Seq[(L, R)]]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to AsyncRDDActions[(L, R)] performed by method rddToAsyncRDDActions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type ClassTag[(L, R)] is in scope.
    Definition Classes
    AsyncRDDActions
  254. def takeOrdered(num: Int)(implicit ord: Ordering[(L, R)]): Array[(L, R)]

    Definition Classes
    RDD
  255. def takeSample(withReplacement: Boolean, num: Int, seed: Long): Array[(L, R)]

    Definition Classes
    RDD
  256. def toDebugString: String

    Definition Classes
    RDD
  257. def toEmptyCassandraRDD: EmptyCassandraRDD[(L, R)]

    Definition Classes
    CassandraJoinRDDCassandraRDD
  258. def toJavaRDD(): JavaRDD[(L, R)]

    Definition Classes
    RDD
  259. def toLocalIterator: Iterator[(L, R)]

    Definition Classes
    RDD
  260. def toString(): String

    Definition Classes
    RDD → AnyRef → Any
  261. def top(num: Int)(implicit ord: Ordering[(L, R)]): Array[(L, R)]

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

    Definition Classes
    RDD
  263. def treeReduce(f: ((L, R), (L, R)) ⇒ (L, R), depth: Int): (L, R)

    Definition Classes
    RDD
  264. def union(other: RDD[(L, R)]): RDD[(L, R)]

    Definition Classes
    RDD
  265. def unpersist(blocking: Boolean): CassandraJoinRDD.this.type

    Definition Classes
    RDD
  266. def values: RDD[R]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
  267. def variance(): Double

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to DoubleRDDFunctions performed by method numericRDDToDoubleRDDFunctions in org.apache.spark.rdd.RDD. This conversion will take place only if an implicit value of type Numeric[(L, R)] is in scope.
    Definition Classes
    DoubleRDDFunctions
  268. def verify(): RowReader[R]

    Checks for existence of keyspace and table.

    Checks for existence of keyspace and table.

    Definition Classes
    CassandraTableRowReaderProvider
  269. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  270. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  271. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  272. def where(cql: String, values: Any*): Self

    Adds a CQL WHERE predicate(s) to the query.

    Adds a CQL WHERE predicate(s) to the query. Useful for leveraging secondary indexes in Cassandra. Implicitly adds an ALLOW FILTERING clause to the WHERE clause, however beware that some predicates might be rejected by Cassandra, particularly in cases when they filter on an unindexed, non-clustering column.

    Definition Classes
    CassandraRDD
  273. val where: CqlWhereClause

    Definition Classes
    CassandraJoinRDDCassandraRDD
  274. def withAscOrder: Self

    Definition Classes
    CassandraRDD
  275. def withConnector(connector: CassandraConnector): Self

    Returns a copy of this Cassandra RDD with specified connector

    Returns a copy of this Cassandra RDD with specified connector

    Definition Classes
    CassandraRDD
  276. def withDescOrder: Self

    Definition Classes
    CassandraRDD
  277. def withReadConf(readConf: ReadConf): Self

    Allows to set custom read configuration, e.

    Allows to set custom read configuration, e.g. consistency level or fetch size.

    Definition Classes
    CassandraRDD
  278. def zip[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[((L, R), U)]

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

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

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

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

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

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

    Definition Classes
    RDD
  285. def zipWithIndex(): RDD[((L, R), Long)]

    Definition Classes
    RDD
  286. def zipWithUniqueId(): RDD[((L, R), Long)]

    Definition Classes
    RDD
  287. def [B](y: B): (CassandraJoinRDD[L, R], B)

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to ArrowAssoc[CassandraJoinRDD[L, R]] performed by method any2ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Shadowed Implicit Value Members

  1. val self: Any

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to StringAdd performed by method any2stringadd in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (cassandraJoinRDD: StringAdd).self
    Definition Classes
    StringAdd
  2. val self: Any

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to StringFormat performed by method any2stringfmt in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (cassandraJoinRDD: StringFormat).self
    Definition Classes
    StringFormat
  3. val sparkContext: SparkContext

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to RDDFunctions[(L, R)] performed by method toRDDFunctions in com.datastax.spark.connector.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (cassandraJoinRDD: RDDFunctions[(L, R)]).sparkContext
    Definition Classes
    RDDFunctionsWritableToCassandra

Deprecated Value Members

  1. def filterWith[A](constructA: (Int) ⇒ A)(p: ((L, R), A) ⇒ Boolean): RDD[(L, R)]

    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 1.0.0) use mapPartitionsWithIndex and filter

  2. def flatMapWith[A, U](constructA: (Int) ⇒ A, preservesPartitioning: Boolean)(f: ((L, R), A) ⇒ Seq[U])(implicit arg0: ClassTag[U]): RDD[U]

    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 1.0.0) use mapPartitionsWithIndex and flatMap

  3. def foreachWith[A](constructA: (Int) ⇒ A)(f: ((L, R), A) ⇒ Unit): Unit

    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 1.0.0) use mapPartitionsWithIndex and foreach

  4. def mapPartitionsWithContext[U](f: (TaskContext, Iterator[(L, R)]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

    Definition Classes
    RDD
    Annotations
    @DeveloperApi() @deprecated
    Deprecated

    (Since version 1.2.0) use TaskContext.get

  5. def mapPartitionsWithSplit[U](f: (Int, Iterator[(L, R)]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 0.7.0) use mapPartitionsWithIndex

  6. def mapWith[A, U](constructA: (Int) ⇒ A, preservesPartitioning: Boolean)(f: ((L, R), A) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 1.0.0) use mapPartitionsWithIndex

  7. def reduceByKeyToDriver(func: (R, R) ⇒ R): Map[L, R]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R] 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. L is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (L: ClassTag)
    2. R is accompanied by a ClassTag, which is a runtime representation of its type that survives erasure (R: ClassTag)
    3. L is context-bounded by scala.Ordering (L: Ordering)
    Definition Classes
    PairRDDFunctions
    Annotations
    @deprecated
    Deprecated

    (Since version 1.0.0) Use reduceByKeyLocally

  8. def toArray(): Array[(L, R)]

    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 1.0.0) use collect

  9. def x: CassandraJoinRDD[L, R]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to ArrowAssoc[CassandraJoinRDD[L, R]] performed by method any2ArrowAssoc in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (cassandraJoinRDD: ArrowAssoc[CassandraJoinRDD[L, R]]).x
    Definition Classes
    ArrowAssoc
    Annotations
    @deprecated
    Deprecated

    (Since version 2.10.0) Use leftOfArrow instead

  10. def x: CassandraJoinRDD[L, R]

    Implicit information
    This member is added by an implicit conversion from CassandraJoinRDD[L, R] to Ensuring[CassandraJoinRDD[L, R]] performed by method any2Ensuring in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (cassandraJoinRDD: Ensuring[CassandraJoinRDD[L, R]]).x
    Definition Classes
    Ensuring
    Annotations
    @deprecated
    Deprecated

    (Since version 2.10.0) Use resultOfEnsuring instead

Inherited from CassandraRDD[(L, R)]

Inherited from RDD[(L, R)]

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion rddToPairRDDFunctions from CassandraJoinRDD[L, R] to org.apache.spark.rdd.PairRDDFunctions[L, R]

Inherited by implicit conversion numericRDDToDoubleRDDFunctions from CassandraJoinRDD[L, R] to DoubleRDDFunctions

Inherited by implicit conversion rddToOrderedRDDFunctions from CassandraJoinRDD[L, R] to OrderedRDDFunctions[L, R, (L, R)]

Inherited by implicit conversion rddToSequenceFileRDDFunctions from CassandraJoinRDD[L, R] to SequenceFileRDDFunctions[L, R]

Inherited by implicit conversion rddToAsyncRDDActions from CassandraJoinRDD[L, R] to AsyncRDDActions[(L, R)]

Inherited by implicit conversion toPairRDDFunctions from CassandraJoinRDD[L, R] to PairRDDFunctions[L, R]

Inherited by implicit conversion toRDDFunctions from CassandraJoinRDD[L, R] to RDDFunctions[(L, R)]

Inherited by implicit conversion any2stringadd from CassandraJoinRDD[L, R] to StringAdd

Inherited by implicit conversion any2stringfmt from CassandraJoinRDD[L, R] to StringFormat

Inherited by implicit conversion any2ArrowAssoc from CassandraJoinRDD[L, R] to ArrowAssoc[CassandraJoinRDD[L, R]]

Inherited by implicit conversion any2Ensuring from CassandraJoinRDD[L, R] to Ensuring[CassandraJoinRDD[L, R]]

Ungrouped