Class

com.datastax.spark.connector.rdd.partitioner

ReplicaPartitioner

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class ReplicaPartitioner[T] extends Partitioner

The replica partitioner will work on an RDD which is keyed on sets of InetAddresses representing Cassandra Hosts . It will group keys which share a common IP address into partitionsPerReplicaSet Partitions.

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Partitioner, Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new ReplicaPartitioner(table: String, keyspace: String, partitionsPerReplicaSet: Int, partitionKeyMapper: ColumnSelector, connector: CassandraConnector)(implicit currentType: ClassTag[T], rwf: RowWriterFactory[T])

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    partitionsPerReplicaSet

    The number of Spark Partitions to make Per Unique Endpoint

Value Members

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

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    AnyRef → Any

  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )

  6. val connector: CassandraConnector

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

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  11. def getEndpointPartition(partition: Partition): ReplicaPartition

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  12. def getPartition(key: Any): Int

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    Given a set of endpoints, pick a random endpoint, and then a random partition owned by that endpoint.

    Given a set of endpoints, pick a random endpoint, and then a random partition owned by that endpoint. If the requested host doesn't exist chose another random host. Only uses valid hosts from the connected datacenter.

    key

    A Set[InetAddress] of replicas for this Cassandra Partition

    returns

    An integer between 0 and numPartitions

    Definition Classes
    ReplicaPartitioner → Partitioner

  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. def numPartitions: Int

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    Definition Classes
    ReplicaPartitioner → Partitioner

  19. val rowWriter: RowWriter[T]

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

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  21. val tableDef: TableDef

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  22. def toString(): String

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  23. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from Partitioner

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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