RangePartitioner

A org.apache.spark.Partitioner that partitions sortable records by range into roughly equal ranges. The ranges are determined by sampling the content of the RDD passed in.

Source: Partitioner.scala
Note: The actual number of partitions created by the RangePartitioner might not be the same as the partitions parameter, in the case where the number of sampled records is less than the value of partitions.

Linear Supertypes

Partitioner, Serializable, Serializable, AnyRef, Any

Instance Constructors

new RangePartitioner(partitions: Int, rdd: RDD[_ <: Product2[K, V]], ascending: Boolean)(implicit arg0: Ordering[K], arg1: ClassTag[K])
new RangePartitioner(partitions: Int, rdd: RDD[_ <: Product2[K, V]], ascending: Boolean = true, samplePointsPerPartitionHint: Int = 20)(implicit arg0: Ordering[K], arg1: ClassTag[K])

Value Members

final def !=(arg0: Any): Boolean

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

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

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(other: Any): Boolean

Definition Classes
RangePartitioner → AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getPartition(key: Any): Int

Definition Classes
RangePartitioner → Partitioner
def hashCode(): Int

Definition Classes
RangePartitioner → AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def numPartitions: Int

Definition Classes
RangePartitioner → Partitioner
val samplePointsPerPartitionHint: Int
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package spark

class RangePartitioner[K, V] extends Partitioner

Instance Constructors

new RangePartitioner(partitions: Int, rdd: RDD[_ <: Product2[K, V]], ascending: Boolean)(implicit arg0: Ordering[K], arg1: ClassTag[K])

new RangePartitioner(partitions: Int, rdd: RDD[_ <: Product2[K, V]], ascending: Boolean = true, samplePointsPerPartitionHint: Int = 20)(implicit arg0: Ordering[K], arg1: ClassTag[K])

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(other: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def getPartition(key: Any): Int

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def numPartitions: Int

val samplePointsPerPartitionHint: Int

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Partitioner

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped