Packages

package root

Definition Classes: root

package org

Definition Classes: root

package apache

Definition Classes: org

package spark

Core Spark functionality.

Core Spark functionality. org.apache.spark.SparkContext serves as the main entry point to Spark, while org.apache.spark.rdd.RDD is the data type representing a distributed collection, and provides most parallel operations.

In addition, org.apache.spark.rdd.PairRDDFunctions contains operations available only on RDDs of key-value pairs, such as groupByKey and join; org.apache.spark.rdd.DoubleRDDFunctions contains operations available only on RDDs of Doubles; and org.apache.spark.rdd.SequenceFileRDDFunctions contains operations available on RDDs that can be saved as SequenceFiles. These operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit conversions.

Java programmers should reference the org.apache.spark.api.java package for Spark programming APIs in Java.

Classes and methods marked with Experimental are user-facing features which have not been officially adopted by the Spark project. These are subject to change or removal in minor releases.

Classes and methods marked with Developer API are intended for advanced users want to extend Spark through lower level interfaces. These are subject to changes or removal in minor releases.

Definition Classes: apache

package api

Definition Classes: spark

package broadcast

Spark's broadcast variables, used to broadcast immutable datasets to all nodes.

Definition Classes: spark

package deploy

Definition Classes: spark

package executor

Executor components used with various cluster managers.

Executor components used with various cluster managers. See org.apache.spark.executor.Executor.

Definition Classes: spark

package input

Definition Classes: spark

package internal

Definition Classes: spark

package io

IO codecs used for compression.

IO codecs used for compression. See org.apache.spark.io.CompressionCodec.

Definition Classes: spark

package mapred

Definition Classes: spark

package memory

This package implements Spark's memory management system.

This package implements Spark's memory management system. This system consists of two main components, a JVM-wide memory manager and a per-task manager:

org.apache.spark.memory.MemoryManager manages Spark's overall memory usage within a JVM. This component implements the policies for dividing the available memory across tasks and for allocating memory between storage (memory used caching and data transfer) and execution (memory used by computations, such as shuffles, joins, sorts, and aggregations).
org.apache.spark.memory.TaskMemoryManager manages the memory allocated by individual tasks. Tasks interact with TaskMemoryManager and never directly interact with the JVM-wide MemoryManager.

Internally, each of these components have additional abstractions for memory bookkeeping:

org.apache.spark.memory.MemoryConsumers are clients of the TaskMemoryManager and correspond to individual operators and data structures within a task. The TaskMemoryManager receives memory allocation requests from MemoryConsumers and issues callbacks to consumers in order to trigger spilling when running low on memory.
org.apache.spark.memory.MemoryPools are a bookkeeping abstraction used by the MemoryManager to track the division of memory between storage and execution.

Diagrammatically:

                                                       +---------------------------+
+-------------+                                        |       MemoryManager       |
| MemConsumer |----+                                   |                           |
+-------------+    |    +-------------------+          |  +---------------------+  |
                   +--->| TaskMemoryManager |----+     |  |OnHeapStorageMemPool |  |
+-------------+    |    +-------------------+    |     |  +---------------------+  |
| MemConsumer |----+                             |     |                           |
+-------------+         +-------------------+    |     |  +---------------------+  |
                        | TaskMemoryManager |----+     |  |OffHeapStorageMemPool|  |
                        +-------------------+    |     |  +---------------------+  |
                                                 +---->|                           |
                                 *               |     |  +---------------------+  |
                                 *               |     |  |OnHeapExecMemPool    |  |
+-------------+                  *               |     |  +---------------------+  |
| MemConsumer |----+                             |     |                           |
+-------------+    |    +-------------------+    |     |  +---------------------+  |
                   +--->| TaskMemoryManager |----+     |  |OffHeapExecMemPool   |  |
                        +-------------------+          |  +---------------------+  |
                                                       |                           |
                                                       +---------------------------+

There is one implementation of org.apache.spark.memory.MemoryManager:

org.apache.spark.memory.UnifiedMemoryManager enforces soft boundaries between storage and execution memory, allowing requests for memory in one region to be fulfilled by borrowing memory from the other.

Definition Classes: spark

package metrics

Definition Classes: spark

package network

Definition Classes: spark

package partial

Support for approximate results.

Support for approximate results. This provides convenient api and also implementation for approximate calculation.

Definition Classes: spark
See also: org.apache.spark.rdd.RDD.countApprox

package rdd

Provides several RDD implementations.

Provides several RDD implementations. See org.apache.spark.rdd.RDD.

Definition Classes: spark

package resource

Definition Classes: spark

package scheduler

Spark's scheduling components.

Spark's scheduling components. This includes the org.apache.spark.scheduler.DAGScheduler and lower level org.apache.spark.scheduler.TaskScheduler.

Definition Classes: spark

package security

Definition Classes: spark

package serializer

Pluggable serializers for RDD and shuffle data.

Definition Classes: spark
See also: org.apache.spark.serializer.Serializer

package shuffle

Definition Classes: spark

package status

Definition Classes: spark

package storage

Definition Classes: spark

package unsafe

Definition Classes: spark

package util

Spark utilities.

Definition Classes: spark

package collection

package random

Utilities for random number generation.

AccumulatorV2

ChildFirstURLClassLoader

CollectionAccumulator

DoubleAccumulator

EnumUtil

LongAccumulator

MutablePair

MutableURLClassLoader

ParentClassLoader

SerializableConfiguration

SizeEstimator

StatCounter

TaskCompletionListener

TaskFailureListener

org.apache.spark

util

package util

Spark utilities.

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abstract class AccumulatorV2[IN, OUT] extends Serializable
The base class for accumulators, that can accumulate inputs of type IN, and produce output of type OUT.
The base class for accumulators, that can accumulate inputs of type IN, and produce output of type OUT.
OUT should be a type that can be read atomically (e.g., Int, Long), or thread-safely (e.g., synchronized collections) because it will be read from other threads.
class ChildFirstURLClassLoader extends MutableURLClassLoader
A mutable class loader that gives preference to its own URLs over the parent class loader when loading classes and resources.
class CollectionAccumulator[T] extends AccumulatorV2[T, List[T]]
An accumulator for collecting a list of elements.
An accumulator for collecting a list of elements.

Since
2.0.0
class DoubleAccumulator extends AccumulatorV2[Double, Double]
An accumulator for computing sum, count, and averages for double precision floating numbers.
An accumulator for computing sum, count, and averages for double precision floating numbers.

Since
2.0.0
class EnumUtil extends AnyRef
class LongAccumulator extends AccumulatorV2[Long, Long]
An accumulator for computing sum, count, and average of 64-bit integers.
An accumulator for computing sum, count, and average of 64-bit integers.

Since
2.0.0
case class MutablePair[T1, T2](_1: T1, _2: T2) extends Product2[T1, T2] with Product with Serializable
:: DeveloperApi :: A tuple of 2 elements.
:: DeveloperApi :: A tuple of 2 elements. This can be used as an alternative to Scala's Tuple2 when we want to minimize object allocation.
_1
Element 1 of this MutablePair
_2
Element 2 of this MutablePair

Annotations
@DeveloperApi()
class MutableURLClassLoader extends URLClassLoader
URL class loader that exposes the addURL method in URLClassLoader.
class ParentClassLoader extends ClassLoader
A class loader which makes some protected methods in ClassLoader accessible.
class SerializableConfiguration extends Serializable
Hadoop configuration but serializable.
Hadoop configuration but serializable. Use value to access the Hadoop configuration.

Annotations
@DeveloperApi() @Unstable()
class StatCounter extends Serializable
A class for tracking the statistics of a set of numbers (count, mean and variance) in a numerically robust way.
A class for tracking the statistics of a set of numbers (count, mean and variance) in a numerically robust way. Includes support for merging two StatCounters. Based on Welford and Chan's algorithms for running variance.
trait TaskCompletionListener extends EventListener
:: DeveloperApi ::
:: DeveloperApi ::
Listener providing a callback function to invoke when a task's execution completes.

Annotations
@DeveloperApi()
trait TaskFailureListener extends EventListener
:: DeveloperApi ::
:: DeveloperApi ::
Listener providing a callback function to invoke when a task's execution encounters an error. Operations defined here must be idempotent, as onTaskFailure can be called multiple times.

Annotations
@DeveloperApi()

Value Members

object SizeEstimator extends Logging
:: DeveloperApi :: Estimates the sizes of Java objects (number of bytes of memory they occupy), for use in memory-aware caches.
:: DeveloperApi :: Estimates the sizes of Java objects (number of bytes of memory they occupy), for use in memory-aware caches.
Based on the following JavaWorld article: http://www.javaworld.com/javaworld/javaqa/2003-12/02-qa-1226-sizeof.html

Annotations
@DeveloperApi()
object StatCounter extends Serializable

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util

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