Packages

Definition Classes: root

Definition Classes: root

Definition Classes: org

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 streaming

Spark Streaming functionality.

Spark Streaming functionality. org.apache.spark.streaming.StreamingContext serves as the main entry point to Spark Streaming, while org.apache.spark.streaming.dstream.DStream is the data type representing a continuous sequence of RDDs, representing a continuous stream of data.

In addition, org.apache.spark.streaming.dstream.PairDStreamFunctions contains operations available only on DStreams of key-value pairs, such as groupByKey and reduceByKey. These operations are automatically available on any DStream of the right type (e.g. DStream[(Int, Int)] through implicit conversions.

For the Java API of Spark Streaming, take a look at the org.apache.spark.streaming.api.java.JavaStreamingContext which serves as the entry point, and the org.apache.spark.streaming.api.java.JavaDStream and the org.apache.spark.streaming.api.java.JavaPairDStream which have the DStream functionality.

Definition Classes: spark

package api

Definition Classes: streaming

package dstream

Various implementations of DStream's.

Definition Classes: streaming
See also: org.apache.spark.streaming.dstream.DStream

package kinesis

Definition Classes: streaming

package receiver

Definition Classes: streaming

package scheduler

Definition Classes: streaming

package util

Definition Classes: streaming

WriteAheadLog

WriteAheadLogRecordHandle

org.apache.spark.streaming

util

package util

Type Members

abstract class WriteAheadLog extends AnyRef
:: DeveloperApi ::
:: DeveloperApi ::
This abstract class represents a write ahead log (aka journal) that is used by Spark Streaming to save the received data (by receivers) and associated metadata to a reliable storage, so that they can be recovered after driver failures. See the Spark documentation for more information on how to plug in your own custom implementation of a write ahead log.
Annotations
@DeveloperApi()
abstract class WriteAheadLogRecordHandle extends Serializable
:: DeveloperApi ::
:: DeveloperApi ::
This abstract class represents a handle that refers to a record written in a WriteAheadLog. It must contain all the information necessary for the record to be read and returned by an implementation of the WriteAheadLog class.
Annotations
@DeveloperApi()
See also
org.apache.spark.streaming.util.WriteAheadLog

Packages

util

package util

Type Members

Ungrouped

util