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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 java

Spark streaming's Java API.

Definition Classes: api

JavaDStream

JavaDStreamLike

JavaInputDStream

JavaMapWithStateDStream

JavaPairDStream

JavaPairInputDStream

JavaPairReceiverInputDStream

JavaReceiverInputDStream

JavaStreamingContext

org.apache.spark.streaming.api.java

JavaPairReceiverInputDStream

Companion class JavaPairReceiverInputDStream

object JavaPairReceiverInputDStream extends Serializable

Source: JavaPairReceiverInputDStream.scala

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implicit def fromReceiverInputDStream[K, V](receiverInputDStream: ReceiverInputDStream[(K, V)])(implicit arg0: ClassTag[K], arg1: ClassTag[V]): JavaPairReceiverInputDStream[K, V]
Convert a scala org.apache.spark.streaming.dstream.ReceiverInputDStream to a Java-friendly org.apache.spark.streaming.api.java.JavaReceiverInputDStream.
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JavaPairReceiverInputDStream

Companion class JavaPairReceiverInputDStream

object JavaPairReceiverInputDStream extends Serializable

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JavaPairReceiverInputDStream

Companion class JavaPairReceiverInputDStream

object JavaPairReceiverInputDStream extends Serializable

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JavaPairReceiverInputDStream