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 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 scheduler

Definition Classes: streaming

package rate

Definition Classes: scheduler

BatchInfo

OutputOperationInfo

RateController

ReceiverInfo

StatsReportListener

StreamInputInfo

StreamingListener

StreamingListenerBatchCompleted

StreamingListenerBatchStarted

StreamingListenerBatchSubmitted

StreamingListenerEvent

StreamingListenerOutputOperationCompleted

StreamingListenerOutputOperationStarted

StreamingListenerReceiverError

StreamingListenerReceiverStarted

StreamingListenerReceiverStopped

StreamingListenerStreamingStarted

org.apache.spark.streaming.scheduler

StreamInputInfo

Companion object StreamInputInfo

case class StreamInputInfo(inputStreamId: Int, numRecords: Long, metadata: Map[String, Any] = Map.empty) extends Product with Serializable

:: DeveloperApi :: Track the information of input stream at specified batch time.

inputStreamId: the input stream id
numRecords: the number of records in a batch
metadata: metadata for this batch. It should contain at least one standard field named "Description" which maps to the content that will be shown in the UI.

Annotations: @DeveloperApi()

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Serializable, Serializable, Product, Equals, AnyRef, Any

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StreamInputInfo
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new StreamInputInfo(inputStreamId: Int, numRecords: Long, metadata: Map[String, Any] = Map.empty)
inputStreamId
the input stream id
numRecords
the number of records in a batch
metadata
metadata for this batch. It should contain at least one standard field named "Description" which maps to the content that will be shown in the UI.

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

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def clone(): AnyRef

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final def eq(arg0: AnyRef): Boolean

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def finalize(): Unit

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protected[java.lang]
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@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
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Annotations
@native()
val inputStreamId: Int
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val metadata: Map[String, Any]
def metadataDescription: Option[String]
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
Annotations
@native()
final def notifyAll(): Unit

Definition Classes
AnyRef
Annotations
@native()
val numRecords: Long
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
final def wait(): Unit

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

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

Definition Classes
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@native() @throws( ... )

Packages

StreamInputInfo

Companion object StreamInputInfo

case class StreamInputInfo(inputStreamId: Int, numRecords: Long, metadata: Map[String, Any] = Map.empty) extends Product with Serializable

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StreamInputInfo 

Companion object StreamInputInfo

case class StreamInputInfo(inputStreamId: Int, numRecords: Long, metadata: Map[String, Any] = Map.empty) extends Product with Serializable

Instance Constructors

Value Members

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

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StreamInputInfo