Spark 4.1.0-preview3 ScalaDoc < Back

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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()
Source: InputInfoTracker.scala

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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
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final def ##: Int
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final def ==(arg0: Any): Boolean
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final def asInstanceOf[T0]: T0
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def clone(): AnyRef
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final def eq(arg0: AnyRef): Boolean
Definition Classes
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final def getClass(): Class[_ <: AnyRef]
Definition Classes
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@IntrinsicCandidate() @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
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@IntrinsicCandidate() @native()
final def notifyAll(): Unit
Definition Classes
AnyRef
Annotations
@IntrinsicCandidate() @native()
val numRecords: Long
def productElementNames: Iterator[String]
Definition Classes
Product
final def synchronized[T0](arg0: => T0): T0
Definition Classes
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final def wait(arg0: Long, arg1: Int): Unit
Definition Classes
AnyRef
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@throws(classOf[java.lang.InterruptedException])
final def wait(arg0: Long): Unit
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@throws(classOf[java.lang.InterruptedException]) @native()
final def wait(): Unit
Definition Classes
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@throws(classOf[java.lang.InterruptedException])

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def finalize(): Unit
Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws(classOf[java.lang.Throwable]) @Deprecated
Deprecated
(Since version 9)

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

Deprecated Value Members

Inherited from Serializable

Inherited from Product

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Inherited from AnyRef

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StreamInputInfo