Spark 4.0.1 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 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 cluster
Definition Classes
scheduler
AccumulableInfo
InputFormatInfo
JobFailed
JobResult
JobSucceeded
MiscellaneousProcessDetails
SchedulingMode
SparkListener
SparkListenerApplicationEnd
SparkListenerApplicationStart
SparkListenerBlockManagerAdded
SparkListenerBlockManagerRemoved
SparkListenerBlockUpdated
SparkListenerEnvironmentUpdate
SparkListenerEvent
SparkListenerExecutorAdded
SparkListenerExecutorBlacklisted
SparkListenerExecutorBlacklistedForStage
SparkListenerExecutorExcluded
SparkListenerExecutorExcludedForStage
SparkListenerExecutorMetricsUpdate
SparkListenerExecutorRemoved
SparkListenerExecutorUnblacklisted
SparkListenerExecutorUnexcluded
SparkListenerJobEnd
SparkListenerJobStart
SparkListenerLogStart
SparkListenerMiscellaneousProcessAdded
SparkListenerNodeBlacklisted
SparkListenerNodeBlacklistedForStage
SparkListenerNodeExcluded
SparkListenerNodeExcludedForStage
SparkListenerNodeUnblacklisted
SparkListenerNodeUnexcluded
SparkListenerResourceProfileAdded
SparkListenerSpeculativeTaskSubmitted
SparkListenerStageCompleted
SparkListenerStageExecutorMetrics
SparkListenerStageSubmitted
SparkListenerTaskEnd
SparkListenerTaskGettingResult
SparkListenerTaskStart
SparkListenerUnpersistRDD
SparkListenerUnschedulableTaskSetAdded
SparkListenerUnschedulableTaskSetRemoved
SplitInfo
StageInfo
StatsReportListener
TaskInfo
TaskLocality

org.apache.spark.scheduler

SplitInfo

Companion object SplitInfo

class SplitInfo extends AnyRef

Annotations: @DeveloperApi()
Source: SplitInfo.scala

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SplitInfo
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new SplitInfo(inputFormatClazz: Class[_], hostLocation: String, path: String, length: Long, underlyingSplit: Any)

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final def ##: Int
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final def eq(arg0: AnyRef): Boolean
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def equals(other: Any): Boolean
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final def getClass(): Class[_ <: AnyRef]
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def hashCode(): Int
Definition Classes
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val hostLocation: String
val inputFormatClazz: Class[_]
final def isInstanceOf[T0]: Boolean
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val length: Long
final def ne(arg0: AnyRef): Boolean
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final def notify(): Unit
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final def notifyAll(): Unit
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@IntrinsicCandidate() @native()
val path: String
final def synchronized[T0](arg0: => T0): T0
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def toString(): String
Definition Classes
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val underlyingSplit: Any
final def wait(arg0: Long, arg1: Int): Unit
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final def wait(arg0: Long): Unit
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final def wait(): Unit
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def finalize(): Unit
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Deprecated
(Since version 9)

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SplitInfo

Companion object SplitInfo

class SplitInfo extends AnyRef

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SplitInfo

Companion object SplitInfo

class SplitInfo extends AnyRef

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SplitInfo