Spark 3.0.0 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 util
Spark utilities.
Spark utilities.

Definition Classes
spark
package sketch

Definition Classes
util
BloomFilter
CountMinSketch
IncompatibleMergeException

c

org.apache.spark.util.sketch

CountMinSketch

abstract class CountMinSketch extends AnyRef

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new CountMinSketch()

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abstract def add(item: Any, count: Long): Unit
abstract def add(item: Any): Unit
abstract def addBinary(item: Array[Byte], count: Long): Unit
abstract def addBinary(item: Array[Byte]): Unit
abstract def addLong(item: Long, count: Long): Unit
abstract def addLong(item: Long): Unit
abstract def addString(item: String, count: Long): Unit
abstract def addString(item: String): Unit
abstract def confidence(): Double
abstract def depth(): Int
abstract def estimateCount(item: Any): Long
abstract def mergeInPlace(other: CountMinSketch): CountMinSketch
abstract def relativeError(): Double
abstract def toByteArray(): Array[Byte]
abstract def totalCount(): Long
abstract def width(): Int
abstract def writeTo(out: OutputStream): Unit

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final def !=(arg0: Any): Boolean

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