Spark 4.0.0-preview2 ScalaDoc < Back

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package root
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root
package org
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root
package apache
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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 sql
Allows the execution of relational queries, including those expressed in SQL using Spark.
Allows the execution of relational queries, including those expressed in SQL using Spark.
Definition Classes
spark
package expressions
Definition Classes
sql
package javalang
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expressions
package scalalang
Definition Classes
expressions
Aggregator
MutableAggregationBuffer
SparkUserDefinedFunction
UserDefinedAggregateFunction
UserDefinedFunction
Window
WindowSpec

org.apache.spark.sql.expressions

Window

Companion object Window

class Window extends AnyRef

Utility functions for defining window in DataFrames.

// PARTITION BY country ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
Window.partitionBy("country").orderBy("date")
  .rowsBetween(Window.unboundedPreceding, Window.currentRow)

// PARTITION BY country ORDER BY date ROWS BETWEEN 3 PRECEDING AND 3 FOLLOWING
Window.partitionBy("country").orderBy("date").rowsBetween(-3, 3)

Annotations: @Stable()
Source: Window.scala
Since: 1.4.0

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Deprecated
(Since version 9)

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Window

Companion object Window

class Window extends AnyRef

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Window

Companion object Window

class Window extends AnyRef

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Window