Spark 4.0.0-preview2 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 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 connector
Definition Classes
sql
package read
Definition Classes
connector
package partitioning
Definition Classes
read
KeyGroupedPartitioning
Partitioning
UnknownPartitioning

org.apache.spark.sql.connector.read.partitioning

Partitioning

trait Partitioning extends AnyRef

An interface to represent the output data partitioning for a data source, which is returned by SupportsReportPartitioning#outputPartitioning().

Note: implementors should NOT directly implement this interface. Instead, they should use one of the following subclasses:

Annotations: @Evolving()
Source: Partitioning.java
Since: 3.0.0

Linear Supertypes

AnyRef, Any

Known Subclasses

KeyGroupedPartitioning, UnknownPartitioning

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abstract def numPartitions(): Int
Returns the number of partitions that the data is split across.

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final def !=(arg0: Any): Boolean
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final def ##: Int
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def finalize(): Unit
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Deprecated
(Since version 9)

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Partitioning

trait Partitioning extends AnyRef

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Partitioning

trait Partitioning extends AnyRef

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Partitioning