Packages

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.

Definition Classes: spark

package api

Contains API classes that are specific to a single language (i.e.

Contains API classes that are specific to a single language (i.e. Java).

Definition Classes: sql

package catalog

Definition Classes: sql

package expressions

Definition Classes: sql

package hive

Support for running Spark SQL queries using functionality from Apache Hive (does not require an existing Hive installation).

Support for running Spark SQL queries using functionality from Apache Hive (does not require an existing Hive installation). Supported Hive features include:

Using HiveQL to express queries.
Reading metadata from the Hive Metastore using HiveSerDes.
Hive UDFs, UDAs, UDTs

Users that would like access to this functionality should create a HiveContext instead of a SQLContext.

Definition Classes: sql

package jdbc

Definition Classes: sql

package sources

A set of APIs for adding data sources to Spark SQL.

Definition Classes: sql

package streaming

Definition Classes: sql

package types

Contains a type system for attributes produced by relations, including complex types like structs, arrays and maps.

Definition Classes: sql

package util

Definition Classes: sql

package vectorized

Definition Classes: sql

AnalysisException

Column

ColumnName

DataFrameNaFunctions

DataFrameReader

DataFrameStatFunctions

DataFrameWriter

Dataset

DatasetHolder

Encoder

Encoders

ExperimentalMethods

ForeachWriter

KeyValueGroupedDataset

LowPrioritySQLImplicits

RelationalGroupedDataset

Row

RowFactory

RuntimeConfig

SQLContext

SQLImplicits

SaveMode

SparkSession

SparkSessionExtensions

TypedColumn

UDFRegistration

functions

org.apache.spark.sql

Row

Companion trait Row

object Row extends Serializable

Annotations: @Stable()
Since: 1.3.0

Linear Supertypes

Serializable, Serializable, AnyRef, Any

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final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def apply(values: Any*): Row
This method can be used to construct a Row with the given values.
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@native() @throws( ... )
val empty: Row
Returns an empty row.
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def fromSeq(values: Seq[Any]): Row
This method can be used to construct a Row from a Seq of values.
def fromTuple(tuple: Product): Row
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
Annotations
@native()
def hashCode(): Int

Definition Classes
AnyRef → Any
Annotations
@native()
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def merge(rows: Row*): Row
Merge multiple rows into a single row, one after another.
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
Annotations
@native()
final def notifyAll(): Unit

Definition Classes
AnyRef
Annotations
@native()
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def unapplySeq(row: Row): Some[Seq[Any]]
This method can be used to extract fields from a Row object in a pattern match.
This method can be used to extract fields from a Row object in a pattern match. Example:
```
import org.apache.spark.sql._

val pairs = sql("SELECT key, value FROM src").rdd.map {
  case Row(key: Int, value: String) =>
    key -> value
}
```
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@native() @throws( ... )

Packages

Row

Companion trait Row

object Row extends Serializable

Value Members

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped

Packages

Row 

Companion trait Row

object Row extends Serializable

Value Members

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped

Row