Spark 3.0.0 ScalaDoc < Back

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.
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.
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.
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

RuntimeConfig

class RuntimeConfig extends AnyRef

Runtime configuration interface for Spark. To access this, use SparkSession.conf.

Options set here are automatically propagated to the Hadoop configuration during I/O.

Annotations: @Stable()
Since: 2.0.0

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final def ##(): Int

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final def ==(arg0: Any): Boolean

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final def asInstanceOf[T0]: T0

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def clone(): AnyRef

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protected[java.lang]
Definition Classes
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@native() @throws( ... )
def contains(key: String): Boolean
Returns whether a particular key is set.
Returns whether a particular key is set.

Attributes
protected[org.apache.spark.sql]
final def eq(arg0: AnyRef): Boolean

Definition Classes
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def equals(arg0: Any): Boolean

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def finalize(): Unit

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protected[java.lang]
Definition Classes
AnyRef
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@throws( classOf[java.lang.Throwable] )
def get[T](entry: ConfigEntry[T], default: T): T
Returns the value of Spark runtime configuration property for the given key.
Returns the value of Spark runtime configuration property for the given key.

Attributes
protected[org.apache.spark.sql]
def get[T](entry: OptionalConfigEntry[T]): Option[T]

Attributes
protected[org.apache.spark.sql]
def get[T](entry: ConfigEntry[T]): T
Returns the value of Spark runtime configuration property for the given key.
Returns the value of Spark runtime configuration property for the given key.

Attributes
protected[org.apache.spark.sql]
Annotations
@throws( "if the key is not set" )
def get(key: String, default: String): String
Returns the value of Spark runtime configuration property for the given key.
Returns the value of Spark runtime configuration property for the given key.

Since
2.0.0
def get(key: String): String
Returns the value of Spark runtime configuration property for the given key.
Returns the value of Spark runtime configuration property for the given key.

Annotations
@throws( "if the key is not set" )
Since
2.0.0
Exceptions thrown
java.util.NoSuchElementException if the key is not set and does not have a default value
def getAll: Map[String, String]
Returns all properties set in this conf.
Returns all properties set in this conf.

Since
2.0.0
final def getClass(): Class[_]

Definition Classes
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Annotations
@native()
def getOption(key: String): Option[String]
Returns the value of Spark runtime configuration property for the given key.
Returns the value of Spark runtime configuration property for the given key.

Since
2.0.0
def hashCode(): Int

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

Definition Classes
Any
def isModifiable(key: String): Boolean
Indicates whether the configuration property with the given key is modifiable in the current session.
Indicates whether the configuration property with the given key is modifiable in the current session.
returns
true if the configuration property is modifiable. For static SQL, Spark Core, invalid (not existing) and other non-modifiable configuration properties, the returned value is false.

Since
2.4.0
final def ne(arg0: AnyRef): Boolean

Definition Classes
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final def notify(): Unit

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

Definition Classes
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@native()
def set(key: String, value: Long): Unit
Sets the given Spark runtime configuration property.
Sets the given Spark runtime configuration property.

Since
2.0.0
def set(key: String, value: Boolean): Unit
Sets the given Spark runtime configuration property.
Sets the given Spark runtime configuration property.

Since
2.0.0
def set(key: String, value: String): Unit
Sets the given Spark runtime configuration property.
Sets the given Spark runtime configuration property.

Since
2.0.0
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
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def toString(): String

Definition Classes
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def unset(key: String): Unit
Resets the configuration property for the given key.
Resets the configuration property for the given key.

Since
2.0.0
final def wait(): Unit

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

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@throws( ... )
final def wait(arg0: Long): Unit

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Packages

RuntimeConfig

class RuntimeConfig extends AnyRef

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class RuntimeConfig extends AnyRef

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RuntimeConfig