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package root

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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 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
AlwaysFalse
AlwaysTrue
And
BaseRelation
CatalystScan
CreatableRelationProvider
DataSourceRegister
EqualNullSafe
EqualTo
Filter
GreaterThan
GreaterThanOrEqual
In
InsertableRelation
IsNotNull
IsNull
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Not
Or
PrunedFilteredScan
PrunedScan
RelationProvider
SchemaRelationProvider
StreamSinkProvider
StreamSourceProvider
StringContains
StringEndsWith
StringStartsWith
TableScan

t

org.apache.spark.sql.sources

PrunedScan

trait PrunedScan extends AnyRef

A BaseRelation that can eliminate unneeded columns before producing an RDD containing all of its tuples as Row objects.

Annotations: @Stable()
Source: interfaces.scala
Since: 1.3.0

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abstract def buildScan(requiredColumns: Array[String]): RDD[Row]

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final def !=(arg0: Any): Boolean

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final def ==(arg0: Any): Boolean

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final def notifyAll(): Unit

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@native()
final def synchronized[T0](arg0: ⇒ T0): T0

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def toString(): String

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final def wait(): Unit

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

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final def wait(arg0: Long): Unit

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final def asInstanceOf[T0]: T0

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final def isInstanceOf[T0]: Boolean

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abstract def buildScan(requiredColumns: Array[String]): RDD[Row]
final def !=(arg0: Any): Boolean

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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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final def eq(arg0: AnyRef): Boolean

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def finalize(): Unit

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final def getClass(): Class[_]

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final def isInstanceOf[T0]: Boolean

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final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

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@native()
final def notifyAll(): Unit

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@native()
final def synchronized[T0](arg0: ⇒ T0): T0

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def toString(): String

Definition Classes
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final def wait(): Unit

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

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

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