Spark 3.5.3 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 colstats

Definition Classes
read
package partitioning

Definition Classes
read
package streaming

Definition Classes
read
Batch
HasPartitionKey
InputPartition
LocalScan
PartitionReader
PartitionReaderFactory
Scan
ScanBuilder
Statistics
SupportsPushDownAggregates
SupportsPushDownFilters
SupportsPushDownLimit
SupportsPushDownOffset
SupportsPushDownRequiredColumns
SupportsPushDownTableSample
SupportsPushDownTopN
SupportsPushDownV2Filters
SupportsReportOrdering
SupportsReportPartitioning
SupportsReportStatistics
SupportsRuntimeFiltering
SupportsRuntimeV2Filtering
V1Scan

org.apache.spark.sql.connector.read

Scan

trait Scan extends AnyRef

Annotations: @Evolving()
Source: Scan.java

Linear Supertypes

AnyRef, Any

Known Subclasses

LocalScan, SupportsReportOrdering, SupportsReportPartitioning, SupportsReportStatistics, SupportsRuntimeFiltering, SupportsRuntimeV2Filtering, V1Scan

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abstract def readSchema(): StructType

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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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def columnarSupportMode(): ColumnarSupportMode
def description(): String
final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

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def finalize(): Unit

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@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

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@native()
def hashCode(): Int

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@native()
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()
def reportDriverMetrics(): Array[CustomTaskMetric]
def supportedCustomMetrics(): Array[CustomMetric]
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toBatch(): Batch
def toContinuousStream(checkpointLocation: String): ContinuousStream
def toMicroBatchStream(checkpointLocation: String): MicroBatchStream
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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@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
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Packages

Scan

trait Scan extends AnyRef

Abstract Value Members

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Scan 

trait Scan extends AnyRef

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Scan