Spark 3.0.0-preview2 ScalaDoc < Back

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package root

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root
package org

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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 util

Definition Classes
sql
ArrowUtils
CaseInsensitiveStringMap
ExecutionListenerManager
QueryExecutionListener

org.apache.spark.sql.util

ArrowUtils

object ArrowUtils

Source: ArrowUtils.scala

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def fromArrowField(field: Field): DataType
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def fromArrowType(dt: ArrowType): DataType
final def getClass(): Class[_]

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def getPythonRunnerConfMap(conf: SQLConf): Map[String, String]
Return Map with conf settings to be used in ArrowPythonRunner
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val rootAllocator: RootAllocator
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def toArrowField(name: String, dt: DataType, nullable: Boolean, timeZoneId: String): Field
Maps field from Spark to Arrow.
Maps field from Spark to Arrow. NOTE: timeZoneId required for TimestampType
def toArrowSchema(schema: StructType, timeZoneId: String): Schema
Maps schema from Spark to Arrow.
Maps schema from Spark to Arrow. NOTE: timeZoneId required for TimestampType in StructType
def toArrowType(dt: DataType, timeZoneId: String): ArrowType
Maps data type from Spark to Arrow.
Maps data type from Spark to Arrow. NOTE: timeZoneId required for TimestampTypes
def toString(): String

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ArrowUtils

object ArrowUtils

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ArrowUtils 

object ArrowUtils

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ArrowUtils