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

•  class SparkSession extends sql.api.SparkSession[Dataset] with Logging

  The entry point to programming Spark with the Dataset and DataFrame API.

  The entry point to programming Spark with the Dataset and DataFrame API.

  In environments that this has been created upfront (e.g. REPL, notebooks), use the builder to get an existing session:

  SparkSession.builder().getOrCreate()

  The builder can also be used to create a new session:

  SparkSession.builder
    .master("local")
    .appName("Word Count")
    .config("spark.some.config.option", "some-value")
    .getOrCreate()

  Definition Classes

  sql

  Annotations

  @Stable()

• LogStringContext
• implicits

org.apache.spark.sql.SparkSession

implicits