package sql

Allows the execution of relational queries, including those expressed in SQL using Spark.

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Type Members

  1. class Column extends AnyRef

    :: Experimental :: A column in a DataFrame.

  2. class ColumnName extends Column

    :: Experimental :: A convenient class used for constructing schema.

  3. class DataFrame extends RDDApi[Row] with Serializable

    :: Experimental :: A distributed collection of data organized into named columns.

  4. class ExperimentalMethods extends AnyRef

    :: Experimental :: Holder for experimental methods for the bravest.

  5. class GroupedData extends AnyRef

    :: Experimental :: A set of methods for aggregations on a DataFrame, created by DataFrame.groupBy.

  6. class SQLContext extends Logging with Serializable

    The entry point for working with structured data (rows and columns) in Spark.

  7. class SaveMode extends Enum[SaveMode]

  8. type Strategy = GenericStrategy[SparkPlan]

    Converts a logical plan into zero or more SparkPlans.

    Converts a logical plan into zero or more SparkPlans. This API is exposed for experimenting with the query planner and is not designed to be stable across spark releases. Developers writing libraries should instead consider using the stable APIs provided in org.apache.spark.sql.sources

  9. class UDFRegistration extends Logging

    Functions for registering user-defined functions.

  10. case class UserDefinedFunction(f: AnyRef, dataType: DataType) extends Product with Serializable

    A user-defined function.

  11. type SchemaRDD = DataFrame

    Type alias for DataFrame.

    Type alias for DataFrame. Kept here for backward source compatibility for Scala.


    (Since version use DataFrame) 1.3.0

Value Members

  1. package api

    Contains API classes that are specific to a single language (i.

  2. object functions

    :: Experimental :: Functions available for DataFrame.

  3. package hive

    Support for running Spark SQL queries using functionality from Apache Hive (does not require an existing Hive installation).

  4. package sources

    A set of APIs for adding data sources to Spark SQL.

  5. package test

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