:: DeveloperApi :: Thrown when a query fails to analyze, usually because the query itself is invalid.
:: Experimental :: A column in a DataFrame.
:: Experimental :: A convenient class used for constructing schema.
:: Experimental :: A distributed collection of data organized into named columns.
:: Experimental :: Functionality for working with missing data in DataFrames.
:: Experimental :: Interface used to load a DataFrame from external storage systems (e.
:: Experimental :: Statistic functions for DataFrames.
:: Experimental :: Interface used to write a DataFrame to external storage systems (e.
:: Experimental :: Holder for experimental methods for the bravest.
:: Experimental :: A set of methods for aggregations on a DataFrame, created by DataFrame.groupBy.
Represents one row of output from a relational operator.
The entry point for working with structured data (rows and columns) in Spark.
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
Functions for registering user-defined functions.
A user-defined function.
Type alias for DataFrame.
Type alias for DataFrame. Kept here for backward source compatibility for Scala.
(Since version use DataFrame) 1.3.0
This SQLContext object contains utility functions to create a singleton SQLContext instance, or to get the last created SQLContext instance.
Contains API classes that are specific to a single language (i.
:: Experimental :: Functions available for DataFrame.
Support for running Spark SQL queries using functionality from Apache Hive (does not require an existing Hive installation).
A set of APIs for adding data sources to Spark SQL.
Contains a type system for attributes produced by relations, including complex types like structs, arrays and maps.
Allows the execution of relational queries, including those expressed in SQL using Spark.