Source code for pyspark.sql
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"""
Important classes of Spark SQL and DataFrames:
- L{SQLContext}
Main entry point for :class:`DataFrame` and SQL functionality.
- L{DataFrame}
A distributed collection of data grouped into named columns.
- L{Column}
A column expression in a :class:`DataFrame`.
- L{Row}
A row of data in a :class:`DataFrame`.
- L{HiveContext}
Main entry point for accessing data stored in Apache Hive.
- L{GroupedData}
Aggregation methods, returned by :func:`DataFrame.groupBy`.
- L{DataFrameNaFunctions}
Methods for handling missing data (null values).
- L{functions}
List of built-in functions available for :class:`DataFrame`.
- L{types}
List of data types available.
"""
from pyspark.sql.context import SQLContext, HiveContext
from pyspark.sql.types import Row
from pyspark.sql.dataframe import DataFrame, GroupedData, Column, SchemaRDD, DataFrameNaFunctions
__all__ = [
'SQLContext', 'HiveContext', 'DataFrame', 'GroupedData', 'Column', 'Row', 'DataFrameNaFunctions'
]