| # |
| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You under the Apache License, Version 2.0 |
| # (the "License"); you may not use this file except in compliance with |
| # the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| """ |
| Important classes of Spark SQL and DataFrames: |
| |
| - :class:`pyspark.sql.SparkSession` |
| Main entry point for :class:`DataFrame` and SQL functionality. |
| - :class:`pyspark.sql.DataFrame` |
| A distributed collection of data grouped into named columns. |
| - :class:`pyspark.sql.Column` |
| A column expression in a :class:`DataFrame`. |
| - :class:`pyspark.sql.Row` |
| A row of data in a :class:`DataFrame`. |
| - :class:`pyspark.sql.GroupedData` |
| Aggregation methods, returned by :func:`DataFrame.groupBy`. |
| - :class:`pyspark.sql.DataFrameNaFunctions` |
| Methods for handling missing data (null values). |
| - :class:`pyspark.sql.DataFrameStatFunctions` |
| Methods for statistics functionality. |
| - :class:`pyspark.sql.functions` |
| List of built-in functions available for :class:`DataFrame`. |
| - :class:`pyspark.sql.types` |
| List of data types available. |
| - :class:`pyspark.sql.Window` |
| For working with window functions. |
| """ |
| from __future__ import absolute_import |
| |
| |
| from pyspark.sql.types import Row |
| from pyspark.sql.context import SQLContext, HiveContext, UDFRegistration |
| from pyspark.sql.session import SparkSession |
| from pyspark.sql.column import Column |
| from pyspark.sql.catalog import Catalog |
| from pyspark.sql.dataframe import DataFrame, DataFrameNaFunctions, DataFrameStatFunctions |
| from pyspark.sql.group import GroupedData |
| from pyspark.sql.readwriter import DataFrameReader, DataFrameWriter |
| from pyspark.sql.window import Window, WindowSpec |
| |
| |
| __all__ = [ |
| 'SparkSession', 'SQLContext', 'HiveContext', 'UDFRegistration', |
| 'DataFrame', 'GroupedData', 'Column', 'Catalog', 'Row', |
| 'DataFrameNaFunctions', 'DataFrameStatFunctions', 'Window', 'WindowSpec', |
| 'DataFrameReader', 'DataFrameWriter' |
| ] |