b9eafcb526
### What changes were proposed in this pull request? Based on the discussion in the mailing list [[Proposal] Modification to Spark's Semantic Versioning Policy](http://apache-spark-developers-list.1001551.n3.nabble.com/Proposal-Modification-to-Spark-s-Semantic-Versioning-Policy-td28938.html) , this PR is to add back the following APIs whose maintenance cost are relatively small. - HiveContext - createExternalTable APIs ### Why are the changes needed? Avoid breaking the APIs that are commonly used. ### Does this PR introduce any user-facing change? Adding back the APIs that were removed in 3.0 branch does not introduce the user-facing changes, because Spark 3.0 has not been released. ### How was this patch tested? add a new test suite for createExternalTable APIs. Closes #27815 from gatorsmile/addAPIsBack. Lead-authored-by: gatorsmile <gatorsmile@gmail.com> Co-authored-by: yi.wu <yi.wu@databricks.com> Signed-off-by: gatorsmile <gatorsmile@gmail.com>
63 lines
2.6 KiB
Python
63 lines
2.6 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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"""
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Important classes of Spark SQL and DataFrames:
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- :class:`pyspark.sql.SparkSession`
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Main entry point for :class:`DataFrame` and SQL functionality.
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- :class:`pyspark.sql.DataFrame`
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A distributed collection of data grouped into named columns.
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- :class:`pyspark.sql.Column`
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A column expression in a :class:`DataFrame`.
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- :class:`pyspark.sql.Row`
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A row of data in a :class:`DataFrame`.
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- :class:`pyspark.sql.GroupedData`
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Aggregation methods, returned by :func:`DataFrame.groupBy`.
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- :class:`pyspark.sql.DataFrameNaFunctions`
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Methods for handling missing data (null values).
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- :class:`pyspark.sql.DataFrameStatFunctions`
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Methods for statistics functionality.
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- :class:`pyspark.sql.functions`
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List of built-in functions available for :class:`DataFrame`.
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- :class:`pyspark.sql.types`
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List of data types available.
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- :class:`pyspark.sql.Window`
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For working with window functions.
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"""
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from __future__ import absolute_import
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from pyspark.sql.types import Row
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from pyspark.sql.context import SQLContext, HiveContext, UDFRegistration
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from pyspark.sql.session import SparkSession
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from pyspark.sql.column import Column
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from pyspark.sql.catalog import Catalog
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from pyspark.sql.dataframe import DataFrame, DataFrameNaFunctions, DataFrameStatFunctions
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from pyspark.sql.group import GroupedData
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from pyspark.sql.readwriter import DataFrameReader, DataFrameWriter
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from pyspark.sql.window import Window, WindowSpec
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from pyspark.sql.pandas.group_ops import PandasCogroupedOps
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__all__ = [
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'SparkSession', 'SQLContext', 'HiveContext', 'UDFRegistration',
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'DataFrame', 'GroupedData', 'Column', 'Catalog', 'Row',
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'DataFrameNaFunctions', 'DataFrameStatFunctions', 'Window', 'WindowSpec',
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'DataFrameReader', 'DataFrameWriter', 'PandasCogroupedOps'
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]
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