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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/09/04 01:42:27 UTC
[GitHub] [spark] srowen commented on a change in pull request #29640: [SPARK-32180][PYTHON][DOCS] Installation page of Getting Started in PySpark documentation
srowen commented on a change in pull request #29640:
URL: https://github.com/apache/spark/pull/29640#discussion_r483338273
##########
File path: python/docs/source/getting_started/index.rst
##########
@@ -20,7 +20,10 @@
Getting Started
===============
+This page lists an overview of the basic steps required to setup & get started with PySpark.
Review comment:
"This page summarizes the basic steps ..."
& -> and
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
Review comment:
"Official releases are available from ..."
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
+Alternatively, you can also install it via pip from PyPI. PyPI installation is usually to use
+standalone locally or as a client to connect to a cluster instead of setting a cluster up.
+
+This page includes the instructions for installing PySpark by using pip, Conda, downloading manually, and building it from the source.
+
+Python Version Supported
+------------------------
+
+Python 3.6 and above.
+
+Using PyPI
+----------
+
+PySpark installation using `PyPI <https://pypi.org/project/pyspark/>`_
+
+.. code-block:: bash
+
+ pip install pyspark
+
+Using Conda
+-----------
+
+Conda is an open-source package management and environment management system which is a part of `Anaconda <https://docs.continuum.io/anaconda/>`_ distribution. It is both cross-platform and language agnostic.
+
+Conda can be used to create a virtual environment from terminal as shown below:
+
+.. code-block:: bash
+
+ conda create -n pyspark_env
+
+After the virtual environment is created, it should be visible under the list of conda environments which can be seen using the following command:
+
+.. code-block:: bash
+
+ conda env list
+
+The newly created environment can be accessed using the following command:
+
+.. code-block:: bash
+
+ conda activate pyspark_env
+
+In lower Conda version, the following command might be used:
+
+.. code-block:: bash
+
+ source activate pyspark_env
+
+PySpark installation using ``pip`` under Conda environment is official.
+
+PySpark can be installed in this newly created environment using PyPI as shown before:
Review comment:
Why repeat this?
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
+Alternatively, you can also install it via pip from PyPI. PyPI installation is usually to use
+standalone locally or as a client to connect to a cluster instead of setting a cluster up.
+
+This page includes the instructions for installing PySpark by using pip, Conda, downloading manually, and building it from the source.
+
+Python Version Supported
+------------------------
+
+Python 3.6 and above.
+
+Using PyPI
+----------
+
+PySpark installation using `PyPI <https://pypi.org/project/pyspark/>`_
+
+.. code-block:: bash
+
+ pip install pyspark
+
+Using Conda
+-----------
+
+Conda is an open-source package management and environment management system which is a part of `Anaconda <https://docs.continuum.io/anaconda/>`_ distribution. It is both cross-platform and language agnostic.
+
+Conda can be used to create a virtual environment from terminal as shown below:
+
+.. code-block:: bash
+
+ conda create -n pyspark_env
+
+After the virtual environment is created, it should be visible under the list of conda environments which can be seen using the following command:
+
+.. code-block:: bash
+
+ conda env list
+
+The newly created environment can be accessed using the following command:
+
+.. code-block:: bash
+
+ conda activate pyspark_env
+
+In lower Conda version, the following command might be used:
Review comment:
In earlier Conda versions ... should be used:
(earlier than what?)
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
+Alternatively, you can also install it via pip from PyPI. PyPI installation is usually to use
+standalone locally or as a client to connect to a cluster instead of setting a cluster up.
+
+This page includes the instructions for installing PySpark by using pip, Conda, downloading manually, and building it from the source.
+
+Python Version Supported
+------------------------
+
+Python 3.6 and above.
+
+Using PyPI
+----------
+
+PySpark installation using `PyPI <https://pypi.org/project/pyspark/>`_
+
+.. code-block:: bash
+
+ pip install pyspark
+
+Using Conda
+-----------
+
+Conda is an open-source package management and environment management system which is a part of `Anaconda <https://docs.continuum.io/anaconda/>`_ distribution. It is both cross-platform and language agnostic.
+
+Conda can be used to create a virtual environment from terminal as shown below:
+
+.. code-block:: bash
+
+ conda create -n pyspark_env
+
+After the virtual environment is created, it should be visible under the list of conda environments which can be seen using the following command:
+
+.. code-block:: bash
+
+ conda env list
+
+The newly created environment can be accessed using the following command:
+
+.. code-block:: bash
+
+ conda activate pyspark_env
+
+In lower Conda version, the following command might be used:
+
+.. code-block:: bash
+
+ source activate pyspark_env
+
+PySpark installation using ``pip`` under Conda environment is official.
+
+PySpark can be installed in this newly created environment using PyPI as shown before:
+
+.. code-block:: bash
+
+ pip install pyspark
+
+`PySpark at Conda <https://anaconda.org/conda-forge/pyspark>`_ is not the official release.
+
+Official Release Channel
+------------------------
+
+Different flavor of PySpark is available in `the official release channel <https://spark.apache.org/downloads.html>`_.
+Any suitable version can be downloaded and extracted as below:
+
+.. code-block:: bash
+
+ tar xzvf spark-3.0.0-bin-hadoop2.7.tgz
+
+An important step is to ensure ``SPARK_HOME`` environment variable points to the directory where the code has been extracted.
Review comment:
Ensure the `SPARK_HOME` ...
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
+Alternatively, you can also install it via pip from PyPI. PyPI installation is usually to use
+standalone locally or as a client to connect to a cluster instead of setting a cluster up.
+
+This page includes the instructions for installing PySpark by using pip, Conda, downloading manually, and building it from the source.
+
+Python Version Supported
+------------------------
+
+Python 3.6 and above.
+
+Using PyPI
+----------
+
+PySpark installation using `PyPI <https://pypi.org/project/pyspark/>`_
+
+.. code-block:: bash
+
+ pip install pyspark
+
+Using Conda
+-----------
+
+Conda is an open-source package management and environment management system which is a part of `Anaconda <https://docs.continuum.io/anaconda/>`_ distribution. It is both cross-platform and language agnostic.
+
+Conda can be used to create a virtual environment from terminal as shown below:
+
+.. code-block:: bash
+
+ conda create -n pyspark_env
+
+After the virtual environment is created, it should be visible under the list of conda environments which can be seen using the following command:
+
+.. code-block:: bash
+
+ conda env list
+
+The newly created environment can be accessed using the following command:
+
+.. code-block:: bash
+
+ conda activate pyspark_env
+
+In lower Conda version, the following command might be used:
+
+.. code-block:: bash
+
+ source activate pyspark_env
+
+PySpark installation using ``pip`` under Conda environment is official.
+
+PySpark can be installed in this newly created environment using PyPI as shown before:
+
+.. code-block:: bash
+
+ pip install pyspark
+
+`PySpark at Conda <https://anaconda.org/conda-forge/pyspark>`_ is not the official release.
+
+Official Release Channel
+------------------------
+
+Different flavor of PySpark is available in `the official release channel <https://spark.apache.org/downloads.html>`_.
+Any suitable version can be downloaded and extracted as below:
+
+.. code-block:: bash
+
+ tar xzvf spark-3.0.0-bin-hadoop2.7.tgz
+
+An important step is to ensure ``SPARK_HOME`` environment variable points to the directory where the code has been extracted.
+The next step is to properly define ``PYTHONPATH`` such that it can find the PySpark and
+Py4J under ``$SPARK_HOME/python/lib``, one example of doing this is shown below:
+
+.. code-block:: bash
+
+ cd spark-3.0.0-bin-hadoop2.7
+ export SPARK_HOME=`pwd`
+ export PYTHONPATH=$(ZIPS=("$SPARK_HOME"/python/lib/*.zip); IFS=:; echo "${ZIPS[*]}"):$PYTHONPATH
+
+Installing from Source
+----------------------
+
+To install PySpark from source, refer `Building Spark <https://spark.apache.org/docs/latest/building-spark.html>`_.
+
+Steps for defining ``PYTHONPATH`` is same as described in `Official Release Channel <#official-release-channel>`_.
Review comment:
Refer to ... for steps to define `PYTHON_PATH`
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
+Alternatively, you can also install it via pip from PyPI. PyPI installation is usually to use
+standalone locally or as a client to connect to a cluster instead of setting a cluster up.
+
+This page includes the instructions for installing PySpark by using pip, Conda, downloading manually, and building it from the source.
+
+Python Version Supported
+------------------------
+
+Python 3.6 and above.
+
+Using PyPI
+----------
+
+PySpark installation using `PyPI <https://pypi.org/project/pyspark/>`_
+
+.. code-block:: bash
+
+ pip install pyspark
+
+Using Conda
+-----------
+
+Conda is an open-source package management and environment management system which is a part of `Anaconda <https://docs.continuum.io/anaconda/>`_ distribution. It is both cross-platform and language agnostic.
+
+Conda can be used to create a virtual environment from terminal as shown below:
+
+.. code-block:: bash
+
+ conda create -n pyspark_env
+
+After the virtual environment is created, it should be visible under the list of conda environments which can be seen using the following command:
Review comment:
I would use Conda or `conda` consistently, depending on whether you mean the product or command
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
+Alternatively, you can also install it via pip from PyPI. PyPI installation is usually to use
Review comment:
remove "also"
pip -> `pip`
"is usually for standalone..."
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
+Alternatively, you can also install it via pip from PyPI. PyPI installation is usually to use
+standalone locally or as a client to connect to a cluster instead of setting a cluster up.
+
+This page includes the instructions for installing PySpark by using pip, Conda, downloading manually, and building it from the source.
+
+Python Version Supported
+------------------------
+
+Python 3.6 and above.
+
+Using PyPI
+----------
+
+PySpark installation using `PyPI <https://pypi.org/project/pyspark/>`_
+
+.. code-block:: bash
+
+ pip install pyspark
+
+Using Conda
+-----------
+
+Conda is an open-source package management and environment management system which is a part of `Anaconda <https://docs.continuum.io/anaconda/>`_ distribution. It is both cross-platform and language agnostic.
+
+Conda can be used to create a virtual environment from terminal as shown below:
+
+.. code-block:: bash
+
+ conda create -n pyspark_env
+
+After the virtual environment is created, it should be visible under the list of conda environments which can be seen using the following command:
+
+.. code-block:: bash
+
+ conda env list
+
+The newly created environment can be accessed using the following command:
+
+.. code-block:: bash
+
+ conda activate pyspark_env
+
+In lower Conda version, the following command might be used:
+
+.. code-block:: bash
+
+ source activate pyspark_env
+
+PySpark installation using ``pip`` under Conda environment is official.
Review comment:
What does this mean?
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
+Alternatively, you can also install it via pip from PyPI. PyPI installation is usually to use
+standalone locally or as a client to connect to a cluster instead of setting a cluster up.
+
+This page includes the instructions for installing PySpark by using pip, Conda, downloading manually, and building it from the source.
+
+Python Version Supported
+------------------------
+
+Python 3.6 and above.
+
+Using PyPI
+----------
+
+PySpark installation using `PyPI <https://pypi.org/project/pyspark/>`_
+
+.. code-block:: bash
+
+ pip install pyspark
+
+Using Conda
+-----------
+
+Conda is an open-source package management and environment management system which is a part of `Anaconda <https://docs.continuum.io/anaconda/>`_ distribution. It is both cross-platform and language agnostic.
+
+Conda can be used to create a virtual environment from terminal as shown below:
+
+.. code-block:: bash
+
+ conda create -n pyspark_env
+
+After the virtual environment is created, it should be visible under the list of conda environments which can be seen using the following command:
+
+.. code-block:: bash
+
+ conda env list
+
+The newly created environment can be accessed using the following command:
+
+.. code-block:: bash
+
+ conda activate pyspark_env
+
+In lower Conda version, the following command might be used:
+
+.. code-block:: bash
+
+ source activate pyspark_env
+
+PySpark installation using ``pip`` under Conda environment is official.
+
+PySpark can be installed in this newly created environment using PyPI as shown before:
+
+.. code-block:: bash
+
+ pip install pyspark
+
+`PySpark at Conda <https://anaconda.org/conda-forge/pyspark>`_ is not the official release.
+
+Official Release Channel
+------------------------
+
+Different flavor of PySpark is available in `the official release channel <https://spark.apache.org/downloads.html>`_.
Review comment:
flavor -> flavors
What do flavors mean here?
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
+Alternatively, you can also install it via pip from PyPI. PyPI installation is usually to use
+standalone locally or as a client to connect to a cluster instead of setting a cluster up.
+
+This page includes the instructions for installing PySpark by using pip, Conda, downloading manually, and building it from the source.
+
+Python Version Supported
+------------------------
+
+Python 3.6 and above.
+
+Using PyPI
+----------
+
+PySpark installation using `PyPI <https://pypi.org/project/pyspark/>`_
+
+.. code-block:: bash
+
+ pip install pyspark
+
+Using Conda
+-----------
+
+Conda is an open-source package management and environment management system which is a part of `Anaconda <https://docs.continuum.io/anaconda/>`_ distribution. It is both cross-platform and language agnostic.
+
+Conda can be used to create a virtual environment from terminal as shown below:
+
+.. code-block:: bash
+
+ conda create -n pyspark_env
+
+After the virtual environment is created, it should be visible under the list of conda environments which can be seen using the following command:
+
+.. code-block:: bash
+
+ conda env list
+
+The newly created environment can be accessed using the following command:
+
+.. code-block:: bash
+
+ conda activate pyspark_env
+
+In lower Conda version, the following command might be used:
+
+.. code-block:: bash
+
+ source activate pyspark_env
+
+PySpark installation using ``pip`` under Conda environment is official.
+
+PySpark can be installed in this newly created environment using PyPI as shown before:
+
+.. code-block:: bash
+
+ pip install pyspark
+
+`PySpark at Conda <https://anaconda.org/conda-forge/pyspark>`_ is not the official release.
+
+Official Release Channel
+------------------------
+
+Different flavor of PySpark is available in `the official release channel <https://spark.apache.org/downloads.html>`_.
+Any suitable version can be downloaded and extracted as below:
+
+.. code-block:: bash
+
+ tar xzvf spark-3.0.0-bin-hadoop2.7.tgz
+
+An important step is to ensure ``SPARK_HOME`` environment variable points to the directory where the code has been extracted.
+The next step is to properly define ``PYTHONPATH`` such that it can find the PySpark and
Review comment:
Just: Define `PYTHON_PATH` such that ...
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
+Alternatively, you can also install it via pip from PyPI. PyPI installation is usually to use
+standalone locally or as a client to connect to a cluster instead of setting a cluster up.
+
+This page includes the instructions for installing PySpark by using pip, Conda, downloading manually, and building it from the source.
+
+Python Version Supported
+------------------------
+
+Python 3.6 and above.
+
+Using PyPI
+----------
+
+PySpark installation using `PyPI <https://pypi.org/project/pyspark/>`_
+
+.. code-block:: bash
+
+ pip install pyspark
+
+Using Conda
+-----------
+
+Conda is an open-source package management and environment management system which is a part of `Anaconda <https://docs.continuum.io/anaconda/>`_ distribution. It is both cross-platform and language agnostic.
+
+Conda can be used to create a virtual environment from terminal as shown below:
+
+.. code-block:: bash
+
+ conda create -n pyspark_env
+
+After the virtual environment is created, it should be visible under the list of conda environments which can be seen using the following command:
+
+.. code-block:: bash
+
+ conda env list
+
+The newly created environment can be accessed using the following command:
+
+.. code-block:: bash
+
+ conda activate pyspark_env
+
+In lower Conda version, the following command might be used:
+
+.. code-block:: bash
+
+ source activate pyspark_env
+
+PySpark installation using ``pip`` under Conda environment is official.
+
+PySpark can be installed in this newly created environment using PyPI as shown before:
+
+.. code-block:: bash
+
+ pip install pyspark
+
+`PySpark at Conda <https://anaconda.org/conda-forge/pyspark>`_ is not the official release.
+
+Official Release Channel
+------------------------
+
+Different flavor of PySpark is available in `the official release channel <https://spark.apache.org/downloads.html>`_.
+Any suitable version can be downloaded and extracted as below:
+
+.. code-block:: bash
+
+ tar xzvf spark-3.0.0-bin-hadoop2.7.tgz
+
+An important step is to ensure ``SPARK_HOME`` environment variable points to the directory where the code has been extracted.
+The next step is to properly define ``PYTHONPATH`` such that it can find the PySpark and
+Py4J under ``$SPARK_HOME/python/lib``, one example of doing this is shown below:
+
+.. code-block:: bash
+
+ cd spark-3.0.0-bin-hadoop2.7
+ export SPARK_HOME=`pwd`
+ export PYTHONPATH=$(ZIPS=("$SPARK_HOME"/python/lib/*.zip); IFS=:; echo "${ZIPS[*]}"):$PYTHONPATH
+
+Installing from Source
+----------------------
+
+To install PySpark from source, refer `Building Spark <https://spark.apache.org/docs/latest/building-spark.html>`_.
+
+Steps for defining ``PYTHONPATH`` is same as described in `Official Release Channel <#official-release-channel>`_.
+
+Dependencies
+------------
+============= ========================= ====================
+Package Minimum supported version Note
+============= ========================= ====================
+`pandas` 0.23.2 Optional
+`NumPy` 1.7 Optional
+`pyarrow` 0.15.1 Optional
+`Py4J` 0.10.9 Required
+============= ========================= ====================
+
+**Note**: A prerequisite for PySpark installation is the availability of ``JAVA 8 or 11`` and ``JAVA_HOME`` properly set.
Review comment:
Just say Java 8 or later
##########
File path: python/docs/source/getting_started/installation.rst
##########
@@ -0,0 +1,119 @@
+.. 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.
+
+============
+Installation
+============
+
+The official release channel is to download it from `the Apache Spark website <https://spark.apache.org/downloads.html>`_.
+Alternatively, you can also install it via pip from PyPI. PyPI installation is usually to use
+standalone locally or as a client to connect to a cluster instead of setting a cluster up.
+
+This page includes the instructions for installing PySpark by using pip, Conda, downloading manually, and building it from the source.
+
+Python Version Supported
+------------------------
+
+Python 3.6 and above.
+
+Using PyPI
+----------
+
+PySpark installation using `PyPI <https://pypi.org/project/pyspark/>`_
+
+.. code-block:: bash
+
+ pip install pyspark
+
+Using Conda
+-----------
+
+Conda is an open-source package management and environment management system which is a part of `Anaconda <https://docs.continuum.io/anaconda/>`_ distribution. It is both cross-platform and language agnostic.
+
+Conda can be used to create a virtual environment from terminal as shown below:
+
+.. code-block:: bash
+
+ conda create -n pyspark_env
+
+After the virtual environment is created, it should be visible under the list of conda environments which can be seen using the following command:
+
+.. code-block:: bash
+
+ conda env list
+
+The newly created environment can be accessed using the following command:
+
+.. code-block:: bash
+
+ conda activate pyspark_env
+
+In lower Conda version, the following command might be used:
+
+.. code-block:: bash
+
+ source activate pyspark_env
+
+PySpark installation using ``pip`` under Conda environment is official.
+
+PySpark can be installed in this newly created environment using PyPI as shown before:
+
+.. code-block:: bash
+
+ pip install pyspark
+
+`PySpark at Conda <https://anaconda.org/conda-forge/pyspark>`_ is not the official release.
+
+Official Release Channel
+------------------------
+
+Different flavor of PySpark is available in `the official release channel <https://spark.apache.org/downloads.html>`_.
+Any suitable version can be downloaded and extracted as below:
+
+.. code-block:: bash
+
+ tar xzvf spark-3.0.0-bin-hadoop2.7.tgz
+
+An important step is to ensure ``SPARK_HOME`` environment variable points to the directory where the code has been extracted.
+The next step is to properly define ``PYTHONPATH`` such that it can find the PySpark and
+Py4J under ``$SPARK_HOME/python/lib``, one example of doing this is shown below:
+
+.. code-block:: bash
+
+ cd spark-3.0.0-bin-hadoop2.7
+ export SPARK_HOME=`pwd`
+ export PYTHONPATH=$(ZIPS=("$SPARK_HOME"/python/lib/*.zip); IFS=:; echo "${ZIPS[*]}"):$PYTHONPATH
+
+Installing from Source
+----------------------
+
+To install PySpark from source, refer `Building Spark <https://spark.apache.org/docs/latest/building-spark.html>`_.
Review comment:
refer to ...
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