rohitmishr1484 commented on a change in pull request #29640: URL: https://github.com/apache/spark/pull/29640#discussion_r483936646
########## 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:  In the above image Step 1 & 2 allows us to choose different combinations and the file to be downloaded in Step 3 changes accordingly. Depending on the user's requirement any combination can be selected and thus by "flavor" I mean to denote this. Would you suggest something else or based on the above explanation, "flavor" word can be used and it doesn't mislead the reader? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
