apache-airflow-providers-apache-spark

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.. 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.

.. NOTE! THIS FILE IS AUTOMATICALLY GENERATED AND WILL BE OVERWRITTEN WHEN PREPARING PACKAGES.

.. IF YOU WANT TO MODIFY TEMPLATE FOR THIS FILE, YOU SHOULD MODIFY THE TEMPLATE PROVIDER_README_TEMPLATE.rst.jinja2 IN the dev/breeze/src/airflow_breeze/templates DIRECTORY

Package apache-airflow-providers-apache-spark

Release: 5.0.0

Apache Spark <https://spark.apache.org/>__

Provider package

This is a provider package for apache.spark provider. All classes for this provider package are in airflow.providers.apache.spark python package.

You can find package information and changelog for the provider in the documentation <https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/5.0.0/>_.

Installation

You can install this package on top of an existing Airflow 2 installation (see Requirements below for the minimum Airflow version supported) via pip install apache-airflow-providers-apache-spark

The package supports the following python versions: 3.9,3.10,3.11,3.12

Requirements

================== ================== PIP package Version required ================== ================== apache-airflow >=2.9.0 pyspark >=3.1.3 grpcio-status >=1.59.0 ================== ==================

Cross provider package dependencies

Those are dependencies that might be needed in order to use all the features of the package. You need to install the specified provider packages in order to use them.

You can install such cross-provider dependencies when installing from PyPI. For example:

.. code-block:: bash

pip install apache-airflow-providers-apache-spark[cncf.kubernetes]

====================================================================================================================== =================== Dependent package Extra ====================================================================================================================== =================== apache-airflow-providers-cncf-kubernetes <https://airflow.apache.org/docs/apache-airflow-providers-cncf-kubernetes>_ cncf.kubernetes apache-airflow-providers-common-compat <https://airflow.apache.org/docs/apache-airflow-providers-common-compat>_ common.compat ====================================================================================================================== ===================

The changelog for the provider package can be found in the changelog <https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/5.0.0/changelog.html>_.