Package apache-airflow-providers-apache-spark

Release: 6.3.2

Apache Spark

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.

Installation

You can install this package on top of an existing Airflow 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: 3.10,3.11,3.12,3.13,3.14

Requirements

PIP package

Version required

apache-airflow

>=2.11.0

apache-airflow-providers-common-compat

>=1.12.0

pyspark-client

>=4.0.0

grpcio-status

>=1.67.0

requests

>=2.32.0

tenacity

>=8.3.0

Optional 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 providers in order to use them.

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

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

Dependent package

Extra

apache-airflow-providers-cncf-kubernetes

cncf.kubernetes

Optional dependencies

Extra

Dependencies

cncf.kubernetes

apache-airflow-providers-cncf-kubernetes>=7.4.0

openlineage

apache-airflow-providers-openlineage

pyspark

pyspark>=4.0.0

The changelog for the provider package can be found in the changelog.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

Owner

PyPI data
Data sourced directly from PyPI's database.

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
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Credits

Author/Maintainer: Apache Software Foundation

License expression

Apache-2.0
View SPDX License List

Requires

Python >=3.10

Provides Extra

cncf-kubernetes openlineage pyspark

Tags

airflow-provider apache.spark airflow integration

Classifiers

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