Provider for Apache Airflow. Implements apache-airflow-providers-apache-spark package
Project description
Package apache-airflow-providers-apache-spark
Release: 2.1.3rc1
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 2.1+ installation via pip install apache-airflow-providers-apache-spark
The package supports the following python versions: 3.7,3.8,3.9,3.10
PIP requirements
PIP package |
Version required |
|---|---|
apache-airflow |
>=2.1.0 |
pyspark |
Changelog
2.1.3
Bug Fixes
Fix mistakenly added install_requires for all providers (#22382)
2.1.2
Misc
Add Trove classifiers in PyPI (Framework :: Apache Airflow :: Provider)
2.1.1
Bug Fixes
fix param rendering in docs of SparkSubmitHook (#21788)
Misc
Support for Python 3.10
2.1.0
Features
Add more SQL template fields renderers (#21237)
Add optional features in providers. (#21074)
2.0.3
Bug Fixes
Ensure Spark driver response is valid before setting UNKNOWN status (#19978)
2.0.2
Bug Fixes
fix bug of SparkSql Operator log going to infinite loop. (#19449)
2.0.1
Misc
Optimise connection importing for Airflow 2.2.0
2.0.0
Breaking changes
Auto-apply apply_default decorator (#15667)
Bug fixes
Make SparkSqlHook use Connection (#15794)
1.0.3
Bug fixes
Fix 'logging.exception' redundancy (#14823)
1.0.2
Bug fixes
Use apache.spark provider without kubernetes (#14187)
1.0.1
Updated documentation and readme files.
1.0.0
Initial version of the provider.
Project details
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