Provider package apache-airflow-providers-databricks for Apache Airflow
Project description
Package apache-airflow-providers-databricks
Release: 2.2.0rc1
Provider package
This is a provider package for databricks provider. All classes for this provider package are in airflow.providers.databricks 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-databricks
The package supports the following python versions: 3.7,3.8,3.9
PIP requirements
PIP package |
Version required |
|---|---|
apache-airflow |
>=2.1.0 |
requests |
>=2.26.0, <3 |
Changelog
2.2.0
Features
Add 'wait_for_termination' argument for Databricks Operators (#20536)
Update connection object to ''cached_property'' in ''DatabricksHook'' (#20526)
Remove 'host' as an instance attr in 'DatabricksHook' (#20540)
Databricks: fix verification of Managed Identity (#20550)
2.1.0
Features
Databricks: add more methods to represent run state information (#19723)
Databricks - allow Azure SP authentication on other Azure clouds (#19722)
Databricks: allow to specify PAT in Password field (#19585)
Databricks jobs 2.1 (#19544)
Update Databricks API from 2.0 to 2.1 (#19412)
Authentication with AAD tokens in Databricks provider (#19335)
Update Databricks operators to match latest version of API 2.0 (#19443)
Remove db call from DatabricksHook.__init__() (#20180)
Bug Fixes
Fixup string concatenations (#19099)
Databricks hook: fix expiration time check (#20036)
2.0.2
Bug Fixes
Move DB call out of DatabricksHook.__init__ (#18339)
2.0.1
Misc
Optimise connection importing for Airflow 2.2.0
2.0.0
Breaking changes
Auto-apply apply_default decorator (#15667)
1.0.1
Updated documentation and readme files.
1.0.0
Initial version of the provider.
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