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Provider package apache-airflow-providers-databricks for Apache Airflow

Project description

Package apache-airflow-providers-databricks

Release: 2.1.0rc3

Databricks

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: 3.6,3.7,3.8,3.9

PIP requirements

PIP package

Version required

apache-airflow

>=2.1.0

requests

>=2.26.0, <3

Changelog

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.

Project details


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