apache-airflow-providers-databricks 3.0.0rc1

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

Package apache-airflow-providers-databricks

Release: 3.0.0rc1

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: 3.7,3.8,3.9,3.10

PIP requirements

PIP package	Version required
apache-airflow	>=2.2.0
aiohttp	>=3.6.3, <4
databricks-sql-connector	>=2.0.0, <3.0.0
requests	>=2.27,<3

Changelog

3.0.0

Breaking changes

• This release of provider is only available for Airflow 2.2+ as explained in the Apache Airflow providers support policy https://github.com/apache/airflow/blob/main/README.md#support-for-providers

Features

• Add Deferrable Databricks operators (#19736)

• Add git_source to DatabricksSubmitRunOperator (#23620)

Bug Fixes

• fix: DatabricksSubmitRunOperator and DatabricksRunNowOperator cannot define .json as template_ext (#23622) (#23641)

• Fix UnboundLocalError when sql is empty list in DatabricksSqlHook (#23815)

2.7.0

Features

• Update to the released version of DBSQL connector

• DatabricksSqlOperator - switch to databricks-sql-connector 2.x

• Further improvement of Databricks Jobs operators (#23199)

2.6.0

Features

• More operators for Databricks Repos (#22422)

• Add a link to Databricks Job Run (#22541)

• Databricks SQL operators are now Python 3.10 compatible (#22886)

Bug Fixes

• Databricks: Correctly handle HTTP exception (#22885)

Misc

• Refactor 'DatabricksJobRunLink' to not create ad hoc TaskInstances (#22571)

2.5.0

Features

• Operator for updating Databricks Repos (#22278)

Bug Fixes

• Fix mistakenly added install_requires for all providers (#22382)

2.4.0

Features

• Add new options to DatabricksCopyIntoOperator (#22076)

• Databricks hook - retry on HTTP Status 429 as well (#21852)

Misc

• Skip some tests for Databricks from running on Python 3.10 (#22221)

2.3.0

Features

• Add-showing-runtime-error-feature-to-DatabricksSubmitRunOperator (#21709)

• Databricks: add support for triggering jobs by name (#21663)

• Added template_ext = ('.json') to databricks operators #18925 (#21530)

• Databricks SQL operators (#21363)

Bug Fixes

• Fixed changelog for January 2022 (delayed) provider's release (#21439)

Misc

• Support for Python 3.10

• Updated Databricks docs for correct jobs 2.1 API and links (#21494)

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)

Warning

Due to apply_default decorator removal, this version of the provider requires Airflow 2.1.0+. If your Airflow version is < 2.1.0, and you want to install this provider version, first upgrade Airflow to at least version 2.1.0. Otherwise your Airflow package version will be upgraded automatically and you will have to manually run airflow upgrade db to complete the migration.

1.0.1

Updated documentation and readme files.

1.0.0

Initial version of the provider.