apache-airflow-backport-providers-databricks 2020.11.23

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Description:

apacheairflowbackportprovidersdatabricks 2020.11.23

Package apache-airflow-backport-providers-databricks
Release: 2020.11.23
Table of contents

Backport package
Installation
PIP requirements
Provider class summary

Operators

Moved operators


Hooks

Moved hooks




Releases

Release 2020.11.23
Release 2020.10.29
Release 2020.10.5
Release 2020.6.24



Backport package
This is a backport providers package for databricks provider. All classes for this provider package
are in airflow.providers.databricks python package.
Only Python 3.6+ is supported for this backport package.
While Airflow 1.10.* continues to support Python 2.7+ - you need to upgrade python to 3.6+ if you
want to use this backport package.
Installation
You can install this package on top of an existing airflow 1.10.* installation via
pip install apache-airflow-backport-providers-databricks
PIP requirements



PIP package
Version required




requests
>=2.20.0, <3



Provider classes summary
In Airflow 2.0, all operators, transfers, hooks, sensors, secrets for the databricks provider
are in the airflow.providers.databricks package. You can read more about the naming conventions used
in Naming conventions for provider packages
Operators
Moved operators



Airflow 2.0 operators: airflow.providers.databricks package
Airflow 1.10.* previous location (usually airflow.contrib)




operators.databricks.DatabricksRunNowOperator
contrib.operators.databricks_operator.DatabricksRunNowOperator


operators.databricks.DatabricksSubmitRunOperator
contrib.operators.databricks_operator.DatabricksSubmitRunOperator



Hooks
Moved hooks



Airflow 2.0 hooks: airflow.providers.databricks package
Airflow 1.10.* previous location (usually airflow.contrib)




hooks.databricks.DatabricksHook
contrib.hooks.databricks_hook.DatabricksHook



Releases
Release 2020.11.23



Commit
Committed
Subject




19b7e4565
2020-11-18
Enable Markdownlint rule MD003/heading-style/header-style (#12427)


ae7cb4a1e
2020-11-17
Update wrong commit hash in backport provider changes (#12390)


6889a333c
2020-11-15
Improvements for operators and hooks ref docs (#12366)


7825e8f59
2020-11-13
Docs installation improvements (#12304)


b02722313
2020-11-13
Add install/uninstall api to databricks hook (#12316)


85a18e13d
2020-11-09
Point at pypi project pages for cross-dependency of provider packages (#12212)


59eb5de78
2020-11-09
Update provider READMEs for up-coming 1.0.0beta1 releases (#12206)


b2a28d159
2020-11-09
Moves provider packages scripts to dev (#12082)


7e0d08e1f
2020-11-09
Add how-to Guide for Databricks operators (#12175)


4e8f9cc8d
2020-11-03
Enable Black - Python Auto Formmatter (#9550)


8c42cf1b0
2020-11-03
Use PyUpgrade to use Python 3.6 features (#11447)


5a439e84e
2020-10-26
Prepare providers release 0.0.2a1 (#11855)



Release 2020.10.29



Commit
Committed
Subject




b680bbc0b
2020-10-24
Generated backport providers readmes/setup for 2020.10.29


349b0811c
2020-10-20
Add D200 pydocstyle check (#11688)


16e712971
2020-10-13
Added support for provider packages for Airflow 2.0 (#11487)


0a0e1af80
2020-10-03
Fix Broken Markdown links in Providers README TOC (#11249)



Release 2020.10.5



Commit
Committed
Subject




ca4238eb4
2020-10-02
Fixed month in backport packages to October (#11242)


5220e4c38
2020-10-02
Prepare Backport release 2020.09.07 (#11238)


54353f874
2020-09-27
Increase type coverage for five different providers (#11170)


966a06d96
2020-09-18
Fetching databricks host from connection if not supplied in extras. (#10762)


9549274d1
2020-09-09
Upgrade black to 20.8b1 (#10818)


fdd9b6f65
2020-08-25
Enable Black on Providers Packages (#10543)


bfefcce0c
2020-08-25
Updated REST API call so GET requests pass payload in query string instead of request body (#10462)


3696c34c2
2020-08-24
Fix typo in the word "release" (#10528)


2f2d8dbfa
2020-08-25
Remove all "noinspection" comments native to IntelliJ (#10525)


ee7ca128a
2020-08-22
Fix broken Markdown refernces in Providers README (#10483)


cdec30125
2020-08-07
Add correct signature to all operators and sensors (#10205)


7d24b088c
2020-07-25
Stop using start_date in default_args in example_dags (2) (#9985)


e13a14c87
2020-06-21
Enable & Fix Whitespace related PyDocStyle Checks (#9458)


d0e7db402
2020-06-19
Fixed release number for fresh release (#9408)



Release 2020.6.24



Commit
Committed
Subject




12af6a080
2020-06-19
Final cleanup for 2020.6.23rc1 release preparation (#9404)


c7e5bce57
2020-06-19
Prepare backport release candidate for 2020.6.23rc1 (#9370)


f6bd817a3
2020-06-16
Introduce 'transfers' packages (#9320)


0b0e4f7a4
2020-05-26
Preparing for RC3 release of backports (#9026)


00642a46d
2020-05-26
Fixed name of 20 remaining wrongly named operators. (#8994)


f1073381e
2020-05-22
Add support for spark python and submit tasks in Databricks operator(#8846)


375d1ca22
2020-05-19
Release candidate 2 for backport packages 2020.05.20 (#8898)


12c5e5d8a
2020-05-17
Prepare release candidate for backport packages (#8891)


f3521fb0e
2020-05-16
Regenerate readme files for backport package release (#8886)


92585ca4c
2020-05-15
Added automated release notes generation for backport operators (#8807)


649935e8c
2020-04-27
[AIRFLOW-8472]: PATCH for Databricks hook _do_api_call (#8473)


16903ba3a
2020-04-24
[AIRFLOW-8474]: Adding possibility to get job_id from Databricks run (#8475)


5648dfbc3
2020-03-23
Add missing call to Super class in 'amazon', 'cloudant & 'databricks' providers (#7827)


3320e432a
2020-02-24
[AIRFLOW-6817] Lazy-load airflow.DAG to keep user-facing API untouched (#7517)


4d03e33c1
2020-02-22
[AIRFLOW-6817] remove imports from airflow/__init__.py, replaced implicit imports with explicit imports, added entry to UPDATING.MD - squashed/rebased (#7456)


97a429f9d
2020-02-02
[AIRFLOW-6714] Remove magic comments about UTF-8 (#7338)


83c037873
2020-01-30
[AIRFLOW-6674] Move example_dags in accordance with AIP-21 (#7287)


c42a375e7
2020-01-27
[AIRFLOW-6644][AIP-21] Move service classes to providers package (#7265)

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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