apache-airflow-providers-datadog

Changelog

3.5.0

Note

This release of provider is only available for Airflow 2.6+ as explained in the Apache Airflow providers support policy.

Misc

  • Bump minimum Airflow version in providers to Airflow 2.6.0 (#36017)

3.4.0

Note

This release of provider is only available for Airflow 2.5+ as explained in the Apache Airflow providers support policy.

Bug Fixes

  • fix(providers/datadog): respect soft_fail argument when exception is raised (#34472)

Misc

  • Bump min airflow version of providers (#34728)

3.3.2

Misc

  • Simplify conditions on len() in other providers (#33569)

3.3.1

Note

This release dropped support for Python 3.7

Misc

  • Add note about dropping Python 3.7 for providers (#32015)

3.3.0

Note

This release of provider is only available for Airflow 2.4+ as explained in the Apache Airflow providers support policy.

Misc

  • Bump minimum Airflow version in providers (#30917)

3.2.0

Features

  • Support creating Datadog connection from the UI and add documentation for this conn (#30059)

3.1.0

Note

This release of provider is only available for Airflow 2.3+ as explained in the Apache Airflow providers support policy.

Misc

  • Move min airflow version to 2.3.0 for all providers (#27196)

3.0.0

Breaking changes

Note

This release of provider is only available for Airflow 2.2+ as explained in the Apache Airflow providers support policy.

2.0.4

Bug Fixes

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

2.0.3

Misc

  • Add Trove classifiers in PyPI (Framework :: Apache Airflow :: Provider)

2.0.2

Misc

  • Support for Python 3.10

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.

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