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https://github.com/astronomer/astronomer-providers

Airflow Providers containing Deferrable Operators & Sensors from Astronomer
https://github.com/astronomer/astronomer-providers

airflow airflow-operators airflow-providers apache-airflow python workflow

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Airflow Providers containing Deferrable Operators & Sensors from Astronomer

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README 

        
Astronomer Providers

====================



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.. warning::

    The majority of operators and sensors within this repository have been deprecated and will not receive further updates.

    Read more about the deprecation in the `Deprecation Notice` section below.



Deprecation Notice

------------------



With the release ``1.19.0`` of the astronomer-providers package, most of the operators and sensors are deprecated and will

no longer receive updates. We recommend migrating to the official Apache Airflow Providers for the latest features and support.

For the operators and sensors that are deprecated in this repository, migrating to the official Apache Airflow Providers

is as simple as changing the import path from



.. code-block::



    from astronomer.providers.*.*.operator_module import SomeOperatorAsync



to



.. code-block::



    from airflow.providers.*.*.operator_module import SomeOperator



and setting the ``deferrable`` argument to ``True`` while using the operator or sensor in your DAG.

Setting the ``deferrable`` argument to ``True`` will ensure that the operator or sensor is using the async version

of the operator or sensor from the official Apache Airflow Providers.



For example, to migrate from

``astronomer.providers.amazon.aws.operators.batch.BatchOperatorAsync`` to

``airflow.providers.amazon.aws.operators.s3.BatchOperator``, simply change the import path and pass

the deferrable argument:



.. code-block:: python



    BatchOperator(

        task_id="copy_object",

        your_arguments,

        your_keyword_arguments,

        deferrable=True,

    )



For more information on using the deferrable operators and sensors from the official Apache Airflow Providers, visit the following links:



- https://airflow.apache.org/docs/apache-airflow-providers/index.html

- https://airflow.apache.org/docs/#providers-packages-docs-apache-airflow-providers-index-html

- https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/deferring.html



.. note::

    Although the default value for the `deferrable` argument is `False`, it's possible to configure the default value for the `deferrable` argument across

    your deployment by setting the `default_deferrable` flag in the `operators` sections of your Airflow configuration. Once you set the `default_deferrable` flag to `True`,

    you can remove the `deferrable` argument from your operators and sensors and they will use the async version of the operator or sensor from the official Apache Airflow Providers

    if it exists.



    See more at: https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#default-deferrable



For troubleshooting of issues with migrations, you are suggested to open up a `GitHub discussion `_



Installation

------------



Install and update using `pip `_:



.. code-block:: bash



    pip install astronomer-providers



This only installs dependencies for core provider. To install all dependencies, run:



.. code-block:: bash



    pip install 'astronomer-providers[all]'



To only install the dependencies for a specific provider, specify the integration name as extra argument, example

to install Kubernetes provider dependencies, run:



.. code-block:: bash



    pip install 'astronomer-providers[cncf.kubernetes]'



Extras

^^^^^^



.. EXTRA_DOC_START



.. list-table::

   :header-rows: 1



   * - Extra Name

     - Installation Command

     - Dependencies



   * - ``all``

     - ``pip install 'astronomer-providers[all]'``

     - All



   * - ``amazon``

     - ``pip install 'astronomer-providers[amazon]'``

     - Amazon



   * - ``apache.hive``

     - ``pip install 'astronomer-providers[apache.hive]'``

     - Apache Hive



   * - ``apache.livy``

     - ``pip install 'astronomer-providers[apache.livy]'``

     - Apache Livy



   * - ``cncf.kubernetes``

     - ``pip install 'astronomer-providers[cncf.kubernetes]'``

     - Cncf Kubernetes



   * - ``databricks``

     - ``pip install 'astronomer-providers[databricks]'``

     - Databricks



   * - ``dbt.cloud``

     - ``pip install 'astronomer-providers[dbt.cloud]'``

     - Dbt Cloud



   * - ``google``

     - ``pip install 'astronomer-providers[google]'``

     - Google



   * - ``http``

     - ``pip install 'astronomer-providers[http]'``

     - Http



   * - ``microsoft.azure``

     - ``pip install 'astronomer-providers[microsoft.azure]'``

     - Microsoft Azure



   * - ``openlineage``

     - ``pip install 'astronomer-providers[openlineage]'``

     - Openlineage



   * - ``sftp``

     - ``pip install 'astronomer-providers[sftp]'``

     - Sftp



   * - ``snowflake``

     - ``pip install 'astronomer-providers[snowflake]'``

     - Snowflake



.. EXTRA_DOC_END



Example Usage

-------------



This repo is structured same as the Apache Airflow's source code, so for example

if you want to import Async operators, you can import it as follows:



.. code-block:: python



    from astronomer.providers.amazon.aws.sensors.s3 import S3KeySensorAsync as S3KeySensor



    waiting_for_s3_key = S3KeySensor(

        task_id="waiting_for_s3_key",

        bucket_key="sample_key.txt",

        wildcard_match=False,

        bucket_name="sample-bucket",

    )



**Example DAGs** for each provider is within the respective provider's folder. For example,

the Kubernetes provider's DAGs are within the

`astronomer/providers/cncf/kubernetes/example_dags `_

folder.



Principle

---------



We will only create Async operators for the "sync-version" of operators that do some level of polling

(take more than a few seconds to complete).



For example, we won’t create an async Operator for a ``BigQueryCreateEmptyTableOperator`` but will create one

for ``BigQueryInsertJobOperator`` that actually runs queries and can take hours in the worst case for task completion.



To create async operators, we need to inherit from the corresponding airflow sync operators.

If sync version isn't available, then inherit from airflow ``BaseOperator``.



To create async sensors, we need to inherit from the corresponding sync sensors.

If sync version isn't available, then inherit from airflow ``BaseSensorOperator``.



Changelog

---------



We follow `Semantic Versioning `_ for releases.

Check `CHANGELOG.rst `_

for the latest changes.



Contributing Guide

------------------



All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.



A detailed overview on how to contribute can be found in the

`Contributing Guide `_.



As contributors and maintainers to this project, you are expected to abide by the

`Contributor Code of Conduct `_.



Goals for the project

---------------------



- Our focus is on the speed of iteration and development in this stage of the project and so we want to be able to

  quickly iterate with our community members and customers and cut releases as necessary

- Airflow Providers are separate packages from the core ``apache-airflow`` package and we would like to avoid

  further bloating the Airflow repo

- We want users and the community to be able to easily track features and the roadmap for individual providers

  that we develop

- We would love to see the Airflow community members create, maintain and share their providers to build an Ecosystem

  of Providers.



Limitations

-----------



- In Airflow sensors have a param ``mode`` which can be ``poke`` and ``reschedule``.

  In async sensors, this param has no usage since tasks gets deferred to Triggerer.



License

-------



`Apache License 2.0 `_