Apache Airflow Providers containing Deferrable Operators & Sensors from Astronomer
Project description
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
from astronomer.providers.*.*.operator_module import SomeOperatorAsyncto
from airflow.providers.*.*.operator_module import SomeOperatorand 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:
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
For troubleshooting of issues with migrations, you are suggested to open up a GitHub discussion
Installation
Install and update using pip:
pip install astronomer-providersThis only installs dependencies for core provider. To install all dependencies, run:
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:
pip install 'astronomer-providers[cncf.kubernetes]'Extras
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 |
pip install 'astronomer-providers[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 |
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:
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
Release history Release notifications | RSS feed
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