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Managed Service for Apache Airflow (formerly Cloud Composer) Operators

Managed Service for Apache Airflow (formerly Cloud Composer) is a fully managed workflow orchestration service, enabling you to create, schedule, monitor, and manage workflows that span across clouds and on-premises data centers.

Managed Service for Apache Airflow (formerly Cloud Composer) is built on the popular Apache Airflow open source project and operates using the Python programming language.

By using Managed Service for Apache Airflow (formerly Cloud Composer) instead of a local instance of Apache Airflow, you can benefit from the best of Airflow with no installation or management overhead. Managed Service for Apache Airflow (formerly Cloud Composer) helps you create Airflow environments quickly and use Airflow-native tools, such as the powerful Airflow web interface and command-line tools, so you can focus on your workflows and not your infrastructure.

For more information about the service visit the product documentation <https://cloud.google.com/composer/docs/concepts/overview>__.

Create an environment

Before you create a Managed Service for Apache Airflow environment you need to define it. For more information about the available fields to pass when creating an environment, visit the Managed Service for Apache Airflow create environment API <https://cloud.google.com/composer/docs/reference/rest/v1/projects.locations.environments#Environment>__.

A simple environment configuration can look as followed:

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 0 :start-after: [START howto_operator_managed_airflow_simple_environment] :end-before: [END howto_operator_managed_airflow_simple_environment]

With this configuration we can create the environment: :class:~airflow.providers.google.cloud.operators.managed_airflow.ManagedAirflowCreateEnvironmentOperator

The executable example below still imports the compatibility name CloudComposerCreateEnvironmentOperator. The preferred alias for new code is ManagedAirflowCreateEnvironmentOperator.

The create operator only succeeds after the Composer environment reaches the RUNNING state. If the long-running create operation finishes but the environment remains in another state such as ERROR or CREATING, the task fails so downstream tasks do not run against an unusable environment.

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_create_managed_airflow_environment] :end-before: [END howto_operator_create_managed_airflow_environment]

or you can define the same operator in the deferrable mode: :class:~airflow.providers.google.cloud.operators.managed_airflow.ManagedAirflowCreateEnvironmentOperator

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_create_managed_airflow_environment_deferrable_mode] :end-before: [END howto_operator_create_managed_airflow_environment_deferrable_mode]

For retry-heavy system tests, you can clean up a failed environment before retrying the create task. The example below only deletes environments that are already in the ERROR state and leaves other states untouched.

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 0 :start-after: [START howto_operator_composer_retry_cleanup] :end-before: [END howto_operator_composer_retry_cleanup]

Get an environment

To get an environment you can use:

:class:~airflow.providers.google.cloud.operators.managed_airflow.ManagedAirflowGetEnvironmentOperator

The executable example below still imports the compatibility name CloudComposerGetEnvironmentOperator. The preferred alias for new code is ManagedAirflowGetEnvironmentOperator.

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_get_managed_airflow_environment] :end-before: [END howto_operator_get_managed_airflow_environment]

List environments

To list environments you can use:

:class:~airflow.providers.google.cloud.operators.managed_airflow.ManagedAirflowListEnvironmentsOperator

The executable example below still imports the compatibility name CloudComposerListEnvironmentsOperator. The preferred alias for new code is ManagedAirflowListEnvironmentsOperator.

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_list_managed_airflow_environments] :end-before: [END howto_operator_list_managed_airflow_environments]

Update environments

You can update the environments by providing an environment config and an updateMask. In the updateMask argument you specify the path, relative to the environment, of the field to update. For more information on updateMask and other parameters take a look at the Managed Service for Apache Airflow update environment API <https://cloud.google.com/composer/docs/reference/rest/v1/projects.locations.environments/patch>__.

An example of a new service config and the updateMask:

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 0 :start-after: [START howto_operator_managed_airflow_update_environment] :end-before: [END howto_operator_managed_airflow_update_environment]

To update a service you can use: :class:~airflow.providers.google.cloud.operators.managed_airflow.ManagedAirflowUpdateEnvironmentOperator

The executable example below still imports the compatibility name CloudComposerUpdateEnvironmentOperator. The preferred alias for new code is ManagedAirflowUpdateEnvironmentOperator.

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_update_managed_airflow_environment] :end-before: [END howto_operator_update_managed_airflow_environment]

or you can define the same operator in the deferrable mode: :class:~airflow.providers.google.cloud.operators.managed_airflow.ManagedAirflowUpdateEnvironmentOperator

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_update_managed_airflow_environment_deferrable_mode] :end-before: [END howto_operator_update_managed_airflow_environment_deferrable_mode]

Delete an environment

To delete an environment you can use:

:class:~airflow.providers.google.cloud.operators.managed_airflow.ManagedAirflowDeleteEnvironmentOperator

The executable example below still imports the compatibility name CloudComposerDeleteEnvironmentOperator. The preferred alias for new code is ManagedAirflowDeleteEnvironmentOperator.

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_delete_managed_airflow_environment] :end-before: [END howto_operator_delete_managed_airflow_environment]

or you can define the same operator in the deferrable mode: :class:~airflow.providers.google.cloud.operators.managed_airflow.ManagedAirflowDeleteEnvironmentOperator

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_delete_managed_airflow_environment_deferrable_mode] :end-before: [END howto_operator_delete_managed_airflow_environment_deferrable_mode]

List of Managed Airflow Images

You can also list all supported Managed Service for Apache Airflow images:

:class:~airflow.providers.google.cloud.operators.managed_airflow.ManagedAirflowListImageVersionsOperator

The executable example below still imports the compatibility name CloudComposerListImageVersionsOperator. The preferred alias for new code is ManagedAirflowListImageVersionsOperator.

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_managed_airflow_image_list] :end-before: [END howto_operator_managed_airflow_image_list]

Run Airflow CLI commands

You can run Airflow CLI commands in your environments, use: :class:~airflow.providers.google.cloud.operators.managed_airflow.ManagedAirflowRunAirflowCLICommandOperator

The executable example below still imports the compatibility name CloudComposerRunAirflowCLICommandOperator. The preferred alias for new code is ManagedAirflowRunAirflowCLICommandOperator.

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_run_airflow_cli_command] :end-before: [END howto_operator_run_airflow_cli_command]

or you can define the same operator in the deferrable mode:

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_run_airflow_cli_command_deferrable_mode] :end-before: [END howto_operator_run_airflow_cli_command_deferrable_mode]

Check if a Dag run has completed

You can use sensor that checks if a Dag run has completed in your environments, use: :class:~airflow.providers.google.cloud.sensors.cloud_composer.CloudComposerDAGRunSensor

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_sensor_dag_run] :end-before: [END howto_sensor_dag_run]

or you can define the same sensor in the deferrable mode:

Trigger a Dag run

You can trigger a DAG in another Managed Service for Apache Airflow environment, use: :class:~airflow.providers.google.cloud.operators.managed_airflow.ManagedAirflowTriggerDAGRunOperator

The executable example below still imports the compatibility name CloudComposerTriggerDAGRunOperator. The preferred alias for new code is ManagedAirflowTriggerDAGRunOperator.

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_operator_trigger_dag_run] :end-before: [END howto_operator_trigger_dag_run]

Waits for a different Dag, task group, or task to complete

You can use sensor that waits for a different DAG, task group, or task to complete for a specific Managed Service for Apache Airflow environment, use: :class:~airflow.providers.google.cloud.sensors.cloud_composer.CloudComposerExternalTaskSensor

.. exampleinclude:: /../../google/tests/system/google/cloud/composer/example_cloud_composer.py :language: python :dedent: 4 :start-after: [START howto_sensor_external_task] :end-before: [END howto_sensor_external_task]

or you can define the same sensor in the deferrable mode: