Cloud Storage allows world-wide storage and retrieval of any amount of data at any time. You can use Cloud Storage for a range of scenarios including serving website content, storing data for archival and disaster recovery, or distributing large data objects to users via direct download.
See :doc:`/operators/transfer/index` for a list of specialized transfer operators to and from Google Cloud Storage.
Use the
:class:`~airflow.providers.google.cloud.operators.gcs.GCSTimeSpanFileTransformOperator`
to transform files that were modified in a specific time span (the data interval).
The time span is defined by the time span's start and end timestamps. If a DAG
does not have a next DAG instance scheduled, the time span end infinite, meaning the operator
processes all files older than data_interval_start
.
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_transform_timespan.py :language: python :dedent: 4 :start-after: [START howto_operator_gcs_timespan_file_transform_operator_Task] :end-before: [END howto_operator_gcs_timespan_file_transform_operator_Task]
Creates a new ACL entry on the specified bucket.
For parameter definition, take a look at :class:`~airflow.providers.google.cloud.operators.gcs.GCSBucketCreateAclEntryOperator`
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_acl.py :language: python :dedent: 4 :start-after: [START howto_operator_gcs_bucket_create_acl_entry_task] :end-before: [END howto_operator_gcs_bucket_create_acl_entry_task]
.. literalinclude:: /../../providers/src/airflow/providers/google/cloud/operators/gcs.py :language: python :dedent: 4 :start-after: [START gcs_bucket_create_acl_template_fields] :end-before: [END gcs_bucket_create_acl_template_fields]
See Google Cloud Storage Documentation to create a new ACL entry for a bucket.
Creates a new ACL entry on the specified object.
For parameter definition, take a look at :class:`~airflow.providers.google.cloud.operators.gcs.GCSObjectCreateAclEntryOperator`
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_acl.py :language: python :dedent: 4 :start-after: [START howto_operator_gcs_object_create_acl_entry_task] :end-before: [END howto_operator_gcs_object_create_acl_entry_task]
.. literalinclude:: /../../providers/src/airflow/providers/google/cloud/operators/gcs.py :language: python :dedent: 4 :start-after: [START gcs_object_create_acl_template_fields] :end-before: [END gcs_object_create_acl_template_fields]
See Google Cloud Storage insert documentation to create a ACL entry for ObjectAccess.
Deleting Bucket allows you to remove bucket object from the Google Cloud Storage. It is performed through the :class:`~airflow.providers.google.cloud.operators.gcs.GCSDeleteBucketOperator` operator.
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_upload_download.py :language: python :dedent: 4 :start-after: [START howto_operator_gcs_delete_bucket] :end-before: [END howto_operator_gcs_delete_bucket]
You can use :ref:`Jinja templating <concepts:jinja-templating>` with :template-fields:`airflow.providers.google.cloud.operators.gcs.GCSDeleteBucketOperator` parameters which allows you to dynamically determine values.
For further information, look at:
Use the :class:`~airflow.providers.google.cloud.sensors.gcs.GCSObjectExistenceSensor` to wait (poll) for the existence of a file in Google Cloud Storage.
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_sensor.py :language: python :dedent: 4 :start-after: [START howto_sensor_object_exists_task] :end-before: [END howto_sensor_object_exists_task]
Also you can use deferrable mode in this operator if you would like to free up the worker slots while the sensor is running.
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_sensor.py :language: python :dedent: 4 :start-after: [START howto_sensor_object_exists_task_defered] :end-before: [END howto_sensor_object_exists_task_defered]
Use the :class:`~airflow.providers.google.cloud.sensors.gcs.GCSObjectsWithPrefixExistenceSensor` to wait (poll) for the existence of a file with a specified prefix in Google Cloud Storage.
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_sensor.py :language: python :dedent: 4 :start-after: [START howto_sensor_object_with_prefix_exists_task] :end-before: [END howto_sensor_object_with_prefix_exists_task]
You can set the deferrable
param to True if you want this sensor to run asynchronously, leading to more
efficient utilization of resources in your Airflow deployment. However the triggerer component needs to be enabled
for this functionality to work.
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_sensor.py :language: python :dedent: 4 :start-after: [START howto_sensor_object_with_prefix_exists_task_async] :end-before: [END howto_sensor_object_with_prefix_exists_task_async]
Use the :class:`~airflow.providers.google.cloud.sensors.gcs.GCSUploadSessionCompleteSensor` to check for a change in the number of files with a specified prefix in Google Cloud Storage.
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_sensor.py :language: python :dedent: 4 :start-after: [START howto_sensor_gcs_upload_session_complete_task] :end-before: [END howto_sensor_gcs_upload_session_complete_task]
You can set the parameter deferrable
to True if you want the worker slots to be freed up while sensor is running.
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_sensor.py :language: python :dedent: 4 :start-after: [START howto_sensor_gcs_upload_session_async_task] :end-before: [END howto_sensor_gcs_upload_session_async_task]
Use the :class:`~airflow.providers.google.cloud.sensors.gcs.GCSObjectUpdateSensor` to check if an object is updated in Google Cloud Storage.
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_sensor.py :language: python :dedent: 4 :start-after: [START howto_sensor_object_update_exists_task] :end-before: [END howto_sensor_object_update_exists_task]
You can set the deferrable
param to True if you want this sensor to run asynchronously, leading to efficient
utilization of resources in your Airflow deployment. However the triggerer component needs to be enabled
for this functionality to work.
.. exampleinclude:: /../../providers/tests/system/google/cloud/gcs/example_gcs_sensor.py :language: python :dedent: 4 :start-after: [START howto_sensor_object_update_exists_task_async] :end-before: [END howto_sensor_object_update_exists_task_async]
Sensors have different modes that determine the behaviour of resources while the task is executing. See Airflow sensors documentation for best practices when using sensors.
For further information, look at: