Google Cloud Transfer Service Operators¶

Prerequisite Tasks
GcpTransferServiceJobCreateOperator
GcpTransferServiceJobDeleteOperator
GcpTransferServiceJobUpdateOperator
GcpTransferServiceOperationCancelOperator
GcpTransferServiceOperationGetOperator
GcpTransferServiceOperationsListOperator
GcpTransferServiceOperationPauseOperator
GcpTransferServiceOperationResumeOperator
GCPTransferServiceWaitForJobStatusSensor
Reference

Prerequisite Tasks ¶

To use these operators, you must do a few things:

Select or create a Cloud Platform project using Cloud Console.

Enable billing for your project, as described in Google Cloud documentation.

Enable API, as described in Cloud Console documentation.
Install API libraries via pip.
pip install 'apache-airflow[gcp]'
Detailed information is available Installation
Setup Connection.

GcpTransferServiceJobCreateOperator ¶

Create a transfer job.

The function accepts dates in two formats:

consistent with Google API

{ "year": 2019, "month": 2, "day": 11 }

as an datetime object

The function accepts time in two formats:

consistent with Google API

{ "hours": 12, "minutes": 30, "seconds": 0 }

as an time object

If you want to create a job transfer that copies data from AWS S3 then you must have a connection configured. Information about configuration for AWS is available: Amazon Web Services Connection The selected connection for AWS can be indicated by the parameter aws_conn_id.

Arguments¶

Some arguments in the example DAG are taken from the OS environment variables:

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_DESCRIPTION = os.environ.get('GCP_DESCRIPTION', 'description')
GCP_TRANSFER_TARGET_BUCKET = os.environ.get('GCP_TRANSFER_TARGET_BUCKET')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get('WAIT_FOR_OPERATION_POKE_INTERVAL', 5))

GCP_TRANSFER_SOURCE_AWS_BUCKET = os.environ.get('GCP_TRANSFER_SOURCE_AWS_BUCKET')
GCP_TRANSFER_FIRST_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_FIRST_TARGET_BUCKET', 'gcp-transfer-first-target'
)
GCP_TRANSFER_SECOND_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_SECOND_TARGET_BUCKET', 'gcp-transfer-second-target'
)

      
    

Using the operator¶

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

gcs_to_gcs_transfer_body = {
    DESCRIPTION: GCP_DESCRIPTION,
    STATUS: GcpTransferJobsStatus.ENABLED,
    PROJECT_ID: GCP_PROJECT_ID,
    SCHEDULE: {
        SCHEDULE_START_DATE: datetime(2015, 1, 1).date(),
        SCHEDULE_END_DATE: datetime(2030, 1, 1).date(),
        START_TIME_OF_DAY: (datetime.utcnow() + timedelta(minutes=2)).time(),
    },
    TRANSFER_SPEC: {
        GCS_DATA_SOURCE: {BUCKET_NAME: GCP_TRANSFER_FIRST_TARGET_BUCKET},
        GCS_DATA_SINK: {BUCKET_NAME: GCP_TRANSFER_SECOND_TARGET_BUCKET},
        TRANSFER_OPTIONS: {ALREADY_EXISTING_IN_SINK: True},
    },
}  # type: Dict[str, Any]

      
    

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

aws_to_gcs_transfer_body = {
    DESCRIPTION: GCP_DESCRIPTION,
    STATUS: GcpTransferJobsStatus.ENABLED,
    PROJECT_ID: GCP_PROJECT_ID,
    SCHEDULE: {
        SCHEDULE_START_DATE: datetime(2015, 1, 1).date(),
        SCHEDULE_END_DATE: datetime(2030, 1, 1).date(),
        START_TIME_OF_DAY: (datetime.utcnow() + timedelta(minutes=2)).time(),
    },
    TRANSFER_SPEC: {
        AWS_S3_DATA_SOURCE: {BUCKET_NAME: GCP_TRANSFER_SOURCE_AWS_BUCKET},
        GCS_DATA_SINK: {BUCKET_NAME: GCP_TRANSFER_FIRST_TARGET_BUCKET},
        TRANSFER_OPTIONS: {ALREADY_EXISTING_IN_SINK: True},
    },
}

      
    

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

create_transfer_job_from_aws = GcpTransferServiceJobCreateOperator(
    task_id="create_transfer_job_from_aws", body=aws_to_gcs_transfer_body
)

Templating¶

template_fields = ('body', 'gcp_conn_id', 'aws_conn_id')

More information¶

See Google Cloud Transfer Service - Method: transferJobs.create.

GcpTransferServiceJobDeleteOperator ¶

Deletes a transfer job.

Arguments¶

Some arguments in the example DAG are taken from the OS environment variables:

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_DESCRIPTION = os.environ.get('GCP_DESCRIPTION', 'description')
GCP_TRANSFER_TARGET_BUCKET = os.environ.get('GCP_TRANSFER_TARGET_BUCKET')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get('WAIT_FOR_OPERATION_POKE_INTERVAL', 5))

GCP_TRANSFER_SOURCE_AWS_BUCKET = os.environ.get('GCP_TRANSFER_SOURCE_AWS_BUCKET')
GCP_TRANSFER_FIRST_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_FIRST_TARGET_BUCKET', 'gcp-transfer-first-target'
)
GCP_TRANSFER_SECOND_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_SECOND_TARGET_BUCKET', 'gcp-transfer-second-target'
)

      
    

Using the operator¶

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

delete_transfer_from_aws_job = GcpTransferServiceJobDeleteOperator(
    task_id="delete_transfer_from_aws_job",
    job_name="{{task_instance.xcom_pull('create_transfer_job_from_aws')['name']}}",
    project_id=GCP_PROJECT_ID,
)

      
    

Templating¶

template_fields = ('job_name', 'project_id', 'gcp_conn_id', 'api_version')

More information¶

See Google Cloud Transfer Service - REST Resource: transferJobs - Status

GcpTransferServiceJobUpdateOperator ¶

Updates a transfer job.

Arguments¶

Some arguments in the example DAG are taken from the OS environment variables:

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_DESCRIPTION = os.environ.get('GCP_DESCRIPTION', 'description')
GCP_TRANSFER_TARGET_BUCKET = os.environ.get('GCP_TRANSFER_TARGET_BUCKET')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get('WAIT_FOR_OPERATION_POKE_INTERVAL', 5))

GCP_TRANSFER_SOURCE_AWS_BUCKET = os.environ.get('GCP_TRANSFER_SOURCE_AWS_BUCKET')
GCP_TRANSFER_FIRST_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_FIRST_TARGET_BUCKET', 'gcp-transfer-first-target'
)
GCP_TRANSFER_SECOND_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_SECOND_TARGET_BUCKET', 'gcp-transfer-second-target'
)

      
    

Using the operator¶

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

update_body = {
    PROJECT_ID: GCP_PROJECT_ID,
    TRANSFER_JOB: {DESCRIPTION: "{}_updated".format(GCP_DESCRIPTION)},
    TRANSFER_JOB_FIELD_MASK: "description",
}

      
    

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

update_job = GcpTransferServiceJobUpdateOperator(
    task_id="update_job",
    job_name="{{task_instance.xcom_pull('create_transfer_job_from_aws')['name']}}",
    body=update_body,
)

      
    

Templating¶

template_fields = ('job_name', 'body', 'gcp_conn_id', 'aws_conn_id')

More information¶

See Google Cloud Transfer Service - Method: transferJobs.patch

GcpTransferServiceOperationCancelOperator ¶

Gets a transfer operation. The result is returned to XCOM.

Arguments¶

Some arguments in the example DAG are taken from the OS environment variables:

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_DESCRIPTION = os.environ.get('GCP_DESCRIPTION', 'description')
GCP_TRANSFER_TARGET_BUCKET = os.environ.get('GCP_TRANSFER_TARGET_BUCKET')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get('WAIT_FOR_OPERATION_POKE_INTERVAL', 5))

GCP_TRANSFER_SOURCE_AWS_BUCKET = os.environ.get('GCP_TRANSFER_SOURCE_AWS_BUCKET')
GCP_TRANSFER_FIRST_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_FIRST_TARGET_BUCKET', 'gcp-transfer-first-target'
)
GCP_TRANSFER_SECOND_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_SECOND_TARGET_BUCKET', 'gcp-transfer-second-target'
)

      
    

Using the operator¶

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

cancel_operation = GcpTransferServiceOperationCancelOperator(
    task_id="cancel_operation",
    operation_name="{{task_instance.xcom_pull("
    "'wait_for_second_operation_to_start', key='sensed_operations')[0]['name']}}",
)

      
    

Templating¶

template_fields = ('operation_name', 'gcp_conn_id', 'api_version')

More information¶

See Google Cloud Transfer Service - Method: transferOperations.cancel

GcpTransferServiceOperationGetOperator ¶

Gets a transfer operation. The result is returned to XCOM.

Arguments¶

Some arguments in the example DAG are taken from the OS environment variables:

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_DESCRIPTION = os.environ.get('GCP_DESCRIPTION', 'description')
GCP_TRANSFER_TARGET_BUCKET = os.environ.get('GCP_TRANSFER_TARGET_BUCKET')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get('WAIT_FOR_OPERATION_POKE_INTERVAL', 5))

GCP_TRANSFER_SOURCE_AWS_BUCKET = os.environ.get('GCP_TRANSFER_SOURCE_AWS_BUCKET')
GCP_TRANSFER_FIRST_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_FIRST_TARGET_BUCKET', 'gcp-transfer-first-target'
)
GCP_TRANSFER_SECOND_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_SECOND_TARGET_BUCKET', 'gcp-transfer-second-target'
)

      
    

Using the operator¶

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

get_operation = GcpTransferServiceOperationGetOperator(
    task_id="get_operation", operation_name="{{task_instance.xcom_pull('list_operations')[0]['name']}}"
)

Templating¶

template_fields = ('operation_name', 'gcp_conn_id')

More information¶

See Google Cloud Transfer Service - Method: transferOperations.get

GcpTransferServiceOperationsListOperator ¶

List a transfer operations. The result is returned to XCOM.

Arguments¶

Some arguments in the example DAG are taken from the OS environment variables:

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_DESCRIPTION = os.environ.get('GCP_DESCRIPTION', 'description')
GCP_TRANSFER_TARGET_BUCKET = os.environ.get('GCP_TRANSFER_TARGET_BUCKET')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get('WAIT_FOR_OPERATION_POKE_INTERVAL', 5))

GCP_TRANSFER_SOURCE_AWS_BUCKET = os.environ.get('GCP_TRANSFER_SOURCE_AWS_BUCKET')
GCP_TRANSFER_FIRST_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_FIRST_TARGET_BUCKET', 'gcp-transfer-first-target'
)
GCP_TRANSFER_SECOND_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_SECOND_TARGET_BUCKET', 'gcp-transfer-second-target'
)

      
    

Using the operator¶

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

list_operations = GcpTransferServiceOperationsListOperator(
    task_id="list_operations",
    filter={
        FILTER_PROJECT_ID: GCP_PROJECT_ID,
        FILTER_JOB_NAMES: ["{{task_instance.xcom_pull('create_transfer_job_from_aws')['name']}}"],
    },
)

      
    

Templating¶

template_fields = ('filter', 'gcp_conn_id')

More information¶

See Google Cloud Transfer Service - Method: transferOperations.list

GcpTransferServiceOperationPauseOperator ¶

Pauses a transfer operations.

Arguments¶

Some arguments in the example DAG are taken from the OS environment variables:

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_DESCRIPTION = os.environ.get('GCP_DESCRIPTION', 'description')
GCP_TRANSFER_TARGET_BUCKET = os.environ.get('GCP_TRANSFER_TARGET_BUCKET')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get('WAIT_FOR_OPERATION_POKE_INTERVAL', 5))

GCP_TRANSFER_SOURCE_AWS_BUCKET = os.environ.get('GCP_TRANSFER_SOURCE_AWS_BUCKET')
GCP_TRANSFER_FIRST_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_FIRST_TARGET_BUCKET', 'gcp-transfer-first-target'
)
GCP_TRANSFER_SECOND_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_SECOND_TARGET_BUCKET', 'gcp-transfer-second-target'
)

      
    

Using the operator¶

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

pause_operation = GcpTransferServiceOperationPauseOperator(
    task_id="pause_operation",
    operation_name="{{task_instance.xcom_pull('wait_for_operation_to_start', "
    "key='sensed_operations')[0]['name']}}",
)

      
    

Templating¶

template_fields = ('operation_name', 'gcp_conn_id', 'api_version')

More information¶

See Google Cloud Transfer Service - Method: transferOperations.pause

GcpTransferServiceOperationResumeOperator ¶

Resumes a transfer operations.

Arguments¶

Some arguments in the example DAG are taken from the OS environment variables:

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_DESCRIPTION = os.environ.get('GCP_DESCRIPTION', 'description')
GCP_TRANSFER_TARGET_BUCKET = os.environ.get('GCP_TRANSFER_TARGET_BUCKET')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get('WAIT_FOR_OPERATION_POKE_INTERVAL', 5))

GCP_TRANSFER_SOURCE_AWS_BUCKET = os.environ.get('GCP_TRANSFER_SOURCE_AWS_BUCKET')
GCP_TRANSFER_FIRST_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_FIRST_TARGET_BUCKET', 'gcp-transfer-first-target'
)
GCP_TRANSFER_SECOND_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_SECOND_TARGET_BUCKET', 'gcp-transfer-second-target'
)

      
    

Using the operator¶

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

resume_operation = GcpTransferServiceOperationResumeOperator(
    task_id="resume_operation", operation_name="{{task_instance.xcom_pull('get_operation')['name']}}"
)

Templating¶

template_fields = ('operation_name', 'gcp_conn_id', 'api_version')

More information¶

See Google Cloud Transfer Service - Method: transferOperations.resume

GCPTransferServiceWaitForJobStatusSensor ¶

Waits for at least one operation belonging to the job to have the expected status.

Arguments¶

Some arguments in the example DAG are taken from the OS environment variables:

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_DESCRIPTION = os.environ.get('GCP_DESCRIPTION', 'description')
GCP_TRANSFER_TARGET_BUCKET = os.environ.get('GCP_TRANSFER_TARGET_BUCKET')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get('WAIT_FOR_OPERATION_POKE_INTERVAL', 5))

GCP_TRANSFER_SOURCE_AWS_BUCKET = os.environ.get('GCP_TRANSFER_SOURCE_AWS_BUCKET')
GCP_TRANSFER_FIRST_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_FIRST_TARGET_BUCKET', 'gcp-transfer-first-target'
)
GCP_TRANSFER_SECOND_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_SECOND_TARGET_BUCKET', 'gcp-transfer-second-target'
)

      
    

Using the operator¶

airflow/contrib/example_dags/example_gcp_transfer.pyView Source

wait_for_operation_to_end = GCPTransferServiceWaitForJobStatusSensor(
    task_id="wait_for_operation_to_end",
    job_name="{{task_instance.xcom_pull('create_transfer_job_from_aws')['name']}}",
    project_id=GCP_PROJECT_ID,
    expected_statuses={GcpTransferOperationStatus.SUCCESS},
    poke_interval=WAIT_FOR_OPERATION_POKE_INTERVAL,
)

      
    

Templating¶

template_fields = ('job_name',)

Reference ¶

For further information, look at: