Fivetran Provider for Apache Airflow

This package provides an operator, sensor, and hook that integrates Fivetran into Apache Airflow. FivetranOperator allows you to start Fivetran jobs from Airflow and FivetranSensor allows you to monitor a Fivetran sync job for completion before running downstream processes.

Fivetran automates your data pipeline, and Airflow automates your data processing.

Installation

Prerequisites: An environment running apache-airflow.

pip install airflow-provider-fivetran

Configuration

In the Airflow user interface, configure a Connection for Fivetran. Most of the Connection config fields will be left blank. Configure the following fields:

• Conn Id: fivetran_default
• Conn Type: Fivetran
• Fivetran API Key: Your Fivetran API Key
• Fivetran API Secret: Your Fivetran API Secret

Find the Fivetran API Key and Secret in the Fivetran Account Settings, under the API Config section. See our documentation for more information on Fivetran API Authentication.

The sensor and operator assume the Conn Id is set to fivetran_default, however if you are managing multipe Fivetran accounts, you can set this to anything you like. See the DAG in examples to see how to specify a custom Conn Id.

Modules

Fivetran Operator

FivetranOperator starts a Fivetran sync job. Note that when a Fivetran sync job is controlled via an Operator, it is no longer run on the schedule as managed by Fivetran. In other words, it is now scheduled only from Airflow.

FivetranOperator requires that you specify the connector_id of the sync job to start. You can find connector_id in the Settings page of the connector you configured in the Fivetran dashboard.

Import into your DAG via:

from fivetran_provider.operators.fivetran import FivetranOperator

Fivetran Sensor

FivetranSensor monitors a Fivetran sync job for completion. Monitoring with FivetranSensor allows you to trigger downstream processes only when the Fivetran sync jobs have completed, ensuring data consistency. You can use multiple instances of FivetranSensor to monitor multiple Fivetran connectors.

Note, it is possible to monitor a sync that is scheduled and managed from Fivetran; in other words, you can use FivetranSensor without using FivetranOperator. If used in this way, your DAG will wait until the sync job starts on its Fivetran-controlled schedule and then completes.

FivetranSensor requires that you specify the connector_id of the sync job to start. You can find connector_id in the Settings page of the connector you configured in the Fivetran dashboard.

Import into your DAG via:

from fivetran_provider.sensors.fivetran import FivetranSensor

Examples

See the examples directory for an example DAG.

Issues

Please submit issues and pull requests in our official repo: https://github.com/fivetran/airflow-provider-fivetran

We are happy to hear from you. Please email any feedback to the authors at devrel@fivetran.com.

Acknowledgements

Special thanks to Pete DeJoy, Plinio Guzman, and David Koenitzer of Astronomer.io for their contributions and support in getting this provider off the ground.