Bibhor Dhungel
10/24/2023, 10:20 PMkapa.ai
10/24/2023, 10:21 PM0 2 * * *. Please note that only one sync per connection can run at a time. If a sync is scheduled to run before the previous sync finishes, the scheduled sync will start after the completion of the previous sync. For more information, you can refer to the [Airbyte documentation on configuring connections](https://docs.airbyte.com/cloud/managing-airbyte-cloud/configuring-connections) and [getting started with Airbyte Cloud](https://docs.airbyte.com/cloud/getting-started-with-airbyte-cloud).Bibhor Dhungel
10/24/2023, 10:22 PMkapa.ai
10/24/2023, 10:22 PMkapa.ai
10/24/2023, 10:23 PMdocker-compose command. If this is your first time using Airbyte, go through the [Basic Tutorial](https://github.com/airbytehq/airbyte/tree/e378d40236b6a34e1c1cb481c8952735ec687d88/docs/quickstart/getting-started.md). Set your Connection's sync frequency to manual. Airflow will be responsible for manually triggering the Airbyte job. If you don't have an Airflow instance, follow this [guide](https://airflow.apache.org/docs/apache-airflow/stable/start/docker.html) to set one up. You will also need to install the apache-airflow-providers-airbyte package to use Airbyte Operator on Apache Airflow. You can read more about it [here](https://airflow.apache.org/docs/apache-airflow-providers-airbyte/stable/index.html). 2. Retrieve the Airbyte Connection ID: You'll need the Airbyte Connection ID so your Airflow DAG knows which Airbyte Connection to trigger. This ID can be seen in the URL on the connection page in the Airbyte UI. The Airbyte UI can be accessed at localhost:8000. 3. Create an Airbyte connection in Apache Airflow: Once Airflow starts, navigate to Airflow's Connections page. The Airflow UI can be accessed at <http://localhost:8080/>. Airflow will use the Airbyte API to execute your actions. The Airbyte API uses HTTP, so you'll need to create a HTTP Connection. Airbyte is typically hosted at localhost:8001. Configure Airflow's HTTP connection accordingly. 4. Create a DAG in Apache Airflow to trigger your Airbyte job: After setting up the connection, you can create a Directed Acyclic Graph (DAG) in Apache Airflow to trigger your Airbyte job. For more detailed instructions, you can refer to the [Airbyte Operator guide](https://docs.airbyte.com/operator-guides/using-the-airflow-airbyte-operator) and the [tutorial on using Airflow and Airbyte together](https://airbyte.com/tutorials/how-to-use-airflow-and-airbyte-together).