Working with Apache Airflow™ interfaces

To work with Managed Service for Apache Airflow™, you can use the web interface or the Apache Airflow™ API.

To open a web interface or send an API request, users need the managed-airflow.user role or higher. The API checks the role via the IAM token used for authentication.

Apache Airflow™ interfaces are accessible via the internet, so the role check is required for added security. Even if an attacker has the link to the web interface and admin user password for authentication, they will not have the required role to access the interface.

Working with the web interfaceWorking with the web interface

1. In the management console, open the cluster page.

2. Go to the Managed Service for Apache Airflow™ web server page.

3. In the web interface that opens, enter the credentials:

   • Username: Admin
   • Password: Admin user password that you set when creating a cluster

For more information about how to use the web interface, see the Apache Airflow™ documentation.

Using the Apache Airflow™ APIUsing the Apache Airflow™ API

You can make Apache Airflow™ API requests from VMs located in your Managed Service for Apache Airflow™ cluster cloud network.

1. In the cloud network hosting the Managed Service for Apache Airflow™ cluster, create a Linux VM.

2. Set up a NAT gateway to connect to the VM.

3. Get an IAM token for a subject with the managed-airflow.user role or higher. The process of getting a token depends on the subject type:

   • Yandex account
   • Service account
   • Federated account

4. Make an API request, for example, using cURL. In the authorization parameters, enter your username and password.

   Query example:

   curl -X GET \
       'https://c-<cluster_ID>.airflow.yandexcloud.net/api/v1/dags' \
       --user 'admin:<admin_user_password>' \
       --header 'Content-Type: application/json' \
       --header 'X-Cloud-Authorization: Bearer <IAM_token>'
   

   The request returns a list of DAG files. For an example of the response, refer to the Apache Airflow™ API documentation.