How to Connect DBeaver to Apache Airflow via a JDBC Driver

The CData API Driver for JDBC implements JDBC standards that enable third-party tools to interoperate, from wizards in IDEs to business intelligence tools. This article shows how to connect to Apache Airflow data with wizards in DBeaver and browse data in the DBeaver GUI.

Create a JDBC Data Source for Apache Airflow Data

Follow the steps below to load the driver JAR in DBeaver.

1. Open the DBeaver application and, in the "Database" menu, select the "Driver Manager" option. Click "New" to open the "Create new driver" form.
2. In the Settings tab:
   • Set Driver Name to a user-friendly name for the driver (e.g. CData API Driver for JDBC).
   • Set Class Name to the class name for the JDBC driver: cdata.jdbc.api.APIDriver.
   • Set URL Template to jdbc:api:.
   
3. In the Libraries tab, click "Add File," navigate to the "lib" folder in the installation directory (C:\Program Files\CData\CData API Driver for JDBC XXXX\) and select the JAR file (cdata.jdbc.API.jar).

Create a Connection to Apache Airflow Data

Follow the steps below to add credentials and other required connection properties.

1. In the "Database" menu, click "New Database Connection."
2. In the "Connect to a database" wizard that results, select the driver you just created (e.g. CData API Driver for JDBC) and click "Next >."
3. On the Main tab of the configuration wizard, set the JDBC URL, using the required connection properties:

   Start by setting the Profile connection property to the location of the ApacheAirflow Profile on disk (e.g. C:\profiles\ApacheAirflow.apip). Next, set the ProfileSettings connection property to the connection string for ApacheAirflow (see below).

   ApacheAirflow API Profile Settings

   Apache Airflow 3 uses JWT Bearer tokens for API authentication. You can generate a token from the Airflow web UI under Settings or via the Airflow CLI using airflow users create and the /api/v2/auth/token endpoint. Note that this profile targets Apache Airflow 3.x using the /api/v2 REST API. The legacy /api/v1 endpoint used by Airflow 2.x is not supported.

   After setting the following connection properties, you are ready to connect:

   • AuthScheme: Set this to APIKey.
   • APIKey: Set this to your Apache Airflow JWT Bearer token.
   • Server: Set this to the base URL of your Airflow instance (e.g. http://localhost:8080).

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the Apache Airflow JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

   
   java -jar cdata.jdbc.api.jar
   

   Fill in the connection properties and copy the connection string to the clipboard.

   

   Below is a typical connection string:

   
   jdbc:api:Profile=C:\profiles\ApacheAirflow.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_jwt_token;Server=http://localhost:8080';
   

   
4. Click "Test Connection ..." to ensure you have configured the connection properly.
5. Click "Finish."

Query Apache Airflow Data

You can now query information from the tables exposed by the connection: Right-click a Table and then click View Table. The data is available on the Data tab.

More Information & Free Trial

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Apache Airflow data in DBeaver. Join the CData Community or reach out to our Support Team if you have any questions.