How to Connect DBeaver to Postmark 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 Postmark data with wizards in DBeaver and browse data in the DBeaver GUI.

Create a JDBC Data Source for Postmark 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[product_name] XXXX\) and select the JAR file (cdata.jdbc.API.jar).

Create a Connection to Postmark 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:

   Using API Key Authentication

   Postmark uses server API tokens to authenticate requests. Each Postmark server has its own API token, which controls access to messages, bounces, templates, and statistics associated with that server.

   To obtain your Server API Token, log in to your Postmark account and navigate to the server you want to connect to. Go to API Tokens under the server settings and copy the token labeled Server API token.

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

   • AuthScheme: Set this to APIKey.
   • APIKey: Set this to your Postmark Server API Token. This value is sent as the X-Postmark-Server-Token header on every request.

   Example connection string:

   Profile=C:\profiles\Postmark.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your-server-api-token"
   

   Connecting to Postmark

   Once the authentication is configured, you can connect to Postmark and query data from any of the available tables such as OutboundMessages, Bounces, and Templates.

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the Postmark 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\Postmark.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your-server-api-token"
   

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

Query Postmark 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 Postmark data in DBeaver. Join the CData Community or reach out to our Support Team if you have any questions.