How to Connect DBeaver to Google Data Catalog via a JDBC Driver

The CData JDBC Driver for Google Data Catalog 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 Google Data Catalog data with wizards in DBeaver and browse data in the DBeaver GUI.

Create a JDBC Data Source for Google Data Catalog 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 JDBC Driver for Google Data Catalog).
   • Set Class Name to the class name for the JDBC driver: cdata.jdbc.googledatacatalog.GoogleDataCatalogDriver.
   • Set URL Template to jdbc:googledatacatalog:.
   👁 Configure the new driver settings (Salesforce is shown).
   
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.GoogleDataCatalog.jar). 👁 Loading the JDBC JAR file (Salesforce is shown).
   

Create a Connection to Google Data Catalog 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 JDBC Driver for Google Data Catalog) and click "Next >." 👁 Selecting the driver (Salesforce is shown).
   
3. On the Main tab of the configuration wizard, set the JDBC URL, using the required connection properties:

   Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.

   Before connecting, specify the following to identify the organization and project you would like to connect to:

   • OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

     Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.

   • ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

     Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.

   When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.googledatacatalog.jar
   

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

   👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
   

   Below is a typical connection string:

   jdbc:googledatacatalog:ProjectId=YourProjectId;InitiateOAuth=GETANDREFRESH;
   

   👁 Configuring the JDBC URL (Salesforce is shown).
   
4. Click "Test Connection ..." to ensure you have configured the connection properly. 👁 A successfully configured connection (Salesforce is shown).
   
5. Click "Finish."

Query Google Data Catalog 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.

👁 The results of a query in DBeaver. (Salesforce is shown.)

More Information & Free Trial

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