Connect to Google Data Catalog Data in DBVisualizer

The CData JDBC Driver for Google Data Catalog implements JDBC standards to provide connectivity to Google Data Catalog data in applications ranging from business intelligence tools to IDEs. This article shows how to establish a connection to Google Data Catalog data in DBVisualizer and use the table editor to load Google Data Catalog data.

Create a New JDBC Data Source for Google Data Catalog Data

Follow the steps below to use the Driver Manager to provide connectivity to Google Data Catalog data from DBVisualizer tools.

1. In DBVisualizer, click Tools -> Driver Manager -> Create a New Driver.
2. Enter a name for the data source.
3. Enter the following in the URL Format box: jdbc:googledatacatalog:
   The DBVisualizer Driver Manager.
4. In the User Specified tab, click the Open File button and select the cdata.jdbc.googledatacatalog.jar file, located in the lib subfolder of the installation directory.
5. In the Driver Class menu, select the GoogleDataCatalogDriver class, cdata.jdbc.googledatacatalog.GoogleDataCatalogDriver.

Define the Connection to the JDBC Data Source

Follow the steps below to save connection properties in the JDBC URL.

1. In the Database tab, right-click the Database Connection node and click Create a Database Connection.

2. In the Connection section, set the following options:

   • Database Type: If you selected the wizard option, the database type is automatically detected. If you selected the "No Wizard" option, select the Generic or Auto Detect option in the Database Type menu.
   • Driver: Select the driver you just created.

   • Database URL: Enter the full JDBC URL. The syntax of the JDBC URL is jdbc:googledatacatalog: followed by the connection properties in a semicolon-separated list of name-value pairs.

     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.

     When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

     A typical connection string is below:

     jdbc:googledatacatalog:ProjectId=YourProjectId;InitiateOAuth=GETANDREFRESH
   • Database UserId: The username to use to authenticate to Google Data Catalog.
   • Database Password: The password to use to authenticate to Google Data Catalog.

3. On the Connection tab, click Connect.

To browse through tables exposed by the Google Data Catalog JDBC Driver, right-click a table and click Open in New Tab.

To execute SQL queries, use the SQL Commander tool: Click SQL Commander -> New SQL Commander. Select the Database Connection, Database, and Schema from the available menus.

See the "Supported SQL" chapter in the help documentation for more information on the supported SQL. See the "Data Model" chapter for table-specific information.