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URL: https://www.cdata.com/kb/tech/ganalytics-jdbc-dbvr.rst

⇱ How to Connect DBeaver to Google Analytics via a JDBC Driver


How to Connect DBeaver to Google Analytics via a JDBC Driver

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Manage Google Analytics data with visual tools in DBeaver like the query browser.

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

Create a JDBC Data Source for Google Analytics 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 Analytics).
    • Set Class Name to the class name for the JDBC driver: cdata.jdbc.googleanalytics.GoogleAnalyticsDriver.
    • Set URL Template to jdbc:googleanalytics:.
    πŸ‘ 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.GoogleAnalytics.jar). πŸ‘ Loading the JDBC JAR file (Salesforce is shown).

Create a Connection to Google Analytics 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 Analytics) and click "Next >." πŸ‘ 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 uses the OAuth authentication standard. To access Google APIs on behalf on individual users, you can use the embedded credentials or you can register your own OAuth app.

    OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, register an application to obtain the OAuth JWT values.

    In addition to the OAuth values, set Profile to the profile you want to connect to. This can be set to either the Id or website URL for the Profile. If not specified, the first Profile returned will be used.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.googleanalytics.jar
    

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

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

    Below is a typical connection string:

    jdbc:googleanalytics:Profile=MyProfile;InitiateOAuth=GETANDREFRESH;
    
    πŸ‘ Configuring the JDBC URL (Salesforce is shown).
  4. Click "Test Connection ..." to ensure you have configured the connection properly. πŸ‘ A successfully configured connection (Salesforce is shown).
  5. Click "Finish."

Query Google Analytics 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.

πŸ‘ 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 Analytics and start working with your live Google Analytics data in DBeaver. Join the CData Community or reach out to our Support Team if you have any questions.

Ready to get started?

Download a free trial of the Google Analytics Driver to get started:

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Google Analytics JDBC Driver

An easy-to-use database-like interface for Java based applications and reporting tools access to live Google Analytics data (Traffic, Users, Referrals, Geo, Behaviors, and more).