Connecting to Google BigQuery

Establishing a Connection shows how to authenticate to Google BigQuery and configure any necessary connection properties in a JDBC URL. You can also configure driver capabilities through the available Connection properties, from data modeling to firewall traversal. The Advanced Settings section shows how to set up more advanced configurations and troubleshoot connection errors.

Connecting to JDBC Data Sources

The CData JDBC Driver for Google BigQuery provides full support for integration into Java applications, including Eclipse, NetBeans, IntelliJ IDEA, and many other Integrated Development Environments, as well as J2EE applications running on a Java server such as Tomcat. You can find JSP, console, and swing demos in the installation folder.

Java Version Support

To deploy the driver JAR file, you must have Java Development Kit (JDK) 1.8 or higher installed on your system.

Google BigQuery Version Support

The driver enables read/write SQL-92 access to the BigQuery tables in your Google account or Google Apps domain. The complete aggregate and join syntax in BigQuery is supported. Additionally, statements in the BigQuery syntax can be passed through. The driver uses version 2.0 of the BigQuery Web services API: You must enable this API by creating a project in the Google Developers Console. See Connecting to Google for a guide to creating a project and authenticating to this API.

See Also

• Create Connection Objects

  See Connecting from Code to create JDBC Connection objects.

• Query Data from Code

  See Executing Statements and Using Prepared Statements to execute SQL statements to Google BigQuery tables.

• Connect from Java-Based Tools

  See Using from Tools shows how to connect to Google BigQuery and query data from several popular database tools.