Connecting to Databricks

Establishing a Connection shows how to authenticate to Databricks 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 Databricks 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.

Databricks Version Support

The CData JDBC Driver for Databricks leverages Databricks Thrift to enable bidirectional SQL access to Databricks data. The driver supports databases that run Databricks Runtime Version 9.1 and later. It also supports the Pro and Classic Databricks SQL versions. The data model is fully dynamic and automatically reflects the data that is available in your Databricks environment. Any updates to tables or schemas are immediately accessible through SQL.

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 Databricks tables.

• Connect from Java-Based Tools

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