Connecting to Spark SQL
Establishing a Connection shows how to authenticate to Spark SQL 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 Spark SQL 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 SupportTo deploy the driver JAR file, you must have Java Development Kit (JDK) 1.8 or higher installed on your system.
Spark SQL Version SupportThe driver leverages Spark Thrift to enable bidirectional SQL access to SparkSQL data. Spark version 1.6 and above are supported.
Create Connection ObjectsSee Connecting from Code to create JDBC Connection objects.
Query Data from CodeSee Executing Statements and Using Prepared Statements to execute SQL statements to Spark SQL tables.
Connect from Java-Based ToolsSee Using from Tools shows how to connect to Spark SQL and query data from several popular database tools.