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Connect to Spark Data in Aqua Data Studio

Access Spark data from tools in Aqua Data Studio such as the Visual Query Builder and the Table Data Editor.

The CData JDBC Driver for Spark integrates Spark data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to Spark data through the connection manager and execute queries.

Create a JDBC Data Source

You can use the connection manager to define connection properties and save them in a new JDBC data source. The Spark data source can then be accessed from Aqua Data Studio tools.

  1. In Aqua Data Studio, select Register Server from the Servers menu.
  2. In the Register Server form, select the 'Generic - JDBC' connection.
  3. Enter the following JDBC connection properties:
    • Name: Enter a name for the data source; for example, Spark.
    • Driver Location: Click the Browse button and select the cdata.jdbc.sparksql.jar file, located in the lib subfolder of the installation directory.
    • Driver: Enter the Driver's class name, cdata.jdbc.sparksql.SparkSQLDriver.
    • URL: Enter the JDBC URL, which starts with jdbc:sparksql: and is followed by a semicolon-separated list of connection properties. You will find information on the required connection string options in the help documentation. A typical JDBC URL is below:

      jdbc:sparksql:Server=127.0.0.1;
  4. Set the Server, Database, User, and Password connection properties to connect to SparkSQL.

Query Spark Data

You can now query the tables exposed.

 
 
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