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Get the Report →Connect to Databricks Data in Aqua Data Studio
Access Databricks data from tools in Aqua Data Studio such as the Visual Query Builder and the Table Data Editor.
The CData JDBC Driver for Databricks integrates Databricks data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to Databricks 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 Databricks data source can then be accessed from Aqua Data Studio tools.
- In Aqua Data Studio, select Register Server from the Servers menu.
- In the Register Server form, select the 'Generic - JDBC' connection.
- Enter the following JDBC connection properties:
- Name: Enter a name for the data source; for example, Databricks.
- Driver Location: Click the Browse button and select the cdata.jdbc.databricks.jar file, located in the lib subfolder of the installation directory.
- Driver: Enter the Driver's class name, cdata.jdbc.databricks.DatabricksDriver.
URL: Enter the JDBC URL, which starts with jdbc:databricks: and is followed by a semicolon-separated list of connection properties.
To connect to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
- Server: Set to the Server Hostname of your Databricks cluster.
- HTTPPath: Set to the HTTP Path of your Databricks cluster.
- Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Databricks JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.databricks.jar
Fill in the connection properties and copy the connection string to the clipboard.
A typical JDBC URL is below:jdbc:databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;
Query Databricks Data
You can now query the tables exposed.