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Connect to DataRobot Data in DBeaver

Manage DataRobot data with visual tools in DBeaver like the query browser.

The CData JDBC Driver for DataRobot implements JDBC standards that enable third-party tools to interoperate, from wizards in IDEs to business intelligence tools. This article shows how to connect to DataRobot data with wizards in DBeaver and browse data in the DBeaver GUI.

Create a JDBC Data Source for DataRobot Data

Follow the steps below to load the driver JAR in DBeaver.

  1. Open the DBeaver application and, in the Databases menu, select the Driver Manager option. Click New to open the Create New Driver form.
  2. In the Driver Name box, enter a user-friendly name for the driver.
  3. To add the .jar, click Add File.
  4. In the create new driver dialog that appears, select the cdata.jdbc.datarobot.jar file, located in the lib subfolder of the installation directory.
  5. Click the Find Class button and select the DataRobotDriver class from the results. This will automatically fill the Class Name field at the top of the form. The class name for the driver is cdata.jdbc.datarobot.DataRobotDriver.
  6. Add jdbc:datarobot: in the URL Template field.

Create a Connection to DataRobot Data

Follow the steps below to add credentials and other required connection properties.

  1. In the Databases menu, click New Connection.
  2. In the Create new connection wizard that results, select the driver.
  3. On the next page of the wizard, click the driver properties tab.
  4. Enter values for authentication credentials and other properties required to connect to DataRobot.

    To connect to DataRobot, the following connection properties are required: User, Password, and PredictionInstance. DataRobotKey may also be required depending on your type of DataRobot predictions instance. If using the Predictions API, DataFile is required. The CSV DataFile should include a header row as the first row of the datafile. APIKey is not required, but can be supplied. If not supplied, the driver will handle obtaining an APIKey.

    User, DataRobotKey, and APIKey are the credentials for the DataRobot account.

    ProjectID, DataFile, and ModelId are the parameters for the project, dataset, and model type.

    Below is a typical connection string:

    jdbc:datarobot:PredictionInstance=myinstance.orm.datarobot.com;DataFile=PATH\TO\input_file.csv;DataRobotKey=123-abc-456-def;User=username;Password=password;

Query DataRobot Data

You can now query information from the tables exposed by the connection: Right-click a Table and then click Edit Table. The data is available on the Data tab.

 
 
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