Connect to Databricks Data in CloverDX (formerly CloverETL)

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Databricks JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Databricks.



Transfer Databricks data using the visual workflow in the CloverDX data integration tool.

The CData JDBC Driver for Databricks enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with Databricks as sources and destinations. In this article, you will use the JDBC Driver for Databricks to set up a simple transfer into a flat file. The CData JDBC Driver for Databricks enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with Databricks as sources and destinations. In this article, you will use the JDBC Driver for Databricks to set up a simple transfer into a flat file.

Connect to Databricks as a JDBC Data Source

  1. Create the connection to Databricks data. In a new CloverDX graph, right-click the Connections node in the Outline pane and click Connections -> Create Connection. The Database Connection wizard is displayed.
  2. Click the plus icon to load a driver from a JAR. Browse to the lib subfolder of the installation directory and select the cdata.jdbc.databricks.jar file.
  3. Enter the JDBC URL.

    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 with the DBInputTable Component

  1. Drag a DBInputTable from the Readers selection of the Palette onto the job flow and double-click it to open the configuration editor.
  2. In the DB connection property, select the Databricks JDBC data source from the drop-down menu.
  3. Enter the SQL query. For example: SELECT City, CompanyName FROM Customers WHERE Country = 'US'

Write the Output of the Query to a UniversalDataWriter

  1. Drag a UniversalDataWriter from the Writers selection onto the jobflow.
  2. Double-click the UniversalDataWriter to open the configuration editor and add a file URL.
  3. Right-click the DBInputTable and then click Extract Metadata.
  4. Connect the output port of the DBInputTable to the UniversalDataWriter.
  5. In the resulting Select Metadata menu for the UniversalDataWriter, choose the Customers table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
  6. Click Run to write to the file.