Bridge Databricks Connectivity with Apache NiFi

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Databricks JDBC Driver

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



Access and process Databricks data in Apache NiFi using the CData JDBC Driver.

Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. When paired with the CData JDBC Driver for Databricks, NiFi can work with live Databricks data. This article describes how to connect to and query Databricks data from an Apache NiFi Flow.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Databricks data. When you issue complex SQL queries to Databricks, the driver pushes supported SQL operations, like filters and aggregations, directly to Databricks and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Databricks data using native data types.

Connecting to Databricks Data in Apache NiFi

  1. Download the CData JDBC Driver for Databricks installer, unzip the package, and run the JAR file to install the driver.
  2. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.databricks.jar (and cdata.jdbc.databricks.lic), to the Apache NiFi lib subfolder, for example, C:\nifi-1.3.0-bin\nifi-1.3.0\lib.

    On Windows, the default location for the CData JDBC Driver is C:\Program Files\CData\CData JDBC Driver for Databricks.

  3. Start Apache NiFi. For example:

    cd C:\nifi-1.3.0-bin\nifi-1.3.0\bin
    run-nifi.bat
    
  4. Navigate to the Apache NiFi UI in your web browser: typically http://localhost:8080/nifi
  5. Click the (Configuration) button from the Operate sidebar.
  6. In the NiFi Flow Configuration page, navigate to the Controller Services tab.
  7. Click the button to create a new controller service.
  8. In the Add Controller Service page, select DBCPConnection Pool, and then click Add.
  9. Click the gear button to configure the new DBCPConnection Pool.
  10. In the Configure Controller Service page, navigate to the Properties tab. Fill in the properties:

    PropertyValue
    Database Connection URLjdbc:databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;
    Database Driver Class Namecdata.jdbc.databricks.DatabricksDriver

    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.

    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).
  11. Click the button to enable the new DBCPConnection Pool.

Your Databricks data is now available for use in Apache NiFi. For example, you can use the DBCPConnection Pool as the source for a QueryDatabaseTable processor.

Download a free, 30-day trial of the CData JDBC Driver for Databricks and start working with your live Databricks data in Apache NiFi. Reach out to our Support Team if you have any questions.