Connect to Databricks Data in as an External Source in Dremio

The CData JDBC Driver for Databricks implements JDBC Standards and allows various applications, including Dremio, to work with live Databricks data. Dremio is a data lakehouse platform designed to empower self-service, interactive analytics on the data lake. With the CData JDBC Driver, you can include live Databricks data as a part of your enterprise data lake. This article describes how to connect to Databricks data from Dremio as an External Source.

The CData JDBC Driver enables high-speed access to live Databricks data in Dremio. Once you install the driver, authenticate with Databricks and gain immediate access to Databricks data within your data lake. By surfacing Databricks data using native data types and handling complex filters, aggregations, & other operations automatically, the CData JDBC Driver grants seamless access to Databricks data.

Build the ARP Connector

To use the CData JDBC Driver in Dremio, you need to build an Advanced Relation Pushdown (ARP) Connector. You can view the source code for the Connector on GitHub or download the ZIP file (GitHub.com) directly. Once you copy or extract the files, run the following command from the root directory of the connector (the directory containing the pom.xml file) to build the connector.

mvn clean install

Once the JAR file for the connector is built (in the target directory), you are ready to copy the ARP connector and JDBC Driver to your Dremio instance.

Installing the Connector and JDBC Driver

Install the ARP Connector to %DREMIO_HOME%/jars/ and the JDBC Driver for Databricks to %DREMIO_HOME%/jars/3rdparty. You can use commands similar to the following:

ARP Connector

docker cp PATH\TO\dremio-databricks-plugin-20.0.0.jar dremio_image_name:/opt/dremio/jars/

JDBC Driver for Databricks

docker cp PATH\TO\cdata.jdbc.databricks.jar dremio_image_name:/opt/dremio/jars/3rdparty/

Connecting to Databricks

Databricks will now appear as an External Source option in Dremio. The ARP Connector built uses a JDBC URL to connect to Databricks data. The JDBC Driver has a built-in connection string designer that you can use (see below).

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Databricks JDBC Driver. 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).

NOTE: To use the JDBC Driver in Dremio, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.

Add the Runtime Key (RTK) to the JDBC URL. You will end up with a JDBC URL similar to the following:

jdbc:databricks:RTK=5246...;Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;

Access Databricks as an External Source

To add Databricks as an External Source, click to add a new source and select Databricks. Copy the JDBC URL and paste it into the New Databricks Source wizard.

Save the connection and you are ready to query live Databricks data in Dremio, easily incorporating Databricks data into your data lake.

More Information & Free Trial

Using the CData JDBC Driver for Databricks in Dremio, you can incorporate live Databricks data into your data lake. Check out our CData JDBC Driver for Databricks page for more information about connecting to Databricks. Download a free, 30 day trial of the CData JDBC Driver for Databricks and get started today.