Databricks Integration

Fire Insights integrates with Databricks. It submits jobs to the Databricks clusters using the REST API of Databricks and have the results displayed back in Fire Insights.

Fire also fetches the list of Databases and Tables from Databricks, making it easier for the user to build their workflows and execute them. In addition fire displays the list of Databricks clusters running for the user.

Databricks can be running on Azure or on AWS.


Install Fire Insights on any machine. The machine has to be reachable from the web via a public IP or DNS entry. Then connect Fire Insights to your Databricks Cluster

Upload Fire Core Jar to Databricks

Fire Insights jar has to be uploaded to Databricks. Fire Insights jobs running on Databricks make use of this jar file.

Upload fire-x.y.z/fire-core-lib/fire-spark_2_3-core-3.1.0-jar-with-dependencies.jar to Databricks. Upload it under Workspace as a Library on to Databricks.

Login to Databricks Cluster

Click on workspace in the left side pane


Upload fire-spark_2_3-core-3.1.0-jar-with-dependencies.jar from localmachine on Clicking on Drop JAR here


Once fire-spark_2_3-core-3.1.0-jar-with-dependencies.jar uploaded, Click on Create

  • Check the box with Install automatically on all clusters, Inorder to avoid uploading manually to every cluster.

Configure the Uploaded Library in Fire Insights

Configure the path of the uploaded fire core jar library in Databricks in Fire Insights.

This has to be done under Administration/Configuration.


Configure app.postMessageURL

Configure app.postMessageURL to be the public IP of the machine. It has to be accessible from the Databricks Cluster.


Install Databricks JDBC Driver

Fire needs the Databricks JDBC Driver to be installed. Install it in the fire-user-lib folder of the Fire installation.

You can download the Databricks JDBC Driver from the Databricks site :

The driver is available as a zip file. eg:

  • Unzip the downloaded file. It will create a directory like SimbaSparkJDBC-
  • Copy the jdbc jar file named SparkJDBC4.jar into fire-x.y.z/fire-user-lib and fire-x.y.z/fire-server-lib

Create your REST API token in Databricks

Create your token in Databricks. It would be used in making REST API calls to Databricks from Fire Insights.

Login to your Databricks Account

Click on Account icon in right corner top


Click on User Settings


Click on Generate New Token


Add comment & Lifetime(days) for token expiry & Click on Generate


Copy the token generated and Click on DONE


Create Databricks Connection

Create a connection in Fire Insights under your Application for connecting to Databricks.

  • Specify your Databricks Token.
  • Specify the Databricks JDBC URL of your cluster in Databricks.

Now we are ready to start using the Databricks Connection in workflows etc.