Running a JAR File in Databricks Notebook

To run a JAR file in Databricks, you cannot directly execute it from a notebook. However, you can create a JAR file and use it in a Databricks job or import it into a Scala notebook to utilize its classes.

Step-by-Step Process

  1. Create the JAR File: Compile your Java or Scala code into a JAR file. For Java, use the jar command after compiling your classes. For Scala, use sbt assembly to create a fat JAR.
  2. Upload the JAR to Databricks: Upload your JAR file to a Databricks volume or the DBFS (Databricks File System).
  3. Create a Databricks Job: Go to the Databricks workspace, create a new job, and add a JAR task. Specify the main class and parameters as needed.
  4. Run the Job: Execute the job to run your JAR file.

Using JAR in a Scala Notebook

Alternatively, you can import the JAR into a Scala notebook. Upload the JAR to the cluster libraries, then import the classes in your Scala notebook to use them.

Frequently Asked Questions

Bottom Line

Running a JAR file in Databricks involves creating a job or using it within a Scala notebook. This approach allows you to leverage Java or Scala code in the Databricks environment efficiently.


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