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
- 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, usesbt assembly
to create a fat JAR. - Upload the JAR to Databricks: Upload your JAR file to a Databricks volume or the DBFS (Databricks File System).
- 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.
- 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
- Q: Can I run a JAR file directly from a Databricks notebook?
A: No, you cannot run a JAR file directly from a Databricks notebook. You need to create a job or use it in a Scala notebook.
- Q: How do I upload a JAR file to Databricks?
A: You can upload a JAR file to Databricks by using the Databricks UI to upload it to a volume or the DBFS.
- Q: What programming languages are supported in Databricks notebooks?
A: Databricks notebooks support Python, R, and Scala.
- Q: Can I use Databricks Connect to run Java code?
A: Yes, Databricks Connect allows you to run Java code on a Databricks cluster from your local environment.
- Q: How do I specify the main class when running a JAR job?
A: In the job task settings, you need to specify the main class name in the “Main class” field.
- Q: Are there size limits for job output in Databricks?
A: Yes, job output is limited to 20MB. You can prevent stdout from being returned by setting a specific Spark configuration.
- Q: Can I display HTML content in a Databricks notebook?
A: Yes, you can use the
displayHTML
function to display HTML content in a Databricks notebook.
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.