Scala 3 Databricks


                   Scala 3 Databricks

You can still develop Scala 3 applications and run them on a Databricks cluster by following these steps:

  1. Use a Compatible Spark Version: Ensure you are using Spark 3.2.0 or later, as these versions are built with Scala 2.13, which is compatible with Scala 3.
  2. Choose the Right Runtime: When creating or selecting a cluster on Databricks, opt for a runtime that includes Spark 3.2.0 (or newer) and Scala 2.13. While Databricks may not explicitly offer a Scala 3 runtime, the Scala 2.13 runtime will be sufficient.
  3. Build Your Scala 3 Application: Develop your Scala 3 application using your preferred tools and libraries. Make sure to include the necessary Spark dependencies.
  4. Deploy and Run: Deploy your compiled Scala 3 application (JAR file) to the Databricks cluster and run it like any other Spark application.


Additional Notes:

  • Community Support: The Scala and Spark communities are actively working on improving Scala 3 compatibility. Check forums and blogs for updates and best practices.
  • Databricks Connect: If you prefer to develop locally, Databricks Connect allows you to connect your local development environment to a Databricks cluster, making testing and deploying your Scala 3 applications easier.

Databricks Training Demo Day 1 Video:

You can find more information about Databricks Training in this Dtabricks Docs Link



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