Databricks Connect for Scala
note
This article covers Databricks Connect for Databricks Runtime 13.3 LTS and above.
Databricks Connect enables you to connect popular IDEs such as IntelliJ IDEA, notebook servers, and other custom applications to Databricks compute. See What is Databricks Connect?.
- For Databricks Connect for Python, see Databricks Connect for Python.
- For Databricks Connect for R, see Databricks Connect for R.
Get started
To get started with Databricks Connect for Scala:
- Confirm that your workspace and local development environment meet the Databricks Connect requirements and choose a Databricks Connect package version that is compatible with your configuration. See Databricks Connect usage requirements.
- Install Databricks Connect. See Install Databricks Connect for Scala.
- Walk through the Databricks Connect for Scala tutorial. See Tutorial: Run code from IntelliJ IDEA on classic compute.
Additional resources
To learn more about Databricks Connect, see the following articles:
- To configure compute, see Compute configuration for Databricks Connect.
- To view additional simple code examples, see Code examples for Databricks Connect for Scala.
- To view more complex code examples, see the example applications for Databricks Connect repository in GitHub, specifically:
- To migrate from Databricks Connect for Databricks Runtime 12.2 LTS and below to Databricks Connect for Databricks Runtime 13.3 LTS and above, see Migrate to Databricks Connect for Scala.
- See also information about troubleshooting and limitations.