End-of-support Databricks Runtime release notes

This page lists release notes for Databricks Runtime versions that have reached end-of-support and end-of-life. For information on supported Databricks Runtime versions, see Databricks Runtime release notes versions and compatibility. For information on the Databricks Runtime support policy and schedule, see Databricks support lifecycles.

After a Databricks Runtime version reaches end-of-support, you can't select it in the UI when you create or edit compute. Until the version reaches end-of-life, you can still create compute that uses it with the Create cluster API. For details, see Databricks Runtime support lifecycles.

Create compute with an end-of-support version

When a Databricks Runtime version reaches end-of-support, it no longer appears in the list of versions you can select when you create compute in the workspace UI. You can still create compute with an end-of-support version by setting its version key in the spark_version field of the Create cluster API.

End-of-support and end-of-life history

The following table shows Databricks Runtime versions that have reached end-of-support. It includes the Apache Spark version, original release date, the date when support ended, and the end-of-life date.