This guide helps you migrate your Databricks workloads to the latest version of Databricks Runtime 11.x. To do so, Databricks recommends that you migrate your workloads in the following order:
If your workloads are currently running on Databricks Runtime 10.4 LTS or above, you can migrate directly to the latest version of Databricks Runtime 11.x, as described later in this article.
If your workloads are currently running on Databricks Runtime 10.3 or below, do the following:
Migrate to Databricks Runtime 10.4 LTS first. See the Databricks Runtime 10.x migration guide.
Follow the guidance in this article to migrate from Databricks Runtime 10.4 LTS to the latest version of Databricks Runtime 11.x.
LTS means this version is under long-term support. See Databricks Runtime LTS version lifecycle.
For information on migrating between Databricks Runtime versions, see the Databricks Runtime migration guide.
The most recent version of the Databricks Runtime is 13.2, powered by Apache Spark 3.4.0. For Spark-specific migration information, click on one or more of the following links by Databricks Runtime version to view the corresponding Apache Spark Migration Guide. For reference, Databricks Runtime 10.4 LTS is powered by Apache Spark 3.2.1.
Databricks Runtime version
Apache Spark version
11.0 - 11.3
10.4 LTS - 10.5
The following notable behavior changes were introduced into each of the following DBR 11.x releases.
For information about system environment properties as well as new, changed, and deprecated features and libraries in Databricks Runtime releases from Databricks Runtime 10.4 LTS to the latest version of Databricks Runtime 11.x, see the following:
Post-release maintenance updates are listed in Databricks Runtime maintenance updates.