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This guide helps you migrate your Azure Databricks workloads to the latest version of Databricks Runtime 11.x. 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.
Note
LTS means this version is under long-term support. See Databricks Runtime support lifecycles.
Apache Spark migration guidance
Use the following table to find the Apache Spark version for your Databricks Runtime version. Each link opens the Apache Spark migration guide for that release on archive.apache.org (Spark-specific changes between versions).
| Databricks Runtime version | Apache Spark version |
|---|---|
| 11.0 - 11.3 | 3.3.0 |
| 10.4 LTS - 10.5 | 3.2.1 |
Databricks Runtime behavior changes
The following notable behavior changes were introduced into each of the following Databricks Runtime 11.x releases.
Databricks Runtime system environment properties, features, and libraries
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:
- Databricks Runtime 11.3 LTS for Machine Learning (EoS)
- Databricks Runtime 11.3 LTS (EoS)
- Databricks Runtime 10.4 LTS for Machine Learning (EoS)
- Databricks Runtime 10.4 LTS (EoS)
Post-release maintenance updates are listed in Databricks Runtime maintenance updates.