Databricks Runtime 9.1 LTS migration guide
This guide helps you migrate your Azure Databricks workloads to Databricks Runtime 9.1 LTS, powered by Apache Spark 3.1.2.
Databricks recommends that you migrate your workloads to a supported LTS version from that version’s next most-recent supported LTS version whenever possible. Therefore, this article covers Databricks Runtime versions from Databricks Runtime 7.3 LTS (EoS) to Databricks Runtime 13.3 LTS.
Note
LTS means this version is under long-term support. See Databricks Runtime LTS version lifecycle.
To migrate workloads from Databricks Runtime 7.2 or below, Databricks recommends that you migrate your workloads in the following order:
- Migrate to Databricks Runtime LTS 7.3. See the Databricks Runtime 7.3 LTS (EoS) migration guide.
- Migrate from Databricks Runtime 7.3 LTS to Databricks Runtime 13.3 LTS by following the Apache Spark migration guidance.
Databricks Runtime 11.3 LTS is the latest supported LTS version. To migrate workloads from Databricks Runtime 9.1 LTS to Databricks Runtime 11.3 LTS, see the Databricks Runtime 11.x migration guide.
Apache Spark migration guidance
Databricks Runtime 9.1 LTS is powered by Apache Spark 3.1.2. For reference, the following Databricks Runtime versions from Databricks Runtime 7.3 LTS to Databricks Runtime 9.1 LTS are powered by these Apache Spark versions:
| Databricks Runtime version | Apache Spark version |
|---|---|
| 13.3 LTS | 3.4.1 |
| 9.1 LTS | 3.1.2 |
| 7.3 LTS | 3.0.1 |
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 7.3 LTS to Databricks Runtime 9.1 LTS, see the following:
Post-release maintenance updates are listed in Databricks Runtime maintenance updates.