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 (unsupported) to Databricks Runtime 13.3 LTS.

To migrate workloads from Databricks Runtime 7.2 or below, Databricks recommends that you migrate your workloads in the following order:

1. Migrate to Databricks Runtime LTS 7.3. See the Databricks Runtime 7.3 LTS (unsupported) migration guide.
2. 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.

For information on migrating between Databricks Runtime versions, see the Databricks Runtime migration guide.

Apache Spark migration guidance

Databricks Runtime 9.1 LTS is powered by Apache Spark 3.1.2. For Spark-specific migration information, see the Apache Spark 3.1.2 Migration Guide. 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 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:

• Databricks Runtime 9.1 LTS for Machine Learning
• Databricks Runtime 9.1 LTS

Post-release maintenance updates are listed in Databricks runtime maintenance updates.