January 2022

These features and Databricks platform improvements were released in January 2022.

Note

Releases are staged. Your Databricks account may not be updated until a week or more after the initial release date.

MLflow Model Registry Webhooks on Databricks (Public Preview)

January 31, 2022

You can now use webhooks to listen for MLflow Model Registry events and trigger actions based on them. For example, you can use webhooks to automate and integrate your machine learning pipeline with existing CI/CD tools and workflows, trigger CI builds when a new model version is created, or notify your team members through Slack when there is a request to transition a model to production.

Databricks Runtime 10.3 (Beta)

January 26, 2022

Databricks Runtime 10.3, 10.3 Photon, and 10.3 ML are now available as Beta releases.

See the full release notes at Databricks Runtime 10.3 (unsupported) and Databricks Runtime 10.3 for ML (unsupported).

View information on recent job runs

January 25, 2022

You can now view in real time currently running and recently completed job runs in the Job runs page in the Databricks jobs user interface. See View recent job runs.

Use Markdown in Databricks Repos file editor

January 25-31, 2022: Version 3.64

The Databricks Repos file editor can now render markdown. For details, see Git integration with Databricks Repos.

Improved cluster management for jobs that orchestrate multiple tasks

January 24, 2022

You can now reuse job clusters in your jobs that orchestrate multiple tasks. Cluster reuse allows you to reduce cluster resource usage by using a single cluster to run multiple tasks in a job run. See Create and run Databricks Jobs.

Databricks Runtime 8.3 and Databricks Runtime 8.4 series support ends

January 20, 2022

Support for Databricks Runtime 8.3, Databricks Runtime 8.3 for Machine Learning, Databricks Runtime 8.4, and Databricks Runtime 8.4 for Machine Learning ended on January 20. See Databricks runtime support lifecycles.

Databricks JDBC driver 2.6.22

January 18, 2022

We have released version 2.6.22 of the Databricks JDBC driver (download). This release upgrades the log4j library to version 2.17.1 and removes the slf4j-log4j12 dependency.

MLflow Model Serving on Databricks

January 10-18, 2022: Version 3.63

MLflow Model Serving on Databricks is now available on Google Cloud.

New Share button replaces Permissions icon in notebooks

January 10-18, 2022: Version 3.63

To change permissions on a notebook, use the new Share button share button in the notebook UI, or select Permissions from the drop-down menu. The Permissions icon in the notebook toolbar Permissions icon has been removed. For more information about setting notebook permissions, see Collaborate using Databricks notebooks.

New workspace language options

January 10, 2022

Workspaces are now available in the following languages:

  • Deutsch

  • Italiano

  • 日本語

  • 한국어