Google
Cloud Platform
Amazon Web Services
Microsoft AzureAugust 2021
These features and Databricks platform improvements were released in August 2021.
Note
Releases are staged. Your Databricks account may not be updated until a week or more after the initial release date.
Databricks Repos GA
August 31, 2021
Databricks Repos is now generally available. With Repos you can create new or clone existing Git repositories in Databricks, work with notebooks in these repositories, follow Git-based development and collaboration best practices, and integrate your CI/CD workflows with Repos APIs. Databricks Repos integrates with GitHub, Bitbucket, GitLab, and Azure DevOps. For details, see Git integration for Databricks Git folders and Repos API.
New Google Cloud region us-east1
August 31, 2021
Databricks is now available in the region us-east1. See Databricks clouds and regions.
Increased timeout for long-running notebook jobs
Aug 23-30, 2021: Version 3.53
You can now run notebook workflow jobs that take up to 30 days to complete. Previously, only notebook workflow jobs taking up to 48 hours to complete were supported. See Run a Databricks notebook from another notebook for more information.
Jobs service stability and scalability improvements
Aug 23-30, 2021: Version 3.53
The following changes increase the stability and scalability of the Jobs service:
Each new job and run is assigned a longer, unique, numeric, non-sequential identifier. Clients that use the Jobs API and depend on a fixed identifier length or sequential or monotonically increasing identifiers must be modified to accept identifiers that are longer, non-sequential, and unordered. The identifier type of
int64remains unchanged, and compatibility is preserved for clients that use IEEE 754 64-bit floating-point numbers, for example, JavaScript clients.The value of the
number_in_jobfield, included in the response to some Jobs API requests, is now set to the same value asrun_id.
Note
This feature was delayed to February 2022.
User entitlements granted by group membership are displayed in the admin console
Aug 23-30, 2021: Version 3.53
User entitlements granted by group membership are now displayed for each user on the Users tab in the admin console.
Manage MLflow experiment permissions (Public Preview)
Aug 23-30, 2021: Version 3.53
You can now now manage the permissions of an MLflow experiment from the experiment page. For details, see Change permissions for experiment.
Improved job creation from notebooks
Aug 23-30, 2021: Version 3.53
You can now edit and clone jobs associated with a notebook. For details, see Create and manage scheduled notebook jobs.
Improved support for collapsing notebook headings
Aug 23-30, 2021: Version 3.53
You can now collapse or expand all collapsible headings in a notebook. Previously, you could only collapse or expand a single heading at a time. For details, see Collapsible headings.
Databricks Runtime 9.0 and 9.0 ML are GA; 9.0 Photon is Public Preview
August 17, 2021
Databricks Runtime 9.0 and 9.0 ML are now generally available. 9.0 Photon is in Public Preview.
For information, see the full release notes at Databricks Runtime 9.0 (EoS) and Databricks Runtime 9.0 for ML (EoS).
Databricks Runtime 9.0 (Beta)
August 10, 2021
Databricks Runtime 9.0 and Databricks Runtime 9.0 ML are now available as Beta releases.
For information, see the full release notes at Databricks Runtime 9.0 (EoS) and Databricks Runtime 9.0 for ML (EoS).
Simplify and control cluster creation using cluster policies (Public Preview)
Aug 9-16, 2021: Version 3.52
Cluster policies are admin-defined, reusable cluster templates that enforce rules on cluster attributes and thus ensure that users create clusters that conform to those rules. As a Databricks admin, you can now create cluster policies and give users policy permissions. By doing that, you have more control over the resources created, give users the level of flexibility they need to do their work, and considerably simplify the cluster creation experience. See Create and manage compute policies.
Manage repos programmatically with the Databricks REST API (Public Preview)
Aug 9-16, 2021: Version 3.52
You can now manage remote Git repos by using the Databricks REST API. See Repos API.
Databricks Runtime 7.6 series support ends
August 8, 2021
Support for Databricks Runtime 7.6, Databricks Runtime 7.6 for Machine Learning, and Databricks Runtime 7.6 for Genomics ended on August 8. See Databricks support lifecycles.
Improved job creation and management workflow
August 9-13, 2021: Version 3.52
You can now view and manage jobs associated with a notebook. Specifically, you can start a job run, view the current or most recent run, pause or resume the job’s schedule, and delete the job.
The notebook job creation UI has been revised and new configuration options added. For details, see Create and manage scheduled notebook jobs.
Simplified instructions for setting Git credentials (Public Preview)
August 9-13, 2021: Version 3.52
The instructions on the Git integration tab of the User Settings page have been simplified.
Import multiple notebooks in .html format
August 9-13, 2021: Version 3.52
You can now import multiple notebooks in .html format in a .zip file. Previously, you could only import a single notebook in .html format at a time.
The .zip file can contain folders and notebooks in either .html format or source file format (Python, Scala, SQL, or R). A .zip file cannot include both formats.