October 2024
These features and Databricks platform improvements were released in October 2024.
Note
Releases are staged. Your Databricks account might not be updated until a week or more after the initial release date.
Databricks Assistant helps optimize SQL queries
October 31, 2024
Improve the efficiency of SQL queries with syntax warnings and the /optimize
slash command. Optimizations pop up in real time, helping you identify inefficiencies before execution.
Mosaic AI Model Serving is now available on GCP (Public Preview)
October 31, 2024
Mosaic AI Model Serving is now available on Google Cloud in the following regions: us-east
and us-central1
.
Mosaic AI Model Serving provides a unified interface to deploy, govern, and query AI models. Each model you serve is available as a REST API to integrate into your web or client application.
Enable a metastore to be assigned automatically to new workspaces
October 28, 2024
Account admins can now set a Unity Catalog metastore to be assigned automatically when a new workspace is created in the same region, enabling Unity Catalog by default in those workspaces. See Enable a metastore to be automatically assigned to new workspaces.
Compute system tables now available in all GCP regions
October 22, 2024
The clusters
and node_types
system tables are now available in all GCP regions. See Compute system tables reference.
Databricks Assistant Autocomplete is now generally available
October 10, 2024
Assistant Autocomplete provides intelligent inline code suggestions as you type to help you write code more quickly and efficiently. For more information, see Get inline code suggestions: Python and SQL examples and the announcement.
Filters on notebook results tables now persist
October 8, 2024
Notebooks results tables now persist filters when you reopen a notebook. See Filter results.
Improvements to comments in notebooks
October 8, 2024
Improvements to the UI for commenting in notebooks make comments easier to add and find. For more information, see Code comments.
Databricks Runtime 16.0 (Beta)
October 8, 2024
Databricks Runtime 16.0 and Databricks Runtime 16.0 ML are now available as Beta releases.
See Databricks Runtime 16.0 (Beta) and Databricks Runtime 16.0 for Machine Learning (Beta).
More reliable reloading of modified Python modules with improvements to autoreload
October 8, 2024
In Databricks Runtime 16.0 and above, updates to the autoreload
extension improve the safety and reliability of reloading modified Python modules imported from workspace files. With these changes, autoreload
, when possible, reloads only the portion of a module that has changed instead of the entire module. Additionally, Databricks now automatically suggests using the autoreload
extension if the module has changed since its last import. See Autoreload for Python modules.