![]() ![]() now also downloads to local sync folder (similar to Workspace browser).Reworked DBFS browser - Thanks to JacekPliszka9. ![]() ![]() added auto-update every 10 seconds for jobs and clusters.Connections are stored in VSCode again - either per workspace or globally per user.Sensitive values (PAT) are now stored in the system key chain.Major rework of environment/connection configurations.fix issue with new environment/Connection configuration and exportFormats property.Check out configuratio property localSyncSubfolders add support for custom sub-folders in the local sync folder for the different items.fixed an issue with the LastActiveConnection.fixed an issue where and error is thrown if only the default connection was specified.fixed an issue with Secrets - you can now add/delete secrets again.add SQL Data browser as in the Databricks UI.fixed an issue with Azure KeyVault secret scopes.fixed an issue with upload of whole workspace folders.Datatypes for columns including complex columns (array, struct, map).further improvements to the SQL Data browser.support DATABRICKS_CONFIG_FILE for custom config file locations.use Databricks CLI profiles to manage connections.added support for Databricks CLI profiles.fix issue with repositories in workspace.fix issues with Databricks running on GCP.Up-/Download is not yet supported by the underlying API add support to list regular files from Git repositories.Easy configuration via standard VS Code settings.Support for multiple Databricks workspace connections.Integration for CI/CD using DatabricksPS.view SQL tables and views from Databricks metastore.Support for Code Cells if you do not want to use the.Execution of notebooks against a Databricks Cluster (via Databricks-Connect).Compare/Diff of local vs online notebook (currently only supported for raw files but not for notebooks).The extensions can be downloaded from the official Visual Studio Code extension gallery: Databricks VSCode Features To do this, please refer to Databricks-Connect but from that point of view, these two tools are independent! It allows you to sync notebooks but does not help you with executing those notebooks against a Databricks cluster. This is a Visual Studio Code extension that allows you to work with Databricks locally from VSCode in an efficient way, having everything you need integrated into VS Code - see Features. ![]()
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