databricks
Add support for interactive cell executions in ipynb notebooks on a remote cluster
First of all, thank you for great extension. Our team needed this extension to make our software engineering better with databricks.
But as our data scientists struggle with making codes neat within ipynb without IDEs, it would be really great if we have support for interactive ipynb execution attached to databricks cluster.
Do you have plans for it?
Support for cell based execution in ipynb notebooks is something we want to look into once we integrate with DBConnect v2.
Keeping this ticket open to track progress in the future.
Please upvote if you would like to see this feature.
I would second that but not only for .ipynb but also for .py files. You could then execute jupyter.execSelectionInteractive command to send the code, selected by the cursor, to the interactive window that would have Databricks kernel running
@fjakobs will this future enhancement allow us to debug .py files line by line as well? Or shall I raise another thread for this option?
Having the option to debug files using the integrated debugger from VSCode would be awesome!
@AndreiCalin24 I've created on so you can upvote and track progress https://github.com/databricks/databricks-vscode/issues/589
We have this as an experimental feature. Please refer to https://docs.databricks.com/en/dev-tools/vscode-ext-ref.html#additional-notebook-features-with-databricks-connect for guidelines on enabling this.
We have cell-by-cell execution with db-connect now, but we still don't support cell-by-cell execution if you want all the code to be executed on the remote cluster. I've renamed this issues to reflect that, still keeping it open
