topic Re: VS Code and Connect - Manual Environment Setup in Data Engineering

VS Code and Connect - Manual Environment Setup

spoltier — Fri, 04 Sep 2026 09:05:44 GMT

The current version of the extension forces usage of certain python packaging / project tools. I used to be able to use the extension with my project which uses pixi, by setting up the dependencies myself in pyproject.toml / pixi.toml.

The current version of the extension ignores that setup completely and starts setting up a project based on uv. This basically makes the connect functionality unusable for my project.

I would like to be able to select the kernel / python environment myself, without the extension making a bunch of changes to my project configuration.

Re: VS Code and Connect - Manual Environment Setup

szymon_dybczak — Fri, 04 Sep 2026 09:52:28 GMT

Hi @spoltier ,

There's now a neat way to configure this using databricks cli command called: databricks environments setup-local

Check below news:

Automatically create local Python environments compatible with Databricks Runtime : r/databricks

If my answer was helpful, please consider marking it as accepted solution

Re: VS Code and Connect - Manual Environment Setup

spoltier — Fri, 04 Sep 2026 10:07:59 GMT

Reply to follow up - it looks like basic functionality (running cells) works, though the red "Databricks Connect disabled" status indicator is still present.

Re: VS Code and Connect - Manual Environment Setup

mancy34 — Fri, 04 Sep 2026 15:58:36 GMT

I’m running into the same kind of issue with projects that already have their own environment setup. Being able to manually select the Python environment/kernel without the extension forcing uv changes would make Connect much more flexible.