Forum Discussion
Environment for Python packages to be used by different PySpark scripts in different Workspaces
this still has not solved my issue. Everything I need those identical libraries to be used in other workspaces, I need to create another environment in the workspace, and the creation of new environment takes a long time. Can Microsoft looks into how to have a better solution to this?
Hi tan_thiamhuat , Thank you for reaching out to the Microsoft Community Forum.
Environments in Microsoft Fabric are inherently tied to the workspace they are created in and cannot be directly shared as standalone environments across different workspaces. However, if multiple workspaces are attached to the same Fabric capacity, like within a trial capacity, Fabric may reuse cached environment containers behind the scenes. This makes environment sharing appear to work occasionally but it is not a supported or reliable feature and can lead to random disconnections.
You cannot create an environment outside any workspace, as all Fabric items must reside within workspaces attached to a capacity. The best practice when you need consistent Python environments across multiple workspaces is to automate environment creation using shared package configuration files (requirements.txt, conda.yml) or consider containerizing environments with Azure Container Registry for guaranteed consistency. This ensures reproducibility without duplicating effort or relying on unstable cache mechanisms. Planning proper environment management early is key, especially when moving from trial to dedicated capacities.
Workspaces in Microsoft Fabric and Power BI - Microsoft Fabric | Microsoft Learn
Create, Configure, and Use an Environment in Fabric - Microsoft Fabric | Microsoft Learn