Forum Discussion
Semantic Link Lab - Create Data Model
Hi KarenL7,
It means a semantic model named ModelBPA already exists in that workspace, and at least one table has already been added to it. Sempy Labs (by design) reuse an existing model if the name matches, and does not auto-overwrite or merge. Your next step would be to find the semantic model named ModelBPA, delete it and re-run your code.
One important thing to note (just mentioning) is sempy_labs.create_model_bpa_semantic_model() function defaults dataset to 'ModelBPA' (if not mentioned explicitly).
Hi KarenL7,
Thank you for reaching out to the Microsoft Fabric Community Forum.
The error you are seeing isn’t related to the Lakehouse table, but to an existing semantic model in the workspace. Even if ModelBPA feels like a new dataset, a semantic model with that name was likely created during a previous notebook run or BPA execution. When create_model_bpa_semantic_model() runs again, it attempts to add the same table to that existing model, which causes the “table already exists” error.
To resolve this, either delete the existing semantic model (dataset) named ModelBPA from the workspace and rerun the notebook, or use a new dataset name (for example, ModelBPA_v2).
Hope that clarifies. Let us know if you have any doubts regarding this. We will be happy to help.
Thank you for using the Microsoft Fabric Community Forum.
Hi KarenL7,
Just wanted to follow up. If the shared guidance worked for you, that’s wonderful hopefully it also helps others looking for similar answers. If there’s anything else you'd like to explore or clarify, don’t hesitate to reach out.
Thank you.
Hi KarenL7,
Just checking in to see if the issue has been resolved on your end. If the earlier suggestions helped, that’s great to hear! And if you’re still facing challenges, feel free to share more details happy to assist further.Thank you.