Forum Discussion

pstauduhar's avatar
pstauduhar
Frequent Visitor
1 year ago
Solved

Edit Model in Service automatical converts to Large Semantic model in Pro Workspace

We recently enabled the preview feature to be able to edit models in the service. This had been working fine for us recently.   However, beginning yesterday, when we went to edit one of our semanti...
Need Help
  • dkdata's avatar
    dkdata
    1 year ago

    Hi, I am seeing the same issue and its happening on all datasets.

    The only way i was able to resolve this was to upload a smaller version of the same model by filtering the data. Then converting it small dataset and Then uploading the full model.

    This was not the case a previously as I was able to edit the model without any conversion. Not sure if this will be the intended functionality going forward or just a bug. If its intended then this feature will just become useless to the Pro users that have large models

    The service does not allow you to do anything to the model once the size of the model is >1GB on Pro licence.

    This is a preview feature things are likely to break. Hopefully this is just a bug they revert it back to the previous experience

Anonymous's avatar
Anonymous
Not applicable
1 year ago

Hi pstauduhar ,

Thank you for reaching out to the Microsoft Fabric Community. Also, thank you dkdata  for your valuable input. As already mentioned, since this is a preview feature, there might be some limitations. Please refer to the documentation below:

Edit data models in the Power BI service (preview) - Power BI | Microsoft Learn

 

Additionally, please try these troubleshooting steps which might help resolve the issue. First, check your Workspace Settings under Power BI Service > Workspace Settings to see if Large Semantic Model is enabled. If it is, try disabling it and republishing your dataset. You can also attempt to republish the dataset from Power BI Desktop under a different name to keep it as a standard semantic model. If the issue persists, try publishing the dataset to a different Pro workspace to see if the conversion is workspace-specific.

 

As per Microsoft’s official documentation, Large Semantic Models are meant for Premium capacity, so if this is an intentional change, Pro users with large datasets may need to either optimize dataset size or consider Premium capacity.

 

I hope my suggestions give you good idea, if you need any further assistance, feel free to reach out.

If this post helps, then please give us Kudos and consider Accept it as a solution to help the other members find it more quickly.

 

Thank you.