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Refresh Now in Power Bi service
Hi,muhssamy .Thank you for your reply.
Unfortunately, I don't have any experience testing detecting large semantic models at the moment. Here are some of my suggestions
You could try recreating a new workspace with large semantic model selection turned on, and then uploading individual reports of different sizes to detect what kind of scenarios would cause compression to fail. Keep the small semantic model
I've searched the site and found some documentation on testing and managing workspaces that I hope could help you out.
URL:
Using Azure Log Analytics in Power BI - Power BI | Microsoft Learn
New ‘ExecutionMetrics’ event in Azure Log Analytics for Power BI Semantic Models | Microsoft Power BI Blog | Microsoft Power BI
Can you share how you are looking at the workspace that has been set up with the large semantic model feature when refreshed, and how you are detecting if it is compressing properly to a large semantic model after refreshing, rather than incorrectly remaining as a small semantic model?
This will help more users on the forum. Looking forward to your reply.
I hope my suggestions give you good ideas, if you have any more questions, please clarify in a follow-up reply.
Best Regards,
Carson Jian,
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
"Can you share how you are looking at the workspace that has been set up with the large semantic model feature when refreshed, and how you are detecting if it is compressing properly to a large semantic model after refreshing, rather than incorrectly remaining as a small semantic model?
This will help more users on the forum. Looking forward to your reply"
for this :-
we have configured the model itself as large semantic model not all the models in fabric workspace.
i am detecting the compression through the vertipaq analyzer in coulumn tabs. you can see the relation between # segments and # Rows
Hi,muhssamy Thank you for your reply.
Thank you very much for sharing your technique, using VertiPaq Analyzer to analyze the information of data model is a good way.
Regarding your question: Why the setup fails when you set up a large semantic model, and sometimes a small semantic model is still displayed, this may be caused by a variety of issues, in addition to the capacity issue I mentioned before, it may also be related to the refresh operation, data storage limit, and access rights, etc. You can check the relevant parameters in detail to see if the conversion fails due to other setting issues.
You can check the related parameters in detail to see if the conversion fails due to other setting problems.
Of course, the most important thing is to check whether the failure of large-scale semantic model conversion affects your actual data refresh/display operation, I wish you a speedy solution to your doubts.
I hope my suggestions give you good ideas, if you have any more questions, please clarify in a follow-up reply.
Best Regards,
Carson Jian,
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.