Forum Discussion
Would Enabling Large Semantic Model Storage Format Improve Refresh Performance?
- 1 month ago
Hi manoj_0911 ,
Yes, you can enable it as its recommended by Msft and the semantic model can grow beyond the size during refresh and it handles the XMLA operarion in a better way . While it will not reduce the load on your SQL server, it provides significant backend benefits for your Fabric/Premium capacity:
- SQL Server Load: Zero impact. It does not change how data is queried or extracted from the source.
- Refresh Efficiency: Much faster and safer "commit" phase. It writes to disk incrementally during the refresh, significantly reducing memory spikes and Out-Of-Memory failures.
- Capacity Health: Datasets load back into memory faster for end-users, improving overall Premium capacity performance.
- The Only Downside: Once enabled, you cannot download the dataset back to a local `.pbix` file. (Always maintain the latest copy of the PBIX in sharepoint or a common drive)- Bottom line: Enable it to future-proof your dataset's reliability and protect your capacity's memory as your 3-year archive grows.
https://learn.microsoft.com/en-us/fabric/enterprise/powerbi/service-premium-large-models?source=docsThanks!
Natarajan Manivasagan
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Hello manoj_0911
Enabling Large Semantic Model Storage Format is unlikely to improve refresh performance, SQL Server load, or incremental refresh efficiency in your environment (Premium Capacity + Import Mode + Incremental Refresh). Its primary benefits are supporting very large semantic models and improving XMLA-based operations and scalability.
Reference:
https://learn.microsoft.com/en-us/fabric/enterprise/powerbi/service-premium-large-models
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