semantic model refresh in case of framing in fabric

[powerbiexpert22]

do i need to refresh my semantic model in case of direct lake connection like we do in case of import mode to get the latest data from darabase ? i am referring to framing process which occurs in case of direct lake connection as mentioned in below url

https://learn.microsoft.com/en-us/fabric/fundamentals/direct-lake-overview#framing

[powerbiexpert22]

Hi @cengizhanarslan ,

what if "Keep your Direct Lake data up to date" setting is OFF, do i need to refesh the semantic model and how many refreshes are possible? also , i could not locate this setting in official documentation 

[cengizhanarslan · Accepted solution]

Then you must trigger a semantic model refresh to make the model aware of newly written Delta files. But keep it mind that this is not an Import refresh. It is a lightweight metadata refresh (often called framing), which re-reads Delta table metadata, updates file references, does NOT re-import all data into VertiPaq.

[v-menakakota]

Hi @powerbiexpert22 ,
Thanks for reaching out to the Microsoft fabric community forum. 

I would also take a moment to thank  @cengizhanarslan  , for actively participating in the community forum and for the solutions you’ve been sharing in the community forum. Your contributions make a real difference.

I hope the above details help you fix the issue. If you still have any questions or need more help, feel free to reach out. We’re always here to support you 

   

Best Regards, 
Community Support Team  

[v-menakakota]

Hi @powerbiexpert22 ,

I hope the above details help you fix the issue. If you still have any questions or need more help, feel free to reach out. We’re always here to support you 

   

Best Regards, 
Community Support Team 

[cengizhanarslan]

Direct Lake models are not a cached snapshot of data like Import mode. Instead, they read Delta tables in OneLake directly. So if your semantic model is in Direct Lake mode and “Keep your Direct Lake data up to date” setting is ON,
then fresh data is reflected automatically in reports, no scheduled refresh required to get the latest Lakehouse changes.