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Koritala
Post Patron
Post Patron

Semantic model Refresh Time Setup

Hi,

In power bi service is there any any setting that control the time of exection of semantic model refresh?

If the model taking long running, we need to set the default time to aborted.

can anyone tell where the setting are in serivce/

Thanks,

Sri.

 

3 ACCEPTED SOLUTIONS
rohit1991
Super User
Super User

Hii @Koritala 

 

The timeout limits are predefined by the service: Shared capacity (Pro) refresh can run up to 2 hours, while Premium capacity allows up to 5 hours per refresh. If a refresh exceeds these limits, it is automatically aborted. There is no configurable setting in the Power BI Service UI to modify this timeout; optimization of the dataset or use of Premium capacity is the typical approach if refresh duration is an issue.


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cengizhanarslan
Super User
Super User

You could achieve this by using Pipelines for refreshing your semantic models. If the process time exceeds timeout limit the refresh activity would be failed

cengizhanarslan_0-1773126075603.png

 

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v-tejrama
Community Support
Community Support

Hi @Koritala ,

Thanks for reaching out to the Microsoft fabric community forum.

Power BI Service does not offer a configurable setting for execution timeout during semantic model refreshes. The platform manages refresh duration limits, which cannot be adjusted via dataset, workspace, or gateway settings. In shared capacity, refreshes may run for up to two hours, while Premium capacity and Premium Per User workspaces allow up to five hours. If these limits are exceeded, the service will automatically terminate the refresh process.

 

To address refresh duration issues, it is recommended to optimize the semantic model or Power Query transformations, or to implement incremental refresh to process only recent data. For larger datasets or extended processing needs, Premium capacity provides a longer refresh window and additional resources.

Thank you.

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5 REPLIES 5
v-tejrama
Community Support
Community Support

Hi @Koritala ,

Thanks for reaching out to the Microsoft fabric community forum.

Power BI Service does not offer a configurable setting for execution timeout during semantic model refreshes. The platform manages refresh duration limits, which cannot be adjusted via dataset, workspace, or gateway settings. In shared capacity, refreshes may run for up to two hours, while Premium capacity and Premium Per User workspaces allow up to five hours. If these limits are exceeded, the service will automatically terminate the refresh process.

 

To address refresh duration issues, it is recommended to optimize the semantic model or Power Query transformations, or to implement incremental refresh to process only recent data. For larger datasets or extended processing needs, Premium capacity provides a longer refresh window and additional resources.

Thank you.

Hi @Koritala ,

 

I wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions.

Thank you.

Hi @Koritala ,

 

I wanted to follow up and see if you had a chance to review the information shared. If you have any further questions or need additional assistance, feel free to reach out.

Thank you.

cengizhanarslan
Super User
Super User

You could achieve this by using Pipelines for refreshing your semantic models. If the process time exceeds timeout limit the refresh activity would be failed

cengizhanarslan_0-1773126075603.png

 

_________________________________________________________
If this helped, ✓ Mark as Solution | Kudos appreciated
Connect on LinkedIn | Follow on Medium
AI-assisted tools are used solely for wording support. All conclusions are independently reviewed.
rohit1991
Super User
Super User

Hii @Koritala 

 

The timeout limits are predefined by the service: Shared capacity (Pro) refresh can run up to 2 hours, while Premium capacity allows up to 5 hours per refresh. If a refresh exceeds these limits, it is automatically aborted. There is no configurable setting in the Power BI Service UI to modify this timeout; optimization of the dataset or use of Premium capacity is the typical approach if refresh duration is an issue.


Did it work? ✔ Give a Kudo • Mark as Solution – help others too!

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