capacity limit exceeded

[arkiboys]

Hi,

I get this message:

Unable to load model due to reaching capacity limits

Fabric has exceeded its capacity limit and so I can not create a semantic model.

Current seeting --> premium fabric capacity, large semantic model storage format

Any suggestions?

Thank you 

[arkiboys]

thank you

[v-nikhilan-msft]

Hi @arkiboys 
Glad that your query got resolved. Please continue using Fabric Community for any help regarding your queries.

[v-nikhilan-msft · Accepted solution]

Hi @arkiboys 
The error message you’re seeing is due to your Fabric instance reaching its capacity limits. This can happen when the computational resources required by your operations exceed the available resources in your current SKU.
Here are some details and suggestions:

SKU (Stock Keeping Unit):
In Microsoft Fabric, a SKU represents a specific resource tier with varying levels of memory and computing power. Each SKU is associated with a certain amount of Capacity Units (CUs), which measure the compute power available for that SKU.

Capacity Units (CU):
CU is a unit of measurement for compute power within a SKU. It quantifies the resources available for a given SKU.

Several factors can contribute to reaching capacity limits:

• Data volume: Loading large datasets or complex reports can consume memory and processing power.
• Concurrent users: If many users access reports simultaneously, it can strain the capacity.
• Complex calculations: Resource-intensive calculations may impact capacity.
• Data refresh frequency: Frequent data refreshes can consume resources.
• Queries and visuals: Complex queries or visuals may require more memory.

Frequent data refreshes can indeed impact capacity. Each refresh consumes resources (memory and processing). Consider optimizing refresh schedules or using incremental refresh where possible. When your capacity reaches 100% CU utilization, it means that you have fully utilized the available computing power. 

You can do the following:

• Restart the Power BI Service: Sometimes a simple restart can resolve temporary glitches. Try restarting the Power BI service and see if that allows you to load the model.

• Increase SKU Capacity (if applicable): If you're on a Power BI Premium plan, you might be able to increase the SKU capacity. This allocates more resources to your workspace and allows for handling larger models. 

• There might be a temporary throttling issue on the service. You can check online forums or communities for similar reports around the same time. You can use Capacity Metrics App to understand what is happening.
  https://learn.microsoft.com/en-us/fabric/data-warehouse/compute-capacity-smoothing-throttling
  
  

Hope this helps. Please let me know if you hve any further questions.