Applies to Product - Power Apps
What’s happening?
Customers are experiencing errors related to exceeding the evaluation quota when running multiple dataflows, resulting in failed refreshes.
Customers are experiencing errors related to exceeding the evaluation quota when running multiple dataflows, resulting in failed refreshes.
Reason:
The evaluation quota for the user running the dataflows has been exceeded. This quota governs the number of resources (like CPU or memory) allocated for dataflows, and once the limit is reached, subsequent refreshes fail until the quota resets. The current dataflow refresh limit is set to 20.
The evaluation quota for the user running the dataflows has been exceeded. This quota governs the number of resources (like CPU or memory) allocated for dataflows, and once the limit is reached, subsequent refreshes fail until the quota resets. The current dataflow refresh limit is set to 20.
Resolution:
To increase the quota and ensure dataflows run without issues, consider the following steps:
- Upgrade to Premium Capacity or add capacity add-ons for Dataverse/Power BI.
- Optimize refresh schedules and use incremental refresh.
- Use a service principal for authentication to avoid user-based quota limits.
- Monitor resource usage using Power BI Metrics App or Power Platform Admin Center.
- Offload heavy processing to Azure Data Factory or another ETL tool.
- Schedule dataflows to prevent overlapping refreshes, which can lead to exceeding the concurrency evaluation limit.
To increase the quota and ensure dataflows run without issues, consider the following steps:
- Upgrade to Premium Capacity or add capacity add-ons for Dataverse/Power BI.
- Optimize refresh schedules and use incremental refresh.
- Use a service principal for authentication to avoid user-based quota limits.
- Monitor resource usage using Power BI Metrics App or Power Platform Admin Center.
- Offload heavy processing to Azure Data Factory or another ETL tool.
- Schedule dataflows to prevent overlapping refreshes, which can lead to exceeding the concurrency evaluation limit.