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Hi everyone!
We're facing some issues with Power BI report refresh in Power BI Service. Each time after refresh (both manual and scheduled), we're receiving the following error: "COM error: mscorlib, A task was cancelled.. Table: <table_name>". A table name is different after each refresh.
Has anyone faced a similar issue and/or can provide a suggestion to resolve the problem?
Thank you in advance!
Solved! Go to Solution.
Hi @Kari551 ,
Have you checked on the suggested points like Timeout and Capacity Resources..?If not please have a look at them as it might help you to solve the issue.
Thank you.
Hi @Kari551 ,
May I ask if you have resolved this issue?If not can you let us know the status on the suggested points, so that it will be helpful for us to solve the issue.
Thank you.
Hi @Kari551 ,
Have you checked on the suggested points like Timeout and Capacity Resources..?If not please have a look at them as it might help you to solve the issue.
Thank you.
Hi @Kari551 ,
May I ask if you have resolved this issue? Please let us know if you have any further issues, we are happy to help.
Thank you.
Hi @Kari551 ,
I wanted to check if you had the opportunity to review the information provided and resolve the issue..?Please let us know if you need any further assistance.We are happy to help.
Thank you.
If you source system is SQL Server, then have a database administrator look at the SQL Server Error logs around the time the refresh failed. Look for 'timeout' in the text filter
Hi @Kari551 ,
Thank you for reaching out to Microsoft Fabric Community.
Thank you @Thomaslleblanc for the prompt response.
1.Source Data Timeout
Open your report in Power BI Desktop.
Use Performance Analyzer to check query duration.
If using a gateway, go to Power BI Service > Manage Gateways and review logs for timeouts.
2.Workspace/Capacity Resources
If you are on Premium or PPU, go to Power BI Service > Admin Portal > Capacity Settings.
Use the Capacity Metrics app to monitor memory, CPU, and refresh queues.
If you're on shared capacity, try refreshing during off-peak hours or reduce dataset complexity.
Thank you.
check the source data service to see if there are any timeout issues happening.
Or see if the resources availble in your workspace/capacity are maxed out
Thank you for your suggestion!
Could you please clarify where these options can be found?
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