Forum Discussion
priyankakande
1 month agoRegular Visitor
Refresh failure in Power Bi service/Desktop
Hi Team, One of my Power BI dashboards contains a large volume of data (approximately 1–2 GB) having pro account. I'm currently unable to refresh the dataset in both Power BI Desktop and the Power B...
- 1 month ago
Hi priyankakande ,
Thank you for reaching out to Microsoft Fabric Community Forum, Below are the few debug steps which can resolve your issue.
- The 17,999-second timeout indicates that the refresh is taking too long at the data source/query level Since the refresh fails in both Power BI Desktop and Power BI Service, first investigate the source query performance and Power Query transformations.
- Check Query Folding and ensure that the date filter is pushed back to the source system.
- Apply the date filter as early as possible in Power Query, before expensive transformations.
- Test the refresh with a small date range, such as one month, and gradually increase it to identify whether the issue is related to data volume.
- Run the source query directly against the database and check how long it takes to complete.
- Optimize the source query by Removing unnecessary joins and columns, Adding appropriate indexes to filter/join columns where applicable, Moving complex transformations to the source database where possible.
- Reduce the Power BI model size by removing unused columns/tables and unnecessary high-cardinality fields.
- For Incremental Refresh, verify that RangeStart and RangeEnd are correctly configured and that query folding is maintained.
- Keep in mind that the initial refresh after publishing an Incremental Refresh model may still take significant time because historical data must be loaded according to the policy.
- If using an On-premises Data Gateway, verify gateway health, version, CPU/memory availability, and network connectivity.
- After optimizing the source and confirming query folding, test with a small data range, then configure Incremental Refresh and perform a fresh Service refresh.
Thanks,
Chaithanya.
v-kathullac
Community Support
1 month agoHi priyankakande ,
Thank you for reaching out to Microsoft Fabric Community Forum, Below are the few debug steps which can resolve your issue.
- The 17,999-second timeout indicates that the refresh is taking too long at the data source/query level Since the refresh fails in both Power BI Desktop and Power BI Service, first investigate the source query performance and Power Query transformations.
- Check Query Folding and ensure that the date filter is pushed back to the source system.
- Apply the date filter as early as possible in Power Query, before expensive transformations.
- Test the refresh with a small date range, such as one month, and gradually increase it to identify whether the issue is related to data volume.
- Run the source query directly against the database and check how long it takes to complete.
- Optimize the source query by Removing unnecessary joins and columns, Adding appropriate indexes to filter/join columns where applicable, Moving complex transformations to the source database where possible.
- Reduce the Power BI model size by removing unused columns/tables and unnecessary high-cardinality fields.
- For Incremental Refresh, verify that RangeStart and RangeEnd are correctly configured and that query folding is maintained.
- Keep in mind that the initial refresh after publishing an Incremental Refresh model may still take significant time because historical data must be loaded according to the policy.
- If using an On-premises Data Gateway, verify gateway health, version, CPU/memory availability, and network connectivity.
- After optimizing the source and confirming query folding, test with a small data range, then configure Incremental Refresh and perform a fresh Service refresh.
Thanks,
Chaithanya.