Forum Discussion

priyankakande's avatar
priyankakande
Regular Visitor
29 days ago
Solved

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 BI Service, and I'm encountering the error shown below.

To troubleshoot, I have:

  • Applied Incremental Refresh.

  • Removed Incremental Refresh and tried a full refresh.

  • Restricted the data to the last 1 year.

Despite these changes, the refresh is still failing.

Any suggestions or help in resolving this issue would be greatly appreciated.

Thank you!

  • 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.

     

3 Replies

  • v-kathullac's avatar
    v-kathullac
    Community Support

    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's avatar
    v-kathullac
    Community Support

    Hi priyankakande ,

    Thank you for reaching out to Microsoft Fabric Community Forum,

     

    As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?

     

    Regards,

    Chaithanya

  • v-kathullac's avatar
    v-kathullac
    Community Support

    Hi @priyankakande ,

    Thank you for reaching out to Microsoft Fabric Community Forum,

     

    As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?

     

    Regards,

    Chaithanya