Power BI Report Refresh Issues

[Imagauthamam]

I have a doubt in the way the Power BI Report refreshes.
Let's consider, we have a Power BI Report which is hosted in Power BI Service.

Consider, the report has 10 tables and 1 of them has an issue.

Now, the whole report undergoes failure.

I'm just wondering if the other 9 tables doesn't have any issue, why cannot they get refreshed.
Why was Power BI designed in this way?

Because lot of time we might encounter Database issues and we will be working on the issue for 1 table and we might expect other tables to get refreshed.
Now we have to the desktop report and we have to disable Include report refresh option and publish again.
If we disable load then visuals gets broken.
Sometimes disabling report refresh option also might not work because if we click on close and apply it will try to load the table again and in the process gets errored out.
It's frustrating sometimes.

Please let me know if there is any solutions for this

[bhanu_gautam · Accepted solution]

@Imagauthamam Power BI's current design for refreshing datasets is such that if any table within the dataset encounters an issue during the refresh process, the entire refresh operation fails. This is because Power BI treats the dataset as a single entity, and any failure in one part of the dataset is considered a failure for the entire refresh operation. 

there are a few strategies you can consider to mitigate this issue

Incremental Refresh: If your dataset supports incremental refresh, you can configure it to only refresh the data that has changed. This can reduce the likelihood of encountering issues during the refresh process.

Partitioning: If possible, partition your data so that only specific partitions are refreshed. This can help isolate issues to specific partitions rather than affecting the entire dataset.

Separate Datasets: Consider splitting your dataset into multiple smaller datasets. This way, if one dataset encounters an issue, it won't affect the others.

Error Handling in Queries: Implement error handling within your Power Query transformations to handle potential issues gracefully. For example, you can use try...otherwise statements to handle errors and provide default values or alternative logic.

Monitoring and Alerts: Set up monitoring and alerts for your dataset refreshes. This way, you can be immediately notified of any issues and take corrective action promptly.

[v-dineshya · Accepted solution]

Hi @Imagauthamam ,

Thank you for reaching out to the Microsoft Fabric Community forum.

If you encounter refresh issues, here are some steps to troubleshoot:

1. Verify Gateway Version: Ensure the gateway version is up to date.
2. Check Gateway Selection: Verify the report has a gateway selected. If there's no gateway selected, the data source might have changed or might be missing.
3. Review Data Source: Confirm that the data source is supported for refresh and that the connection settings are correct.
4. Inspect Queries: Look for any custom functions, complex joins, or transformations that might behave differently in the service.
5. Refresh Settings: Check the refresh schedule and error settings. Try triggering an on-demand refresh from the service and monitor if the error reappears.
6. Permissions: Double-check that the service principal or user credentials used by the gateway have the correct access to the data source.
7. Error Logging: Check the refresh history for detailed logs and the gateway logs on the server where the gateway is installed for more insights.

Can you please refer Microsoft official documents.

Troubleshoot refresh scenarios - Power BI | Microsoft Learn

Data refresh in Power BI - Power BI | Microsoft Learn

I trust this information proves useful. If it does, kindly “Accept as solution” and give it a 'Kudos' to help others locate it easily.
Thank you.

[v-dineshya]

Hi @Imagauthamam ,

If you find this post helpful, please mark it as an "Accept as Solution" and consider giving a KUDOS. Feel free to reach out if you need further assistance.
Thanks and Regards

[v-dineshya]

Hi @Imagauthamam ,

If you find this post helpful, please mark it as an "Accept as Solution" and consider giving a KUDOS. Feel free to reach out if you need further assistance.
Thanks and Regards

[v-dineshya]

Hi @Imagauthamam ,

If you find this post helpful, please mark it as an "Accept as Solution" and consider giving a KUDOS. Feel free to reach out if you need further assistance.
Thanks and Regards

[bhanu_gautam · Accepted solution]

@Imagauthamam Power BI's current design for refreshing datasets is such that if any table within the dataset encounters an issue during the refresh process, the entire refresh operation fails. This is because Power BI treats the dataset as a single entity, and any failure in one part of the dataset is considered a failure for the entire refresh operation. 

there are a few strategies you can consider to mitigate this issue

Incremental Refresh: If your dataset supports incremental refresh, you can configure it to only refresh the data that has changed. This can reduce the likelihood of encountering issues during the refresh process.

Partitioning: If possible, partition your data so that only specific partitions are refreshed. This can help isolate issues to specific partitions rather than affecting the entire dataset.

Separate Datasets: Consider splitting your dataset into multiple smaller datasets. This way, if one dataset encounters an issue, it won't affect the others.

Error Handling in Queries: Implement error handling within your Power Query transformations to handle potential issues gracefully. For example, you can use try...otherwise statements to handle errors and provide default values or alternative logic.

Monitoring and Alerts: Set up monitoring and alerts for your dataset refreshes. This way, you can be immediately notified of any issues and take corrective action promptly.