MetricSign
EN|NLRequest Access
Medium severitydata source

Power BI Refresh Error:
UserErrorFileNameContainerNotFound

What does this error mean?

ADF cannot find the specified container or blob path. The container name is incorrect or was deleted.

Common causes

  • 1The container or file system name in the ADF dataset is incorrect or contains a typo
  • 2The storage container was deleted or renamed after the dataset was created
  • 3The linked service points to the wrong storage account
  • 4The container name contains uppercase letters (Azure Blob container names must be lowercase)

How to fix it

  1. 1Verify the container name in the ADF dataset matches the actual name in the storage account.
  2. 2Azure Blob container names must be lowercase — check for uppercase letters.
  3. 3Confirm the linked service points to the correct storage account.
  4. 4If the container was deleted, recreate it or update the ADF dataset to point to the new container.
  5. 5Use the 'Browse' button in the ADF dataset editor to confirm the correct container path.

Frequently asked questions

Does this error affect all pipeline runs or just the current one?

Depends on the root cause. A persistent misconfiguration fails every run; a transient issue may resolve on retry. Check the run history.

Can this error appear in Azure Data Factory and Microsoft Fabric pipelines?

Yes — the same connector errors appear in both ADF and Fabric Data Factory pipelines.

How do I see the full error detail for an ADF pipeline failure?

In ADF Monitor, click the failed run, then the failed activity. The detail pane shows the error code, message, and sub-error codes.

Will downstream Power BI datasets be affected when an ADF pipeline fails?

Yes — a dataset refreshing after the pipeline will use stale data or fail if the target table was cleared. The Power BI refresh may succeed while serving wrong data.

Official documentation: https://learn.microsoft.com/en-us/azure/data-factory/connector-troubleshoot-azure-blob-storage

Other data source errors