MetricSign
EN|NLRequest Access
Medium severitydata source

Power BI Refresh Error:
UserErrorUnsupportedAttributeType

What does this error mean?

ADF encountered a Dynamics 365/Dataverse attribute type not supported for read or write. Certain complex attribute types cannot be directly copied via the ADF Dynamics connector.

Common causes

  • 1A column in the ADF dataset or copy activity mapping references a Dataverse attribute with a type not supported by ADF (e.g., file, image, multiselectpicklist in some versions)
  • 2A new Dataverse attribute type was introduced after the version of ADF being used was released

How to fix it

  1. 1Identify the unsupported attribute from the error message and exclude it from the copy activity column mapping.
  2. 2For image or file attributes, use the Dataverse API directly or a Power Automate flow to handle these types.
  3. 3Check the ADF Dynamics connector documentation for the current list of supported Dataverse attribute types.
  4. 4Upgrade the ADF integration runtime to the latest version to gain support for newer Dataverse attribute types.

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-dynamics-dataverse

Other data source errors