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Medium severitydata source

Power BI Refresh Error:
DynamicsInvalidSchemaDefinition

What does this error mean?

The schema in the ADF Dynamics dataset is invalid or does not match the current Dataverse entity schema.

Common causes

  • 1A column included in the dataset schema was removed or renamed in Dataverse since the dataset was configured
  • 2A required field in the dataset is no longer present in the Dataverse entity
  • 3The dataset was imported from another environment where the entity schema differs

How to fix it

  1. 1Open the ADF Dynamics dataset and click "Import schema" to refresh the schema from the live Dataverse environment.
  2. 2Review the refreshed schema and update the copy activity column mappings to reflect any changed or removed columns.
  3. 3Compare the dataset columns against the current Dataverse entity definition to identify discrepancies.

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

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