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Power BI Refresh Error:
DataConsistencyValidationNotSupportedForNonDirectBinaryCopy

What does this error mean?

The data consistency validation feature is only available when copying files in binary format directly between storage accounts. It cannot be used when applying transformations or format conversions.

Common causes

  • 1Data consistency validation not supported for non-direct binary copy
  • 2Integration runtime configuration is incorrect or outdated
  • 3Authentication credentials or permissions are insufficient
  • 4The feature or setting is not supported for the selected connector or copy mode

How to fix it

  1. 1In the copy activity, go to the Settings tab, and turn off 'Enable data consistency validation' — this feature is only supported for direct binary copy (file-to-file without format conversion).
  2. 2If format conversion is needed (e.g., CSV to Parquet), data consistency validation cannot be used — disable the setting and implement a post-copy validation step using a separate Script or Lookup activity if needed.
  3. 3To qualify as direct binary copy, both source and sink must be file-based storage (Blob, ADLS, S3, etc.) and the dataset must use Binary format with no schema mapping in the copy activity.
  4. 4If binary copy with validation is the goal, change the source and sink datasets to Binary format and remove any column mappings from the copy activity.
  5. 5Validate the configuration change using the 'Validate' button in ADF Studio before re-running.

Frequently asked questions

Does this configuration error affect every pipeline run?

Yes — configuration errors are deterministic. Every run fails until fixed; retrying does not help.

How do I validate an ADF pipeline configuration before running it?

Click 'Validate' in the ADF authoring UI for configuration checks. For data flows, use Debug mode with a small sample to validate expressions and mappings.

Can dynamic content expressions in ADF cause configuration errors at runtime?

Yes — @activity(), @pipeline(), or @dataset() parameters that resolve to null or an unexpected type cause runtime failures even when design-time validation passes.

Do configuration errors appear in the ADF activity output?

Yes — the ADF Monitor activity detail shows the error code and the specific property that is invalid or missing.

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

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