What causes SkipInvalidFileNameNotSupportedForSink?

Skip invalid filename not supported for this sink. Integration runtime configuration is incorrect or outdated. Authentication credentials or permissions are insufficient. The feature or setting is not supported for the selected connector or copy mode

How do I fix SkipInvalidFileNameNotSupportedForSink?

Disable the 'Skip invalid file names' option in the copy activity Settings tab — the sink connector does not support this setting.. Verify file names being written use only valid characters for the destination file system — invalid names come from dynamic path expressions in the sink dataset.. If the sink file name is derived from source data, sanitize it using a string replace expression to remove invalid characters.. Switch to a file-based sink (Azure Blob Storage, ADLS Gen2) if this setting is required.. Validate the pipeline after removing the incompatible setting.

Medium severityconfiguration

Power BI Refresh Error:
SkipInvalidFileNameNotSupportedForSink

What does this error mean?

The sink connector does not support the fault tolerance option to skip files with invalid names. Remove this setting or use a supported sink connector.

Common causes

1Skip invalid filename not supported for this sink
2Integration runtime configuration is incorrect or outdated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

1Disable the 'Skip invalid file names' option in the copy activity Settings tab — the sink connector does not support this setting.
2Verify file names being written use only valid characters for the destination file system — invalid names come from dynamic path expressions in the sink dataset.
3If the sink file name is derived from source data, sanitize it using a string replace expression to remove invalid characters.
4Switch to a file-based sink (Azure Blob Storage, ADLS Gen2) if this setting is required.
5Validate the pipeline after removing the incompatible setting.

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