Forum Discussion
Mapping issue with Dataverse FetchXML column missing
Hi sushiat ,
Thnaks for using Microsoft Fabric Community,Unfortunately, this is a known limitation related to schema inference in Microsoft Fabric (and Azure Data Factory), which can be quite frustrating. The schema inference process typically inspects only a limited number of rows , and if those rows contain only NULL values for certain columns, they may not be included in the inferred schema.
Reference:
One workaround for this is:
Add a dummy row with non-NULL values for the missing columns. This ensures that these columns are detected during schema inference. Once the schema is imported and detected, you can remove the dummy row or filter it out.
Dummy row to detect NULL value Columns
If you've already attempted Explicit mappings and still faced issues, I recommend the dummy row workaround to get the column into the schema detection process.
We understand how cumbersome this issue can be, especially when dealing with dynamic or frequently changing data. Please consider creating an idea in the Fabric Ideas portal to request a more flexible schema detection feature that could handle columns with NULL values more gracefully. If it gets more votes then Microsoft may consider this to implement in future.Hope this helps. Please reach out for further assistance.
If this post helps, then please consider to Accept it as the solution to help the other members find it more quickly and a kudos would be appreciated.
Thank you.
Hi sushiat ,
Thnaks for using Microsoft Fabric Community,
Unfortunately, this is a known limitation related to schema inference in Microsoft Fabric (and Azure Data Factory), which can be quite frustrating. The schema inference process typically inspects only a limited number of rows , and if those rows contain only NULL values for certain columns, they may not be included in the inferred schema.
Reference:
One workaround for this is:
Add a dummy row with non-NULL values for the missing columns. This ensures that these columns are detected during schema inference. Once the schema is imported and detected, you can remove the dummy row or filter it out.
Dummy row to detect NULL value Columns
If you've already attempted Explicit mappings and still faced issues, I recommend the dummy row workaround to get the column into the schema detection process.
We understand how cumbersome this issue can be, especially when dealing with dynamic or frequently changing data. Please consider creating an idea in the Fabric Ideas portal to request a more flexible schema detection feature that could handle columns with NULL values more gracefully. If it gets more votes then Microsoft may consider this to implement in future.
Hope this helps. Please reach out for further assistance.
If this post helps, then please consider to Accept it as the solution to help the other members find it more quickly and a kudos would be appreciated.
Thank you.