Hi @RonaldBalza-943 ,
Thanks for posting in Microsoft Fabric Community.
When building an application to update a Lakehouse Delta table using a Service Principal, it’s important to note that Microsoft Fabric does not currently support direct insert, update, or delete operations on Delta tables through REST APIs.
A supported method is to first upload data files such as CSV or Parquet into the Lakehouse Files section. After that, the Load to Tables API can be used to ingest the data into a Delta table. This is an asynchronous operation, and the load status can be tracked via the operation ID returned.
Another approach is to trigger a Spark notebook using the Notebook Public API. The notebook can perform necessary transformations using PySpark and write the results to the Delta table using standard Spark operations such as merge, overwrite, or append modes.
Ensure that the Service Principal has the Contributor role at the workspace level and sufficient permissions on the Lakehouse and its schemas.
For a broader overview of managing Lakehouse assets via API, refer to Managing Lakehouse using Fabric APIs.
The following threads may be helpful:
Hope this helps. Please reach out for further assistance.
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Thank you.
