More Granular when pulling Semantic Models from Rest API
I am trying to pull all the tables inside my lakehouse using PowerBI's Rest API. Originally, I used: Reports - Get Reports In Group - REST API (Power BI Power BI REST APIs) | Microsoft Learn then created a loop to pull all datasources of reports using the datasetID: Datasets - Get Datasources - REST API (Power BI Power BI REST APIs) | Microsoft Learn However, I notice when it is a semantic model it just shows as a SQL and does not provide the tables. Additionally, It only pulls the sources of reports. I want all the data inside a workspace. Is there a way to the next granular level, so I may see if we are duplicating pulls of tables. Also, is there a way to tell if a table is a shortcut or another re-pull of the same datasource? I am going to test this pull: Admin - WorkspaceInfo GetScanResult - REST API (Power BI Power BI REST APIs) | Microsoft Learn to see if I can get tables.
Microsoft Fabric - Lakehouse Explorer Files
Hi Community, I"ve noticed that uploading a csv file in my case to the Lakehouse Explorer does not show the uploaded files in the expanded files section. I've refreshed multiple times and the file never shows up. However, you can still use it and reference the file in spark notebooks. Not sure if anyone else is experiencing this. Thanks