Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hi,
I have a data ETL running into Azure SQL on a Fabric pipeline and dataflow gen2.
In the power query (dataflow gen2) i run a query against the SQL table for as below:
chk = Sql.Database("xxxx.database.windows.net", "DB Name", [Query="SELECT * FROM endpoints WHERE freq '1'"]),
I'm looking at migrating to the Fabric data warehouse and updating the dataflows to save to the data warehouse instead of SQL.
I can call the Fabric data warehouse table as a data source in the data flow with no problem:
tmp = Fabric.Warehouse([]){[workspaceId = "xxxxx"]}[Data]{[warehouseId = "xxxxxxx"]}[Data]{[Schema = "dbo", Item = "Endpoints"]}[Data]
but when i try run a select query against it like i can with the SQL data source:
tmp = Fabric.Warehouse([]){[workspaceId = "xxxxx"]}[Data]{[warehouseId = "xxxxxxx"]}[Data]{[Schema = "dbo", Item = "Endpoints"]}[Data]{[Query="SELECT * from endpoints where freq = '1'"]},
it returns the error below
Expression.Error: The key didn't match any rows in the table.
Details
Reason = Expression.Error
Key = [Query = "SELECT * from Endpoints where freq = '1'"]
Is it possible to run a select against the Fabric datawarehouse in power query as i can with sql? If so then what is the required syntax to do this.
Thanks in advance
Solved! Go to Solution.
found it - just need to use the SQL connection string and not the data warehouse connector.
found it - just need to use the SQL connection string and not the data warehouse connector.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Experience the highlights from FabCon & SQLCon, available live and on-demand starting April 14th.
| User | Count |
|---|---|
| 5 | |
| 3 | |
| 3 | |
| 3 | |
| 2 |
| User | Count |
|---|---|
| 7 | |
| 5 | |
| 5 | |
| 5 | |
| 4 |