Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
How to get data from a SQL-server by using stored procedures with parameters in a Direct Query connection?
Facing Error (Microsoft SQL: Incorrect syntax near the keyword 'EXEC')
I've tried using Power Query's advanced editor and creating new parameters still facing the same error, but I'm wondering if there are any other methods I could try.
Solved! Go to Solution.
CREATE VIEW MyView AS
SELECT * FROM MyTable WHERE Column1 = 'Value1';
or use Query Folding by adding extra steps in using M Language
#"Filtered Rows" = Table.SelectRows(Sales, each [SaleDate] >= #date(2023, 1, 1) and [SaleDate] <= #date(2023, 12, 31))
Proud to be a Super User!
CREATE VIEW MyView AS
SELECT * FROM MyTable WHERE Column1 = 'Value1';
or use Query Folding by adding extra steps in using M Language
#"Filtered Rows" = Table.SelectRows(Sales, each [SaleDate] >= #date(2023, 1, 1) and [SaleDate] <= #date(2023, 12, 31))
Proud to be a Super User!
@SagarB Oh! I missed that , DirectQuery mode in Power BI does not support the execution of stored procedures directly. Instead, create a view or a table-valued function in the database and query this object in Power BI
Proud to be a Super User!
@VijayP "I reviewed the thread you mentioned, and it clearly states that this solution will only work for Import Mode. However, I am using Direct Query mode."
Please use this thread - https://community.fabric.microsoft.com/t5/Power-Query/Microsoft-SQL-Incorrect-syntax-near-the-keywor...
Proud to be a Super User!
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
57 | |
55 | |
55 | |
37 | |
30 |
User | Count |
---|---|
78 | |
66 | |
45 | |
44 | |
40 |