-
Create a Table-Valued Function (TVF):
- Instead of using a scalar function (which returns a single value), you’ll create a TVF that returns a table.
- Define the TVF to return the desired columns and rows based on your logic.
-
Use the TVF in Your Query:
- Once the TVF is defined, you can use it in your query just like any other table.
- The TVF will act as a virtual table, allowing you to join, filter, and select data from it.
Here’s an example of how you can modify your code to achieve this:
CREATE OR ALTER FUNCTION dbo.test_func()
RETURNS @Result TABLE (
table_name NVARCHAR(255)
)
AS
BEGIN
INSERT INTO @Result (table_name)
VALUES ('table_name');
RETURN;
END;
SELECT *
FROM dbo.test_func();
Explanation:
- The
@Result
table variable within the TVF holds the data you want to return.
- Modify the TVF logic inside the
INSERT INTO @Result
statement to fetch the actual data you need from your Databricks function.
- The final
SELECT * FROM dbo.test_func();
retrieves the data from the TVF.
Remember to replace 'table_name'
with your actual data retrieval logic in the TVF.
Once you’ve defined the TVF, you can use it in your queries just like any other table123.
Feel free to adapt this example to your specific use case, and adjust the TVF columns and logic accordingly. Happy querying! 🚀