Row-level security (RLS) in SQL Server allows you to control access to rows in a database table based on the characteristics of the user executing a query.
Here's a step-by-step guide on how to implement RLS:
1. Create the Main Table
Create a table to store the data.
CREATE TABLE Sales (
SaleID INT PRIMARY KEY,
SaleAmount DECIMAL(10, 2),
SalesPersonID INT,
SaleDate DATE
);
2. Create a Security Predicate Function
Create an inline table-valued function that returns a row if the user is authorized to view it.
CREATE FUNCTION dbo.SalesPersonFilter(@SalesPersonID INT)
RETURNS TABLE
WITH SCHEMABINDING
AS
RETURN SELECT 1 AS result
WHERE @SalesPersonID = CAST(SESSION_CONTEXT(N'SalesPersonID') AS INT);
3. Create a Security Policy
Create a security policy that binds the security predicate function to the table.
CREATE SECURITY POLICY SalesFilterPolicy
ADD FILTER PREDICATE dbo.SalesPersonFilter(SalesPersonID)
ON dbo.Sales
WITH (STATE = ON);
4. Set Up User Context
Use SESSION_CONTEXT to set the user context when a user logs in or a session starts. This should be done by your application or within your session.
-- Example of setting the session context for a SalesPerson with ID 1
EXEC sp_set_session_context @key = N'SalesPersonID', @value = 1;
5. Test the Implementation
Insert some sample data and test the row-level security.
-- Insert sample data
INSERT INTO Sales (SaleID, SaleAmount, SalesPersonID, SaleDate)
VALUES
(1, 100.00, 1, '2024-01-01'),
(2, 200.00, 2, '2024-01-02'),
(3, 300.00, 1, '2024-01-03');
-- Set session context for SalesPersonID 1
EXEC sp_set_session_context @key = N'SalesPersonID', @value = 1;
-- Test query as SalesPersonID 1
SELECT * FROM Sales;
Example Output:
SaleID
SaleAmount
SalesPersonID
SaleDate
1
100.0
1
2024-01-01
3
300.0
1
2024-01-03
In this example, the SalesPersonID 1 can only see their own sales data. Other sales data (e.g.,
SalesPersonID 2) are not visible.
Considerations
Ensure that the security policy and predicate function are created with
SCHEMABINDING.
The application must set them SESSION_CONTEXT correctly based on the authenticated user.
Review and test the security policies thoroughly to ensure they meet the security requirements.
Use database roles and permissions to further secure the implementation.
By implementing RLS, you can effectively control access to rows in a table, ensuring that users only see the data they're authorized to view.
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Row-level security (RLS) in SQL Server allows you to control access to rows in a database table based on the characteristics of the user executing a query.
Here's a step-by-step guide on how to implement RLS:
1. Create the Main Table
Create a table to store the data.
2. Create a Security Predicate Function
Create an inline table-valued function that returns a row if the user is authorized to view it.
3. Create a Security Policy
Create a security policy that binds the security predicate function to the table.
4. Set Up User Context
Use
SESSION_CONTEXTto set the user context when a user logs in or a session starts. This should be done by your application or within your session.5. Test the Implementation
Insert some sample data and test the row-level security.
Example Output:
In this example, the
SalesPersonID1 can only see their own sales data. Other sales data (e.g.,SalesPersonID2) are not visible.Considerations
SCHEMABINDING.SESSION_CONTEXTcorrectly based on the authenticated user.By implementing RLS, you can effectively control access to rows in a table, ensuring that users only see the data they're authorized to view.
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