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How do you handle error handling in stored procedures?

Parthiban Kannan
Updated on December 2, 2025

1 min read

When it comes to error handling in stored procedures, my focus is on ensuring that any unexpected issues are caught, logged, and handled gracefully without corrupting data or leaving transactions incomplete. The goal is to maintain data integrity and provide meaningful feedback to the calling process.

In SQL Server, I primarily use the TRY...CATCH block structure for error handling. Inside the TRY block, I place the main business logic, and if any error occurs, control is automatically passed to the CATCH block where I can log the error or roll back the transaction. For example:

🗃️
filename.sql 
CREATE PROCEDURE ProcessOrder
AS
BEGIN
    BEGIN TRY
        BEGIN TRANSACTION;

        -- Business logic
        INSERT INTO Orders (OrderID, CustomerID, Amount)
        VALUES (1001, 12, 2500);

        UPDATE Inventory
        SET Stock = Stock - 1
        WHERE ProductID = 5;

        COMMIT TRANSACTION;
    END TRY
    BEGIN CATCH
        IF @@TRANCOUNT > 0
            ROLLBACK TRANSACTION;

        INSERT INTO ErrorLog (ErrorNumber, ErrorMessage, ErrorLine, ErrorProcedure, ErrorTime)
        VALUES (ERROR_NUMBER(), ERROR_MESSAGE(), ERROR_LINE(), ERROR_PROCEDURE(), GETDATE());
    END CATCH
END;

This pattern ensures that if an error occurs anywhere inside the transaction, the system rolls back all partial changes, preventing inconsistent states. I also log the error details to an ErrorLog table, which helps in post-incident analysis and debugging.

In one of my projects involving order processing, I used this exact approach to catch issues like foreign key violations or data type mismatches during batch inserts. Without proper error handling, such failures could have left some orders processed while others failed. By wrapping everything in a transaction and using TRY...CATCH, I ensured atomicity — either all rows succeeded or none did.

A common challenge I’ve faced is when nested stored procedures also include transactions. For example, a parent procedure calling a child procedure that fails can lead to “transaction count mismatch” errors. To handle that, I consistently check @@TRANCOUNT and manage rollback logic only at the top-level procedure. Another approach is to use a standard error-handling template across all procedures to keep behavior consistent.

Another best practice I follow is returning standardized error codes or messages back to the calling application rather than raw SQL errors. For instance, returning something like -1 for business logic errors or -2 for system-level failures helps the application decide how to respond.

In some cases, especially when using database-linked services or APIs, I use RAISERROR or the newer THROW statement to re-raise the error with custom messages and severities for better tracking:

🗃️
filename.sql 
THROW 50001, 'Order processing failed due to invalid inventory state.', 1;

The limitation with SQL error handling is that it doesn’t catch compile-time errors or batch-level issues (like missing tables). It only handles runtime errors, so testing and validation still play a big role.

As an alternative, in complex ETL or multi-step systems, I sometimes delegate error handling to a control layer (like SSIS or application logic) while still logging detailed exceptions at the database level.

So overall, my approach is structured — wrap logic in TRY...CATCH, use transactions for atomicity, log all critical details, handle nested procedures carefully, and provide meaningful return codes. This makes stored procedures more reliable, maintainable, and resilient in production.

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