SQL Server 2019: How to implement 'Arithmetic overflow scenarios converting expression to data type numeric' in complex calculations
I've looked through the documentation and I'm still confused about I'm working with an 'Arithmetic overflow behavior converting expression to data type numeric' while executing a stored procedure in SQL Server 2019 that involves multiple calculations on numeric fields. The specific operation causing the scenario involves aggregating values that can be quite large. Here's a simplified version of the query I'm using: ```sql CREATE PROCEDURE CalculateTotals AS BEGIN DECLARE @TotalAmount NUMERIC(18, 2); SET @TotalAmount = (SELECT SUM(Amount) FROM Transactions); SELECT @TotalAmount AS Total; END; ``` The `Amount` column in the `Transactions` table is defined as `DECIMAL(18, 4)`, which should allow for sufficient precision. However, if the total sum exceeds the maximum value for `NUMERIC(18, 2)` (which is 99,999,999,999.99), I run into this overflow behavior. To troubleshoot, I've tried casting the result of the SUM to a higher precision and scale, like so: ```sql SET @TotalAmount = (SELECT SUM(CAST(Amount AS NUMERIC(38, 10))) FROM Transactions); ``` But I'm still getting the same behavior. I also checked for any potential NULL values that might affect the calculation, and I’ve confirmed that all records have valid amounts. I've looked into using `TRY_CAST`, thinking it might help, but I'm worried about losing the precision during conversion. Is there a way to ensure that my calculations can handle larger sums without running into this overflow behavior? What strategies can I employ to manage this better, especially if my data volume continues to grow? I'm working on a CLI tool that needs to handle this. Any ideas what could be causing this?