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SQL Server 2019: How to implement 'Arithmetic overflow scenarios converting expression to data type numeric' in complex calculations

👀 Views: 1664 💬 Answers: 1 📅 Created: 2025-06-12
sql-server stored-procedures arithmetic-overflow SQL

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?