SQL Server : Arithmetic overflow error converting expression to data type int

Question

I\'m getting this error

msg 8115, level 16, state 2, line 18
Arithmetic overflow error converting expression to data type int.

Answer 1

Very simple:

Use COUNT_BIG(*) AS NumStreams

Answer 2

Is the problem with SUM(billableDuration)? To find out, try commenting out that line and see if it works.

It could be that the sum is exceeding the maximum int. If so, try replacing it with SUM(CAST(billableDuration AS BIGINT)).

Answer 3

SELECT                          
    DATEPART(YEAR, dateTimeStamp) AS [Year]                         
    , DATEPART(MONTH, dateTimeStamp) AS [Month]                         
    , COUNT(*) AS NumStreams                        
    , [platform] AS [Platform]                      
    , deliverableName AS [Deliverable Name]                     
    , SUM(billableDuration) AS NumSecondsDelivered

Assuming that your quoted text is the exact text, one of these columns can't do the mathematical calculations that you want. Double click on the error and it will highlight the line that's causing the problems (if it's different than what's posted, it may not be up there); I tested your code with the variables and there was no problem, meaning that one of these columns (which we don't know more specific information about) is creating this error.

One of your expressions needs to be casted/converted to an int in order for this to go through, which is the meaning of Arithmetic overflow error converting expression to data type int.

Answer 4

Change SUM(billableDuration) AS NumSecondsDelivered to

sum(cast(billableDuration as bigint)) or

sum(cast(billableDuration as numeric(12, 0))) according to your need.

The resultant type of of Sum expression is the same as the data type used. It throws error at time of overflow. So casting the column to larger capacity data type and then using Sum operation works fine.

Answer 5

On my side, this error came from the data type "INT' in the Null values column. The error is resolved by just changing the data a type to varchar.

Answer 6

declare @d real
set @d=1.0;
select @d*40000*(192+2)*20000+150000