Loss of precision when using the sum() function in php?

[ORB30]

Hi all,

Does anyone know how to work arround this problem of sum function in php?

The below query is giving me wrong results

SELECT

SUM(((kinisis_1c + kinisis_1e + ((kinisis_1c / kinisis_1b) * kinisis_1a))/(1 + fpa)) * 1.005) AS kinisis_1_total,
SUM(((100c + 100e + ((100c / 100b)* 100a)) / (1 + fpa)) *1.005) AS 100ara_total,
SUM(((super_1c  + super_1e + ((super_1c / super_1b)* super_1a)) / (1 + fpa)) *1.005) AS super_1_total,
SUM(((95_1c + 95_1e + ((95_1c / 95_1b)* 95_1a)) / (1 + fpa)) *1.005) AS 95_1_total,
SUM(((95_2c + 95_2e + ((95_2c / 95_2b)*  95_2a)) / (1 + fpa)) *1.005) AS 95_2_total,
SUM(((super_2c + super_2e + ((super_2c / super_2b) * super_2a)) / (1 + fpa)) *1.005) AS super_2_total,
SUM(((kinisis_2c + kinisis_2e + ((kinisis_2c / kinisis_2b) * kinisis_2a)) / (1 + fpa)) *1.005) AS kinisis_2_total
 
FROM kiniseis
WHERE `date` BETWEEN '$_GET[date1]' AND '$_GET[date2]'

Between 2 dates given (57 records included) i have a loss of 315.04 between php , and the result calculated from excel adding up the values of each individual day (every day is a record).

I found that microsoft sql server has problem like that
http://support.microsoft.com/kb/281341
But the work around they suggest is not working in mysql-php i have tried that also making sum of a variable.

Does anyone know how to prevent this issue from happening?

[code green]

I suggest it is a rounding issue caused by the number of decimal places used by the two platforms.
This will be happening where you are multiplying and dividing more than likely.
For instance * 1.005 can only produce an answer to 3 decimals
A way round? CAST

[ORB30]

@code green
Hmmmm i searched about cast but i didnt figured out how to implement this function in my application.
Can you guide me , or to tell me what exactly cast will do in my case?

Thanks :)

[code green]

What calculations are you doing in PHP?.
You have only posted SQL.

You need to decide what precision you want.
If doing the calculations in SQL then I would CAST all INT and float values to DECIMAL if they are being used in a calculation and also CAST the result.

This way the desired precision will be maintained.
I don't know the precision in Excel but to get the same results you need the same precision.