SQL SERVER – Get Answer in Float When Dividing of Two Integer

Many times we have requirements of some calculations amongst different fields in Tables. One of the software developers here was trying to calculate some fields having integer values and divide it which gave incorrect results in integer where accurate results including decimals was expected.

Something as follows,

Example,

USE [AdventureWorks]
GO
CREATE TABLE [dbo].ConvertExample(
[ID]        [int] NULL,
[Field1]    [int] NULL,
[Field2]    [int] NULL,
[Field3]    [int] NULL,
[Field4]    [int] NULL
)
GO
INSERT INTO [dbo].ConvertExample
VALUES (1,30,40,60,80)
GO
INSERT INTO [dbo].ConvertExample
VALUES (2,20,10,50,80)
GO
INSERT INTO [dbo].ConvertExample
VALUES (3,15,140,90,60)
GO
INSERT INTO [dbo].ConvertExample
VALUES (1,60,0,5,2)
GO
SELECT *
FROM [dbo].ConvertExample
GO
SELECT (SUM(Field1)+SUM(Field2)+SUM(Field3))/SUM(Field4)
AS AnswerInt
FROM [dbo].ConvertExample
GROUP BY ID
GO

SQL SERVER - Get Answer in Float When Dividing of Two Integer AnswerInt

However, We need to CAST or CONVERT the numerator to solve this or we can say that to get the results we wanted.

Example using CAST

SELECT CAST((SUM(Field1)+SUM(Field2)+SUM(Field3))AS FLOAT)/SUM(Field4) AS AnswerFloat1
FROM [dbo].ConvertExample
GROUP BY ID
GO

SQL SERVER - Get Answer in Float When Dividing of Two Integer Answerusingcast

Example Using CONVERT:

SELECT CONVERT(FLOAT,(SUM(Field1)+SUM(Field2)+SUM(Field3)))/SUM(Field4) AS AnswerFloat2
FROM [dbo].ConvertExample
GROUP BY ID
GO

SQL SERVER - Get Answer in Float When Dividing of Two Integer AnswerusingConvert

Conclusion

When we expect the results in floating or decimals then we need to convert or cast the numerator part to get the accurate results with FLOAT or DECIMAL Whichever needed.

Reference : Pinal Dave (https://blog.sqlauthority.com)

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18 Comments. Leave new

  • Nice post and something that is very much useful in the day-to-day programming life.

    Just wanted to add to what is already explained, that, SQL Server automatically does a cast to the data type having the highest precedence. So the result of INT and INT will be INT, but INT and FLOAT will be FLOAT because FLOAT has a higher precedence. If you want a different data type, you need to do an EXPLICIT cast.

    For example:

    SELECT 100/3 AS Result
    /*
    Result
    ———–
    33
    */

    SELECT 100/3.0 AS Result
    /*
    Result
    —————————————
    33.333333
    */

    The precedence of each data type is documented here: https://docs.microsoft.com/en-us/previous-versions/sql/sql-server-2005/ms190309(v=sql.90)

    Reply
  • Sometimes I get lazy and just do
    field = int column A / int column B * 1.0

    Then I *think* I get float back

    Reply
    • Certainly this produces a float, but the value depends on precedence of / & *, which is non-obvious to casual readers. I would specify A / (B * 1.0) or (A / B) * 1.0 or A * 1.0 / B. The first & third do what the original questioner wanted. The second does integer division and turns the answer into a float.

      Reply
    • Certainly it produces a float, but I don’t think the value is what the original post wanted. The integer divide has to happen first, and the result of that is converted to float. A / (B * 1.0) and A * 1.0 / B b both perform floating point division.

      > sqldf(“select 8 / 3 * 1.0”)
      8 / 3 * 1.0
      1 2

      Reply
  • Marek ÅšliwiÅ„ski
    September 28, 2008 3:09 pm

    Thanks guys, you make a nice duet together :)
    Very interesting about this precedence.

    Reply
  • This has caught me many times…
    Putting the 1.0 at the beginning of the line makes a difference:

    declare @a int,@b int,@c float
    set @a=1
    set @b=2

    select @a/@b – Result 0
    select @a/@b*1.0 – Result 0.0
    select 1.0*@a/@b – Result 0.500000

    Reply
  • Happy Web Designer
    December 11, 2009 1:08 pm

    Excellent,

    This one had me stumped.

    To get a percentage with decimal places

    100.0*@numerator/@denominator

    where both are INT and extract as float.

    Job done.

    Thank you.

    Reply
  • Nowfal majeed
    March 7, 2012 4:29 pm

    Thank You very much for this examples..I have tried i got answer..But one thing if i need 1.20 instead of 1.2089876 what i have to do?

    Reply
  • Jesse Anderson
    October 15, 2012 8:10 pm

    Thanks for the post Dave et al. I must say, after beginning my professional career as a developer, your blog has been a top reference of mine (along with MSDN of ciurse) when I need help solving a problem with SQL.

    Reply
  • Mahesh Chikhale
    February 2, 2013 5:04 pm

    hello sir my table is able to store the float value like 75.5 but if i am going to store like 125.00,50.00 etc it will store 125 , 50 not giving me decimal places
    what is the solution if i want to store the values with 00 in decimal places?

    Reply
  • thank you better than msdn

    Reply
  • Thank you so much for your post, i’m learning on MSSQL and have been searching how to sum multiple columns, divide it and get a result with required decimal point…your blog has again answered to my questions and I always got answers from your blog…good blog and best blog so far IMHO…

    A BIG THANK AGAIN.

    JM

    Reply
  • ashwani bhardwaj
    April 15, 2015 6:14 pm

    thanks so much.. because of your example my tool resolution has been done

    Reply
  • Hi,

    Thanks for the post, but the cast does not seem to work as it always should. Here’s my example of its weird behavior:

    create function [dbo].[F_1]()
    returns @result table
    (
    RateVacancy decimal
    )
    as
    begin

    insert into @result
    select
    convert(decimal, 20) / convert(decimal, 30 ) as RateVacancy
    return
    end
    go

    Now this query

    select * from dbo.F_1()

    returns 1 instead of expected 0.66666666. I wonder why cast to decimal doesn’t work in this case at all.

    Reply
  • I have a case where there are certain rows like A, B ,C. Now i have to see if there is B in the table then divide all the cols corresponding to B with C and display it in a seprate column . Is there a simple way to do that

    Reply
  • Found the solution just create a temp.table insert the data needed and then divide them to join the divided table to the original …

    Reply

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