Tuesday, June 24, 2008

SQL Tips: Calculating Mathematical Values in SQL Server

Problem
In our application we have the need to perform mathematical calculations. Right now we are doing so in our front end application. Unfortunately we are starting to experience performance problems with large data sets and differences in calculations due to developers using different logic. We are seeking some other options to perform the calculations. Does SQL Server perform basic mathematical calculations?

Solution
Yes - SQL Server can perform basic addition, subtraction, multiplication and division. So if you need some of those basic building blocks those are available and we will walk through some examples in this tip. In addition, SQL Server can calculate SUM, COUNT, AVG, etc. For these type of calculations, check out SQL Server T-SQL Aggregate Functions. To address the multiple code issues, I would recommend researching stored procedures. This tip Getting started with SQL Server stored procedures is probably a good place to start.

In this tip, let's focus on some basic building blocks to perform your calculations with the T-SQL language. Here are the examples we will cover:

  • Calculations on Values
  • Calculations on Parameters
  • Calculations on Columns
  • Calculations in Computed Columns

Calculations on Values

As a starting point, values themselves can have mathematical operations performed on them. So in the code below we are performing addition (+), subtraction (-), multiplication (*), division (/) and a combination of operations. In these examples, both positive and negative whole numbers and decimals are used. The value calculated by the statement is below the code to serve as a point of reference. Review and copy the code into a SQL Server 2005 Management Studio window to get a feel for these calculations. Certainly this list is not comprehensive, so feel free to test some operations in your applications or from your experiences.

Calculations on Values
-- Example 1 - Addition (+)

SELECT 1 + 1
-- = 2

SELECT 1 + 2 + 3 + 4 + 99 + 704
-- = 813

SELECT 1.5 + 1.5
-- = 3.0

SELECT .25678 + .00096356
-- = 0.25774356

SELECT 1.75 + -2.25
-- = -0.50

-- Example 2 - Subtraction (-)

SELECT 1 - 1
-- = 0

SELECT 918 - 704
-- = 214

SELECT 3.2 - 1.9
-- = 1.3

SELECT 1.9 - 3.2
-- = -1.3

SELECT 9 - 3 - 3
-- = 3

SELECT .75 - .68
-- = 0.07

-- Example 3 - Multiplication (*)

SELECT 1 * 1
-- = 1

SELECT 2 * -4
-- = -8

SELECT 2 * 5 * 10
-- = 100

SELECT 1.25 * 3
-- = 3.75

SELECT .4 * .5
-- = .20

-- Example 4 - Division (/)

SELECT 1/2
-- = 0

SELECT 1.0/2.0
-- = 0.500000

SELECT 0/5
-- = 0

SELECT 100/12
-- = 8

SELECT 100.0/12.0
-- = 8.333333

SELECT -75.0/4.5
-- = -16.666666

SELECT .5/.1
-- = 5.000000

-- Example 5 - Combination

SELECT ((100 + 100) * .05)
-- = 10.00

SELECT (10 - 5)/2
-- = 2

SELECT (10.0 - 5.0)/2.0
-- = 2.500000

SELECT ((100 + 100) - (50 + 50))
-- = 100

Calculations on Parameters

Since we have covered the bulk of the calculations in the section above let's just focus on a few different operations to show how parameters with specific data types play an important role. Since this set of examples are not comprehensive, feel free to copy the code below into a SQL Server 2005 Management Studio window and test the code with some of your own logic.

Calculations on Parameters

-- Variable declaration
DECLARE
@i1 int
DECLARE
@i2 int
DECLARE
@i3 int
DECLARE
@d1 decimal(10,2)
DECLARE
@d2 decimal(10,2)
DECLARE
@d3 decimal(10,2
)

-- Initialize variables
SET
@i1 = 100
SET
@i2 = 75
SET
@i3 = 50
SET
@d1 = 1.5
SET
@d2 = 5.5
SET
@d3 =
.575

-- Example 1 - Addition (+)
SELECT
@i1 + @i2 + @i3 + @d1 + @d2 + @d3
-- = 232.58

SELECT @d2 + -@d3
-- = 4.92

-- Example 2 - Subtraction (-)
SELECT
@i2 - @i3
-- = 25

SELECT @d2 - @d3
-- = 4.92

-- Example 3 - Multiplication (*)
SELECT
@i2 * @i3
-- = 3750

SELECT @d2 * @d3
-- = 3.1900

-- Example 4 - Division (/)
SELECT
@i2 / @i3
-- = 1

SELECT @d2 / @d3
-- = 9.4827586206896

-- Example 5 - Combination
SELECT
((@i1 + @i2) * @d2)
-- = 962.50

SELECT ((@i1 + @i2) - (@d1 + @d2))
-- = 168.00

Calculations on Columns

Another option is to calculate the values based on a SELECT statement as the example below shows. If the data is in 1 or more columns, this approach eliminates the need to calculate the values based on additional parameters or logic.

Calculations on Columns

-- Sample Table
CREATE
TABLE dbo.CalculationExample(
ProductID int NOT NULL,
Cost decimal(10,2) NOT NULL)
GO

-- Populate Table
INSERT INTO dbo.CalculationExample (ProductID, Cost)
SELECT 1, 100.00
UNION
SELECT
2, 50.00
UNION
SELECT 3, 25.00
GO

-- Verify Insertion
SELECT *
FROM dbo.CalculationExample
GO

-- Declare Variables
DECLARE @MarginPercent decimal(10, 2)
DECLARE @TaxPercent decimal(10, 2)

-- Initialize Variables
SET @MarginPercent = .20
SET
@TaxPercent = .05

-- Calculate Values
SELECT
ProductID,
Cost
,
Cost
* @MarginPercent AS 'Margin',
Cost
* @TaxPercent AS 'Tax',
Cost
+ (Cost * @MarginPercent) + (Cost * @TaxPercent) AS 'FinalCost'
FROM
dbo.CalculationExample
GO

Calculations in Computed Columns

Let's take those same calculations and now move them to computed columns in the table. Here is that example:

Calculations in Computed Columns

CREATE TABLE [dbo].[CalculationExample_ComputedColumns](
[ProductID] [int]
NOT NULL,
[Cost] [decimal]
(18, 0) NOT NULL,
[Tax]
AS ([Cost]*(0.05)),
[Margin]
AS ([Cost]*(0.20)),
[FinalCost]
AS (([Cost]+[Cost]*(0.20))+[Cost]*(0.05)),
CONSTRAINT [PK_CalculationExample_ComputedColumns] PRIMARY KEY CLUSTERED
(

[ProductID]
ASC
)
WITH (PAD_INDEX = OFF, IGNORE_DUP_KEY = OFF) ON [PRIMARY]
)
ON [PRIMARY]

-- Populate Table
INSERT INTO dbo.CalculationExample_ComputedColumns (ProductID, Cost)
SELECT 1, 100.00
UNION
SELECT
2, 50.00
UNION
SELECT 3, 25.00
GO

-- Review the values
SELECT *
FROM
dbo.
CalculationExample_ComputedColumns
GO


Saturday, June 07, 2008

BMW GINA Light Visionary Photos

amazing, autoworld, bmw, car, cool-stufff, crazy, gadget, geometry-and-functions-n-adaptations, gina, light-visionary, modern-car, photos, skin, stuff The BMW GINA (Geometry and Functions in ‘N’ Adaptations) Light Visionary concept is BMW’s future-focused design study on the possibilities offered by flexible coverings. Based on a 2-seater roadster platform, GINA’s revolutionary exterior has allowed its designers to do away with the traditional body panel approach, concentrating on visual and structural lines rather than full body pieces. Check out more photos >> Cool Stuff: BMW GINA (Geometry and Functions in ‘N’ Adaptations) Light Visionary Photos

8 Ways to Detox and Cleanse Your Liver Naturally

Your liver is a remarkable organ that plays a vital role in keeping your body healthy. It's responsible for metabolizing nutrients, filt...