Tutorials
Practical T-SQL
Practical T-SQL
  • Practical T-SQL Pocket Guide For Beginners
  • Preface
    • Section I. A Note From The Author
    • Section II. Tutorial Overview
    • Section III. Running The Examples
    • Section IV. How To Report An Issue
    • Section V. Join The MSU Community On Discord
    • Section VI. Supplementary Material
  • Language Basics
    • Lesson 1. Obligatory Hello World
    • Lesson 2. Code Comments With T-SQL
    • Lesson 3. Basic Syntax
    • Lesson 4. Your First Query
    • Lesson 5. Filtering Data
    • Lesson 6. Sorting Data
    • Lesson 7. Complex Data Filtering
    • Lesson 8. Aliases
    • Lesson 9. String Functions
    • Lesson 10. Creating New Columns From Existing Data (Calculated Fields)
    • Lesson 11. Displaying Data Based On Conditions (Case Statement)
    • Lesson 12. Aggregate Functions
    • Lesson 13. Grouping And Summarizing Data
    • Lesson 14. Querying More Than One Table
    • Lesson 15. Combining Queries
    • Lesson 16. Subqueries
    • Lesson 17. Creating Data
    • Lesson 18. Updating Data
    • Lesson 19. Deleting Data
    • Lesson 20. Common Table Expressions (CTEs)
    • Lesson 21. Derived Tables
    • Lesson 22. Putting It All Together
  • Advanced Topics
    • Lesson 23. Selecting Unique Values
    • Lesson 24. Updating Data With A Join
    • Lesson 25. Data Types
    • Lesson 26. Casting Data Types
    • Lesson 27. Creating Tables
    • Lesson 28. Altering Tables
    • Lesson 29. Dropping Tables
    • Lesson 30. Variables
    • Lesson 31. Controlling Flow
    • Lesson 32. Looping
    • Lesson 33. Error Processing
    • Lesson 34. Temporary Tables
    • Lesson 35. Views
    • Lesson 36. Indexed Views
    • Lesson 37. User Defined Functions
    • Lesson 38. Stored Procedures
    • Lesson 39. BULK INSERT
    • Lesson 40. Loading Tables With MERGE
    • Lesson 41. Partitioning A Dataset
    • Lesson 42. Pivoting Data
    • Lesson 43. Dynamic SQL
    • Lesson 44. Cursors
  • Solutions To Real World Problems
    • Lesson 45. Listing All Tables In A SQL Server Database
    • Lesson 46. Listing All Columns In A SQL Server Database
    • Lesson 47. Pull Records From A Table At Random
    • Lesson 48. A Better Alternative To WITH (NOLOCK)
    • Lesson 49. Boost Performance When Calling A Stored Proc From SSIS
    • Lesson 50. Setting Up Queries For Ablation Testing
    • Lesson 51. Reduce Code And Save Time With Default Column Values
    • Lesson 52. Finding Duplicate Records In A Table
    • Lesson 53. Why You Cannot Have More Than One Clustered Index On A Table
    • Lesson 54. Converting Dates To YYYYMMDD
    • Lesson 55. Sending Notification Emails With T-SQL Without Using Hardcoded Email Addresses
    • Lesson 56. Troubleshooting Long Running Queries
    • Lesson 57. Loading Large CSVs Into Data Warehouse Staging Tables
    • Lesson 58. The Only Bloody Good Reason To Use Cursors
    • Lesson 59. Loading A Type II Slowly Changing Dimension With SQL Merge
    • Lesson 60. A Clearer Explanation Of The Parameters Of The Numeric Data Type
    • Lesson 61. Why You Cannot Join On Null Values
    • Lesson 62. A Deep Dive On How The Where Clause Functions
    • Lesson 63. Using HASHBYTES() To Compare Character Strings
    • Lesson 64. Using Pipe To Hash Multiple Columns For Matching
    • Lesson 65. Why People That Indent Code Drive Me Nuts
    • Lesson 66. How To Rapidly Stand Up A Data Warehouse From Scratch
    • Lesson 67. How To Pivot Data With T-SQL When Columns Are Not Predefined
    • Lesson 68. Prepopulating A Junk Dimension
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  • DECLARE Syntax
  • SET Syntax
  • Examples
  1. Advanced Topics

Lesson 30. Variables

We are now at the point where you understand how to pull data from tables. It is time to start learning how to actually program SQL Server so you can do things like write processes that pull, manipulate, and load data.

Variables only live as long as the script executes. When the script is done, the variable is wiped from memory.

The first step is learning how to create variables and assign them values. You create variables with DECLARE and set their value with SET. When setting your variable, string values have to be enclosed in quotes just like when you were writing WHERE clauses.

DECLARE Syntax

In [ ]:

DECLARE @[VariableName] [DataType]
DECLARE @[VariableName2] [DataType] =  [YourValue]

SET Syntax

In [ ]:

SET @[VariableName] = [YourValue]

Examples

Declaring A Variable

In [ ]:

USE AdventureWorks2016

DECLARE @FirstName NVARCHAR(20)

DECLARE @NumberOfStudents INT

DECLARE @TotalInvioceAmount MONEY

Setting A Variable Value

In [ ]:

USE AdventureWorks2016

DECLARE @FirstName NVARCHAR(20) 

SET @FirstName = 'Bob' 

Declaring A Default Value

In [ ]:

USE AdventureWorks2016

DECLARE @FirstName NVARCHAR(20) = 'Bob'

Viewing The Value Of A Variable

In [ ]:

USE AdventureWorks2016

DECLARE @FirstName NVARCHAR(20) = 'Bob'

PRINT @FirstName ---shows in messages

SELECT @FirstName AS VariableValue --shows in results

Set The Value Of Variables With The Output Of A SQL Statement

The key is the SQL statement has to return a single atomic value.

In [ ]:

USE AdventureWorks2016

DECLARE @FirstName NVARCHAR(20) = (SELECT FirstName FROM Person.Person WHERE BusinessEntityID = 1)

DECLARE @LastName NVARCHAR(20) 

SELECT @LastName = LastName
FROM Person.Person 
WHERE BusinessEntityID = 1

SELECT @FirstName, @LastName

Variable Usage

Variables can be used in various ways. You can use them for output in SELECT statements and in WHERE clauses to create dynamic filter criteria.

In [ ]:

USE AdventureWorks2016

DECLARE @Title NVARCHAR(5) = 'Mr.'
DECLARE @BusinessEntityID TINYINT = 1

SELECT @Title AS Title, FirstName, LastName 
FROM Person.Person 
WHERE BusinessEntityID = @BusinessEntityID
PreviousLesson 29. Dropping TablesNextLesson 31. Controlling Flow

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