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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  1. Language Basics

Lesson 7. Complex Data Filtering

Data can be filtered in a lot of different ways. You can be very specific in order to get exactly what you want.

Filters are built with logic operators. The logic operators in SQL are very much like the logic operators you will find in any language.

Filtering Individual Columns

The following are the logic operators for filtering individual columns.

Operator
Operator Description

=

Equals

<>

Does not equal

<

Less than

>

Greater than

<=

Less than or equal to

>=

Greater than or equal to

!=

Does not equal

!<

Is not less than

!>

Is not greater than

BETWEEN, AND

Is between two values inclusive of those values

NOT BETWEEN, AND

Is not between two values inclusive of those values

IS NULL

Where the value is null

IS NOT NULL

Where the value is not null

Combining Individual Filters

Combining filters requires the use of two additional operators.

  1. AND for when you want both conditions to be true

  2. OR for when you want either condition to be true

Combining filters can be quite complex and confusing. For readability and your own sanity, I recommend that you keep everything straight by using parentheses to clearly group your logic.

Examples

A Full Set Of Filtering Examples

USE AdventureWorks2016

SELECT *
FROM Production.Product
WHERE 1 = 1

SELECT *
FROM Production.Product
WHERE 1 = 1
AND SafetyStockLevel = 1000

SELECT *
FROM Production.Product
WHERE 1 = 1
AND SafetyStockLevel != 1000

SELECT *
FROM Production.Product
WHERE 1 = 1
AND ReorderPoint >= 600

SELECT *
FROM Production.Product
WHERE 1 = 1
AND SafetyStockLevel != 1000

SELECT *
FROM Production.Product
WHERE 1 = 1
AND ListPrice BETWEEN 50 AND 100

SELECT *
FROM Production.Product
WHERE 1 = 1
AND Size IS NOT NULL
AND MakeFlag = 1

SELECT *
FROM Production.Product
WHERE 1 = 1
AND Size IS NOT NULL
OR Color = 'Black'

SELECT *
FROM Production.Product
WHERE 1 = 1
AND (ReorderPoint > 350 AND ListPrice <> 0)
OR (Color = 'Black' AND ListPrice = 0)

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Last updated 3 years ago