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. Solutions To Real World Problems

Lesson 50. Setting Up Queries For Ablation Testing

Sometimes you write a complex SQL statement that doesn’t work, and you do not know why. The best way to figure out what is wrong is by ablation testing.

Ablation testing is where you turn things off until you isolate the problem. In the case of SQL queries, this involves commenting out lines of a complex WHERE clause (or JOIN) until you find the thing that is not working as designed.

However, if your WHERE clause starts with a filter, you have to move it so you can comment it out. If you start your WHERE clause with 1 = 1, which is always true, then you preserve syntax and can easily comment out your filters without having to rewrite your code.

No matter how simple your SQL statement is, I recommend that you get in the habit of creating ablation testing ready SQL statements.

Examples

Basic Setup

In [ ]:

USE AdventureWorks2016

SELECT *
FROM Sales.SalesOrderHeader soh
JOIN Sales.SalesOrderDetail sod
ON soh.SalesOrderID = sod.SalesOrderID
WHERE 1 = 1

An Example Of Ablation Testing

Here we suspect that two lines in the WHERE clause are causing our query to act up.

In [ ]:

USE AdventureWorks2016

SELECT
CONCAT(p.FirstName, ' ',p.LastName) AS SalesPerson,
DATEPART(month,soh.OrderDate) AS MonthOfSale,
SUM(sod.LineTotal) AS TotalSales
FROM Person.Person p
JOIN Sales.SalesPerson sp
ON p.BusinessEntityID = sp.BusinessEntityID
JOIN Sales.SalesOrderHeader soh
ON sp.BusinessEntityID = soh.SalesPersonID
JOIN Sales.SalesOrderDetail sod
ON soh.SalesOrderID = sod.SalesOrderDetailID
WHERE 1 = 1
AND sp.Bonus BETWEEN 3000.00 AND 6000.00
--AND sp.SalesYTD >= 2000000.00
--AND sod.UnitPrice < 2000
AND (YEAR(soh.OrderDate) BETWEEN 2014 AND 2013 OR YEAR(soh.OrderDate) = 2011)
GROUP BY p.LastName, p.FirstName, DATEPART(month,soh.OrderDate)
ORDER BY p.LastName, p.FirstName, DATEPART(month,soh.OrderDate)
PreviousLesson 49. Boost Performance When Calling A Stored Proc From SSISNextLesson 51. Reduce Code And Save Time With Default Column Values

Last updated 3 years ago