Search icon CANCEL
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Learn T-SQL Querying - Second Edition

You're reading from  Learn T-SQL Querying - Second Edition

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781837638994
Pages 456 pages
Edition 2nd Edition
Languages
Authors (2):
Pedro Lopes Pedro Lopes
Profile icon Pedro Lopes
Pam Lahoud Pam Lahoud
Profile icon Pam Lahoud
View More author details

Table of Contents (18) Chapters

Preface 1. Part 1: Query Processing Fundamentals
2. Chapter 1: Understanding Query Processing 3. Chapter 2: Mechanics of the Query Optimizer 4. Part 2: Dos and Don’ts of T-SQL
5. Chapter 3: Exploring Query Execution Plans 6. Chapter 4: Indexing for T-SQL Performance 7. Chapter 5: Writing Elegant T-SQL Queries 8. Chapter 6: Discovering T-SQL Anti- Patterns in Depth 9. Part 3: Assembling Our Query Troubleshooting Toolbox
10. Chapter 7: Building Diagnostic Queries Using DMVs and DMFs 11. Chapter 8: Building XEvent Profiler Traces 12. Chapter 9: Comparative Analysis of Query Plans 13. Chapter 10: Tracking Performance History with Query Store 14. Chapter 11: Troubleshooting Live Queries 15. Chapter 12: Managing Optimizer Changes 16. Index 17. Other Books You May Enjoy

Functions in our predicate

Search predicates should only use deterministic function calls. Calls to non-deterministic functions with columns for parameters cause the SQL Database Engine to be unable to reference the selectivity of those columns, as the result of the function is unknown at compile time. Because of this, they cause unnecessary scans.

Keep in mind what was discussed in previous chapters: that the Query Optimizer uses statistics and some internal transformation rules and heuristics at compile time to determine a good enough plan to execute a query; and how the WHERE clause is one of the first to be evaluated during logical query processing. The Query Optimizer depends on the estimated cost to resolve the search predicates to choose whether to do seeks or scans over indexes.

The following example shows a query executed in the AdventureWorks sample database that uses non-deterministic function calls in the search predicate:

SELECT SalesOrderID, OrderDate
FROM Sales...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}