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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

Concepts

Database Administration

Authors (2):

Pedro Lopes

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

Why subscribe?

17. Other Books You May Enjoy

Understanding QTA fundamentals

While guiding us through the recommended process, QTA doesn’t follow it exactly. The very last step, step 5, will not have the same outcome we saw in the previous section; instead of providing options to revert to a last known good plan, QTA helps to find a new state that is not the pre-CE upgrade or post-CE upgrade plan but a new plan that will hopefully outperform both of the previous plans.

The following diagram summarizes the recommended steps to minimize risk with CE upgrades using QTA, which replaces the very last step of the process described in the previous Understanding where QTA and CE Feedback are needed section:

Figure 12.4: The recommended steps to minimize risk with CE upgrades using QTA

Figure 12.4: The recommended steps to minimize risk with CE upgrades using QTA

How does QTA find a better query plan for regressed queries? Starting with the same data that’s available in Query Store’s Regressed Queries report, QTA will look for query patterns that may be affected...

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Authors (2)

Pedro Lopes

Pedro Lopes is a Program Manager in the Database Systems group, based in Redmond, WA, USA. He has over 19 years of industry experience and has been with Microsoft for 9 years. He is currently responsible for program management of Database Engine features for in-market and vNext versions of SQL Server, with a special focus on the Relational Engine. He has extensive experience with query performance troubleshooting and is a regular speaker at numerous conferences such as SQLBits, PASS Summit, SQLIntersection, Microsoft Ignite, and Microsoft Build. He blogs about SQL on the SQL Server Team blog. He has authored several tools in the Tiger toolbox on GitHub: AdaptiveIndexDefrag maintenance solution, BPCheck, and usp_WhatsUp.

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Pam Lahoud

Pam Lahoud is a Program Manager in the Database Systems group, based in Redmond, WA, USA. She has been with Microsoft for 13 years and is currently responsible for program management of Database Engine features for in-market and vNext versions of SQL Server, with a special focus on the Storage Engine area. She is passionate about SQL Server performance and has focused on performance tuning and optimization, particularly from the developer's perspective, throughout her career. She is a SQL Server 2008 Microsoft Certified Master (MCM) with over 20 years of experience working with SQL Server.

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