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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

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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

Tracking expensive queries

Query Store only collects plans for Data Manipulation Language (DML) statements such as SELECT, INSERT, UPDATE, DELETE, MERGE, and BULK INSERT, as these are the T-SQL statements that will be responsible for most of our SQL Database Engine’s resource usage. Most database administrators (DBAs) and database reliability engineers are constantly looking for ways to optimize resource usage; after all, if T-SQL queries are using just the resources they need (CPU, I/O, and memory), then the SQL Database Engine is operating at peak efficiency and allows for maximum concurrency with its current hardware resources.

This brings us to one of the main benefits of Query Store: tracking our workload heavy hitters – the most resource-consuming queries. With this exercise, we may be able to uncover tuning opportunities that, if successful, further improve the efficiency of the server’s resource usage.

To generate enough workload in our AdventureWorks...

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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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