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Learn T-SQL Querying

You're reading from   Learn T-SQL Querying A guide to developing efficient and elegant T-SQL code

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781837638994
Length 456 pages
Edition 2nd Edition
Languages
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Authors (2):
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Pedro Lopes Pedro Lopes
Author Profile Icon Pedro Lopes
Pedro Lopes
Pam Lahoud Pam Lahoud
Author Profile Icon Pam Lahoud
Pam Lahoud
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Query Processing Fundamentals
2. Chapter 1: Understanding Query Processing FREE CHAPTER 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

Troubleshooting Live Queries

During our career as a database professional, we likely encounter cases where a runaway query takes hours to complete or doesn’t even complete by any reasonable time measurement. How do we troubleshoot cases such as this?

A query execution plan can help provide a conclusive explanation of query performance issues. But to get a query execution plan there is one requirement a long-running query can’t easily meet: query completion.

If the query takes a long time to complete or never actually does, then how can we troubleshoot these cases? And what happens if we take that production query back to our development server and it runs fine? That means there is a set of conditions that can only be reproduced in the production server, be that the size of the database, the data distribution statistics, or even the availability of resources such as memory or CPU. Therefore, the ability to analyze a query execution plan while the query is executing...

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