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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
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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

Cached query plan issues

As we discussed earlier in the sys.dm_exec_query_stats section, the SQL Database Engine maintains execution statistics for all the queries that are currently in the cache. There is a wealth of information in this DMV that we can use to troubleshoot several different query performance-related issues. We will cover a few issues here, but be sure to reference the BPCheck script in the Tiger Toolbox (https://aka.ms/bpcheck) for a more comprehensive example of queries to identify these scenarios and others.

Single-use plans (query fingerprints)

In the EXECUTE vs. sp_executesql section of Chapter 5, Writing Elegant T-SQL Queries, we discussed how to send ad hoc T-SQL queries to the SQL Database Engine in a way that allows for plan reuse (also see the Plan caching and re-use section in Chapter 1, Understanding Query Processing, for the importance of plan reuse). If we are not sure whether or not our application is successfully parameterizing queries and leveraging...

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