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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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Toc

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

Summary

This chapter covered a lot of ground, so let’s review the overall indexing strategy guidance:

  1. Clustered index data access is generally more efficient than heaps and every table in the database should have a clustered index, except for short-lived tables such as staging tables.
  2. Create clustered indexes first based on the data structure. These should generally be primary keys unless there’s a specific reason to cluster a different column or columns (for example, surrogate versus natural keys).
  3. Create non-clustered indexes on all foreign key columns.
  4. Once you begin writing queries, create additional non-clustered indexes to support the application queries, or add additional columns to existing foreign key indexes.
  5. Create covering indexes where practical, balancing overhead with performance.
  6. Do not over-index heavily updated tables; balance the cost of index maintenance with the benefit to queries. Just because the SQL Database Engine allows...
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