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Microsoft SQL Server 2012 Performance Tuning Cookbook

You're reading from   Microsoft SQL Server 2012 Performance Tuning Cookbook With this book you'll learn all you need to know about performance monitoring, tuning, and management for SQL Server 2012. Includes a host of recipes and screenshots to help you say goodbye to slow running applications.

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Product type Paperback
Published in Jul 2012
Publisher Packt
ISBN-13 9781849685740
Length 478 pages
Edition 1st Edition
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Table of Contents (28) Chapters Close

Microsoft SQL Server 2012 Performance Tuning Cookbook
Credits
About the Authors
Acknowledgement
Acknowledgement
About the Reviewers
www.PacktPub.com
1. Preface
1. Mastering SQL Trace Using Profiler FREE CHAPTER 2. Tuning with Database Engine Tuning Advisor 3. System Statistical Functions, Stored Procedures, and the DBCC SQLPERF Command 4. Resource Monitor and Performance Monitor 5. Monitoring with Execution Plans 6. Tuning with Execution Plans 7. Dynamic Management Views and Dynamic Management Functions 8. SQL Server Cache and Stored Procedure Recompilations 9. Implementing Indexes 10. Maintaining Indexes 11. Points to Consider While Writing Queries 12. Statistics in SQL Server 13. Table and Index Partitioning 14. Implementing Physical Database Structure 15. Advanced Query Tuning Hints and Plan Guides 16. Dealing with Locking, Blocking, and Deadlocking 17. Configuring SQL Server for Optimization 18. Policy-based Management 19. Resource Management with Resource Governor Index

Introduction


Indexes are one of the most powerful objects in the RDBMS system, though the index itself is not a relational concept. It significantly reduces disk I/O and logical reads, to boost up the performance of the SELECT statement by locating proper data without even scanning the whole table. That is why it is mandatory to have a proper index on proper column(s) of the table. Missing indexes or Indexes on improper column(s) could start creating performance-related issues, such as implanting a wrong execution plan, which may create high I/O use and logical reads. Indexes are a double-edged sword, so use them with caution, otherwise it may be harmful for performance. This is because indexes come with a little overhead for DML statements, which requires storage space on the disk, and keeping your index up to date with changing data is also one of the overheads.

We could like to compare indexes to an English dictionary (this is really a widely used analogy for indexes). Suppose we are...

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