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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

Effects of statistics on non-key column


The index always plays an important role, as far as the performance of the SELECT statement is concerned. Actually, the query optimizer first checks statistics of the predicate and then decides which index is supposed to be used. Generally, creating an index creates statistics on key columns of an index, by default, but it doesn't mean that statistics on non-key columns wouldn't get any benefit if it is available.

It is neither affordable nor desirable to have an index on each and every column of the table, or on all those columns that you use in predicate, because index comes with an overhead: it needs space to store itself as well as each DML statement update index.

Mostly, it is a good idea to have an index on a column you use in the WHERE or ON clauses, but if for any reason, it is not possible to create an index on the column you use in predicate (in other words, the non-key column), it is a good practice to at least create statistics on that column...

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