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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

Using files and filegroups


By placing certain database objects on different physical disks, you can improve the performance of your databases. But, how do we control the placement of certain database objects on particular physical disks?

Well, files and filegroups are used in SQL Server to physically organize your database files and database objects. By organizing data files with the help of filegroups, you can place specific database objects, such as tables and indexes, on particular physical disks.

Let's say that you are responsible for creating and designing a new production database, which will be accessed by many applications. You expect one particular table to grow very large with time. You are lucky enough to have enough hardware resources in the form of multiple physical disks that you can use to distribute your database physically. You decide to place the table that you estimate will become very large and expect will be accessed heavily by many requests, so that you can achieve the...

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