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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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Toc

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

Find out-of-date statistics and get it correct


The statistics object is the major source of information about data distribution for the predicate. Without knowing the exact data distribution, the query optimizer cannot have cardinality estimation, which is the process of calculating number of rows to return by applying the predicate.

After creating the statistics for the column, the column becomes out-of-date after executing DML commands, such as INSERT, UPDATE, and DELETE, because these commands change data, thereby affecting data distribution. In this scenario, a statistics update is needed.

In highly active tables, statistics become outdated in maybe a few hours; for static tables, statistics become outdated maybe in a few weeks. The decision about out-of-date statistics totally depends on the DML statements executed on the table

Before we move back to the core subject and start writing down the script, it is mandatory to draw attention to some facts and also to look at flashbacks.

Till...

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