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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

Improving performance by a columnstore index


All the indexes discussed here, so far, were rowstore indexes, which is a type available in SQL Server for long time. But, there is a new index called columnstore index, which was introduced in SQL Server 2012. So, now there are two types of indexes available in SQL Server 2012:

  • Rowstore index

  • Columnstore index

The rowstore index stores data row(s) in data pages, whereas the columnstore index stores each column in a different data page(s).

For example, if we had one table, tblEmployee, with columns empId, FirstName, and LastName, and an index on all three fields, the logical image of rowstore as well as columnstore, for illustration purposes, would be something like this:

A data page is nothing but an 8-KB page that stores data. If you have 10 rows and the total size of those 10 rows is 16 KB, then each row should consume 2 data pages, in case of a rowstore index.

The columnstore index doesn't contain a whole row, but the data of one column only...

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