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SQL Server 2019 Administrator's Guide

You're reading from   SQL Server 2019 Administrator's Guide A definitive guide for DBAs to implement, monitor, and maintain enterprise database solutions

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781789954326
Length 522 pages
Edition 2nd Edition
Languages
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Authors (2):
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Marek Chmel Marek Chmel
Author Profile Icon Marek Chmel
Marek Chmel
Vladimír Mužný Vladimír Mužný
Author Profile Icon Vladimír Mužný
Vladimír Mužný
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Provisioning the SQL Server Environment
2. Chapter 1: Setting Up SQL Server 2019 FREE CHAPTER 3. Chapter 2: Keeping Your SQL Server Environment Healthy 4. Section 2: Server and Database Maintenance
5. Chapter 3: Implementing Backup and Recovery 6. Chapter 4: Securing Your SQL Server 7. Chapter 5: Working with Disaster Recovery Options 8. Chapter 6: Indexing and Performance 9. Section 3: High Availability and the Cloud with SQL Server 2019
10. Chapter 7: Planning Migration and Upgrade 11. Chapter 8: Automation – Using Tools to Manage and Monitor SQL Server 2019 12. Chapter 9: Configuring Always On High Availability Features 13. Chapter 10: In-Memory OLTP – Why and How to Use it 14. Chapter 11: Combining SQL Server 2019 with Azure 15. Chapter 12: Taming Big Data with SQL Server 16. Other Books You May Enjoy

Common performance issue patterns

So far, we've seen how SQL Server works internally and which tools we can use for monitoring. We will find many areas that can be optimized on SQL Server. We can work with memory, physical disks, or CPUs, but we should always start our performance tuning work with the most basic thing – query response times. This section provides a real-life example that shows us how to explore response issues, as well as how to save system resources with just a couple of simple steps.

No real-time scenario has just one potential cause. Hence, there is not just one way to resolve an issue. In many cases, administrators try to resolve every issue with more system resources, but this approach is very expensive, and we do not have a bottomless pool of system resources (and, by the way, most performance bottlenecks are NOT caused by insufficient resources). That is why we should find the root cause of the performance issue and try to resolve it using resource...

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