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SQL Server 2017 Developer???s Guide

You're reading from   SQL Server 2017 Developer???s Guide A professional guide to designing and developing enterprise database applications

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788476195
Length 816 pages
Edition 1st Edition
Languages
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Authors (3):
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Dejan Sarka Dejan Sarka
Author Profile Icon Dejan Sarka
Dejan Sarka
Miloš Radivojević Miloš Radivojević
Author Profile Icon Miloš Radivojević
Miloš Radivojević
William Durkin William Durkin
Author Profile Icon William Durkin
William Durkin
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Toc

Table of Contents (19) Chapters Close

Preface 1. Introduction to SQL Server 2017 FREE CHAPTER 2. Review of SQL Server Features for Developers 3. SQL Server Tools 4. Transact-SQL and Database Engine Enhancements 5. JSON Support in SQL Server 6. Stretch Database 7. Temporal Tables 8. Tightening Security 9. Query Store 10. Columnstore Indexes 11. Introducing SQL Server In-Memory OLTP 12. In-Memory OLTP Improvements in SQL Server 2017 13. Supporting R in SQL Server 14. Data Exploration and Predictive Modeling with R 15. Introducing Python 16. Graph Database 17. Containers and SQL on Linux 18. Other Books You May Enjoy

Summary


In this chapter, you have learned that Query Store is a great troubleshooting tool and captures all execution-relevant parameters for database queries: query details, execution plans, and runtime statistics and stores them in the same database so that they can survive after server failures. All that is done out-of-the-box, with minimal impact on the database workload.

By using Query Store, you can not only quickly identify performance regressions, but also mitigate them by forcing a well-known and previously used execution plan. Query Store will save you time and money. It also helps you to learn how your database workload changes over time and to identify queries that did not execute successfully.

With the automatic tuning feature, you can get a list of regressed queries with tuning actions recommended by Query Store, which significantly reduces troubleshooting time and even offers you fully automated tuning for queries with a regressed executed plan.

In the next chapter, you will...

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