Query Store for SQL Server 2019
Author | : Tracy Boggiano |
Publisher | : Apress |
Total Pages | : 224 |
Release | : 2019-10-02 |
ISBN-10 | : 9781484250044 |
ISBN-13 | : 1484250044 |
Rating | : 4/5 (44 Downloads) |
Download or read book Query Store for SQL Server 2019 written by Tracy Boggiano and published by Apress. This book was released on 2019-10-02 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply the new Query Store feature to identify and fix poorly performing queries in SQL Server. Query Store is an important and recent feature in SQL Server that provides insight into the details of query execution and how that execution has changed over time. Query Store helps to identify queries that aren’t performing well, or that have regressed in their performance. Query Store provides detailed information such as wait stats that you need to resolve root causes, and it allows you to force the use of a known good execution plan. With SQL Server 2017 and later you can automate the correction of regressions in performance. Query Store for SQL Server 2019 helps you protect your database’s performance during upgrades of applications or version of SQL Server. The book provides fundamental information on how Query Store works and best practices for implementation and use. You will learn to run and interpret built-in reports, configure automatic plan correction, and troubleshoot queries using Query Store when needed. Query Store for SQL Server 2019 helps you master Query Store and bring value to your organization through consistent query execution times and automate correction of regressions. What You'll LearnApply best practices in implementing Query Store on production servers Detect and correct regressions in query performanceLower the risk of performance degradation following an upgradeUse tools and techniques to get the most from Query StoreAutomate regression correction and other uses of Query Store Who This Book Is For SQL Server developers and administrators responsible for query performance on SQL Server. Anyone responsible for identifying poorly performing queries will be able to use Query Store to find these queries and resolve the underlying issues.