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Query Store for SQL Server 2019

Identify and Fix Poorly Performing Queries

  • Tracy Boggiano
  • Grant Fritchey
Book
  • 2.2k Downloads

Table of contents

  1. Front Matter
    Pages i-xv
  2. Tracy Boggiano, Grant Fritchey
    Pages 1-29
  3. Tracy Boggiano, Grant Fritchey
    Pages 31-45
  4. Tracy Boggiano, Grant Fritchey
    Pages 47-70
  5. Tracy Boggiano, Grant Fritchey
    Pages 71-100
  6. Tracy Boggiano, Grant Fritchey
    Pages 101-131
  7. Tracy Boggiano, Grant Fritchey
    Pages 133-147
  8. Tracy Boggiano, Grant Fritchey
    Pages 149-167
  9. Tracy Boggiano, Grant Fritchey
    Pages 169-188
  10. Tracy Boggiano, Grant Fritchey
    Pages 189-199
  11. Tracy Boggiano, Grant Fritchey
    Pages 201-213
  12. Back Matter
    Pages 215-219

About this book

Introduction

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 Learn:
  • Apply best practices in implementing Query Store on production servers
  • Detect and correct regressions in query performance
  • Lower the risk of performance degradation following an upgrade
  • Use tools and techniques to get the most from Query Store
  • Automate regression correction and other uses of Query Store


Keywords

SQL Server Query Store Automatic Plan Correction Open Query Store Wait Stats DMVs Dynamic Management Views Extended Events In-Memory OLTP Performance Forcing Plans

Authors and affiliations

  • Tracy Boggiano
    • 1
  • Grant Fritchey
    • 2
  1. 1.CaryUSA
  2. 2.GraftonUSA

Bibliographic information

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