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Query Store for SQL Server 2019: Identify and Fix Poorly Performing Queries
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Tracy Boggiano / Grant Fritchey
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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 arent 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 databases 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 Youll 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

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Tracy Boggiano and Grant Fritchey

Query Store for SQL Server 2019

Identify and Fix Poorly Performing Queries

Tracy Boggiano

Cary, NC, USA

Grant Fritchey

Grafton, MA, USA

Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/9781484250037 . For more detailed information, please visit http://www.apress.com/source-code .

ISBN 978-1-4842-5003-7 e-ISBN 978-1-4842-5004-4

https://doi.org/10.1007/978-1-4842-5004-4

Tracy Boggiano and Grant Fritchey 2019

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.

Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.

While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.

Distributed to the book trade worldwide by Springer Science+Business Media New York, 233 Spring Street, 6th Floor, New York, NY 10013. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-sbm.com, or visit www.springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation.

I would like to dedicate this book to my Uncle Elden. He bought me my first two computer books when I was in seventh grade on MS-DOS and QBasic igniting my passion for working on computers. In writing my first technical book, it seems fitting to recognize that without his contribution to my early learning on computers, I may not have stuck with my dreams of becoming involved in the computer field.

Tracy Boggiano

Introduction

This book is about the Query Store feature built into SQL Server 2019 and how it works to help you identify poorly performing queries and fix them in your databases. Query Store has been in SQL Server since SQL Server 2016 and has gradually added features with each new release to make it better at what information it captures and how it is captured. This book is intended for SQL Server DBAs looking for how Query Store works, the best way to implement it, and how to effectively use it to solve problems. Query Store shows you in an aggregrated form of what was and is running in your database.

Chapter dives into detailing what data is available in the catalog views for Query Store.

Chapter introduces you to two community tools dbatools and sp_blitzQueryStore that help with the configuration of Query Store and getting data out of Query Store.

Table of Contents

About the Authors and About the Technical Reviewer

About the Authors

Tracy Boggiano

Senior Database Administratior for DocuSign has more than 20 years experience - photo 3

Senior Database Administratior for DocuSign has more than 20 years experience on SQL Server and is a speaker at several events including local users groups, virtual groups, SQLSaturdays, and PASS Summit. Her passion outside of computers is volunteering with foster kids as their advocate in court through the North Carolina Guardian ad Litem program.

Grant Fritchey

Microsoft Data Platform MVP, has more than 20 years of experience in IT. That time was spent in technical support, development, and database administration. He currently works as Product Evangelist at Red Gate Software.

About the Technical Reviewer

Michael Wells

is an engineer at Dell EMC in the Azure Stack product group He has worked in - photo 4

is an engineer at Dell EMC in the Azure Stack product group. He has worked in IT since 2000 and has supported SQL Server since SQL Server 2000. Michael has been active in the SQL Server and .NET Development communities since 2007 and regularly speaks at local user groups, CodeCamps, SQLSaturday events, IT Pro Camps, and large conferences like PASS Summit, Microsoft Ignite, and Oracle OpenWorld.

Tracy Boggiano and Grant Fritchey 2019

T. Boggiano, G. Fritchey Query Store for SQL Server 2019 https://doi.org/10.1007/978-1-4842-5004-4_1

1. What Is Query Store?

Tracy Boggiano

(1)

Cary, NC, USA

(2)

Grafton, MA, USA

Query Store keeps rolled-up aggregates of queries and statistics for workloads that are run against your SQL Server database when it is enabled. This data can be used to help you establish a baseline for performance, troubleshoot performance issues, and stabilize performance on your database. In this chapter, we go over techniques that were used before Query Store was released, including Profiler/server-side traces, Extended Events, DMVs (Dynamic Management Views), plan guides, and sp_whoisactive . Then, we will look at how and why Query Store is a game changer for doing these activities.

Query Store is like a flight recorder box for your SQL Server. Query Store stores statistics such as duration, reads, writes, CPU, etc. along with query plans in memory and then aggregates this information based on the settings that were set when Query Store was enabled on the database, with a default of 1 hour. At specified periods, the default is 15 minutes, this data is persisted to disk into the catalog views for you to query or view via the built-in reports in SQL Server Management Studio (SSMS) . With the introduction of SQL Server 2017, we also can utilize the power of auto plan correction and the aggregation of wait statistics more on this in Chapter .

This is where the true power of Query Store comes into play. Before this data was only available if you captured it using various other methods that proved to be much slower and cumbersome to work with. To get a better understanding of what Query Store is doing under the covers, we will explore these other methods:

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