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SQL server query performance tuning, 4th edition

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www.it-ebooks.info For your convenience Apress has placed some of the front matter material after the index Please use the Bookmarks and Contents at a Glance links to access them www.it-ebooks.info Contents at a Glance About the Author������������������������������������������������������������������������������������������������������������� xxiii About the Technical Reviewer������������������������������������������������������������������������������������������ xxv Acknowledgments���������������������������������������������������������������������������������������������������������� xxvii Introduction��������������������������������������������������������������������������������������������������������������������� xxix ■■Chapter 1: SQL Query Performance Tuning������������������������������������������������������������������������1 ■■Chapter 2: Memory Performance Analysis����������������������������������������������������������������������17 ■■Chapter 3: Disk Performance Analysis����������������������������������������������������������������������������35 ■■Chapter 4: CPU Performance Analysis�����������������������������������������������������������������������������47 ■■Chapter 5: Creating a Baseline����������������������������������������������������������������������������������������57 ■■Chapter 6: Query Performance Metrics���������������������������������������������������������������������������69 ■■Chapter 7: Analyzing Query Performance ����������������������������������������������������������������������85 ■■Chapter 8: Index Architecture and Behavior�����������������������������������������������������������������111 ■■Chapter 9: Index Analysis����������������������������������������������������������������������������������������������143 ■■Chapter 10: Database Engine Tuning Advisor����������������������������������������������������������������165 ■■Chapter 11: Key Lookups and Solutions������������������������������������������������������������������������181 ■■Chapter 12: Statistics, Data Distribution, and Cardinality���������������������������������������������193 ■■Chapter 13: Index Fragmentation����������������������������������������������������������������������������������237 ■■Chapter 14: Execution Plan Generation�������������������������������������������������������������������������269 ■■Chapter 15 Execution Plan Cache Behavior�������������������������������������������������������������������283 iii www.it-ebooks.info ■ Contents at a Glance ■■Chapter 16: Parameter Sniffing�������������������������������������������������������������������������������������311 ■■Chapter 17: Query Recompilation����������������������������������������������������������������������������������321 ■■Chapter 18: Query Design Analysis�������������������������������������������������������������������������������355 ■■Chapter 19: Reduce Query Resource Use����������������������������������������������������������������������379 ■■Chapter 20: Blocking and Blocked Processes���������������������������������������������������������������397 ■■Chapter 21: Causes and Solutions for Deadlocks����������������������������������������������������������443 ■■Chapter 22: Row-by-Row Processing����������������������������������������������������������������������������459 ■■Chapter 23: Memory-Optimized OLTP Tables and Procedures��������������������������������������483 ■■Chapter 24: Database Performance Testing������������������������������������������������������������������505 ■■Chapter 25: Database Workload Optimization���������������������������������������������������������������515 ■■Chapter 26: SQL Server Optimization Checklist������������������������������������������������������������547 Index���������������������������������������������������������������������������������������������������������������������������������565 iv www.it-ebooks.info Introduction After all the years of work on SQL Server by Microsoft and all the work put in by talented data professionals, you’d think that fundamental performance problems would be a thing of the past, but they’re not Performance is frequently one of the last things on people’s minds when they’re developing a system Unfortunately, that means it usually becomes the biggest problem after that system goes to production You can’t simply rely on getting a phone call that tells you that procedure X on database Y that runs on server Z is running slow You need to have mechanisms in place to find this information for yourself You also can’t work off the general word slow Slow compared to what? Last week? Last month? The way it ran in your development system? And once you’ve identified something as actually running slow, you need to identify why Does it need an index? Does it have an index that it isn’t using? Is it the CPU, the disk, the memory, the number of users, the amount of data? And now that you’ve identified what and why, you have to something about it How? Rewrite the query? Change the WHERE clause? The questions that will come your way when you start performance tuning are endless This book provides you with the tools you need to answer those questions I’ll show you how to set up mechanisms for collecting performance metrics on your server for the SQL Server instances and databases living there I’ll go over the more tactical methods of collecting data on individual T-SQL calls Along the way, I’ll be discussing index structure, choice, and maintenance; how best to write your T-SQL code; how to test that code; and a whole slew of other topics One of my goals when writing this book was to deliver all these things using examples that resemble the types of queries you’ll see in the real world The tools and methods presented are mostly available with SQL Server Standard edition, although some are available only with SQL Server Enterprise edition These are called out whenever you might encounter them Almost all the tuning advice in the book is directly applicable to Microsoft Azure SQL Database (MASD), as well as to the more earthbound SQL Server 2014 Most of the tuning advice in the book is also immediately applicable to servers running within virtual machines (VMs) The primary differences for both MASD and VMs relate to what performance metrics you can collect and how much trust to put in them The performance solutions that are code and structure related are immediately applicable to both these environments An argument can be made that a lot of the fundamentals for query tuning have not changed radically from SQL Server 2008 to 2012 to 2014 Therefore, the need for a new, updated version of this book may not be immediately clear What has changed over those various releases of SQL Server is where queries run, what metrics are available to understand the system, and what tools you have available to tune your queries The point of this latest update to the book, in addition to adding information about the new functionality available within SQL Server 2014, is to clarify the types of information and responses available on those other environments I’ve taken the opportunity to completely restructure and rename the chapters Several new chapters have been introduced, allowing me to both expand the scope of the material within the book and make it much easier to consume The main point is to learn how to answer all the various questions that are going to be presented to you This book gives you the tools to that and to answer those questions in a methodical manner that eliminates much of the guesswork that is so common in performance optimization today Performance problems aren’t something to be feared With the right tools, you can tackle performance problems with a calmness and reliability that will earn the respect of your peers and your clients That will contribute directly to your success and theirs xxix www.it-ebooks.info ■ Introduction Who This Book Is For This book is for just about anyone responsible for the performance of the system Database administrators, certainly, are targeted because they’re responsible for setting up the systems, creating the infrastructure, and monitoring it over time Developers are too, because who else is going to generate all the well-formed and highly performant T-SQL code? Database devel-opers, more than anyone, are the target audience, if only because that’s what I for work Anyone who has the capability to write T-SQL, design tables, implement indexes, or manipulate server settings on the SQL Server system is going to need this information to one degree or another How This Book Is Structured The purpose of this book was to use as many “real-looking” queries as possible To this, I needed a “real” database I could have created one and forced everyone to track down the download Instead, I chose to use the sample database created by Microsoft, called AdventureWorks2012 This is available through CodePlex (www.codeplex.com/ MSFTDBProdSamples) I suggest keeping a copy of the restore handy and resetting your sample database after you have read a couple of topics from the book Microsoft updates these databases over time, so you might see different sets of data or different behavior with some of the queries than what is listed in this book I chose AdventureWorks2012 not because it represents a perfect database design but because it suffers from a number of design flaws and data distribution issues that make it more accurately reflect the real world instead of some flawless test case To a degree, this book builds on the knowledge presented from previous chapters However, most of the chapters present information unique within that topic, so it is possible for you to jump in and out of particular chapters You will still receive the most benefit by a sequential reading of Chapter through Chapter 26 •• Chapter 1, “SQL Query Performance Tuning,” introduces the iterative process of performance tuning You’ll get a first glimpse at establishing a performance baseline, identifying bottlenecks, resolving the problems, and quantifying the improvements •• Chapter 2, “Memory Performance Analysis,” starts the process using Performance Monitor metrics and dynamic management objects as mechanisms for collecting information about memory on your systems •• Chapter 3, “Disk Performance Analysis,” continues exploring the system of bottlenecks with a chapter dedicated to understanding how to collect metrics on disk performance You’ll use Performance Monitor and dynamic management objects again as well as add a number of additional T-SQL queries •• Chapter 4, “CPU Performance Analysis,” concludes the system bottleneck discussions with CPU I’ll also cover some network monitoring, although that is a fairly rare issue within SQL Server, and there’s little a DBA or developer can about it usually The tools used are the same as in the preceding chapters •• Chapter 5, “Creating a Baseline,” takes the information from all three of the preceding chapters and uses it to define a baseline A baseline represents a known point in your system from which you can compare to understand how performance is changing over time within your system •• Chapter 6, “Query Performance Metrics,” defines the best ways to look “under the hood” and see what kinds of queries are being run on your system It provides a detailed look at the new Extended Events tools Several of the most useful dynamic management views and functions used to monitor queries are first identified in this chapter xxx www.it-ebooks.info ■ Introduction •• Chapter 7, “Analyzing Query Performance,” walks you through consuming the metrics gathered in the previous chapter and shows various methods available to analyze query performance You’re introduced for the first time to query execution plans as well as other utilities available within SQL Server for determining which queries are longest running, most frequently called, or in need of tuning •• Chapter 8, “Index Architecture and Behavior,” explains indexes and index architecture It defines the differences between clustered and nonclustered indexes It shows which types of indexes work best with different types of querying Basic index maintenance is also introduced •• Chapter 9, “Index Analysis,” adds to the information from the preceding chapter and supplies more information about the use and functionality of indexes within SQL Server •• Chapter 10, “Database Engine Tuning Advisor,” covers the Microsoft tool Database Engine Tuning Advisor The chapter goes over in detail how to use the Database Engine Tuning Advisor; you’re introduced to the various mechanisms for calling the tool and shown how it works under real loads •• Chapter 11, “Key Lookups and Solutions,” takes on the classic performance problem, the key lookup, which is also known as the bookmark lookup This chapter explores various solutions to the lookup operation •• Chapter 12, “Statistics, Data Distribution, and Cardinality,” introduces the concept of statistics The optimizer uses statistics to make decisions regarding the execution of the query Maintaining statistics, understanding how they’re stored, learning how they work, and learning how they affect your queries are all topics covered within this chapter •• Chapter 13, “Index Fragmentation,” shows how indexes fragment over time You’ll learn how to identify when an index is fragmented You’ll also see what happens to your queries as indexes fragment, and you’ll learn mechanisms to eliminate index fragmentation •• Chapter 14, “Execution Plan Generation,” presents the mechanisms that SQL Server uses to create execution plans Plan reuse is an important concept within SQL Server You’ll learn how to identify whether plans are being reused You’ll get various mechanisms for looking at the cache This chapter also introduces dynamic management views that allow excellent access to the cache •• Chapter 15, “Execution Plan Cache Behavior,” covers information about how plans move in and out of cache as well as other details about execution plan behaviors including query and plan hash and your ability to reuse execution plans in cache •• Chapter 16, “Parameter Sniffing,” explains the extremely helpful process running automatically within SQL Server called parameter sniffing But, parameter sniffing can go bad and cause serious performance issues The problem, and the solutions, all go back to system statistics •• Chapter 17, “Query Recompilation,” displays how and when SQL Server will recompile plans that were stored in cache You’ll learn how plan recompiles can hurt or help the performance of your system You’ll pick up mechanisms for forcing a recompile and for preventing one •• Chapter 18, “Query Design Analysis,” reveals how to write queries that perform well within your system Common mistakes are explored, and solutions are provided You’ll learn several best practices to avoid common bottlenecks xxxi www.it-ebooks.info ■ Introduction •• Chapter 19, “Reduce Query Resource Use,” demonstrates various methods to ensure you’re using fewer resources such as CPU and I/O when running your queries You’ll learn about a number of antipatterns that you should avoid while writing your T-SQL •• Chapter 20, “Blocking and Blocked Processes,” teaches the best ways to recognize when various sessions on your server are in contention for resources You’ll learn how to monitor for blocking along with methods and techniques to avoid blocked sessions •• Chapter 21, “Causes and Solutions for Deadlocks,” shows how deadlocks occur on your system You’ll get methods for identifying sessions involved with deadlocks The chapter also presents best practices for avoiding deadlocks or fixing your code if deadlocks are already occurring •• Chapter 22, “Row-by-Row Processing,” diagrams the inherent costs that cursors present to set-oriented T-SQL code However, when cursors are unavoidable, you need to understand how they work, what they do, and how best to tune them within your environment if eliminating them outright is not an option •• Chapter 23, “Memory-Optimized OLTP Tables and Procedures,” introduces the new capabilities of in-memory data storage and retrieval You’ll also see how the in-memory stored procedure can radically change performance in a positive fashion But, this technology isn’t universally applicable, so I’ll also go over some of the limitations and best practices for applicability •• Chapter 24, “Database Performance Testing,” provides you with mechanisms to replicate the performance of your production system onto test systems in order to help you validate that the changes you’ve introduced to your queries really are helpful You’ll be using the Distributed Replay utility, introduced in SQL Server 2012, along with all the other tools you’ve been using throughout the book •• Chapter 25, “Database Workload Optimization,” demonstrates how to take the information presented in all the previous chapters and put it to work on a real database workload You’ll identify the worst-performing procedures and put them through various tuning methods to arrive at better performance •• Chapter 26, “SQL Server Optimization Checklist,” summarizes all the preceding chapters into a set of checklists and best practices The goal of the chapter is to enable you to have a place for quickly reviewing all you have learned from the rest of the book Downloading the Code You can download the code examples used in this book from the Source Code section of the Apress web site (www.apress.com) Most of the code is straight T-SQL stored in sql files, which can be opened and used in any SQL Server T-SQL editing tool There are a couple of PowerShell scripts that will have to be run through a PowerShell command line Contacting the Author You can contact the author, Grant Fritchey, at grant@scarydba.com You can visit his blog at http://scarydba.com xxxii www.it-ebooks.info Chapter SQL Query Performance Tuning Query performance tuning remains an important part of today’s database applications Yes, hardware performance is constantly improving Upgrades to SQL Server—especially to the optimizer, which helps determine how a query is executed, and the query engine, which executes the query—lead to better performance all on their own At the same time, SQL Server instances are being put on virtual machines, either locally or in hosted environments, where the hardware behavior is not guaranteed Databases are going to platform as a service systems such as Amazon RDS and Windows Azure SQL Database You still have to deal with fundamental database design and code generation In short, query performance tuning remains a vital mechanism for improving the performance of your database management systems The beauty of query performance tuning is that, in many cases, a small change to an index or a SQL query can result in a far more efficient application at a very low cost In those cases, the increase in performance can be orders of magnitude better than that offered by an incrementally faster CPU or a slightly better optimizer There are, however, many pitfalls for the unwary As a result, a proven process is required to ensure that you correctly identify and resolve performance bottlenecks To whet your appetite for the types of topics essential to honing your query optimization skills, the following is a quick list of the query optimization aspects I cover in this book: • Identifying problematic SQL queries • Analyzing a query execution plan • Evaluating the effectiveness of the current indexes • Avoiding bookmark lookups • Evaluating the effectiveness of the current statistics • Understanding parameter sniffing and fixing it when it breaks • Analyzing and resolving fragmentation • Optimizing execution plan caching • Analyzing and avoiding statement recompilation • Minimizing blocking and deadlocks • Analyzing the effectiveness of cursor use • Applying in-memory table storage and procedure execution • Applying performance-tuning processes, tools, and optimization techniques to optimize SQL workloads www.it-ebooks.info Chapter ■ SQL Query Performance Tuning Before jumping straight into these topics, let’s first examine why we go about performance tuning the way we In this chapter, I discuss the basic concepts of performance tuning for a SQL Server database system It’s important to have a process you follow in order to be able to find and identify performance problems, fix those problems, and document the improvements you’ve made Without a well-structured process, you’re going to be stabbing in the dark, hoping to hit a target I detail the main performance bottlenecks and show just how important it is to design a database-friendly application, which is the consumer of the data, as well as how to optimize the database Specifically, I cover the following topics: • The performance tuning process • Performance versus price • The performance baseline • Where to focus efforts in tuning • The top 13 SQL Server performance killers What I don’t cover within these pages could fill a number of other books The focus of this book is on T-SQL query performance tuning, as the title says But, just so you’re clear, there will be no coverage of the following: • Hardware choices • Application coding methodologies • Server configuration (except where it impacts query tuning) • SQL Server Integration Services • SQL Server Analysis Services • SQL Server Reporting Services • PowerShell The Performance Tuning Process The performance tuning process consists of identifying performance bottlenecks, prioritizing the identified issues, troubleshooting their causes, applying different resolutions, and quantifying performance improvements—and then repeating the whole process again and again It is necessary to be a little creative, since most of the time there is no one silver bullet to improve performance The challenge is to narrow down the list of possible causes and evaluate the effects of different resolutions You can even undo previous modifications as you iterate through the tuning process The Core Process During the tuning process, you must examine various hardware and software factors that can affect the performance of a SQL Server–based application You should be asking yourself the following general questions during the performance analysis: • Is any other resource-intensive application running on the same server? • Is the capacity of the hardware subsystem capable of withstanding the maximum workload? • Is SQL Server configured properly? www.it-ebooks.info ... where it impacts query tuning) • SQL Server Integration Services • SQL Server Analysis Services • SQL Server Reporting Services • PowerShell The Performance Tuning Process The performance tuning... in Chapter SQL Server Performance Killers Let’s now consider the major problem areas that can degrade SQL Server performance By being aware of the main performance killers in SQL Server in advance,... Chapter ■ SQL Query Performance Tuning Figure 1-1.  Performance tuning process www.it-ebooks.info Chapter ■ SQL Query Performance Tuning You can see that the steps to optimize the costliest query

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