Troubleshoot and Optimize Query Performance
Grant Fritchey

#SQL
#SQL_Server
#T_SQL
Troubleshoot slow-performing queries and make them run faster. Database administrators and SQL developers are constantly under pressure to provide more speed. This new edition has been redesigned and rewritten from scratch based on the last 15 years of learning, knowledge, and experience accumulated by the author. The book Includes expanded information on using extended events, automatic execution plan correction, and other advanced features now available in SQL Server. These modern features are covered while still providing the necessary fundamentals to better understand how statistics and indexes affect query performance.
The book gives you knowledge and tools to help you identify poorly performing queries and understand the possible causes of that poor performance. The book also provides mechanisms for resolving the issues identified, whether on-premises, in containers, or on cloud platform providers. You’ll learn about key fundamentals, such as statistics, data distribution, cardinality, and parameter sniffing. You’ll learn to analyze and design your indexes and your queries using best practices that ward off performance problems before they occur. You’ll also learn to use important modern features, such as Query Store to manage and control execution plans, the automated performance tuning feature set, and memory-optimized OLTP tables and procedures. You will be able to troubleshoot in a systematic way. Query tuning doesn’t have to be difficult. This book helps you to make it much easier.
What You Will Learn
Who This Book Is For
Developers and database administrators with responsibility for query performance in SQL Server environments, and anyone responsible for writing or creating T-SQL queries and in need of insight into bottlenecks (including how to identify them, understand them, and eliminate them)
Table of Contents
Chapter 1: Query Performance Tuning
Chapter 2: Execution Plan Generation and the Query Optimizer
Chapter 3: Methods for Capturing Query Performance Metrics
Chapter 4: Analyzing Query Behavior Using Execution Plans
Chapter 5: Statistics, Data Distribution, and Cardinality
Chapter 6: Using Query Store for Query Performance and Execution Plans
Chapter 7: Execution Plan Cache Behavior
Chapter 8: Query Recompilation
Chapter 9: Index Architecture
Chapter 10: Index Behaviors
Chapter 11: Key Lookups and Solutions
Chapter 12: Dealing with Index Fragmentation
Chapter 13: Parameter-Sensitive Queries: Causes and Solutions
Chapter 14: Query Design Analysis
Chapter 15: Reduce Query Resource Use
Chapter 16: Blocking and Blocked Processes
Chapter 17: Causes and Solutions For Deadlocks
Chapter 18: Row-by-Row Processing from Cursors and Other Causes
Chapter 19: Memory-Optimized OLTP Tables and Procedures
Chapter 20: Graph Databases
Chapter 21: Intelligent Query Processing
Chapter 22: Automated Tuning in Azure and SQL Server
Chapter 23: A Query Tuning Methodology
Grant Fritchey is a Microsoft Data Platform MVP and AWS Community Builder. He has more than 30 years of experience in IT technical support, development, and database administration. He currently works as Product Advocate at Red Gate Software. Grant writes articles for publication at SQL Server Central and Simple-Talk. He has published books, including SQL Server Execution Plans and SQL Server 2017 Query Performance Tuning (Apress). He has written chapters for Beginning SQL Server 2012 Administration (Apress), SQL Server Team-based Development, SQL Server MVP Deep Dives Volume 2, Pro SQL Server 2012 Practices (Apress), Expert Performance Indexing in SQL Server (Apress), and Query Store for SQL Server 2019 (Apress). Grant presents live sessions, virtual sessions, and recorded content online and in-person, all around the world.









