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  • Book Overview & Buying SQL Server Query Tuning and Optimization
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SQL Server Query Tuning and Optimization

SQL Server Query Tuning and Optimization

By : Benjamin Nevarez
4.9 (13)
Buy this Book
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SQL Server Query Tuning and Optimization

SQL Server Query Tuning and Optimization

4.9 (13)
By: Benjamin Nevarez
Buy this Book

Overview of this book

SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications. This book starts by describing the inner workings of the query optimizer, and will enable you to use this knowledge to write better queries and provide the query engine with all the information it needs to produce efficient execution plans. As you progress, you’ll get practical query optimization tips for troubleshooting underperforming queries. The book will also guide you through intelligent query processing and what is new in SQL Server 2022. Query performance topics such as the Query Store, In-Memory OLTP and columnstore indexes are covered as well. By the end of this book, you’ll be able to get the best possible performance for your queries and applications.
Table of Contents (14 chapters)
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Preface
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Preface
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Who this book is for
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What this book covers
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Download the example code files
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Download the color images
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Conventions used
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Get in touch
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Share Your Thoughts
1
Chapter 1: An Introduction to Query Tuning and Optimization
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Chapter 1: An Introduction to Query Tuning and Optimization
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Query Processor Architecture
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Analyzing execution plans
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Getting plans from a trace or the plan cache
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SET STATISTICS TIME and IO statements
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Summary
Lock Free Chapter
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Chapter 2: Troubleshooting Queries
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Chapter 2: Troubleshooting Queries
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DMVs and DMFs
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SQL Trace
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Extended events
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The Data Collector
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Summary
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Chapter 3: The Query Optimizer
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Chapter 3: The Query Optimizer
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Query optimization research
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Introduction to query processing
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The sys.dm_exec_query_optimizer_info DMV
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Parsing and binding
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Simplification
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Trivial plan optimization
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Joins
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Transformation rules
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The Memo
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Statistics
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Full optimization
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Summary
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Chapter 4: The Execution Engine
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Chapter 4: The Execution Engine
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Data access operators
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Aggregations
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Joins
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Parallelism
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Updates
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Summary
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Chapter 5: Working with Indexes
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Chapter 5: Working with Indexes
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Introduction to indexes
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Creating indexes
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Understanding index operations
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The Database Engine Tuning Advisor
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Missing indexes
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Index fragmentation
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Unused indexes
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Summary
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Chapter 6: Understanding Statistics
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Chapter 6: Understanding Statistics
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Exploring statistics
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Histograms
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A new cardinality estimator
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Cardinality estimation errors
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Incremental statistics
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Statistics on computed columns
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Filtered statistics
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Statistics on ascending keys
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UPDATE STATISTICS with ROWCOUNT and PAGECOUNT
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Statistics maintenance
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Cost estimation
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Summary
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Chapter 7: In-Memory OLTP
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Chapter 7: In-Memory OLTP
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In-memory OLTP architecture
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Tables and indexes
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Natively compiled stored procedures
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Limitations and later enhancements
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Summary
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Chapter 8: Understanding Plan Caching
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Chapter 8: Understanding Plan Caching
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Batch compilation and recompilation
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Exploring the plan cache
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Understanding parameterization
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Parameter sniffing
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Parameter-sensitive plan optimization
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Summary
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Chapter 9: The Query Store
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Chapter 9: The Query Store
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Using the Query Store
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Querying the Query Store
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Summary
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Chapter 10: Intelligent Query Processing
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Chapter 10: Intelligent Query Processing
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Overview of intelligent query processing
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Memory grant feedback
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Cardinality estimation feedback
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Degree of parallelism feedback
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Interleaved execution
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Table variable deferred compilation
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Adaptive joins
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Summary
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Chapter 11: An Introduction to Data Warehouses
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Chapter 11: An Introduction to Data Warehouses
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Data warehouses
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Star join query optimization
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Columnstore indexes
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Summary
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Chapter 12: Understanding Query Hints
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Chapter 12: Understanding Query Hints
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Breaking down complex queries
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Hints
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Joins
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Aggregations
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FORCE ORDER
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The INDEX, FORCESCAN, and FORCESEEK hints
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FAST N
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The NOEXPAND and EXPAND VIEWS hints
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Plan guides
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USE PLAN
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Summary
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Why subscribe?
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Other Books You May Enjoy
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Other Books You May Enjoy
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Packt is searching for authors like you
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Parameter sniffing

In this section, we will cover the cases in which reusing a plan can create performance problems. As you saw in Chapter 6, Understanding Statistics, SQL Server can use the histogram of statistics objects to estimate the cardinality of a query and then use this information to try and produce an optimal execution plan. The query optimizer accomplishes this by inspecting the values of the query parameters. This behavior is called parameter sniffing, and it is a very good thing: getting an execution plan tailored to the current parameters of a query improves the performance of your applications. This chapter has explained that the plan cache can store these execution plans so that they can be reused the next time the same query needs to be executed. This saves optimization time and CPU resources because the query does not need to be optimized again.

However, although the query optimizer and the plan cache work well together most of the time, some performance problems...

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