Replay Markup Language Utilities, or RML Utilities as it's more commonly known, is a suite of tools that can be used to analyze and replay SQL Server workloads. We first introduced the RML Utilities in Chapter 7, Discovering T-SQL Anti-Patterns in Depth in the Avoiding unnecessary overhead with stored procedures section where we used the ostress tool to simulate a multi-threaded workload on the server. The input to ostress can be a single query or T-SQL script, but ostress can also take a prepared trace file (either SQL Trace or XEvents) as input. This allows you to capture a workload from a production server, and then replay that workload on a test server so that you can experiment with various settings or performance tuning options, or even to test how a new version of SQL Server would perform with the same workload.
Learn T-SQL Querying
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Learn T-SQL Querying
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Overview of this book
Transact-SQL (T-SQL) is Microsoft's proprietary extension to the SQL language used with Microsoft SQL Server and Azure SQL Database. This book will be a usefu to learning the art of writing efficient T-SQL code in modern SQL Server versions as well as the Azure SQL Database.
The book will get you started with query processing fundamentals to help you write powerful, performant T-SQL queries. You will then focus on query execution plans and leverage them for troubleshooting. In later chapters, you will explain how to identify various T-SQL patterns and anti-patterns. This will help you analyze execution plans to gain insights into current performance, and determine whether or not a query is scalable. You will also build diagnostic queries using dynamic management views (DMVs) and dynamic management functions (DMFs) to address various challenges in T-SQL execution. Next, you will work with the built-in tools of SQL Server to shorten the time taken to address query performance and scalability issues. In the concluding chapters, this will guide you through implementing various features, such as Extended Events, Query Store, and Query Tuning Assistant, using hands-on examples.
By the end of the book, you will have developed the skills to determine query performance bottlenecks, avoid pitfalls, and discover the anti-patterns in use.
Table of Contents (18 chapters)
Preface
Anatomy of a Query
Understanding Query Processing
Mechanics of the Query Optimizer
Section 2: Dos and Donts of T-SQL
Exploring Query Execution Plans
Writing Elegant T-SQL Queries
Easily-Identified T-SQL Anti-Patterns
Discovering T-SQL Anti-Patterns in Depth
Section 3: Assemble Your Query Troubleshooting Toolbox
Building Diagnostic Queries Using DMVs and DMFs
Building XEvent Profiler Traces
Comparative Analysis of Query Plans
Tracking Performance History with Query Store
Troubleshooting Live Queries
Managing Optimizer Changes with the Query Tuning Assistant
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