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  • Book Overview & Buying Learn T-SQL Querying
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Learn T-SQL Querying

Learn T-SQL Querying - Second Edition

By : Pedro Lopes, Lahoud
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Learn T-SQL Querying

Learn T-SQL Querying

5 (3)
By: Pedro Lopes, Lahoud

Overview of this book

Data professionals seeking to excel in Transact-SQL for Microsoft SQL Server and Azure SQL Database often lack comprehensive resources. Learn T-SQL Querying second edition focuses on indexing queries and crafting elegant T-SQL code enabling data professionals gain mastery in modern SQL Server versions (2022) and Azure SQL Database. The book covers new topics like logical statement processing flow, data access using indexes, and best practices for tuning T-SQL queries. Starting with query processing fundamentals, the book lays a foundation for writing performant T-SQL queries. You’ll explore the mechanics of the Query Optimizer and Query Execution Plans, learning to analyze execution plans for insights into current performance and scalability. Using dynamic management views (DMVs) and dynamic management functions (DMFs), you’ll build diagnostic queries. The book covers indexing and delves into SQL Server’s built-in tools to expedite resolution of T-SQL query performance and scalability issues. Hands-on examples will guide you to avoid UDF pitfalls and understand features like predicate SARGability, Query Store, and Query Tuning Assistant. By the end of this book, you‘ll have developed the ability to identify query performance bottlenecks, recognize anti-patterns, and avoid pitfalls
Table of Contents (18 chapters)
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1
Part 1: Query Processing Fundamentals
4
Part 2: Dos and Don’ts of T-SQL
9
Part 3: Assembling Our Query Troubleshooting Toolbox

Summary

In this chapter, we reviewed a few T-SQL anti-patterns, such as SELECT * syntax, OR logic, and functions in our predicates, that are relatively easy to find simply by looking at our T-SQL code and how it is written. The scenarios covered in this chapter are some of the most common examples of patterns that prevent our T-SQL queries from scaling well and maintaining the expected level of performance throughout the lifetime of the application. All are easy to detect, and most have easy workarounds. Therefore, when writing queries, try to avoid these anti-patterns by leveraging some of the techniques we outlined here.

In the next chapter, we will investigate some T-SQL anti-patterns that are a bit more difficult to identify as they require some additional research beyond simply reading the code.

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Learn T-SQL Querying
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