Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Learn T-SQL Querying
  • Table Of Contents Toc
Learn T-SQL Querying

Learn T-SQL Querying - Second Edition

By : Pedro Lopes, Pam Lahoud
5 (3)
close
close
Learn T-SQL Querying

Learn T-SQL Querying

5 (3)
By: Pedro Lopes, Pam 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)
close
close
1
Part 1: Query Processing Fundamentals
4
Part 2: Dos and Don’ts of T-SQL
9
Part 3: Assembling Our Query Troubleshooting Toolbox

Managing Optimizer Changes

In this chapter, we will discuss how users can manage Query Optimizer changes throughout versions of the SQL Database Engine. We will cover a client-side feature in SQL Server Management Studio (SSMS) – the Query Tuning Assistant (QTA) – and a new feature for the SQL Server 2022 release – CE Feedback. Both features aim at addressing some of the most common causes of cardinality estimation (CE)-related performance regressions that may affect our T-SQL queries after an upgrade from an older version of SQL Server to a newer version, namely SQL Server 2016 and above.

At the time of writing, SQL Server 2014 is months away from completing its 10-year life cycle and reaching end of support. Also, SQL Server 2016 and SQL Server 2017 no longer have mainstream support. This can raise concerns for all those still running applications supported by these legacy SQL Server versions.

However, modernizing the database platform (a synonym for upgrading...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Learn T-SQL Querying
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon