0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Learn T-SQL Querying

You're reading from Learn T-SQL Querying A guide to developing efficient and elegant T-SQL code

Product type Paperback

Published in Feb 2024

Publisher Packt

ISBN-13 9781837638994

Length 456 pages

Edition 2nd Edition

Languages

SQL

Tools

SQL Server

Concepts

Database Administration

Authors (2):

Pedro Lopes

Pam Lahoud

View More author details

Table of Contents (18) Chapters

Preface

1. Part 1: Query Processing Fundamentals

2. Chapter 1: Understanding Query Processing FREE CHAPTER

3. Chapter 2: Mechanics of the Query Optimizer

4. Part 2: Dos and Don’ts of T-SQL

5. Chapter 3: Exploring Query Execution Plans

6. Chapter 4: Indexing for T-SQL Performance

7. Chapter 5: Writing Elegant T-SQL Queries

8. Chapter 6: Discovering T-SQL Anti- Patterns in Depth

9. Part 3: Assembling Our Query Troubleshooting Toolbox

10. Chapter 7: Building Diagnostic Queries Using DMVs and DMFs

11. Chapter 8: Building XEvent Profiler Traces

12. Chapter 9: Comparative Analysis of Query Plans

13. Chapter 10: Tracking Performance History with Query Store

14. Chapter 11: Troubleshooting Live Queries

15. Chapter 12: Managing Optimizer Changes

16. Index

Why subscribe?

17. Other Books You May Enjoy

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...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Pedro Lopes

Pedro Lopes

Pedro Lopes is a Program Manager in the Database Systems group, based in Redmond, WA, USA. He has over 19 years of industry experience and has been with Microsoft for 9 years. He is currently responsible for program management of Database Engine features for in-market and vNext versions of SQL Server, with a special focus on the Relational Engine. He has extensive experience with query performance troubleshooting and is a regular speaker at numerous conferences such as SQLBits, PASS Summit, SQLIntersection, Microsoft Ignite, and Microsoft Build. He blogs about SQL on the SQL Server Team blog. He has authored several tools in the Tiger toolbox on GitHub: AdaptiveIndexDefrag maintenance solution, BPCheck, and usp_WhatsUp.

See other products by Pedro Lopes

Lahoud

Lahoud

Pam Lahoud is a Program Manager in the Database Systems group, based in Redmond, WA, USA. She has been with Microsoft for 13 years and is currently responsible for program management of Database Engine features for in-market and vNext versions of SQL Server, with a special focus on the Storage Engine area. She is passionate about SQL Server performance and has focused on performance tuning and optimization, particularly from the developer's perspective, throughout her career. She is a SQL Server 2008 Microsoft Certified Master (MCM) with over 20 years of experience working with SQL Server.

See other products by Lahoud

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m