Book Image

High-Performance Programming in C# and .NET

By : Jason Alls
Book Image

High-Performance Programming in C# and .NET

By: Jason Alls

Overview of this book

Writing high-performance code while building an application is crucial, and over the years, Microsoft has focused on delivering various performance-related improvements within the .NET ecosystem. This book will help you understand the aspects involved in designing responsive, resilient, and high-performance applications with the new version of C# and .NET. You will start by understanding the foundation of high-performance code and the latest performance-related improvements in C# 10.0 and .NET 6. Next, you’ll learn how to use tracing and diagnostics to track down performance issues and the cause of memory leaks. The chapters that follow then show you how to enhance the performance of your networked applications and various ways to improve directory tasks, file tasks, and more. Later, you’ll go on to improve data querying performance and write responsive user interfaces. You’ll also discover how you can use cloud providers such as Microsoft Azure to build scalable distributed solutions. Finally, you’ll explore various ways to process code synchronously, asynchronously, and in parallel to reduce the time it takes to process a series of tasks. By the end of this C# programming book, you’ll have the confidence you need to build highly resilient, high-performance applications that meet your customer's demands.
Table of Contents (22 chapters)
1
Part 1: High-Performance Code Foundation
7
Part 2: Writing High-Performance Code
16
Part 3: Threading and Concurrency

Increasing Group By performance in LINQ queries

In this section, we will look at three different ways of performing the same Group By operation. Each way provides a different performance level. You will see by the end of this section which method is best for performing fast Group By queries. The methods that we add in this section will be added to the LinqPerformance class.

For our scenario, we want to get a list of people from a collection that all share the same name. To extract those people, we will perform a Group By operation. Then, we will extract all those for whom the group count is greater than one, and then add them to a list of people.

Let us add our three methods that use the GroupBy clause to return a list of people:

  1. Add the GroupByVersion1() method:
    [Benchmark]
    public void GroupByVersion1()
    {
    List<Person> People = _people.GroupBy(x => x.LastName)
                  .Where(x => x...