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Parallel Programming and Concurrency with C# 10 and .NET 6

Parallel Programming and Concurrency with C# 10 and .NET 6

By : Alvin Ashcraft
4.1 (8)
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Parallel Programming and Concurrency with C# 10 and .NET 6

Parallel Programming and Concurrency with C# 10 and .NET 6

4.1 (8)
By: Alvin Ashcraft

Overview of this book

.NET has included managed threading capabilities since the beginning, but early techniques had inherent risks: memory leaks, thread synchronization issues, and deadlocks. This book will help you avoid those pitfalls and leverage the modern constructs available in .NET 6 and C# 10, while providing recommendations on patterns and best practices for parallelism and concurrency. Parallel, concurrent, and asynchronous programming are part of every .NET application today, and it becomes imperative for modern developers to understand how to effectively use these techniques. This book will teach intermediate-level .NET developers how to make their applications faster and more responsive with parallel programming and concurrency in .NET and C# with practical examples. The book starts with the essentials of multi-threaded .NET development and explores how the language and framework constructs have evolved along with .NET. You will later get to grips with the different options available today in .NET 6, followed by insights into best practices, debugging, and unit testing. By the end of this book, you will have a deep understanding of why, when, and how to employ parallelism and concurrency in any .NET application.
Table of Contents (18 chapters)
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1
Part 1:Introduction to Threading in .NET
6
Part 2: Parallel Programming and Concurrency with C#
12
Part 3: Advanced Concurrency Concepts

Using ConcurrentQueue

In this section, we will create a sample project that is a simplified version of a realistic scenario. We are going to create an order queuing system using ConcurrentQueue<T>. This application will be a console application that enqueues orders for two customers in parallel. We will create five orders for each customer, and to mix up the order of the queue, each customer queuing process will use a different Task.Delay between calls to Enqueue. The final output should show a mix of orders dequeued for the first customer and the second customer. Remember that ConcurrentQueue<T> employs first in, first out (FIFO) logic:

  1. Let’s start by opening Visual Studio and creating a .NET console application named ConcurrentOrderQueue.
  2. Add a new class to the project named Order:
    public class Order
    {
        public int Id { get; set; }
        public string? ItemName { get; set; }
        public int ItemQty...

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