Book Image

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

By : Alvin Ashcraft
5 (1)
Book Image

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

5 (1)
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)
1
Part 1:Introduction to Threading in .NET
6
Part 2: Parallel Programming and Concurrency with C#
12
Part 3: Advanced Concurrency Concepts

Using BlockingCollection

BlockingCollection<T> is one of the most useful concurrent collections. As we saw in Chapter 7, BlockingCollection<T> was created to be an implementation of the producer/consumer pattern for .NET. Let’s review some of the specifics of this collection before creating a different kind of sample project.

BlockingCollection details

One of the major draws of BlockingCollection<T> for developers working with parallel code implementations is that it can be swapped to replace List<T> without too many additional modifications. You can use the Add() method for both. The difference with BlockingCollection<T> is that calling Add() to add an item will block the current thread if another read or write operation is in process. If you want to specify a timeout period on the operation, you can use TryAdd(). The TryAdd() method optionally supports both timeouts and cancellation tokens.

Removing items from BlockingCollection<T...