Book Image

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

By : Alvin Ashcraft
Book Image

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

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

Converting LINQ queries to PLINQ

In this section, we will look at some additional PLINQ operators and show you how you can leverage them to turn existing LINQ queries into PLINQ queries. Your existing queries may have requirements for preserving the order of data. Perhaps your existing code doesn’t use LINQ at all. There could be an opportunity there to convert some logic in foreach loops into PLINQ operations.

The way to convert a LINQ query to a PLINQ query is by inserting an AsParallel() statement into the query, as we did in the previous section. Everything that follows AsParallel() will run in parallel until an AsSequential() statement is encountered.

If your queries require that the original order of objects be preserved, you can include an AsOrdered() statement:

var results = people.AsParallel().AsOrdered()
    .Where(p => p.LastName.StartsWith("H"));

However, this will not be as performant as queries that do not preserve...