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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

Preserving data order and merging data with PLINQ

When fine-tuning PLINQ queries for your applications, there are some extension methods that impact the sequencing of data that you can leverage. Preserving the original order of your items may be something that is required. We have touched on the AsOrdered method in this chapter, and we will experiment with it in this section. When PLINQ operations have been completed and items are returned as part of the final enumeration, the data is merged from the segments that were created to operate on multiple threads. The merge behavior can be controlled by setting ParallelMergeOptions with the WithMergeOptions extension method. We will discuss the behavior of the three available merge options provided.

Let’s get started by creating some samples with the AsOrdered and AsUnordered extension methods.

PLINQ data order samples

In this section, we will create five methods that each accept the same set of data and perform the same...

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