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

You're reading from   Parallel Programming and Concurrency with C# 10 and .NET 6 A modern approach to building faster, more responsive, and asynchronous .NET applications using C#

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803243672
Length 320 pages
Edition 1st Edition
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Author (1):
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Alvin Ashcraft Alvin Ashcraft
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Alvin Ashcraft
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Introduction to Threading in .NET
2. Chapter 1: Managed Threading Concepts FREE CHAPTER 3. Chapter 2: Evolution of Multithreaded Programming in .NET 4. Chapter 3: Best Practices for Managed Threading 5. Chapter 4: User Interface Responsiveness and Threading 6. Part 2: Parallel Programming and Concurrency with C#
7. Chapter 5: Asynchronous Programming with C# 8. Chapter 6: Parallel Programming Concepts 9. Chapter 7: Task Parallel Library (TPL) and Dataflow 10. Chapter 8: Parallel Data Structures and Parallel LINQ 11. Chapter 9: Working with Concurrent Collections in .NET 12. Part 3: Advanced Concurrency Concepts
13. Chapter 10: Debugging Multithreaded Applications with Visual Studio 14. Chapter 11: Canceling Asynchronous Work 15. Chapter 12: Unit Testing Async, Concurrent, and Parallel Code 16. Assessments 17. Other Books You May Enjoy

Using ConcurrentBag

The ConcurrentBag<T> is an unordered collection of objects that can be safely added, peeked at, or removed concurrently. Keep in mind that, as with all of the concurrent collections, the methods exposed by ConcurrentBag<T> are thread-safe, but any extension methods are not guaranteed to be safe. Always implement your own synchronization when leveraging them. To review a list of safe methods, you can review this Microsoft Docs page: https://docs.microsoft.com/dotnet/api/system.collections.concurrent.concurrentbag-1#methods.

We are going to create a sample application that simulates working with a pool of objects. This scenario can be useful if you have some processing that leverages a stateful object that is memory-intensive. You want to minimize the number of objects created but cannot reuse one until the previous iteration has finished using it and returned it to the pool.

In our example, we will use a mocked-up PDF processing class that is assumed...

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