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High-Performance Programming in C# and .NET

You're reading from   High-Performance Programming in C# and .NET Understand the nuts and bolts of developing robust, faster, and resilient applications in C# 10.0 and .NET 6

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781800564718
Length 660 pages
Edition 1st Edition
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Author (1):
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Jason Alls Jason Alls
Author Profile Icon Jason Alls
Jason Alls
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Table of Contents (22) Chapters Close

Preface 1. Part 1: High-Performance Code Foundation
2. Chapter 1: Introducing C# 10.0 and .NET 6 FREE CHAPTER 3. Chapter 2: Implementing C# Interoperability 4. Chapter 3: Predefined Data Types and Memory Allocations 5. Chapter 4: Memory Management 6. Chapter 5: Application Profiling and Tracing 7. Part 2: Writing High-Performance Code
8. Chapter 6: The .NET Collections 9. Chapter 7: LINQ Performance 10. Chapter 8: File and Stream I/O 11. Chapter 9: Enhancing the Performance of Networked Applications 12. Chapter 10: Setting Up Our Database Project 13. Chapter 11: Benchmarking Relational Data Access Frameworks 14. Chapter 12: Responsive User Interfaces 15. Chapter 13: Distributed Systems 16. Part 3: Threading and Concurrency
17. Chapter 14: Multi-Threaded Programming 18. Chapter 15: Parallel Programming 19. Chapter 16: Asynchronous Programming 20. Assessments 21. Other Books You May Enjoy

Preventing memory leaks

In this section, we will understand the issues around COM objects and what can lead to memory leaks using COM objects. We will look at interoping with the Excel COM library for our example code. We will see how instances of Excel are kept alive after our code exits. By using Windows Task Manager, we will be able to see instances of Excel being generated. Our Excel code will be developed in such a way as to avoid memory leaks and ensure that every Excel instance is closed when our code has completed running so that no instances of Excel remain in memory.

We will then move on to look at how using events can be a common source of memory leaks at runtime and how we can avoid them. Using JetBrains dotMemory, we will profile a runtime build executable of our program code. As the code is running, we will generate snapshots. As the profiler runs, you will see the memory usage gradually climbing. Clicking on the snapshots will display detailed memory information for...

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