Book Image

High-Performance Programming in C# and .NET

By : Jason Alls
Book Image

High-Performance Programming in C# and .NET

By: Jason Alls

Overview of this book

Writing high-performance code while building an application is crucial, and over the years, Microsoft has focused on delivering various performance-related improvements within the .NET ecosystem. This book will help you understand the aspects involved in designing responsive, resilient, and high-performance applications with the new version of C# and .NET. You will start by understanding the foundation of high-performance code and the latest performance-related improvements in C# 10.0 and .NET 6. Next, you’ll learn how to use tracing and diagnostics to track down performance issues and the cause of memory leaks. The chapters that follow then show you how to enhance the performance of your networked applications and various ways to improve directory tasks, file tasks, and more. Later, you’ll go on to improve data querying performance and write responsive user interfaces. You’ll also discover how you can use cloud providers such as Microsoft Azure to build scalable distributed solutions. Finally, you’ll explore various ways to process code synchronously, asynchronously, and in parallel to reduce the time it takes to process a series of tasks. By the end of this C# programming book, you’ll have the confidence you need to build highly resilient, high-performance applications that meet your customer's demands.
Table of Contents (22 chapters)
1
Part 1: High-Performance Code Foundation
7
Part 2: Writing High-Performance Code
16
Part 3: Threading and Concurrency

Chapter 10: Setting Up Our Database Project

In this and the following two chapters, we will be improving the performance of your database-based applications. In this chapter, we will be setting up our relational database and the code to access that database. In the next chapter, we will write benchmarks to test the performance of the different frameworks, which consist of Entity Framework, Dapper, and ADO.NET. Finally, in Chapter 12, Responsive User Interfaces, we will learn how to improve the performance of SQL Server and Cosmos DB.

Data is extensively used in all aspects of our daily lives. In today's world of big data, the volume of data being collected and stored for all kinds of analysis is phenomenal. When working with data, performance can slow down exponentially as the size of your data grows. And depending on how much data you have to process, time is often critical.

In this chapter, we will create a database and populate it, and we will write the code to access...