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

The benchmarking results and their analysis

Before we analyze the results, it is worth noting some big data statistics from 2020. Google gets more than 40,000 queries per second. This equates to 3,456,000,000 queries per day. There are 65,000,000,000 WhatsApp business app messages sent per day. In the course of 24 hours, there are 1,440 minutes, which is 86,400 seconds, which is 86,400,000 milliseconds.

Here is our benchmark summary report:

Figure 11.1 – Data access benchmark summary

Let's discuss the insert statements first. The results are as follows:

  • InsertProductDDNSP = 1.841 ms
  • InsertProductADNSP = 1.894 ms
  • InsertProductDDN = 2.058 ms
  • InsertProductADN = 2.092 ms
  • InsertProductEF = 2.196 ms
  • InsertProductEFSP = 396.509 ms

From the summary, we can see that the best-performing insert statement is the Dapper.NET stored procedure insert, taking approximately 1.841 ms to execute, followed by InsertProductADNSP...