Book Image

Mastering C# Concurrency

Book Image

Mastering C# Concurrency

Overview of this book

Starting with the traditional approach to concurrency, you will learn how to write multithreaded concurrent programs and compose ways that won't require locking. You will explore the concepts of parallelism granularity, and fine-grained and coarse-grained parallel tasks by choosing a concurrent program structure and parallelizing the workload optimally. You will also learn how to use task parallel library, cancellations, timeouts, and how to handle errors. You will know how to choose the appropriate data structure for a specific parallel algorithm to achieve scalability and performance. Further, you'll learn about server scalability, asynchronous I/O, and thread pools, and write responsive traditional Windows and Windows Store applications. By the end of the book, you will be able to diagnose and resolve typical problems that could happen in multithreaded applications.
Table of Contents (17 chapters)
Mastering C# Concurrency
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Concurrent idioms


The .NET Framework platform contains some high-level components that make concurrent applications programming much easier. In Chapter 6, Using Concurrent Data Structures, we reviewed concurrent collections and data structures, and in Chapter 4, Task Parallel Library in Depth, and Chapter 5, C# Language Support for Asynchrony, we looked at Task Parallel Library and the C# language async/await infrastructure.

Here, we will see how TPL and C# can improve your programming experience.

Process Tasks in Completion Order

As an example task, let's consider leveraging a weather information from a service for each provided city, processing the information, and printing it to the console. The simple implementation will be like this:

public async Task UpdateWeather()
{
  var cities = new List<string> { "Los Angeles", "Seattle", "New York" };

  var tasks =
    from city in cities
    select new { City = city, WeatherTask = GetWeatherForAsync(city) };

  foreach (var entry in tasks...