If you’re one of many developers still uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 85 code-rich recipes in this updated second edition, author Stephen Cleary demonstrates parallel processing and asynchronous programming techniques using libraries and language features in .NET and C# 8.0.
Concurrency is now more common in responsive and scalable application development, but it’s still extremely difficult to code. The detailed solutions in this cookbook show you how modern tools raise the level of abstraction, making concurrency much easier than before. Complete with ready-to-use code and discussions about how and why solutions work, these recipes help you:
• Get up to speed on concurrency and async and parallel programming
• Use async and await for asynchronous operations
• Enhance your code with asynchronous streams
• Explore parallel programming with .NET’s Task Parallel Library
• Create dataflow pipelines with .NET’s TPL Dataflow library
• Understand the capabilities that System.Reactive builds on top of LINQ
• Utilize threadsafe and immutable collections
• Learn how to conduct unit testing with concurrent code
• Make the thread pool work for you
• Enable clean, cooperative cancellation
• Examine scenarios for combining concurrent approaches
• Dive into asynchronous-friendly object-oriented programming
• Recognize and write adapters for code using older asynchronous styles
Author(s): Stephen Cleary
Edition: 2
Publisher: O'Reilly Media
Year: 2019
Language: English
Commentary: True PDF
Pages: 254
City: Sebastopol, CA
Tags: Multithreading; C#; Concurrency; Functional Programming; Asynchronous Programming; Parallel Programming; Reactive Programming; Object-Oriented Programming; Unit Testing; Testing; Scheduling
Copyright
Table of Contents
Preface
Chapter 1. Concurrency: An Overview
Introduction to Concurrency
Introduction to Asynchronous Programming
Introduction to Parallel Programming
Introduction to Reactive Programming (Rx)
Introduction to Dataflows
Introduction to Multithreaded Programming
Collections for Concurrent Applications
Modern Design
Summary of Key Technologies
Chapter 2. Async Basics
2.1 Pausing for a Period of Time
2.2 Returning Completed Tasks
2.3 Reporting Progress
2.4 Waiting for a Set of Tasks to Complete
2.5 Waiting for Any Task to Complete
2.6 Processing Tasks as They Complete
2.7 Avoiding Context for Continuations
2.8 Handling Exceptions from async Task Methods
2.9 Handling Exceptions from async void Methods
2.10 Creating a ValueTask
2.11 Consuming a ValueTask
Chapter 3. Asynchronous Streams
Asynchronous Streams and Task
Asynchronous Streams and IEnumerable
Asynchronous Streams and Task>
Asynchronous Streams and IObservable
Summary
3.1 Creating Asynchronous Streams
3.2 Consuming Asynchronous Streams
3.3 Using LINQ with Asynchronous Streams
3.4 Asynchronous Streams and Cancellation
Chapter 4. Parallel Basics
4.1 Parallel Processing of Data
4.2 Parallel Aggregation
4.3 Parallel Invocation
4.4 Dynamic Parallelism
4.5 Parallel LINQ
Chapter 5. Dataflow Basics
5.1 Linking Blocks
5.2 Propagating Errors
5.3 Unlinking Blocks
5.4 Throttling Blocks
5.5 Parallel Processing with Dataflow Blocks
5.6 Creating Custom Blocks
Chapter 6. System.Reactive Basics
6.1 Converting .NET Events
6.2 Sending Notifications to a Context
6.3 Grouping Event Data with Windows and Buffers
6.4 Taming Event Streams with Throttling and Sampling
6.5 Timeouts
Chapter 7. Testing
7.1 Unit Testing async Methods
7.2 Unit Testing async Methods Expected to Fail
7.3 Unit Testing async void Methods
7.4 Unit Testing Dataflow Meshes
7.5 Unit Testing System.Reactive Observables
7.6 Unit Testing System.Reactive Observables with Faked Scheduling
Chapter 8. Interop
8.1 Async Wrappers for “Async” Methods with “Completed” Events
8.2 Async Wrappers for “Begin/End” Methods
8.3 Async Wrappers for Anything
8.4 Async Wrappers for Parallel Code
8.5 Async Wrappers for System.Reactive Observables
8.6 System.Reactive Observable Wrappers for async Code
8.7 Asynchronous Streams and Dataflow Meshes
8.8 System.Reactive Observables and Dataflow Meshes
8.9 Converting System.Reactive Observables to Asynchronous Streams
Chapter 9. Collections
9.1 Immutable Stacks and Queues
9.2 Immutable Lists
9.3 Immutable Sets
9.4 Immutable Dictionaries
9.5 Threadsafe Dictionaries
9.6 Blocking Queues
9.7 Blocking Stacks and Bags
9.8 Asynchronous Queues
9.9 Throttling Queues
9.10 Sampling Queues
9.11 Asynchronous Stacks and Bags
9.12 Blocking/Asynchronous Queues
Chapter 10. Cancellation
10.1 Issuing Cancellation Requests
10.2 Responding to Cancellation Requests by Polling
10.3 Canceling Due to Timeouts
10.4 Canceling async Code
10.5 Canceling Parallel Code
10.6 Canceling System.Reactive Code
10.7 Canceling Dataflow Meshes
10.8 Injecting Cancellation Requests
10.9 Interop with Other Cancellation Systems
Chapter 11. Functional-Friendly OOP
11.1 Async Interfaces and Inheritance
11.2 Async Construction: Factories
11.3 Async Construction: The Asynchronous Initialization Pattern
11.4 Async Properties
11.5 Async Events
11.6 Async Disposal
Chapter 12. Synchronization
12.1 Blocking Locks
12.2 Async Locks
12.3 Blocking Signals
12.4 Async Signals
12.5 Throttling
Chapter 13. Scheduling
13.1 Scheduling Work to the Thread Pool
13.2 Executing Code with a Task Scheduler
13.3 Scheduling Parallel Code
13.4 Dataflow Synchronization Using Schedulers
Chapter 14. Scenarios
14.1 Initializing Shared Resources
14.2 System.Reactive Deferred Evaluation
14.3 Asynchronous Data Binding
14.4 Implicit State
14.5 Identical Synchronous and Asynchronous Code
14.6 Railway Programming with Dataflow Meshes
14.7 Throttling Progress Updates
Appendix A. Legacy Platform Support
Appendix B. Recognizing and Interpreting Asynchronous Patterns
Index
About the Author
