Concurrency in C# Cookbook. Asynchronous Dąbrowa Górnicza

If youre 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 its 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 .NETs Task Parallel Library Create dataflow pipelines with .NETs 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 Spis treści: Preface Who Should Read This Book Why I Wrote This Book Navigating This Book Online Resources Conventions Used in This Book Using Code Examples OReilly Online Learning How to Contact Us Acknowledgments 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 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 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 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 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 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 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 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 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 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 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 12. Synchronization 12.1. Blocking Locks 12.2. Async Locks 12.3. Blocking Signals 12.4. Async Signals 12.5. Throttling 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 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 A. Legacy Platform Support Legacy Platform Support for Async Legacy Platform Support for Dataflow Legacy Platform Support for System.Reactive B. Recognizing and Interpreting Asynchronous Patterns Task-Based Asynchronous Pattern (TAP) Asynchronous Programming Model (APM) Event-Based Asynchronous Programming (EAP) Continuation Passing Style (CPS) Custom Async Patterns ISynchronizeInvoke Index O autorze: Stephen Cleary jest doświadczonym programistą. Od samego początku tworzy oprogramowanie open source, między innymi bibliotek Boost C++. Opublikował również kilka własnych bibliotek i narzędzi.