Task.WaitAll vs. Task.WhenAll Advance Concepts in C# | HOW TO - Code Samples скачать в хорошем качестве

Task.WaitAll vs. Task.WhenAll Advance Concepts in C# | HOW TO - Code Samples

https://StartupHakk.com?v=HtYsO2iz14g #coding #codingbootcamp #softwaredeveloper #CodeYourFuture GitHub Repo: https://github.com/slthomason/Startup... Advanced Concepts: Exception Handling, Cancellation, and Performance Considerations Now that you have a good understanding of the basic usage of Task.WaitAll and Task.WhenAll, let’s dive into some advanced concepts related to exception handling, cancellation, and performance considerations when working with multiple tasks in C#. Exception Handling When working with multiple tasks, it’s crucial to handle exceptions properly. Task.WaitAll and Task.WhenAll provide different ways to handle exceptions. Task.WaitAll: If any of the tasks thrown an unhandled exception, Task.WaitAll re-throws the exception on the calling thread. You can use the aggregateException.Flatten() method to handle multiple exceptions from multiple tasks. Task.WhenAll: Returns a task that represents the completion of all the specified tasks. If any of the tasks thrown an exception, the task returned by Task.WhenAll will be faulted, and you can use the .Exception property to retrieve the exception information. Performance Considerations When working with a large number of tasks, it’s essential to consider the impact on performance and memory usage. Here are some best practices: Use the appropriate method: Task.WhenAll is generally preferred over Task.WaitAll as it provides better performance and more flexibility. Avoid creating too many tasks: Creating a large number of tasks can consume significant memory and resources. Use task grouping techniques, such as Task.WhenAll and Task.WhenAny, to manage tasks efficiently. Consider Using Parallel LINQ (PLINQ): For operations that can be parallelized easily, such as querying a database or performing a calculation on a collection, consider using PLINQ. It provides a convenient and efficient way to parallelize operations and manage the completion of tasks. Error Handling and Best Practices In addition to exception handling, it’s essential to consider other aspects of error handling and best practices when working with multiple tasks in C#. Error Propagation When an exception occurs in a task, it’s important to propagate the exception to the calling code so that it can be handled appropriately. This can be achieved using the following techniques: Propagate Exceptions Synchronously: When using Task.WaitAll or Task.WhenAll, exceptions are automatically propagated to the calling code synchronously. Propagate Exceptions Asynchronously: When using the async/await pattern, exceptions are propagated asynchronously. You can catch exceptions using a try/catch block around the await expression. Cancellation Best Practices Use Cancellation Tokens: When creating tasks, use a CancellationToken to allow the tasks to be canceled. Pass the token to the task method, and check the token periodically within the task to see if cancellation has been requested. Check the Cancellation Token Regularly: To allow tasks to be canceled promptly, regularly check the CancellationToken.IsCancellationRequested property within the task. Cancel Child Tasks: When using task groups or dependent tasks, ensure that canceling a parent task also cancels its child tasks. In Summary Task.WhenAll enables non-blocking coordination Avoid blocking calls after await WhenAll Handle aggregate exceptions from tasks Use continuations for follow-up logic Lots of Great How Tos and Code Samples! Make sure to like and subscribe!