introduction
In modern application development, it is becoming increasingly common to handle large amounts of data or long-running tasks. Traditional synchronization processing may lead to performance bottlenecks and waste of resources. C# 8.0 introduces asynchronous streams (Async Streams) to solve these problems. Asynchronous streams allow you to process sequence data asynchronously, thereby improving program responsiveness and performance. This article will introduce in detail the asynchronous flow in C#, including its basic concepts, usage methods and application scenarios.
The basic concept of asynchronous flow
What is asynchronous stream?
Asynchronous streams are a special enumeration type that allows you to generate and consume sequence data asynchronously. Asynchronous flow usageIAsyncEnumerable<T>
The interface is used to represent that the interface provides an asynchronous version ofGetEnumerator
Method, return aIAsyncEnumerator<T>
Object.
IAsyncEnumerable<T> and IAsyncEnumerator<T>
-
IAsyncEnumerable<T>
: Represents a collection of asynchronous enumerations. -
IAsyncEnumerator<T>
: Represents an asynchronous enumerator that provides asynchronousMoveNextAsync
andGetCurrent
method.
Define and use asynchronous streams
Define asynchronous flow
Use of methods for defining asynchronous flowasync IAsyncEnumerable<T>
Return type and use it in the method bodyyield return
The statement generates asynchronous data.
public async IAsyncEnumerable<int> GenerateNumbersAsync(int count) { for (int i = 0; i < count; i++) { await (100); // Simulate asynchronous operations yield return i; } }
Using asynchronous streams
When using asynchronous streams, you can useawait foreach
Loop to traverse data asynchronously.
public class Program { public static async Task Main() { await foreach (int number in GenerateNumbersAsync(10)) { (number); } } public static async IAsyncEnumerable<int> GenerateNumbersAsync(int count) { for (int i = 0; i < count; i++) { await (100); // Simulate asynchronous operations yield return i; } } }
Application scenarios
Data processing
Asynchronous streams are ideal for handling large amounts of data, especially when the data comes from an external source such as a network or disk.
public async IAsyncEnumerable<string> ReadLinesFromFileAsync(string filePath) { using (var reader = new StreamReader(filePath)) { string line; while ((line = await ()) != null) { yield return line; } } } public class Program { public static async Task Main() { await foreach (string line in ReadLinesFromFileAsync("")) { (line); } } }
Concurrent processing
Asynchronous flow can be used withUse in concurrent processing.
public async IAsyncEnumerable<int> GenerateNumbersAsync(int count) { for (int i = 0; i < count; i++) { await (100); // Simulate asynchronous operations yield return i; } } public class Program { public static async Task Main() { await (GenerateNumbersAsync(10), async (number, cancellationToken) => { await ProcessNumberAsync(number); }); } public static async Task ProcessNumberAsync(int number) { await (50); // Simulate asynchronous processing ($"Processed number: {number}"); } }
Best Practices
Avoid unnecessary synchronization operations
In asynchronous streams, try to avoid using synchronous operations to maintain the advantages of asynchronous.
Handle exceptions
In asynchronous streams, possible exceptions should be properly handled to prevent program crashes.
public async IAsyncEnumerable<int> GenerateNumbersAsync(int count) { for (int i = 0; i < count; i++) { try { await (100); // Simulate asynchronous operations yield return i; } catch (Exception ex) { ($"Error generating number: {}"); } } }
Cancel operation
Asynchronous streams support cancellation operations, which can be passedCancellationToken
Standards are implemented.
public async IAsyncEnumerable<int> GenerateNumbersAsync(int count, [EnumeratorCancellation] CancellationToken cancellationToken) { for (int i = 0; i < count; i++) { (); await (100, cancellationToken); // Simulate asynchronous operations yield return i; } } public class Program { public static async Task Main() { var cts = new CancellationTokenSource(); (500); // Cancel after 500 milliseconds try { await foreach (int number in GenerateNumbersAsync(10, )) { (number); } } catch (OperationCanceledException) { ("Operation was canceled."); } } }
in conclusion
By using asynchronous streams, sequence data can be processed efficiently, improving program responsiveness and performance. Asynchronous streams are especially suitable for handling large amounts of data or long-running tasks.
This is the introduction to this article about the detailed explanation of how C# uses asynchronous streams to efficiently process sequence data. For more related contents of C# asynchronous streams, please search for my previous articles or continue browsing the related articles below. I hope everyone will support me in the future!