我的理解是,如果我使用异步,该线程会发出Web请求并继续前进。当响应返回时,另一个线程从那里拾取它。因此,有较少数量的捆绑线程处于空闲状态。 这不意味着最大活线程数会下降吗?但是在下面的示例中,不使用异步的代码最终使用较少数量的线程。有人可以解释原因吗?
没有异步的代码(使用较少的线程):
using System;
using System.Diagnostics;
using System.IO;
using System.Net;
using System.Threading;
namespace NoAsync
{
internal class Program
{
private const int totalCalls = 100;
private static void Main(string[] args)
{
for (int i = 1; i <= totalCalls; i++)
{
ThreadPool.QueueUserWorkItem(GoogleSearch, i);
}
Thread.Sleep(100000);
}
private static void GoogleSearch(object searchTerm)
{
Thread.CurrentThread.IsBackground = false;
string url = @"https://www.google.com/search?q=" + searchTerm;
Console.WriteLine("Total number of threads in use={0}", Process.GetCurrentProcess().Threads.Count);
WebRequest wr = WebRequest.Create(url);
var httpWebResponse = (HttpWebResponse) wr.GetResponse();
var reader = new StreamReader(httpWebResponse.GetResponseStream());
string responseFromServer = reader.ReadToEnd();
//Console.WriteLine(responseFromServer); // Display the content.
httpWebResponse.Close();
Console.WriteLine("Total number of threads in use={0}", Process.GetCurrentProcess().Threads.Count);
}
}
}
使用异步代码(使用更多线程)
using System;
using System.Diagnostics;
using System.Net.Http;
using System.Threading;
using System.Threading.Tasks;
using System.Collections.Generic;
namespace AsyncAwait
{
internal class Program
{
private const int totalCalls = 100;
private static DateTime start = System.DateTime.Now;
private static void Main(string[] args)
{
var tasks = new List<Task>();
for (int i = 1; i <= totalCalls; i++)
{
var searchTerm = i;
var t = GoogleSearch(searchTerm);
tasks.Add(t);
}
Task.WaitAll(tasks.ToArray());
Console.WriteLine("Hit Enter to exit");
Console.ReadLine();
}
private static async Task GoogleSearch(object searchTerm)
{
Thread.CurrentThread.IsBackground = false;
string url = @"https://www.google.com/search?q=" + searchTerm;
Console.WriteLine("Total number of threads in use={0}", Process.GetCurrentProcess().Threads.Count);
using (var client = new HttpClient())
{
using (HttpResponseMessage response = await client.GetAsync(url))
{
HttpContent content = response.Content;
content.Dispose();
Console.WriteLine("Total number of threads in use={0}", Process.GetCurrentProcess().Threads.Count);
Console.WriteLine("TimeSpan consumed {0}", System.DateTime.Now.Subtract(start));
}
}
}
}
}
我明白我的结果包括非托管线程。但是线程总数不应该更低吗?
更新:我使用Noseratio提供的代码更新了异步调用
答案 0 :(得分:8)
ThreadPool
实际上维护了两个子池,一个用于工作线程,另一个用于IOCP线程。当GetAsync
的结果可用时,将从池中分配随机IOCP线程(I / O完成端口)以处理异步HTTP请求的完成。那个await
之后的代码被执行的地方。您可以使用ThreadPool.SetMinThreads/SetMaxThreads
控制每个子池的大小,有关此内容的更多信息。
原样,您的非异步代码很难与异步版本进行比较。为了更公平的比较,你应该坚持WebRequest
两种情况,例如:
<强>非异步:强>
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.IO;
using System.Net;
using System.Threading;
using System.Threading.Tasks;
namespace NoAsync
{
internal class Program
{
private const int totalCalls = 100;
private static void Main(string[] args)
{
int maxWorkers, maxIOCPs;
ThreadPool.GetMaxThreads(out maxWorkers, out maxIOCPs);
int minWorkers, minIOCPs;
ThreadPool.GetMinThreads(out minWorkers, out minIOCPs);
Console.WriteLine(new { maxWorkers, maxIOCPs, minWorkers, minIOCPs });
ThreadPool.SetMinThreads(100, 100);
var tasks = new List<Task>();
for (int i = 1; i <= totalCalls; i++)
tasks.Add(Task.Run(() => GoogleSearch(i)));
Task.WaitAll(tasks.ToArray());
}
private static void GoogleSearch(object searchTerm)
{
string url = @"https://www.google.com/search?q=" + searchTerm;
Console.WriteLine("Total number of threads in use={0}", Process.GetCurrentProcess().Threads.Count);
WebRequest wr = WebRequest.Create(url);
var httpWebResponse = (HttpWebResponse)wr.GetResponse();
var reader = new StreamReader(httpWebResponse.GetResponseStream());
string responseFromServer = reader.ReadToEnd();
//Console.WriteLine(responseFromServer); // Display the content.
reader.Close();
httpWebResponse.Close();
Console.WriteLine("Total number of threads in use={0}", Process.GetCurrentProcess().Threads.Count);
}
}
}
<强>异步强>:
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.IO;
using System.Net;
using System.Threading;
using System.Threading.Tasks;
namespace Async
{
internal class Program
{
private const int totalCalls = 100;
private static void Main(string[] args)
{
int maxWorkers, maxIOCPs;
ThreadPool.GetMaxThreads(out maxWorkers, out maxIOCPs);
int minWorkers, minIOCPs;
ThreadPool.GetMinThreads(out minWorkers, out minIOCPs);
Console.WriteLine(new { maxWorkers, maxIOCPs, minWorkers, minIOCPs });
ThreadPool.SetMinThreads(100, 100);
var tasks = new List<Task>();
for (int i = 1; i <= totalCalls; i++)
tasks.Add(GoogleSearch(i));
Task.WaitAll(tasks.ToArray());
}
private static async Task GoogleSearch(object searchTerm)
{
string url = @"https://www.google.com/search?q=" + searchTerm;
Console.WriteLine("Total number of threads in use={0}", Process.GetCurrentProcess().Threads.Count);
WebRequest wr = WebRequest.Create(url);
var httpWebResponse = (HttpWebResponse) await wr.GetResponseAsync();
var reader = new StreamReader(httpWebResponse.GetResponseStream());
string responseFromServer = await reader.ReadToEndAsync();
//Console.WriteLine(responseFromServer); // Display the content.
reader.Close();
httpWebResponse.Close();
Console.WriteLine("Total number of threads in use={0}", Process.GetCurrentProcess().Threads.Count);
}
}
}
默认情况下,我在系统上看到以下数据:
{ maxWorkers = 32767, maxIOCPs = 1000, minWorkers = 4, minIOCPs = 4 }
线程池在增长线程时 lazy 。新的线程创建可以延迟最多500ms(有关更多详细信息,请查看Joe Duffy的"CLR thread pool injection, stuttering problems")。
要解决此问题,请使用ThreadPool.SetMinThreads
。使用SetMinThreads(100, 100)
, sync 版本的峰值 ~111个线程, async 版本的峰值约为20个线程 (发布版本,无需调试器即可运行)。代表异步版本,这是一个非常具有指示性的差异。