WCF性能、延迟和可伸缩性
本文关键字:可伸缩性 延迟 性能 WCF | 更新日期: 2023-09-27 18:10:54
我正在尝试将一个简单的f#异步TCP服务器移植到c# 4。服务器接收到一个连接,读取一个请求,并在关闭连接之前返回一系列响应。
c# 4中的Async看起来乏味且容易出错,所以我想我会尝试使用WCF代替。这个服务器不太可能同时看到1000个请求,所以我认为吞吐量和延迟都是值得关注的。 我用c#写了一个最小的双工WCF web服务和控制台客户端。虽然我使用WCF代替原始套接字,但这已经是175行代码,而原始代码是80行。但是我更关心性能和可伸缩性:- 延迟是154×
- 吞吐量为54×
- TCP可以轻松处理1,000个同时连接,但WCF仅阻塞20个。
首先,我使用默认设置的一切,所以我想知道是否有什么我可以调整,以提高这些性能数据?
其次,我想知道是否有人使用WCF的这种事情,或者如果它是错误的工具的工作?
这是我用c#编写的WCF服务器:
IService1.cs
[DataContract]
public class Stock
{
[DataMember]
public DateTime FirstDealDate { get; set; }
[DataMember]
public DateTime LastDealDate { get; set; }
[DataMember]
public DateTime StartDate { get; set; }
[DataMember]
public DateTime EndDate { get; set; }
[DataMember]
public decimal Open { get; set; }
[DataMember]
public decimal High { get; set; }
[DataMember]
public decimal Low { get; set; }
[DataMember]
public decimal Close { get; set; }
[DataMember]
public decimal VolumeWeightedPrice { get; set; }
[DataMember]
public decimal TotalQuantity { get; set; }
}
[ServiceContract(CallbackContract = typeof(IPutStock))]
public interface IStock
{
[OperationContract]
void GetStocks();
}
public interface IPutStock
{
[OperationContract]
void PutStock(Stock stock);
}
Service1.svc
<%@ ServiceHost Language="C#" Debug="true" Service="DuplexWcfService2.Stocks" CodeBehind="Service1.svc.cs" %>
Service1.svc.cs
[ServiceBehavior(ConcurrencyMode = ConcurrencyMode.Multiple)]
public class Stocks : IStock
{
IPutStock callback;
#region IStock Members
public void GetStocks()
{
callback = OperationContext.Current.GetCallbackChannel<IPutStock>();
Stock st = null;
st = new Stock
{
FirstDealDate = System.DateTime.Now,
LastDealDate = System.DateTime.Now,
StartDate = System.DateTime.Now,
EndDate = System.DateTime.Now,
Open = 495,
High = 495,
Low = 495,
Close = 495,
VolumeWeightedPrice = 495,
TotalQuantity = 495
};
for (int i=0; i<1000; ++i)
callback.PutStock(st);
}
#endregion
}
Web.config
<?xml version="1.0"?>
<configuration>
<system.web>
<compilation debug="true" targetFramework="4.0" />
</system.web>
<system.serviceModel>
<services>
<service name="DuplexWcfService2.Stocks">
<endpoint address="" binding="wsDualHttpBinding" contract="DuplexWcfService2.IStock">
<identity>
<dns value="localhost"/>
</identity>
</endpoint>
<endpoint address="mex" binding="mexHttpBinding" contract="IMetadataExchange"/>
</service>
</services>
<behaviors>
<serviceBehaviors>
<behavior>
<serviceMetadata httpGetEnabled="true"/>
<serviceDebug includeExceptionDetailInFaults="true"/>
</behavior>
</serviceBehaviors>
</behaviors>
<serviceHostingEnvironment multipleSiteBindingsEnabled="true" />
</system.serviceModel>
<system.webServer>
<modules runAllManagedModulesForAllRequests="true"/>
</system.webServer>
</configuration>
下面是c# WCF客户端:
Program.cs
[CallbackBehavior(ConcurrencyMode = ConcurrencyMode.Multiple, UseSynchronizationContext = false)]
class Callback : DuplexWcfService2.IStockCallback
{
System.Diagnostics.Stopwatch timer;
int n;
public Callback(System.Diagnostics.Stopwatch t)
{
timer = t;
n = 0;
}
public void PutStock(DuplexWcfService2.Stock st)
{
++n;
if (n == 1)
Console.WriteLine("First result in " + this.timer.Elapsed.TotalSeconds + "s");
if (n == 1000)
Console.WriteLine("1,000 results in " + this.timer.Elapsed.TotalSeconds + "s");
}
}
class Program
{
static void Test(int i)
{
var timer = System.Diagnostics.Stopwatch.StartNew();
var ctx = new InstanceContext(new Callback(timer));
var proxy = new DuplexWcfService2.StockClient(ctx);
proxy.GetStocks();
Console.WriteLine(i + " connected");
}
static void Main(string[] args)
{
for (int i=0; i<10; ++i)
{
int j = i;
new System.Threading.Thread(() => Test(j)).Start();
}
}
}
这是我在f#中的异步TCP客户端和服务器代码:
type AggregatedDeals =
{
FirstDealTime: System.DateTime
LastDealTime: System.DateTime
StartTime: System.DateTime
EndTime: System.DateTime
Open: decimal
High: decimal
Low: decimal
Close: decimal
VolumeWeightedPrice: decimal
TotalQuantity: decimal
}
let read (stream: System.IO.Stream) = async {
let! header = stream.AsyncRead 4
let length = System.BitConverter.ToInt32(header, 0)
let! body = stream.AsyncRead length
let fmt = System.Runtime.Serialization.Formatters.Binary.BinaryFormatter()
use stream = new System.IO.MemoryStream(body)
return fmt.Deserialize(stream)
}
let write (stream: System.IO.Stream) value = async {
let body =
let fmt = System.Runtime.Serialization.Formatters.Binary.BinaryFormatter()
use stream = new System.IO.MemoryStream()
fmt.Serialize(stream, value)
stream.ToArray()
let header = System.BitConverter.GetBytes body.Length
do! stream.AsyncWrite header
do! stream.AsyncWrite body
}
let endPoint = System.Net.IPEndPoint(System.Net.IPAddress.Loopback, 4502)
let server() = async {
let listener = System.Net.Sockets.TcpListener(endPoint)
listener.Start()
while true do
let client = listener.AcceptTcpClient()
async {
use stream = client.GetStream()
let! _ = stream.AsyncRead 1
for i in 1..1000 do
let aggregatedDeals =
{
FirstDealTime = System.DateTime.Now
LastDealTime = System.DateTime.Now
StartTime = System.DateTime.Now
EndTime = System.DateTime.Now
Open = 1m
High = 1m
Low = 1m
Close = 1m
VolumeWeightedPrice = 1m
TotalQuantity = 1m
}
do! write stream aggregatedDeals
} |> Async.Start
}
let client() = async {
let timer = System.Diagnostics.Stopwatch.StartNew()
use client = new System.Net.Sockets.TcpClient()
client.Connect endPoint
use stream = client.GetStream()
do! stream.AsyncWrite [|0uy|]
for i in 1..1000 do
let! _ = read stream
if i=1 then lock stdout (fun () ->
printfn "First result in %fs" timer.Elapsed.TotalSeconds)
lock stdout (fun () ->
printfn "1,000 results in %fs" timer.Elapsed.TotalSeconds)
}
do
server() |> Async.Start
seq { for i in 1..100 -> client() }
|> Async.Parallel
|> Async.RunSynchronously
|> ignore
WCF为几乎所有默认值选择非常安全的值。这遵循了不要让新手开发者开枪自杀的原则。但是,如果您知道要更改的限制和要使用的绑定,则可以获得合理的性能和可伸缩性。
在我的核心i5-2400(四核,无超线程,3.10 GHz)上,下面的解决方案将运行1000个客户端,每个客户端有1000个回调,平均总运行时间为20秒。
不幸的是,我不能让你的f#程序运行直接比较。如果你在你的机器上运行我的解决方案,你能发布一些f#和c# WCF性能比较数字吗?
免责声明 :下面是一个概念证明。有些设置对生产环境没有意义。
我做了:
- 删除了双工绑定,并让客户端创建自己的双工绑定接收回调的服务主机。这就是a双面绑定是在幕后进行的。(这也是普拉提的建议)
- 将绑定更改为netTcpBinding。
- 更改的节流值:
- WCF: maxConcurrentCalls, maxconcurrentssessions,maxConcurrentInstances全部设置为1000
- TCP绑定:maxConnections=1000
- 线程池:最小工作线程数= 1000,最小IO线程数= 2000
请注意,在这个原型中,所有的服务和客户端都在同一个App Domain中,并且共享同一个线程池。
我的收获:
- 当客户端收到"无法建立连接,因为目标机器主动拒绝它"异常时
- 可能的原因:
- WCF已达到限值
- TCP限制已达到 没有可用的I/O线程来处理调用。
- 可能的原因:
- #3的解决方案是:
- 增加最小IO线程数- or -
- 让StockService在工作线程上做回调(这确实增加了总运行时间)
在i5-2400内核上运行的程序输出。请注意,计时器的使用方式与原始问题中的不同(请参阅代码)。
All client hosts open.
Service Host opened. Starting timer...
Press ENTER to close the host one you see 'ALL DONE'.
Client #100 completed 1,000 results in 0.0542168 s
Client #200 completed 1,000 results in 0.0794684 s
Client #300 completed 1,000 results in 0.0673078 s
Client #400 completed 1,000 results in 0.0527753 s
Client #500 completed 1,000 results in 0.0581796 s
Client #600 completed 1,000 results in 0.0770291 s
Client #700 completed 1,000 results in 0.0681298 s
Client #800 completed 1,000 results in 0.0649353 s
Client #900 completed 1,000 results in 0.0714947 s
Client #1000 completed 1,000 results in 0.0450857 s
ALL DONE. Total number of clients: 1000 Total runtime: 19323 msec
在一个控制台应用程序文件中编写所有代码:
using System;
using System.Collections.Generic;
using System.ServiceModel;
using System.Diagnostics;
using System.Threading;
using System.Runtime.Serialization;
namespace StockApp
{
[DataContract]
public class Stock
{
[DataMember]
public DateTime FirstDealDate { get; set; }
[DataMember]
public DateTime LastDealDate { get; set; }
[DataMember]
public DateTime StartDate { get; set; }
[DataMember]
public DateTime EndDate { get; set; }
[DataMember]
public decimal Open { get; set; }
[DataMember]
public decimal High { get; set; }
[DataMember]
public decimal Low { get; set; }
[DataMember]
public decimal Close { get; set; }
[DataMember]
public decimal VolumeWeightedPrice { get; set; }
[DataMember]
public decimal TotalQuantity { get; set; }
}
[ServiceContract]
public interface IStock
{
[OperationContract(IsOneWay = true)]
void GetStocks(string address);
}
[ServiceContract]
public interface IPutStock
{
[OperationContract(IsOneWay = true)]
void PutStock(Stock stock);
}
[ServiceBehavior(InstanceContextMode = InstanceContextMode.PerCall)]
public class StocksService : IStock
{
public void SendStocks(object obj)
{
string address = (string)obj;
ChannelFactory<IPutStock> factory = new ChannelFactory<IPutStock>("CallbackClientEndpoint");
IPutStock callback = factory.CreateChannel(new EndpointAddress(address));
Stock st = null; st = new Stock
{
FirstDealDate = System.DateTime.Now,
LastDealDate = System.DateTime.Now,
StartDate = System.DateTime.Now,
EndDate = System.DateTime.Now,
Open = 495,
High = 495,
Low = 495,
Close = 495,
VolumeWeightedPrice = 495,
TotalQuantity = 495
};
for (int i = 0; i < 1000; ++i)
callback.PutStock(st);
//Console.WriteLine("Done calling {0}", address);
((ICommunicationObject)callback).Shutdown();
factory.Shutdown();
}
public void GetStocks(string address)
{
/// WCF service methods execute on IO threads.
/// Passing work off to worker thread improves service responsiveness... with a measurable cost in total runtime.
System.Threading.ThreadPool.QueueUserWorkItem(new System.Threading.WaitCallback(SendStocks), address);
// SendStocks(address);
}
}
[ServiceBehavior(InstanceContextMode = InstanceContextMode.PerSession)]
public class Callback : IPutStock
{
public static int CallbacksCompleted = 0;
System.Diagnostics.Stopwatch timer = Stopwatch.StartNew();
int n = 0;
public void PutStock(Stock st)
{
++n;
if (n == 1000)
{
//Console.WriteLine("1,000 results in " + this.timer.Elapsed.TotalSeconds + "s");
int compelted = Interlocked.Increment(ref CallbacksCompleted);
if (compelted % 100 == 0)
{
Console.WriteLine("Client #{0} completed 1,000 results in {1} s", compelted, this.timer.Elapsed.TotalSeconds);
if (compelted == Program.CLIENT_COUNT)
{
Console.WriteLine("ALL DONE. Total number of clients: {0} Total runtime: {1} msec", Program.CLIENT_COUNT, Program.ProgramTimer.ElapsedMilliseconds);
}
}
}
}
}
class Program
{
public const int CLIENT_COUNT = 1000; // TEST WITH DIFFERENT VALUES
public static System.Diagnostics.Stopwatch ProgramTimer;
static void StartCallPool(object uriObj)
{
string callbackUri = (string)uriObj;
ChannelFactory<IStock> factory = new ChannelFactory<IStock>("StockClientEndpoint");
IStock proxy = factory.CreateChannel();
proxy.GetStocks(callbackUri);
((ICommunicationObject)proxy).Shutdown();
factory.Shutdown();
}
static void Test()
{
ThreadPool.SetMinThreads(CLIENT_COUNT, CLIENT_COUNT * 2);
// Create all the hosts that will recieve call backs.
List<ServiceHost> callBackHosts = new List<ServiceHost>();
for (int i = 0; i < CLIENT_COUNT; ++i)
{
string port = string.Format("{0}", i).PadLeft(3, '0');
string baseAddress = "net.tcp://localhost:7" + port + "/";
ServiceHost callbackHost = new ServiceHost(typeof(Callback), new Uri[] { new Uri( baseAddress)});
callbackHost.Open();
callBackHosts.Add(callbackHost);
}
Console.WriteLine("All client hosts open.");
ServiceHost stockHost = new ServiceHost(typeof(StocksService));
stockHost.Open();
Console.WriteLine("Service Host opened. Starting timer...");
ProgramTimer = Stopwatch.StartNew();
foreach (var callbackHost in callBackHosts)
{
ThreadPool.QueueUserWorkItem(new WaitCallback(StartCallPool), callbackHost.BaseAddresses[0].AbsoluteUri);
}
Console.WriteLine("Press ENTER to close the host once you see 'ALL DONE'.");
Console.ReadLine();
foreach (var h in callBackHosts)
h.Shutdown();
stockHost.Shutdown();
}
static void Main(string[] args)
{
Test();
}
}
public static class Extensions
{
static public void Shutdown(this ICommunicationObject obj)
{
try
{
obj.Close();
}
catch (Exception ex)
{
Console.WriteLine("Shutdown exception: {0}", ex.Message);
obj.Abort();
}
}
}
}
app.config:
<?xml version="1.0" encoding="utf-8" ?>
<configuration>
<system.serviceModel>
<services>
<service name="StockApp.StocksService">
<host>
<baseAddresses>
<add baseAddress="net.tcp://localhost:8123/StockApp/"/>
</baseAddresses>
</host>
<endpoint address="" binding="netTcpBinding" bindingConfiguration="tcpConfig" contract="StockApp.IStock">
<identity>
<dns value="localhost"/>
</identity>
</endpoint>
</service>
<service name="StockApp.Callback">
<host>
<baseAddresses>
<!-- Base address defined at runtime. -->
</baseAddresses>
</host>
<endpoint address="" binding="netTcpBinding" bindingConfiguration="tcpConfig" contract="StockApp.IPutStock">
<identity>
<dns value="localhost"/>
</identity>
</endpoint>
</service>
</services>
<client>
<endpoint name="StockClientEndpoint"
address="net.tcp://localhost:8123/StockApp/"
binding="netTcpBinding"
bindingConfiguration="tcpConfig"
contract="StockApp.IStock" >
</endpoint>
<!-- CallbackClientEndpoint address defined at runtime. -->
<endpoint name="CallbackClientEndpoint"
binding="netTcpBinding"
bindingConfiguration="tcpConfig"
contract="StockApp.IPutStock" >
</endpoint>
</client>
<behaviors>
<serviceBehaviors>
<behavior>
<!--<serviceMetadata httpGetEnabled="true"/>-->
<serviceDebug includeExceptionDetailInFaults="true"/>
<serviceThrottling maxConcurrentCalls="1000" maxConcurrentSessions="1000" maxConcurrentInstances="1000" />
</behavior>
</serviceBehaviors>
</behaviors>
<bindings>
<netTcpBinding>
<binding name="tcpConfig" listenBacklog="100" maxConnections="1000">
<security mode="None"/>
<reliableSession enabled="false" />
</binding>
</netTcpBinding>
</bindings>
</system.serviceModel>
</configuration>
:我刚刚尝试了上面的解决方案与netNamedPipeBinding:
<netNamedPipeBinding >
<binding name="pipeConfig" maxConnections="1000" >
<security mode="None"/>
</binding>
</netNamedPipeBinding>
它实际上慢了3秒(从20秒到23秒)。因为这个特殊的例子都是进程间的,我不确定为什么。如果有人有什么见解,请评论。
首先回答您的第二个问题,与原始套接字相比,WCF总是有开销。但与原始套接字相比,它具有大量的功能(如安全性、可靠性、互操作性、多种传输协议、跟踪等),您是否可以接受这种权衡取决于您的场景。看起来你正在做一些金融交易应用程序,WCF可能不适合你的情况(尽管我不是在金融行业,没有经验来证明这一点)。
对于你的第一个问题,尝试在客户端托管一个单独的WCF服务,而不是双重http绑定,这样客户端可以自己成为一个服务,如果可能的话,使用netttcp绑定。调整服务行为中的serviceThrottling元素的属性。在。net 4之前,默认值更低。
我有一些关于f#中socket的帖子:http://moiraesoftware.com
我正在做一些正在进行的工作与一个库称为骨折io在这里:https://github.com/fractureio/fracture
你可能想看看这些想法…