NetMQ 测试用例

近期研究了一下NetMQ，设想把他用在分布式爬虫上面，NetMQ是一个封装了Socket队列的开源库，他是ZeroMQ的.net移植版，而ZeroMQ是用C写成的,有人测试过他的性能，几乎可以秒杀其他所有的MQ（MSMQ，RabitMQ等等，都不是他的对手），不过他也有一个弱点，消息不支持持久化！当然，这个功能可以自己实现，我这里只讲性能，不需要持久化

下面的例子是我基于NetMQ官网的例子修改的，下面有三个对象Ventilator 消息分发者，Worker 消息处理者，Sink 接受Worker处理消息后返回的结果，耗时的计算处理工作是交给Worker的，如果开多个Worker.exe，可以提升处理速度，Worker的最终目的是分布式计算，部署到多台PC上面，把计算工作交给他们去做（在分布式爬虫上面，每个Worker相当于一个爬虫）。

不废话，上代码（本来打算用protobuf.net作为序列化格式，在多线程环境下老是报一个错，暂时不知道是什么原因，所以这段注释掉了）

首先是定义要发送到消息里的对象

using System;using ProtoBuf;namespace Model{    [Serializable]    [ProtoContract]    public class Person    {        [ProtoMember(1)]        public int Id { get; set; }        [ProtoMember(2)]        public string Name { get; set; }        [ProtoMember(3)]        public DateTime BirthDay { set; get; }        [ProtoMember(4)]        public Address Address { get; set; }    }}

using System;using ProtoBuf;namespace Model{    [Serializable]    [ProtoContract]    public class Address    {        [ProtoMember(1)]        public string Line1 { get; set; }        [ProtoMember(2)]        public string Line2 { get; set; }    }}

然后是消息的发送者

using System;using System.IO;using System.Runtime.Remoting.Channels;using System.Runtime.Serialization.Formatters.Binary;using System.Threading;using System.Threading.Tasks;using Model;using NetMQ;using ProtoBuf;using ProtoBuf.Meta;namespace Ventilator{    sealed class Ventilator    {        public void Run()        {            Task.Run(() =>            {                using (var ctx = NetMQContext.Create())                using (var sender = ctx.CreatePushSocket())                using (var sink = ctx.CreatePushSocket())                {                    sender.Bind("tcp://*:5557");                    sink.Connect("tcp://localhost:5558");                    sink.Send("0");                    Console.WriteLine("Sending tasks to workers");                    RuntimeTypeModel.Default.MetadataTimeoutMilliseconds = 300000;                    //send 100 tasks (workload for tasks, is just some random sleep time that                    //the workers can perform, in real life each work would do more than sleep                    for (int taskNumber = 0; taskNumber < 10000; taskNumber++)                    {                        Console.WriteLine("Workload : {0}", taskNumber);                        var person = new Person                        {                            Id = taskNumber,                            Name = "First",                            BirthDay = DateTime.Parse("1981-11-15"),                            Address = new Address { Line1 = "Line1", Line2 = "Line2" }                        };                        using (var sm = new MemoryStream())                        {                            //Serializer.PrepareSerializer<Person>();                            //Serializer.Serialize(sm, person);                            //sender.Send(sm.ToArray());                            var binaryFormatter = new BinaryFormatter();                            binaryFormatter.Serialize(sm, person);                            sender.Send(sm.ToArray());                        }                    }                }            });        }    }}

using System;using System.Collections.Generic;using System.Linq;using System.Text;using System.Threading;using System.Threading.Tasks;using NetMQ;namespace Ventilator{    public class Program    {        public static void Main(string[] args)        {            // Task Ventilator            // Binds PUSH socket to tcp://localhost:5557            // Sends batch of tasks to workers via that socket            Console.WriteLine("====== VENTILATOR ======");            Console.WriteLine("Press enter when worker are ready");            Console.ReadLine();            //the first message it "0" and signals start of batch            //see the Sink.csproj Program.cs file for where this is used            Console.WriteLine("Sending start of batch to Sink");            var ventilator = new Ventilator();            ventilator.Run();            Console.WriteLine("Press Enter to quit");            Console.ReadLine();        }    }}

消息的处理者

using System;using System.IO;using System.Runtime.Serialization.Formatters.Binary;using System.Threading;using System.Threading.Tasks;using Model;using NetMQ;using ProtoBuf;namespace Worker{    sealed class Worker    {        public void Run()        {            Task.Run(() =>            {                using (NetMQContext ctx = NetMQContext.Create())                {                    //socket to receive messages on                    using (var receiver = ctx.CreatePullSocket())                    {                        receiver.Connect("tcp://localhost:5557");                        //socket to send messages on                        using (var sender = ctx.CreatePushSocket())                        {                            sender.Connect("tcp://localhost:5558");                            //process tasks forever                            while (true)                            {                                //workload from the vetilator is a simple delay                                //to simulate some work being done, see                                //Ventilator.csproj Proram.cs for the workload sent                                //In real life some more meaningful work would be done                                //string workload = receiver.ReceiveString();                                var receivedBytes = receiver.Receive();                                using (var sm = new MemoryStream(receivedBytes))                                {                                    //Protobuf.net 序列化在多线程方式下报错:                                    /*                                      Timeout while inspecting metadata; this may indicate a deadlock.                                       This can often be avoided by preparing necessary serializers during application initialization,                                       rather than allowing multiple threads to perform the initial metadata inspection;                                       please also see the LockContended event                                     */                                    //var person = Serializer.Deserialize<Person>(sm);                                    //采用二进制方式                                    var binaryFormatter = new BinaryFormatter();                                    var person = binaryFormatter.Deserialize(sm) as Person;                                    Console.WriteLine("Person {Id:" + person.Id + ",Name:" + person.Name + ",BirthDay:" +                                                      person.BirthDay + ",Address:{Line1:" + person.Address.Line1 +                                                      ",Line2:" + person.Address.Line2 + "}}");                                    Console.WriteLine("Sending to Sink:" + person.Id);                                    sender.Send(person.Id + "");                                }                                //simulate some work being done                                //Thread.Sleep(int.Parse(workload));                            }                        }                    }                }            });        }    }}

using System;using System.Collections.Generic;using System.Linq;using System.Threading.Tasks;namespace Worker{    public class Program    {        public static void Main(string[] args)        {            // Task Worker            // Connects PULL socket to tcp://localhost:5557            // collects workload for socket from Ventilator via that socket            // Connects PUSH socket to tcp://localhost:5558            // Sends results to Sink via that socket            Console.WriteLine("====== WORKER ======");            //Task 方式多线程            //foreach (Worker client in Enumerable.Range(0, 1000).Select(            //    x => new Worker()))            //{            //    client.Run();            //}            //多核计算方式多线程            var actList =                Enumerable.Range(0, 50).Select(x => new Worker()).Select(client => (Action)(client.Run)).ToList();            var paraOption = new ParallelOptions { MaxDegreeOfParallelism = Environment.ProcessorCount };            Parallel.Invoke(paraOption, actList.ToArray());            Console.ReadLine();        }    }}

接受消息处理的结果

using System;using System.Collections.Generic;using System.Diagnostics;using System.Linq;using System.Text;using System.Threading.Tasks;using NetMQ;namespace Sink{    public class Program    {        public static void Main(string[] args)        {            // Task Sink            // Bindd PULL socket to tcp://localhost:5558            // Collects results from workers via that socket            Console.WriteLine("====== SINK ======");            using (NetMQContext ctx = NetMQContext.Create())            {                //socket to receive messages on                using (var receiver = ctx.CreatePullSocket())                {                    receiver.Bind("tcp://localhost:5558");                    //wait for start of batch (see Ventilator.csproj Program.cs)                    var startOfBatchTrigger = receiver.ReceiveString();                    Console.WriteLine("Seen start of batch");                    //Start our clock now                    Stopwatch watch = new Stopwatch();                    watch.Start();                    for (int taskNumber = 0; taskNumber < 10000; taskNumber++)                    {                    //while (true)                    //{                        var workerDoneTrigger = receiver.ReceiveString();                        Console.WriteLine(workerDoneTrigger);                    //}                    }                    watch.Stop();                    //Calculate and report duration of batch                    Console.WriteLine();                    Console.WriteLine("Total elapsed time {0} msec", watch.ElapsedMilliseconds);                    Console.ReadLine();                }            }        }    }}

 

 

<span style="font-family: 'microsoft yahei'; line-height: 26px; background-color: rgb(255, 255, 255);">再次提醒，Worker.exe 可以开多个，以提高效率</span>