高并发场景之RabbitMQ篇

上次我们介绍了在单机、集群下高并发场景可以选择的一些方案，传送门：高并发场景之一般解决方案

但是也发现了一些问题，比如集群下使用ConcurrentQueue或加锁都不能解决问题，后来采用Redis队列也不能完全解决问题，

因为使用Redis要自己实现分布式锁

这次我们来了解一下一个专门处理队列的组件：RabbitMQ，这个东西天生支持分布式队列。

下面我们来用RabbitMQ来实现上一篇的场景

一、新建RabbitMQ.Receive

private static ConnectionFactory factory = new ConnectionFactory { HostName = "192.168.1.109", UserName = "ljr", Password = "root", VirtualHost = "/" };

         static void Main(string[] args)
         {
             using (var connection = factory.CreateConnection())
             {
                 using (var channel = connection.CreateModel())
                 {
                     var consumer = new EventingBasicConsumer();
                     consumer.Received += (model, ea) =>
                     {
                         var body = ea.Body;
                         var message = Encoding.UTF8.GetString(body);
                         Console.WriteLine(" [x] Received {0}", message);

                         var total = DbHelper.ExecuteScalar("Select Total from ConCurrency where Id = 1", null).ToString();
                         ;

                         DbHelper.ExecuteNonQuery(string.Format("Update ConCurrency Set Total = {0} where Id = 1", value.ToString()), null);
                     };

                     channel.QueueDeclare(queue: "queueName", durable: false, exclusive: false, autoDelete: false, arguments: null);
                     channel.BasicConsume(queue: "queueName", noAck: true, consumer: consumer);

                     Console.WriteLine(" Press [enter] to exit.");
                     Console.ReadLine();
                 }
             }
         }

二、新建RabbitMQ.Send　　

         static void Main(string[] args)
         {
             ; i <= ; i++)
             {
                 Task.Run(async () =>
                 {
                     await Produce();
                 });

                 Console.WriteLine(i);
             }

             Console.ReadKey();
         }

         public static Task Produce()
         {
             return Task.Factory.StartNew(() =>
             {
                 using (var connection = factory.CreateConnection())
                 {
                     using (var channel = connection.CreateModel())
                     {
                         var body = Encoding.UTF8.GetBytes(Guid.NewGuid().ToString());
                         channel.QueueDeclare(queue: "queueName", durable: false, exclusive: false, autoDelete: false, arguments: null);
                         channel.BasicPublish(exchange: "", routingKey: "queueName", basicProperties: null, body: body);
                     }
                 }
             });
         }

这里是模拟500个用户请求，正常的话最后Total就等于500

我们来说试试看，运行程序

2.1、打开接收端

2.2 运行客户端

2.3、可以看到2边几乎是实时的，再去看看数据库

好了，就是这样 、。