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
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private static ConnectionFactory factory = new ConnectionFactory { HostName = "192.168.1.109", UserName = "ljr", Password = "root", VirtualHost = "/" }; |
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1 static void Main(string[] args) 2 { 3 using (var connection = factory.CreateConnection()) 4 { 5 using (var channel = connection.CreateModel()) 6 { 7 var consumer = new EventingBasicConsumer(); 8 consumer.Received += (model, ea) => 9 { 10 var body = ea.Body; 11 var message = Encoding.UTF8.GetString(body); 12 Console.WriteLine(" [x] Received {0}", message); 13 14 var total = DbHelper.ExecuteScalar("Select Total from ConCurrency where Id = 1", null).ToString(); 15 var value = int.Parse(total) + 1; 16 17 DbHelper.ExecuteNonQuery(string.Format("Update ConCurrency Set Total = {0} where Id = 1", value.ToString()), null); 18 }; 19 20 channel.QueueDeclare(queue: "queueName", durable: false, exclusive: false, autoDelete: false, arguments: null); 21 channel.BasicConsume(queue: "queueName", noAck: true, consumer: consumer); 22 23 Console.WriteLine(" Press [enter] to exit."); 24 Console.ReadLine(); 25 } 26 } 27 } |
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1 static void Main(string[] args) 2 { 3 for (int i = 1; i <= 500; i++) 4 { 5 Task.Run(async () => 6 { 7 await Produce(); 8 }); 9 10 Console.WriteLine(i); 11 } 12 13 Console.ReadKey(); 14 } 15 16 public static Task Produce() 17 { 18 return Task.Factory.StartNew(() => 19 { 20 using (var connection = factory.CreateConnection()) 21 { 22 using (var channel = connection.CreateModel()) 23 { 24 var body = Encoding.UTF8.GetBytes(Guid.NewGuid().ToString()); 25 channel.QueueDeclare(queue: "queueName", durable: false, exclusive: false, autoDelete: false, arguments: null); 26 channel.BasicPublish(exchange: "", routingKey: "queueName", basicProperties: null, body: body); 27 } 28 } 29 }); 30 } |
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
最后数据是1000
完全没有冲突,好了,就是这样 。