C#采用rabbitMQ搭建分布式日志系统

网上对于java有很多开源的组件可以搭建分布式日志系统,我参考一些组件自己开发一套简单的分布式日志系

全部使用采用.NET进行开发,所用技术:MVC、EF、RabbitMq、MySql、Autofac

整体构架如下:

C#采用rabbitMQ搭建分布式日志系统_第1张图片

主要采用的RabbitMq进行处理,下面我主要讲讲.NET下运用RabbitMq

1.RabbitMQ Erlang 的安装,网上很多介绍,我这里就不多少了,请参考https://jingyan.baidu.com/article/a17d5285173ce68098c8f2e5.html

备注:安装好后一定注意保持.erlang.cookie这个文件的一致,在用户目录和windows下面。

2.RabbitMQ是使用,先安装RabbitMQ.Client,在VS中程序管理装入

RabbitMQ的辅助类

/// 
    /// RabbitMQ消息队列处理
    /// 
    public class RabbitMQHelper
    {
        /// 
        /// rabbitMQ地址
        /// 
        private string HostName = "localhost";   //ConfigurationManager.AppSettings["RabbitMQHostName"];
        /// 
        /// 账号
        /// 
        private string UserName = "guest";    //ConfigurationManager.AppSettings["RabbitMQUserName"];
        /// 
        /// 密码
        /// 
        private string Password = "guest";     // ConfigurationManager.AppSettings["RabbitMQPassword"];
        /// 
        /// 创建ConnectionFactory
        /// 
        /// 
        private ConnectionFactory factory { get; set; }

        public RabbitMQHelper() {
            if (factory == null)
            {
                factory = new ConnectionFactory();
                factory.HostName = HostName;
                factory.UserName = UserName;
                factory.Password = Password;
            }
        }
        public RabbitMQHelper(string UserName,string Password):base() {
            this.UserName = UserName;
            this.Password = Password;
        }
        public RabbitMQHelper(string UserName, string Password,string HostName) :base() {
            this.UserName = UserName;
            this.Password = Password;
            this.HostName = HostName;
        }
        /// 
        /// 消息发送
        /// 
        /// 
        /// 
        /// 
        public void SendMsg(TEntity entity,string MqName)
        {
            if (entity == null || string.IsNullOrEmpty(MqName)) return;
            using (var connection = factory.CreateConnection()) {
                using (var channel = connection.CreateModel()) {
                    bool durable = true;
                    channel.QueueDeclare(MqName, durable, false, false, null);
                    string message = Newtonsoft.Json.JsonConvert.SerializeObject(entity);
                    //持久化队列消息
                    var properties = channel.CreateBasicProperties();
                    properties.Persistent = true;
                    var body = Encoding.UTF8.GetBytes(message);                  
                    channel.BasicPublish("", MqName, properties, body);
                   
                }
            }
        }
        /// 
        /// 接受消息
        /// 
        /// 
        /// 
        /// 
        /// 
        public void AcceptMsg(string MqName,out TEntity entity,Action action)where TEntity:class
        {
            entity =null;
            if (string.IsNullOrEmpty(MqName)) return;
            using (var connection = factory.CreateConnection())
            {
                using (var channel = connection.CreateModel())
                {
                    bool durable = true;
                    channel.QueueDeclare(MqName, durable, false, false, null);
                    //公平分发
                    channel.BasicQos(0, 1, false);
                    var consumer = new QueueingBasicConsumer(channel);
                    channel.BasicConsume(MqName, false, consumer);
                    while (true)
                    {
                        var ea = consumer.Queue.Dequeue();
                        var body = ea.Body;
                        var message = Encoding.UTF8.GetString(body);
                        entity = Newtonsoft.Json.JsonConvert.DeserializeObject(message);
                        Thread.Sleep(1000);
                        channel.BasicAck(ea.DeliveryTag, false);
                        action();
                    }
                }
            }
        }

    }
View Code

3.在生成服务器只需要调用SendMsg将日志文件写入消息队列

4.在日志处理服务器采用 NLog进行日志持久化处理,目前采用2台服务,采用RabbitMQ公平分发到2台日志服务器中,最后进行持久化处理,NLog的使用这里就不作说明

如果对于日志处理有更好的方案欢迎指出,谢谢

转载于:https://www.cnblogs.com/kq123321/p/8350537.html

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