这篇文章主要介绍了C#使用RabbitMq队列(Sample,Work,Fanout,Direct等模式的简单使用),本文给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下
1:RabbitMQ是个啥?(专业术语参考自网络)
RabbitMQ是实现了高级消息队列协议(AMQP)的开源消息代理软件(亦称面向消息的中间件)。
RabbitMQ服务器是用Erlang语言编写的,Erlang是专门为高并发而生的语言,而集群和故障转移是构建在开发电信平台框架上的。所有主要的编程语言均有与代理接口通讯的客户端库
2:使用RabbitMQ有啥好处?
RabbitMQ是使用Erlang语言开发的开源消息队列系统,基于AMQP协议来实现。
AMQP的主要特征是面向消息、队列、路由(包括点对点和发布/订阅)、可靠性、安全。
AMQP协议更多用在企业系统内,对数据一致性、稳定性和可靠性要求很高的场景,对性能和吞吐量的要求还在其次。
RabbitMQ的可靠性是非常好的,数据能够保证百分之百的不丢失。可以使用镜像队列,它的稳定性非常好。所以说在我们互联网的金融行业。
对数据的稳定性和可靠性要求都非常高的情况下,我们都会选择RabbitMQ。当然没有kafka性能好,但是要比AvtiveMQ性能要好很多。也可以自己做一些性能的优化。
RabbitMQ可以构建异地双活架构,包括每一个节点存储方式可以采用磁盘或者内存的方式,
3:RabbitMq的安装以及环境搭建等:
网络上有很多关于怎么搭建配置RabbitMq服务环境的详细文章,也比较简单,这里不再说明,本人是Docker上面的pull RabbitMq 镜像来安装的!
3.1:运行容器的命令如下:
docker run -d --hostname Log --restart=always --name rabbitmq -p 5672:5672 -p 15672:15672 -e RABBITMQ_DEFAULT_USER=log_user -e RABBITMQ_DEFAULT_PASS=331QQFEG123 rabbitmq:3-management
4:RabbitMq的使用场景主要有哪些,啥时候用或者不用?
4.1什么时候使用MQ?
1)数据驱动的任务依赖
2)上游不关心多下游执行结果
3)异步返回执行时间长
4.2什么时候不使用MQ?
需要实时关注执行结果 (eg:同步调用)
5:具体C#怎么使用RabbitMq?下面直接上code和测试截图了(Demo环境是.NetCore3.1控制台+Docker上的RabbitMQ容器来进行的)
6:sample模式,就是简单地队列模式,一进一出的效果差不多,测试截图:
Code:
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//简单生产端 ui调用者 using System;
namespace RabbitMqPublishDemo
{ using MyRabbitMqService;
using System.Runtime.CompilerServices;
class Program
{
static void Main( string [] args)
{
//就是简单的队列,生产者
Console.WriteLine( "====RabbitMqPublishDemo====" );
for ( int i = 0; i < 500; i++)
{
ZrfRabbitMqHelper.PublishSampleMsg( "smapleMsg" , $ "nihaifengge:{i}" );
}
Console.WriteLine( "生成完毕!" );
Console.ReadLine();
}
}
} /// <summary> /// 简单生产者 逻辑 /// </summary> /// <param name="queueName"></param> /// <param name="msg"></param> public static void PublishSampleMsg( string queueName, string msg)
{ using (IConnection conn = connectionFactory.CreateConnection())
{
using (IModel channel = conn.CreateModel())
{
channel.QueueDeclare(queue: queueName, durable: false , exclusive: false , autoDelete: false , arguments: null );
var msgBody = Encoding.UTF8.GetBytes(msg);
channel.BasicPublish(exchange: "" , routingKey: queueName, basicProperties: null , body: msgBody);
}
}
} //简单消费端 using System;
namespace RabbitMqConsumerDemo
{ using MyRabbitMqService;
using System.Runtime.InteropServices;
class Program
{
static void Main( string [] args)
{
Console.WriteLine( "====RabbitMqConsumerDemo====" );
ZrfRabbitMqHelper.ConsumeSampleMsg( "smapleMsg" , isBasicNack: true , handleMsgStr: handleMsgStr =>
{
Console.WriteLine($ "订阅到消息:{DateTime.Now}:{handleMsgStr}" );
});
Console.ReadLine();
}
}
} #region 简单生产者后端逻辑
/// <summary>
/// 简单消费者
/// </summary>
/// <param name="queueName">队列名称</param>
/// <param name="isBasicNack">失败后是否自动放到队列</param>
/// <param name="handleMsgStr">有就自己对字符串的处理,如果要存储到数据库请自行扩展</param>
public static void ConsumeSampleMsg( string queueName, bool isBasicNack = false , Action< string > handleMsgStr = null ) // bool ifBasicReject = false,
{
Console.WriteLine( "ConsumeSampleMsg Waiting for messages...." );
IConnection conn = connectionFactory.CreateConnection();
IModel channel = conn.CreateModel();
channel.QueueDeclare(queue: queueName, durable: false , exclusive: false , autoDelete: false , arguments: null );
var consumer = new EventingBasicConsumer(channel);
consumer.Received += (sender, ea) =>
{
byte [] bymsg = ea.Body.ToArray();
string msg = Encoding.UTF8.GetString(bymsg);
if (handleMsgStr != null )
{
handleMsgStr.Invoke(msg);
}
else
{
Console.WriteLine($ "{DateTime.Now}->收到消息:{msg}" );
}
};
channel.BasicConsume(queueName, autoAck: true , consumer);
}
#endregion
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7:Work模式
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//简单生产端 ui调用者 using System;
namespace RabbitMqPublishDemo
{ using MyRabbitMqService;
using System.Runtime.CompilerServices;
class Program
{
static void Main( string [] args)
{
//就是简单的队列,生产者
Console.WriteLine( "====RabbitMqPublishDemo====" );
for ( int i = 0; i < 500; i++)
{
ZrfRabbitMqHelper.PublishSampleMsg( "smapleMsg" , $ "nihaifengge:{i}" );
}
Console.WriteLine( "生成完毕!" );
Console.ReadLine();
}
}
} /// <summary> /// 简单生产者 逻辑 /// </summary> /// <param name="queueName"></param> /// <param name="msg"></param> public static void PublishSampleMsg( string queueName, string msg)
{ using (IConnection conn = connectionFactory.CreateConnection())
{
using (IModel channel = conn.CreateModel())
{
channel.QueueDeclare(queue: queueName, durable: false , exclusive: false , autoDelete: false , arguments: null );
var msgBody = Encoding.UTF8.GetBytes(msg);
channel.BasicPublish(exchange: "" , routingKey: queueName, basicProperties: null , body: msgBody);
}
}
} //简单消费端 using System;
namespace RabbitMqConsumerDemo
{ using MyRabbitMqService;
using System.Runtime.InteropServices;
class Program
{
static void Main( string [] args)
{
Console.WriteLine( "====RabbitMqConsumerDemo====" );
ZrfRabbitMqHelper.ConsumeSampleMsg( "smapleMsg" , isBasicNack: true , handleMsgStr: handleMsgStr =>
{
Console.WriteLine($ "订阅到消息:{DateTime.Now}:{handleMsgStr}" );
});
Console.ReadLine();
}
}
} #region 简单生产者后端逻辑
/// <summary>
/// 简单消费者
/// </summary>
/// <param name="queueName">队列名称</param>
/// <param name="isBasicNack">失败后是否自动放到队列</param>
/// <param name="handleMsgStr">有就自己对字符串的处理,如果要存储到数据库请自行扩展</param>
public static void ConsumeSampleMsg( string queueName, bool isBasicNack = false , Action< string > handleMsgStr = null ) // bool ifBasicReject = false,
{
Console.WriteLine( "ConsumeSampleMsg Waiting for messages...." );
IConnection conn = connectionFactory.CreateConnection();
IModel channel = conn.CreateModel();
channel.QueueDeclare(queue: queueName, durable: false , exclusive: false , autoDelete: false , arguments: null );
var consumer = new EventingBasicConsumer(channel);
consumer.Received += (sender, ea) =>
{
byte [] bymsg = ea.Body.ToArray();
string msg = Encoding.UTF8.GetString(bymsg);
if (handleMsgStr != null )
{
handleMsgStr.Invoke(msg);
}
else
{
Console.WriteLine($ "{DateTime.Now}->收到消息:{msg}" );
}
};
channel.BasicConsume(queueName, autoAck: true , consumer);
}
#endregion
|
8:Fanout
Code:
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//就如下的code, 多次生产,3个消费者都可以自动开始消费 //生产者 using System;
namespace RabbitMqPublishDemo
{ using MyRabbitMqService;
using System.Runtime.CompilerServices;
class Program
{
static void Main( string [] args)
{
for ( int i = 0; i < 500; i++)
{
ZrfRabbitMqHelper.PublishWorkQueueModel( "workqueue" , $ " :发布消息成功{i}" );
}
Console.WriteLine( "工作队列模式 生成完毕......!" );
Console.ReadLine();
}
}
} //生产者后端逻辑 public static void PublishWorkQueueModel( string queueName, string msg)
{
using (var connection = connectionFactory.CreateConnection())
using (var channel = connection.CreateModel())
{
channel.QueueDeclare(queue: queueName, durable: true , exclusive: false , autoDelete: false , arguments: null );
var body = Encoding.UTF8.GetBytes(msg);
var properties = channel.CreateBasicProperties();
properties.Persistent = true ;
channel.BasicPublish(exchange: "" , routingKey: queueName, basicProperties: properties, body: body);
Console.WriteLine($ "{DateTime.Now},SentMsg: {msg}" );
}
}
//work消费端 using System;
namespace RabbitMqConsumerDemo
{ using MyRabbitMqService;
using System.Runtime.InteropServices;
class Program
{
static void Main( string [] args)
{
Console.WriteLine( "====Work模式开启了====" );
ZrfRabbitMqHelper.ConsumeWorkQueueModel( "workqueue" , handserMsg: msg =>
{
Console.WriteLine($ "work模式获取到消息{msg}" );
});
Console.ReadLine();
}
}
} //work后端逻辑 public static void ConsumeWorkQueueModel( string queueName, int sleepHmao = 90, Action< string > handserMsg = null )
{
var connection = connectionFactory.CreateConnection();
var channel = connection.CreateModel();
channel.QueueDeclare(queue: queueName, durable: true , exclusive: false , autoDelete: false , arguments: null );
channel.BasicQos(prefetchSize: 0, prefetchCount: 1, global: false );
var consumer = new EventingBasicConsumer(channel);
Console.WriteLine( " ConsumeWorkQueueModel Waiting for messages...." );
consumer.Received += (sender, ea) =>
{
var body = ea.Body.ToArray();
var message = Encoding.UTF8.GetString(body);
if (handserMsg != null )
{
if (! string .IsNullOrEmpty(message))
{
handserMsg.Invoke(message);
}
}
channel.BasicAck(deliveryTag: ea.DeliveryTag, multiple: false );
};
channel.BasicConsume(queue: queueName, autoAck: false , consumer: consumer);
}
|
9:Direct
Code:
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//同一个消息会被多个订阅者消费 //发布者 using System;
namespace RabbitMqPublishDemo
{ using MyRabbitMqService;
using System.Runtime.CompilerServices;
class Program
{
static void Main( string [] args)
{
#region 发布订阅模式,带上了exchange
for ( int i = 0; i < 500; i++)
{
ZrfRabbitMqHelper.PublishExchangeModel( "exchangemodel" , $ "发布的消息是:{i}" );
}
Console.WriteLine( "发布ok!" );
#endregion
Console.ReadLine();
}
}
} //发布者的后端逻辑 我在这里选择了扇形: ExchangeType.Fanout public static void PublishExchangeModel( string exchangeName, string message)
{
using (var connection = connectionFactory.CreateConnection())
using (var channel = connection.CreateModel())
{
channel.ExchangeDeclare(exchange: exchangeName, type: ExchangeType.Fanout);
var body = Encoding.UTF8.GetBytes(message);
channel.BasicPublish(exchange: exchangeName, routingKey: "" , basicProperties: null , body: body);
Console.WriteLine($ " Sent {message}" );
}
}
//订阅者 using System;
namespace RabbitMqConsumerDemo
{ using MyRabbitMqService;
using System.Runtime.InteropServices;
class Program
{
static void Main( string [] args)
{
#region 发布订阅模式 Exchange
ZrfRabbitMqHelper.SubscriberExchangeModel( "exchangemodel" , msg =>
{
Console.WriteLine($ "订阅到消息:{msg}" );
});
#endregion
Console.ReadLine();
}
}
} //订阅者后端的逻辑 public static void SubscriberExchangeModel( string exchangeName, Action< string > handlerMsg = null )
{
var connection = connectionFactory.CreateConnection();
var channel = connection.CreateModel();
channel.ExchangeDeclare(exchange: exchangeName, type: ExchangeType.Fanout); //Fanout 扇形分叉
var queueName = channel.QueueDeclare().QueueName;
channel.QueueBind(queue: queueName,
exchange: exchangeName,
routingKey: "" );
Console.WriteLine( " Waiting for msg...." );
var consumer = new EventingBasicConsumer(channel);
consumer.Received += (model, ea) =>
{
var body = ea.Body.ToArray();
var message = Encoding.UTF8.GetString(body);
if (handlerMsg != null )
{
if (! string .IsNullOrEmpty(message))
{
handlerMsg.Invoke(message);
}
}
else
{
Console.WriteLine($ "订阅到消息:{message}" );
}
};
channel.BasicConsume(queue: queueName, autoAck: true , consumer: consumer);
}
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