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private void OnAppStartup() | |
{ | |
ConnectionFactory = new ConnectionFactory() | |
{ | |
HostName = "localhost", | |
Port = 5672, | |
UserName = "myapp", | |
Password = "password", | |
RequestedHeartbeat = 4, // heartbeat is what lets your code detect problems communicating with | |
// the RabbitMQ server. A heartbeat of 4 will cause the server to send | |
// a heartbeat 'ping' message every 4 seconds. If the client has not | |
// received a ping in 8 seconds (heartbeat*2) then it will consider the | |
// connection to be bad and throw a ConnectionShutdown event. | |
}; | |
var SingletonConnection = ConnectionFactory.CreateConnection(); | |
SingletonConnection.ConnectionShutdown += SingletonConnection_ConnectionShutdown; // handle disconnects | |
} | |
// else where in your code that actually talks to RabbitMQ | |
public class Publisher { | |
private IModel _model; | |
public Publisher(string queueName) { | |
_model = conn.CreateModel(); | |
// it's safe to declare queues that already exist as long as their properties are identical | |
// this runs on initialization every time - that will ensure all of your queues exist on app startup | |
model.QueueDeclare(queueName, true, false, false, null); | |
// binds the given queue to the routingKey. We use the same string as both the queue name and routing key | |
model.QueueBind(queueName, "amq.direct", queueName); | |
} | |
// serialize your message body however you want. JSON is nice because it's makes debugging a bit easier. | |
public void PublishMessage(string routingKey, byte[] body) | |
{ | |
var model = _model; | |
var props = model.CreateBasicProperties(); | |
// this is important, it tells the queue to make the message delivery 'durable' | |
props.DeliveryMode = 2; | |
if (props.Headers == null) | |
{ | |
props.Headers = new Dictionary<string, object>(); | |
} | |
model.BasicPublish("amq.direct", routingKey, props, body); | |
} | |
} | |
public class Consumer { | |
private IModel _model; | |
private QueueingBasicConsumer _queue; | |
public Consumer(string queueName) { | |
_model = conn.CreateModel(); | |
_model.BasicQos(0, 50, false); // setting a per-channel prefetch can help with your overall throughput. See | |
// http://www.rabbitmq.com/blog/2012/04/25/rabbitmq-performance-measurements-part-2/ | |
// for more info. | |
_queue = new QueueingBasicConsumer(model); | |
_model.BasicConsume(queueName, false, _queue); | |
} | |
// this is obviously simplified from what you'd want to do. I'll leave it up to you to decide how to integrate | |
public void ProcessMessage<T>(TimeSpan timeout, Action<T> handler) { | |
object result; | |
if (!_queue.Queue.Dequeue(timeout, out result)) { | |
return; | |
} | |
BasicDeliverEventArgs msg = (BasicDeliverEventArgs)result; | |
T deserialized = Deserialize<T>(msg.Body); | |
handler(deserialized); | |
// let RabbitMQ know that the message was processed. | |
// if handler() throws an exception the message will not be ACK'd and can be re-delivered to another consumer | |
_model.BasicAck(msg.DeliveryTag, false); | |
} | |
} | |
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