消息中间件RabbitMq如何保证消息的可靠性
关于保证消息的可靠性,可以从rabbitmq的组成部分来分析,第一部分发送方,第二部分服务端,第三部分消费方,第四部分兜底部分
1.生产者发送确认机制,当生产者发送消息到rabbitmq后,rabbitmq会给生产者一个确认,告诉生产者这个消息我收到且保存
java代码
channel.confirmSelect(); // 启用生产者确认
if (channel.waitForConfirms()) {
System.out.println("Message successfully delivered!");
} else {
System.out.println("Message delivery failed!");
}
import com.rabbitmq.client.*;
public class PublisherConfirmProducer {
private final static String QUEUE_NAME = "persistent_queue";
public static void main(String[] argv) throws Exception {
ConnectionFactory factory = new ConnectionFactory();
factory.setHost("localhost");
try (Connection connection = factory.newConnection();
Channel channel = connection.createChannel()) {
// 声明持久化队列
channel.queueDeclare(QUEUE_NAME, true, false, false, null);
// 启用发布者确认模式
channel.confirmSelect();
String message = "Hello RabbitMQ with Publisher Confirms!";
// 发布消息
channel.basicPublish("", QUEUE_NAME,
new AMQP.BasicProperties.Builder().deliveryMode(2).build(),
message.getBytes());
// 等待确认
if (channel.waitForConfirms()) {
System.out.println("Message successfully delivered!");
} else {
System.out.println("Message delivery failed!");
}
}
}
}
2.服务端方面,消息持久化,也就是把消息保存到磁盘中,即rabbitmq重启后,队列依旧存在,未消费的消息依旧存在
java代码方面创建持久化队列,可以消息持久化
import com.rabbitmq.client.*;
public class Producer {
private final static String QUEUE_NAME = "persistent_queue";
public static void main(String[] argv) throws Exception {
ConnectionFactory factory = new ConnectionFactory();
factory.setHost("localhost");
try (Connection connection = factory.newConnection();
Channel channel = connection.createChannel()) {
// 声明一个持久化的队列
channel.queueDeclare(QUEUE_NAME, true, false, false, null);
String message = "Hello RabbitMQ!";
// 发布持久化消息
channel.basicPublish("", QUEUE_NAME,
new AMQP.BasicProperties.Builder().deliveryMode(2).build(), // 设置消息持久化
message.getBytes());
System.out.println("Sent: " + message);
}
}
}
3.从消费方设计,消息消费后进行一个手动的确认,取代原有的自动确认
java代码方面
import com.rabbitmq.client.*;
public class Consumer {
private final static String QUEUE_NAME = "persistent_queue";
public static void main(String[] argv) throws Exception {
ConnectionFactory factory = new ConnectionFactory();
factory.setHost("localhost");
try (Connection connection = factory.newConnection();
Channel channel = connection.createChannel()) {
// 声明持久化队列(即便消费者已经运行,这里仍然要声明队列)
channel.queueDeclare(QUEUE_NAME, true, false, false, null);
// 设置消费者回调,手动确认消息
DeliverCallback deliverCallback = (consumerTag, delivery) -> {
String message = new String(delivery.getBody(), "UTF-8");
System.out.println("Received: " + message);
// 发送确认,表示已成功处理该消息
channel.basicAck(delivery.getEnvelope().getDeliveryTag(), false);
};
// 开始消费消息,设置自动确认为 false,开启手动确认
channel.basicConsume(QUEUE_NAME, false, deliverCallback, consumerTag -> {});
}
}
}
4.兜底方案,即死信队列,你可能会问"消费者未能消费的,不做确认不就好了,消息依旧在rabbitmq啊,为啥要使用死信队列呢",这里使用死信队列,是为了这些失败的消息避免被重复消息,因为不可控制的原因,消费失败的问题短时间会持续存在,使用死信队列为了给正常的
消息腾空间,同时使用死信队列,也是为了更好的分析失败原因,总体来说就是好坑位要留给需要的人
java代码使用死信队列
import com.rabbitmq.client.*;
public class DeadLetterProducer {
private final static String QUEUE_NAME = "main_queue";
private final static String DLQ_NAME = "dead_letter_queue";
public static void main(String[] argv) throws Exception {
ConnectionFactory factory = new ConnectionFactory();
factory.setHost("localhost");
try (Connection connection = factory.newConnection();
Channel channel = connection.createChannel()) {
// 创建死信队列
channel.queueDeclare(DLQ_NAME, true, false, false, null);
// 创建主队列并设置死信交换机和路由键
channel.queueDeclare(QUEUE_NAME, true, false, false,
Map.of("x-dead-letter-exchange", "", "x-dead-letter-routing-key", DLQ_NAME));
String message = "Message for Dead Letter Queue";
// 发布消息
channel.basicPublish("", QUEUE_NAME,
new AMQP.BasicProperties.Builder().deliveryMode(2).build(),
message.getBytes());
System.out.println("Sent to main queue: " + message);
}
}
}
以上从四个方面介绍保证rabbitmq消息可靠性措施
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