RabbitMQ保证消息的一致性解决方案

RabbitMQ保证消息的一致性

一、采用confirm消息确认机制及return返回机制 确保消息发送成功

二、将队列以及消息设置持久化 保证rabbitmq突然宕机消息仍然存在

三、手动确认接收消息方式 消息处理失败拒收重回队列


1. yml配置

spring:
rabbitmq:
host: 10.134.22.232
port: 5672
username: guest
password: guest
##消息发送确认回调
publisher-confirms: true
#采用confirm以及return机制 发送返回监听回调
publisher-confirm-type: correlated
publisher-returns: true
listener:
type: simple
simple:
#手动接收消息方式
acknowledge-mode: manual

2. RabbitMQ配置类

@Configuration
@Slf4j
@AllArgsConstructor
public class RabbitmqConfig {
private final ConnectionFactory connectionFactory;
private final RabbitLogsMapper rabbitLogsMapper;
@Bean
public RabbitTemplate rabbitTemplate(){
RabbitTemplate rabbitTemplate = new RabbitTemplate(connectionFactory);
//confirm确认
rabbitTemplate.setConfirmCallback((correlationData,ack,cause) -> {
String msgId = correlationData.getId();
if (ack) {
//发送成功
log.info("消息成功发送 , msgId: {}," ,msgId);
//状态更新 消息发送成功
BiddingRabbitLogs biddingRabbitLogs = new BiddingRabbitLogs();
biddingRabbitLogs.setStatus(SendStatus.SEND_SUCCESS.getValue());
rabbitLogsMapper.update(biddingRabbitLogs, Wrappers.lambdaUpdate(BiddingRabbitLogs.class).eq(BiddingRabbitLogs::getId,msgId).notIn(BiddingRabbitLogs::getStatus,"4"));
} else {
//发送失败
log.error("消息发送失败, {}, cause: {}, msgId: {}", correlationData, cause, msgId);
//状态更新 消息发送失败
BiddingRabbitLogs biddingRabbitLogs = new BiddingRabbitLogs();
biddingRabbitLogs.setStatus(SendStatus.SEND_FAILD.getValue());
rabbitLogsMapper.update(biddingRabbitLogs, Wrappers.lambdaUpdate(BiddingRabbitLogs.class).eq(BiddingRabbitLogs::getId,msgId).notIn(BiddingRabbitLogs::getStatus,"4"));
}
});
rabbitTemplate.setMandatory(true);
rabbitTemplate.setReturnCallback((message,replyCode,replyText,exchange,routingKey) -> {
//触发回调 只有交换机找不到队列时才会触发
log.error("消息从Exchange路由到Queue失败: exchange: {}, route: {}, replyCode: {}, replyText: {}, message: {}", exchange, routingKey, replyCode, replyText, message);
//状态更新 消息发送失败
String msgId = (String) message.getMessageProperties().getHeaders().get("spring_returned_message_correlation");
BiddingRabbitLogs biddingRabbitLogs = new BiddingRabbitLogs();
biddingRabbitLogs.setStatus(SendStatus.SEND_FAILD.getValue());
rabbitLogsMapper.update(biddingRabbitLogs, Wrappers.lambdaUpdate(BiddingRabbitLogs.class).eq(BiddingRabbitLogs::getId,msgId).notIn(BiddingRabbitLogs::getStatus,"4"));
});
return rabbitTemplate;
}
@Bean
public RabbitAdmin rabbitAdmin(RabbitTemplate rabbitTemplate){
RabbitAdmin rabbitAdmin = new RabbitAdmin(rabbitTemplate);
rabbitAdmin.setAutoStartup(true);
return rabbitAdmin;
}
}

说明:

  • confirm机制只是确保了消息是否成功发送到交换机
  • Return机制确保了消息是否从交换机发送到指定的队列

- - ConfirmCallback则根据状态判断发送成功还是失败 进行更新日志表记录状态
  • ReturnCallback则根据收到消息就是未找到队列发送失败,未收到消息就是发送成功 进行更新日志表记录状态

3. 声明的队列一定要将队列持久化

public String createQueue(String queueName) {
BiddingQueueConfig biddingQueueConfig = queueMapper.selectOne(Wrappers.lambdaQuery(BiddingQueueConfig.class).eq(BiddingQueueConfig::getQueue, queueName));
if (biddingQueueConfig == null) {
biddingQueueConfig = new BiddingQueueConfig();
biddingQueueConfig.setCreatetime(new Date());
biddingQueueConfig.setQueue(queueName);
biddingQueueConfig.setStatus("1");
int insert = queueMapper.insert(biddingQueueConfig);
//将队列持久化
rabbitAdmin.declareQueue(new Queue(queueName,true));
return queueName + "队列创建成功";
}
return queueName + "队列创建失败";
}

4. 发送消息 将发送的消息设置为持久化

发送消息前首先将发送的数据插入数据库,状态变为发送中在这里插入图片描述

5. 消费者监听队列

  • 如果根据消息id查询日志表为空的话那么是没有发送消息,消息自动接收,发送成功消息后日志表会有数据
  • 判断是否重复消费 根据状态是否成功消费以及失败重试次数判断
  • 处理业务逻辑,如果成功消息接收 状态更新
  • 如果处理业务逻辑失败报错则会拒收,消息重回队列重新处理此条消息,当处理次数超过3次处理失败则消息改为接收
// 启动自动创建队列
@RabbitListener(queuesToDeclare = { @Queue("queue_work_dontask") })
@RabbitHandler
@SneakyThrows
public void receiveDonTask(String data, Message message, Channel channel){
//消息id
String msgId = (String) message.getMessageProperties().getHeaders().get("spring_returned_message_correlation");
//根据消息id查询BiddingRabbitLogs日志表
BiddingRabbitLogs biddingRabbitLogs = remoteLogsService.get(msgId, SecurityConstants.FROM_IN).getData();
if (biddingRabbitLogs == null) {
log.error("消息ID查询 biddingRabbitLogs:null");
channel.basicAck(message.getMessageProperties().getDeliveryTag(),false);
return;
}
//状态:1.消息发送中 2.消息发送成功 3.消息发送失败 4.消费成功 5.消费失败
if (SendStatus.CONSUME_SUCCESS.getValue().equals(biddingRabbitLogs.getStatus()) || SendStatus.SEND_FAILD.getValue() == String.valueOf(biddingRabbitLogs.getTryTimes())) {
//重复消费
log.info("消息ID:{},重复消费",msgId);
channel.basicAck(message.getMessageProperties().getDeliveryTag(),false);
return;
}
try {
//处理业务逻辑
Map map = JSON.parseObject(data, Map.class);
String dataString = (String) map.get("data");
String username = (String) map.get("username");
Integer tenantId = (Integer) map.get("tenantId");
ApproveParam approveParam = JSON.parseObject(dataString, ApproveParam.class);
R<String> stringR = doneTask(approveParam,username,tenantId);
//处理成功 更新状态
channel.basicAck(message.getMessageProperties().getDeliveryTag(),false);
biddingRabbitLogs.setStatus(SendStatus.CONSUME_SUCCESS.getValue());
biddingRabbitLogs.setSuccesstime(new Date());
remoteLogsService.updateById(biddingRabbitLogs,SecurityConstants.FROM_IN);
log.info("消费成功,消息ID:{}",msgId);
} catch (Exception e) {
e.printStackTrace();
if (biddingRabbitLogs.getTryTimes() >= Integer.parseInt(SendStatus.TRY_TIMES.getValue())) {
//多次消费不成功 自动接收
channel.basicAck(message.getMessageProperties().getDeliveryTag(),false);
log.error("多次消费失败,消息ID:{}",msgId);
} else {
//消费失败 拒收 重回队列
channel.basicNack(message.getMessageProperties().getDeliveryTag(),false,true);
log.error("消费失败,消息ID:{}",msgId);
}
biddingRabbitLogs.setStatus(SendStatus.CONSUME_FAILD.getValue());
biddingRabbitLogs.setTryTimes(biddingRabbitLogs.getTryTimes()+1);
remoteLogsService.updateById(biddingRabbitLogs,SecurityConstants.FROM_IN);
}
}
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