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RabbitMQ保证消息的一致性解决方案_第1张图片

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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