RabbitMQ 和 com.google.common.cache 的用法

1、RabbitMQ实时监听消费消息队列
2、使用缓存减轻数据库压力

package com.chinaso.modules.rank.mq;

import com.alibaba.fastjson.JSONObject;
import com.chinaso.common.ajax.AjaxResponse;
import com.chinaso.modules.rank.bean.FinacialMediaBean;
import com.chinaso.modules.rank.dao.FinacialMediaDao;
import com.chinaso.modules.rank.service.FinacialMediaService;
import com.google.common.cache.Cache;
import com.google.common.cache.CacheBuilder;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.amqp.rabbit.annotation.RabbitHandler;
import org.springframework.amqp.rabbit.annotation.RabbitListener;
import org.springframework.amqp.rabbit.core.RabbitTemplate;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.ApplicationArguments;
import org.springframework.boot.ApplicationRunner;
import org.springframework.stereotype.Component;
import org.springframework.stereotype.Service;

import javax.annotation.Resource;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeoutException;

/**
 * @author boying.cheng on 2020/6/12
 */

//类实现ApplicationRunner的run方法，容器启动的时候设置缓存数据
@Component
public class RabbitMQConsumer implements ApplicationRunner {

    @Resource(name="recieveRabbitTemplate")
    private RabbitTemplate rabbitTemplate;

    //通过注解把配置文件队列名注入
    @Value("${mq.socialmedia.routingKey.queues}")
    private String queues;

    @Autowired
    private FinacialMediaDao finacialMediaDao;

    @Autowired
    private FinacialMediaService finacialMediaService;

    private final Logger logger = LoggerFactory.getLogger("RabbitMQConsumerLog");

    //设置缓存 存储融媒体数据 当需要更新的数据在缓存中有才更新mysql 避免频繁的数据库IO操作
    public static Cache finacialMediaBeansCache = CacheBuilder.newBuilder()
            .maximumSize(10000)
            .build();

    //
    @RabbitHandler
    //指定某方法作为消息消费的方法，监听某 Queue 里面的消息，当有收到消息的时候，就交给 @RabbitHandler 的方法处理
    @RabbitListener(queues ={"${mq.socialmedia.routingKey.queues}"},containerFactory="websearchFactory")
    public void recieved() throws IOException, TimeoutException, InterruptedException {
        //接收mq队列的数据方法
        Object convert = rabbitTemplate.receiveAndConvert(queues);
        if (convert == null){
            return;
        }
        //parseObject解析mq队列的数据
        JSONObject tao_social_media = JSONObject.parseObject(convert.toString().trim());
        String userid = (String)tao_social_media.get("userid");
        String publish_time = (String)tao_social_media.get("publish_time");
        String source = (String) tao_social_media.get("source");
        logger.info("=======消费mq消息成功:userid:{},publish_time:{},source:{}=======",userid,publish_time,source);
        //数据库业务逻辑更新方法
        finacialMediaService.updateDetailUpdateTime(source, userid, publish_time);
    }

    //
    @Override
    public void run(ApplicationArguments applicationArguments) throws Exception {
        List uuids = new ArrayList<>();
        List finacialMediaBeans = new ArrayList();
        try {
            finacialMediaBeans = finacialMediaDao.getFinacialMedias();
            if((finacialMediaBeans != null && finacialMediaBeans.size() > 0)){
                for(FinacialMediaBean bean : finacialMediaBeans){
                    bean.set_total(null);
                    if (bean.getWechatUuid() != null){
                        uuids.add(bean.getWechatUuid());
                    }if (bean.getWeiboUuid() != null){
                        uuids.add(bean.getWeiboUuid());
                    }
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
        //缓存设置融媒体上线成功的的数据
        finacialMediaBeansCache.put("finacialMediaBeans",uuids);
    }
}

    @Value("${spring.rabbitmq.websearch.concurrentConsumers}") int concurrentConsumers;
    @Value("${spring.rabbitmq.websearch.maxConcurrentConsumers}") int maxConcurrentConsumers;
    @Value("${spring.rabbitmq.websearch.prefetchCount}") int prefetchCount;

//配置工厂方法
@Bean(name="recieveConnectionFactory")
    public ConnectionFactory recieveConnectionFactory(
            @Value("${spring.rabbitmq.websearch.addresses}") String addresses,
            @Value("${spring.rabbitmq.websearch.username}") String username,
            @Value("${spring.rabbitmq.websearch.password}") String password,
            @Value("${spring.rabbitmq.websearch.virtual-host}") String virtualHost
    ){
        CachingConnectionFactory connectionFactory = new CachingConnectionFactory();
        connectionFactory.setAddresses(addresses);
        connectionFactory.setUsername(username);
        connectionFactory.setPassword(password);
        connectionFactory.setVirtualHost(virtualHost);
        connectionFactory.setConnectionTimeout(150000);
        return connectionFactory;
    }



@Bean(name="websearchFactory")
    public SimpleRabbitListenerContainerFactory websearchFactory(
            SimpleRabbitListenerContainerFactoryConfigurer configurer,
            @Qualifier("recieveConnectionFactory") ConnectionFactory connectionFactory
    ) {
        SimpleRabbitListenerContainerFactory factory = new SimpleRabbitListenerContainerFactory();
        configurer.configure(factory, connectionFactory);
        factory.setAcknowledgeMode(AcknowledgeMode.AUTO);
        factory.setConcurrentConsumers(concurrentConsumers);
        factory.setMaxConcurrentConsumers(maxConcurrentConsumers);
        factory.setPrefetchCount(prefetchCount);
        factory.setDefaultRequeueRejected(true);
        return factory;
    }

@Bean(name="recieveRabbitTemplate")
    public RabbitTemplate sendRabbitTemplate(
            @Qualifier("recieveConnectionFactory") ConnectionFactory connectionFactory
    ){
        RabbitTemplate websearchRabbitTemplate = new RabbitTemplate(connectionFactory);
        return websearchRabbitTemplate;
    }

pom.xml文件引入依赖

    //缓存
    
            com.google.guava
            guava
            23.0
        
    

      
        
            org.springframework.boot
            spring-boot-starter-amqp
        

业务代码

public AjaxResponse updateDetailUpdateTime(String source, String userId, String detailUpdateTime) {
        AjaxResponse ajaxResponse = new AjaxResponse(AjaxResponse.AJAX_CODE_FAIL);
        //消费的mq数据 更新mysql逻辑
        List uuidList = (List) finacialMediaBeansCache.getIfPresent("finacialMediaBeans");
        if (uuidList != null) {
            //如果缓存中不存在该条数据则直接返回
            if(!uuidList.contains(userId)){
                logger.info("====此数据不在排行榜！userid:{},publish_time:{},source:{}=====",userId,detailUpdateTime,source);
                return new AjaxResponse(AjaxResponse.AJAX_CODE_SUCCESS);
            }
        }
        try {
            finacialMediaDao.updateDetailUpdateTime(source,userId,detailUpdateTime);

            Query query = Query.query(Criteria.where("weiboUuid").is(userId).andOperator(Criteria.where("detailUpdateTime").lt(detailUpdateTime)));
            if (Objects.equals(source, "weixin")){
                query = Query.query(Criteria.where("wechatUuid").is(userId).andOperator(Criteria.where("detailUpdateTime").lt(detailUpdateTime)));
            }
            Update update = new Update();
            update.set("detailUpdateTime", detailUpdateTime);
            WriteResult user = mongoTemplate.updateFirst(query, update, FinacialMediaBean.class,mediaCollection);
            ajaxResponse = new AjaxResponse(AjaxResponse.AJAX_CODE_SUCCESS);
        } catch (Exception e) {
            loggerError.error("====mysql、mongo数据库更新异常！userid:{},publish_time:{},source:{}=====",userId,detailUpdateTime,source);
            e.printStackTrace();
        }
        logger.info("====mysql、mongo数据库更新完成！userid:{},publish_time:{},source:{}=====",userId,detailUpdateTime,source);
        return ajaxResponse;
    }