添加rabbitMq依賴
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-amqp</artifactId>
</dependency>
配置rabbitMq 服務器
服務端和消費端都要配置
#配置rabbitMq 服務器
spring.rabbitmq.host= 10.10.240.xxx
spring.rabbitmq.port= 5672
spring.rabbitmq.username= chijiaqi
spring.rabbitmq.password= 123456
服務端配置類
package cn.edu.nfu.jw.conf;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.amqp.core.*;
import org.springframework.amqp.rabbit.connection.CachingConnectionFactory;
import org.springframework.amqp.rabbit.connection.ConnectionFactory;
import org.springframework.amqp.rabbit.core.RabbitTemplate;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.beans.factory.config.ConfigurableBeanFactory;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Scope;
/*
* @Author : chijiaqi
* @CreateTime : 2020/4/14
* @Description :
*/
/**
Broker:它提供一種傳輸服務,它的角色就是維護一條從生產者到消費者的路線,保證數據能按照指定的方式進行傳輸,
Exchange:消息交換機,它指定消息按什麼規則,路由到哪個隊列。
Queue:消息的載體,每個消息都會被投到一個或多個隊列。
Binding:綁定,它的作用就是把exchange和queue按照路由規則綁定起來.
Routing Key:路由關鍵字,exchange根據這個關鍵字進行消息投遞。
vhost:虛擬主機,一個broker裏可以有多個vhost,用作不同用戶的權限分離。
Producer:消息生產者,就是投遞消息的程序.
Consumer:消息消費者,就是接受消息的程序.
Channel:消息通道,在客戶端的每個連接裏,可建立多個channel.
*/
@Configuration
public class RabbitConfig {
private final Logger logger = LoggerFactory.getLogger(this.getClass());
@Value("${spring.rabbitmq.host}")
private String host;
@Value("${spring.rabbitmq.port}")
private int port;
@Value("${spring.rabbitmq.username}")
private String username;
@Value("${spring.rabbitmq.password}")
private String password;
public static final String JW_EXCHANGE_DIRECT = "my-mq-exchange_A";
public static final String JW_QUEUE_DIRECT = "JwDirectQueue";
public static final String JW_ROUTINGKEY_DIRECT = "spring-boot-routingKey_A";
@Bean
public ConnectionFactory connectionFactory() {
CachingConnectionFactory connectionFactory = new CachingConnectionFactory(host,port);
connectionFactory.setUsername(username);
connectionFactory.setPassword(password);
connectionFactory.setVirtualHost("/");
connectionFactory.setPublisherConfirms(true);
return connectionFactory;
}
@Bean
@Scope(ConfigurableBeanFactory.SCOPE_PROTOTYPE)
//必須是prototype類型
public RabbitTemplate rabbitTemplate() {
RabbitTemplate template = new RabbitTemplate(connectionFactory());
return template;
}
/**
* 針對消費者配置
* 1. 設置交換機類型
* 2. 將隊列綁定到交換機
FanoutExchange: 將消息分發到所有的綁定隊列,無routingkey的概念
HeadersExchange :通過添加屬性key-value匹配
DirectExchange:按照routingkey分發到指定隊列
TopicExchange:多關鍵字匹配
*/
@Bean
public DirectExchange defaultExchange() {
return new DirectExchange(JW_EXCHANGE_DIRECT);
}
/**
* 獲取隊列A
* @return
*/
@Bean
public Queue queueA() {
return new Queue(JW_QUEUE_DIRECT, true); //隊列持久
}
//一個交換機可以綁定多個消息隊列,也就是消息通過一個交換機,可以分發到不同的隊列當中去。
@Bean
public Binding binding() {
return BindingBuilder.bind(queueA()).to(defaultExchange()).with(JW_ROUTINGKEY_DIRECT);
}
}
服務端發送消息
@Autowired
RabbitTemplate rabbitTemplate; //使用RabbitTemplate,這提供了接收/發送等等方法
rabbitTemplate.convertAndSend(RabbitConfig.JW_EXCHANGE_DIRECT, RabbitConfig.JW_ROUTINGKEY_DIRECT, JSON.toJSONString(jwlog));//jwlog爲消息實體類
消費端配置線程池
package cn.edu.nfu.jw.log.conf;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.task.TaskExecutor;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import java.util.concurrent.ThreadPoolExecutor;
/**
* @Auther: cjq
* @Date: 2020/4/15 11:33
* @Description:
* @version:V1.0
* 用到線程池的時候還需要創建Executors,spring中有十分優秀的支持,
* 就是註解@EnableAsync就可以使用多線程,@Async加在線程任務的方法上(需要異步執行的任務),
* 定義一個線程任務,通過spring提供的ThreadPoolTaskExecutor就可以使用線程池
*
*/
@Configuration
@EnableAsync
public class ThreadPoolConf {
@Bean
public ThreadPoolTaskExecutor logThreadPoolTaskExecutor() {
ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
// 設置核心線程數,默認爲1
executor.setCorePoolSize(10);
// 設置最大線程數,默認爲Integer.MAX_VALUE
executor.setMaxPoolSize(50);
// 設置隊列容量,一般需要設置值大於等於notifyScheduledMainExecutor.maxNum;默認爲Integer.MAX_VALUE
// executor.setQueueCapacity(2);
// 設置線程池維護線程所允許的空閒時間,默認爲60s
executor.setKeepAliveSeconds(300);
// 設置默認線程名稱
executor.setThreadNamePrefix("jw-thread-");
// 設置拒絕策略rejection-policy:當pool已經達到max size的時候,如何處理新任務 CALLER_RUNS:不在新線程中執行任務,而是有調用者所在的線程來執行
executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
// 等待所有任務結束後再關閉線程池
executor.setWaitForTasksToCompleteOnShutdown(true);
return executor;
}
}
線程池業務實現類
日誌存儲服務接口類
package cn.edu.nfu.jw.log.service;
import cn.edu.nfu.jw.log.domain.Jwlog;
/**
* <pre>
* 日誌存儲服務接口類
* </pre>
*
* @author chijiaqi
* @version 1.00.00
*
*/
public interface ILogStoreService {
/**
* 保存日誌
*
* @param jwlog
*/
public abstract void saveSqlLogs(Jwlog jwlog);
}
日誌存儲服務實現類
package cn.edu.nfu.jw.log.service.imple;
import cn.edu.nfu.jw.log.dao.JwlogDao;
import cn.edu.nfu.jw.log.domain.Jwlog;
import cn.edu.nfu.jw.log.service.ILogStoreService;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.springframework.scheduling.annotation.Async;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
/**
* @Auther: cjq
* @Date: 2020/4/15 11:33
* @Description:日誌存儲服務實現類
* @version:V1.0
*/
@Service
public class LogStoreServiceImpl implements ILogStoreService {
private static final Log log = LogFactory.getLog(LogStoreServiceImpl.class);
@Resource
protected ThreadPoolTaskExecutor logThreadPoolTaskExecutor;
@Resource
private JwlogDao<Jwlog> jwlogDao;
/*@Async("logThreadPoolTaskExecutor")
@Override
public void saveSqlLogs(Jwlog jwlog) {
try {
jwlogDao.save(jwlog);
} catch (Exception e) {
log.error("保存日誌到數據庫異常,具體異常信息爲:" + e.getMessage(), e);
}
}*/
@Override
public void saveSqlLogs(Jwlog jwlog) {
try {
logThreadPoolTaskExecutor.execute(new SqlLogSaveServiceImpl(jwlog));
} catch (Exception e) {
log.error("保存日誌異常,異常信息爲:" + e.getMessage(), e);
}
}
/**
* @Auther: cjq
* @Date: 2020/4/15 11:33
* @Description:日誌保存服務類
* @version:V1.0
*/
class SqlLogSaveServiceImpl implements Runnable {
private Jwlog jwlog;
public SqlLogSaveServiceImpl(Jwlog jwlog) {
super();
this.jwlog = jwlog;
}
public void run() {
try {
jwlogDao.save(jwlog);
} catch (Exception e) {
log.error("保存日誌到數據庫異常,具體異常信息爲:" + e.getMessage(), e);
}
}
}
}
消費端接收消息
package cn.edu.nfu.jw.log.listener;
import cn.edu.nfu.jw.conf.RabbitConfig;
import cn.edu.nfu.jw.exception.ServiceException;
import cn.edu.nfu.jw.log.controller.JwlogController;
import cn.edu.nfu.jw.log.domain.Jwlog;
import cn.edu.nfu.jw.log.service.ILogStoreService;
import com.alibaba.fastjson.JSON;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.springframework.amqp.rabbit.annotation.RabbitHandler;
import org.springframework.amqp.rabbit.annotation.RabbitListener;
import org.springframework.stereotype.Component;
import javax.annotation.Resource;
/**
* 日誌消費
*/
@Component
@RabbitListener(queues = RabbitConfig.JW_QUEUE_DIRECT)//監聽的隊列名稱 JwDirectQueue
public class DirectReceiver {
private static final Log log = LogFactory.getLog(JwlogController.class);
@Resource
private ILogStoreService logStoreService;
@RabbitHandler
public void process(String jsonStr) {
log.info("DirectReceiver消費者收到消息 : " + jsonStr);
try{
Jwlog jwlog = JSON.parseObject(jsonStr,Jwlog.class);
//通過線程池,開啓多線程來保存日誌
logStoreService.saveSqlLogs(jwlog);
}catch (Exception e){
log.error("從MQ隊列裏面獲取信息保存異常,異常信息爲:"+e.getMessage(),e);
throw new ServiceException(-1,"從MQ隊列裏面獲取信息保存異常,異常信息爲:"+e.getMessage());
}
}
}