java 中多线程、 队列使用实例，处理大数据业务

场景： 从redis 订阅数据 调用线程来异步处理数据

直接上代码

定义线程管理类

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.BeansException;
import org.springframework.beans.factory.BeanFactory;
import org.springframework.beans.factory.BeanFactoryAware;
import org.springframework.stereotype.Component;
import org.springframework.util.StringUtils;import java.util.concurrent.*;/*** Created with IntelliJ IDEA.* @Description 线程池管理类*/
@Component
public class ThreadPoolManager implements BeanFactoryAware {private static Logger logger = LoggerFactory.getLogger(ThreadPoolManager.class);//用于从IOC里取对象private BeanFactory factory; //如果实现Runnable的类是通过spring的application.xml文件进行注入,可通过 factory.getBean()获取，这里只是提一下// 线程池维护线程的最少数量 （根据环境而定）private final static int CORE_POOL_SIZE = 10;// 线程池维护线程的最大数量 （根据环境而定）private final static int MAX_POOL_SIZE = 50;// 线程池维护线程所允许的空闲时间private final static int KEEP_ALIVE_TIME = 0;// 线程池所使用的缓冲队列大小 （此处队列设置 需要考虑处理数据的效率  内存的大小）private final static int WORK_QUEUE_SIZE = 99999;@Overridepublic void setBeanFactory(BeanFactory beanFactory) throws BeansException {factory = beanFactory;}// 消息队列public LinkedBlockingQueue<String> getMsgQueue() {return msgQueue;}LinkedBlockingQueue<String> msgQueue = new LinkedBlockingQueue<>();/*** 当线程池的容量满了，执行下面代码，将推送数据存入到缓冲队列*/final RejectedExecutionHandler handler = new RejectedExecutionHandler() {@Overridepublic void rejectedExecution(Runnable r, ThreadPoolExecutor executor) {String  temp = ((MsgHandleThread) r).getRecord();if (StringUtils.isEmpty(temp)) {msgQueue.offer(temp);}}};/*** 创建线程池*/final ThreadPoolExecutor threadPool = new ThreadPoolExecutor(CORE_POOL_SIZE, MAX_POOL_SIZE, KEEP_ALIVE_TIME, TimeUnit.SECONDS, new ArrayBlockingQueue(WORK_QUEUE_SIZE), this.handler);/*** 将任务加入线程池---执行数据处理*/public void addPushRecord(String  record) {MsgHandleThread subThread=new MsgHandleThread(record);threadPool.execute(subThread);}/*** 线程池的定时任务----> 称为(调度线程池)。此线程池支持 定时以及周期性执行任务的需求。*/final ScheduledExecutorService scheduler = Executors.newScheduledThreadPool(5);/*** 检查(调度线程池)，每秒执行一次，查看订单的缓冲队列是否有 订单记录，则重新加入到线程池*/final ScheduledFuture scheduledFuture = scheduler.scheduleAtFixedRate(new Runnable() {@Overridepublic void run() {//判断缓冲队列是否存在记录if (!msgQueue.isEmpty()) {//当线程池的队列容量少于WORK_QUEUE_SIZE，则开始把缓冲队列的订单 加入到 线程池if (threadPool.getQueue().size() < WORK_QUEUE_SIZE) {String record = msgQueue.poll();MsgHandleThread subThread=new MsgHandleThread(record);threadPool.execute(subThread);}}}}, 0, 1, TimeUnit.SECONDS);/*** 终止订单线程池+调度线程池*/public void shutdown() {//true表示如果定时任务在执行，立即中止，false则等待任务结束后再停止scheduledFuture.cancel(false);scheduler.shutdown();threadPool.shutdown();}
}

任务处理类

/*** Created with IntelliJ IDEA.* @Description 订阅数据 处理*/
@Component
@Scope("prototype")//spring 多例
public class MsgHandleThread implements Runnable {private Logger logger = LoggerFactory.getLogger(SubCheckDataThread.class);private IDataHandleService _serviceprivate String record;public SubCheckDataThread(String  _record) {this.record = _record;}public String getRecord() {return record;}@Overridepublic void run() {try {if (StringUtils.isEmpty(this.record)) {return;}// 无法注入是采用此方法if (_service== null) {_service= ApplicationContextProvider.getBean(IDataHandleService .class);}//TODO 具体业务logger.info("消费完成",record);} catch (Exception e) {e.printStackTrace();}}
}

调用

import com.yicheng.common.properties.SetProperties;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import java.util.concurrent.ExecutorService;/*** <p>* 订阅redis消息* </p>** @Author: zhuYaqiang* @Date: 2024/06/12*/
@Component
public class SubscribeCheckData {@Autowiredprivate ThreadPoolManager threadPoolManager;/**** @Description:  查岗信息订阅---redis* @Param: [message]* @return: void* @Author: zhuYaqiang* @Date: 2024/06/12*/public void receiveMessage(String message) {try {threadPoolManager.addPushRecord(message);} catch (Exception e) {e.printStackTrace();}}}

redis 订阅消息后调用线程池处理数据

package com.yicheng.subscribeRedis;import com.yicheng.common.properties.SetProperties;
import com.yicheng.subscribeRedis.alarm.SubscribeAlarmNoticeData;
import com.yicheng.subscribeRedis.check.SubscribeCheckData;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.listener.PatternTopic;
import org.springframework.data.redis.listener.RedisMessageListenerContainer;
import org.springframework.data.redis.listener.adapter.MessageListenerAdapter;/*** @title RedisSubscribeCHeck* @description* @create 2024/6/12 19:30*/
@Configuration
public class RedisMessageListener {@Autowiredprivate SetProperties setProperties;@BeanRedisMessageListenerContainer container(RedisConnectionFactory connectionFactory,MessageListenerAdapter listenerCheckAdapter, MessageListenerAdapter listenerAlarmNoticeAdapter) {RedisMessageListenerContainer container = new RedisMessageListenerContainer();container.setConnectionFactory(connectionFactory);listenerCheckAdapter.afterPropertiesSet();listenerAlarmNoticeAdapter.afterPropertiesSet();//订阅了的通道// 订阅查岗数据container.addMessageListener(listenerCheckAdapter, new PatternTopic(setProperties.getRedisCheckSub().getSubChannel()));//这个container 可以添加多个 messageListenerreturn container;}/*** 消息监听器适配器，绑定消息处理器，利用反射技术调用消息处理器的业务方法* 监听查岗消息* @param receiver* @return*/@BeanMessageListenerAdapter listenerCheckAdapter(SubscribeCheckData receiver) {return new MessageListenerAdapter(receiver, "receiveMessage");}/*** 消息监听器适配器，绑定消息处理器，利用反射技术调用消息处理器的业务方法*   监听报警通知信息* @param receiver* @return*/@BeanMessageListenerAdapter listenerAlarmNoticeAdapter(SubscribeAlarmNoticeData receiver) {return new MessageListenerAdapter(receiver, "receiveMessage");}}

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