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先说下业务场景，业务1：基于实时轨迹数据打卡，业务2：基于非实时轨迹的时间差，计算累计时长。 简单点说就是从websocket获取到的实时数据，既要兼容不耗时操作，又要兼容耗时操作。

单线程做的话，一两个用户的数据没问题，用户多了就处理不过来。

实现思路是用TaskExecutor来做，一个task接收从redis lPop的数据，并放入BlockingQueue，另外的task从BlockingQueue获取数据。

@Autowiredprivate TaskExecutor taskExecutor1;@Autowiredprivate TaskExecutor taskExecutor2;@Autowiredprivate TaskExecutor taskExecutor3;static BlockingQueue<TrackHistory> dataQueue = new ArrayBlockingQueue<>(1 << 12);static BlockingQueue<TrackHistory> keepWatchQueue = new ArrayBlockingQueue<>(1 << 12);public static final String M = ":";@Bean("redisReadThread")public String service() {taskExecutor1.execute(() -> {while (true) {try {lPop();} catch (Exception e) {e.printStackTrace();}}});return null;}@Bean("calculationsBusinessData")public void calculationsService() {taskExecutor2.execute(() -> {while (true) {try {if (dataQueue.size() != 0) {TrackHistory trackRealTime = dataQueue.poll();if (trackRealTime == null) {Thread.sleep(100L);} else {//耗时方法doSomething();//存储当前日期+人员的最新位置坐标saveTrackToRedis(trackRealTime);}} else {Thread.sleep(100L);}} catch (Exception e) {log.error("业务1数据计算异常->{}", e.getMessage());}}});}@Bean("calculationsKeepWatch")public void keepWatchService() {taskExecutor3.execute(() -> {while (true) {try {if (keepWatchQueue.size() != 0) {TrackHistory trackRealTime = keepWatchQueue.poll();if (trackRealTime == null) {Thread.sleep(100L);} else {doSomething2(trackRealTime);}} else {Thread.sleep(100L);}} catch (Exception e) {log.error("业务2数据计算异常->{}", e.getMessage());}}});}/*** 从队列中读取数据** @return*/private synchronized void lPop() {Object o = redisTemplate.opsForList().leftPop(RedisKeyCons.COORDINATE);if (!org.springframework.util.StringUtils.isEmpty(o)) {TrackHistory trackRealTime = (TrackHistory) o;log.info("leftPop trackHistory = {}", trackRealTime);if (null != trackRealTime) {if (checkMemberExist(trackRealTime)) {return;}//存储当前日期+人员的最新位置坐标saveTrackToRedisForKeepWatch(trackRealTime);dataQueue.add(trackRealTime);keepWatchQueue.add(trackRealTime);}}}

配置线程池

/*** 线程池配置、启用异步***/
@EnableAsync
@Configuration
public class AsycTaskExecutorConfig {@Bean(name="taskExecutor1")public TaskExecutor taskExecutor1() {ThreadPoolTaskExecutor taskExecutor = new ThreadPoolTaskExecutor();taskExecutor.setCorePoolSize(1);taskExecutor.setMaxPoolSize(1);return taskExecutor;}@Bean(name="taskExecutor2")public TaskExecutor taskExecutor2() {ThreadPoolTaskExecutor taskExecutor = new ThreadPoolTaskExecutor();//最大线程数taskExecutor.setMaxPoolSize(5);//核心线程数taskExecutor.setCorePoolSize(5);//任务队列的大小taskExecutor.setQueueCapacity(5);//线程前缀名
//        executor.setThreadNamePrefix();//线程存活时间taskExecutor.setKeepAliveSeconds(60);taskExecutor.setRejectedExecutionHandler(new ThreadPoolExecutor.AbortPolicy());//线程初始化return taskExecutor;}@Bean(name="taskExecutor3")public TaskExecutor taskExecutor3() {ThreadPoolTaskExecutor taskExecutor = new ThreadPoolTaskExecutor();//最大线程数taskExecutor.setMaxPoolSize(5);//核心线程数taskExecutor.setCorePoolSize(5);//任务队列的大小taskExecutor.setQueueCapacity(5);//线程前缀名
//        executor.setThreadNamePrefix();//线程存活时间taskExecutor.setKeepAliveSeconds(60);taskExecutor.setRejectedExecutionHandler(new ThreadPoolExecutor.AbortPolicy());//线程初始化return taskExecutor;}@Bean(name = "asyncPoolTaskExecutor")public ThreadPoolTaskExecutor executor() {ThreadPoolTaskExecutor taskExecutor = new ThreadPoolTaskExecutor();//核心线程数taskExecutor.setCorePoolSize(10);//线程池维护线程的最大数量,只有在缓冲队列满了之后才会申请超过核心线程数的线程taskExecutor.setMaxPoolSize(10);//缓存队列taskExecutor.setQueueCapacity(15);//设置线程的空闲时间,当超过了核心线程出之外的线程在空闲时间到达之后会被销毁taskExecutor.setKeepAliveSeconds(60);//异步方法内部线程名称taskExecutor.setThreadNamePrefix("async-");/*** 当线程池的任务缓存队列已满并且线程池中的线程数目达到maximumPoolSize，如果还有任务到来就会采取任务拒绝策略* 通常有以下四种策略：* ThreadPoolExecutor.AbortPolicy:丢弃任务并抛出RejectedExecutionException异常。* ThreadPoolExecutor.DiscardPolicy：也是丢弃任务，但是不抛出异常。* ThreadPoolExecutor.DiscardOldestPolicy：丢弃队列最前面的任务，然后重新尝试执行任务（重复此过程）* ThreadPoolExecutor.CallerRunsPolicy：重试添加当前的任务，自动重复调用 execute() 方法，直到成功*/taskExecutor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());taskExecutor.initialize();return taskExecutor;}}