現在由于系統越來越復雜，導致很多接口速度變慢，這時候就會想到可以利用線程池來處理一些耗時并不影響系統的操作。

新建線程池配置文件。

@Configuration@EnableAsyncpublic class ExecutorConfig { private static final Logger logger = LoggerFactory.getLogger(ExecutorConfig.class); @Value('${async.executor.thread.core_pool_size}') private int corePoolSize; @Value('${async.executor.thread.max_pool_size}') private int maxPoolSize; @Value('${async.executor.thread.queue_capacity}') private int queueCapacity; @Value('${async.executor.thread.name.prefix}') private String namePrefix; @Bean(name = 'asyncServiceExecutor') public Executor asyncServiceExecutor() {logger.info('start asyncServiceExecutor');ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();//配置核心線程數executor.setCorePoolSize(corePoolSize);//配置最大線程數executor.setMaxPoolSize(maxPoolSize);//配置隊列大小executor.setQueueCapacity(queueCapacity);//配置線程池中的線程的名稱前綴executor.setThreadNamePrefix(namePrefix);// 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());//執行初始化executor.initialize();return executor; }}2. application.yml

@Value配置在application.yml，可以參考配置

# 異步線程配置async: executor: thread: # 配置核心線程數 core_pool_size: 10 # 配置最大線程數 max_pool_size: 20 # 配置隊列大小 queue_capacity: 99999 # 配置線程池中的線程的名稱前綴 name:prefix: async-service-3. AsyncService.java

創建一個 Service 接口，是異步線程的接口，將方法寫入其實現類即可

public interface AsyncService { /** * 執行異步任務的方法，參數自己可以添加 */ void executeAsync();}4. AsyncServiceImpl.java

實現類，用來寫業務邏輯

@Servicepublic class AsyncServiceImpl implements AsyncService { private static final Logger logger = LoggerFactory.getLogger(AsyncServiceImpl.class); @Override @Async('asyncServiceExecutor') public void executeAsync() {logger.info('start executeAsync');System.out.println('異步線程執行開始了');System.out.println('可以將耗時的操作放到這里執行了');logger.info('end executeAsync'); }}

++將 Service 層的服務異步化，在executeAsync()方法上增加注解@Async('asyncServiceExecutor')，asyncServiceExecutor方法是前面ExecutorConfig.java中的方法名，表明executeAsync方法進入的線程池是asyncServiceExecutor方法創建的。++

在控制器里面注入AsyncService，調用其中的方法即可

@Autowiredprivate AsyncService asyncService;@GetMapping('/async')public void async(){ asyncService.executeAsync();}6. 用Postman進行測試

打印log入下

2021-06-16 22:15:47.655 INFO 10516 --- [async-service-5] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync異步線程執行開始了可以將耗時的操作放到這里執行了2021-06-16 22:15:47.655 INFO 10516 --- [async-service-5] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync2021-06-16 22:15:47.770 INFO 10516 --- [async-service-1] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync異步線程執行開始了可以將耗時的操作放到這里執行了2021-06-16 22:15:47.770 INFO 10516 --- [async-service-1] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync2021-06-16 22:15:47.816 INFO 10516 --- [async-service-2] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync異步線程執行開始了可以將耗時的操作放到這里執行了2021-06-16 22:15:47.816 INFO 10516 --- [async-service-2] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync2021-06-16 22:15:48.833 INFO 10516 --- [async-service-3] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync異步線程執行開始了可以將耗時的操作放到這里執行了2021-06-16 22:15:48.834 INFO 10516 --- [async-service-3] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync2021-06-16 22:15:48.986 INFO 10516 --- [async-service-4] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync異步線程執行開始了可以將耗時的操作放到這里執行了2021-06-16 22:15:48.987 INFO 10516 --- [async-service-4] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync至此簡單的線程池已經實現了。

5.1 VisiableThreadPoolTaskExecutor.java

public class VisiableThreadPoolTaskExecutor extends ThreadPoolTaskExecutor { private static final Logger logger = LoggerFactory.getLogger(VisiableThreadPoolTaskExecutor.class); private void showThreadPoolInfo(String prefix) {ThreadPoolExecutor threadPoolExecutor = getThreadPoolExecutor();if (null == threadPoolExecutor) { return;}logger.info('{}, {},taskCount [{}], completedTaskCount [{}], activeCount [{}], queueSize [{}]',this.getThreadNamePrefix(),prefix,threadPoolExecutor.getTaskCount(),threadPoolExecutor.getCompletedTaskCount(),threadPoolExecutor.getActiveCount(),threadPoolExecutor.getQueue().size()); } @Override public void execute(Runnable task) {showThreadPoolInfo('1. do execute');super.execute(task); } @Override public void execute(Runnable task, long startTimeout) {showThreadPoolInfo('2. do execute');super.execute(task, startTimeout); } @Override public Future<?> submit(Runnable task) {showThreadPoolInfo('1. do submit');return super.submit(task); } @Override public <T> Future<T> submit(Callable<T> task) {showThreadPoolInfo('2. do submit');return super.submit(task); } @Override public ListenableFuture<?> submitListenable(Runnable task) {showThreadPoolInfo('1. do submitListenable');return super.submitListenable(task); } @Override public <T> ListenableFuture<T> submitListenable(Callable<T> task) {showThreadPoolInfo('2. do submitListenable');return super.submitListenable(task); }}

5.2 修改asyncServiceExecutor.java

修改ExecutorConfig.java的asyncServiceExecutor方法，將ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor()改為ThreadPoolTaskExecutor executor = new VisiableThreadPoolTaskExecutor()

@Bean(name = 'asyncServiceExecutor') public Executor asyncServiceExecutor() {logger.info('start asyncServiceExecutor');//在這里修改ThreadPoolTaskExecutor executor = new VisiableThreadPoolTaskExecutor();//配置核心線程數executor.setCorePoolSize(corePoolSize);//配置最大線程數executor.setMaxPoolSize(maxPoolSize);//配置隊列大小executor.setQueueCapacity(queueCapacity);//配置線程池中的線程的名稱前綴executor.setThreadNamePrefix(namePrefix);// 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());//執行初始化executor.initialize();return executor; }

5.3 使用Postman進行測試

2021-06-16 22:23:30.951 INFO 14088 --- [nio-8087-exec-2] u.d.e.e.i.VisiableThreadPoolTaskExecutor : async-service-, 2. do submit,taskCount [0], completedTaskCount [0], activeCount [0], queueSize [0]2021-06-16 22:23:30.952 INFO 14088 --- [async-service-1] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync異步線程執行開始了可以將耗時的操作放到這里執行了2021-06-16 22:23:30.953 INFO 14088 --- [async-service-1] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync2021-06-16 22:23:31.351 INFO 14088 --- [nio-8087-exec-3] u.d.e.e.i.VisiableThreadPoolTaskExecutor : async-service-, 2. do submit,taskCount [1], completedTaskCount [1], activeCount [0], queueSize [0]2021-06-16 22:23:31.353 INFO 14088 --- [async-service-2] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync異步線程執行開始了可以將耗時的操作放到這里執行了2021-06-16 22:23:31.353 INFO 14088 --- [async-service-2] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync2021-06-16 22:23:31.927 INFO 14088 --- [nio-8087-exec-5] u.d.e.e.i.VisiableThreadPoolTaskExecutor : async-service-, 2. do submit,taskCount [2], completedTaskCount [2], activeCount [0], queueSize [0]2021-06-16 22:23:31.929 INFO 14088 --- [async-service-3] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync異步線程執行開始了可以將耗時的操作放到這里執行了2021-06-16 22:23:31.930 INFO 14088 --- [async-service-3] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync2021-06-16 22:23:32.496 INFO 14088 --- [nio-8087-exec-7] u.d.e.e.i.VisiableThreadPoolTaskExecutor : async-service-, 2. do submit,taskCount [3], completedTaskCount [3], activeCount [0], queueSize [0]2021-06-16 22:23:32.498 INFO 14088 --- [async-service-4] c.u.d.e.executor.impl.AsyncServiceImpl : start executeAsync異步線程執行開始了可以將耗時的操作放到這里執行了2021-06-16 22:23:32.499 INFO 14088 --- [async-service-4] c.u.d.e.executor.impl.AsyncServiceImpl : end executeAsync

可以看到上面async-service-, 2. do submit,taskCount [3], completedTaskCount [3], activeCount [0], queueSize [0]關于線程的信息都打印出來了。

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