/** * Created by zhiqi.shao on 2018/4/3. */ @EnableAsync @Configuration public class TaskPoolConfig { @Bean("taskExecutor") public Executor taskExecutor() { ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor(); executor.setCorePoolSize(10); executor.setMaxPoolSize(20); executor.setQueueCapacity(200); executor.setKeepAliveSeconds(60); executor.setThreadNamePrefix("taskExecutor-"); executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy()); return executor; } /** * 上面我们通过使用 ThreadPoolTaskExecutor创建了一个线程池,同时设置了以下这些参数: 核心线程数10:线程池创建时候初始化的线程数 最大线程数20:线程池最大的线程数,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 缓冲队列200:用来缓冲执行任务的队列 允许线程的空闲时间60秒: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 线程池名的前缀:设置好了之后可以方便我们定位处理任务所在的线程池 线程池对拒绝任务的处理策略:这里采用了 CallerRunsPolicy策略,当线程池没有处理能力的时候,该策略会直接在 execute 方法的调用线程中运行被拒绝的任务;如果执行程序已关闭,则会丢弃该任务 */ }
/** * Created by zhiqi.shao on 2018/4/3. */ @Component @Slf4j public class Task { public static Random random = new Random(); /** * 在定义了线程池之后,我们只需要在 @Async注解中指定线程池名即可,比如: * @throws Exception */ @Async("taskExecutor") public void dotaskOne() throws Exception{ log.info("任务一开始"); long start= System.currentTimeMillis(); Thread.sleep(random.nextInt(10000)); long end=System.currentTimeMillis(); log.info("完成任务一耗时:{} 毫秒",(end-start)); } @Async("taskExecutor") public void dotaskTwo() throws Exception{ log.info("任务二开始"); long start= System.currentTimeMillis(); Thread.sleep(random.nextInt(10000)); long end=System.currentTimeMillis(); log.info("完成任务二耗时:{} 毫秒",(end-start)); } @Async("taskExecutor") public void dotaskThree() throws Exception{ log.info("任务三开始"); long start= System.currentTimeMillis(); Thread.sleep(random.nextInt(10000)); long end=System.currentTimeMillis(); log.info("完成任务三耗时:{} 毫秒",(end-start)); }
/** * Created by zhiqi.shao on 2018/4/3. */ @RunWith(SpringJUnit4ClassRunner.class) @SpringBootTest(classes =MytestApplication.class) @WebAppConfiguration public class TestAsync { @Autowired private Task task; @Test public void test() throws Exception{ task.dotaskOne(); task.dotaskTwo(); task.dotaskThree(); Thread.currentThread().join(); } }