• @EnableAsync @Asnc 以及4种拒绝策略


    根据不同的场景,可以选择不同的拒绝策略,如果任务非常重要,线程池队列满了,可以交由调用者线程同步处理.

    如果是一些不太重要日志,可以直接丢弃掉.

    如果一些可以丢弃,但是又需要知道被丢弃了,可以使用ThreadPoolExecutor.AbortPolicy(),在异常处理中记录日志

    /**
     * laizhenwei 2018-1-1 12:46:02
     */
    @Configuration
    @EnableAsync
    public class ExecutorConfig implements AsyncConfigurer {
    
        /**
         * 替换默认线程池,线程队列满了以后交给调用者执行,也就是同步执行
         * @return
         */
        @Override
        public Executor getAsyncExecutor() {
            ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
            executor.setCorePoolSize(7);
            executor.setMaxPoolSize(42);
            executor.setQueueCapacity(11);
            executor.setThreadNamePrefix("Executor-");
            executor.setAllowCoreThreadTimeOut(false);
            executor.setRejectedExecutionHandler( new ThreadPoolExecutor.CallerRunsPolicy());
            executor.initialize();
            return executor;
        }
    
        /**
         * 队列满了以后,抛弃任务,但是会抛出 rejectedExecution 如果不处理会中断线程
         * @return
         */
        @Bean
        public Executor myExecutor() {
            ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
            executor.setCorePoolSize(1);
            executor.setMaxPoolSize(2);
            executor.setQueueCapacity(20);
            executor.setThreadNamePrefix("MyExecutor-");
            executor.setAllowCoreThreadTimeOut(false);
            executor.setRejectedExecutionHandler( new ThreadPoolExecutor.AbortPolicy());
            executor.initialize();
            return executor;
        }
    
        /**
         * 队列满了,直接丢弃当前任务,不抛出异常
         * @return
         */
        @Bean
        public Executor myExecutor1() {
            ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
            executor.setCorePoolSize(1);
            executor.setMaxPoolSize(2);
            executor.setQueueCapacity(20);
            executor.setThreadNamePrefix("MyExecutor1-");
            executor.setAllowCoreThreadTimeOut(false);
            executor.setRejectedExecutionHandler( new ThreadPoolExecutor.DiscardPolicy());
            executor.initialize();
            return executor;
        }
    
        /**
         * 队列满了,丢弃最老的任务,不抛出异常
         * @return
         */
        @Bean
        public Executor myExecutor2() {
            ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
            executor.setCorePoolSize(1);
            executor.setMaxPoolSize(2);
            executor.setQueueCapacity(20);
            executor.setThreadNamePrefix("MyExecutor2-");
            executor.setAllowCoreThreadTimeOut(false);
            executor.setRejectedExecutionHandler( new ThreadPoolExecutor.DiscardOldestPolicy());
            executor.initialize();
            return executor;
        }
    
        @Override
        public AsyncUncaughtExceptionHandler getAsyncUncaughtExceptionHandler() {
            return new MyAsyncUncaughtExceptionHandler();
        }
    
        public static class MyAsyncUncaughtExceptionHandler implements AsyncUncaughtExceptionHandler{
            @Override
            public void handleUncaughtException(Throwable throwable, Method method, Object... objects) {
                System.out.println(throwable.getMessage());
            }
        }
    
    }

    调用方式使用 value 是bean 的名称

     @Async("myExecutor")

    如果异步处理的方法,涉及到jdbc事务,那么请先理解Spring事务的连接是保存在ThreadLocal中的原理,避免踩坑.

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  • 原文地址:https://www.cnblogs.com/sweetchildomine/p/8166707.html
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