如何优化Springboot线程池并发处理数据方式(springboot,开发技术)

可以放在application.propertes文件种也可以放在自己新建的config/文件目录下，注意：但是需要使用@PropertySource把配置文件进行加载。

用来定义如何创建一个ThreadPoolTaskExecutor，要使用@Configuration和@EnableAsync这两个注解，表示这是个配置类，并且是线程池的配置类

是异步线程的接口，便于测试

将Service层的服务异步化，在executeAsync()方法上增加注解@Async("asyncServiceExecutor")，asyncServiceExecutor方法是前面RCExecutorConfig.java中的方法名，表明executeAsync方法进入的线程池是asyncServiceExecutor方法创建的。

测试方面这里我加入了一个定时任务，使用的是corn表达式。（不懂得同学可以网上了解一下）

10:32:15.004 [async-service-1] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:15.004 [async-service-1] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:16.003 [async-service-2] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:16.004 [async-service-2] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:17.001 [async-service-3] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:17.001 [async-service-3] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:18.002 [async-service-4] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:18.003 [async-service-4] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:19.002 [async-service-5] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:19.003 [async-service-5] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:20.001 [async-service-6] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:20.002 [async-service-6] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:21.002 [async-service-7] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:21.002 [async-service-7] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:22.004 [async-service-8] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:22.005 [async-service-8] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:23.001 [async-service-1] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:23.003 [async-service-1] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:24.003 [async-service-2] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:24.003 [async-service-2] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:25.001 [async-service-3] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:25.001 [async-service-3] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:26.002 [async-service-4] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:26.002 [async-service-4] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:27.002 [async-service-5] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:27.003 [async-service-5] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:28.001 [async-service-6] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:28.001 [async-service-6] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:29.001 [async-service-7] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:29.002 [async-service-7] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:30.001 [async-service-8] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:30.001 [async-service-8] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:32:31.001 [async-service-1] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:32:31.001 [async-service-1] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync

还没完：

通过以上日志可以发现，[async-service-]是有多个线程的，显然已经在我们配置的线程池中执行了，表明每次请求都快速响应了，而耗时的操作都留给线程池中的线程去异步执行；

还有另一个问提就是，虽然已经用上了线程池，但是依然不清楚线程池当时的情况，有多少线程在执行，多少在队列中等待呢？于是这里我创建了一个ThreadPoolTaskExecutor的子类，可以把每次提交线程的时候都会将当前线程池的运行状况打印出来

其次：修改RCExecutorConfig.java的asyncServiceExecutor方法，

将ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor()改为ThreadPoolTaskExecutor executor = new VisiableThreadPoolTaskExecutor()

测试结果如下：

异步线程执行批量插入等耗时任务
10:41:35.003 [async-service-5] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:41:36.001 [sheduled-pool-1-thread-1] INFO c.a.a.e.t.VisiableThreadPoolTaskExecutor - async-service-, 2. do submit,taskCount [5], completedTaskCount [5], activeCount [0], queueSize [0]
10:41:36.001 [async-service-6] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:41:36.002 [async-service-6] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:41:37.001 [sheduled-pool-1-thread-7] INFO c.a.a.e.t.VisiableThreadPoolTaskExecutor - async-service-, 2. do submit,taskCount [6], completedTaskCount [6], activeCount [0], queueSize [0]
10:41:37.001 [async-service-7] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:41:37.002 [async-service-7] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:41:38.002 [sheduled-pool-1-thread-7] INFO c.a.a.e.t.VisiableThreadPoolTaskExecutor - async-service-, 2. do submit,taskCount [7], completedTaskCount [7], activeCount [0], queueSize [0]
10:41:38.002 [async-service-8] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:41:38.002 [async-service-8] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:41:39.001 [sheduled-pool-1-thread-7] INFO c.a.a.e.t.VisiableThreadPoolTaskExecutor - async-service-, 2. do submit,taskCount [8], completedTaskCount [8], activeCount [0], queueSize [0]
10:41:39.001 [async-service-1] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:41:39.002 [async-service-1] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:41:40.003 [sheduled-pool-1-thread-7] INFO c.a.a.e.t.VisiableThreadPoolTaskExecutor - async-service-, 2. do submit,taskCount [9], completedTaskCount [9], activeCount [0], queueSize [0]
10:41:40.003 [async-service-2] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:41:40.003 [async-service-2] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:41:41.001 [sheduled-pool-1-thread-7] INFO c.a.a.e.t.VisiableThreadPoolTaskExecutor - async-service-, 2. do submit,taskCount [10], completedTaskCount [10], activeCount [0], queueSize [0]
10:41:41.001 [async-service-3] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:41:41.001 [async-service-3] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:41:42.000 [sheduled-pool-1-thread-7] INFO c.a.a.e.t.VisiableThreadPoolTaskExecutor - async-service-, 2. do submit,taskCount [11], completedTaskCount [11], activeCount [0], queueSize [0]
10:41:42.000 [async-service-4] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:41:42.000 [async-service-4] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:41:43.001 [sheduled-pool-1-thread-7] INFO c.a.a.e.t.VisiableThreadPoolTaskExecutor - async-service-, 2. do submit,taskCount [12], completedTaskCount [12], activeCount [0], queueSize [0]
10:41:43.002 [async-service-5] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:41:43.003 [async-service-5] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:41:44.001 [sheduled-pool-1-thread-7] INFO c.a.a.e.t.VisiableThreadPoolTaskExecutor - async-service-, 2. do submit,taskCount [13], completedTaskCount [13], activeCount [0], queueSize [0]
10:41:44.001 [async-service-6] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync
异步线程执行批量插入等耗时任务
10:41:44.001 [async-service-6] INFO c.a.a.service.impl.AsyncServiceImpl - end executeAsync
10:41:45.000 [sheduled-pool-1-thread-7] INFO c.a.a.e.t.VisiableThreadPoolTaskExecutor - async-service-, 2. do submit,taskCount [14], completedTaskCount [14], activeCount [0], queueSize [0]
10:41:45.001 [async-service-7] INFO c.a.a.service.impl.AsyncServiceImpl - start executeAsync

解释：这里意思提交了14个任务，处理了14个任务，对列中还剩0个任务

10:41:45.000 [sheduled-pool-1-thread-7] INFO c.a.a.e.t.VisiableThreadPoolTaskExecutor - async-service-, 2. do submit,taskCount [14], completedTaskCount [14], activeCount [0], queueSize [0]