package com.moral.api.config.Interceptor;
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import org.springframework.context.annotation.Bean;
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import org.springframework.context.annotation.Configuration;
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import org.springframework.scheduling.annotation.EnableAsync;
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import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
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import java.util.concurrent.ThreadPoolExecutor;
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//@Configuration
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@EnableAsync
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public class SyncConfiguration {
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@Bean(name = "asyncPoolTaskExecutor")
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public ThreadPoolTaskExecutor executor() {
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ThreadPoolTaskExecutor taskExecutor = new ThreadPoolTaskExecutor();
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//核心线程数
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taskExecutor.setCorePoolSize(10);
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//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
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taskExecutor.setMaxPoolSize(20);
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//缓存队列
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taskExecutor.setQueueCapacity(50);
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//许的空闲时间,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
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taskExecutor.setKeepAliveSeconds(200);
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//异步方法内部线程名称
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taskExecutor.setThreadNamePrefix("async-");
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/**
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* 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
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* 通常有以下四种策略：
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* ThreadPoolExecutor.AbortPolicy:丢弃任务并抛出RejectedExecutionException异常。
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* ThreadPoolExecutor.DiscardPolicy：也是丢弃任务，但是不抛出异常。
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* 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）
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* ThreadPoolExecutor.CallerRunsPolicy：重试添加当前的任务，自动重复调用 execute() 方法，直到成功
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*/
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taskExecutor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
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taskExecutor.initialize();
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return taskExecutor;
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}
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}
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