package com.mes.common.config;
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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.core.task.TaskExecutor;
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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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/**
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* <p> @Title AsyncTaskExecutorConfig
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* <p> @Description 异步线程池配置
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*
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* @author ACGkaka
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* @date 2023/4/24 19:48
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*/
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@EnableAsync
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@Configuration
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public class AsyncTaskExecutorConfig {
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/**
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* 核心线程数（线程池维护线程的最小数量）
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*/
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private int corePoolSize = 10;
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/**
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* 最大线程数（线程池维护线程的最大数量）
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*/
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private int maxPoolSize = 200;
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/**
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* 队列最大长度
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*/
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private int queueCapacity = 10;
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@Bean
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public TaskExecutor taskExecutor() {
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ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
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executor.setCorePoolSize(corePoolSize);
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executor.setMaxPoolSize(maxPoolSize);
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executor.setQueueCapacity(queueCapacity);
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executor.setThreadNamePrefix("MyExecutor-");
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// for passing in request scope context 转换请求范围的上下文
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// executor.setTaskDecorator(new ContextCopyingDecorator());
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// rejection-policy：当pool已经达到max size的时候，如何处理新任务
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// CALLER_RUNS：不在新线程中执行任务，而是有调用者所在的线程来执行
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executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
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executor.setWaitForTasksToCompleteOnShutdown(true);
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executor.initialize();
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return executor;
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}
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}
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