package com.mes.common.config;

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.task.TaskExecutor;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

import java.util.concurrent.ThreadPoolExecutor;

/**
 * <p> @Title AsyncTaskExecutorConfig
 * <p> @Description 异步线程池配置
 *
 * @author ACGkaka
 * @date 2023/4/24 19:48
 */
@EnableAsync
@Configuration
public class AsyncTaskExecutorConfig {

    /**
     * 核心线程数（线程池维护线程的最小数量）
     */
    private int corePoolSize = 10;
    /**
     * 最大线程数（线程池维护线程的最大数量）
     */
    private int maxPoolSize = 200;
    /**
     * 队列最大长度
     */
    private int queueCapacity = 10;

    @Bean
    public TaskExecutor taskExecutor() {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(corePoolSize);
        executor.setMaxPoolSize(maxPoolSize);
        executor.setQueueCapacity(queueCapacity);
        executor.setThreadNamePrefix("MyExecutor-");
        // for passing in request scope context 转换请求范围的上下文
//        executor.setTaskDecorator(new ContextCopyingDecorator());
        // rejection-policy：当pool已经达到max size的时候，如何处理新任务
        // 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
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
        executor.setWaitForTasksToCompleteOnShutdown(true);
        executor.initialize();
        return executor;
    }
}