compose-analysis/src/main/java/com/keyware/composeanalysis/config/thread/TaskExecutePool.java

package com.keyware.composeanalysis.config.thread;

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

import java.util.concurrent.Executor;
import java.util.concurrent.ThreadPoolExecutor;

/**
 * 创建线程池配置类
 */
@Configuration
public class TaskExecutePool {
    /**
     * 核心线程数
     */
    private int coreThreadsSize = 20;

    /**
     * 最大线程数
     */
    private int maxThreadsSize = 50;

    /**
     * 存活时间
     */
    private int keepAliveSeconds = 60;

    /**
     * 队列容量
     */
    private int queueCapacity = 10000;


    @Bean
    public Executor taskExecutor() {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        //核心线程池大小
        executor.setCorePoolSize(coreThreadsSize);
        //最大线程数
        executor.setMaxPoolSize(maxThreadsSize);
        //队列容量
        executor.setQueueCapacity(queueCapacity);
        //活跃时间
        executor.setKeepAliveSeconds(keepAliveSeconds);
        //线程名字前缀
        executor.setThreadNamePrefix("analysis-exec-");
 
        // setRejectedExecutionHandler：当pool已经达到max size的时候，如何处理新任务
        // CallerRunsPolicy：不在新线程中执行任务，而是由调用者所在的线程来执行
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
         // 等待所有任务结束后再关闭线程池
        executor.setWaitForTasksToCompleteOnShutdown(true);

        executor.initialize();

        return executor;
    }
}