package com.yxcheng.token.common.threadpool;

import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

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

@Configuration
@EnableAsync
public class TokenThreadPool {

    @Value("${spring.threadPool.token.corePoolSize}")
    protected int corePoolSize = 10;//线程池维护线程的最少数量

    @Value("${spring.threadPool.token.maxPoolSize}")
    protected int maxPoolSize = 30;//线程池维护线程的最大数量

    @Value("${spring.threadPool.token.queueCapacity}")
    protected int queueCapacity = 8; //缓存队列

    @Value("${spring.threadPool.token.keepAlive}")
    protected int keepAlive = 60;//允许的空闲时间

    @Bean
    public Executor tokenExecutor() {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(corePoolSize);
        executor.setMaxPoolSize(maxPoolSize);
        executor.setQueueCapacity(queueCapacity);
        executor.setThreadNamePrefix("tokenExecutor-");
        // 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，而是由调用者所在的线程来执行
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy()); //对拒绝task的处理策略
        executor.setKeepAliveSeconds(keepAlive);
        executor.initialize();
        return executor;
    }
}
