package com.xzx.log.config;

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 AsyncConfig {
    private final  static int corePoolSize = 10;
    private final  static int maxPoolSize = 200;
    private final  static int queueCapacity = 10;
    private final  static int keepAliveSeconds = 60;
    @Bean
    public Executor taskExecutor() {
        //核心线程corePoolSize、任务队列workQueue、最大线程 maximumPoolSize，如果三者都满了，使用handler处理被拒绝的任务。
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(corePoolSize);
        executor.setMaxPoolSize(maxPoolSize);
        executor.setQueueCapacity(queueCapacity);
        executor.setKeepAliveSeconds(keepAliveSeconds);
        executor.setThreadNamePrefix("gc-log");
        // 设置拒绝策略
        /**
         * AbortPolicy 丢弃任务，抛运行时异常 CallerRunsPolicy 执行任务 P:当线程池满以后，队列达到最大值时，异步先会变为同步执行，影响主线程性能，请结合业务场景，具体分析使用（本人亲测）
         * DiscardPolicy 忽视，什么都不会发生 DiscardOldestPolicy 从队列中踢出最先进入队列（最后一个执行）的任务
         */
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.DiscardPolicy());
        executor.initialize();
        return executor;
    }
}