package com.xzx.log.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.scheduling.annotation.EnableAsync;
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import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
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import java.util.concurrent.Executor;
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import java.util.concurrent.ThreadPoolExecutor;
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@Configuration
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@EnableAsync
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public class AsyncConfig {
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private final static int corePoolSize = 10;
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private final static int maxPoolSize = 200;
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private final static int queueCapacity = 10;
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private final static int keepAliveSeconds = 60;
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@Bean
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public Executor taskExecutor() {
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//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。
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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.setKeepAliveSeconds(keepAliveSeconds);
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executor.setThreadNamePrefix("gc-log");
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// 设置拒绝策略
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/**
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* 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）
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* 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
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*/
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executor.setRejectedExecutionHandler(new ThreadPoolExecutor.DiscardPolicy());
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executor.initialize();
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return executor;
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}
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}
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