package net.dbc.config;

import org.apache.http.client.HttpClient;
import org.apache.http.client.config.RequestConfig;
import org.apache.http.config.Registry;
import org.apache.http.config.RegistryBuilder;
import org.apache.http.conn.socket.ConnectionSocketFactory;
import org.apache.http.conn.socket.PlainConnectionSocketFactory;
import org.apache.http.conn.ssl.SSLConnectionSocketFactory;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClientBuilder;
import org.apache.http.impl.conn.PoolingHttpClientConnectionManager;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.http.client.ClientHttpRequestFactory;
import org.springframework.http.client.HttpComponentsClientHttpRequestFactory;
import org.springframework.http.client.SimpleClientHttpRequestFactory;
import org.springframework.web.client.RestTemplate;

/**
 * @author DBC
 * @version 1.0.0
 * @date 2022年09月05日 20:10:10
 * @website dbc655.top
 */
@Configuration
public class RestTemplateConfig {
    @Bean
    public RestTemplate restTemplate(ClientHttpRequestFactory requestFactory){
        return new RestTemplate(requestFactory);
    }

    @Bean
    public ClientHttpRequestFactory httpRequestFactory(){
        return new HttpComponentsClientHttpRequestFactory(httpClient());
    }
    @Bean
    public HttpClient httpClient(){
        Registry<ConnectionSocketFactory> registry = RegistryBuilder.<ConnectionSocketFactory>create()
                .register("http", PlainConnectionSocketFactory.getSocketFactory())
                .register("https", SSLConnectionSocketFactory.getSocketFactory())
                .build();

        PoolingHttpClientConnectionManager connectionManager = new PoolingHttpClientConnectionManager(registry);

        //设置整个连接池最大连接数
        connectionManager.setMaxTotal(500);

        //MaxPerRoute路由是对maxTotal的细分,每个主机的并发，这里route指的是域名
        connectionManager.setDefaultMaxPerRoute(200);
        RequestConfig requestConfig = RequestConfig.custom()
                //返回数据的超时时间
                .setSocketTimeout(20000)
                //连接上服务器的超时时间
                .setConnectTimeout(10000)

                //从连接池中获取连接的超时时间
                .setConnectionRequestTimeout(1000)
                .build();

        return HttpClientBuilder.create()
                .setDefaultRequestConfig(requestConfig)
                .setConnectionManager(connectionManager)
                .build();
    }

}

package net.dbc.config;

/**
 * @author DBC
 * @version 1.0.0
 * @date 2022年09月11日 11:28:38
 * @website dbc655.top
 */

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.ThreadPoolExecutor;



@Configuration
@EnableAsync
public class ThreadPoolTaskConfig {



    @Bean("threadPoolTaskExecutor")
    public ThreadPoolTaskExecutor threadPoolTaskExecutor(){

        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();

        //线程池创建的核心线程数，线程池维护线程的最少数量，即使没有任务需要执行，也会一直存活
        //如果设置allowCoreThreadTimeout=true（默认false）时，核心线程会超时关闭
        executor.setCorePoolSize(16);
        //executor.setAllowCoreThreadTimeOut();

        //阻塞队列 当核心线程数达到最大时，新任务会放在队列中排队等待执行
        executor.setQueueCapacity(124);

        //最大线程池数量，当线程数>=corePoolSize，且任务队列已满时。线程池会创建新线程来处理任务
        //任务队列已满时, 且当线程数=maxPoolSize，，线程池会拒绝处理任务而抛出异常
        executor.setMaxPoolSize(64);

        //当线程空闲时间达到keepAliveTime时，线程会退出，直到线程数量=corePoolSize
        //允许线程空闲时间30秒，当maxPoolSize的线程在空闲时间到达的时候销毁
        //如果allowCoreThreadTimeout=true，则会直到线程数量=0
        executor.setKeepAliveSeconds(30);

        //spring 提供的 ThreadPoolTaskExecutor 线程池，是有setThreadNamePrefix() 方法的。
        //jdk 提供的ThreadPoolExecutor 线程池是没有 setThreadNamePrefix() 方法的
        executor.setThreadNamePrefix("DBC-自定义线程池-");

        // rejection-policy：当pool已经达到max size的时候，如何处理新任务
        // CallerRunsPolicy()：交由调用方线程运行，比如 main 线程；如果添加到线程池失败，那么主线程会自己去执行该任务，不会等待线程池中的线程去执行
        // AbortPolicy()：该策略是线程池的默认策略，如果线程池队列满了丢掉这个任务并且抛出RejectedExecutionException异常。
        // DiscardPolicy()：如果线程池队列满了，会直接丢掉这个任务并且不会有任何异常
        // DiscardOldestPolicy()：丢弃队列中最老的任务，队列满了，会将最早进入队列的任务删掉腾出空间，再尝试加入队列

        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.AbortPolicy());

        executor.initialize();
        return executor;
    }


}

相信看起来也很简单，其他业务操作依然可以同理可得，主要是要学会这种池化的设计思想！[aru_50]