多线程异步调用的使用场景：在复杂业务逻辑中，交易链路过长，使用多线程异步服务来提高效率

1、线程池配置类

package com.fbank.dis_midware.config;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
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.ExecutorService;
import java.util.concurrent.ThreadPoolExecutor;

/**
 * 线程池配置
 */
@Configuration
@EnableAsync//开启异步调用
public class ThreadExecutorConfig {

    private final Logger logger = LoggerFactory.getLogger(this.getClass());
    /** 核心线程数 */
    private int corePoolSize = 10;
    /** 最大线程数 */
    private int maxPoolSize = 200;
    /** 队列数 */
    private int queueCapacity = 10;

    /**
     * @Configuration = <beans></beans>
     * @Bean = <bean></bean>
     * 返回值类型为<bean></bean>中的属性"class"对应的value
     * 方法名为<bean></bean>中的属性"id"对应的value
     * @return
     */
    @Bean
    public ExecutorService testFxbDrawExecutor(){
        logger.info("start executor testExecutor ");
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(corePoolSize);
        executor.setMaxPoolSize(maxPoolSize);
        executor.setQueueCapacity(queueCapacity);
        executor.setThreadNamePrefix("test-fxb-draw-service-");

        // 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，而是有调用者所在的线程来执行
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
        // 执行初始化
        executor.initialize();
        return executor.getThreadPoolExecutor();
    }

} 

2、依赖注入异步服务

注：配置的name值，引用上面配置的方法名，即 <bean> 的 id

3、实际应用中的代码（业务逻辑中的一段代码），至此已经可以在业务中使用多线程了：

Future<Map> queryAcct = asyncService.submit(() -> {
    logger.info("--------------------1.1二类户查询------------------");
    return accountInfoApi.queryCardInfo(conCurrParams);
});

Future<String> queryCoreDate = asyncService.submit(() -> {
    logger.info("--------------------1.2查询核心时间------------------");
    return getCoreDateService.getCoreDate();
});

Future<Map> queryCustomCertifiedInfo = asyncService.submit(() -> {
    logger.info("--------------------1.3验证身份证到期日------------------");
    return customInfoApi.queryCustomCertifiedInfo(conCurrParams);
});

try {
    Map acctInfo = queryAcct.get();//异步调dubbo查询二类户的返回结果
    String coreDate = queryCoreDate.get();//异步调dubbo查询核心时间的返回结果
    Map customCertifiedInfo = queryCustomCertifiedInfo.get();//异步调dubbo查询身份证信息的返回结果
} catch (Exception e) {
    e.printStackTrace();
}

4、代码解释：