springcloud异步线程池、高并发请求feign解决方案

ScenTaskTestApplication.java

package com.test;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.openfeign.EnableFeignClients;

/**
* @author scen
* @version 2018年9月27日 上午11:51:04
*/

@EnableFeignClients
@SpringBootApplication
public class ScenTaskTestApplication {
    public static void main(String[] args) {
        SpringApplication.run(ScenTaskTestApplication.class, args);
    }
}

application.properties

spring.application.name=scen-task-test
server.port=9009
feign.hystrix.enabled=true
#熔断器失败的个数==进入熔断器的请求达到1000时服务降级(之后的请求直接进入熔断器)
hystrix.command.default.circuitBreaker.requestVolumeThreshold=1000
#回退最大线程数
hystrix.command.default.fallback.isolation.semaphore.maxConcurrentRequests=50
#核心线程池数量
hystrix.threadpool.default.coreSize=130
#请求处理的超时时间
hystrix.command.default.execution.isolation.thread.timeoutInMilliseconds=100000
ribbon.ReadTimeout=120000
#请求连接的超时时间
ribbon.ConnectTimeout=130000
eureka.instance.instance-id=${spring.application.name}:${spring.application.instance_id:${server.port}}
eureka.instance.preferIpAddress=true
eureka.client.service-url.defaultZone=http://127.0.0.1:9000/eureka
logging.level.com.test.user.service=debug
logging.level.org.springframework.boot=debug
logging.level.custom=info

AsyncConfig.java

package com.test;

import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.AsyncConfigurer;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

import java.util.concurrent.Executor;

/**
 * springboot异步线程池配置
 * @author Scen
 * @date 2018/11/7 18:28
 */
@Configuration
@EnableAsync
public class AsyncConfig implements AsyncConfigurer {
    
    
    @Override
    public Executor getAsyncExecutor() {
        //定义线程池
        ThreadPoolTaskExecutor taskExecutor = new ThreadPoolTaskExecutor();
        //核心线程数
        taskExecutor.setCorePoolSize(20);
        //线程池最大线程数
        taskExecutor.setMaxPoolSize(100);
        //线程队列最大线程数
        taskExecutor.setQueueCapacity(10);
        //初始化
        taskExecutor.initialize();
        return taskExecutor;
    }
}

DoTaskClass.java

package com.test;

import com.test.pojo.User;
import com.test.pojo.UserEducation;
import com.test.user.service.UserService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Component;

import java.util.List;

/**
 * 任务类 定义异步工作任务
 * @author Scen
 * @date 2018/11/7 18:40
 */
@Component
public class DoTaskClass {
    
    /**
     * 一个feign的客户端
     */
    private final UserService userService;
    
    @Autowired
    public DoTaskClass(UserService userService) {
        this.userService = userService;
    }
    
    /**
     * 核心任务
     *
     * @param uid
     */
    @Async
    public void dotask(String uid) {
        /**
         * 模拟复杂工作业务(109个线程同时通过feign请求微服务提供者)
         */
        {
            List<UserEducation> userEducationByUid = userService.findUserEducationByUid(uid);
            List<String> blackList = userService.getBlackList();
            String userSkilled = userService.getUserSkilled(uid);
            String userFollow = userService.getUserFollow(uid);
            User userById = userService.getUserById(uid);
            List<String> followList = userService.getFollowList(uid);
            int userActivityScore = userService.getUserActivityScore(uid);
        }
//        打印线程名称分辨是否为多线程操作
        System.out.println(Thread.currentThread().getName() + "===任务" + uid + "执行完成===");
    }
}

TestController.java

package com.test;

import com.test.pojo.User;
import com.test.user.service.UserService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import java.util.List;

/**
 * 测试案例
 * @author Scen
 * @date 2018/11/7 18:10
 */
@RestController
public class TestController {
    
    /**
     * 此处仅用此feign客户端请求微服务获取核心工作所需参数
     */
    private final UserService userService;
    
    /**
     * 核心工作异步算法
     */
    private final DoTaskClass doTaskClass;
    
    @Autowired
    public TestController(DoTaskClass doTaskClass, UserService userService) {
        this.doTaskClass = doTaskClass;
        this.userService = userService;
    }
    
    
    /**
     * 手动触发工作
     * @throws InterruptedException
     */
    @RequestMapping("/test")
    public void task() throws InterruptedException {
        /*
          取到1000个要执行任务的必备参数
         */
        List<User> userList = userService.findAllLite(1, 1000);
        for (int i = 0; i < userList.size(); i++) {
            try {
//              异步线程开始工作
                doTaskClass.dotask(userList.get(i).getId());
            } catch (Exception e) {
                /*
                  若并发线程数达到MaxPoolSize+QueueCapacity=110(参考AsyncConfig配置)会进入catch代码块
                  i--休眠3秒后重试(尝试进入线程队列:当且仅当109个线程有一个或多个线程完成异步任务时重试成功)
                 */
                i--;
                Thread.sleep(3000*3);
            }
            System.out.println(i);
        }
    }
    
}

相关线程池、超时时间等数量和大小按实际业务配置

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