springboot2.0+线程池+Jmeter以模拟高并发

package com.cn.commodity.config;

import org.springframework.context.annotation.Scope;
import org.springframework.stereotype.Component;

@Component
@Scope("prototype")//spring 多例
public class BusinessThread implements Runnable{

    private String acceptStr;

    public BusinessThread(String acceptStr) {
        this.acceptStr = acceptStr;
    }

    public String getAcceptStr() {
        return acceptStr;
    }

    public void setAcceptStr(String acceptStr) {
        this.acceptStr = acceptStr;
    }

    @Override
    public void run() {
        //业务操作
        System.out.println("多线程已经处理订单插入系统，订单号："+acceptStr);

        //线程阻塞
        /*try {
            Thread.sleep(1000);
            System.out.println("多线程已经处理订单插入系统，订单号："+acceptStr);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }*/
    }
}

package com.cn.commodity.studyTest;

import com.cn.commodity.config.BusinessThread;
import org.springframework.beans.BeansException;
import org.springframework.beans.factory.BeanFactory;
import org.springframework.beans.factory.BeanFactoryAware;
import org.springframework.stereotype.Component;

import java.util.Map;
import java.util.Queue;
import java.util.concurrent.*;


@Component
public class TestThreadPoolManager implements BeanFactoryAware {

    //用于从IOC里取对象
    private BeanFactory factory; //如果实现Runnable的类是通过spring的application.xml文件进行注入,可通过 factory.getBean()获取，这里只是提一下

    // 线程池维护线程的最少数量
    private final static int CORE_POOL_SIZE = 2;
    // 线程池维护线程的最大数量
    private final static int MAX_POOL_SIZE = 10;
    // 线程池维护线程所允许的空闲时间
    private final static int KEEP_ALIVE_TIME = 0;
    // 线程池所使用的缓冲队列大小
    private final static int WORK_QUEUE_SIZE = 50;

    @Override
    public void setBeanFactory(BeanFactory beanFactory) throws BeansException {
        factory = beanFactory;
    }

    /**
     * 用于储存在队列中的订单,防止重复提交,在真实场景中，可用redis代替 验证重复
     */
    Map<String, Object> cacheMap = new ConcurrentHashMap<>();


    /**
     * 订单的缓冲队列,当线程池满了，则将订单存入到此缓冲队列
     */
    Queue<Object> msgQueue = new LinkedBlockingQueue<Object>();


    /**
     * 当线程池的容量满了，执行下面代码，将订单存入到缓冲队列
     */
    final RejectedExecutionHandler handler = new RejectedExecutionHandler() {
        @Override
        public void rejectedExecution(Runnable r, ThreadPoolExecutor executor) {
            //订单加入到缓冲队列
            msgQueue.offer(((BusinessThread) r).getAcceptStr());
            System.out.println("系统任务太忙了,把此订单交给(调度线程池)逐一处理，订单号：" + ((BusinessThread) r).getAcceptStr());
        }
    };


    /**创建线程池*/
    final ThreadPoolExecutor threadPool = new ThreadPoolExecutor(CORE_POOL_SIZE, MAX_POOL_SIZE, KEEP_ALIVE_TIME, TimeUnit.SECONDS, new ArrayBlockingQueue(WORK_QUEUE_SIZE), this.handler);


    /**将任务加入订单线程池*/
    public void addOrders(String orderId){
        System.out.println("此订单准备添加到线程池，订单号：" + orderId);
        //验证当前进入的订单是否已经存在
        if (cacheMap.get(orderId) == null) {
            cacheMap.put(orderId, new Object());
            BusinessThread businessThread = new BusinessThread(orderId);
            threadPool.execute(businessThread);
        }
    }

    /**
     * 线程池的定时任务----> 称为(调度线程池)。此线程池支持 定时以及周期性执行任务的需求。
     */
    final ScheduledExecutorService scheduler = Executors.newScheduledThreadPool(5);


    /**
     * 检查(调度线程池)，每秒执行一次，查看订单的缓冲队列是否有 订单记录，则重新加入到线程池
     */
    final ScheduledFuture scheduledFuture = scheduler.scheduleAtFixedRate(new Runnable() {
        @Override
        public void run() {
            //判断缓冲队列是否存在记录
            if(!msgQueue.isEmpty()){
                //当线程池的队列容量少于WORK_QUEUE_SIZE，则开始把缓冲队列的订单 加入到 线程池
                if (threadPool.getQueue().size() < WORK_QUEUE_SIZE) {
                    String orderId = (String) msgQueue.poll();
                    BusinessThread businessThread = new BusinessThread(orderId);
                    threadPool.execute(businessThread);
                    System.out.println("(调度线程池)缓冲队列出现订单业务，重新添加到线程池，订单号："+orderId);
                }
            }
        }
    }, 0, 1, TimeUnit.SECONDS);


    /**获取消息缓冲队列*/
    public Queue<Object> getMsgQueue() {
        return msgQueue;
    }

    /**终止订单线程池+调度线程池*/
    public void shutdown() {
        //true表示如果定时任务在执行，立即中止，false则等待任务结束后再停止
        System.out.println("终止订单线程池+调度线程池："+scheduledFuture.cancel(false));
        scheduler.shutdown();
        threadPool.shutdown();

    }
}

package com.cn.commodity.controller;

import com.cn.commodity.studyTest.TestThreadPoolManager;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RestController;

import java.util.Queue;
import java.util.UUID;


@RestController
public class TestController {

    @Autowired
    TestThreadPoolManager testThreadPoolManager;

    /**
     * 测试模拟下单请求 入口
     * @param id
     * @return
     */
    @GetMapping("/start/{id}")
    public String start(@PathVariable Long id) {
        //模拟的随机数
        String orderNo = System.currentTimeMillis() + UUID.randomUUID().toString();

        testThreadPoolManager.addOrders(orderNo);

        return "Test ThreadPoolExecutor start";
    }

    /**
     * 停止服务
     * @param id
     * @return
     */
    @GetMapping("/end/{id}")
    public String end(@PathVariable Long id) {

        testThreadPoolManager.shutdown();

        Queue q = testThreadPoolManager.getMsgQueue();
        System.out.println("关闭了线程服务，还有未处理的信息条数：" + q.size());
        return "Test ThreadPoolExecutor start";
    }
}