多线程处理并有序整合数据方案

方案设想

  • 多线程异步“并行”处理待处理数据【for+线程池单例创实例和回收】
    • 防止处理过程中线程数过大,内存溢出,导致处理失败,例如持续for中new Thread
  • 保证并行的线程处理个数【CountDownLatch】
    • 防止线程池未全部结束就开始进行处理,这里设置线程都返回出具再进行处理
  • 异步处理线程安全key-Object数据结构【ConcurrentHashMap】
    • 防止处理过程中漏处理,例如HashMap实测线程不安全,处理数据会<=实际数据量
  • 业务耗时模拟【Thread.sleep】
    • 模拟业务处理耗时,注意单独异常捕获,防止造成中断退出

样例

  • 线程池

    import com.peng.common.util.LogUtils;
    
    import java.util.concurrent.ArrayBlockingQueue;
    import java.util.concurrent.Future;
    import java.util.concurrent.ThreadPoolExecutor;
    import java.util.concurrent.TimeUnit;
    
    public class BusinessThreadPool {
    
        private ThreadPoolExecutor threadPool;
        private volatile static BusinessThreadPool instance = null;
        private int corePoolSize = 100;
        private int maximumPoolSize = 200;
        private long keepAliveTime = 500L;
    
        private BusinessThreadPool() {
            initPool();
        }
    
        public static BusinessThreadPool getInstance() {
            if (null == instance) {
                synchronized (BusinessThreadPool.class) {
                    if (null == instance) {
                        instance = new BusinessThreadPool();
                    }
                }
            }
            return instance;
        }
    
        private void initPool() {
            try {
                this.threadPool = new ThreadPoolExecutor(corePoolSize, maximumPoolSize,
                        keepAliveTime, TimeUnit.SECONDS,
                        new ArrayBlockingQueue<Runnable>(maximumPoolSize),
                        new ThreadPoolExecutor.CallerRunsPolicy());
    
                Runtime.getRuntime().addShutdownHook(new Thread() {
                    @Override
                    public void run() {
                        threadPool.shutdown();
                    }
                });
            } catch (Exception e) {
                LogUtils.root.error("Exception:{}", e);
            }
        }
    
        public void execute(Runnable thread) {
            this.threadPool.execute(thread);
        }
    
        public Future<?> submit(Runnable thread) {
            return this.threadPool.submit(thread);
        }
    
        public int getActivityNum() {
            return this.threadPool.getActiveCount();
        }
    
    }
    
  • 业务处理

    import com.alibaba.fastjson.JSON;
    import lombok.SneakyThrows;
    
    import java.util.ArrayList;
    import java.util.List;
    import java.util.Map;
    import java.util.concurrent.ConcurrentHashMap;
    import java.util.concurrent.CountDownLatch;
    
    public class MoreThreadDealTest {
        public static void main(String[] args) {
            //模拟厂商并发处理
            for (int i = 1; i <= 4; i++) {
                int fiI = i;
                new Thread(new Runnable() {
                    @Override
                    public void run() {
                        deal(fiI + "处理===");
                    }
                }).start();
            }
    
        }
    
        public static void deal(String logHead) {
            final Map<Integer, String> resMap = new ConcurrentHashMap<>();//线程安全Map
            List<String> resList = new ArrayList<>();
            List<String> datas = new ArrayList<>();
            //模拟数据
            for (int q = 1; q <= 100; q++) {
                datas.add("" + q);
            }
            final CountDownLatch latch1 = new CountDownLatch(datas.size());
            long startTime = System.currentTimeMillis();
            try {
                for (int i = 0; i < datas.size(); i++) {
                    int finalI = i;
                    Runnable runnable = new Runnable() {
                        @SneakyThrows
                        @Override
                        public void run() {
                            try {
                                resMap.put(finalI, datas.get(finalI) + "处理了");
                                try {
                                    Thread.sleep(3000);//业务耗时模拟
                                } catch (Exception e) {
                                    System.out.println(logHead + "sleep异常" + e.getMessage());
                                }
                                System.out.println(logHead + "当前池线程个数==" + BusinessThreadPool.getInstance().getActivityNum());
                            } catch (Throwable e) {
                                System.out.println(logHead + "deal异常" + e.getMessage());
                            } finally {
                                latch1.countDown();
                            }
                        }
                    };
                    BusinessThreadPool.getInstance().execute(runnable);
                }
                System.out.println();
                latch1.await();
            } catch (Exception e) {
                System.out.print(logHead + "外层try异常了");
            } finally {
            }
            long endTime = System.currentTimeMillis();
            System.out.println();
            System.out.println(logHead + "---多线程异步处理耗时:" + (endTime - startTime));
    
            int size = resMap.size();
            for (int j = 0; j < size; j++) {
                resList.add(resMap.get(j));
            }
            System.out.println();
            System.out.println(logHead + "【处理后数据结构】" + JSON.toJSONString(resList));
            System.out.println();
            System.out.println(logHead + "===resList结果大小" + resList.size());
            long endTime2 = System.currentTimeMillis();
            System.out.println();
            System.out.println(logHead + "===总处理耗时:" + (endTime2 - startTime));
        }
    }
    

日志实例

  • 日志(部分)

    2处理===当前池线程个数==200
    2处理===当前池线程个数==200
    2处理===当前池线程个数==200
    2处理===当前池线程个数==200
    2处理===当前池线程个数==200
    2处理===当前池线程个数==200
    
    3处理===当前池线程个数==200
    
    4处理===当前池线程个数==139
    4处理===当前池线程个数==138
    4处理===当前池线程个数==137
    4处理===当前池线程个数==136
    4处理===当前池线程个数==135
    
    4处理===---多线程异步处理耗时:6053
    
    1处理===当前池线程个数==135
    1处理===当前池线程个数==134
    1处理===当前池线程个数==133
    1处理===当前池线程个数==32
    
    1处理===---多线程异步处理耗时:6069
    
    2处理===当前池线程个数==31
    2处理===当前池线程个数==30
    2处理===当前池线程个数==29
    2处理===当前池线程个数==28
    2处理===当前池线程个数==27
    2处理===当前池线程个数==26
    2处理===当前池线程个数==14
    2处理===当前池线程个数==13
    2处理===当前池线程个数==12
    2处理===当前池线程个数==11
    2处理===当前池线程个数==10
    2处理===当前池线程个数==9
    3处理===当前池线程个数==8
    
    3处理===---多线程异步处理耗时:6080
    
    2处理===当前池线程个数==7
    2处理===当前池线程个数==6
    2处理===当前池线程个数==5
    2处理===当前池线程个数==4
    2处理===当前池线程个数==3
    2处理===当前池线程个数==2
    2处理===当前池线程个数==1
    
    2处理===---多线程异步处理耗时:6080
    
    2处理===【处理后数据结构】["1处理了","2处理了","3处理了","4处理了","5处理了","6处理了","7处理了","8处理了","9处理了","10处理了","11处理了","12处理了","13处理了","14处理了","15处理了","16处理了","17处理了","18处理了","19处理了","20处理了","21处理了","22处理了","23处理了","24处理了","25处理了","26处理了","27处理了","28处理了","29处理了","30处理了","31处理了","32处理了","33处理了","34处理了","35处理了","36处理了","37处理了","38处理了","39处理了","40处理了","41处理了","42处理了","43处理了","44处理了","45处理了","46处理了","47处理了","48处理了","49处理了","50处理了","51处理了","52处理了","53处理了","54处理了","55处理了","56处理了","57处理了","58处理了","59处理了","60处理了","61处理了","62处理了","63处理了","64处理了","65处理了","66处理了","67处理了","68处理了","69处理了","70处理了","71处理了","72处理了","73处理了","74处理了","75处理了","76处理了","77处理了","78处理了","79处理了","80处理了","81处理了","82处理了","83处理了","84处理了","85处理了","86处理了","87处理了","88处理了","89处理了","90处理了","91处理了","92处理了","93处理了","94处理了","95处理了","96处理了","97处理了","98处理了","99处理了","100处理了"]
    
    2处理======resList结果大小100
    
    2处理======总处理耗时:6144
    3处理===【处理后数据结构】["1处理了","2处理了","3处理了","4处理了","5处理了","6处理了","7处理了","8处理了","9处理了","10处理了","11处理了","12处理了","13处理了","14处理了","15处理了","16处理了","17处理了","18处理了","19处理了","20处理了","21处理了","22处理了","23处理了","24处理了","25处理了","26处理了","27处理了","28处理了","29处理了","30处理了","31处理了","32处理了","33处理了","34处理了","35处理了","36处理了","37处理了","38处理了","39处理了","40处理了","41处理了","42处理了","43处理了","44处理了","45处理了","46处理了","47处理了","48处理了","49处理了","50处理了","51处理了","52处理了","53处理了","54处理了","55处理了","56处理了","57处理了","58处理了","59处理了","60处理了","61处理了","62处理了","63处理了","64处理了","65处理了","66处理了","67处理了","68处理了","69处理了","70处理了","71处理了","72处理了","73处理了","74处理了","75处理了","76处理了","77处理了","78处理了","79处理了","80处理了","81处理了","82处理了","83处理了","84处理了","85处理了","86处理了","87处理了","88处理了","89处理了","90处理了","91处理了","92处理了","93处理了","94处理了","95处理了","96处理了","97处理了","98处理了","99处理了","100处理了"]
    
    3处理======resList结果大小100
    
    3处理======总处理耗时:6145
    1处理===【处理后数据结构】["1处理了","2处理了","3处理了","4处理了","5处理了","6处理了","7处理了","8处理了","9处理了","10处理了","11处理了","12处理了","13处理了","14处理了","15处理了","16处理了","17处理了","18处理了","19处理了","20处理了","21处理了","22处理了","23处理了","24处理了","25处理了","26处理了","27处理了","28处理了","29处理了","30处理了","31处理了","32处理了","33处理了","34处理了","35处理了","36处理了","37处理了","38处理了","39处理了","40处理了","41处理了","42处理了","43处理了","44处理了","45处理了","46处理了","47处理了","48处理了","49处理了","50处理了","51处理了","52处理了","53处理了","54处理了","55处理了","56处理了","57处理了","58处理了","59处理了","60处理了","61处理了","62处理了","63处理了","64处理了","65处理了","66处理了","67处理了","68处理了","69处理了","70处理了","71处理了","72处理了","73处理了","74处理了","75处理了","76处理了","77处理了","78处理了","79处理了","80处理了","81处理了","82处理了","83处理了","84处理了","85处理了","86处理了","87处理了","88处理了","89处理了","90处理了","91处理了","92处理了","93处理了","94处理了","95处理了","96处理了","97处理了","98处理了","99处理了","100处理了"]
    
    1处理======resList结果大小100
    
    1处理======总处理耗时:6142
    4处理===【处理后数据结构】["1处理了","2处理了","3处理了","4处理了","5处理了","6处理了","7处理了","8处理了","9处理了","10处理了","11处理了","12处理了","13处理了","14处理了","15处理了","16处理了","17处理了","18处理了","19处理了","20处理了","21处理了","22处理了","23处理了","24处理了","25处理了","26处理了","27处理了","28处理了","29处理了","30处理了","31处理了","32处理了","33处理了","34处理了","35处理了","36处理了","37处理了","38处理了","39处理了","40处理了","41处理了","42处理了","43处理了","44处理了","45处理了","46处理了","47处理了","48处理了","49处理了","50处理了","51处理了","52处理了","53处理了","54处理了","55处理了","56处理了","57处理了","58处理了","59处理了","60处理了","61处理了","62处理了","63处理了","64处理了","65处理了","66处理了","67处理了","68处理了","69处理了","70处理了","71处理了","72处理了","73处理了","74处理了","75处理了","76处理了","77处理了","78处理了","79处理了","80处理了","81处理了","82处理了","83处理了","84处理了","85处理了","86处理了","87处理了","88处理了","89处理了","90处理了","91处理了","92处理了","93处理了","94处理了","95处理了","96处理了","97处理了","98处理了","99处理了","100处理了"]
    
    4处理======resList结果大小100
    
    4处理======总处理耗时:6150
    
  • 解读

    1. resList结果大小100 --ConcurrentHashMap 数据结构ok
    2. 总处理耗时 --模拟4个厂商,每个厂商100个,每个任务3秒,耗时6秒ok
    3. 前池线程个数 --动态重复使用和衰减,可行
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