一、java代码模拟并发

1.1、一次并发

单次并发测试

1、使用CountDownLatch

　　等待一个或多个线程一起执行

　　详细参看：007-多线程-锁-JUC锁-CountDownLatch-闭锁【允许一个或多个线程，等待其他一组线程完成操作，再继续执行】

示例代码

    @Test

    public void poolCountDownLatch() throws Exception {

        int parrelnum=100;

        //所有线程阻塞，然后统一开始

        CountDownLatch begin = new CountDownLatch(1);

        //主线程阻塞，直到所有分线程执行完毕

        CountDownLatch end = new CountDownLatch(parrelnum);

        List<Future<String>> futureList = new ArrayList<>();

        ExecutorService fixedThreadPool = Executors.newFixedThreadPool(parrelnum);

        for (int i = 0; i < parrelnum; i++) {

            Future<String> submit = fixedThreadPool.submit(() -> {

                try {

                    //begin 阻塞所有线程

                    begin.await();

                    System.out.println("======-----------------------------"+ LocalDateTime.now());

//                    System.out.println("======-----------------------------"+ LocalDateTime.now()

//                            +":"+Thread.currentThread().getName()

//                            +"；守护线程："+Thread.currentThread().isDaemon());

                    Thread.sleep(new Random().nextInt(2000));

                } catch (InterruptedException e) {

                    e.printStackTrace();

                }

                finally {

                    //end 执行完代码减一

                    end.countDown();

                }

                return "ok:"+LocalDateTime.now();

            });

            futureList.add(submit);

        }

        fixedThreadPool.shutdown();

        try {

            System.out.println(LocalDateTime.now()+":"+"1秒后统一开始");

            Thread.sleep(1000);

            //begin 减一 = 0 唤醒 阻塞的所有线程

            begin.countDown();

            for (Future<String> future : futureList) {

                System.out.println(future.get());

            }

            //end 等待所有代码执行完毕

            end.await();

            System.out.println(LocalDateTime.now()+":"+"全部结束");

        } catch (InterruptedException e) {

            e.printStackTrace();

        }

    }

输出：

2019-08-02T22:58:23.762:1秒后统一开始

======-----------------------------2019-08-02T22:58:24.764

======-----------------------------2019-08-02T22:58:24.764

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======-----------------------------2019-08-02T22:58:24.764

======-----------------------------2019-08-02T22:58:24.764

======-----------------------------2019-08-02T22:58:24.764

======-----------------------------2019-08-02T22:58:24.764

======-----------------------------2019-08-02T22:58:24.764

======-----------------------------2019-08-02T22:58:24.764

======-----------------------------2019-08-02T22:58:24.765

======-----------------------------2019-08-02T22:58:24.764

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======-----------------------------2019-08-02T22:58:24.768

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======-----------------------------2019-08-02T22:58:24.768

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======-----------------------------2019-08-02T22:58:24.773

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======-----------------------------2019-08-02T22:58:24.769

======-----------------------------2019-08-02T22:58:24.769

ok:2019-08-02T22:58:24.924

ok:2019-08-02T22:58:25.803

ok:2019-08-02T22:58:26.473

ok:2019-08-02T22:58:25.947

ok:2019-08-02T22:58:25.891

ok:2019-08-02T22:58:25.859

ok:2019-08-02T22:58:25.457

ok:2019-08-02T22:58:26.443

ok:2019-08-02T22:58:25.457

ok:2019-08-02T22:58:26.157

ok:2019-08-02T22:58:25.003

ok:2019-08-02T22:58:24.979

ok:2019-08-02T22:58:25.698

ok:2019-08-02T22:58:25.084

ok:2019-08-02T22:58:25.102

ok:2019-08-02T22:58:26.083

ok:2019-08-02T22:58:26.377

ok:2019-08-02T22:58:25.669

ok:2019-08-02T22:58:26.360

ok:2019-08-02T22:58:26.640

ok:2019-08-02T22:58:26.321

ok:2019-08-02T22:58:26.087

ok:2019-08-02T22:58:26.226

ok:2019-08-02T22:58:24.833

ok:2019-08-02T22:58:26.736

ok:2019-08-02T22:58:25.497

ok:2019-08-02T22:58:25.374

ok:2019-08-02T22:58:26.377

ok:2019-08-02T22:58:26.764

ok:2019-08-02T22:58:24.889

ok:2019-08-02T22:58:26.419

ok:2019-08-02T22:58:25.174

ok:2019-08-02T22:58:25.447

ok:2019-08-02T22:58:24.957

ok:2019-08-02T22:58:24.817

ok:2019-08-02T22:58:24.809

ok:2019-08-02T22:58:26.764

ok:2019-08-02T22:58:26.035

ok:2019-08-02T22:58:25.855

ok:2019-08-02T22:58:26.310

ok:2019-08-02T22:58:26.412

ok:2019-08-02T22:58:26.210

ok:2019-08-02T22:58:25.569

ok:2019-08-02T22:58:25.039

ok:2019-08-02T22:58:25.846

ok:2019-08-02T22:58:26.328

ok:2019-08-02T22:58:24.802

ok:2019-08-02T22:58:25.970

ok:2019-08-02T22:58:25.970

ok:2019-08-02T22:58:25.475

ok:2019-08-02T22:58:26.147

ok:2019-08-02T22:58:25.937

ok:2019-08-02T22:58:26.525

ok:2019-08-02T22:58:25.527

ok:2019-08-02T22:58:24.871

ok:2019-08-02T22:58:26.246

ok:2019-08-02T22:58:24.786

ok:2019-08-02T22:58:25.484

ok:2019-08-02T22:58:25.871

ok:2019-08-02T22:58:25.240

ok:2019-08-02T22:58:24.899

ok:2019-08-02T22:58:24.889

ok:2019-08-02T22:58:25.559

ok:2019-08-02T22:58:24.856

ok:2019-08-02T22:58:24.783

ok:2019-08-02T22:58:25.257

ok:2019-08-02T22:58:26.394

ok:2019-08-02T22:58:26.471

ok:2019-08-02T22:58:25.957

ok:2019-08-02T22:58:25.930

ok:2019-08-02T22:58:25.316

ok:2019-08-02T22:58:25.323

ok:2019-08-02T22:58:26.381

ok:2019-08-02T22:58:26.552

ok:2019-08-02T22:58:26.577

ok:2019-08-02T22:58:25.369

ok:2019-08-02T22:58:26.157

ok:2019-08-02T22:58:25.937

ok:2019-08-02T22:58:26.030

ok:2019-08-02T22:58:26.693

ok:2019-08-02T22:58:24.982

ok:2019-08-02T22:58:25.511

ok:2019-08-02T22:58:25.042

ok:2019-08-02T22:58:26.307

ok:2019-08-02T22:58:25.769

ok:2019-08-02T22:58:25.710

ok:2019-08-02T22:58:26.699

ok:2019-08-02T22:58:26.047

ok:2019-08-02T22:58:26.056

ok:2019-08-02T22:58:24.822

ok:2019-08-02T22:58:26.204

ok:2019-08-02T22:58:24.803

ok:2019-08-02T22:58:26.257

ok:2019-08-02T22:58:25.701

ok:2019-08-02T22:58:24.964

ok:2019-08-02T22:58:25.678

ok:2019-08-02T22:58:24.858

ok:2019-08-02T22:58:25.741

ok:2019-08-02T22:58:26.153

ok:2019-08-02T22:58:26.023

2019-08-02T22:58:26.766:全部结束

可以看到 100个线程并发，同时并发，64-73毫秒之间 即 9毫秒

2、不使用CountDownLatch

    @Test

    public void poolNoCountDownLatch() throws Exception {

        int parrelnum=100;

        List<Future<String>> futureList = new ArrayList<>();

        ExecutorService fixedThreadPool = Executors.newFixedThreadPool(parrelnum);

        for (int i = 0; i < parrelnum; i++) {

            Future<String> submit = fixedThreadPool.submit(() -> {

                try {

                    System.out.println("======-----------------------------"+ LocalDateTime.now());

//                    System.out.println("======-----------------------------"+ LocalDateTime.now()

//                            +":"+Thread.currentThread().getName()

//                            +"；守护线程："+Thread.currentThread().isDaemon());

                    Thread.sleep(new Random().nextInt(2000));

                } catch (InterruptedException e) {

                    e.printStackTrace();

                }

                return "ok:"+LocalDateTime.now();

            });

            futureList.add(submit);

        }

        fixedThreadPool.shutdown();

        try {

            System.out.println(LocalDateTime.now()+":"+"1秒后统一开始");

            Thread.sleep(1000);

            for (Future<String> future : futureList) {

                System.out.println(future.get());

            }

            System.out.println(LocalDateTime.now()+":"+"全部结束");

        } catch (InterruptedException e) {

            e.printStackTrace();

        }

    }

可以看到 100个线程并发，同时并发，91-96毫秒之间 即 5毫秒

com.intellij.rt.execution.junit.JUnitStarter -ideVersion5 -junit4 com.github.bjlhx15.common.base.thread.spring.controller.ThreadPoolExecutorParrelTest,poolNoCountDownLatch

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======-----------------------------2019-08-02T23:02:42.493

2019-08-02T23:02:42.493:1秒后统一开始

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======-----------------------------2019-08-02T23:02:42.495

ok:2019-08-02T23:02:43.998

ok:2019-08-02T23:02:43.772

ok:2019-08-02T23:02:42.961

ok:2019-08-02T23:02:42.623

ok:2019-08-02T23:02:44.241

ok:2019-08-02T23:02:43.478

ok:2019-08-02T23:02:44.477

ok:2019-08-02T23:02:43.033

ok:2019-08-02T23:02:43.533

ok:2019-08-02T23:02:44.004

ok:2019-08-02T23:02:42.856

ok:2019-08-02T23:02:44.217

ok:2019-08-02T23:02:44.190

ok:2019-08-02T23:02:44.011

ok:2019-08-02T23:02:42.603

ok:2019-08-02T23:02:44.448

ok:2019-08-02T23:02:44.017

ok:2019-08-02T23:02:42.833

ok:2019-08-02T23:02:42.808

ok:2019-08-02T23:02:44.479

ok:2019-08-02T23:02:43.207

ok:2019-08-02T23:02:44.190

ok:2019-08-02T23:02:42.677

ok:2019-08-02T23:02:43.624

ok:2019-08-02T23:02:42.848

ok:2019-08-02T23:02:44.161

ok:2019-08-02T23:02:43.904

ok:2019-08-02T23:02:44.439

ok:2019-08-02T23:02:44.361

ok:2019-08-02T23:02:43.598

ok:2019-08-02T23:02:43.777

ok:2019-08-02T23:02:43.153

ok:2019-08-02T23:02:42.922

ok:2019-08-02T23:02:43.466

ok:2019-08-02T23:02:43.689

ok:2019-08-02T23:02:43.881

ok:2019-08-02T23:02:42.784

ok:2019-08-02T23:02:43.598

ok:2019-08-02T23:02:42.691

ok:2019-08-02T23:02:43.671

ok:2019-08-02T23:02:43.920

ok:2019-08-02T23:02:43.833

ok:2019-08-02T23:02:44.415

ok:2019-08-02T23:02:43.019

ok:2019-08-02T23:02:44.244

ok:2019-08-02T23:02:42.963

ok:2019-08-02T23:02:44.361

ok:2019-08-02T23:02:43.689

ok:2019-08-02T23:02:43.620

ok:2019-08-02T23:02:42.753

ok:2019-08-02T23:02:43.055

ok:2019-08-02T23:02:43.259

ok:2019-08-02T23:02:43.837

ok:2019-08-02T23:02:44.233

ok:2019-08-02T23:02:43.483

ok:2019-08-02T23:02:42.753

ok:2019-08-02T23:02:43.823

ok:2019-08-02T23:02:44.448

ok:2019-08-02T23:02:44.361

ok:2019-08-02T23:02:43.727

ok:2019-08-02T23:02:42.641

ok:2019-08-02T23:02:43.648

ok:2019-08-02T23:02:43.282

ok:2019-08-02T23:02:42.522

ok:2019-08-02T23:02:44.394

ok:2019-08-02T23:02:43.037

ok:2019-08-02T23:02:44.366

ok:2019-08-02T23:02:44.093

ok:2019-08-02T23:02:43.494

ok:2019-08-02T23:02:44.120

ok:2019-08-02T23:02:44.283

ok:2019-08-02T23:02:43.917

ok:2019-08-02T23:02:44.093

ok:2019-08-02T23:02:43.524

ok:2019-08-02T23:02:42.593

ok:2019-08-02T23:02:43.628

ok:2019-08-02T23:02:42.544

ok:2019-08-02T23:02:43.279

ok:2019-08-02T23:02:44.182

ok:2019-08-02T23:02:42.878

ok:2019-08-02T23:02:44.177

ok:2019-08-02T23:02:43.371

ok:2019-08-02T23:02:42.538

ok:2019-08-02T23:02:43.783

ok:2019-08-02T23:02:43.515

ok:2019-08-02T23:02:43.616

ok:2019-08-02T23:02:43.241

ok:2019-08-02T23:02:43.366

ok:2019-08-02T23:02:42.731

ok:2019-08-02T23:02:43.844

ok:2019-08-02T23:02:43.423

ok:2019-08-02T23:02:43.698

ok:2019-08-02T23:02:43.689

ok:2019-08-02T23:02:43.733

ok:2019-08-02T23:02:43.459

ok:2019-08-02T23:02:43.546

ok:2019-08-02T23:02:44.067

ok:2019-08-02T23:02:44.494

ok:2019-08-02T23:02:44.054

ok:2019-08-02T23:02:43.923

2019-08-02T23:02:44.495:全部结束

Process finished with exit code 0

3、小结

故针对上述一次并发不推荐使用CountDownLatch增加程序复杂度

1.2、循环并发

如，15个线程，每5个一组循环并发测试

    @Test

    public void poolCyclicBarrier() throws Exception {

        int parrelnum = 5;

        //所有线程阻塞，然后统一开始

        CyclicBarrier cyclicBarrier = new CyclicBarrier(parrelnum);

        List<Future<String>> futureList = new ArrayList<>();

        ExecutorService fixedThreadPool = Executors.newFixedThreadPool(parrelnum);

        for (int i = 0; i < 15; i++) {

            Future<String> submit = fixedThreadPool.submit(() -> {

                try {

                    Thread.sleep(new Random().nextInt(2000));

                    //begin 阻塞所有线程

                    cyclicBarrier.await();

                    System.out.println("======-----------------------------并发：" + LocalDateTime.now());

                    Thread.sleep(new Random().nextInt(2000));

                    System.out.println("======-----------------------------" + LocalDateTime.now()

                            + ":" + Thread.currentThread().getName()

                            + "；守护线程：" + Thread.currentThread().isDaemon());

                } catch (InterruptedException e) {

                    e.printStackTrace();

                }

                return "ok:" + LocalDateTime.now();

            });

            futureList.add(submit);

        }

        for (Future<String> future : futureList) {

            future.get();

//                System.out.println(future.get());

        }

    }

输出

======-----------------------------并发：2019-08-06T21:11:21.970

======-----------------------------并发：2019-08-06T21:11:21.970

======-----------------------------并发：2019-08-06T21:11:21.970

======-----------------------------并发：2019-08-06T21:11:21.970

======-----------------------------并发：2019-08-06T21:11:21.970

======-----------------------------2019-08-06T21:11:22.488:pool-1-thread-2；守护线程：false

======-----------------------------2019-08-06T21:11:22.610:pool-1-thread-1；守护线程：false

======-----------------------------2019-08-06T21:11:22.635:pool-1-thread-4；守护线程：false

======-----------------------------2019-08-06T21:11:23.222:pool-1-thread-5；守护线程：false

======-----------------------------2019-08-06T21:11:23.807:pool-1-thread-3；守护线程：false

======-----------------------------并发：2019-08-06T21:11:25.161

======-----------------------------并发：2019-08-06T21:11:25.161

======-----------------------------并发：2019-08-06T21:11:25.161

======-----------------------------并发：2019-08-06T21:11:25.161

======-----------------------------并发：2019-08-06T21:11:25.161

======-----------------------------2019-08-06T21:11:26.123:pool-1-thread-2；守护线程：false

======-----------------------------2019-08-06T21:11:26.183:pool-1-thread-4；守护线程：false

======-----------------------------2019-08-06T21:11:26.295:pool-1-thread-3；守护线程：false

======-----------------------------2019-08-06T21:11:26.701:pool-1-thread-5；守护线程：false

======-----------------------------2019-08-06T21:11:27.016:pool-1-thread-1；守护线程：false

======-----------------------------并发：2019-08-06T21:11:28.752

======-----------------------------并发：2019-08-06T21:11:28.752

======-----------------------------并发：2019-08-06T21:11:28.752

======-----------------------------并发：2019-08-06T21:11:28.752

======-----------------------------并发：2019-08-06T21:11:28.752

======-----------------------------2019-08-06T21:11:28.983:pool-1-thread-3；守护线程：false

======-----------------------------2019-08-06T21:11:29.548:pool-1-thread-5；守护线程：false

======-----------------------------2019-08-06T21:11:29.668:pool-1-thread-1；守护线程：false

======-----------------------------2019-08-06T21:11:29.827:pool-1-thread-2；守护线程：false

======-----------------------------2019-08-06T21:11:29.868:pool-1-thread-4；守护线程：false

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