006-多线程-JUC线程池-并发测试程序
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
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======-----------------------------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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2019-08-02T23:02:42.493:1秒后统一开始
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ok:2019-08-02T23:02:43.998
ok:2019-08-02T23:02:43.772
ok:2019-08-02T23:02:42.961
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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
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ok:2019-08-02T23:02:42.677
ok:2019-08-02T23:02:43.624
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ok:2019-08-02T23:02:43.598
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ok:2019-08-02T23:02:43.689
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ok:2019-08-02T23:02:43.483
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ok:2019-08-02T23:02:44.448
ok:2019-08-02T23:02:44.361
ok:2019-08-02T23:02:43.727
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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
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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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