Vla*_*mir 5 java concurrency synchronization
我在一个高并发应用程序上工作.在应用程序代码中,我尝试尽可能避免同步.最近,在比较非同步和同步代码版本的测试性能时,结果表明同步代码的执行速度比非同步代码快三到四倍.
经过一些实验,我来到了这个测试代码:
private static final Random RND = new Random();
private static final int NUM_OF_THREADS = 3;
private static final int NUM_OF_ITR = 3;
private static final int MONKEY_WORKLOAD = 50000;
static final AtomicInteger lock = new AtomicInteger();
private static void syncLockTest(boolean sync) {
System.out.println("syncLockTest, sync=" + sync);
final AtomicLong jobsDone = new AtomicLong();
final AtomicBoolean stop = new AtomicBoolean();
for (int i = 0; i < NUM_OF_THREADS; i++) {
Runnable runner;
if (sync) {
runner = new Runnable() {
@Override
public void run() {
while (!stop.get()){
jobsDone.incrementAndGet();
synchronized (lock) {
monkeyJob();
}
Thread.yield();
}
}
};
} else {
runner = new Runnable() {
@Override
public void run() {
while (!stop.get()){
jobsDone.incrementAndGet();
monkeyJob();
Thread.yield();
}
}
};
}
new Thread(runner).start();
}
long printTime = System.currentTimeMillis();
for (int i = 0; i < NUM_OF_ITR;) {
long now = System.currentTimeMillis();
if (now - printTime > 10 * 1000) {
printTime = now;
System.out.println("Jobs done\t" + jobsDone);
jobsDone.set(0);
i++;
}
try {
Thread.sleep(1000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
stop.set(true);
}
private static double[] monkeyJob() {
double[] res = new double[MONKEY_WORKLOAD];
for (int i = 0; i < res.length; i++) {
res[i] = RND.nextDouble();
res[i] = 1./(1. + res[i]);
}
return res;
}
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我玩了线程,工作负载,测试迭代次数 - 每次同步代码的执行速度比非中心代码快得多.
以下是NUM_OF_THREADS的两个不同值的结果
线程数:3
syncLockTest,sync = true已
完成工作5951已
完成工作5958已
完成工作5878
syncLockTest,sync = false已
完成工作1399已
完成工作1397已
完成工作1391线程数:5
syncLockTest,sync = true已
完成工作5895已
完成工作6464已
完成工作5886
syncLockTest,sync = false已
完成工作1179已
完成工作1260已
完成工作1226
测试环境Windows 7 Professional Java版本7.0
这是一个类似的案例同步代码比非同步代码执行得更快
有任何想法吗?