高并发场景下System.currentTimeMillis()的性能优化

一、前言

System.currentTimeMillis()的调用比new一个普通对象要耗时的多(具体耗时高出多少我也不知道,不过听说在100倍左右),然而该方法又是一个常用方法,

有时不得不使用,比如生成wokerId、打印日志什么的,在高并发情形下肯定存在性能问题的,但怎么做才好呢? System.currentTimeMillis()之所以慢是因为

去跟系统打了一次交道。那什么快?内存!如果该方法从内存直接取数,那不就美滋滋了。

二、代码实现

public class SystemClock {  private final long period;  private final AtomicLong now;  private SystemClock(long period) {  this.period = period;  this.now = new AtomicLong(System.currentTimeMillis());  scheduleClockUpdating();  }  private static SystemClock instance() {  return InstanceHolder.INSTANCE;  }  public static long now() {  return instance().currentTimeMillis();  }  public static String nowDate() {  return new Timestamp(instance().currentTimeMillis()).toString();  }  private void scheduleClockUpdating() {  ScheduledThreadPoolExecutor scheduler = new ScheduledThreadPoolExecutor(1, new ThreadFactory() {  @Override  public Thread newThread(Runnable r) {  Thread thread = new Thread(r, "System Clock");  thread.setDaemon(true);  return thread;  }  });  scheduler.scheduleAtFixedRate(new Runnable() {  @Override  public void run() {  now.set(System.currentTimeMillis());  }  }, period, period, TimeUnit.MILLISECONDS);  }  private long currentTimeMillis() {  return now.get();  }  private static class InstanceHolder {  public static final SystemClock INSTANCE = new SystemClock(1);  } }

用的时候直接调用SystemClock.now();就ok了。

测试

写了一个简单的测试代码:

    public static void main(String[] args) { long start = System.currentTimeMillis(); for (long i = 0; i < Integer.MAX_VALUE; i++) { SystemClock.now(); } long end = System.currentTimeMillis(); System.out.println("SystemClock Time:" + (end - start) + "毫秒"); long start2 = System.currentTimeMillis(); for (long i = 0; i < Integer.MAX_VALUE; i++) { System.currentTimeMillis(); } long end2 = System.currentTimeMillis(); System.out.println("currentTimeMillis Time:" + (end2 - start2) + "毫秒"); }

输出结果是:
  SystemClock Time:1787毫秒
  currentTimeMillis Time:33851毫秒
  看着结果效率提升还是挺明显的。

  所有的进步都是不稳定, 一个问题解决了又不得不面对一个新的问题。
 
转载自:https://www.cnblogs.com/nyvi/p/8837012.html

一、前言

System.currentTimeMillis()的调用比new一个普通对象要耗时的多(具体耗时高出多少我也不知道,不过听说在100倍左右),然而该方法又是一个常用方法,

有时不得不使用,比如生成wokerId、打印日志什么的,在高并发情形下肯定存在性能问题的,但怎么做才好呢? System.currentTimeMillis()之所以慢是因为

去跟系统打了一次交道。那什么快?内存!如果该方法从内存直接取数,那不就美滋滋了。

二、代码实现

public class SystemClock {  private final long period;  private final AtomicLong now;  private SystemClock(long period) {  this.period = period;  this.now = new AtomicLong(System.currentTimeMillis());  scheduleClockUpdating();  }  private static SystemClock instance() {  return InstanceHolder.INSTANCE;  }  public static long now() {  return instance().currentTimeMillis();  }  public static String nowDate() {  return new Timestamp(instance().currentTimeMillis()).toString();  }  private void scheduleClockUpdating() {  ScheduledThreadPoolExecutor scheduler = new ScheduledThreadPoolExecutor(1, new ThreadFactory() {  @Override  public Thread newThread(Runnable r) {  Thread thread = new Thread(r, "System Clock");  thread.setDaemon(true);  return thread;  }  });  scheduler.scheduleAtFixedRate(new Runnable() {  @Override  public void run() {  now.set(System.currentTimeMillis());  }  }, period, period, TimeUnit.MILLISECONDS);  }  private long currentTimeMillis() {  return now.get();  }  private static class InstanceHolder {  public static final SystemClock INSTANCE = new SystemClock(1);  } }

用的时候直接调用SystemClock.now();就ok了。

测试

写了一个简单的测试代码:

    public static void main(String[] args) { long start = System.currentTimeMillis(); for (long i = 0; i < Integer.MAX_VALUE; i++) { SystemClock.now(); } long end = System.currentTimeMillis(); System.out.println("SystemClock Time:" + (end - start) + "毫秒"); long start2 = System.currentTimeMillis(); for (long i = 0; i < Integer.MAX_VALUE; i++) { System.currentTimeMillis(); } long end2 = System.currentTimeMillis(); System.out.println("currentTimeMillis Time:" + (end2 - start2) + "毫秒"); }

输出结果是:
  SystemClock Time:1787毫秒
  currentTimeMillis Time:33851毫秒
  看着结果效率提升还是挺明显的。

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转载自www.cnblogs.com/junjiang3/p/9195074.html