总有一些过时的方法:

long startTime = System.nanoTime();
methodToTime();
long endTime = System.nanoTime();

long duration = (endTime - startTime);  //divide by 1000000 to get milliseconds.

非常好的代码。

http://www.rgagnon.com/javadetails/java-0585.html

import java.util.concurrent.TimeUnit;

long startTime = System.currentTimeMillis();
........
........
........
long finishTime = System.currentTimeMillis();

String diff = millisToShortDHMS(finishTime - startTime);


  /**
   * converts time (in milliseconds) to human-readable format
   *  "<dd:>hh:mm:ss"
   */
  public static String millisToShortDHMS(long duration) {
    String res = "";
    long days  = TimeUnit.MILLISECONDS.toDays(duration);
    long hours = TimeUnit.MILLISECONDS.toHours(duration)
                   - TimeUnit.DAYS.toHours(TimeUnit.MILLISECONDS.toDays(duration));
    long minutes = TimeUnit.MILLISECONDS.toMinutes(duration)
                     - TimeUnit.HOURS.toMinutes(TimeUnit.MILLISECONDS.toHours(duration));
    long seconds = TimeUnit.MILLISECONDS.toSeconds(duration)
                   - TimeUnit.MINUTES.toSeconds(TimeUnit.MILLISECONDS.toMinutes(duration));
    if (days == 0) {
      res = String.format("%02d:%02d:%02d", hours, minutes, seconds);
    }
    else {
      res = String.format("%dd%02d:%02d:%02d", days, hours, minutes, seconds);
    }
    return res;
  }

您可以使用Metrics库，它提供了各种测量工具。添加依赖关系:

<dependencies>
    <dependency>
        <groupId>io.dropwizard.metrics</groupId>
        <artifactId>metrics-core</artifactId>
        <version>${metrics.version}</version>
    </dependency>
</dependencies>

并为您的环境配置它。

方法可以用@Timed进行注释:

@Timed
public void exampleMethod(){
    // some code
}

或者用Timer包装的一段代码:

final Timer timer = metricsRegistry.timer("some_name");
final Timer.Context context = timer.time();
// timed code
context.stop();

聚合的指标可以导出到控制台、JMX、CSV或其他。

@定时指标输出示例:

com.example.ExampleService.exampleMethod
             count = 2
         mean rate = 3.11 calls/minute
     1-minute rate = 0.96 calls/minute
     5-minute rate = 0.20 calls/minute
    15-minute rate = 0.07 calls/minute
               min = 17.01 milliseconds
               max = 1006.68 milliseconds
              mean = 511.84 milliseconds
            stddev = 699.80 milliseconds
            median = 511.84 milliseconds
              75% <= 1006.68 milliseconds
              95% <= 1006.68 milliseconds
              98% <= 1006.68 milliseconds
              99% <= 1006.68 milliseconds
            99.9% <= 1006.68 milliseconds

在Java 8中，你也可以对每个正常的方法做这样的事情:

Object returnValue = TimeIt.printTime(() -> methodeWithReturnValue());
//do stuff with your returnValue

与TimeIt像:

public class TimeIt {

public static <T> T printTime(Callable<T> task) {
    T call = null;
    try {
        long startTime = System.currentTimeMillis();
        call = task.call();
        System.out.print((System.currentTimeMillis() - startTime) / 1000d + "s");
    } catch (Exception e) {
        //...
    }
    return call;
}
}

使用这种方法，您可以在代码的任何地方进行简单的时间测量，而不会破坏它。在这个简单的例子中，我只是打印时间。你可以为TimeIt添加一个开关，例如，在DebugMode中只打印时间。

如果你正在使用函数，你可以这样做:

Function<Integer, Integer> yourFunction= (n) -> {
        return IntStream.range(0, n).reduce(0, (a, b) -> a + b);
    };

Integer returnValue = TimeIt.printTime2(yourFunction).apply(10000);
//do stuff with your returnValue

public static <T, R> Function<T, R> printTime2(Function<T, R> task) {
    return (t) -> {
        long startTime = System.currentTimeMillis();
        R apply = task.apply(t);
        System.out.print((System.currentTimeMillis() - startTime) / 1000d
                + "s");
        return apply;
    };
}

在java ee中对我有效的策略是:

Create a class with a method annotated with @AroundInvoke; @Singleton public class TimedInterceptor implements Serializable { @AroundInvoke public Object logMethod(InvocationContext ic) throws Exception { Date start = new Date(); Object result = ic.proceed(); Date end = new Date(); System.out.println("time: " + (end.getTime - start.getTime())); return result; } } Annotate the method that you want to monitoring: @Interceptors(TimedInterceptor.class) public void onMessage(final Message message) { ...

我希望这能有所帮助。

正如“skaffman”所说，使用AOP或您可以使用运行时字节码编织，就像使用单元测试方法覆盖工具透明地向调用的方法添加计时信息一样。

您可以查看开源工具(如Emma (http://downloads.sourceforge.net/emma/emma-2.0.5312-src.zip?modtime=1118607545&big_mirror=0))使用的代码。另一个开源覆盖工具是http://prdownloads.sourceforge.net/cobertura/cobertura-1.9-src.zip?download。

如果你最终做到了你所设定的目标，请用你的ant task/jars与社区分享。