nanotime()是一个非常精确的系统实用程序，用于测量执行时间。但是要注意，如果运行在抢占式调度器模式(默认)，这个实用程序实际上测量的是时钟时间，而不是CPU时间。因此，您可能会注意到每次运行的执行时间值是不同的，这取决于系统负载。如果您需要CPU时间，我认为在实时模式下运行您的程序就可以了。您必须使用RT linux。链接:使用Linux进行实时编程

您可以使用Perf4j。非常酷的实用工具。用法简单

String watchTag = "target.SomeMethod";
StopWatch stopWatch = new LoggingStopWatch(watchTag);
Result result = null; // Result is a type of a return value of a method
try {
    result = target.SomeMethod();
    stopWatch.stop(watchTag + ".success");
} catch (Exception e) {
    stopWatch.stop(watchTag + ".fail", "Exception was " + e);
    throw e; 
}

更多信息可以在开发者指南中找到

编辑:项目似乎已死

也可以实现定时器接口，并在类的任何方法上执行

import java.util.function.*;

public interface Timer {

    default void timeIt(Runnable r) {
        timeIt(() -> { r.run(); return 0;});
    }

    default <S,T> T timeIt(Function<S,T> fun, S arg) {
        long start = System.nanoTime();
        T result = fun.apply(arg);
        long stop = System.nanoTime();
        System.out.println("Time: " + (stop-start)/1000000.0 + " msec");
        return result;
    }

    default <T> T timeIt(Supplier<T> s) {
        return timeIt(obj -> s.get(), null);
    }
}

用法:

class MyClass implements Timer ..

timeIt(this::myFunction); 

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

对于java 8+，另一种可能的解决方案(更通用，函数风格，没有方面)可能是创建一些实用程序方法，将代码作为参数接受

public static <T> T timed (String description, Consumer<String> out, Supplier<T> code) {
    final LocalDateTime start = LocalDateTime.now ();
    T res = code.get ();
    final long execTime = Duration.between (start, LocalDateTime.now ()).toMillis ();
    out.accept (String.format ("%s: %d ms", description, execTime));
    return res;
}

调用代码可以是这样的smth:

public static void main (String[] args) throws InterruptedException {
    timed ("Simple example", System.out::println, Timing::myCode);
}

public static Object myCode () {
    try {
        Thread.sleep (1500);
    } catch (InterruptedException e) {
        e.printStackTrace ();
    }
    return null;
}

你可以使用spring core项目中的stopwatch类:

代码:

StopWatch stopWatch = new StopWatch()
stopWatch.start();  //start stopwatch
// write your function or line of code.
stopWatch.stop();  //stop stopwatch
stopWatch.getTotalTimeMillis() ; ///get total time

Documentation for Stopwatch: Simple stop watch, allowing for timing of a number of tasks, exposing total running time and running time for each named task. Conceals use of System.currentTimeMillis(), improving the readability of application code and reducing the likelihood of calculation errors. Note that this object is not designed to be thread-safe and does not use synchronization. This class is normally used to verify performance during proof-of-concepts and in development, rather than as part of production applications.