我的答案很简单。对我有用。

long startTime = System.currentTimeMillis();

doReallyLongThing();

long endTime = System.currentTimeMillis();

System.out.println("That took " + (endTime - startTime) + " milliseconds");

它运行得很好。分辨率显然只有毫秒级，使用System.nanoTime()可以做得更好。这两种方法都有一些限制(操作系统调度切片等)，但效果很好。

平均几次运行(越多越好)，你就会得到一个不错的想法。

加油，伙计们!没有人提到用番石榴来做这件事(可以说是很棒):

import com.google.common.base.Stopwatch;

Stopwatch timer = Stopwatch.createStarted();
//method invocation
LOG.info("Method took: " + timer.stop());

Stopwatch.toString()很好地为测量选择了时间单位。也就是说，如果值很小，它将输出38ns，如果值很长，它将显示5m 3s

甚至更好的:

Stopwatch timer = Stopwatch.createUnstarted();
for (...) {
   timer.start();
   methodToTrackTimeFor();
   timer.stop();
   methodNotToTrackTimeFor();
}
LOG.info("Method took: " + timer);

注意:谷歌Guava需要Java 1.6+

如果你想要时间

long start_time = System.currentTimeMillis();
object.method();
long end_time = System.currentTimeMillis();
long execution_time = end_time - start_time;

这是一个简单的类用于简单的函数计时。下面有一个例子。

public class Stopwatch {
    static long startTime;
    static long splitTime;
    static long endTime;

    public Stopwatch() {
        start();
    }

    public void start() {
        startTime = System.currentTimeMillis();
        splitTime = System.currentTimeMillis();
        endTime = System.currentTimeMillis();
    }

    public void split() {
        split("");
    }

    public void split(String tag) {
        endTime = System.currentTimeMillis();
        System.out.println("Split time for [" + tag + "]: " + (endTime - splitTime) + " ms");
        splitTime = endTime;
    }

    public void end() {
        end("");
    }
    public void end(String tag) {
        endTime = System.currentTimeMillis();
        System.out.println("Final time for [" + tag + "]: " + (endTime - startTime) + " ms");
    }
}

使用示例:

public static Schedule getSchedule(Activity activity_context) {
        String scheduleJson = null;
        Schedule schedule = null;
/*->*/  Stopwatch stopwatch = new Stopwatch();

        InputStream scheduleJsonInputStream = activity_context.getResources().openRawResource(R.raw.skating_times);
/*->*/  stopwatch.split("open raw resource");

        scheduleJson = FileToString.convertStreamToString(scheduleJsonInputStream);
/*->*/  stopwatch.split("file to string");

        schedule = new Gson().fromJson(scheduleJson, Schedule.class);
/*->*/  stopwatch.split("parse Json");
/*->*/  stopwatch.end("Method getSchedule"); 
    return schedule;
}

控制台输出示例:

Split time for [file to string]: 672 ms
Split time for [parse Json]: 893 ms
Final time for [get Schedule]: 1565 ms

Spring提供了一个实用工具类org.springframework.util。秒表，根据JavaDoc:

简单的秒表，允许计时多项任务，暴露 每个指定任务的总运行时间和运行时间。

用法:

StopWatch stopWatch = new StopWatch("Performance Test Result");

stopWatch.start("Method 1");
doSomething1();//method to test
stopWatch.stop();

stopWatch.start("Method 2");
doSomething2();//method to test
stopWatch.stop();

System.out.println(stopWatch.prettyPrint());

输出:

StopWatch 'Performance Test Result': running time (millis) = 12829
-----------------------------------------
ms     %     Task name
-----------------------------------------
11907  036%  Method 1
00922  064%  Method 2

方面:

@Around("execution(* my.package..*.*(..))")
public Object logTime(ProceedingJoinPoint joinPoint) throws Throwable {
    StopWatch stopWatch = new StopWatch();
    stopWatch.start();
    Object retVal = joinPoint.proceed();
    stopWatch.stop();
    log.info(" execution time: " + stopWatch.getTotalTimeMillis() + " ms");
    return retVal;
}

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