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;
}

在Spring框架中我们有一个叫做StopWatch的调用(org。Spring framework。util。StopWatch)

//measuring elapsed time using Spring StopWatch
        StopWatch watch = new StopWatch();
        watch.start();
        for(int i=0; i< 1000; i++){
            Object obj = new Object();
        }
        watch.stop();
        System.out.println("Total execution time to create 1000 objects in Java using StopWatch in millis: "
                + watch.getTotalTimeMillis());

long startTime = System.currentTimeMillis();
// code goes here
long finishTime = System.currentTimeMillis();
long elapsedTime = finishTime - startTime; // elapsed time in milliseconds

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.

为此，我们使用了AspectJ和Java注释。如果我们需要知道一个方法的执行时间，我们可以简单地注释它。更高级的版本可以使用自己的日志级别，可以在运行时启用和禁用。

public @interface Trace {
  boolean showParameters();
}

@Aspect
public class TraceAspect {
  [...]
  @Around("tracePointcut() && @annotation(trace) && !within(TraceAspect)")
  public Object traceAdvice ( ProceedingJintPoint jP, Trace trace ) {

    Object result;
    // initilize timer

    try { 
      result = jp.procced();
    } finally { 
      // calculate execution time 
    }

    return result;
  }
  [...]
}

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