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;
  }
  [...]
}

纯Java SE代码，不需要添加依赖项，使用TimeTracedExecuter:

public static void main(String[] args) {

    Integer square = new TimeTracedExecutor<>(Main::calculateSquare)
                .executeWithInput("calculate square of num",5,logger);

}
public static int calculateSquare(int num){
    return num*num;
}

会产生这样的结果:

信息:计算num的平方需要3毫秒

自定义可重用类:TimeTracedExecutor

import java.text.NumberFormat;
import java.time.Duration;
import java.time.Instant;
import java.util.function.Function;
import java.util.logging.Logger;

public class TimeTracedExecutor<T,R> {
    Function<T,R> methodToExecute;

    public TimeTracedExecutor(Function<T, R> methodToExecute) {
        this.methodToExecute = methodToExecute;
    }

    public R executeWithInput(String taskDescription, T t, Logger logger){
        Instant start = Instant.now();
        R r= methodToExecute.apply(t);
        Instant finish = Instant.now();
        String format = "It took %s milliseconds to "+taskDescription;
        String elapsedTime = NumberFormat.getNumberInstance().format(Duration.between(start, finish).toMillis());
        logger.info(String.format(format, elapsedTime));
        return r;
    }
}

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

有几种方法可以做到。我通常会使用这样的方法:

long start = System.currentTimeMillis();
// ... do something ...
long end = System.currentTimeMillis();

或者System.nanoTime();

关于基准测试方面的更多内容，似乎还有这个:http://jetm.void.fm/但从未尝试过。

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

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