I have written a timer which will measure the performance of a particular code in any multithreaded application. In the below timer, it will also populate the map with how many calls took x milliseconds. I will use this map as part of my histogram to do further analysis, like what percentage of calls took this much milliseconds and etc.
public static class StopWatch {
public static ConcurrentHashMap<Long, Long> histogram = new ConcurrentHashMap<Long, Long>();
/**
* Creates an instance of the timer and starts it running.
*/
public static StopWatch getInstance() {
return new StopWatch();
}
private long m_end = -1;
private long m_interval = -1;
private final long m_start;
private StopWatch() {
m_start = m_interval = currentTime();
}
/**
* Returns in milliseconds the amount of time that has elapsed since the timer was created. If the
* <code>stop</code> method has been invoked, then this returns instead the elapsed time between the creation of
* the timer and the moment when <code>stop</code> was invoked.
*
* @return duration it took
*/
public long getDuration() {
long result = 0;
final long startTime = m_start;
final long endTime = isStopWatchRunning() ? currentTime() : m_end;
result = convertNanoToMilliseconds(endTime - startTime);
boolean done = false;
while (!done) {
Long oldValue = histogram.putIfAbsent(result, 1L);
if (oldValue != null) {
done = histogram.replace(result, oldValue, oldValue + 1);
} else {
done = true;
}
}
return result;
}
/**
* Returns in milliseconds the amount of time that has elapsed since the last invocation of this same method. If
* this method has not previously been invoked, then it is the amount of time that has elapsed since the timer
* was created. <strong>Note</strong> that once the <code>stop</code> method has been invoked this will just
* return zero.
*
* @return interval period
*/
public long getInterval() {
long result = 0;
final long startTime = m_interval;
final long endTime;
if (isStopWatchRunning()) {
endTime = m_interval = currentTime();
} else {
endTime = m_end;
}
result = convertNanoToMilliseconds(endTime - startTime);
return result;
}
/**
* Stops the timer from advancing. This has an impact on the values returned by both the
* <code>getDuration</code> and the <code>getInterval</code> methods.
*/
public void stop() {
if (isStopWatchRunning()) {
m_end = currentTime();
}
}
/**
* What is the current time in nanoseconds?
*
* @return returns back the current time in nanoseconds
*/
private long currentTime() {
return System.nanoTime();
}
/**
* This is used to check whether the timer is alive or not
*
* @return checks whether the timer is running or not
*/
private boolean isStopWatchRunning() {
return (m_end <= 0);
}
/**
* This is used to convert NanoSeconds to Milliseconds
*
* @param nanoseconds
* @return milliseconds value of nanoseconds
*/
private long convertNanoToMilliseconds(final long nanoseconds) {
return nanoseconds / 1000000L;
}
}
For example, this is the way I will use my above timer class to measure the performance of a particular code in my multithreading application:
StopWatch timer = StopWatch.getInstance();
//... some code here to measure
timer.getDuration();
Now my question is - What is the best way to calculate average, median, 95th and 99th percentile of the request from my histogram map? I mean to say, I want to add certain methods in my StopWatch class only which will does all the calculation like finding the average, median, 95th and 99th percentile.
And then I can just directly get it by using StopWatch instance.
My histogram map will look like this:
key - means number of milliseconds
value - means number of calls that took that much milliseconds.
The mean is straightforward to implement. Median is the 50th percentile, so you just need a single percentile method that works, and create a utility method for the median. There are several variations of Percentile calculation, but this one should generate the same results as the Microsoft Excel PERCENTILE.INC function.