package org.apache.cassandra.stress.util;
import java.util.concurrent.CopyOnWriteArrayList;
import java.util.concurrent.CountDownLatch;
// TODO: do not assume normal distribution of measurements.
public class Uncertainty
{
private int measurements;
private double sumsquares;
private double sum;
private double stdev;
private double mean;
private double uncertainty;
private CopyOnWriteArrayList<WaitForTargetUncertainty> waiting = new CopyOnWriteArrayList<>();
private static final class WaitForTargetUncertainty
{
final double targetUncertainty;
final int minMeasurements;
final int maxMeasurements;
final CountDownLatch latch = new CountDownLatch(1);
private WaitForTargetUncertainty(double targetUncertainty, int minMeasurements, int maxMeasurements)
{
this.targetUncertainty = targetUncertainty;
this.minMeasurements = minMeasurements;
this.maxMeasurements = maxMeasurements;
}
void await() throws InterruptedException
{
latch.await();
}
}
public void update(double value)
{
measurements++;
sumsquares += value * value;
sum += value;
mean = sum / measurements;
stdev = Math.sqrt((sumsquares / measurements) - (mean * mean));
uncertainty = (stdev / Math.sqrt(measurements)) / mean;
for (WaitForTargetUncertainty waiter : waiting)
{
if ((uncertainty < waiter.targetUncertainty && measurements >= waiter.minMeasurements) || (measurements >= waiter.maxMeasurements))
{
waiter.latch.countDown();
// can safely remove as working over snapshot with COWArrayList
waiting.remove(waiter);
}
}
}
public void await(double targetUncertainty, int minMeasurements, int maxMeasurements) throws InterruptedException
{
final WaitForTargetUncertainty wait = new WaitForTargetUncertainty(targetUncertainty, minMeasurements, maxMeasurements);
waiting.add(wait);
wait.await();
}
public double getUncertainty()
{
return uncertainty;
}
public void wakeAll()
{
for (WaitForTargetUncertainty waiting : this.waiting)
{
waiting.latch.countDown();
this.waiting.remove(waiting);
}
}
}