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Metrics is a Java library which gives you unparalleled insight into what your code does in
production. Metrics provides a powerful toolkit of ways to measure the behavior of critical
components in your production environment.
package com.codahale.metrics;
import java.util.concurrent.ThreadLocalRandom;
import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.atomic.AtomicLongArray;
/**
* A random sampling reservoir of a stream of {@code long}s. Uses Vitter's Algorithm R to produce a
* statistically representative sample.
*
* @see Random Sampling with a Reservoir
*/
public class UniformReservoir implements Reservoir {
private static final int DEFAULT_SIZE = 1028;
private final AtomicLong count = new AtomicLong();
private final AtomicLongArray values;
/**
* Creates a new {@link UniformReservoir} of 1028 elements, which offers a 99.9% confidence level
* with a 5% margin of error assuming a normal distribution.
*/
public UniformReservoir() {
this(DEFAULT_SIZE);
}
/**
* Creates a new {@link UniformReservoir}.
*
* @param size the number of samples to keep in the sampling reservoir
*/
public UniformReservoir(int size) {
this.values = new AtomicLongArray(size);
for (int i = 0; i < values.length(); i++) {
values.set(i, 0);
}
count.set(0);
}
@Override
public int size() {
final long c = count.get();
if (c > values.length()) {
return values.length();
}
return (int) c;
}
@Override
public void update(long value) {
final long c = count.incrementAndGet();
if (c <= values.length()) {
values.set((int) c - 1, value);
} else {
final long r = ThreadLocalRandom.current().nextLong(c);
if (r < values.length()) {
values.set((int) r, value);
}
}
}
@Override
public Snapshot getSnapshot() {
final int s = size();
long[] copy = new long[s];
for (int i = 0; i < s; i++) {
copy[i] = values.get(i);
}
return new UniformSnapshot(copy);
}
}