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HyperLogLog.cs
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HyperLogLog.cs
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using System;
using System.Collections.Generic;
using System.Linq;
namespace DataStructures.Probabilistic
{
public class HyperLogLog<T> where T : notnull
{
private const int P = 16;
private const double Alpha = .673;
private readonly int[] registers;
private readonly HashSet<int> setRegisters;
/// <summary>
/// Initializes a new instance of the <see cref="HyperLogLog{T}"/> class.
/// </summary>
public HyperLogLog()
{
var m = 1 << P;
registers = new int[m];
setRegisters = new HashSet<int>();
}
/// <summary>
/// Merge's two HyperLogLog's together to form a union HLL.
/// </summary>
/// <param name="first">the first HLL.</param>
/// <param name="second">The second HLL.</param>
/// <returns>A HyperLogLog with the combined values of the two sets of registers.</returns>
public static HyperLogLog<T> Merge(HyperLogLog<T> first, HyperLogLog<T> second)
{
var output = new HyperLogLog<T>();
for (var i = 0; i < second.registers.Length; i++)
{
output.registers[i] = Math.Max(first.registers[i], second.registers[i]);
}
output.setRegisters.UnionWith(first.setRegisters);
output.setRegisters.UnionWith(second.setRegisters);
return output;
}
/// <summary>
/// Adds an item to the HyperLogLog.
/// </summary>
/// <param name="item">The Item to be added.</param>
public void Add(T item)
{
var x = item.GetHashCode();
var binString = Convert.ToString(x, 2); // converts hash to binary
var j = Convert.ToInt32(binString.Substring(0, Math.Min(P, binString.Length)), 2); // convert first b bits to register index
var w = (int)Math.Log2(x ^ (x & (x - 1))); // find position of the right most 1.
registers[j] = Math.Max(registers[j], w); // set the appropriate register to the appropriate value.
setRegisters.Add(j);
}
/// <summary>
/// Determines the approximate cardinality of the HyperLogLog.
/// </summary>
/// <returns>the approximate cardinality.</returns>
public int Cardinality()
{
// calculate the bottom part of the harmonic mean of the registers
double z = setRegisters.Sum(index => Math.Pow(2, -1 * registers[index]));
// calculate the harmonic mean of the set registers
return (int)Math.Ceiling(Alpha * setRegisters.Count * (setRegisters.Count / z));
}
}
}