/*-------------------------------------------------------------------------
 *
 * hyperloglog.cpp
 *    HyperLogLog cardinality estimator
 *
 * Portions Copyright (c) 2014-2016, PostgreSQL Global Development Group
 *
 * Based on Hideaki Ohno's C++ implementation.  This is probably not ideally
 * suited to estimating the cardinality of very large sets;  in particular, we
 * have not attempted to further optimize the implementation as described in
 * the Heule, Nunkesser and Hall paper "HyperLogLog in Practice: Algorithmic
 * Engineering of a State of The Art Cardinality Estimation Algorithm".
 *
 * A sparse representation of HyperLogLog state is used, with fixed space
 * overhead.
 *
 * The copyright terms of Ohno's original version (the MIT license) follow.
 *
 * IDENTIFICATION
 *    src/common/backend/lib/hyperloglog.cpp
 *
 *-------------------------------------------------------------------------
 */

/*
 * Copyright (c) 2013 Hideaki Ohno <hide.o.j55{at}gmail.com>
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the 'Software'), to
 * deal in the Software without restriction, including without limitation the
 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
 * sell copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
 * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
 * IN THE SOFTWARE.
 */

#include "postgres.h"
#include "knl/knl_variable.h"

#include <math.h>

#include "lib/hyperloglog.h"

#define POW_2_32 4294967296.0
#define NEG_POW_2_32 (-4294967296.0)

static inline uint8 rho(uint32 x, uint8 b);

/*
 * Initialize HyperLogLog track state
 *
 * bwidth is bit width (so register size will be 2 to the power of bwidth).
 * Must be between 4 and 16 inclusive.
 */
void initHyperLogLog(hyperLogLogState* cState, uint8 bwidth)
{
    // bit width must be between 4 and 16 inclusive
    Assert(bwidth >= 4 && bwidth <= 16);

    double alpha;
    cState->registerWidth = bwidth;
    cState->nRegisters = (Size)1 << bwidth;
    cState->arrSize = sizeof(uint8) * cState->nRegisters + 1;

    /*
     * Initialize hashes array to zero, not negative infinity, per discussion
     * of the coupon collector problem in the HyperLogLog paper
     */
    cState->hashesArr = (uint8*)palloc0(cState->arrSize);

    /*
     * "alpha" is a value that for each possible number of registers (m) is
     * used to correct a systematic multiplicative bias present in m ^ 2 Z (Z
     * is "the indicator function" through which we finally compute E,
     * estimated cardinality).
     */
    switch (cState->nRegisters) {
        case 16:
            alpha = 0.673;
            break;
        case 32:
            alpha = 0.697;
            break;
        case 64:
            alpha = 0.709;
            break;
        default:
            alpha = 0.7213 / (1.0 + 1.079 / cState->nRegisters);
            break;
    }

    /*
     * Precalculate alpha m ^ 2, later used to generate "raw" HyperLogLog
     * estimate E
     */
    cState->alphaMM = alpha * cState->nRegisters * cState->nRegisters;
}

/*
 * Adds element to the estimator, from caller-supplied hash.
 *
 * It is critical that the hash value passed be an actual hash value, typically
 * generated using hash_any().  The algorithm relies on a specific bit-pattern
 * observable in conjunction with stochastic averaging.  There must be a
 * uniform distribution of bits in hash values for each distinct original value
 * observed.
 */
void addHyperLogLog(hyperLogLogState* cState, uint32 hash)
{
    uint8 count;
    uint32 index;

    /* Use the first "k" (registerWidth) bits as a zero based index */
    index = hash >> (BITS_PER_BYTE * sizeof(uint32) - cState->registerWidth);

    /* Compute the rank of the remaining 32 - "k" (registerWidth) bits */
    count = rho(hash << cState->registerWidth, BITS_PER_BYTE * sizeof(uint32) - cState->registerWidth);

    cState->hashesArr[index] = Max(count, cState->hashesArr[index]);
}

/*
 * Estimates cardinality, based on elements added so far
 */
double estimateHyperLogLog(hyperLogLogState* cState)
{
    double result;
    double sum = 0.0;
    Size i;

    for (i = 0; i < cState->nRegisters; i++) {
        sum += 1.0 / pow(2.0, cState->hashesArr[i]);
    }

    /* result set to "raw" HyperLogLog estimate (E in the HyperLogLog paper) */
    result = cState->alphaMM / sum;

    if (result <= (5.0 / 2.0) * cState->nRegisters) {
        /* Small range correction */
        int zero_count = 0;

        for (i = 0; i < cState->nRegisters; i++) {
            if (cState->hashesArr[i] == 0)
                zero_count++;
        }

        if (zero_count != 0)
            result = cState->nRegisters * log((double)cState->nRegisters / zero_count);
    } else if (result > (1.0 / 30.0) * POW_2_32) {
        /* Large range correction */
        result = NEG_POW_2_32 * log(1.0 - (result / POW_2_32));
    }

    return result;
}

/*
 * Worker for addHyperLogLog().
 *
 * Calculates the position of the first set bit in first b bits of x argument
 * starting from the first, reading from most significant to least significant
 * bits.
 *
 * Example (when considering fist 10 bits of x):
 *
 * rho(x = 0b1000000000)   returns 1
 * rho(x = 0b0010000000)   returns 3
 * rho(x = 0b0000000000)   returns b + 1
 *
 * "The binary address determined by the first b bits of x"
 *
 * Return value "j" used to index bit pattern to watch.
 */
static inline uint8 rho(uint32 x, uint8 b)
{
    uint8 j = 1;

    while (j <= b && !(x & 0x80000000)) {
        j++;
        x <<= 1;
    }

    return j;
}