| /*------------------------------------------------------------------------- |
| * |
| * hyperloglog.c |
| * HyperLogLog cardinality estimator |
| * |
| * Portions Copyright (c) 2014-2023, 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/backend/lib/hyperloglog.c |
| * |
| *------------------------------------------------------------------------- |
| */ |
| |
| /* |
| * 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 <math.h> |
| |
| #include "lib/hyperloglog.h" |
| #include "port/pg_bitutils.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, by bit width |
| * |
| * 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) |
| { |
| double alpha; |
| |
| if (bwidth < 4 || bwidth > 16) |
| elog(ERROR, "bit width must be between 4 and 16 inclusive"); |
| |
| 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 = 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); |
| } |
| |
| /* |
| * Precalculate alpha m ^ 2, later used to generate "raw" HyperLogLog |
| * estimate E |
| */ |
| cState->alphaMM = alpha * cState->nRegisters * cState->nRegisters; |
| } |
| |
| /* |
| * Initialize HyperLogLog track state, by error rate |
| * |
| * Instead of specifying bwidth (number of bits used for addressing the |
| * register), this method allows sizing the counter for particular error |
| * rate using a simple formula from the paper: |
| * |
| * e = 1.04 / sqrt(m) |
| * |
| * where 'm' is the number of registers, i.e. (2^bwidth). The method |
| * finds the lowest bwidth with 'e' below the requested error rate, and |
| * then uses it to initialize the counter. |
| * |
| * As bwidth has to be between 4 and 16, the worst possible error rate |
| * is between ~25% (bwidth=4) and 0.4% (bwidth=16). |
| */ |
| void |
| initHyperLogLogError(hyperLogLogState *cState, double error) |
| { |
| uint8 bwidth = 4; |
| |
| while (bwidth < 16) |
| { |
| double m = (Size) 1 << bwidth; |
| |
| if (1.04 / sqrt(m) < error) |
| break; |
| bwidth++; |
| } |
| |
| initHyperLogLog(cState, bwidth); |
| } |
| |
| /* |
| * Free HyperLogLog track state |
| * |
| * Releases allocated resources, but not the state itself (in case it's not |
| * allocated by palloc). |
| */ |
| void |
| freeHyperLogLog(hyperLogLogState *cState) |
| { |
| Assert(cState->hashesArr != NULL); |
| pfree(cState->hashesArr); |
| } |
| |
| /* |
| * 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; |
| int 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; |
| |
| if (x == 0) |
| return b + 1; |
| |
| j = 32 - pg_leftmost_one_pos32(x); |
| |
| if (j > b) |
| return b + 1; |
| |
| return j; |
| } |