2010-10-03 18:06:19 +00:00
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#include <assert.h>
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#include <math.h>
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#include <stdio.h>
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#include "bloomFilter.h"
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/**
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Variable names:
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m: number of bloom filter bits
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n: number of bloom filter entries
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k: number of hash functions = ln(2) * (m/n)
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c: m/n
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f: false positive rate = (1/2)^k ~= 0.6185)^(m/n) ;
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2011-06-09 00:02:20 +00:00
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taking log_0.6185 of both sides: k log_0.6185(1/2) = m/n ;
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2010-10-03 18:06:19 +00:00
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applying change of base: k log(1/2) / log(6.128) = m / n
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2011-06-09 00:02:20 +00:00
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(but that's not useful; this is:)
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2010-10-03 18:06:19 +00:00
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2011-06-09 00:02:20 +00:00
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f ~= 0.6185 ^ (m/n)
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log_0.6185(f) = m/n
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log(f) / log(0.6185) = m / n
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m = n log f / log 0.6185
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2010-10-03 18:06:19 +00:00
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p: probability a given bit is 1 ~= e^(-kn/m)
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*/
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2011-06-09 00:02:20 +00:00
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static uint64_t bloom_filter_calc_num_buckets(uint64_t num_expected_items,
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double false_positive_rate) {
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// m = n log f / log 0.6185
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return ((uint64_t) ceil(((double)num_expected_items) *
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log(false_positive_rate) / log(0.6185)));
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2010-10-03 18:06:19 +00:00
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// m = - n ln f / ln 2 ^ 2 = - n ln f / 0.4804 = - n log f / (0.4343 * 0.4804) = -n log f / 0.2086
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}
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2011-06-09 00:02:20 +00:00
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static int bloom_filter_calc_num_functions(uint64_t num_expected_items,
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uint64_t num_buckets) {
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2010-10-03 18:06:19 +00:00
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// k = ln(2) * (m/n)
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2011-06-09 00:02:20 +00:00
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int ret = floor((log(2) / log(exp(1.0)))
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* ((double) num_buckets) / (double) num_expected_items);
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2010-10-03 18:06:19 +00:00
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if(ret == 0) {
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return 1;
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} else {
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return ret;
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}
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}
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2011-06-09 00:02:20 +00:00
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static double bloom_filter_current_false_positive_rate(uint64_t actual_number_of_items,
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uint64_t num_buckets) {
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2010-10-03 18:06:19 +00:00
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// 0.6185^(m/n)
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return pow(0.6185, ((double)num_buckets)/(double)actual_number_of_items);
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}
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struct bloom_filter_t {
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uint64_t (*func_a)(const char *, int);
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uint64_t (*func_b)(const char *, int);
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uint64_t num_expected_items;
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double desired_false_positive_rate;
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uint64_t num_buckets;
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uint8_t * buckets;
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uint64_t num_functions;
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uint64_t*result_scratch_space;
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uint64_t actual_number_of_items;
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};
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bloom_filter_t * bloom_filter_create(uint64_t(*func_a)(const char*,int),
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uint64_t(*func_b)(const char*,int),
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uint64_t num_expected_items,
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double false_positive_rate) {
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bloom_filter_t * ret = malloc(sizeof(*ret));
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ret->func_a = func_a;
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ret->func_b = func_b;
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ret->num_expected_items = num_expected_items;
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ret->desired_false_positive_rate = false_positive_rate;
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ret->num_buckets = bloom_filter_calc_num_buckets(ret->num_expected_items, ret->desired_false_positive_rate);
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ret->buckets = calloc((ret->num_buckets / 8) + ((ret->num_buckets % 8 == 0) ? 0 : 1), 1);
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ret->num_functions = bloom_filter_calc_num_functions(ret->num_expected_items, ret->num_buckets);
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ret->result_scratch_space = malloc(sizeof(*ret->result_scratch_space) * ret->num_functions);
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ret->actual_number_of_items = 0;
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return ret;
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}
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void bloom_filter_destroy(bloom_filter_t* bf) {
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free(bf->buckets);
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2011-04-25 15:28:45 +00:00
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free(bf->result_scratch_space);
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2010-10-03 18:06:19 +00:00
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free(bf);
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}
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2011-06-09 00:02:20 +00:00
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// TODO this uses %. It would be better if it used &, but that would potentially double the memory we use. #define a flag.
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2010-10-03 18:06:19 +00:00
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static void bloom_filter_calc_functions(bloom_filter_t * bf, uint64_t* results, const char * key, int keylen) {
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uint64_t fa = bf->func_a(key, keylen);
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uint64_t fb = bf->func_b(key, keylen);
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results[0] = (fa + fb) % bf->num_buckets;
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for(int i = 1; i < bf->num_functions; i++) {
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results[i] = (results[i-1] + fb ) % bf->num_buckets;
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}
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}
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static const uint8_t bloom_filter_bit_masks[] = { 1, 2, 4, 8, 16, 32, 64, 128 };
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static void bloom_filter_set_bit(bloom_filter_t *bf, uint64_t bit) {
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uint64_t array_offset = bit >> 3;
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uint8_t bit_number = bit & 7;
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assert(bit < bf->num_buckets);
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bf->buckets[array_offset] |= bloom_filter_bit_masks[bit_number];
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}
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/**
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@return 0 if the bit is not set, true otherwise.
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*/
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static uint8_t bloom_filter_get_bit(bloom_filter_t *bf, uint64_t bit) {
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uint64_t array_offset = bit >> 3;
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uint8_t bit_number = bit & 7;
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assert(bit < bf->num_buckets);
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return bf->buckets[array_offset] & bloom_filter_bit_masks[bit_number];
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}
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void bloom_filter_insert(bloom_filter_t * bf, const char *key, int len) {
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bloom_filter_calc_functions(bf, bf->result_scratch_space, key, len);
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for(int i = 0; i < bf->num_functions; i++) {
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bloom_filter_set_bit(bf, bf->result_scratch_space[i]);
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}
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bf->actual_number_of_items++;
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}
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int bloom_filter_lookup(bloom_filter_t * bf, const char * key, int len) {
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int ret = 1;
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uint64_t * scratch = malloc(sizeof(*scratch) * bf->num_functions);
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bloom_filter_calc_functions(bf, scratch, key, len);
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for(int i = 0; i < bf->num_functions; i++) {
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ret = ret && bloom_filter_get_bit(bf, scratch[i]);
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}
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free(scratch);
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return ret;
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}
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void bloom_filter_print_stats(bloom_filter_t * bf) {
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printf("Design capacity %lld design false positive %f\n"
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"Current item count %lld current false positive %f\n"
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"Number of buckets %lld (%f MB), number of hash functions %lld\n",
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2011-06-09 00:02:20 +00:00
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(long long)bf->num_expected_items, bf->desired_false_positive_rate,
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(long long)bf->actual_number_of_items,
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bloom_filter_current_false_positive_rate(bf->actual_number_of_items,
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bf->num_buckets),
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(long long)bf->num_buckets,
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((double)bf->num_buckets) / (8.0 * 1024.0 * 1024.0),
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(long long)bf->num_functions);
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2010-10-03 18:06:19 +00:00
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}
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