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diff --git a/examples/redis-unstable/modules/vector-sets/w2v.c b/examples/redis-unstable/modules/vector-sets/w2v.c
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--- a/examples/redis-unstable/modules/vector-sets/w2v.c
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-/*
- * HNSW (Hierarchical Navigable Small World) Implementation
- * Based on the paper by Yu. A. Malkov, D. A. Yashunin
- *
- * Copyright (c) 2009-Present, Redis Ltd.
- * All rights reserved.
- *
- * Licensed under your choice of (a) the Redis Source Available License 2.0
- * (RSALv2); or (b) the Server Side Public License v1 (SSPLv1); or (c) the
- * GNU Affero General Public License v3 (AGPLv3).
- * Originally authored by: Salvatore Sanfilippo
- */
-
-#define _DEFAULT_SOURCE
-#define _USE_MATH_DEFINES
-#define _POSIX_C_SOURCE 200809L
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <string.h>
-#include <strings.h>
-#include <sys/time.h>
-#include <time.h>
-#include <stdint.h>
-#include <pthread.h>
-#include <stdatomic.h>
-#include <math.h>
-
-#include "hnsw.h"
-
-/* Get current time in milliseconds */
-uint64_t ms_time(void) {
- struct timeval tv;
- gettimeofday(&tv, NULL);
- return (uint64_t)tv.tv_sec * 1000 + (tv.tv_usec / 1000);
-}
-
-/* Implementation of the recall test with random vectors. */
-void test_recall(HNSW *index, int ef) {
- const int num_test_vectors = 10000;
- const int k = 100; // Number of nearest neighbors to find.
- if (ef < k) ef = k;
-
- // Add recall distribution counters (2% bins from 0-100%).
- int recall_bins[50] = {0};
-
- // Create array to store vectors for mixing.
- int num_source_vectors = 1000; // Enough, since we mix them.
- float **source_vectors = malloc(sizeof(float*) * num_source_vectors);
- if (!source_vectors) {
- printf("Failed to allocate memory for source vectors\n");
- return;
- }
-
- // Allocate memory for each source vector.
- for (int i = 0; i < num_source_vectors; i++) {
- source_vectors[i] = malloc(sizeof(float) * 300);
- if (!source_vectors[i]) {
- printf("Failed to allocate memory for source vector %d\n", i);
- // Clean up already allocated vectors.
- for (int j = 0; j < i; j++) free(source_vectors[j]);
- free(source_vectors);
- return;
- }
- }
-
- /* Populate source vectors from the index, we just scan the
- * first N items. */
- int source_count = 0;
- hnswNode *current = index->head;
- while (current && source_count < num_source_vectors) {
- hnsw_get_node_vector(index, current, source_vectors[source_count]);
- source_count++;
- current = current->next;
- }
-
- if (source_count < num_source_vectors) {
- printf("Warning: Only found %d nodes for source vectors\n",
- source_count);
- num_source_vectors = source_count;
- }
-
- // Allocate memory for test vector.
- float *test_vector = malloc(sizeof(float) * 300);
- if (!test_vector) {
- printf("Failed to allocate memory for test vector\n");
- for (int i = 0; i < num_source_vectors; i++) {
- free(source_vectors[i]);
- }
- free(source_vectors);
- return;
- }
-
- // Allocate memory for results.
- hnswNode **hnsw_results = malloc(sizeof(hnswNode*) * ef);
- hnswNode **linear_results = malloc(sizeof(hnswNode*) * ef);
- float *hnsw_distances = malloc(sizeof(float) * ef);
- float *linear_distances = malloc(sizeof(float) * ef);
-
- if (!hnsw_results || !linear_results || !hnsw_distances || !linear_distances) {
- printf("Failed to allocate memory for results\n");
- if (hnsw_results) free(hnsw_results);
- if (linear_results) free(linear_results);
- if (hnsw_distances) free(hnsw_distances);
- if (linear_distances) free(linear_distances);
- for (int i = 0; i < num_source_vectors; i++) free(source_vectors[i]);
- free(source_vectors);
- free(test_vector);
- return;
- }
-
- // Initialize random seed.
- srand(time(NULL));
-
- // Perform recall test.
- printf("\nPerforming recall test with EF=%d on %d random vectors...\n",
- ef, num_test_vectors);
- double total_recall = 0.0;
-
- for (int t = 0; t < num_test_vectors; t++) {
- // Create a random vector by mixing 3 existing vectors.
- float weights[3] = {0.0};
- int src_indices[3] = {0};
-
- // Generate random weights.
- float weight_sum = 0.0;
- for (int i = 0; i < 3; i++) {
- weights[i] = (float)rand() / RAND_MAX;
- weight_sum += weights[i];
- src_indices[i] = rand() % num_source_vectors;
- }
-
- // Normalize weights.
- for (int i = 0; i < 3; i++) weights[i] /= weight_sum;
-
- // Mix vectors.
- memset(test_vector, 0, sizeof(float) * 300);
- for (int i = 0; i < 3; i++) {
- for (int j = 0; j < 300; j++) {
- test_vector[j] +=
- weights[i] * source_vectors[src_indices[i]][j];
- }
- }
-
- // Perform HNSW search with the specified EF parameter.
- int slot = hnsw_acquire_read_slot(index);
- int hnsw_found = hnsw_search(index, test_vector, ef, hnsw_results, hnsw_distances, slot, 0);
-
- // Perform linear search (ground truth).
- int linear_found = hnsw_ground_truth_with_filter(index, test_vector, ef, linear_results, linear_distances, slot, 0, NULL, NULL);
- hnsw_release_read_slot(index, slot);
-
- // Calculate recall for this query (intersection size / k).
- if (hnsw_found > k) hnsw_found = k;
- if (linear_found > k) linear_found = k;
- int intersection_count = 0;
- for (int i = 0; i < linear_found; i++) {
- for (int j = 0; j < hnsw_found; j++) {
- if (linear_results[i] == hnsw_results[j]) {
- intersection_count++;
- break;
- }
- }
- }
-
- double recall = (double)intersection_count / linear_found;
- total_recall += recall;
-
- // Add to distribution bins (2% steps)
- int bin_index = (int)(recall * 50);
- if (bin_index >= 50) bin_index = 49; // Handle 100% recall case
- recall_bins[bin_index]++;
-
- // Show progress.
- if ((t+1) % 1000 == 0 || t == num_test_vectors-1) {
- printf("Processed %d/%d queries, current avg recall: %.2f%%\n",
- t+1, num_test_vectors, (total_recall / (t+1)) * 100);
- }
- }
-
- // Calculate and print final average recall.
- double avg_recall = (total_recall / num_test_vectors) * 100;
- printf("\nRecall Test Results:\n");
- printf("Average recall@%d (EF=%d): %.2f%%\n", k, ef, avg_recall);
-
- // Print recall distribution histogram.
- printf("\nRecall Distribution (2%% bins):\n");
- printf("================================\n");
-
- // Find the maximum bin count for scaling.
- int max_count = 0;
- for (int i = 0; i < 50; i++) {
- if (recall_bins[i] > max_count) max_count = recall_bins[i];
- }
-
- // Scale factor for histogram (max 50 chars wide)
- const int max_bars = 50;
- double scale = (max_count > max_bars) ? (double)max_bars / max_count : 1.0;
-
- // Print the histogram.
- for (int i = 0; i < 50; i++) {
- int bar_len = (int)(recall_bins[i] * scale);
- printf("%3d%%-%-3d%% | %-6d |", i*2, (i+1)*2, recall_bins[i]);
- for (int j = 0; j < bar_len; j++) printf("#");
- printf("\n");
- }
-
- // Cleanup.
- free(hnsw_results);
- free(linear_results);
- free(hnsw_distances);
- free(linear_distances);
- free(test_vector);
- for (int i = 0; i < num_source_vectors; i++) free(source_vectors[i]);
- free(source_vectors);
-}
-
-/* Example usage in main() */
-int w2v_single_thread(int m_param, int quantization, uint64_t numele, int massdel, int self_recall, int recall_ef) {
- /* Create index */
- HNSW *index = hnsw_new(300, quantization, m_param);
- float v[300];
- uint16_t wlen;
-
- FILE *fp = fopen("word2vec.bin","rb");
- if (fp == NULL) {
- perror("word2vec.bin file missing");
- exit(1);
- }
- unsigned char header[8];
- if (fread(header,8,1,fp) <= 0) { // Skip header
- perror("Unexpected EOF");
- exit(1);
- }
-
- uint64_t id = 0;
- uint64_t start_time = ms_time();
- char *word = NULL;
- hnswNode *search_node = NULL;
-
- while(id < numele) {
- if (fread(&wlen,2,1,fp) == 0) break;
- word = malloc(wlen+1);
- if (fread(word,wlen,1,fp) <= 0) {
- perror("unexpected EOF");
- exit(1);
- }
- word[wlen] = 0;
- if (fread(v,300*sizeof(float),1,fp) <= 0) {
- perror("unexpected EOF");
- exit(1);
- }
-
- // Plain API that acquires a write lock for the whole time.
- hnswNode *added = hnsw_insert(index, v, NULL, 0, id++, word, 200);
-
- if (!strcmp(word,"banana")) search_node = added;
- if (!(id % 10000)) printf("%llu added\n", (unsigned long long)id);
- }
- uint64_t elapsed = ms_time() - start_time;
- fclose(fp);
-
- printf("%llu words added (%llu words/sec), last word: %s\n",
- (unsigned long long)index->node_count,
- (unsigned long long)id*1000/elapsed, word);
-
- /* Search query */
- if (search_node == NULL) search_node = index->head;
- hnsw_get_node_vector(index,search_node,v);
- hnswNode *neighbors[10];
- float distances[10];
-
- int found, j;
- start_time = ms_time();
- for (j = 0; j < 20000; j++)
- found = hnsw_search(index, v, 10, neighbors, distances, 0, 0);
- elapsed = ms_time() - start_time;
- printf("%d searches performed (%llu searches/sec), nodes found: %d\n",
- j, (unsigned long long)j*1000/elapsed, found);
-
- if (found > 0) {
- printf("Found %d neighbors:\n", found);
- for (int i = 0; i < found; i++) {
- printf("Node ID: %llu, distance: %f, word: %s\n",
- (unsigned long long)neighbors[i]->id,
- distances[i], (char*)neighbors[i]->value);
- }
- }
-
- // Self-recall test (ability to find the node by its own vector).
- if (self_recall) {
- hnsw_print_stats(index);
- hnsw_test_graph_recall(index,200,0);
- }
-
- // Recall test with random vectors.
- if (recall_ef > 0) {
- test_recall(index, recall_ef);
- }
-
- uint64_t connected_nodes;
- int reciprocal_links;
- hnsw_validate_graph(index, &connected_nodes, &reciprocal_links);
-
- if (massdel) {
- int remove_perc = 95;
- printf("\nRemoving %d%% of nodes...\n", remove_perc);
- uint64_t initial_nodes = index->node_count;
-
- hnswNode *current = index->head;
- while (current && index->node_count > initial_nodes*(100-remove_perc)/100) {
- hnswNode *next = current->next;
- hnsw_delete_node(index,current,free);
- current = next;
- // In order to don't remove only contiguous nodes, from time
- // skip a node.
- if (current && !(random() % remove_perc)) current = current->next;
- }
- printf("%llu nodes left\n", (unsigned long long)index->node_count);
-
- // Test again.
- hnsw_validate_graph(index, &connected_nodes, &reciprocal_links);
- hnsw_test_graph_recall(index,200,0);
- }
-
- hnsw_free(index,free);
- return 0;
-}
-
-struct threadContext {
- pthread_mutex_t FileAccessMutex;
- uint64_t numele;
- _Atomic uint64_t SearchesDone;
- _Atomic uint64_t id;
- FILE *fp;
- HNSW *index;
- float *search_vector;
-};
-
-// Note that in practical terms inserting with many concurrent threads
-// may be *slower* and not faster, because there is a lot of
-// contention. So this is more a robustness test than anything else.
-//
-// The optimistic commit API goal is actually to exploit the ability to
-// add faster when there are many concurrent reads.
-void *threaded_insert(void *ctxptr) {
- struct threadContext *ctx = ctxptr;
- char *word;
- float v[300];
- uint16_t wlen;
-
- while(1) {
- pthread_mutex_lock(&ctx->FileAccessMutex);
- if (fread(&wlen,2,1,ctx->fp) == 0) break;
- pthread_mutex_unlock(&ctx->FileAccessMutex);
- word = malloc(wlen+1);
- if (fread(word,wlen,1,ctx->fp) <= 0) {
- perror("Unexpected EOF");
- exit(1);
- }
-
- word[wlen] = 0;
- if (fread(v,300*sizeof(float),1,ctx->fp) <= 0) {
- perror("Unexpected EOF");
- exit(1);
- }
-
- // Check-and-set API that performs the costly scan for similar
- // nodes concurrently with other read threads, and finally
- // applies the check if the graph wasn't modified.
- InsertContext *ic;
- uint64_t next_id = ctx->id++;
- ic = hnsw_prepare_insert(ctx->index, v, NULL, 0, next_id, 200);
- if (hnsw_try_commit_insert(ctx->index, ic, word) == NULL) {
- // This time try locking since the start.
- hnsw_insert(ctx->index, v, NULL, 0, next_id, word, 200);
- }
-
- if (next_id >= ctx->numele) break;
- if (!((next_id+1) % 10000))
- printf("%llu added\n", (unsigned long long)next_id+1);
- }
- return NULL;
-}
-
-void *threaded_search(void *ctxptr) {
- struct threadContext *ctx = ctxptr;
-
- /* Search query */
- hnswNode *neighbors[10];
- float distances[10];
- int found = 0;
- uint64_t last_id = 0;
-
- while(ctx->id < 1000000) {
- int slot = hnsw_acquire_read_slot(ctx->index);
- found = hnsw_search(ctx->index, ctx->search_vector, 10, neighbors, distances, slot, 0);
- hnsw_release_read_slot(ctx->index,slot);
- last_id = ++ctx->id;
- }
-
- if (found > 0 && last_id == 1000000) {
- printf("Found %d neighbors:\n", found);
- for (int i = 0; i < found; i++) {
- printf("Node ID: %llu, distance: %f, word: %s\n",
- (unsigned long long)neighbors[i]->id,
- distances[i], (char*)neighbors[i]->value);
- }
- }
- return NULL;
-}
-
-int w2v_multi_thread(int m_param, int numthreads, int quantization, uint64_t numele) {
- /* Create index */
- struct threadContext ctx;
-
- ctx.index = hnsw_new(300, quantization, m_param);
-
- ctx.fp = fopen("word2vec.bin","rb");
- if (ctx.fp == NULL) {
- perror("word2vec.bin file missing");
- exit(1);
- }
-
- unsigned char header[8];
- if (fread(header,8,1,ctx.fp) <= 0) { // Skip header
- perror("Unexpected EOF");
- exit(1);
- }
- pthread_mutex_init(&ctx.FileAccessMutex,NULL);
-
- uint64_t start_time = ms_time();
- ctx.id = 0;
- ctx.numele = numele;
- pthread_t threads[numthreads];
- for (int j = 0; j < numthreads; j++)
- pthread_create(&threads[j], NULL, threaded_insert, &ctx);
-
- // Wait for all the threads to terminate adding items.
- for (int j = 0; j < numthreads; j++)
- pthread_join(threads[j],NULL);
-
- uint64_t elapsed = ms_time() - start_time;
- fclose(ctx.fp);
-
- // Obtain the last word.
- hnswNode *node = ctx.index->head;
- char *word = node->value;
-
- // We will search this last inserted word in the next test.
- // Let's save its embedding.
- ctx.search_vector = malloc(sizeof(float)*300);
- hnsw_get_node_vector(ctx.index,node,ctx.search_vector);
-
- printf("%llu words added (%llu words/sec), last word: %s\n",
- (unsigned long long)ctx.index->node_count,
- (unsigned long long)ctx.id*1000/elapsed, word);
-
- /* Search query */
- start_time = ms_time();
- ctx.id = 0; // We will use this atomic field to stop at N queries done.
-
- for (int j = 0; j < numthreads; j++)
- pthread_create(&threads[j], NULL, threaded_search, &ctx);
-
- // Wait for all the threads to terminate searching.
- for (int j = 0; j < numthreads; j++)
- pthread_join(threads[j],NULL);
-
- elapsed = ms_time() - start_time;
- printf("%llu searches performed (%llu searches/sec)\n",
- (unsigned long long)ctx.id,
- (unsigned long long)ctx.id*1000/elapsed);
-
- hnsw_print_stats(ctx.index);
- uint64_t connected_nodes;
- int reciprocal_links;
- hnsw_validate_graph(ctx.index, &connected_nodes, &reciprocal_links);
- printf("%llu connected nodes. Links all reciprocal: %d\n",
- (unsigned long long)connected_nodes, reciprocal_links);
- hnsw_free(ctx.index,free);
- return 0;
-}
-
-int main(int argc, char **argv) {
- int quantization = HNSW_QUANT_NONE;
- int numthreads = 0;
- uint64_t numele = 20000;
- int m_param = 0; // Default value (0 means use HNSW_DEFAULT_M)
-
- /* This you can enable in single thread mode for testing: */
- int massdel = 0; // If true, does the mass deletion test.
- int self_recall = 0; // If true, does the self-recall test.
- int recall_ef = 0; // If not 0, does the recall test with this EF value.
-
- for (int j = 1; j < argc; j++) {
- int moreargs = argc-j-1;
-
- if (!strcasecmp(argv[j],"--quant")) {
- quantization = HNSW_QUANT_Q8;
- } else if (!strcasecmp(argv[j],"--bin")) {
- quantization = HNSW_QUANT_BIN;
- } else if (!strcasecmp(argv[j],"--mass-del")) {
- massdel = 1;
- } else if (!strcasecmp(argv[j],"--self-recall")) {
- self_recall = 1;
- } else if (moreargs >= 1 && !strcasecmp(argv[j],"--recall")) {
- recall_ef = atoi(argv[j+1]);
- j++;
- } else if (moreargs >= 1 && !strcasecmp(argv[j],"--threads")) {
- numthreads = atoi(argv[j+1]);
- j++;
- } else if (moreargs >= 1 && !strcasecmp(argv[j],"--numele")) {
- numele = strtoll(argv[j+1],NULL,0);
- j++;
- if (numele < 1) numele = 1;
- } else if (moreargs >= 1 && !strcasecmp(argv[j],"--m")) {
- m_param = atoi(argv[j+1]);
- j++;
- } else if (!strcasecmp(argv[j],"--help")) {
- printf("%s [--quant] [--bin] [--thread <count>] [--numele <count>] [--m <count>] [--mass-del] [--self-recall] [--recall <ef>]\n", argv[0]);
- exit(0);
- } else {
- printf("Unrecognized option or wrong number of arguments: %s\n", argv[j]);
- exit(1);
- }
- }
-
- if (quantization == HNSW_QUANT_NONE) {
- printf("You can enable quantization with --quant\n");
- }
-
- if (numthreads > 0) {
- w2v_multi_thread(m_param, numthreads, quantization, numele);
- } else {
- printf("Single thread execution. Use --threads 4 for concurrent API\n");
- w2v_single_thread(m_param, quantization, numele, massdel, self_recall, recall_ef);
- }
-}