sqlite-vec/tests/fuzz/ivf-quantize.c
Alex Garcia 3358e127f6 Add IVF index for vec0 virtual table
Add inverted file (IVF) index type: partitions vectors into clusters via
k-means, quantizes to int8, and scans only the nearest nprobe partitions at
query time. Includes shadow table management, insert/delete, KNN integration,
compile flag (SQLITE_VEC_ENABLE_IVF), fuzz targets, and tests. Removes
superseded ivf-benchmarks/ directory.
2026-03-31 01:18:47 -07:00

129 lines
4 KiB
C

/**
* Fuzz target: IVF quantization functions.
*
* Directly exercises ivf_quantize_int8 and ivf_quantize_binary with
* fuzz-controlled dimensions and float data. Targets:
* - ivf_quantize_int8: clamping, int8 overflow boundary
* - ivf_quantize_binary: D not divisible by 8, memset(D/8) undercount
* - Round-trip through CREATE TABLE + INSERT with quantized IVF
*/
#include <stdint.h>
#include <stddef.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include "sqlite-vec.h"
#include "sqlite3.h"
#include <assert.h>
int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
if (size < 8) return 0;
int rc;
sqlite3 *db;
rc = sqlite3_open(":memory:", &db);
assert(rc == SQLITE_OK);
rc = sqlite3_vec_init(db, NULL, NULL);
assert(rc == SQLITE_OK);
// Byte 0: quantizer type (0=int8, 1=binary)
// Byte 1: dimension (1..64, but we test edge cases)
// Byte 2: nlist (1..8)
// Byte 3: num_vectors to insert (1..32)
// Remaining: float data
int qtype = data[0] % 2;
int dim = (data[1] % 64) + 1;
int nlist = (data[2] % 8) + 1;
int num_vecs = (data[3] % 32) + 1;
const uint8_t *payload = data + 4;
size_t payload_size = size - 4;
// For binary quantizer, D must be multiple of 8 to avoid the D/8 bug
// in production. But we explicitly want to test non-multiples too to
// find the bug. Use dim as-is.
const char *quantizer = qtype ? "binary" : "int8";
// Binary quantizer needs D multiple of 8 in current code, but let's
// test both valid and invalid dimensions to see what happens.
// For binary with non-multiple-of-8, the code does memset(dst, 0, D/8)
// which underallocates when D%8 != 0.
char sql[256];
snprintf(sql, sizeof(sql),
"CREATE VIRTUAL TABLE v USING vec0("
"emb float[%d] indexed by ivf(nlist=%d, nprobe=%d, quantizer=%s))",
dim, nlist, nlist, quantizer);
rc = sqlite3_exec(db, sql, NULL, NULL, NULL);
if (rc != SQLITE_OK) { sqlite3_close(db); return 0; }
// Insert vectors with fuzz-controlled float values
sqlite3_stmt *stmtInsert = NULL;
sqlite3_prepare_v2(db,
"INSERT INTO v(rowid, emb) VALUES (?, ?)", -1, &stmtInsert, NULL);
if (!stmtInsert) { sqlite3_close(db); return 0; }
size_t offset = 0;
for (int i = 0; i < num_vecs && offset < payload_size; i++) {
// Build float vector from fuzz data
float *vec = sqlite3_malloc(dim * sizeof(float));
if (!vec) break;
for (int d = 0; d < dim; d++) {
if (offset + 4 <= payload_size) {
// Use raw bytes as float -- can produce NaN, Inf, denormals
memcpy(&vec[d], payload + offset, sizeof(float));
offset += 4;
} else if (offset < payload_size) {
// Partial: use byte as scaled value
vec[d] = ((float)(int8_t)payload[offset++]) / 50.0f;
} else {
vec[d] = 0.0f;
}
}
sqlite3_reset(stmtInsert);
sqlite3_bind_int64(stmtInsert, 1, (int64_t)(i + 1));
sqlite3_bind_blob(stmtInsert, 2, vec, dim * sizeof(float), SQLITE_TRANSIENT);
sqlite3_step(stmtInsert);
sqlite3_free(vec);
}
sqlite3_finalize(stmtInsert);
// Trigger compute-centroids to exercise kmeans + quantization together
sqlite3_exec(db,
"INSERT INTO v(rowid) VALUES ('compute-centroids')",
NULL, NULL, NULL);
// KNN query with fuzz-derived query vector
{
float *qvec = sqlite3_malloc(dim * sizeof(float));
if (qvec) {
for (int d = 0; d < dim; d++) {
if (offset < payload_size) {
qvec[d] = ((float)(int8_t)payload[offset++]) / 10.0f;
} else {
qvec[d] = 1.0f;
}
}
sqlite3_stmt *stmtKnn = NULL;
sqlite3_prepare_v2(db,
"SELECT rowid, distance FROM v WHERE emb MATCH ? LIMIT 5",
-1, &stmtKnn, NULL);
if (stmtKnn) {
sqlite3_bind_blob(stmtKnn, 1, qvec, dim * sizeof(float), SQLITE_TRANSIENT);
while (sqlite3_step(stmtKnn) == SQLITE_ROW) {}
sqlite3_finalize(stmtKnn);
}
sqlite3_free(qvec);
}
}
// Full scan
sqlite3_exec(db, "SELECT * FROM v", NULL, NULL, NULL);
sqlite3_close(db);
return 0;
}