Gouzi Mohaled
Ajout du dossier lib
84d2a97
use std::collections::HashMap;
use std::sync::atomic::AtomicBool;
use std::sync::Arc;
use common::cpu::CpuPermit;
use itertools::Itertools;
use rand::prelude::StdRng;
use rand::{Rng, SeedableRng};
use segment::data_types::vectors::{only_default_vector, QueryVector, DEFAULT_VECTOR_NAME};
use segment::entry::entry_point::SegmentEntry;
use segment::fixtures::payload_fixtures::random_vector;
use segment::index::hnsw_index::graph_links::GraphLinksRam;
use segment::index::hnsw_index::hnsw::{HNSWIndex, HnswIndexOpenArgs};
use segment::index::hnsw_index::num_rayon_threads;
use segment::index::{PayloadIndex, VectorIndex};
use segment::json_path::JsonPath;
use segment::segment_constructor::build_segment;
use segment::types::{
Condition, Distance, FieldCondition, Filter, HnswConfig, Indexes, Payload, PayloadSchemaType,
SearchParams, SegmentConfig, SeqNumberType, VectorDataConfig, VectorStorageType,
};
use segment::vector_storage::query::{ContextPair, DiscoveryQuery};
use serde_json::json;
use tempfile::Builder;
const MAX_EXAMPLE_PAIRS: usize = 3;
fn random_discovery_query<R: Rng + ?Sized>(rnd: &mut R, dim: usize) -> QueryVector {
let num_pairs: usize = rnd.gen_range(1..MAX_EXAMPLE_PAIRS);
let target = random_vector(rnd, dim).into();
let pairs = (0..num_pairs)
.map(|_| {
let positive = random_vector(rnd, dim).into();
let negative = random_vector(rnd, dim).into();
ContextPair { positive, negative }
})
.collect_vec();
DiscoveryQuery::new(target, pairs).into()
}
fn get_random_keyword_of<R: Rng + ?Sized>(num_options: usize, rnd: &mut R) -> String {
let random_number = rnd.gen_range(0..num_options);
format!("keyword_{random_number}")
}
/// Checks discovery search precision when using hnsw index, this is different from the tests in
/// `filtrable_hnsw_test.rs` because it sets higher `m` and `ef_construct` parameters to get better precision
#[test]
fn hnsw_discover_precision() {
let stopped = AtomicBool::new(false);
let max_failures = 5; // out of 100
let dim = 8;
let m = 16;
let num_vectors: u64 = 5_000;
let ef = 32;
let ef_construct = 64;
let distance = Distance::Cosine;
let full_scan_threshold = 16; // KB
let mut rnd = StdRng::seed_from_u64(42);
let dir = Builder::new().prefix("segment_dir").tempdir().unwrap();
let hnsw_dir = Builder::new().prefix("hnsw_dir").tempdir().unwrap();
let config = SegmentConfig {
vector_data: HashMap::from([(
DEFAULT_VECTOR_NAME.to_owned(),
VectorDataConfig {
size: dim,
distance,
storage_type: VectorStorageType::Memory,
index: Indexes::Plain {},
quantization_config: None,
multivector_config: None,
datatype: None,
},
)]),
payload_storage_type: Default::default(),
sparse_vector_data: Default::default(),
};
let mut segment = build_segment(dir.path(), &config, true).unwrap();
for n in 0..num_vectors {
let idx = n.into();
let vector = random_vector(&mut rnd, dim);
segment
.upsert_point(n as SeqNumberType, idx, only_default_vector(&vector))
.unwrap();
}
let payload_index_ptr = segment.payload_index.clone();
let hnsw_config = HnswConfig {
m,
ef_construct,
full_scan_threshold,
max_indexing_threads: 2,
on_disk: Some(false),
payload_m: None,
};
let permit_cpu_count = num_rayon_threads(hnsw_config.max_indexing_threads);
let permit = Arc::new(CpuPermit::dummy(permit_cpu_count as u32));
let vector_storage = &segment.vector_data[DEFAULT_VECTOR_NAME].vector_storage;
let quantized_vectors = &segment.vector_data[DEFAULT_VECTOR_NAME].quantized_vectors;
let hnsw_index = HNSWIndex::<GraphLinksRam>::open(HnswIndexOpenArgs {
path: hnsw_dir.path(),
id_tracker: segment.id_tracker.clone(),
vector_storage: vector_storage.clone(),
quantized_vectors: quantized_vectors.clone(),
payload_index: payload_index_ptr,
hnsw_config,
permit: Some(permit),
stopped: &stopped,
})
.unwrap();
let top = 3;
let mut discovery_hits = 0;
let attempts = 100;
for _i in 0..attempts {
let query: QueryVector = random_discovery_query(&mut rnd, dim);
let index_discovery_result = hnsw_index
.search(
&[&query],
None,
top,
Some(&SearchParams {
hnsw_ef: Some(ef),
..Default::default()
}),
&Default::default(),
)
.unwrap();
let plain_discovery_result = segment.vector_data[DEFAULT_VECTOR_NAME]
.vector_index
.borrow()
.search(&[&query], None, top, None, &Default::default())
.unwrap();
if plain_discovery_result == index_discovery_result {
discovery_hits += 1;
}
}
eprintln!("discovery_hits = {discovery_hits:#?} out of {attempts}");
assert!(
attempts - discovery_hits <= max_failures,
"hits: {discovery_hits} of {attempts}"
); // Not more than X% failures
}
/// Same test as above but with payload index and filtering
#[test]
fn filtered_hnsw_discover_precision() {
let stopped = AtomicBool::new(false);
let max_failures = 5; // out of 100
let dim = 8;
let m = 16;
let num_vectors: u64 = 5_000;
let ef = 64;
let ef_construct = 64;
let distance = Distance::Cosine;
let full_scan_threshold = 16; // KB
let num_payload_values = 4;
let mut rnd = StdRng::seed_from_u64(42);
let dir = Builder::new().prefix("segment_dir").tempdir().unwrap();
let hnsw_dir = Builder::new().prefix("hnsw_dir").tempdir().unwrap();
let config = SegmentConfig {
vector_data: HashMap::from([(
DEFAULT_VECTOR_NAME.to_owned(),
VectorDataConfig {
size: dim,
distance,
storage_type: VectorStorageType::Memory,
index: Indexes::Plain {},
quantization_config: None,
multivector_config: None,
datatype: None,
},
)]),
payload_storage_type: Default::default(),
sparse_vector_data: Default::default(),
};
let keyword_key = "keyword";
let mut segment = build_segment(dir.path(), &config, true).unwrap();
for n in 0..num_vectors {
let idx = n.into();
let vector = random_vector(&mut rnd, dim);
let keyword_payload = get_random_keyword_of(num_payload_values, &mut rnd);
let payload: Payload = json!({keyword_key:keyword_payload,}).into();
segment
.upsert_point(n as SeqNumberType, idx, only_default_vector(&vector))
.unwrap();
segment
.set_full_payload(n as SeqNumberType, idx, &payload)
.unwrap();
}
let payload_index_ptr = segment.payload_index.clone();
payload_index_ptr
.borrow_mut()
.set_indexed(&JsonPath::new(keyword_key), PayloadSchemaType::Keyword)
.unwrap();
let hnsw_config = HnswConfig {
m,
ef_construct,
full_scan_threshold,
max_indexing_threads: 2,
on_disk: Some(false),
payload_m: None,
};
let permit_cpu_count = num_rayon_threads(hnsw_config.max_indexing_threads);
let permit = Arc::new(CpuPermit::dummy(permit_cpu_count as u32));
let vector_storage = &segment.vector_data[DEFAULT_VECTOR_NAME].vector_storage;
let quantized_vectors = &segment.vector_data[DEFAULT_VECTOR_NAME].quantized_vectors;
let hnsw_index = HNSWIndex::<GraphLinksRam>::open(HnswIndexOpenArgs {
path: hnsw_dir.path(),
id_tracker: segment.id_tracker.clone(),
vector_storage: vector_storage.clone(),
quantized_vectors: quantized_vectors.clone(),
payload_index: payload_index_ptr,
hnsw_config,
permit: Some(permit),
stopped: &stopped,
})
.unwrap();
let top = 3;
let mut discovery_hits = 0;
let attempts = 100;
for _i in 0..attempts {
let filter = Filter::new_must(Condition::Field(FieldCondition::new_match(
JsonPath::new(keyword_key),
get_random_keyword_of(num_payload_values, &mut rnd).into(),
)));
let filter_query = Some(&filter);
let query: QueryVector = random_discovery_query(&mut rnd, dim);
let index_discovery_result = hnsw_index
.search(
&[&query],
filter_query,
top,
Some(&SearchParams {
hnsw_ef: Some(ef),
..Default::default()
}),
&Default::default(),
)
.unwrap();
let plain_discovery_result = segment.vector_data[DEFAULT_VECTOR_NAME]
.vector_index
.borrow()
.search(&[&query], filter_query, top, None, &Default::default())
.unwrap();
if plain_discovery_result == index_discovery_result {
discovery_hits += 1;
}
}
eprintln!("discovery_hits = {discovery_hits:#?} out of {attempts}");
assert!(
attempts - discovery_hits <= max_failures,
"hits: {discovery_hits} of {attempts}"
); // Not more than X% failures
}