qdrant/lib/segment/tests/integration/exact_search_test.rs

use std::collections::HashMap;
use std::sync::Arc;
use std::sync::atomic::AtomicBool;

use common::budget::ResourcePermit;
use common::counter::hardware_counter::HardwareCounterCell;
use common::flags::FeatureFlags;
use common::progress_tracker::ProgressTracker;
use common::types::PointOffsetType;
use itertools::Itertools;
use ordered_float::OrderedFloat;
use rand::RngExt;
use segment::data_types::vectors::{DEFAULT_VECTOR_NAME, only_default_vector};
use segment::entry::entry_point::SegmentEntry;
use segment::fixtures::payload_fixtures::{random_int_payload, random_vector};
use segment::index::hnsw_index::get_num_indexing_threads;
use segment::index::hnsw_index::hnsw::{HNSWIndex, HnswIndexOpenArgs};
use segment::index::{PayloadIndex, VectorIndex};
use segment::json_path::JsonPath;
use segment::payload_json;
use segment::segment_constructor::VectorIndexBuildArgs;
use segment::segment_constructor::simple_segment_constructor::build_simple_segment;
use segment::types::{
    Condition, Distance, FieldCondition, Filter, HnswConfig, HnswGlobalConfig, PayloadSchemaType,
    Range, SearchParams, SeqNumberType,
};
use tempfile::Builder;

#[test]
fn exact_search_test() {
    let stopped = AtomicBool::new(false);

    let dim = 8;
    let m = 8;
    let num_vectors: u64 = 5_000;
    let ef = 32;
    let ef_construct = 16;
    let distance = Distance::Cosine;
    let full_scan_threshold = 16; // KB
    let indexing_threshold = 500; // num vectors
    let num_payload_values = 2;

    let mut rng = rand::rng();

    let dir = Builder::new().prefix("segment_dir").tempdir().unwrap();
    let hnsw_dir = Builder::new().prefix("hnsw_dir").tempdir().unwrap();

    let int_key = "int";

    let hw_counter = HardwareCounterCell::new();
    let is_stopped = AtomicBool::new(false);

    let mut segment = build_simple_segment(dir.path(), dim, distance).unwrap();
    for n in 0..num_vectors {
        let idx = n.into();
        let vector = random_vector(&mut rng, dim);

        let int_payload = random_int_payload(&mut rng, num_payload_values..=num_payload_values);
        let payload = payload_json! {int_key: int_payload};

        segment
            .upsert_point(
                n as SeqNumberType,
                idx,
                only_default_vector(&vector),
                &hw_counter,
            )
            .unwrap();
        segment
            .set_full_payload(n as SeqNumberType, idx, &payload, &hw_counter)
            .unwrap();
    }
    // let opnum = num_vectors + 1;

    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,
        inline_storage: None,
    };

    payload_index_ptr
        .borrow_mut()
        .set_indexed(
            &JsonPath::new(int_key),
            PayloadSchemaType::Integer,
            &hw_counter,
        )
        .unwrap();
    let borrowed_payload_index = payload_index_ptr.borrow();
    let blocks = borrowed_payload_index
        .payload_blocks(&JsonPath::new(int_key), indexing_threshold)
        .collect_vec();
    for block in blocks.iter() {
        assert!(
            block.condition.range.is_some(),
            "only range conditions should be generated for this type of payload"
        );
    }

    let mut coverage: HashMap<PointOffsetType, usize> = Default::default();
    for block in &blocks {
        let px = payload_index_ptr.borrow();
        let filter = Filter::new_must(Condition::Field(block.condition.clone()));
        let points = px.query_points(&filter, &hw_counter, &is_stopped);
        for point in points {
            coverage.insert(point, coverage.get(&point).unwrap_or(&0) + 1);
        }
    }
    let expected_blocks = num_vectors as usize / indexing_threshold * 2;

    eprintln!("blocks.len() = {:#?}", blocks.len());
    assert!(
        (blocks.len() as i64 - expected_blocks as i64).abs() <= 3,
        "real number of payload blocks is too far from expected"
    );

    assert_eq!(
        coverage.len(),
        num_vectors as usize,
        "not all points are covered by payload blocks"
    );

    let permit_cpu_count = get_num_indexing_threads(hnsw_config.max_indexing_threads);
    let permit = Arc::new(ResourcePermit::dummy(permit_cpu_count as u32));
    let hnsw_index = HNSWIndex::build(
        HnswIndexOpenArgs {
            path: hnsw_dir.path(),
            id_tracker: segment.id_tracker.clone(),
            vector_storage: segment.vector_data[DEFAULT_VECTOR_NAME]
                .vector_storage
                .clone(),
            quantized_vectors: segment.vector_data[DEFAULT_VECTOR_NAME]
                .quantized_vectors
                .clone(),
            payload_index: payload_index_ptr.clone(),
            hnsw_config,
        },
        VectorIndexBuildArgs {
            permit,
            old_indices: &[],
            gpu_device: None,
            rng: &mut rng,
            stopped: &stopped,
            hnsw_global_config: &HnswGlobalConfig::default(),
            feature_flags: FeatureFlags::default(),
            progress: ProgressTracker::new_for_test(),
        },
    )
    .unwrap();

    let top = 3;
    let attempts = 50;
    for _i in 0..attempts {
        let query = random_vector(&mut rng, dim).into();

        let index_result = hnsw_index
            .search(
                &[&query],
                None,
                top,
                Some(&SearchParams {
                    hnsw_ef: Some(ef),
                    exact: true,
                    ..Default::default()
                }),
                &Default::default(),
            )
            .unwrap();
        let plain_result = segment.vector_data[DEFAULT_VECTOR_NAME]
            .vector_index
            .borrow()
            .search(&[&query], None, top, None, &Default::default())
            .unwrap();

        assert_eq!(
            index_result, plain_result,
            "Exact search is not equal to plain search"
        );

        let range_size = 40;
        let left_range = rng.random_range(0..400);
        let right_range = left_range + range_size;

        let filter = Filter::new_must(Condition::Field(FieldCondition::new_range(
            JsonPath::new(int_key),
            Range {
                lt: None,
                gt: None,
                gte: Some(OrderedFloat(f64::from(left_range))),
                lte: Some(OrderedFloat(f64::from(right_range))),
            },
        )));

        let filter_query = Some(&filter);
        let index_result = hnsw_index
            .search(
                &[&query],
                filter_query,
                top,
                Some(&SearchParams {
                    hnsw_ef: Some(ef),
                    exact: true,
                    ..Default::default()
                }),
                &Default::default(),
            )
            .unwrap();
        let plain_result = segment.vector_data[DEFAULT_VECTOR_NAME]
            .vector_index
            .borrow()
            .search(&[&query], filter_query, top, None, &Default::default())
            .unwrap();

        assert_eq!(
            index_result, plain_result,
            "Exact search is not equal to plain search"
        );
    }
}