Files
qdrant/lib/segment/src/segment_constructor/segment_builder.rs
Andrey Vasnetsov f5474ef248 Propagate HardwareCounterCell through MmapMapIndex::get_values (#8574)
* Propagate HardwareCounterCell through MmapMapIndex::get_values

Previously, `MmapMapIndex::get_values` used `ConditionedCounter::never()`,
which silently skipped all hardware IO counter tracking for mmap map index
value reads. This propagates a real `HardwareCounterCell` through the full
call chain so that disk IO from `values_iter` is properly measured.

Changes:
- `MmapMapIndex::get_values` now accepts `&HardwareCounterCell`, creates a
  `ConditionedCounter` via `make_conditioned_counter`, and measures the
  `deleted` bitvec access (matching `check_values_any` behavior).
- `MapIndex::get_values` forwards the counter to the `Mmap` variant.
- `FacetIndex::get_point_values` trait method now accepts `&HardwareCounterCell`,
  propagated through `FacetIndexEnum` and both impls (MapIndex, BoolIndex).
- `indexed_variable_retriever` accepts and forwards the counter to
  `IntMapIndex`, `KeywordIndex`, and `UuidMapIndex` calls.
- `SegmentBuilder::update` and `_get_ordering_value` accept and propagate
  the counter instead of creating disposable instances.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: add test

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Daniel Boros <dancixx@gmail.com>
2026-04-01 10:26:20 +02:00

831 lines
33 KiB
Rust

use std::borrow::Cow;
use std::cmp;
use std::collections::HashMap;
use std::hash::{Hash, Hasher};
use std::ops::Deref;
use std::path::Path;
use std::sync::Arc;
use std::sync::atomic::AtomicBool;
use ahash::AHasher;
use atomic_refcell::AtomicRefCell;
use bitvec::macros::internal::funty::Integral;
use common::budget::ResourcePermit;
use common::counter::hardware_counter::HardwareCounterCell;
use common::flags::feature_flags;
use common::progress_tracker::ProgressTracker;
use common::small_uint::U24;
use common::storage_version::StorageVersion;
use common::types::PointOffsetType;
use fs_err as fs;
use itertools::Itertools;
use rand::Rng;
use tempfile::TempDir;
use uuid::Uuid;
use super::{
create_mutable_id_tracker, create_payload_storage, create_sparse_vector_index,
create_sparse_vector_storage, get_payload_index_path, get_vector_index_path,
get_vector_storage_path, open_vector_storage,
};
use crate::common::error_logging::LogError;
use crate::common::operation_error::{OperationError, OperationResult, check_process_stopped};
use crate::entry::ReadSegmentEntry;
use crate::id_tracker::compressed::compressed_point_mappings::CompressedPointMappings;
use crate::id_tracker::immutable_id_tracker::ImmutableIdTracker;
use crate::id_tracker::in_memory_id_tracker::InMemoryIdTracker;
use crate::id_tracker::{IdTracker, IdTrackerEnum, for_each_unique_point};
use crate::index::field_index::FieldIndex;
use crate::index::sparse_index::sparse_vector_index::SparseVectorIndexOpenArgs;
use crate::index::struct_payload_index::StructPayloadIndex;
use crate::index::{PayloadIndex, VectorIndexEnum};
use crate::payload_storage::PayloadStorage;
use crate::payload_storage::payload_storage_enum::PayloadStorageEnum;
use crate::segment::{Segment, SegmentVersion};
use crate::segment_constructor::batched_reader::{BatchedVectorReader, PointData};
use crate::segment_constructor::{
VectorIndexBuildArgs, VectorIndexOpenArgs, build_vector_index, load_segment,
};
use crate::types::{
CompactExtendedPointId, ExtendedPointId, HnswGlobalConfig, PayloadFieldSchema, PayloadKeyType,
SegmentConfig, SegmentState, SeqNumberType, VectorNameBuf,
};
use crate::vector_storage::quantized::quantized_vectors::{
QuantizedVectors, QuantizedVectorsStorageType,
};
use crate::vector_storage::{VectorStorage, VectorStorageEnum};
/// Structure for constructing segment out of several other segments
pub struct SegmentBuilder {
version: SeqNumberType,
id_tracker: IdTrackerEnum,
payload_storage: PayloadStorageEnum,
vector_data: HashMap<VectorNameBuf, VectorData>,
segment_config: SegmentConfig,
hnsw_global_config: HnswGlobalConfig,
// The temporary segment directory
temp_dir: TempDir,
indexed_fields: HashMap<PayloadKeyType, PayloadFieldSchema>,
// Payload key to defragment data to
defragment_keys: Vec<PayloadKeyType>,
}
struct VectorData {
vector_storage: VectorStorageEnum,
old_indices: Vec<Arc<AtomicRefCell<VectorIndexEnum>>>,
}
impl SegmentBuilder {
pub fn new(
temp_dir: &Path,
segment_config: &SegmentConfig,
hnsw_global_config: &HnswGlobalConfig,
) -> OperationResult<Self> {
let temp_dir = create_temp_dir(temp_dir)?;
let id_tracker = if segment_config.is_appendable() {
IdTrackerEnum::MutableIdTracker(create_mutable_id_tracker(temp_dir.path())?)
} else {
IdTrackerEnum::InMemoryIdTracker(InMemoryIdTracker::new())
};
let payload_storage = create_payload_storage(temp_dir.path(), segment_config)?;
let mut vector_data = HashMap::new();
for (vector_name, vector_config) in &segment_config.vector_data {
let vector_storage_path = get_vector_storage_path(temp_dir.path(), vector_name);
let vector_storage = open_vector_storage(vector_config, &vector_storage_path)?;
vector_data.insert(
vector_name.to_owned(),
VectorData {
vector_storage,
old_indices: Vec::new(),
},
);
}
for (vector_name, sparse_vector_config) in &segment_config.sparse_vector_data {
let vector_storage_path = get_vector_storage_path(temp_dir.path(), vector_name);
let vector_storage = create_sparse_vector_storage(
&vector_storage_path,
&sparse_vector_config.storage_type,
)?;
vector_data.insert(
vector_name.to_owned(),
VectorData {
vector_storage,
old_indices: Vec::new(),
},
);
}
Ok(SegmentBuilder {
version: Default::default(), // default version is 0
id_tracker,
payload_storage,
vector_data,
segment_config: segment_config.clone(),
hnsw_global_config: hnsw_global_config.clone(),
temp_dir,
indexed_fields: Default::default(),
defragment_keys: vec![],
})
}
pub fn set_defragment_keys(&mut self, keys: Vec<PayloadKeyType>) {
self.defragment_keys = keys;
}
pub fn remove_indexed_field(&mut self, field: &PayloadKeyType) {
self.indexed_fields.remove(field);
}
pub fn remove_index_field_if_incompatible(
&mut self,
field: &PayloadKeyType,
schema: &PayloadFieldSchema,
) {
if let Some(existing_schema) = self.indexed_fields.get(field)
&& existing_schema != schema
{
self.indexed_fields.remove(field);
}
}
pub fn add_indexed_field(&mut self, field: PayloadKeyType, schema: PayloadFieldSchema) {
self.indexed_fields.insert(field, schema);
}
/// Get ordering value from the payload index
///
/// Ordering value is used to sort points to keep points with the same payload together
/// Under the assumption that points are queried together, this will reduce the number of
/// random disk reads.
///
/// Note: This value doesn't guarantee strict ordering in ambiguous cases.
/// It should only be used in optimization purposes, not for correctness.
fn _get_ordering_value(
internal_id: PointOffsetType,
indices: &[FieldIndex],
hw_counter: &HardwareCounterCell,
) -> u64 {
let mut ordering = 0;
for payload_index in indices {
match payload_index {
FieldIndex::IntMapIndex(index) => {
if let Some(numbers) = index.get_values(internal_id, hw_counter) {
for number in numbers {
ordering = ordering.wrapping_add(*number as u64);
}
}
break;
}
FieldIndex::KeywordIndex(index) => {
if let Some(keywords) = index.get_values(internal_id, hw_counter) {
for keyword in keywords {
let mut hasher = AHasher::default();
keyword.hash(&mut hasher);
ordering = ordering.wrapping_add(hasher.finish());
}
}
break;
}
FieldIndex::IntIndex(index) => {
if let Some(numbers) = index.get_values(internal_id) {
for number in numbers {
ordering = ordering.wrapping_add(number as u64);
}
}
break;
}
FieldIndex::FloatIndex(index) => {
if let Some(numbers) = index.get_values(internal_id) {
for number in numbers {
// Bit-level conversion of f64 to u64 preserves ordering
// (for positive numbers)
//
// 0.001 -> 4562254508917369340
// 0.01 -> 4576918229304087675
// 0.05 -> 4587366580439587226
// 0.1 -> 4591870180066957722
// 1 -> 4607182418800017408
// 2 -> 4611686018427387904
// 10 -> 4621819117588971520
ordering = ordering.wrapping_add(number.to_bits());
}
}
break;
}
FieldIndex::DatetimeIndex(index) => {
if let Some(dates) = index.get_values(internal_id) {
for date in dates {
ordering = ordering.wrapping_add(date as u64);
}
}
break;
}
FieldIndex::UuidMapIndex(index) => {
if let Some(ids) = index.get_values(internal_id, hw_counter) {
uuid_hash(&mut ordering, ids.map(Cow::into_owned));
}
break;
}
FieldIndex::UuidIndex(index) => {
if let Some(ids) = index.get_values(internal_id) {
uuid_hash(&mut ordering, ids);
}
break;
}
FieldIndex::GeoIndex(_) => {}
FieldIndex::FullTextIndex(_) => {}
FieldIndex::BoolIndex(_) => {}
FieldIndex::NullIndex(_) => {}
}
}
ordering
}
/// Update current segment builder with all (not deleted) vectors and payload from `segments`.
/// Also defragments if the `defragment_key` is set.
/// However only points in the same call get defragmented and grouped together.
/// Therefore this function should only be called once, unless this behavior is desired.
///
/// # Result
///
/// * `bool` - if `true` - data successfully added, if `false` - process was interrupted
///
pub fn update(
&mut self,
segments: &[&Segment],
stopped: &AtomicBool,
hw_counter: &HardwareCounterCell,
) -> OperationResult<bool> {
if segments.is_empty() {
return Ok(true);
}
if segments.len() > U24::MAX as usize {
return Err(OperationError::service_error("Too many segments to update"));
}
let locked_id_trackers = segments.iter().map(|s| s.id_tracker.borrow()).collect_vec();
let max_point_count = locked_id_trackers
.iter()
.map(|id_tracker| id_tracker.available_point_count())
.max();
let mut points_to_insert = Vec::with_capacity(max_point_count.unwrap_or_default());
for_each_unique_point(locked_id_trackers.iter().map(|i| i.deref()), |item| {
points_to_insert.push(PointData {
external_id: CompactExtendedPointId::from(item.external_id),
segment_index: U24::new_wrapped(item.tracker_index as u32),
internal_id: item.internal_id,
version: item.version,
ordering: 0,
});
});
drop(locked_id_trackers);
let payloads: Vec<_> = segments.iter().map(|i| i.payload_index.borrow()).collect();
for defragment_key in &self.defragment_keys {
for point_data in &mut points_to_insert {
let Some(payload_indices) = payloads[point_data.segment_index.get() as usize]
.field_indexes
.get(defragment_key)
else {
continue;
};
point_data.ordering = point_data.ordering.wrapping_add(Self::_get_ordering_value(
point_data.internal_id,
payload_indices,
hw_counter,
));
}
}
if !self.defragment_keys.is_empty() {
points_to_insert.sort_unstable_by_key(|i| i.ordering);
}
let src_segment_max_version = segments.iter().map(|i| i.version()).max().unwrap();
self.version = cmp::max(self.version, src_segment_max_version);
let vector_storages: Vec<_> = segments.iter().map(|i| &i.vector_data).collect();
let internal_range_start = self.id_tracker.available_point_count() as PointOffsetType;
let internal_range_end = internal_range_start + points_to_insert.len() as PointOffsetType;
let new_internal_range = internal_range_start..internal_range_end;
for (vector_name, vector_data) in &mut self.vector_data {
check_process_stopped(stopped)?;
let other_vector_storages = vector_storages
.iter()
.map(|i| {
let other_vector_data = i.get(vector_name).ok_or_else(|| {
OperationError::service_error(format!(
"Cannot update from other segment because it is \
missing vector name {vector_name}"
))
})?;
vector_data
.old_indices
.push(Arc::clone(&other_vector_data.vector_index));
Ok(other_vector_data.vector_storage.borrow())
})
.collect::<Result<Vec<_>, OperationError>>()?;
let mut vectors_iter: BatchedVectorReader =
BatchedVectorReader::new(&points_to_insert, &other_vector_storages);
let internal_range = vector_data
.vector_storage
.update_from(&mut vectors_iter, stopped)?;
if new_internal_range != internal_range {
debug_assert!(
new_internal_range != internal_range,
"Internal ids range mismatch between self segment vectors and other segment vectors\n\
vector_name: {vector_name}, self range: {new_internal_range:?}, other range: {internal_range:?}"
);
return Err(OperationError::service_error(format!(
"Internal ids range mismatch between self segment vectors and other segment vectors\n\
vector_name: {vector_name}, self range: {new_internal_range:?}, other range: {internal_range:?}"
)));
}
}
let hw_counter = HardwareCounterCell::disposable(); // Disposable counter for internal operations.
let internal_id_iter = new_internal_range.zip(points_to_insert.iter());
for (new_internal_id, point_data) in internal_id_iter {
check_process_stopped(stopped)?;
let old_internal_id = point_data.internal_id;
let other_payload = payloads[point_data.segment_index.get() as usize]
.get_payload_sequential(old_internal_id, &hw_counter)?; // Internal operation, no measurement needed!
match self
.id_tracker
.internal_id(ExtendedPointId::from(point_data.external_id))
{
Some(existing_internal_id) => {
debug_assert!(
false,
"This code should not be reachable, cause points were resolved with `merged_points`"
);
let existing_external_version = self
.id_tracker
.internal_version(existing_internal_id)
.unwrap();
let remove_id = if existing_external_version < point_data.version {
// Other version is the newest, remove the existing one and replace
self.id_tracker
.drop(ExtendedPointId::from(point_data.external_id))?;
self.id_tracker.set_link(
ExtendedPointId::from(point_data.external_id),
new_internal_id,
)?;
self.id_tracker
.set_internal_version(new_internal_id, point_data.version)?;
self.payload_storage
.clear(existing_internal_id, &hw_counter)?;
existing_internal_id
} else {
// Old version is still good, do not move anything else
// Mark newly added vector as removed
new_internal_id
};
for vector_data in self.vector_data.values_mut() {
vector_data.vector_storage.delete_vector(remove_id)?;
}
}
None => {
self.id_tracker.set_link(
ExtendedPointId::from(point_data.external_id),
new_internal_id,
)?;
self.id_tracker
.set_internal_version(new_internal_id, point_data.version)?;
}
}
// Propagate payload to new segment
if !other_payload.is_empty() {
self.payload_storage.set(
new_internal_id,
&other_payload,
&HardwareCounterCell::disposable(),
)?;
}
}
for payload in payloads {
for (field, payload_schema) in payload.indexed_fields() {
self.indexed_fields.insert(field, payload_schema);
}
}
Ok(true)
}
/// Test wrapper for [`SegmentBuilder::build`].
#[cfg(feature = "testing")]
pub fn build_for_test(self, segments_path: &Path) -> Segment {
use crate::index::hnsw_index::get_num_indexing_threads;
self.build(
segments_path,
Uuid::new_v4(),
None,
ResourcePermit::dummy(get_num_indexing_threads(0) as u32),
&AtomicBool::new(false),
&mut rand::rng(),
&HardwareCounterCell::new(),
ProgressTracker::new_for_test(),
)
.unwrap()
}
#[allow(clippy::too_many_arguments)]
pub fn build<R: Rng + ?Sized>(
self,
segments_path: &Path,
segment_uuid: Uuid,
deferred_internal_id: Option<PointOffsetType>,
permit: ResourcePermit,
stopped: &AtomicBool,
rng: &mut R,
hw_counter: &HardwareCounterCell,
progress_segment: ProgressTracker,
) -> Result<Segment, OperationError> {
let temp_dir = {
let SegmentBuilder {
version,
id_tracker,
payload_storage,
mut vector_data,
segment_config,
hnsw_global_config,
temp_dir,
indexed_fields,
defragment_keys: _,
} = self;
let progress_quantization = progress_segment.subtask("quantization");
let progress_payload_index = progress_segment.subtask("payload_index");
let indexed_fields = indexed_fields
.into_iter()
.map(|(field, payload_schema)| {
let progress = progress_payload_index
.subtask(format!("{}:{field}", payload_schema.name()));
(field, payload_schema, progress)
})
.collect::<Vec<(PayloadKeyType, PayloadFieldSchema, ProgressTracker)>>();
let progress_vector_index = progress_segment.subtask("vector_index");
let progress_sparse_vector_index = progress_segment.subtask("sparse_vector_index");
let appendable_flag = segment_config.is_appendable();
payload_storage.flusher()()?;
let payload_storage_arc = Arc::new(AtomicRefCell::new(payload_storage));
let id_tracker = match id_tracker {
IdTrackerEnum::InMemoryIdTracker(in_memory_id_tracker) => {
let (versions, mappings) = in_memory_id_tracker.into_internal();
let compressed_mapping = CompressedPointMappings::from_mappings(mappings);
let immutable_id_tracker =
ImmutableIdTracker::new(temp_dir.path(), &versions, compressed_mapping)?;
IdTrackerEnum::ImmutableIdTracker(immutable_id_tracker)
}
IdTrackerEnum::MutableIdTracker(_) => id_tracker,
IdTrackerEnum::ImmutableIdTracker(_) => {
unreachable!("ImmutableIdTracker should not be used for building segment")
}
};
id_tracker.mapping_flusher()()?;
id_tracker.versions_flusher()()?;
let id_tracker_arc = Arc::new(AtomicRefCell::new(id_tracker));
let mut quantized_vectors = Self::update_quantization(
&segment_config,
&vector_data,
temp_dir.path(),
&permit,
stopped,
progress_quantization,
)?;
let mut vector_storages_arc = HashMap::new();
let mut old_indices = HashMap::new();
for vector_name in segment_config.vector_data.keys() {
let Some(vector_info) = vector_data.remove(vector_name) else {
return Err(OperationError::service_error(format!(
"Vector storage for vector name {vector_name} not found on segment build"
)));
};
vector_info.vector_storage.flusher()()?;
let vector_storage_arc = Arc::new(AtomicRefCell::new(vector_info.vector_storage));
old_indices.insert(vector_name, vector_info.old_indices);
vector_storages_arc.insert(vector_name.to_owned(), vector_storage_arc);
}
for vector_name in segment_config.sparse_vector_data.keys() {
let Some(vector_info) = vector_data.remove(vector_name) else {
return Err(OperationError::service_error(format!(
"Vector storage for vector name {vector_name} not found on sparse segment build"
)));
};
vector_info.vector_storage.flusher()()?;
let vector_storage_arc = Arc::new(AtomicRefCell::new(vector_info.vector_storage));
vector_storages_arc.insert(vector_name.to_owned(), vector_storage_arc);
}
let payload_index_path = get_payload_index_path(temp_dir.path());
progress_payload_index.start();
let mut payload_index = StructPayloadIndex::open(
payload_storage_arc.clone(),
id_tracker_arc.clone(),
vector_storages_arc.clone(),
&payload_index_path,
appendable_flag,
true,
)?;
for (field, payload_schema, progress) in indexed_fields {
progress.start();
payload_index.set_indexed(&field, payload_schema, hw_counter)?;
check_process_stopped(stopped)?;
}
drop(progress_payload_index);
payload_index.flusher()()?;
let payload_index_arc = Arc::new(AtomicRefCell::new(payload_index));
// Try to lock GPU device.
#[cfg(feature = "gpu")]
let gpu_devices_manager = crate::index::hnsw_index::gpu::GPU_DEVICES_MANAGER.read();
#[cfg(feature = "gpu")]
let gpu_device = gpu_devices_manager
.as_ref()
.map(|devices_manager| devices_manager.lock_device(stopped))
.transpose()?
.flatten();
#[cfg(not(feature = "gpu"))]
let gpu_device = None;
// Arc permit to share it with each vector store
let permit = Arc::new(permit);
progress_vector_index.start();
for (vector_name, vector_config) in &segment_config.vector_data {
let vector_storage = vector_storages_arc.remove(vector_name).unwrap();
let quantized_vectors =
Arc::new(AtomicRefCell::new(quantized_vectors.remove(vector_name)));
let index = build_vector_index(
vector_config,
VectorIndexOpenArgs {
path: &get_vector_index_path(temp_dir.path(), vector_name),
id_tracker: id_tracker_arc.clone(),
vector_storage: vector_storage.clone(),
payload_index: payload_index_arc.clone(),
quantized_vectors: quantized_vectors.clone(),
},
VectorIndexBuildArgs {
permit: permit.clone(),
old_indices: &old_indices.remove(vector_name).unwrap(),
gpu_device: gpu_device.as_ref(),
stopped,
rng,
hnsw_global_config: &hnsw_global_config,
feature_flags: feature_flags(),
progress: progress_vector_index.running_subtask(vector_name),
},
)?;
if vector_storage.borrow().is_on_disk() {
// If vector storage is expected to be on-disk, we need to clear cache
// to avoid cache pollution
vector_storage.borrow().clear_cache()?;
}
if let Some(quantized_vectors) = quantized_vectors.borrow().as_ref() {
quantized_vectors.clear_cache()?;
}
// Index if always loaded on-disk=true from build function
// So we may clear unconditionally
index.clear_cache()?;
}
drop(progress_vector_index);
progress_sparse_vector_index.start();
for (vector_name, sparse_vector_config) in &segment_config.sparse_vector_data {
let vector_index_path = get_vector_index_path(temp_dir.path(), vector_name);
let vector_storage_arc = vector_storages_arc.remove(vector_name).unwrap();
let index = create_sparse_vector_index(SparseVectorIndexOpenArgs {
config: sparse_vector_config.index,
id_tracker: id_tracker_arc.clone(),
vector_storage: vector_storage_arc.clone(),
payload_index: payload_index_arc.clone(),
path: &vector_index_path,
stopped,
tick_progress: || (),
// We don't use the `index` returned here so we always set deferred to `None`. It's been loaded properly later.
deferred_internal_id: None,
})?;
if sparse_vector_config.storage_type.is_on_disk() {
// If vector storage is expected to be on-disk, we need to clear cache
// to avoid cache pollution
vector_storage_arc.borrow().clear_cache()?;
}
if sparse_vector_config.index.index_type.is_on_disk() {
index.clear_cache()?;
}
// Ensure we don't use the sparse vector index in future because it's missing proper setup of deferred points.
drop(index);
}
drop(progress_sparse_vector_index);
if segment_config.payload_storage_type.is_on_disk() {
// If payload storage is expected to be on-disk, we need to clear cache
// to avoid cache pollution
payload_storage_arc.borrow().clear_cache()?;
}
// Clear cache for payload index to avoid cache pollution
payload_index_arc.borrow().clear_cache_if_on_disk()?;
// We're done with CPU-intensive tasks, release CPU permit
debug_assert_eq!(
Arc::strong_count(&permit),
1,
"Must release CPU permit Arc everywhere",
);
drop(permit);
// Finalize the newly created segment by saving config and version
Segment::save_state(
&SegmentState {
initial_version: Some(version), // TODO!?
version: Some(version),
config: segment_config,
},
temp_dir.path(),
)?;
// After version is saved, segment can be loaded on restart
SegmentVersion::save(temp_dir.path())?;
// All temp data is evicted from RAM
temp_dir
};
// Move fully constructed segment into collection directory and load back to RAM
let destination_path = segments_path.join(segment_uuid.to_string());
fs::rename(temp_dir.keep(), &destination_path)
.describe("Moving segment data after optimization")?;
load_segment(
&destination_path,
segment_uuid,
deferred_internal_id,
stopped,
)
}
fn update_quantization(
segment_config: &SegmentConfig,
vector_storages: &HashMap<VectorNameBuf, VectorData>,
temp_path: &Path,
permit: &ResourcePermit,
stopped: &AtomicBool,
progress: ProgressTracker,
) -> OperationResult<HashMap<VectorNameBuf, QuantizedVectors>> {
progress.start();
let config = segment_config.clone();
let mut quantized_vectors_map = HashMap::new();
for (vector_name, vector_info) in vector_storages {
let Some(vector_config) = config.vector_data.get(vector_name) else {
continue;
};
let is_appendable = vector_config.is_appendable();
// If appendable quantization feature is not enabled, skip appendable case.
if is_appendable && !common::flags::feature_flags().appendable_quantization {
continue;
}
let max_threads = permit.num_cpus as usize;
if let Some(quantization_config) = config.quantization_config(vector_name) {
// Don't build quantization for appendable vectors if quantization method does not support it
if is_appendable && !quantization_config.supports_appendable() {
continue;
}
let progress_vector = progress.running_subtask(vector_name);
let segment_path = temp_path;
let quantized_storage_type = if is_appendable {
QuantizedVectorsStorageType::Mutable
} else {
QuantizedVectorsStorageType::Immutable
};
let vector_storage_path = get_vector_storage_path(segment_path, vector_name);
let quantized_vectors = QuantizedVectors::create(
&vector_info.vector_storage,
quantization_config,
quantized_storage_type,
&vector_storage_path,
max_threads,
stopped,
)?;
quantized_vectors_map.insert(vector_name.to_owned(), quantized_vectors);
drop(progress_vector);
}
}
Ok(quantized_vectors_map)
}
/// Populate cache of all vector storages, so it will be faster to build index
pub fn populate_vector_storages(&self) -> OperationResult<()> {
for vector_data in self.vector_data.values() {
vector_data.vector_storage.populate()?;
}
Ok(())
}
}
fn uuid_hash<I>(hash: &mut u64, ids: I)
where
I: Iterator<Item = u128>,
{
for id in ids {
let uuid = Uuid::from_u128(id);
// Not all Uuid versions hold timestamp data. The most common version, v4 for example is completely
// random and can't be sorted. To still allow defragmentation, we assume that usually the same
// version gets used for a payload key and implement an alternative sorting criteria, that just
// takes the Uuids bytes to group equal Uuids together.
if let Some(timestamp) = uuid.get_timestamp() {
*hash = hash.wrapping_add(timestamp.to_gregorian().0);
} else {
// First part of u128
*hash = hash.wrapping_add((id >> 64) as u64);
// Second part of u128
*hash = hash.wrapping_add(id as u64);
}
}
}
fn create_temp_dir(parent_path: &Path) -> Result<TempDir, OperationError> {
// Ensure parent path exists
fs::create_dir_all(parent_path)
.and_then(|_| TempDir::with_prefix_in("segment_builder_", parent_path))
.map_err(|err| {
OperationError::service_error(format!(
"Could not create temp directory in `{}`: {}",
parent_path.display(),
err
))
})
}