milvus/internal/core/src/segcore/FieldIndexing.h
2024-11-18 15:44:31 +08:00

470 lines
15 KiB
C++

// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software distributed under the License
// is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
// or implied. See the License for the specific language governing permissions and limitations under the License
#pragma once
#include <cstddef>
#include <optional>
#include <map>
#include <memory>
#include <tbb/concurrent_vector.h>
#include <index/Index.h>
#include <index/ScalarIndex.h>
#include "AckResponder.h"
#include "InsertRecord.h"
#include "common/FieldMeta.h"
#include "common/Schema.h"
#include "common/IndexMeta.h"
#include "IndexConfigGenerator.h"
#include "knowhere/config.h"
#include "log/Log.h"
#include "segcore/SegcoreConfig.h"
#include "index/VectorIndex.h"
namespace milvus::segcore {
// this should be concurrent
// All concurrent
class FieldIndexing {
public:
explicit FieldIndexing(const FieldMeta& field_meta,
const SegcoreConfig& segcore_config)
: field_meta_(field_meta), segcore_config_(segcore_config) {
}
FieldIndexing(const FieldIndexing&) = delete;
FieldIndexing&
operator=(const FieldIndexing&) = delete;
virtual ~FieldIndexing() = default;
// Do this in parallel
virtual void
BuildIndexRange(int64_t ack_beg,
int64_t ack_end,
const VectorBase* vec_base) = 0;
virtual void
AppendSegmentIndexDense(int64_t reserved_offset,
int64_t size,
const VectorBase* vec_base,
const void* data_source) = 0;
// new_data_dim is the dimension of the new data being appended(data_source)
virtual void
AppendSegmentIndexSparse(int64_t reserved_offset,
int64_t size,
int64_t new_data_dim,
const VectorBase* vec_base,
const void* data_source) = 0;
virtual void
GetDataFromIndex(const int64_t* seg_offsets,
int64_t count,
int64_t element_size,
void* output) = 0;
virtual int64_t
get_build_threshold() const = 0;
virtual bool
sync_data_with_index() const = 0;
virtual bool
has_raw_data() const {
return true;
}
const FieldMeta&
get_field_meta() {
return field_meta_;
}
int64_t
get_size_per_chunk() const {
return segcore_config_.get_chunk_rows();
}
virtual index::IndexBase*
get_chunk_indexing(int64_t chunk_id) const = 0;
virtual index::IndexBase*
get_segment_indexing() const = 0;
protected:
// additional info
const FieldMeta& field_meta_;
const SegcoreConfig& segcore_config_;
};
template <typename T>
class ScalarFieldIndexing : public FieldIndexing {
public:
using FieldIndexing::FieldIndexing;
void
BuildIndexRange(int64_t ack_beg,
int64_t ack_end,
const VectorBase* vec_base) override;
void
AppendSegmentIndexDense(int64_t reserved_offset,
int64_t size,
const VectorBase* vec_base,
const void* data_source) override {
PanicInfo(Unsupported,
"scalar index doesn't support append vector segment index");
}
void
AppendSegmentIndexSparse(int64_t reserved_offset,
int64_t size,
int64_t new_data_dim,
const VectorBase* vec_base,
const void* data_source) override {
PanicInfo(Unsupported,
"scalar index doesn't support append vector segment index");
}
void
GetDataFromIndex(const int64_t* seg_offsets,
int64_t count,
int64_t element_size,
void* output) override {
PanicInfo(Unsupported,
"scalar index don't support get data from index");
}
int64_t
get_build_threshold() const override {
return 0;
}
bool
sync_data_with_index() const override {
return false;
}
// concurrent
index::ScalarIndex<T>*
get_chunk_indexing(int64_t chunk_id) const override {
Assert(!field_meta_.is_vector());
return data_.at(chunk_id).get();
}
index::IndexBase*
get_segment_indexing() const override {
return nullptr;
}
private:
tbb::concurrent_vector<index::ScalarIndexPtr<T>> data_;
};
class VectorFieldIndexing : public FieldIndexing {
public:
using FieldIndexing::FieldIndexing;
explicit VectorFieldIndexing(const FieldMeta& field_meta,
const FieldIndexMeta& field_index_meta,
int64_t segment_max_row_count,
const SegcoreConfig& segcore_config);
void
BuildIndexRange(int64_t ack_beg,
int64_t ack_end,
const VectorBase* vec_base) override;
void
AppendSegmentIndexDense(int64_t reserved_offset,
int64_t size,
const VectorBase* field_raw_data,
const void* data_source) override;
void
AppendSegmentIndexSparse(int64_t reserved_offset,
int64_t size,
int64_t new_data_dim,
const VectorBase* field_raw_data,
const void* data_source) override;
// for sparse float vector:
// * element_size is not used
// * output_raw pooints at a milvus::schema::proto::SparseFloatArray.
void
GetDataFromIndex(const int64_t* seg_offsets,
int64_t count,
int64_t element_size,
void* output) override;
int64_t
get_build_threshold() const override {
return config_->GetBuildThreshold();
}
// concurrent
index::IndexBase*
get_chunk_indexing(int64_t chunk_id) const override {
Assert(field_meta_.is_vector());
return data_.at(chunk_id).get();
}
index::IndexBase*
get_segment_indexing() const override {
return index_.get();
}
bool
sync_data_with_index() const override;
bool
has_raw_data() const override;
knowhere::Json
get_build_params() const;
SearchInfo
get_search_params(const SearchInfo& searchInfo) const;
private:
void
recreate_index();
// current number of rows in index.
std::atomic<idx_t> index_cur_ = 0;
// whether the growing index has been built.
std::atomic<bool> built_;
// whether all insertd data has been added to growing index and can be
// searched.
std::atomic<bool> sync_with_index_;
std::unique_ptr<VecIndexConfig> config_;
std::unique_ptr<index::VectorIndex> index_;
tbb::concurrent_vector<std::unique_ptr<index::VectorIndex>> data_;
};
std::unique_ptr<FieldIndexing>
CreateIndex(const FieldMeta& field_meta,
const FieldIndexMeta& field_index_meta,
int64_t segment_max_row_count,
const SegcoreConfig& segcore_config);
class IndexingRecord {
public:
explicit IndexingRecord(const Schema& schema,
const IndexMetaPtr& indexMetaPtr,
const SegcoreConfig& segcore_config)
: schema_(schema),
index_meta_(indexMetaPtr),
segcore_config_(segcore_config) {
Initialize();
}
void
Initialize() {
int offset_id = 0;
auto enable_growing_mmap = storage::MmapManager::GetInstance()
.GetMmapConfig()
.GetEnableGrowingMmap();
for (auto& [field_id, field_meta] : schema_.get_fields()) {
++offset_id;
if (field_meta.is_vector() &&
segcore_config_.get_enable_interim_segment_index() &&
!enable_growing_mmap) {
// TODO: skip binary small index now, reenable after config.yaml is ready
if (field_meta.get_data_type() == DataType::VECTOR_BINARY) {
continue;
}
if (index_meta_ == nullptr) {
LOG_INFO("miss index meta for growing interim index");
continue;
}
//Small-Index enabled, create index for vector field only
if (index_meta_->GetIndexMaxRowCount() > 0 &&
index_meta_->HasFiled(field_id)) {
auto vec_field_meta =
index_meta_->GetFieldIndexMeta(field_id);
//Disable growing index for flat
if (!vec_field_meta.IsFlatIndex()) {
field_indexings_.try_emplace(
field_id,
CreateIndex(field_meta,
vec_field_meta,
index_meta_->GetIndexMaxRowCount(),
segcore_config_));
}
}
}
}
assert(offset_id == schema_.size());
}
// concurrent, reentrant
template <bool is_sealed>
void
AppendingIndex(int64_t reserved_offset,
int64_t size,
FieldId fieldId,
const DataArray* stream_data,
const InsertRecord<is_sealed>& record) {
if (!is_in(fieldId)) {
return;
}
auto& indexing = field_indexings_.at(fieldId);
auto type = indexing->get_field_meta().get_data_type();
auto field_raw_data = record.get_data_base(fieldId);
if (type == DataType::VECTOR_FLOAT &&
reserved_offset + size >= indexing->get_build_threshold()) {
indexing->AppendSegmentIndexDense(
reserved_offset,
size,
field_raw_data,
stream_data->vectors().float_vector().data().data());
} else if (type == DataType::VECTOR_SPARSE_FLOAT) {
auto data = SparseBytesToRows(
stream_data->vectors().sparse_float_vector().contents());
indexing->AppendSegmentIndexSparse(
reserved_offset,
size,
stream_data->vectors().sparse_float_vector().dim(),
field_raw_data,
data.get());
}
}
// concurrent, reentrant
template <bool is_sealed>
void
AppendingIndex(int64_t reserved_offset,
int64_t size,
FieldId fieldId,
const FieldDataPtr data,
const InsertRecord<is_sealed>& record) {
if (!is_in(fieldId)) {
return;
}
auto& indexing = field_indexings_.at(fieldId);
auto type = indexing->get_field_meta().get_data_type();
const void* p = data->Data();
if (type == DataType::VECTOR_FLOAT &&
reserved_offset + size >= indexing->get_build_threshold()) {
auto vec_base = record.get_data_base(fieldId);
indexing->AppendSegmentIndexDense(
reserved_offset, size, vec_base, data->Data());
} else if (type == DataType::VECTOR_SPARSE_FLOAT) {
auto vec_base = record.get_data_base(fieldId);
indexing->AppendSegmentIndexSparse(
reserved_offset,
size,
std::dynamic_pointer_cast<const FieldData<SparseFloatVector>>(
data)
->Dim(),
vec_base,
p);
}
}
// for sparse float vector:
// * element_size is not used
// * output_raw pooints at a milvus::schema::proto::SparseFloatArray.
void
GetDataFromIndex(FieldId fieldId,
const int64_t* seg_offsets,
int64_t count,
int64_t element_size,
void* output_raw) const {
if (is_in(fieldId)) {
auto& indexing = field_indexings_.at(fieldId);
if (indexing->get_field_meta().get_data_type() ==
DataType::VECTOR_FLOAT ||
indexing->get_field_meta().get_data_type() ==
DataType::VECTOR_SPARSE_FLOAT) {
indexing->GetDataFromIndex(
seg_offsets, count, element_size, output_raw);
}
}
}
// result shows the index has synchronized with all inserted data or not
bool
SyncDataWithIndex(FieldId fieldId) const {
if (is_in(fieldId)) {
const FieldIndexing& indexing = get_field_indexing(fieldId);
return indexing.sync_data_with_index();
}
return false;
}
bool
HasRawData(FieldId fieldId) const {
if (is_in(fieldId) && SyncDataWithIndex(fieldId)) {
const FieldIndexing& indexing = get_field_indexing(fieldId);
return indexing.has_raw_data();
}
return true;
}
// concurrent
int64_t
get_finished_ack() const {
return finished_ack_.GetAck();
}
const FieldIndexing&
get_field_indexing(FieldId field_id) const {
Assert(field_indexings_.count(field_id));
return *field_indexings_.at(field_id);
}
const VectorFieldIndexing&
get_vec_field_indexing(FieldId field_id) const {
auto& field_indexing = get_field_indexing(field_id);
auto ptr = dynamic_cast<const VectorFieldIndexing*>(&field_indexing);
AssertInfo(ptr, "invalid indexing");
return *ptr;
}
const FieldIndexMeta&
get_field_index_meta(FieldId fieldId) const {
return index_meta_->GetFieldIndexMeta(fieldId);
}
bool
is_in(FieldId field_id) const {
return field_indexings_.count(field_id);
}
template <typename T>
auto
get_scalar_field_indexing(FieldId field_id) const
-> const ScalarFieldIndexing<T>& {
auto& entry = get_field_indexing(field_id);
auto ptr = dynamic_cast<const ScalarFieldIndexing<T>*>(&entry);
AssertInfo(ptr, "invalid indexing");
return *ptr;
}
private:
const Schema& schema_;
IndexMetaPtr index_meta_;
const SegcoreConfig& segcore_config_;
// control info
std::atomic<int64_t> resource_ack_ = 0;
// std::atomic<int64_t> finished_ack_ = 0;
AckResponder finished_ack_;
std::mutex mutex_;
// field_offset => indexing
std::map<FieldId, std::unique_ptr<FieldIndexing>> field_indexings_;
};
} // namespace milvus::segcore