milvus/internal/core/src/common/FieldDataInterface.h
Buqian Zheng 070dfc77bf
feat: [Sparse Float Vector] segcore basics and index building (#30357)
This commit adds sparse float vector support to segcore with the
following:

1. data type enum declarations
2. Adds corresponding data structures for handling sparse float vectors
in various scenarios, including:
* FieldData as a bridge between the binlog and the in memory data
structures
* mmap::Column as the in memory representation of a sparse float vector
column of a sealed segment;
* ConcurrentVector as the in memory representation of a sparse float
vector of a growing segment which supports inserts.
3. Adds logic in payload reader/writer to serialize/deserialize from/to
binlog
4. Adds the ability to allow the index node to build sparse float vector
index
5. Adds the ability to allow the query node to build growing index for
growing segment and temp index for sealed segment without index built

This commit also includes some code cleanness, comment improvement, and
some unit tests for sparse vector.

https://github.com/milvus-io/milvus/issues/29419

Signed-off-by: Buqian Zheng <zhengbuqian@gmail.com>
2024-03-11 14:45:02 +08:00

458 lines
13 KiB
C++

// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you 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 <iostream>
#include <memory>
#include <type_traits>
#include <vector>
#include <string>
#include <mutex>
#include <shared_mutex>
#include "arrow/api.h"
#include "arrow/array/array_binary.h"
#include "common/FieldMeta.h"
#include "common/Utils.h"
#include "common/VectorTrait.h"
#include "common/EasyAssert.h"
#include "common/Array.h"
#include "knowhere/dataset.h"
namespace milvus {
using DataType = milvus::DataType;
class FieldDataBase {
public:
explicit FieldDataBase(DataType data_type) : data_type_(data_type) {
}
virtual ~FieldDataBase() = default;
// For all FieldDataImpl subclasses, source is a pointer to element_count of
// Type
virtual void
FillFieldData(const void* source, ssize_t element_count) = 0;
virtual void
FillFieldData(const std::shared_ptr<arrow::Array> array) = 0;
// For all FieldDataImpl subclasses, this method returns Type* that points
// at all rows in this field data.
virtual void*
Data() = 0;
// For all FieldDataImpl subclasses, this method returns a Type* that points
// at the offset-th row of this field data.
virtual const void*
RawValue(ssize_t offset) const = 0;
// Returns the serialized bytes size of all rows.
virtual int64_t
Size() const = 0;
// Returns the serialized bytes size of the index-th row.
virtual int64_t
Size(ssize_t index) const = 0;
// Number of filled rows
virtual size_t
Length() const = 0;
virtual bool
IsFull() const = 0;
virtual void
Reserve(size_t cap) = 0;
public:
// row capacity
virtual int64_t
get_num_rows() const = 0;
// each row is represented as how many Type elements
virtual int64_t
get_dim() const = 0;
DataType
get_data_type() const {
return data_type_;
}
protected:
const DataType data_type_;
};
template <typename Type, bool is_type_entire_row = false>
class FieldDataImpl : public FieldDataBase {
public:
FieldDataImpl(FieldDataImpl&&) = delete;
FieldDataImpl(const FieldDataImpl&) = delete;
FieldDataImpl&
operator=(FieldDataImpl&&) = delete;
FieldDataImpl&
operator=(const FieldDataImpl&) = delete;
public:
explicit FieldDataImpl(ssize_t dim,
DataType data_type,
int64_t buffered_num_rows = 0)
: FieldDataBase(data_type),
num_rows_(buffered_num_rows),
dim_(is_type_entire_row ? 1 : dim) {
field_data_.resize(num_rows_ * dim_);
}
explicit FieldDataImpl(size_t dim,
DataType type,
FixedVector<Type>&& field_data)
: FieldDataBase(type), dim_(is_type_entire_row ? 1 : dim) {
field_data_ = std::move(field_data);
Assert(field_data.size() % dim == 0);
num_rows_ = field_data.size() / dim;
}
void
FillFieldData(const void* source, ssize_t element_count) override;
void
FillFieldData(const std::shared_ptr<arrow::Array> array) override;
virtual void
FillFieldData(const std::shared_ptr<arrow::StringArray>& array) {
PanicInfo(NotImplemented,
"FillFieldData(const std::shared_ptr<arrow::StringArray>& "
"array) not implemented by default");
}
virtual void
FillFieldData(const std::shared_ptr<arrow::BinaryArray>& array) {
PanicInfo(NotImplemented,
"FillFieldData(const std::shared_ptr<arrow::BinaryArray>& "
"array) not implemented by default");
}
std::string
GetName() const {
return "FieldDataImpl";
}
void*
Data() override {
return field_data_.data();
}
const void*
RawValue(ssize_t offset) const override {
AssertInfo(offset < get_num_rows(),
"field data subscript out of range");
AssertInfo(offset < length(),
"subscript position don't has valid value");
return &field_data_[offset];
}
int64_t
Size() const override {
return sizeof(Type) * length() * dim_;
}
int64_t
Size(ssize_t offset) const override {
AssertInfo(offset < get_num_rows(),
"field data subscript out of range");
AssertInfo(offset < length(),
"subscript position don't has valid value");
return sizeof(Type) * dim_;
}
size_t
Length() const override {
return length_;
}
bool
IsFull() const override {
auto buffered_num_rows = get_num_rows();
auto filled_num_rows = length();
return buffered_num_rows == filled_num_rows;
}
void
Reserve(size_t cap) override {
std::lock_guard lck(num_rows_mutex_);
if (cap > num_rows_) {
num_rows_ = cap;
field_data_.resize(num_rows_ * dim_);
}
}
public:
int64_t
get_num_rows() const override {
std::shared_lock lck(num_rows_mutex_);
return num_rows_;
}
void
resize_field_data(int64_t num_rows) {
std::lock_guard lck(num_rows_mutex_);
if (num_rows > num_rows_) {
num_rows_ = num_rows;
field_data_.resize(num_rows_ * dim_);
}
}
size_t
length() const {
std::shared_lock lck(tell_mutex_);
return length_;
}
int64_t
get_dim() const override {
return dim_;
}
protected:
FixedVector<Type> field_data_;
// number of elements field_data_ can hold
int64_t num_rows_;
mutable std::shared_mutex num_rows_mutex_;
// number of actual elements in field_data_
size_t length_{};
mutable std::shared_mutex tell_mutex_;
private:
const ssize_t dim_;
};
class FieldDataStringImpl : public FieldDataImpl<std::string, true> {
public:
explicit FieldDataStringImpl(DataType data_type, int64_t total_num_rows = 0)
: FieldDataImpl<std::string, true>(1, data_type, total_num_rows) {
}
int64_t
Size() const override {
int64_t data_size = 0;
for (size_t offset = 0; offset < length(); ++offset) {
data_size += field_data_[offset].size();
}
return data_size;
}
int64_t
Size(ssize_t offset) const override {
AssertInfo(offset < get_num_rows(),
"field data subscript out of range");
AssertInfo(offset < length(),
"subscript position don't has valid value");
return field_data_[offset].size();
}
void
FillFieldData(const std::shared_ptr<arrow::StringArray>& array) override {
auto n = array->length();
if (n == 0) {
return;
}
std::lock_guard lck(tell_mutex_);
if (length_ + n > get_num_rows()) {
resize_field_data(length_ + n);
}
auto i = 0;
for (const auto& str : *array) {
field_data_[length_ + i] = str.value();
i++;
}
length_ += n;
}
};
class FieldDataJsonImpl : public FieldDataImpl<Json, true> {
public:
explicit FieldDataJsonImpl(DataType data_type, int64_t total_num_rows = 0)
: FieldDataImpl<Json, true>(1, data_type, total_num_rows) {
}
int64_t
Size() const override {
int64_t data_size = 0;
for (size_t offset = 0; offset < length(); ++offset) {
data_size += field_data_[offset].data().size();
}
return data_size;
}
int64_t
Size(ssize_t offset) const override {
AssertInfo(offset < get_num_rows(),
"field data subscript out of range");
AssertInfo(offset < length(),
"subscript position don't has valid value");
return field_data_[offset].data().size();
}
void
FillFieldData(const std::shared_ptr<arrow::Array> array) override {
AssertInfo(array->type()->id() == arrow::Type::type::BINARY,
"inconsistent data type, expected: {}, got: {}",
"BINARY",
array->type()->ToString());
auto json_array = std::dynamic_pointer_cast<arrow::BinaryArray>(array);
FillFieldData(json_array);
}
void
FillFieldData(const std::shared_ptr<arrow::BinaryArray>& array) override {
auto n = array->length();
if (n == 0) {
return;
}
std::lock_guard lck(tell_mutex_);
if (length_ + n > get_num_rows()) {
resize_field_data(length_ + n);
}
auto i = 0;
for (const auto& json : *array) {
field_data_[length_ + i] =
Json(simdjson::padded_string(json.value()));
i++;
}
length_ += n;
}
};
class FieldDataSparseVectorImpl
: public FieldDataImpl<knowhere::sparse::SparseRow<float>, true> {
public:
explicit FieldDataSparseVectorImpl(DataType data_type,
int64_t total_num_rows = 0)
: FieldDataImpl<knowhere::sparse::SparseRow<float>, true>(
/*dim=*/1, data_type, total_num_rows),
vec_dim_(0) {
AssertInfo(data_type == DataType::VECTOR_SPARSE_FLOAT,
"invalid data type for sparse vector");
}
int64_t
Size() const override {
int64_t data_size = 0;
for (size_t i = 0; i < length(); ++i) {
data_size += field_data_[i].data_byte_size();
}
return data_size;
}
int64_t
Size(ssize_t offset) const override {
AssertInfo(offset < get_num_rows(),
"field data subscript out of range");
AssertInfo(offset < length(),
"subscript position don't has valid value");
return field_data_[offset].data_byte_size();
}
// source is a pointer to element_count of
// knowhere::sparse::SparseRow<float>
void
FillFieldData(const void* source, ssize_t element_count) override {
if (element_count == 0) {
return;
}
std::lock_guard lck(tell_mutex_);
if (length_ + element_count > get_num_rows()) {
resize_field_data(length_ + element_count);
}
auto ptr =
static_cast<const knowhere::sparse::SparseRow<float>*>(source);
for (int64_t i = 0; i < element_count; ++i) {
auto& row = ptr[i];
vec_dim_ = std::max(vec_dim_, row.dim());
}
std::copy_n(ptr, element_count, field_data_.data() + length_);
length_ += element_count;
}
// each binary in array is a knowhere::sparse::SparseRow<float>
void
FillFieldData(const std::shared_ptr<arrow::BinaryArray>& array) override {
auto n = array->length();
if (n == 0) {
return;
}
std::lock_guard lck(tell_mutex_);
if (length_ + n > get_num_rows()) {
resize_field_data(length_ + n);
}
for (int64_t i = 0; i < array->length(); ++i) {
auto view = array->GetView(i);
auto& row = field_data_[length_ + i];
row = CopyAndWrapSparseRow(view.data(), view.size());
vec_dim_ = std::max(vec_dim_, row.dim());
}
length_ += n;
}
int64_t
Dim() const {
return vec_dim_;
}
private:
int64_t vec_dim_;
};
class FieldDataArrayImpl : public FieldDataImpl<Array, true> {
public:
explicit FieldDataArrayImpl(DataType data_type, int64_t total_num_rows = 0)
: FieldDataImpl<Array, true>(1, data_type, total_num_rows) {
}
int64_t
Size() const {
int64_t data_size = 0;
for (size_t offset = 0; offset < length(); ++offset) {
data_size += field_data_[offset].byte_size();
}
return data_size;
}
int64_t
Size(ssize_t offset) const {
AssertInfo(offset < get_num_rows(),
"field data subscript out of range");
AssertInfo(offset < length(),
"subscript position don't has valid value");
return field_data_[offset].byte_size();
}
};
} // namespace milvus