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// Licensed to the Apache Software Foundation (ASF) 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.
#include "storage/compaction/collection_similarity.h"
#include "core/column/column_nullable.h"
#include "core/column/column_vector.h"
namespace doris {
#include "common/compile_check_begin.h"
void CollectionSimilarity::collect(segment_v2::rowid_t row_id, float score) {
_bm25_scores[row_id] += score;
}
void CollectionSimilarity::get_bm25_scores(roaring::Roaring* row_bitmap,
IColumn::MutablePtr& scores,
std::unique_ptr<std::vector<uint64_t>>& row_ids,
const ScoreRangeFilterPtr& filter) const {
std::vector<float> filtered_scores;
filtered_scores.reserve(row_bitmap->cardinality());
roaring::Roaring new_bitmap;
for (uint32_t row_id : *row_bitmap) {
auto it = _bm25_scores.find(row_id);
float score = (it != _bm25_scores.end()) ? it->second : 0.0F;
if (filter && !filter->pass(score)) {
continue;
}
row_ids->push_back(row_id);
filtered_scores.push_back(score);
new_bitmap.add(row_id);
}
size_t num_results = row_ids->size();
auto score_column = ColumnFloat32::create(num_results);
if (num_results > 0) {
memcpy(score_column->get_data().data(), filtered_scores.data(),
num_results * sizeof(float));
}
*row_bitmap = std::move(new_bitmap);
auto null_map = ColumnUInt8::create(num_results, 0);
scores = ColumnNullable::create(std::move(score_column), std::move(null_map));
}
void CollectionSimilarity::get_topn_bm25_scores(roaring::Roaring* row_bitmap,
IColumn::MutablePtr& scores,
std::unique_ptr<std::vector<uint64_t>>& row_ids,
OrderType order_type, size_t top_k,
const ScoreRangeFilterPtr& filter) const {
std::vector<std::pair<uint32_t, float>> top_k_results;
if (order_type == OrderType::DESC) {
find_top_k_scores<OrderType::DESC>(row_bitmap, _bm25_scores, top_k, top_k_results, filter);
} else {
find_top_k_scores<OrderType::ASC>(row_bitmap, _bm25_scores, top_k, top_k_results, filter);
}
size_t num_results = top_k_results.size();
auto score_column = ColumnFloat32::create(num_results);
auto& score_data = score_column->get_data();
row_ids->resize(num_results);
roaring::Roaring new_bitmap;
for (size_t i = 0; i < num_results; ++i) {
(*row_ids)[i] = top_k_results[i].first;
score_data[i] = top_k_results[i].second;
new_bitmap.add(top_k_results[i].first);
}
*row_bitmap = std::move(new_bitmap);
auto null_map = ColumnUInt8::create(num_results, 0);
scores = ColumnNullable::create(std::move(score_column), std::move(null_map));
}
template <OrderType order>
void CollectionSimilarity::find_top_k_scores(const roaring::Roaring* row_bitmap,
const ScoreMap& all_scores, size_t top_k,
std::vector<std::pair<uint32_t, float>>& top_k_results,
const ScoreRangeFilterPtr& filter) const {
if (top_k <= 0) {
return;
}
auto pair_comp = [](const std::pair<uint32_t, float>& a, const std::pair<uint32_t, float>& b) {
if constexpr (order == OrderType::DESC) {
return a.second > b.second;
} else {
return a.second < b.second;
}
};
std::priority_queue<std::pair<uint32_t, float>, std::vector<std::pair<uint32_t, float>>,
decltype(pair_comp)>
top_k_heap(pair_comp);
std::vector<uint32_t> zero_score_ids;
for (uint32_t row_id : *row_bitmap) {
auto it = all_scores.find(row_id);
float score = (it != all_scores.end()) ? it->second : 0.0F;
if (filter && !filter->pass(score)) {
continue;
}
if (score == 0.0F) {
zero_score_ids.push_back(row_id);
continue;
}
if (top_k_heap.size() < top_k) {
top_k_heap.emplace(row_id, score);
} else if (pair_comp({row_id, score}, top_k_heap.top())) {
top_k_heap.pop();
top_k_heap.emplace(row_id, score);
}
}
top_k_results.reserve(top_k);
while (!top_k_heap.empty()) {
top_k_results.push_back(top_k_heap.top());
top_k_heap.pop();
}
std::ranges::reverse(top_k_results);
if constexpr (order == OrderType::DESC) {
// DESC: high scores first, then zeros at the end
size_t remaining = top_k - top_k_results.size();
for (size_t i = 0; i < remaining && i < zero_score_ids.size(); ++i) {
top_k_results.emplace_back(zero_score_ids[i], 0.0F);
}
} else {
// ASC: zeros first, then low scores
std::vector<std::pair<uint32_t, float>> final_results;
final_results.reserve(top_k);
size_t zero_count = std::min(top_k, zero_score_ids.size());
for (size_t i = 0; i < zero_count; ++i) {
final_results.emplace_back(zero_score_ids[i], 0.0F);
}
size_t remaining = top_k - final_results.size();
for (size_t i = 0; i < remaining && i < top_k_results.size(); ++i) {
final_results.push_back(top_k_results[i]);
}
top_k_results = std::move(final_results);
}
}
#include "common/compile_check_end.h"
} // namespace doris