| // 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/index/inverted/query/conjunction_query.h" |
| |
| #include "storage/index/inverted/query/query_helper.h" |
| #include "storage/index/inverted/similarity/collection_statistics.h" |
| #include "storage/index/inverted/util/mock_iterator.h" |
| #include "storage/index/inverted/util/string_helper.h" |
| |
| namespace doris::segment_v2 { |
| |
| ConjunctionQuery::ConjunctionQuery(SearcherPtr searcher, IndexQueryContextPtr context) |
| : _searcher(std::move(searcher)), |
| _context(std::move(context)), |
| _term_query(_searcher, _context) { |
| _index_version = _searcher->getReader()->getIndexVersion(); |
| _conjunction_ratio = |
| _context->runtime_state->query_options().inverted_index_conjunction_opt_threshold; |
| } |
| |
| void ConjunctionQuery::add(const InvertedIndexQueryInfo& query_info) { |
| if (query_info.term_infos.empty()) { |
| throw Exception(ErrorCode::INVALID_ARGUMENT, "term_infos cannot be empty"); |
| } |
| |
| if (query_info.term_infos.size() == 1) { |
| _term_query.add(query_info); |
| return; |
| } |
| |
| bool is_similarity = _context->collection_similarity && query_info.is_similarity_score; |
| |
| for (const auto& term_info : query_info.term_infos) { |
| if (term_info.is_multi_terms()) { |
| throw Exception(ErrorCode::NOT_IMPLEMENTED_ERROR, "Not supported yet."); |
| } |
| |
| if (query_info.use_mock_iter) { |
| auto iter = std::make_shared<MockIterator>(); |
| iter->set_postings({{0, {0}}, {1, {0}}, {3, {0}}, {5, {0}}}); |
| _iterators.emplace_back(iter); |
| } else { |
| auto iter = |
| TermIterator::create(_context->io_ctx, is_similarity, _searcher->getReader(), |
| query_info.field_name, term_info.get_single_term()); |
| _iterators.emplace_back(std::move(iter)); |
| } |
| } |
| |
| std::sort(_iterators.begin(), _iterators.end(), [](const TermIterPtr& a, const TermIterPtr& b) { |
| return a->doc_freq() < b->doc_freq(); |
| }); |
| |
| if (_iterators.size() == 1) { |
| _lead1 = _iterators[0]; |
| } else { |
| _lead1 = _iterators[0]; |
| _lead2 = _iterators[1]; |
| for (size_t i = 2; i < _iterators.size(); i++) { |
| _others.emplace_back(_iterators[i]); |
| } |
| } |
| |
| if (is_similarity) { |
| _use_skip = true; |
| for (const auto& iter : _iterators) { |
| auto similarity = std::make_unique<BM25Similarity>(); |
| similarity->for_one_term(_context, query_info.field_name, iter->term()); |
| _similarities.emplace_back(std::move(similarity)); |
| } |
| } else { |
| if (_index_version == IndexVersion::kV1 && _iterators.size() >= 2) { |
| int32_t little = _iterators[0]->doc_freq(); |
| int32_t big = _iterators[_iterators.size() - 1]->doc_freq(); |
| if (little == 0 || (big / little) > _conjunction_ratio) { |
| _use_skip = true; |
| } |
| } |
| } |
| } |
| |
| void ConjunctionQuery::search(roaring::Roaring& roaring) { |
| if (_lead1 == nullptr) { |
| _term_query.search(roaring); |
| return; |
| } |
| |
| if (!_use_skip) { |
| search_by_bitmap(roaring); |
| return; |
| } |
| |
| search_by_skiplist(roaring); |
| } |
| |
| void ConjunctionQuery::search_by_bitmap(roaring::Roaring& roaring) { |
| // can get a term of all doc_id |
| auto func = [&roaring](const TermIterPtr& iter, bool first) { |
| roaring::Roaring result; |
| DocRange doc_range; |
| while (iter->read_range(&doc_range)) { |
| if (doc_range.type_ == DocRangeType::kMany) { |
| result.addMany(doc_range.doc_many_size_, doc_range.doc_many->data()); |
| } else { |
| result.addRange(doc_range.doc_range.first, doc_range.doc_range.second); |
| } |
| } |
| if (first) { |
| roaring.swap(result); |
| } else { |
| roaring &= result; |
| } |
| }; |
| |
| for (size_t i = 0; i < _iterators.size(); i++) { |
| func(_iterators[i], i == 0); |
| } |
| } |
| |
| void ConjunctionQuery::search_by_skiplist(roaring::Roaring& roaring) { |
| int32_t doc = 0; |
| while ((doc = do_next(_lead1->next_doc())) != INT32_MAX) { |
| roaring.add(doc); |
| |
| if (!_similarities.empty()) { |
| QueryHelper::collect(_context, _similarities, _iterators, doc); |
| } |
| } |
| } |
| |
| int32_t ConjunctionQuery::do_next(int32_t doc) { |
| while (true) { |
| assert(doc == _lead1->doc_id()); |
| |
| // the skip list is used to find the two smallest inverted lists |
| int32_t next2 = _lead2->advance(doc); |
| if (next2 != doc) { |
| doc = _lead1->advance(next2); |
| if (next2 != doc) { |
| continue; |
| } |
| } |
| |
| // if both lead1 and lead2 exist, use skip list to lookup other inverted indexes |
| bool advance_head = false; |
| for (auto& other : _others) { |
| if (other == nullptr) { |
| continue; |
| } |
| |
| if (other->doc_id() < doc) { |
| int32_t next = other->advance(doc); |
| if (next > doc) { |
| doc = _lead1->advance(next); |
| advance_head = true; |
| break; |
| } |
| } |
| } |
| if (advance_head) { |
| continue; |
| } |
| |
| return doc; |
| } |
| } |
| |
| } // namespace doris::segment_v2 |