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* refactoring(create_table done) * refactoring * refactor server delivery (insert done) * refactoring server module (count_table done) * server refactor done * cmake pass * refactor server module done. * set grpc response status correctly * format done. * fix redefine ErrorMap() * optimize insert reducing ids data copy * optimize grpc request with reducing data copy * clang format * [skip ci] Refactor server module done. update changlog. prepare for PR * remove explicit and change int32_t to int64_t
182 lines
6.6 KiB
C++
182 lines
6.6 KiB
C++
// Licensed to the Apache Software Foundation (ASF) under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#include "server/delivery/request/SearchRequest.h"
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#include "server/DBWrapper.h"
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#include "utils/Log.h"
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#include "utils/TimeRecorder.h"
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#include "utils/ValidationUtil.h"
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#include <memory>
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#
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namespace milvus {
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namespace server {
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SearchRequest::SearchRequest(const std::shared_ptr<Context>& context, const std::string& table_name,
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int64_t record_size, const std::vector<float>& data_list,
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const std::vector<Range>& range_list, int64_t topk, int64_t nprobe,
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const std::vector<std::string>& partition_list,
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const std::vector<std::string>& file_id_list, TopKQueryResult& result)
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: BaseRequest(context, DQL_REQUEST_GROUP),
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table_name_(table_name),
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record_size_(record_size),
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data_list_(data_list),
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range_list_(range_list),
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topk_(topk),
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nprobe_(nprobe),
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partition_list_(partition_list),
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file_id_list_(file_id_list),
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result_(result) {
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}
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BaseRequestPtr
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SearchRequest::Create(const std::shared_ptr<Context>& context, const std::string& table_name, int64_t record_size,
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const std::vector<float>& data_list, const std::vector<Range>& range_list, int64_t topk,
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int64_t nprobe, const std::vector<std::string>& partition_list,
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const std::vector<std::string>& file_id_list, TopKQueryResult& result) {
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return std::shared_ptr<BaseRequest>(new SearchRequest(context, table_name, record_size, data_list, range_list, topk,
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nprobe, partition_list, file_id_list, result));
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}
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Status
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SearchRequest::OnExecute() {
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try {
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auto pre_query_ctx = context_->Child("Pre query");
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std::string hdr = "SearchRequest(table=" + table_name_ + ", nq=" + std::to_string(record_size_) +
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", k=" + std::to_string(topk_) + ", nprob=" + std::to_string(nprobe_) + ")";
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TimeRecorder rc(hdr);
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// step 1: check table name
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auto status = ValidationUtil::ValidateTableName(table_name_);
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if (!status.ok()) {
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return status;
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}
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// step 2: check table existence
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engine::meta::TableSchema table_info;
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table_info.table_id_ = table_name_;
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status = DBWrapper::DB()->DescribeTable(table_info);
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if (!status.ok()) {
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if (status.code() == DB_NOT_FOUND) {
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return Status(SERVER_TABLE_NOT_EXIST, TableNotExistMsg(table_name_));
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} else {
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return status;
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}
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}
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// step 3: check search parameter
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status = ValidationUtil::ValidateSearchTopk(topk_, table_info);
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if (!status.ok()) {
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return status;
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}
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status = ValidationUtil::ValidateSearchNprobe(nprobe_, table_info);
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if (!status.ok()) {
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return status;
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}
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if (data_list_.empty()) {
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return Status(SERVER_INVALID_ROWRECORD_ARRAY,
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"The vector array is empty. Make sure you have entered vector records.");
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}
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// step 4: check date range, and convert to db dates
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std::vector<DB_DATE> dates;
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status = ConvertTimeRangeToDBDates(range_list_, dates);
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if (!status.ok()) {
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return status;
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}
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rc.RecordSection("check validation");
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// step 5: check prepared float data
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if (data_list_.size() % record_size_ != 0) {
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return Status(SERVER_INVALID_ROWRECORD_ARRAY, "The vector dimension must be equal to the table dimension.");
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}
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if (data_list_.size() / record_size_ != table_info.dimension_) {
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return Status(SERVER_INVALID_VECTOR_DIMENSION,
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"The vector dimension must be equal to the table dimension.");
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}
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rc.RecordSection("prepare vector data");
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// step 6: search vectors
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engine::ResultIds result_ids;
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engine::ResultDistances result_distances;
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auto record_count = static_cast<uint64_t>(record_size_);
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#ifdef MILVUS_ENABLE_PROFILING
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std::string fname =
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"/tmp/search_nq_" + std::to_string(this->search_param_->query_record_array_size()) + ".profiling";
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ProfilerStart(fname.c_str());
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#endif
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pre_query_ctx->GetTraceContext()->GetSpan()->Finish();
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if (file_id_list_.empty()) {
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status = ValidationUtil::ValidatePartitionTags(partition_list_);
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if (!status.ok()) {
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return status;
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}
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status = DBWrapper::DB()->Query(context_, table_name_, partition_list_, (size_t)topk_, record_count,
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nprobe_, data_list_.data(), dates, result_ids, result_distances);
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} else {
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status = DBWrapper::DB()->QueryByFileID(context_, table_name_, file_id_list_, (size_t)topk_, record_count,
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nprobe_, data_list_.data(), dates, result_ids, result_distances);
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}
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#ifdef MILVUS_ENABLE_PROFILING
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ProfilerStop();
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#endif
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rc.RecordSection("search vectors from engine");
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if (!status.ok()) {
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return status;
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}
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if (result_ids.empty()) {
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return Status::OK(); // empty table
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}
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auto post_query_ctx = context_->Child("Constructing result");
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// step 7: construct result array
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result_.row_num_ = record_count;
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result_.distance_list_ = result_distances;
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result_.id_list_ = result_ids;
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post_query_ctx->GetTraceContext()->GetSpan()->Finish();
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// step 8: print time cost percent
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rc.RecordSection("construct result and send");
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rc.ElapseFromBegin("totally cost");
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} catch (std::exception& ex) {
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return Status(SERVER_UNEXPECTED_ERROR, ex.what());
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}
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return Status::OK();
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}
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} // namespace server
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} // namespace milvus
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