/** * Copyright 2022 AntGroup CO., Ltd. * * 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. */ #include "lgraph/olap_on_db.h" #include "tools/json.hpp" #include "./algo.h" using namespace lgraph_api; using namespace lgraph_api::olap; using json = nlohmann::json; extern "C" bool Process(GraphDB& db, const std::string& request, std::string& response) { auto start_time = get_time(); // prepare start_time = get_time(); std::string root_id = "0"; std::string label = "node"; std::string field = "id"; std::cout << "Input: " << request << std::endl; try { json input = json::parse(request); parse_from_json(root_id, "root_id", input); parse_from_json(label, "label", input); parse_from_json(field, "field", input); } catch (std::exception& e) { response = "json parse error: " + std::string(e.what()); std::cout << response << std::endl; return false; } auto txn = db.CreateReadTxn(); int64_t root_vid = txn.GetVertexIndexIterator(label, field, root_id, root_id).GetVid(); OlapOnDB olapondb(db, txn, SNAPSHOT_PARALLEL); auto prepare_cost = get_time() - start_time; // core start_time = get_time(); ParallelVector parent = olapondb.AllocVertexArray(); size_t count = BFSCore(olapondb, root_vid, parent); auto core_cost = get_time() - start_time; // output start_time = get_time(); // TODO(any): write parent back to graph printf("found_vertices = %ld\n", count); auto output_cost = get_time() - start_time; // return { json output; output["found_vertices"] = count; output["num_vertices"] = olapondb.NumVertices(); output["num_edges"] = olapondb.NumEdges(); output["prepare_cost"] = prepare_cost; output["core_cost"] = core_cost; output["output_cost"] = output_cost; output["total_cost"] = prepare_cost + core_cost + output_cost; response = output.dump(); } return true; }