#include "gtest/gtest.h" #include "db/VectorSource.h" #include "db/MemTableFile.h" #include "db/MemTable.h" #include "utils.h" #include "db/Factories.h" #include "db/Constants.h" #include "db/EngineFactory.h" #include "metrics/Metrics.h" #include #include #include using namespace zilliz::milvus; namespace { static const std::string TABLE_NAME = "test_group"; static constexpr int64_t TABLE_DIM = 256; static constexpr int64_t VECTOR_COUNT = 250000; static constexpr int64_t INSERT_LOOP = 10000; engine::meta::TableSchema BuildTableSchema() { engine::meta::TableSchema table_info; table_info.dimension_ = TABLE_DIM; table_info.table_id_ = TABLE_NAME; table_info.engine_type_ = (int)engine::EngineType::FAISS_IDMAP; return table_info; } void BuildVectors(int64_t n, std::vector& vectors) { vectors.clear(); vectors.resize(n*TABLE_DIM); float* data = vectors.data(); // std::random_device rd; // std::mt19937 gen(rd()); // std::uniform_real_distribution<> dis(0.0, 1.0); for(int i = 0; i < n; i++) { for(int j = 0; j < TABLE_DIM; j++) data[TABLE_DIM * i + j] = drand48(); data[TABLE_DIM * i] += i / 2000.; } } } TEST(MEM_TEST, VECTOR_SOURCE_TEST) { std::shared_ptr impl_ = engine::DBMetaImplFactory::Build(); engine::meta::TableSchema table_schema = BuildTableSchema(); auto status = impl_->CreateTable(table_schema); ASSERT_TRUE(status.ok()); engine::meta::TableFileSchema table_file_schema; table_file_schema.table_id_ = TABLE_NAME; status = impl_->CreateTableFile(table_file_schema); ASSERT_TRUE(status.ok()); int64_t n = 100; std::vector vectors; BuildVectors(n, vectors); engine::VectorSource source(n, vectors.data()); size_t num_vectors_added; engine::ExecutionEnginePtr execution_engine_ = engine::EngineFactory::Build(table_file_schema.dimension_, table_file_schema.location_, (engine::EngineType)table_file_schema.engine_type_); status = source.Add(execution_engine_, table_file_schema, 50, num_vectors_added); ASSERT_TRUE(status.ok()); ASSERT_EQ(num_vectors_added, 50); engine::IDNumbers vector_ids = source.GetVectorIds(); ASSERT_EQ(vector_ids.size(), 50); status = source.Add(execution_engine_, table_file_schema, 60, num_vectors_added); ASSERT_TRUE(status.ok()); ASSERT_EQ(num_vectors_added, 50); vector_ids = source.GetVectorIds(); ASSERT_EQ(vector_ids.size(), 100); // for (auto& id : vector_ids) { // std::cout << id << std::endl; // } status = impl_->DropAll(); ASSERT_TRUE(status.ok()); } TEST(MEM_TEST, MEM_TABLE_FILE_TEST) { std::shared_ptr impl_ = engine::DBMetaImplFactory::Build(); auto options = engine::OptionsFactory::Build(); engine::meta::TableSchema table_schema = BuildTableSchema(); auto status = impl_->CreateTable(table_schema); ASSERT_TRUE(status.ok()); engine::MemTableFile memTableFile(TABLE_NAME, impl_, options); int64_t n_100 = 100; std::vector vectors_100; BuildVectors(n_100, vectors_100); engine::VectorSource::Ptr source = std::make_shared(n_100, vectors_100.data()); status = memTableFile.Add(source); ASSERT_TRUE(status.ok()); // std::cout << memTableFile.GetCurrentMem() << " " << memTableFile.GetMemLeft() << std::endl; engine::IDNumbers vector_ids = source->GetVectorIds(); ASSERT_EQ(vector_ids.size(), 100); size_t singleVectorMem = sizeof(float) * TABLE_DIM; ASSERT_EQ(memTableFile.GetCurrentMem(), n_100 * singleVectorMem); int64_t n_max = engine::MAX_TABLE_FILE_MEM / singleVectorMem; std::vector vectors_128M; BuildVectors(n_max, vectors_128M); engine::VectorSource::Ptr source_128M = std::make_shared(n_max, vectors_128M.data()); status = memTableFile.Add(source_128M); vector_ids = source_128M->GetVectorIds(); ASSERT_EQ(vector_ids.size(), n_max - n_100); ASSERT_TRUE(memTableFile.IsFull()); status = impl_->DropAll(); ASSERT_TRUE(status.ok()); } TEST(MEM_TEST, MEM_TABLE_TEST) { std::shared_ptr impl_ = engine::DBMetaImplFactory::Build(); auto options = engine::OptionsFactory::Build(); engine::meta::TableSchema table_schema = BuildTableSchema(); auto status = impl_->CreateTable(table_schema); ASSERT_TRUE(status.ok()); int64_t n_100 = 100; std::vector vectors_100; BuildVectors(n_100, vectors_100); engine::VectorSource::Ptr source_100 = std::make_shared(n_100, vectors_100.data()); engine::MemTable memTable(TABLE_NAME, impl_, options); status = memTable.Add(source_100); ASSERT_TRUE(status.ok()); engine::IDNumbers vector_ids = source_100->GetVectorIds(); ASSERT_EQ(vector_ids.size(), 100); engine::MemTableFile::Ptr memTableFile; memTable.GetCurrentMemTableFile(memTableFile); size_t singleVectorMem = sizeof(float) * TABLE_DIM; ASSERT_EQ(memTableFile->GetCurrentMem(), n_100 * singleVectorMem); int64_t n_max = engine::MAX_TABLE_FILE_MEM / singleVectorMem; std::vector vectors_128M; BuildVectors(n_max, vectors_128M); engine::VectorSource::Ptr source_128M = std::make_shared(n_max, vectors_128M.data()); status = memTable.Add(source_128M); ASSERT_TRUE(status.ok()); vector_ids = source_128M->GetVectorIds(); ASSERT_EQ(vector_ids.size(), n_max); memTable.GetCurrentMemTableFile(memTableFile); ASSERT_EQ(memTableFile->GetCurrentMem(), n_100 * singleVectorMem); ASSERT_EQ(memTable.GetTableFileCount(), 2); int64_t n_1G = 1024000; std::vector vectors_1G; BuildVectors(n_1G, vectors_1G); engine::VectorSource::Ptr source_1G = std::make_shared(n_1G, vectors_1G.data()); status = memTable.Add(source_1G); ASSERT_TRUE(status.ok()); vector_ids = source_1G->GetVectorIds(); ASSERT_EQ(vector_ids.size(), n_1G); int expectedTableFileCount = 2 + std::ceil((n_1G - n_100) * singleVectorMem / engine::MAX_TABLE_FILE_MEM); ASSERT_EQ(memTable.GetTableFileCount(), expectedTableFileCount); status = memTable.Serialize(); ASSERT_TRUE(status.ok()); status = impl_->DropAll(); ASSERT_TRUE(status.ok()); } TEST(MEM_TEST, MEM_MANAGER_TEST) { auto options = engine::OptionsFactory::Build(); options.meta.path = "/tmp/milvus_test"; options.meta.backend_uri = "sqlite://:@:/"; auto db_ = engine::DBFactory::Build(options); engine::meta::TableSchema table_info = BuildTableSchema(); engine::Status stat = db_->CreateTable(table_info); engine::meta::TableSchema table_info_get; table_info_get.table_id_ = TABLE_NAME; stat = db_->DescribeTable(table_info_get); ASSERT_STATS(stat); ASSERT_EQ(table_info_get.dimension_, TABLE_DIM); std::map> search_vectors; // std::map> vectors_ids_map; { engine::IDNumbers vector_ids; int64_t nb = 1024000; std::vector xb; BuildVectors(nb, xb); engine::Status status = db_->InsertVectors(TABLE_NAME, nb, xb.data(), vector_ids); ASSERT_TRUE(status.ok()); // std::ofstream myfile("mem_test.txt"); // for (int64_t i = 0; i < nb; ++i) { // int64_t vector_id = vector_ids[i]; // std::vector vectors; // for (int64_t j = 0; j < TABLE_DIM; j++) { // vectors.emplace_back(xb[i*TABLE_DIM + j]); //// std::cout << xb[i*TABLE_DIM + j] << std::endl; // } // vectors_ids_map[vector_id] = vectors; // } std::this_thread::sleep_for(std::chrono::seconds(3)); std::random_device rd; std::mt19937 gen(rd()); std::uniform_int_distribution dis(0, nb - 1); int64_t numQuery = 1000; for (int64_t i = 0; i < numQuery; ++i) { int64_t index = dis(gen); std::vector search; for (int64_t j = 0; j < TABLE_DIM; j++) { search.push_back(xb[index * TABLE_DIM + j]); } search_vectors.insert(std::make_pair(vector_ids[index], search)); // std::cout << "index: " << index << " vector_ids[index]: " << vector_ids[index] << std::endl; } // for (int64_t i = 0; i < nb; i += 100000) { // std::vector search; // for (int64_t j = 0; j < TABLE_DIM; j++) { // search.push_back(xb[i * TABLE_DIM + j]); // } // search_vectors.insert(std::make_pair(vector_ids[i], search)); // } } int k = 10; for(auto& pair : search_vectors) { auto& search = pair.second; engine::QueryResults results; stat = db_->Query(TABLE_NAME, k, 1, search.data(), results); for(int t = 0; t < k; t++) { // std::cout << "ID=" << results[0][t].first << " DISTANCE=" << results[0][t].second << std::endl; // std::cout << vectors_ids_map[results[0][t].first].size() << std::endl; // for (auto& data : vectors_ids_map[results[0][t].first]) { // std::cout << data << " "; // } // std::cout << std::endl; } // std::cout << "results[0][0].first: " << results[0][0].first << " pair.first: " << pair.first << " results[0][0].second: " << results[0][0].second << std::endl; ASSERT_EQ(results[0][0].first, pair.first); ASSERT_LT(results[0][0].second, 0.00001); } stat = db_->DropAll(); ASSERT_TRUE(stat.ok()); } TEST(MEM_TEST, INSERT_TEST) { auto options = engine::OptionsFactory::Build(); options.meta.path = "/tmp/milvus_test"; options.meta.backend_uri = "sqlite://:@:/"; auto db_ = engine::DBFactory::Build(options); engine::meta::TableSchema table_info = BuildTableSchema(); engine::Status stat = db_->CreateTable(table_info); engine::meta::TableSchema table_info_get; table_info_get.table_id_ = TABLE_NAME; stat = db_->DescribeTable(table_info_get); ASSERT_STATS(stat); ASSERT_EQ(table_info_get.dimension_, TABLE_DIM); auto start_time = METRICS_NOW_TIME; int insert_loop = 1000; for (int i = 0; i < insert_loop; ++i) { int64_t nb = 204800; std::vector xb; BuildVectors(nb, xb); engine::IDNumbers vector_ids; engine::Status status = db_->InsertVectors(TABLE_NAME, nb, xb.data(), vector_ids); ASSERT_TRUE(status.ok()); } auto end_time = METRICS_NOW_TIME; auto total_time = METRICS_MICROSECONDS(start_time, end_time); std::cout << "total_time(ms) : " << total_time << std::endl; stat = db_->DropAll(); ASSERT_TRUE(stat.ok()); }