//////////////////////////////////////////////////////////////////////////////// // Copyright 上海赜睿信息科技有限公司(Zilliz) - All Rights Reserved // Unauthorized copying of this file, via any medium is strictly prohibited. // Proprietary and confidential. //////////////////////////////////////////////////////////////////////////////// #include #include #include #include "utils.h" #include "db/DB.h" #include "db/DBImpl.h" #include "db/MetaConsts.h" using namespace zilliz::vecwise; TEST_F(DBTest, CONFIG_TEST) { { ASSERT_ANY_THROW(engine::ArchiveConf conf("wrong")); /* EXPECT_DEATH(engine::ArchiveConf conf("wrong"), ""); */ } { engine::ArchiveConf conf("delete"); ASSERT_EQ(conf.GetType(), "delete"); auto criterias = conf.GetCriterias(); ASSERT_TRUE(criterias.size() == 1); ASSERT_TRUE(criterias["disk"] == 512); } { engine::ArchiveConf conf("swap"); ASSERT_EQ(conf.GetType(), "swap"); auto criterias = conf.GetCriterias(); ASSERT_TRUE(criterias.size() == 1); ASSERT_TRUE(criterias["disk"] == 512); } { ASSERT_ANY_THROW(engine::ArchiveConf conf1("swap", "disk:")); ASSERT_ANY_THROW(engine::ArchiveConf conf2("swap", "disk:a")); engine::ArchiveConf conf("swap", "disk:1024"); auto criterias = conf.GetCriterias(); ASSERT_TRUE(criterias.size() == 1); ASSERT_TRUE(criterias["disk"] == 1024); } { ASSERT_ANY_THROW(engine::ArchiveConf conf1("swap", "days:")); ASSERT_ANY_THROW(engine::ArchiveConf conf2("swap", "days:a")); engine::ArchiveConf conf("swap", "days:100"); auto criterias = conf.GetCriterias(); ASSERT_TRUE(criterias.size() == 1); ASSERT_TRUE(criterias["days"] == 100); } { ASSERT_ANY_THROW(engine::ArchiveConf conf1("swap", "days:")); ASSERT_ANY_THROW(engine::ArchiveConf conf2("swap", "days:a")); engine::ArchiveConf conf("swap", "days:100;disk:200"); auto criterias = conf.GetCriterias(); ASSERT_TRUE(criterias.size() == 2); ASSERT_TRUE(criterias["days"] == 100); ASSERT_TRUE(criterias["disk"] == 200); } } TEST_F(DBTest2, ARHIVE_DISK_CHECK) { static const std::string group_name = "test_group"; static const int group_dim = 256; long size; engine::meta::TableSchema group_info; group_info.dimension = group_dim; group_info.table_id = group_name; engine::Status stat = db_->add_group(group_info); engine::meta::TableSchema group_info_get; group_info_get.table_id = group_name; stat = db_->get_group(group_info_get); ASSERT_STATS(stat); ASSERT_EQ(group_info_get.dimension, group_dim); engine::IDNumbers vector_ids; engine::IDNumbers target_ids; db_->size(size); int d = 256; int nb = 20; float *xb = new float[d * nb]; for(int i = 0; i < nb; i++) { for(int j = 0; j < d; j++) xb[d * i + j] = drand48(); xb[d * i] += i / 2000.; } int loop = 100000; for (auto i=0; iadd_vectors(group_name, nb, xb, vector_ids); std::this_thread::sleep_for(std::chrono::microseconds(1)); } std::this_thread::sleep_for(std::chrono::seconds(1)); db_->size(size); LOG(DEBUG) << "size=" << size; ASSERT_TRUE(size < 1 * engine::meta::G); delete [] xb; }; TEST_F(DBTest, DB_TEST) { static const std::string group_name = "test_group"; static const int group_dim = 256; engine::meta::TableSchema group_info; group_info.dimension = group_dim; group_info.table_id = group_name; engine::Status stat = db_->add_group(group_info); engine::meta::TableSchema group_info_get; group_info_get.table_id = group_name; stat = db_->get_group(group_info_get); ASSERT_STATS(stat); ASSERT_EQ(group_info_get.dimension, group_dim); engine::IDNumbers vector_ids; engine::IDNumbers target_ids; int d = 256; int nb = 50; float *xb = new float[d * nb]; for(int i = 0; i < nb; i++) { for(int j = 0; j < d; j++) xb[d * i + j] = drand48(); xb[d * i] += i / 2000.; } int qb = 5; float *qxb = new float[d * qb]; for(int i = 0; i < qb; i++) { for(int j = 0; j < d; j++) qxb[d * i + j] = drand48(); qxb[d * i] += i / 2000.; } std::thread search([&]() { engine::QueryResults results; int k = 10; std::this_thread::sleep_for(std::chrono::seconds(2)); INIT_TIMER; std::stringstream ss; long count = 0; long prev_count = -1; for (auto j=0; j<10; ++j) { ss.str(""); db_->size(count); prev_count = count; START_TIMER; stat = db_->search(group_name, k, qb, qxb, results); ss << "Search " << j << " With Size " << count/engine::meta::M << " M"; STOP_TIMER(ss.str()); ASSERT_STATS(stat); for (auto k=0; k= prev_count); std::this_thread::sleep_for(std::chrono::seconds(1)); } }); int loop = 100000; for (auto i=0; iadd_vectors(group_name, qb, qxb, target_ids); ASSERT_EQ(target_ids.size(), qb); } else { db_->add_vectors(group_name, nb, xb, vector_ids); } std::this_thread::sleep_for(std::chrono::microseconds(1)); } search.join(); delete [] xb; delete [] qxb; }; TEST_F(DBTest, SEARCH_TEST) { static const std::string group_name = "test_group"; static const int group_dim = 256; engine::meta::TableSchema group_info; group_info.dimension = group_dim; group_info.table_id = group_name; engine::Status stat = db_->add_group(group_info); engine::meta::TableSchema group_info_get; group_info_get.table_id = group_name; stat = db_->get_group(group_info_get); ASSERT_STATS(stat); ASSERT_EQ(group_info_get.dimension, group_dim); // prepare raw data size_t nb = 250000; size_t nq = 10; size_t k = 5; std::vector xb(nb*group_dim); std::vector xq(nq*group_dim); std::vector ids(nb); std::random_device rd; std::mt19937 gen(rd()); std::uniform_real_distribution<> dis_xt(-1.0, 1.0); for (size_t i = 0; i < nb*group_dim; i++) { xb[i] = dis_xt(gen); if (i < nb){ ids[i] = i; } } for (size_t i = 0; i < nq*group_dim; i++) { xq[i] = dis_xt(gen); } // result data //std::vector nns_gt(k*nq); std::vector nns(k*nq); // nns = nearst neg search //std::vector dis_gt(k*nq); std::vector dis(k*nq); // insert data const int batch_size = 100; for (int j = 0; j < nb / batch_size; ++j) { stat = db_->add_vectors(group_name, batch_size, xb.data()+batch_size*j*group_dim, ids); if (j == 200){ sleep(1);} ASSERT_STATS(stat); } sleep(2); // wait until build index finish engine::QueryResults results; stat = db_->search(group_name, k, nq, xq.data(), results); ASSERT_STATS(stat); // TODO(linxj): add groundTruth assert };