milvus-io
/
milvus
mirror of https://github.com/milvus-io/milvus.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity
milvus/core/unittest/db/test_db_mysql.cpp

282 lines
8.6 KiB
C++
Raw Blame History

// 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 "db/Constants.h"
#include "db/DB.h"
#include "db/DBImpl.h"
#include "db/meta/MetaConsts.h"
#include "db/utils.h"
#include <gtest/gtest.h>
#include <boost/filesystem.hpp>
#include <random>
#include <thread>
namespace {
static const char* TABLE_NAME = "test_group";
static constexpr int64_t TABLE_DIM = 256;
static constexpr int64_t VECTOR_COUNT = 25000;
static constexpr int64_t INSERT_LOOP = 1000;
milvus::engine::meta::TableSchema
BuildTableSchema() {
milvus::engine::meta::TableSchema table_info;
table_info.dimension_ = TABLE_DIM;
table_info.table_id_ = TABLE_NAME;
table_info.engine_type_ = (int)milvus::engine::EngineType::FAISS_IDMAP;
return table_info;
}
void
BuildVectors(int64_t n, std::vector<float>& vectors) {
vectors.clear();
vectors.resize(n * TABLE_DIM);
float* data = vectors.data();
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.;
}
}
} // namespace
TEST_F(MySqlDBTest, DB_TEST) {
milvus::engine::meta::TableSchema table_info = BuildTableSchema();
auto stat = db_->CreateTable(table_info);
milvus::engine::meta::TableSchema table_info_get;
table_info_get.table_id_ = TABLE_NAME;
stat = db_->DescribeTable(table_info_get);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(table_info_get.dimension_, TABLE_DIM);
milvus::engine::IDNumbers vector_ids;
milvus::engine::IDNumbers target_ids;
int64_t nb = 50;
std::vector<float> xb;
BuildVectors(nb, xb);
int64_t qb = 5;
std::vector<float> qxb;
BuildVectors(qb, qxb);
db_->InsertVectors(TABLE_NAME, qb, qxb.data(), target_ids);
ASSERT_EQ(target_ids.size(), qb);
std::thread search([&]() {
milvus::engine::QueryResults results;
int k = 10;
std::this_thread::sleep_for(std::chrono::seconds(5));
INIT_TIMER;
std::stringstream ss;
uint64_t count = 0;
uint64_t prev_count = 0;
for (auto j = 0; j < 10; ++j) {
ss.str("");
db_->Size(count);
prev_count = count;
START_TIMER;
stat = db_->Query(TABLE_NAME, k, qb, 10, qxb.data(), results);
ss << "Search " << j << " With Size " << count / milvus::engine::M << " M";
STOP_TIMER(ss.str());
ASSERT_TRUE(stat.ok());
for (auto k = 0; k < qb; ++k) {
// std::cout << results[k][0].first << " " << target_ids[k] << std::endl;
// ASSERT_EQ(results[k][0].first, target_ids[k]);
bool exists = false;
for (auto& result : results[k]) {
if (result.first == target_ids[k]) {
exists = true;
}
}
ASSERT_TRUE(exists);
ss.str("");
ss << "Result [" << k << "]:";
for (auto result : results[k]) {
ss << result.first << " ";
}
/* LOG(DEBUG) << ss.str(); */
}
ASSERT_TRUE(count >= prev_count);
std::this_thread::sleep_for(std::chrono::seconds(3));
}
std::cout << "All search done!" << std::endl;
});
int loop = INSERT_LOOP;
for (auto i = 0; i < loop; ++i) {
// if (i==10) {
// db_->InsertVectors(TABLE_NAME, qb, qxb.data(), target_ids);
// ASSERT_EQ(target_ids.size(), qb);
// } else {
// db_->InsertVectors(TABLE_NAME, nb, xb.data(), vector_ids);
// }
db_->InsertVectors(TABLE_NAME, nb, xb.data(), vector_ids);
std::this_thread::sleep_for(std::chrono::microseconds(1));
}
search.join();
}
TEST_F(MySqlDBTest, SEARCH_TEST) {
milvus::engine::meta::TableSchema table_info = BuildTableSchema();
auto stat = db_->CreateTable(table_info);
milvus::engine::meta::TableSchema table_info_get;
table_info_get.table_id_ = TABLE_NAME;
stat = db_->DescribeTable(table_info_get);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(table_info_get.dimension_, TABLE_DIM);
// prepare raw data
size_t nb = VECTOR_COUNT;
size_t nq = 10;
size_t k = 5;
std::vector<float> xb(nb * TABLE_DIM);
std::vector<float> xq(nq * TABLE_DIM);
std::vector<int64_t> 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 * TABLE_DIM; i++) {
xb[i] = dis_xt(gen);
if (i < nb) {
ids[i] = i;
}
}
for (size_t i = 0; i < nq * TABLE_DIM; i++) {
xq[i] = dis_xt(gen);
}
// result data
// std::vector<long> nns_gt(k*nq);
std::vector<int64_t> nns(k * nq); // nns = nearst neg search
// std::vector<float> dis_gt(k*nq);
std::vector<float> dis(k * nq);
// insert data
const int batch_size = 100;
for (int j = 0; j < nb / batch_size; ++j) {
stat = db_->InsertVectors(TABLE_NAME, batch_size, xb.data() + batch_size * j * TABLE_DIM, ids);
if (j == 200) {
sleep(1);
}
ASSERT_TRUE(stat.ok());
}
sleep(2); // wait until build index finish
milvus::engine::QueryResults results;
stat = db_->Query(TABLE_NAME, k, nq, 10, xq.data(), results);
ASSERT_TRUE(stat.ok());
}
TEST_F(MySqlDBTest, ARHIVE_DISK_CHECK) {
milvus::engine::meta::TableSchema table_info = BuildTableSchema();
auto stat = db_->CreateTable(table_info);
std::vector<milvus::engine::meta::TableSchema> table_schema_array;
stat = db_->AllTables(table_schema_array);
ASSERT_TRUE(stat.ok());
bool bfound = false;
for (auto& schema : table_schema_array) {
if (schema.table_id_ == TABLE_NAME) {
bfound = true;
break;
}
}
ASSERT_TRUE(bfound);
milvus::engine::meta::TableSchema table_info_get;
table_info_get.table_id_ = TABLE_NAME;
stat = db_->DescribeTable(table_info_get);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(table_info_get.dimension_, TABLE_DIM);
milvus::engine::IDNumbers vector_ids;
milvus::engine::IDNumbers target_ids;
uint64_t size;
db_->Size(size);
int64_t nb = 10;
std::vector<float> xb;
BuildVectors(nb, xb);
int loop = INSERT_LOOP;
for (auto i = 0; i < loop; ++i) {
db_->InsertVectors(TABLE_NAME, nb, xb.data(), 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_LE(size, 1 * milvus::engine::G);
}
TEST_F(MySqlDBTest, DELETE_TEST) {
milvus::engine::meta::TableSchema table_info = BuildTableSchema();
auto stat = db_->CreateTable(table_info);
// std::cout << stat.ToString() << std::endl;
milvus::engine::meta::TableSchema table_info_get;
table_info_get.table_id_ = TABLE_NAME;
stat = db_->DescribeTable(table_info_get);
ASSERT_TRUE(stat.ok());
bool has_table = false;
db_->HasTable(TABLE_NAME, has_table);
ASSERT_TRUE(has_table);
milvus::engine::IDNumbers vector_ids;
uint64_t size;
db_->Size(size);
int64_t nb = INSERT_LOOP;
std::vector<float> xb;
BuildVectors(nb, xb);
int loop = 20;
for (auto i = 0; i < loop; ++i) {
db_->InsertVectors(TABLE_NAME, nb, xb.data(), vector_ids);
std::this_thread::sleep_for(std::chrono::microseconds(1));
}
// std::vector<engine::meta::DateT> dates;
// stat = db_->DeleteTable(TABLE_NAME, dates);
//// std::cout << "5 sec start" << std::endl;
// std::this_thread::sleep_for(std::chrono::seconds(5));
//// std::cout << "5 sec finish" << std::endl;
// ASSERT_TRUE(stat.ok());
//
// db_->HasTable(TABLE_NAME, has_table);
// ASSERT_FALSE(has_table);
}
Reference in New Issue View Git Blame Copy Permalink