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milvus/core/unittest/db/test_db.cpp

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// 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 <gtest/gtest.h>
#include <fiu-control.h>
#include <fiu-local.h>
#include <boost/filesystem.hpp>
#include <random>
#include <thread>
#include "cache/CpuCacheMgr.h"
#include "db/Constants.h"
#include "db/DB.h"
#include "db/DBFactory.h"
#include "db/DBImpl.h"
#include "db/meta/MetaConsts.h"
#include "db/utils.h"
#include "server/Config.h"
#include "utils/CommonUtil.h"
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;
static constexpr int64_t SECONDS_EACH_HOUR = 3600;
static constexpr int64_t DAY_SECONDS = 24 * 60 * 60;
milvus::engine::meta::TableSchema
BuildTableSchema() {
milvus::engine::meta::TableSchema table_info;
table_info.dimension_ = TABLE_DIM;
table_info.table_id_ = TABLE_NAME;
return table_info;
}
void
BuildVectors(uint64_t n, milvus::engine::VectorsData& vectors) {
vectors.vector_count_ = n;
vectors.float_data_.clear();
vectors.float_data_.resize(n * TABLE_DIM);
float* data = vectors.float_data_.data();
for (uint64_t i = 0; i < n; i++) {
for (int64_t j = 0; j < TABLE_DIM; j++) data[TABLE_DIM * i + j] = drand48();
data[TABLE_DIM * i] += i / 2000.;
}
}
std::string
CurrentTmDate(int64_t offset_day = 0) {
time_t tt;
time(&tt);
tt = tt + 8 * SECONDS_EACH_HOUR;
tt = tt + 24 * SECONDS_EACH_HOUR * offset_day;
tm t;
gmtime_r(&tt, &t);
std::string str =
std::to_string(t.tm_year + 1900) + "-" + std::to_string(t.tm_mon + 1) + "-" + std::to_string(t.tm_mday);
return str;
}
void
ConvertTimeRangeToDBDates(const std::string& start_value, const std::string& end_value,
std::vector<milvus::engine::meta::DateT>& dates) {
dates.clear();
time_t tt_start, tt_end;
tm tm_start, tm_end;
if (!milvus::server::CommonUtil::TimeStrToTime(start_value, tt_start, tm_start)) {
return;
}
if (!milvus::server::CommonUtil::TimeStrToTime(end_value, tt_end, tm_end)) {
return;
}
int64_t days = (tt_end > tt_start) ? (tt_end - tt_start) / DAY_SECONDS : (tt_start - tt_end) / DAY_SECONDS;
if (days == 0) {
return;
}
for (int64_t i = 0; i < days; i++) {
time_t tt_day = tt_start + DAY_SECONDS * i;
tm tm_day;
milvus::server::CommonUtil::ConvertTime(tt_day, tm_day);
int64_t date = tm_day.tm_year * 10000 + tm_day.tm_mon * 100 + tm_day.tm_mday; // according to db logic
dates.push_back(date);
}
}
} // namespace
TEST_F(DBTest, CONFIG_TEST) {
{
ASSERT_ANY_THROW(milvus::engine::ArchiveConf conf("wrong"));
/* EXPECT_DEATH(engine::ArchiveConf conf("wrong"), ""); */
}
{
milvus::engine::ArchiveConf conf("delete");
ASSERT_EQ(conf.GetType(), "delete");
auto criterias = conf.GetCriterias();
ASSERT_EQ(criterias.size(), 0);
}
{
milvus::engine::ArchiveConf conf("swap");
ASSERT_EQ(conf.GetType(), "swap");
auto criterias = conf.GetCriterias();
ASSERT_EQ(criterias.size(), 0);
}
{
fiu_init(0);
fiu_enable("ArchiveConf.ParseCritirias.OptionsParseCritiriasOutOfRange", 1, NULL, 0);
ASSERT_ANY_THROW(milvus::engine::ArchiveConf conf("swap", "disk:"));
fiu_disable("ArchiveConf.ParseCritirias.OptionsParseCritiriasOutOfRange");
}
{
fiu_enable("ArchiveConf.ParseCritirias.empty_tokens", 1, NULL, 0);
milvus::engine::ArchiveConf conf("swap", "");
ASSERT_TRUE(conf.GetCriterias().empty());
fiu_disable("ArchiveConf.ParseCritirias.empty_tokens");
}
{
ASSERT_ANY_THROW(milvus::engine::ArchiveConf conf1("swap", "disk:"));
ASSERT_ANY_THROW(milvus::engine::ArchiveConf conf2("swap", "disk:a"));
milvus::engine::ArchiveConf conf("swap", "disk:1024");
auto criterias = conf.GetCriterias();
ASSERT_EQ(criterias.size(), 1);
ASSERT_EQ(criterias["disk"], 1024);
}
{
ASSERT_ANY_THROW(milvus::engine::ArchiveConf conf1("swap", "days:"));
ASSERT_ANY_THROW(milvus::engine::ArchiveConf conf2("swap", "days:a"));
milvus::engine::ArchiveConf conf("swap", "days:100");
auto criterias = conf.GetCriterias();
ASSERT_EQ(criterias.size(), 1);
ASSERT_EQ(criterias["days"], 100);
}
{
ASSERT_ANY_THROW(milvus::engine::ArchiveConf conf1("swap", "days:"));
ASSERT_ANY_THROW(milvus::engine::ArchiveConf conf2("swap", "days:a"));
milvus::engine::ArchiveConf conf("swap", "days:100;disk:200");
auto criterias = conf.GetCriterias();
ASSERT_EQ(criterias.size(), 2);
ASSERT_EQ(criterias["days"], 100);
ASSERT_EQ(criterias["disk"], 200);
}
}
TEST_F(DBTest, 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);
uint64_t nb = 50;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
uint64_t qb = 5;
milvus::engine::VectorsData qxb;
BuildVectors(qb, qxb);
std::thread search([&]() {
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_distances;
int k = 10;
std::this_thread::sleep_for(std::chrono::seconds(2));
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;
std::vector<std::string> tags;
stat = db_->Query(dummy_context_, TABLE_NAME, tags, k, 10, qxb, result_ids, result_distances);
ss << "Search " << j << " With Size " << count / milvus::engine::M << " M";
STOP_TIMER(ss.str());
ASSERT_TRUE(stat.ok());
for (auto i = 0; i < qb; ++i) {
ss.str("");
ss << "Result [" << i << "]:";
for (auto t = 0; t < k; t++) {
ss << result_ids[i * k + t] << " ";
}
/* LOG(DEBUG) << ss.str(); */
}
ASSERT_TRUE(count >= prev_count);
std::this_thread::sleep_for(std::chrono::seconds(1));
}
});
int loop = INSERT_LOOP;
for (auto i = 0; i < loop; ++i) {
if (i == 40) {
qxb.id_array_.clear();
db_->InsertVectors(TABLE_NAME, "", qxb);
ASSERT_EQ(qxb.id_array_.size(), qb);
} else {
xb.id_array_.clear();
db_->InsertVectors(TABLE_NAME, "", xb);
ASSERT_EQ(xb.id_array_.size(), nb);
}
std::this_thread::sleep_for(std::chrono::microseconds(1));
}
search.join();
uint64_t count;
stat = db_->GetTableRowCount(TABLE_NAME, count);
ASSERT_TRUE(stat.ok());
ASSERT_GT(count, 0);
// test invalid build db
{
auto options = GetOptions();
options.meta_.backend_uri_ = "dummy";
ASSERT_ANY_THROW(milvus::engine::DBFactory::Build(options));
options.meta_.backend_uri_ = "mysql://root:123456@127.0.0.1:3306/test";
ASSERT_ANY_THROW(milvus::engine::DBFactory::Build(options));
options.meta_.backend_uri_ = "dummy://root:123456@127.0.0.1:3306/test";
ASSERT_ANY_THROW(milvus::engine::DBFactory::Build(options));
}
}
TEST_F(DBTest, SEARCH_TEST) {
milvus::scheduler::OptimizerInst::GetInstance()->Init();
std::string config_path(CONFIG_PATH);
config_path += CONFIG_FILE;
milvus::server::Config& config = milvus::server::Config::GetInstance();
milvus::Status s = config.LoadConfigFile(config_path);
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;
milvus::engine::VectorsData xb, xq;
xb.vector_count_ = nb;
xb.float_data_.resize(nb * TABLE_DIM);
xq.vector_count_ = nq;
xq.float_data_.resize(nq * TABLE_DIM);
xb.id_array_.resize(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.float_data_[i] = dis_xt(gen);
if (i < nb) {
xb.id_array_[i] = i;
}
}
for (size_t i = 0; i < nq * TABLE_DIM; i++) {
xq.float_data_[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
stat = db_->InsertVectors(TABLE_NAME, "", xb);
ASSERT_TRUE(stat.ok());
milvus::engine::TableIndex index;
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IDMAP;
db_->CreateIndex(TABLE_NAME, index); // wait until build index finish
{
std::vector<std::string> tags;
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_distances;
stat = db_->Query(dummy_context_, TABLE_NAME, tags, k, 10, xq, result_ids, result_distances);
ASSERT_TRUE(stat.ok());
}
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFFLAT;
db_->CreateIndex(TABLE_NAME, index); // wait until build index finish
{
std::vector<std::string> tags;
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_distances;
stat = db_->Query(dummy_context_, TABLE_NAME, tags, k, 10, xq, result_ids, result_distances);
ASSERT_TRUE(stat.ok());
}
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8;
db_->CreateIndex(TABLE_NAME, index); // wait until build index finish
{
std::vector<std::string> tags;
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_distances;
stat = db_->Query(dummy_context_, TABLE_NAME, tags, k, 10, xq, result_ids, result_distances);
ASSERT_TRUE(stat.ok());
}
#ifdef CUSTOMIZATION
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8H;
db_->CreateIndex(TABLE_NAME, index); // wait until build index finish
{
std::vector<std::string> tags;
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_distances;
stat = db_->Query(dummy_context_, TABLE_NAME, tags, k, 10, xq, result_ids, result_distances);
ASSERT_TRUE(stat.ok());
}
#endif
{ // search by specify index file
milvus::engine::meta::DatesT dates;
std::vector<std::string> file_ids;
// sometimes this case run fast to merge file and build index, old file will be deleted immediately,
// so the QueryByFileID cannot get files to search
// input 100 files ids to avoid random failure of this case
for (int i = 0; i < 100; i++) {
file_ids.push_back(std::to_string(i));
}
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_distances;
stat = db_->QueryByFileID(dummy_context_, TABLE_NAME, file_ids, k, 10, xq, dates, result_ids,
result_distances);
ASSERT_TRUE(stat.ok());
FIU_ENABLE_FIU("SqliteMetaImpl.FilesToSearch.throw_exception");
stat = db_->QueryByFileID(dummy_context_, TABLE_NAME, file_ids, k, 10, xq, dates, result_ids,
result_distances);
ASSERT_FALSE(stat.ok());
fiu_disable("SqliteMetaImpl.FilesToSearch.throw_exception");
FIU_ENABLE_FIU("DBImpl.QueryByFileID.empty_files_array");
stat = db_->QueryByFileID(dummy_context_, TABLE_NAME, file_ids, k, 10, xq, dates, result_ids,
result_distances);
ASSERT_FALSE(stat.ok());
fiu_disable("DBImpl.QueryByFileID.empty_files_array");
}
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_PQ;
db_->CreateIndex(TABLE_NAME, index); // wait until build index finish
{
std::vector<std::string> tags;
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_distances;
stat = db_->Query(dummy_context_, TABLE_NAME, tags, k, 10, xq, result_ids, result_distances);
ASSERT_TRUE(stat.ok());
stat = db_->Query(dummy_context_, TABLE_NAME, tags, k, 10, xq, result_ids, result_distances);
ASSERT_TRUE(stat.ok());
FIU_ENABLE_FIU("SqliteMetaImpl.FilesToSearch.throw_exception");
stat = db_->Query(dummy_context_, TABLE_NAME, tags, k, 10, xq, result_ids, result_distances);
ASSERT_FALSE(stat.ok());
fiu_disable("SqliteMetaImpl.FilesToSearch.throw_exception");
}
#ifdef CUSTOMIZATION
// test FAISS_IVFSQ8H optimizer
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8H;
db_->CreateIndex(TABLE_NAME, index); // wait until build index finish
std::vector<std::string> partition_tag;
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_dists;
{
result_ids.clear();
result_dists.clear();
stat = db_->Query(dummy_context_, TABLE_NAME, partition_tag, k, 10, xq, result_ids, result_dists);
ASSERT_TRUE(stat.ok());
}
{ // search by specify index file
milvus::engine::meta::DatesT dates;
std::vector<std::string> file_ids;
// sometimes this case run fast to merge file and build index, old file will be deleted immediately,
// so the QueryByFileID cannot get files to search
// input 100 files ids to avoid random failure of this case
for (int i = 0; i < 100; i++) {
file_ids.push_back(std::to_string(i));
}
result_ids.clear();
result_dists.clear();
stat = db_->QueryByFileID(dummy_context_, TABLE_NAME, file_ids, k, 10, xq, dates, result_ids,
result_dists);
ASSERT_TRUE(stat.ok());
}
#endif
}
TEST_F(DBTest, PRELOADTABLE_TEST) {
fiu_init(0);
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);
uint64_t nb = VECTOR_COUNT;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
int loop = 5;
for (auto i = 0; i < loop; ++i) {
xb.id_array_.clear();
db_->InsertVectors(TABLE_NAME, "", xb);
ASSERT_EQ(xb.id_array_.size(), nb);
}
milvus::engine::TableIndex index;
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IDMAP;
db_->CreateIndex(TABLE_NAME, index); // wait until build index finish
int64_t prev_cache_usage = milvus::cache::CpuCacheMgr::GetInstance()->CacheUsage();
stat = db_->PreloadTable(TABLE_NAME);
ASSERT_TRUE(stat.ok());
int64_t cur_cache_usage = milvus::cache::CpuCacheMgr::GetInstance()->CacheUsage();
ASSERT_TRUE(prev_cache_usage < cur_cache_usage);
FIU_ENABLE_FIU("SqliteMetaImpl.FilesToSearch.throw_exception");
stat = db_->PreloadTable(TABLE_NAME);
ASSERT_FALSE(stat.ok());
fiu_disable("SqliteMetaImpl.FilesToSearch.throw_exception");
//create a partition
stat = db_->CreatePartition(TABLE_NAME, "part0", "0");
ASSERT_TRUE(stat.ok());
stat = db_->PreloadTable(TABLE_NAME);
ASSERT_TRUE(stat.ok());
FIU_ENABLE_FIU("DBImpl.PreloadTable.null_engine");
stat = db_->PreloadTable(TABLE_NAME);
ASSERT_FALSE(stat.ok());
fiu_disable("DBImpl.PreloadTable.null_engine");
FIU_ENABLE_FIU("DBImpl.PreloadTable.exceed_cache");
stat = db_->PreloadTable(TABLE_NAME);
ASSERT_FALSE(stat.ok());
fiu_disable("DBImpl.PreloadTable.exceed_cache");
FIU_ENABLE_FIU("DBImpl.PreloadTable.engine_throw_exception");
stat = db_->PreloadTable(TABLE_NAME);
ASSERT_FALSE(stat.ok());
fiu_disable("DBImpl.PreloadTable.engine_throw_exception");
}
TEST_F(DBTest, SHUTDOWN_TEST) {
db_->Stop();
milvus::engine::meta::TableSchema table_info = BuildTableSchema();
auto stat = db_->CreateTable(table_info);
ASSERT_FALSE(stat.ok());
stat = db_->DescribeTable(table_info);
ASSERT_FALSE(stat.ok());
stat = db_->UpdateTableFlag(TABLE_NAME, 0);
ASSERT_FALSE(stat.ok());
stat = db_->CreatePartition(TABLE_NAME, "part0", "0");
ASSERT_FALSE(stat.ok());
stat = db_->DropPartition("part0");
ASSERT_FALSE(stat.ok());
stat = db_->DropPartitionByTag(TABLE_NAME, "0");
ASSERT_FALSE(stat.ok());
std::vector<milvus::engine::meta::TableSchema> partition_schema_array;
stat = db_->ShowPartitions(TABLE_NAME, partition_schema_array);
ASSERT_FALSE(stat.ok());
std::vector<milvus::engine::meta::TableSchema> table_infos;
stat = db_->AllTables(table_infos);
ASSERT_EQ(stat.code(), milvus::DB_ERROR);
bool has_table = false;
stat = db_->HasTable(table_info.table_id_, has_table);
ASSERT_FALSE(stat.ok());
milvus::engine::VectorsData xb;
stat = db_->InsertVectors(table_info.table_id_, "", xb);
ASSERT_FALSE(stat.ok());
stat = db_->PreloadTable(table_info.table_id_);
ASSERT_FALSE(stat.ok());
uint64_t row_count = 0;
stat = db_->GetTableRowCount(table_info.table_id_, row_count);
ASSERT_FALSE(stat.ok());
milvus::engine::TableIndex index;
stat = db_->CreateIndex(table_info.table_id_, index);
ASSERT_FALSE(stat.ok());
stat = db_->DescribeIndex(table_info.table_id_, index);
ASSERT_FALSE(stat.ok());
stat = db_->DropIndex(TABLE_NAME);
ASSERT_FALSE(stat.ok());
std::vector<std::string> tags;
milvus::engine::meta::DatesT dates;
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_distances;
stat =
db_->Query(dummy_context_, table_info.table_id_, tags, 1, 1, xb, dates, result_ids, result_distances);
ASSERT_FALSE(stat.ok());
std::vector<std::string> file_ids;
stat = db_->QueryByFileID(dummy_context_, table_info.table_id_, file_ids, 1, 1, xb, dates, result_ids,
result_distances);
ASSERT_FALSE(stat.ok());
stat = db_->Query(dummy_context_, table_info.table_id_, tags, 1, 1,
milvus::engine::VectorsData(), result_ids, result_distances);
ASSERT_FALSE(stat.ok());
stat = db_->DropTable(table_info.table_id_, dates);
ASSERT_FALSE(stat.ok());
}
TEST_F(DBTest, BACK_TIMER_THREAD_1) {
fiu_init(0);
milvus::engine::meta::TableSchema table_info = BuildTableSchema();
milvus::Status stat;
//test background timer thread
{
FIU_ENABLE_FIU("DBImpl.StartMetricTask.InvalidTotalCache");
FIU_ENABLE_FIU("SqliteMetaImpl.FilesToMerge.throw_exception");
stat = db_->CreateTable(table_info);
ASSERT_TRUE(stat.ok());
//insert some vector to create some tablefiles
int64_t nb = VECTOR_COUNT;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
int loop = 10;
for (auto i = 0; i < loop; ++i) {
db_->InsertVectors(TABLE_NAME, "", xb);
ASSERT_EQ(xb.id_array_.size(), nb);
}
std::this_thread::sleep_for(std::chrono::seconds(2));
db_->Stop();
fiu_disable("DBImpl.StartMetricTask.InvalidTotalCache");
fiu_disable("SqliteMetaImpl.FilesToMerge.throw_exception");
}
FIU_ENABLE_FIU("DBImpl.StartMetricTask.InvalidTotalCache");
db_->Start();
std::this_thread::sleep_for(std::chrono::seconds(2));
db_->Stop();
fiu_disable("DBImpl.StartMetricTask.InvalidTotalCache");
}
TEST_F(DBTest, BACK_TIMER_THREAD_2) {
fiu_init(0);
milvus::Status stat;
milvus::engine::meta::TableSchema table_info = BuildTableSchema();
stat = db_->CreateTable(table_info);
ASSERT_TRUE(stat.ok());
//insert some vector to create some tablefiles
int64_t nb = VECTOR_COUNT;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
int loop = 10;
for (auto i = 0; i < loop; ++i) {
db_->InsertVectors(TABLE_NAME, "", xb);
ASSERT_EQ(xb.id_array_.size(), nb);
}
FIU_ENABLE_FIU("SqliteMetaImpl.CreateTableFile.throw_exception");
std::this_thread::sleep_for(std::chrono::seconds(2));
db_->Stop();
fiu_disable("SqliteMetaImpl.CreateTableFile.throw_exception");
}
TEST_F(DBTest, BACK_TIMER_THREAD_3) {
fiu_init(0);
milvus::Status stat;
milvus::engine::meta::TableSchema table_info = BuildTableSchema();
stat = db_->CreateTable(table_info);
ASSERT_TRUE(stat.ok());
//insert some vector to create some tablefiles
int64_t nb = VECTOR_COUNT;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
int loop = 10;
for (auto i = 0; i < loop; ++i) {
db_->InsertVectors(TABLE_NAME, "", xb);
ASSERT_EQ(xb.id_array_.size(), nb);
}
FIU_ENABLE_FIU("DBImpl.MergeFiles.Serialize_ThrowException");
db_->Start();
std::this_thread::sleep_for(std::chrono::seconds(2));
db_->Stop();
fiu_disable("DBImpl.MergeFiles.Serialize_ThrowException");
}
TEST_F(DBTest, BACK_TIMER_THREAD_4) {
fiu_init(0);
milvus::Status stat;
milvus::engine::meta::TableSchema table_info = BuildTableSchema();
stat = db_->CreateTable(table_info);
ASSERT_TRUE(stat.ok());
//insert some vector to create some tablefiles
int64_t nb = VECTOR_COUNT;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
int loop = 10;
for (auto i = 0; i < loop; ++i) {
db_->InsertVectors(TABLE_NAME, "", xb);
ASSERT_EQ(xb.id_array_.size(), nb);
}
FIU_ENABLE_FIU("DBImpl.MergeFiles.Serialize_ErrorStatus");
db_->Start();
std::this_thread::sleep_for(std::chrono::seconds(2));
db_->Stop();
fiu_disable("DBImpl.MergeFiles.Serialize_ErrorStatus");
}
TEST_F(DBTest, INDEX_TEST) {
milvus::engine::meta::TableSchema table_info = BuildTableSchema();
auto stat = db_->CreateTable(table_info);
uint64_t nb = VECTOR_COUNT;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
db_->InsertVectors(TABLE_NAME, "", xb);
ASSERT_EQ(xb.id_array_.size(), nb);
milvus::engine::TableIndex index;
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8;
index.metric_type_ = (int)milvus::engine::MetricType::IP;
stat = db_->CreateIndex(table_info.table_id_, index);
ASSERT_TRUE(stat.ok());
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFFLAT;
stat = db_->CreateIndex(table_info.table_id_, index);
ASSERT_TRUE(stat.ok());
fiu_init(0);
FIU_ENABLE_FIU("SqliteMetaImpl.DescribeTableIndex.throw_exception");
stat = db_->CreateIndex(table_info.table_id_, index);
ASSERT_FALSE(stat.ok());
fiu_disable("SqliteMetaImpl.DescribeTableIndex.throw_exception");
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_PQ;
FIU_ENABLE_FIU("DBImpl.UpdateTableIndexRecursively.fail_update_table_index");
stat = db_->CreateIndex(table_info.table_id_, index);
ASSERT_FALSE(stat.ok());
fiu_disable("DBImpl.UpdateTableIndexRecursively.fail_update_table_index");
#ifdef CUSTOMIZATION
#ifdef MILVUS_GPU_VERSION
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8H;
stat = db_->CreateIndex(table_info.table_id_, index);
ASSERT_TRUE(stat.ok());
#endif
#endif
milvus::engine::TableIndex index_out;
stat = db_->DescribeIndex(table_info.table_id_, index_out);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(index.engine_type_, index_out.engine_type_);
ASSERT_EQ(index.nlist_, index_out.nlist_);
ASSERT_EQ(table_info.metric_type_, index_out.metric_type_);
stat = db_->DropIndex(table_info.table_id_);
ASSERT_TRUE(stat.ok());
}
TEST_F(DBTest, PARTITION_TEST) {
milvus::engine::meta::TableSchema table_info = BuildTableSchema();
auto stat = db_->CreateTable(table_info);
ASSERT_TRUE(stat.ok());
// create partition and insert data
const int64_t PARTITION_COUNT = 5;
const int64_t INSERT_BATCH = 2000;
std::string table_name = TABLE_NAME;
for (int64_t i = 0; i < PARTITION_COUNT; i++) {
std::string partition_tag = std::to_string(i);
std::string partition_name = table_name + "_" + partition_tag;
stat = db_->CreatePartition(table_name, partition_name, partition_tag);
ASSERT_TRUE(stat.ok());
// not allow nested partition
stat = db_->CreatePartition(partition_name, "dumy", "dummy");
ASSERT_FALSE(stat.ok());
// not allow duplicated partition
stat = db_->CreatePartition(table_name, partition_name, partition_tag);
ASSERT_FALSE(stat.ok());
milvus::engine::VectorsData xb;
BuildVectors(INSERT_BATCH, xb);
milvus::engine::IDNumbers vector_ids;
vector_ids.resize(INSERT_BATCH);
for (int64_t k = 0; k < INSERT_BATCH; k++) {
vector_ids[k] = i * INSERT_BATCH + k;
}
db_->InsertVectors(table_name, partition_tag, xb);
ASSERT_EQ(vector_ids.size(), INSERT_BATCH);
//insert data into not existed partition
stat = db_->InsertVectors(TABLE_NAME, "notexist", xb);
ASSERT_FALSE(stat.ok());
}
// duplicated partition is not allowed
stat = db_->CreatePartition(table_name, "", "0");
ASSERT_FALSE(stat.ok());
std::vector<milvus::engine::meta::TableSchema> partition_schema_array;
stat = db_->ShowPartitions(table_name, partition_schema_array);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(partition_schema_array.size(), PARTITION_COUNT);
for (int64_t i = 0; i < PARTITION_COUNT; i++) {
ASSERT_EQ(partition_schema_array[i].table_id_, table_name + "_" + std::to_string(i));
}
{ // build index
milvus::engine::TableIndex index;
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFFLAT;
index.metric_type_ = (int)milvus::engine::MetricType::L2;
stat = db_->CreateIndex(table_info.table_id_, index);
ASSERT_TRUE(stat.ok());
fiu_init(0);
FIU_ENABLE_FIU("DBImpl.BuildTableIndexRecursively.fail_build_table_Index_for_partition");
stat = db_->CreateIndex(table_info.table_id_, index);
ASSERT_FALSE(stat.ok());
fiu_disable("DBImpl.BuildTableIndexRecursively.fail_build_table_Index_for_partition");
FIU_ENABLE_FIU("DBImpl.BuildTableIndexRecursively.not_empty_err_msg");
stat = db_->CreateIndex(table_info.table_id_, index);
ASSERT_FALSE(stat.ok());
fiu_disable("DBImpl.BuildTableIndexRecursively.not_empty_err_msg");
uint64_t row_count = 0;
stat = db_->GetTableRowCount(TABLE_NAME, row_count);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(row_count, INSERT_BATCH * PARTITION_COUNT);
FIU_ENABLE_FIU("SqliteMetaImpl.Count.throw_exception");
stat = db_->GetTableRowCount(TABLE_NAME, row_count);
ASSERT_FALSE(stat.ok());
fiu_disable("SqliteMetaImpl.Count.throw_exception");
FIU_ENABLE_FIU("DBImpl.GetTableRowCountRecursively.fail_get_table_rowcount_for_partition");
stat = db_->GetTableRowCount(TABLE_NAME, row_count);
ASSERT_FALSE(stat.ok());
fiu_disable("DBImpl.GetTableRowCountRecursively.fail_get_table_rowcount_for_partition");
}
{ // search
const int64_t nq = 5;
const int64_t topk = 10;
const int64_t nprobe = 10;
milvus::engine::VectorsData xq;
BuildVectors(nq, xq);
// specify partition tags
std::vector<std::string> tags = {"0", std::to_string(PARTITION_COUNT - 1)};
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_distances;
stat = db_->Query(dummy_context_, TABLE_NAME, tags, topk, nprobe, xq, result_ids, result_distances);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(result_ids.size() / topk, nq);
// search in whole table
tags.clear();
result_ids.clear();
result_distances.clear();
stat = db_->Query(dummy_context_, TABLE_NAME, tags, topk, nprobe, xq, result_ids, result_distances);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(result_ids.size() / topk, nq);
// search in all partitions(tag regex match)
tags.push_back("\\d");
result_ids.clear();
result_distances.clear();
stat = db_->Query(dummy_context_, TABLE_NAME, tags, topk, nprobe, xq, result_ids, result_distances);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(result_ids.size() / topk, nq);
}
stat = db_->DropPartition(table_name + "_0");
ASSERT_TRUE(stat.ok());
stat = db_->DropPartitionByTag(table_name, "1");
ASSERT_TRUE(stat.ok());
FIU_ENABLE_FIU("DBImpl.DropTableIndexRecursively.fail_drop_table_Index_for_partition");
stat = db_->DropIndex(table_info.table_id_);
ASSERT_FALSE(stat.ok());
fiu_disable("DBImpl.DropTableIndexRecursively.fail_drop_table_Index_for_partition");
FIU_ENABLE_FIU("DBImpl.DropTableIndexRecursively.fail_drop_table_Index_for_partition");
stat = db_->DropIndex(table_info.table_id_);
ASSERT_FALSE(stat.ok());
fiu_disable("DBImpl.DropTableIndexRecursively.fail_drop_table_Index_for_partition");
stat = db_->DropIndex(table_name);
ASSERT_TRUE(stat.ok());
milvus::engine::meta::DatesT dates;
stat = db_->DropTable(table_name, dates);
ASSERT_TRUE(stat.ok());
}
TEST_F(DBTest2, 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);
uint64_t size;
db_->Size(size);
uint64_t nb = 10;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
int loop = INSERT_LOOP;
for (auto i = 0; i < loop; ++i) {
milvus::engine::IDNumbers vector_ids;
db_->InsertVectors(TABLE_NAME, "", xb);
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(DBTest2, DELETE_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());
bool has_table = false;
db_->HasTable(TABLE_NAME, has_table);
ASSERT_TRUE(has_table);
uint64_t size;
db_->Size(size);
uint64_t nb = VECTOR_COUNT;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
milvus::engine::IDNumbers vector_ids;
stat = db_->InsertVectors(TABLE_NAME, "", xb);
milvus::engine::TableIndex index;
stat = db_->CreateIndex(TABLE_NAME, index);
std::vector<milvus::engine::meta::DateT> dates;
//create partition, drop table will drop partition recursively
stat = db_->CreatePartition(TABLE_NAME, "part0", "0");
ASSERT_TRUE(stat.ok());
//fail drop table
fiu_init(0);
FIU_ENABLE_FIU("DBImpl.DropTableRecursively.failed");
stat = db_->DropTable(TABLE_NAME, dates);
ASSERT_FALSE(stat.ok());
fiu_disable("DBImpl.DropTableRecursively.failed");
stat = db_->DropTable(TABLE_NAME, dates);
std::this_thread::sleep_for(std::chrono::seconds(2));
ASSERT_TRUE(stat.ok());
db_->HasTable(TABLE_NAME, has_table);
ASSERT_FALSE(has_table);
}
TEST_F(DBTest2, DELETE_BY_RANGE_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());
bool has_table = false;
db_->HasTable(TABLE_NAME, has_table);
ASSERT_TRUE(has_table);
uint64_t size;
db_->Size(size);
ASSERT_EQ(size, 0UL);
uint64_t nb = VECTOR_COUNT;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
milvus::engine::IDNumbers vector_ids;
stat = db_->InsertVectors(TABLE_NAME, "", xb);
milvus::engine::TableIndex index;
stat = db_->CreateIndex(TABLE_NAME, index);
db_->Size(size);
ASSERT_NE(size, 0UL);
std::vector<milvus::engine::meta::DateT> dates;
std::string start_value = CurrentTmDate(-5);
std::string end_value = CurrentTmDate(5);
ConvertTimeRangeToDBDates(start_value, end_value, dates);
stat = db_->DropTable(TABLE_NAME, dates);
ASSERT_TRUE(stat.ok());
uint64_t row_count = 0;
db_->GetTableRowCount(TABLE_NAME, row_count);
ASSERT_EQ(row_count, 0UL);
}
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