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milvus/core/unittest/db/test_mem.cpp
Jin Hai e1027e9e65
#1240 Update license declaration of each file (#1241) 
* #1240 Update license declaration of each files

Signed-off-by: jinhai <hai.jin@zilliz.com>

* #1240 Update CHANGELOG

Signed-off-by: jinhai <hai.jin@zilliz.com>
2020-02-17 23:40:58 +08:00

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// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// 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. See the License for the specific language governing permissions and limitations under the License.
#include <boost/filesystem.hpp>
#include <chrono>
#include <cmath>
#include <fstream>
#include <iostream>
#include <random>
#include <thread>
#include <fiu-control.h>
#include <fiu-local.h>
#include <src/db/DBFactory.h>
#include "db/Constants.h"
#include "db/engine/EngineFactory.h"
#include "db/insert/MemTable.h"
#include "db/insert/MemTableFile.h"
#include "db/insert/VectorSource.h"
#include "db/meta/MetaConsts.h"
#include "db/utils.h"
#include "gtest/gtest.h"
#include "metrics/Metrics.h"
namespace {
static constexpr int64_t TABLE_DIM = 256;
std::string
GetTableName() {
auto now = std::chrono::system_clock::now();
auto micros = std::chrono::duration_cast<std::chrono::microseconds>(now.time_since_epoch()).count();
static std::string table_name = std::to_string(micros);
return table_name;
}
milvus::engine::meta::TableSchema
BuildTableSchema() {
milvus::engine::meta::TableSchema table_info;
table_info.dimension_ = TABLE_DIM;
table_info.table_id_ = GetTableName();
table_info.engine_type_ = (int)milvus::engine::EngineType::FAISS_IDMAP;
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 (int i = 0; i < n; i++) {
for (int j = 0; j < TABLE_DIM; j++) data[TABLE_DIM * i + j] = drand48();
}
}
} // namespace
TEST_F(MemManagerTest, VECTOR_SOURCE_TEST) {
milvus::engine::meta::TableSchema table_schema = BuildTableSchema();
auto status = impl_->CreateTable(table_schema);
ASSERT_TRUE(status.ok());
milvus::engine::meta::TableFileSchema table_file_schema;
table_file_schema.table_id_ = GetTableName();
status = impl_->CreateTableFile(table_file_schema);
ASSERT_TRUE(status.ok());
int64_t n = 100;
milvus::engine::VectorsData vectors;
BuildVectors(n, vectors);
milvus::engine::VectorSource source(vectors);
size_t num_vectors_added;
milvus::engine::ExecutionEnginePtr execution_engine_ = milvus::engine::EngineFactory::Build(
table_file_schema.dimension_, table_file_schema.location_,
(milvus::engine::EngineType)table_file_schema.engine_type_,
(milvus::engine::MetricType)table_file_schema.metric_type_, table_schema.nlist_);
status = source.Add(execution_engine_, table_file_schema, 50, num_vectors_added);
ASSERT_TRUE(status.ok());
ASSERT_EQ(num_vectors_added, 50);
ASSERT_EQ(source.GetVectorIds().size(), 50);
vectors.id_array_.clear();
status = source.Add(execution_engine_, table_file_schema, 60, num_vectors_added);
ASSERT_TRUE(status.ok());
ASSERT_EQ(num_vectors_added, 50);
ASSERT_EQ(source.GetVectorIds().size(), 100);
auto current_num_vectors_added = source.GetNumVectorsAdded();
ASSERT_EQ(current_num_vectors_added, 100);
vectors.id_array_ = source.GetVectorIds();
ASSERT_EQ(vectors.id_array_.size(), 100);
fiu_init(0);
FIU_ENABLE_FIU("VecIndexImpl.Add.throw_knowhere_exception");
status = source.Add(execution_engine_, table_file_schema, 60, num_vectors_added);
ASSERT_FALSE(status.ok());
fiu_disable("VecIndexImpl.Add.throw_knowhere_exception");
}
TEST_F(MemManagerTest, MEM_TABLE_FILE_TEST) {
auto options = GetOptions();
fiu_init(0);
milvus::engine::meta::TableSchema table_schema = BuildTableSchema();
auto status = impl_->CreateTable(table_schema);
ASSERT_TRUE(status.ok());
milvus::engine::MemTableFile mem_table_file(GetTableName(), impl_, options);
int64_t n_100 = 100;
milvus::engine::VectorsData vectors_100;
BuildVectors(n_100, vectors_100);
milvus::engine::VectorSourcePtr source = std::make_shared<milvus::engine::VectorSource>(vectors_100);
status = mem_table_file.Add(source);
ASSERT_TRUE(status.ok());
// std::cout << mem_table_file.GetCurrentMem() << " " << mem_table_file.GetMemLeft() << std::endl;
size_t singleVectorMem = sizeof(float) * TABLE_DIM;
ASSERT_EQ(mem_table_file.GetCurrentMem(), n_100 * singleVectorMem);
int64_t n_max = milvus::engine::MAX_TABLE_FILE_MEM / singleVectorMem;
milvus::engine::VectorsData vectors_128M;
BuildVectors(n_max, vectors_128M);
milvus::engine::VectorSourcePtr source_128M =
std::make_shared<milvus::engine::VectorSource>(vectors_128M);
status = mem_table_file.Add(source_128M);
ASSERT_EQ(source_128M->GetVectorIds().size(), n_max - n_100);
ASSERT_TRUE(mem_table_file.IsFull());
//mem_table_file has no memory left = 0
status = mem_table_file.Add(source_128M);
ASSERT_TRUE(status.ok());
{
//test fail create table file
FIU_ENABLE_FIU("SqliteMetaImpl.CreateTableFile.throw_exception");
milvus::engine::MemTableFile mem_table_file_1(GetTableName(), impl_, options);
fiu_disable("SqliteMetaImpl.CreateTableFile.throw_exception");
status = mem_table_file_1.Add(source);
ASSERT_FALSE(status.ok());
ASSERT_EQ(status.code(), milvus::DB_ERROR);
}
{
options.insert_cache_immediately_ = true;
milvus::engine::meta::TableSchema table_schema = BuildTableSchema();
table_schema.table_id_ = "faiss_pq";
table_schema.engine_type_ = (int)milvus::engine::EngineType::FAISS_PQ;
auto status = impl_->CreateTable(table_schema);
ASSERT_TRUE(status.ok());
milvus::engine::MemTableFile mem_table_file_1("faiss_pq", impl_, options);
mem_table_file_1.Serialize();
}
}
TEST_F(MemManagerTest, MEM_TABLE_TEST) {
auto options = GetOptions();
milvus::engine::meta::TableSchema table_schema = BuildTableSchema();
auto status = impl_->CreateTable(table_schema);
ASSERT_TRUE(status.ok());
int64_t n_100 = 100;
milvus::engine::VectorsData vectors_100;
BuildVectors(n_100, vectors_100);
milvus::engine::VectorSourcePtr source_100 =
std::make_shared<milvus::engine::VectorSource>(vectors_100);
milvus::engine::MemTable mem_table(GetTableName(), impl_, options);
status = mem_table.Add(source_100);
ASSERT_TRUE(status.ok());
ASSERT_EQ(source_100->GetVectorIds().size(), 100);
milvus::engine::MemTableFilePtr mem_table_file;
mem_table.GetCurrentMemTableFile(mem_table_file);
size_t singleVectorMem = sizeof(float) * TABLE_DIM;
ASSERT_EQ(mem_table_file->GetCurrentMem(), n_100 * singleVectorMem);
int64_t n_max = milvus::engine::MAX_TABLE_FILE_MEM / singleVectorMem;
milvus::engine::VectorsData vectors_128M;
BuildVectors(n_max, vectors_128M);
milvus::engine::VectorSourcePtr source_128M =
std::make_shared<milvus::engine::VectorSource>(vectors_128M);
status = mem_table.Add(source_128M);
ASSERT_TRUE(status.ok());
ASSERT_EQ(source_128M->GetVectorIds().size(), n_max);
mem_table.GetCurrentMemTableFile(mem_table_file);
ASSERT_EQ(mem_table_file->GetCurrentMem(), n_100 * singleVectorMem);
ASSERT_EQ(mem_table.GetTableFileCount(), 2);
int64_t n_1G = 1024000;
milvus::engine::VectorsData vectors_1G;
BuildVectors(n_1G, vectors_1G);
milvus::engine::VectorSourcePtr source_1G = std::make_shared<milvus::engine::VectorSource>(vectors_1G);
status = mem_table.Add(source_1G);
ASSERT_TRUE(status.ok());
ASSERT_EQ(source_1G->GetVectorIds().size(), n_1G);
int expectedTableFileCount = 2 + std::ceil((n_1G - n_100) * singleVectorMem / milvus::engine::MAX_TABLE_FILE_MEM);
ASSERT_EQ(mem_table.GetTableFileCount(), expectedTableFileCount);
status = mem_table.Serialize();
ASSERT_TRUE(status.ok());
milvus::engine::VectorsData vectors_10;
BuildVectors(10, vectors_10);
milvus::engine::VectorSourcePtr source_10 = std::make_shared<milvus::engine::VectorSource>(vectors_10);
fiu_init(0);
FIU_ENABLE_FIU("VecIndexImpl.Add.throw_knowhere_exception");
status = mem_table.Add(source_10);
ASSERT_FALSE(status.ok());
fiu_disable("VecIndexImpl.Add.throw_knowhere_exception");
status = mem_table.Add(source_10);
ASSERT_TRUE(status.ok());
FIU_ENABLE_FIU("SqliteMetaImpl.UpdateTableFile.throw_exception");
status = mem_table.Serialize();
ASSERT_FALSE(status.ok());
fiu_disable("SqliteMetaImpl.UpdateTableFile.throw_exception");
}
TEST_F(MemManagerTest2, SERIAL_INSERT_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_ = GetTableName();
stat = db_->DescribeTable(table_info_get);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(table_info_get.dimension_, TABLE_DIM);
int64_t nb = 100000;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
for (int64_t i = 0; i < nb; i++) {
xb.id_array_.push_back(i);
}
stat = db_->InsertVectors(GetTableName(), "", xb);
ASSERT_TRUE(stat.ok());
std::this_thread::sleep_for(std::chrono::seconds(3)); // ensure raw data write to disk
std::random_device rd;
std::mt19937 gen(rd());
std::uniform_int_distribution<int64_t> dis(0, nb - 1);
int64_t num_query = 10;
std::map<int64_t, milvus::engine::VectorsData> search_vectors;
for (int64_t i = 0; i < num_query; ++i) {
int64_t index = dis(gen);
milvus::engine::VectorsData search;
search.vector_count_ = 1;
for (int64_t j = 0; j < TABLE_DIM; j++) {
search.float_data_.push_back(xb.float_data_[index * TABLE_DIM + j]);
}
search_vectors.insert(std::make_pair(xb.id_array_[index], search));
}
int topk = 10, nprobe = 10;
for (auto& pair : search_vectors) {
auto& search = pair.second;
std::vector<std::string> tags;
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_distances;
stat = db_->Query(dummy_context_, GetTableName(), tags, topk, nprobe, search, result_ids,
result_distances);
ASSERT_EQ(result_ids[0], pair.first);
ASSERT_LT(result_distances[0], 1e-4);
}
}
TEST_F(MemManagerTest2, INSERT_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_ = GetTableName();
stat = db_->DescribeTable(table_info_get);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(table_info_get.dimension_, TABLE_DIM);
auto start_time = METRICS_NOW_TIME;
int insert_loop = 20;
for (int i = 0; i < insert_loop; ++i) {
int64_t nb = 40960;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
milvus::engine::IDNumbers vector_ids;
stat = db_->InsertVectors(GetTableName(), "", xb);
ASSERT_TRUE(stat.ok());
}
auto end_time = METRICS_NOW_TIME;
auto total_time = METRICS_MICROSECONDS(start_time, end_time);
LOG(DEBUG) << "total_time spent in INSERT_TEST (ms) : " << total_time;
}
TEST_F(MemManagerTest2, CONCURRENT_INSERT_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_ = GetTableName();
stat = db_->DescribeTable(table_info_get);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(table_info_get.dimension_, TABLE_DIM);
int64_t nb = 40960;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
int64_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_, GetTableName(), 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 = 20;
for (auto i = 0; i < loop; ++i) {
if (i == 0) {
qxb.id_array_.clear();
db_->InsertVectors(GetTableName(), "", qxb);
ASSERT_EQ(qxb.id_array_.size(), qb);
} else {
xb.id_array_.clear();
db_->InsertVectors(GetTableName(), "", xb);
ASSERT_EQ(xb.id_array_.size(), nb);
}
std::this_thread::sleep_for(std::chrono::microseconds(1));
}
search.join();
}
TEST_F(MemManagerTest2, VECTOR_IDS_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_ = GetTableName();
stat = db_->DescribeTable(table_info_get);
ASSERT_TRUE(stat.ok());
ASSERT_EQ(table_info_get.dimension_, TABLE_DIM);
int64_t nb = 100000;
milvus::engine::VectorsData xb;
BuildVectors(nb, xb);
xb.id_array_.resize(nb);
for (auto i = 0; i < nb; i++) {
xb.id_array_[i] = i;
}
stat = db_->InsertVectors(GetTableName(), "", xb);
ASSERT_EQ(xb.id_array_[0], 0);
ASSERT_TRUE(stat.ok());
nb = 25000;
BuildVectors(nb, xb);
xb.id_array_.resize(nb);
for (auto i = 0; i < nb; i++) {
xb.id_array_[i] = i + nb;
}
stat = db_->InsertVectors(GetTableName(), "", xb);
ASSERT_EQ(xb.id_array_[0], nb);
ASSERT_TRUE(stat.ok());
nb = 262144; // 512M
BuildVectors(nb, xb);
xb.id_array_.resize(nb);
for (auto i = 0; i < nb; i++) {
xb.id_array_[i] = i + nb / 2;
}
stat = db_->InsertVectors(GetTableName(), "", xb);
ASSERT_EQ(xb.id_array_[0], nb / 2);
ASSERT_TRUE(stat.ok());
nb = 65536; // 128M
BuildVectors(nb, xb);
xb.id_array_.clear();
stat = db_->InsertVectors(GetTableName(), "", xb);
ASSERT_TRUE(stat.ok());
nb = 100;
BuildVectors(nb, xb);
xb.id_array_.resize(nb);
for (auto i = 0; i < nb; i++) {
xb.id_array_[i] = i + nb;
}
stat = db_->InsertVectors(GetTableName(), "", xb);
for (auto i = 0; i < nb; i++) {
ASSERT_EQ(xb.id_array_[i], i + nb);
}
}
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