提交 782c7ada 编写于 作者: G groot

add usittest for delete table


Former-commit-id: 5219a38c73a349c3f1f8e79d7fee0c4044a81c6c
上级 b7bc62d4
......@@ -62,7 +62,7 @@ Status MemVectors::Serialize(std::string& table_id) {
auto status = pMeta_->UpdateTableFile(schema_);
LOG(DEBUG) << "New " << ((schema_.file_type_ == meta::TableFileSchema::RAW) ? "raw" : "to_index")
<< " file " << schema_.file_id_ << " of size " << pEE_->Size() / meta::M << " M";
<< " file " << schema_.file_id_ << " of size " << (double)(pEE_->Size()) / (double)meta::M << " M";
pEE_->Cache();
......
......@@ -6,6 +6,7 @@
#include <gtest/gtest.h>
#include <thread>
#include <easylogging++.h>
#include <boost/filesystem.hpp>
#include "utils.h"
#include "db/DB.h"
......@@ -14,6 +15,31 @@
using namespace zilliz::milvus;
namespace {
static const std::string TABLE_NAME = "test_group";
static constexpr int64_t TABLE_DIM = 256;
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<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.;
}
}
}
TEST_F(DBTest, CONFIG_TEST) {
{
ASSERT_ANY_THROW(engine::ArchiveConf conf("wrong"));
......@@ -60,52 +86,6 @@ TEST_F(DBTest, CONFIG_TEST) {
}
}
TEST_F(DBTest2, ARHIVE_DISK_CHECK) {
static const std::string group_name = "test_group";
static const int group_dim = 256;
uint64_t size;
engine::meta::TableSchema group_info;
group_info.dimension_ = group_dim;
group_info.table_id_ = group_name;
group_info.engine_type_ = (int)engine::EngineType::FAISS_IDMAP;
engine::Status stat = db_->CreateTable(group_info);
engine::meta::TableSchema group_info_get;
group_info_get.table_id_ = group_name;
stat = db_->DescribeTable(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; i<loop; ++i) {
db_->InsertVectors(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_LT(size, 1 * engine::meta::G);
delete [] xb;
};
TEST_F(DBTest, DB_TEST) {
static const std::string table_name = "test_group";
......@@ -126,20 +106,13 @@ TEST_F(DBTest, DB_TEST) {
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.;
}
int64_t nb = 50;
std::vector<float> xb;
BuildVectors(nb, xb);
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.;
}
int64_t qb = 5;
std::vector<float> qxb;
BuildVectors(qb, qxb);
std::thread search([&]() {
engine::QueryResults results;
......@@ -157,7 +130,7 @@ TEST_F(DBTest, DB_TEST) {
prev_count = count;
START_TIMER;
stat = db_->Query(table_name, k, qb, qxb, results);
stat = db_->Query(table_name, k, qb, qxb.data(), results);
ss << "Search " << j << " With Size " << count/engine::meta::M << " M";
STOP_TIMER(ss.str());
......@@ -180,54 +153,45 @@ TEST_F(DBTest, DB_TEST) {
for (auto i=0; i<loop; ++i) {
if (i==40) {
db_->InsertVectors(table_name, qb, qxb, target_ids);
db_->InsertVectors(table_name, qb, qxb.data(), target_ids);
ASSERT_EQ(target_ids.size(), qb);
} else {
db_->InsertVectors(table_name, nb, xb, vector_ids);
db_->InsertVectors(table_name, nb, xb.data(), 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 table_name = "test_group";
static const int group_dim = 256;
engine::meta::TableSchema table_info;
table_info.dimension_ = group_dim;
table_info.table_id_ = table_name;
table_info.engine_type_ = (int)engine::EngineType::FAISS_IDMAP;
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;
table_info_get.table_id_ = TABLE_NAME;
stat = db_->DescribeTable(table_info_get);
ASSERT_STATS(stat);
ASSERT_EQ(table_info_get.dimension_, group_dim);
ASSERT_EQ(table_info_get.dimension_, TABLE_DIM);
// prepare raw data
size_t nb = 250000;
size_t nq = 10;
size_t k = 5;
std::vector<float> xb(nb*group_dim);
std::vector<float> xq(nq*group_dim);
std::vector<float> xb(nb*TABLE_DIM);
std::vector<float> xq(nq*TABLE_DIM);
std::vector<long> 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++) {
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*group_dim; i++) {
for (size_t i = 0; i < nq*TABLE_DIM; i++) {
xq[i] = dis_xt(gen);
}
......@@ -240,7 +204,7 @@ TEST_F(DBTest, SEARCH_TEST) {
// 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*group_dim, ids);
stat = db_->InsertVectors(TABLE_NAME, batch_size, xb.data()+batch_size*j*TABLE_DIM, ids);
if (j == 200){ sleep(1);}
ASSERT_STATS(stat);
}
......@@ -248,9 +212,77 @@ TEST_F(DBTest, SEARCH_TEST) {
sleep(2); // wait until build index finish
engine::QueryResults results;
stat = db_->Query(table_name, k, nq, xq.data(), results);
stat = db_->Query(TABLE_NAME, k, nq, xq.data(), results);
ASSERT_STATS(stat);
// TODO(linxj): add groundTruth assert
};
TEST_F(DBTest2, ARHIVE_DISK_CHECK) {
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);
engine::IDNumbers vector_ids;
engine::IDNumbers target_ids;
uint64_t size;
db_->Size(size);
int64_t nb = 10;
std::vector<float> xb;
BuildVectors(nb, xb);
int loop = 100000;
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 * engine::meta::G);
};
TEST_F(DBTest2, DELETE_TEST) {
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_TRUE(boost::filesystem::exists(table_info_get.location_));
engine::IDNumbers vector_ids;
uint64_t size;
db_->Size(size);
int64_t nb = 100000;
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::this_thread::sleep_for(std::chrono::seconds(2));
ASSERT_TRUE(stat.ok());
ASSERT_FALSE(boost::filesystem::exists(table_info_get.location_));
};
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