// 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 <fiu-control.h>
#include <fiu-local.h>
#include <gtest/gtest.h>

#include <boost/filesystem.hpp>
#include <random>
#include <thread>

#include "cache/CpuCacheMgr.h"
#include "config/Config.h"
#include "db/Constants.h"
#include "db/DB.h"
#include "db/DBFactory.h"
#include "db/DBImpl.h"
#include "db/IDGenerator.h"
#include "db/meta/MetaConsts.h"
#include "db/utils.h"
#include "utils/CommonUtil.h"

namespace {

static const char* COLLECTION_NAME = "test_group";
static constexpr int64_t COLLECTION_DIM = 256;
static constexpr int64_t VECTOR_COUNT = 5000;
static constexpr int64_t INSERT_LOOP = 100;
static constexpr int64_t SECONDS_EACH_HOUR = 3600;
static constexpr int64_t DAY_SECONDS = 24 * 60 * 60;

milvus::engine::meta::CollectionSchema
BuildCollectionSchema() {
    milvus::engine::meta::CollectionSchema collection_info;
    collection_info.dimension_ = COLLECTION_DIM;
    collection_info.collection_id_ = COLLECTION_NAME;
    return collection_info;
}

void
BuildVectors(uint64_t n, uint64_t batch_index, milvus::engine::VectorsData& vectors) {
    vectors.vector_count_ = n;
    vectors.float_data_.clear();
    vectors.float_data_.resize(n * COLLECTION_DIM);
    float* data = vectors.float_data_.data();
    for (uint64_t i = 0; i < n; i++) {
        for (int64_t j = 0; j < COLLECTION_DIM; j++) data[COLLECTION_DIM * i + j] = drand48();
        data[COLLECTION_DIM * i] += i / 2000.;

        vectors.id_array_.push_back(n * batch_index + i);
    }
}

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::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);

    milvus::engine::meta::CollectionSchema collection_info_get;
    collection_info_get.collection_id_ = COLLECTION_NAME;
    stat = db_->DescribeCollection(collection_info_get);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(collection_info_get.dimension_, COLLECTION_DIM);

    uint64_t qb = 5;
    milvus::engine::VectorsData qxb;
    BuildVectors(qb, 0, 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(1));

        INIT_TIMER;
        std::stringstream ss;
        uint64_t count = 0;
        uint64_t prev_count = 0;
        milvus::json json_params = {{"nprobe", 10}};

        for (auto j = 0; j < 10; ++j) {
            ss.str("");
            db_->Size(count);
            prev_count = count;
            if (count == 0) {
                continue;
            }

            START_TIMER;

            std::vector<std::string> tags;
            stat = db_->Query(dummy_context_, COLLECTION_NAME, tags, k, json_params, qxb, result_ids, result_distances);
            ss << "Search " << j << " With Size " << count / milvus::engine::MB << " MB";
            STOP_TIMER(ss.str());

            ASSERT_TRUE(stat.ok());
            ASSERT_EQ(result_ids.size(), qb * k);
            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::milliseconds(100));
        }
    });

    int loop = INSERT_LOOP;

    for (auto i = 0; i < loop; ++i) {
        if (i == 40) {
            db_->InsertVectors(COLLECTION_NAME, "", qxb);
            ASSERT_EQ(qxb.id_array_.size(), qb);
        } else {
            uint64_t nb = 50;
            milvus::engine::VectorsData xb;
            BuildVectors(nb, i, xb);

            db_->InsertVectors(COLLECTION_NAME, "", xb);
            ASSERT_EQ(xb.id_array_.size(), nb);
        }

        stat = db_->Flush();
        ASSERT_TRUE(stat.ok());

        std::this_thread::sleep_for(std::chrono::milliseconds(20));
    }

    search.join();

    uint64_t count;
    stat = db_->GetCollectionRowCount(COLLECTION_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(BuildDB(options));

        options.meta_.backend_uri_ = "mysql://root:123456@127.0.0.1:3306/test";
        ASSERT_ANY_THROW(BuildDB(options));

        options.meta_.backend_uri_ = "dummy://root:123456@127.0.0.1:3306/test";
        ASSERT_ANY_THROW(BuildDB(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::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);

    milvus::engine::meta::CollectionSchema collection_info_get;
    collection_info_get.collection_id_ = COLLECTION_NAME;
    stat = db_->DescribeCollection(collection_info_get);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(collection_info_get.dimension_, COLLECTION_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 * COLLECTION_DIM);
    xq.vector_count_ = nq;
    xq.float_data_.resize(nq * COLLECTION_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 * COLLECTION_DIM; i++) {
        xb.float_data_[i] = dis_xt(gen);
        if (i < nb) {
            xb.id_array_[i] = i;
        }
    }
    for (size_t i = 0; i < nq * COLLECTION_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(COLLECTION_NAME, "", xb);
    ASSERT_TRUE(stat.ok());

    milvus::json json_params = {{"nprobe", 10}};
    milvus::engine::CollectionIndex index;
    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IDMAP;
    index.extra_params_ = {{"nlist", 16384}};
//    db_->CreateIndex(dummy_context_, COLLECTION_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_, COLLECTION_NAME, tags, k, json_params, xq, result_ids, result_distances);
//        ASSERT_TRUE(stat.ok());
//    }
//
//    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFFLAT;
//    index.extra_params_ = {{"nlist", 16384}};
//    db_->CreateIndex(dummy_context_, COLLECTION_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_, COLLECTION_NAME, tags, k, json_params, xq, result_ids, result_distances);
//        ASSERT_TRUE(stat.ok());
//    }

    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8;
    index.extra_params_ = {{"nlist", 16384}};
    db_->CreateIndex(dummy_context_, COLLECTION_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_, COLLECTION_NAME, tags, k, json_params, xq, result_ids, result_distances);
        ASSERT_TRUE(stat.ok());
    }

#ifdef MILVUS_GPU_VERSION
    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8H;
    db_->CreateIndex(dummy_context_, COLLECTION_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_, COLLECTION_NAME, tags, k, json_params, xq, result_ids, result_distances);
        ASSERT_TRUE(stat.ok());
    }
#endif

    {  // search by specify index file
        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_, file_ids, k,
                                  json_params,
                                  xq,
                                  result_ids,
                                  result_distances);
        ASSERT_TRUE(stat.ok());
    }

    // TODO(zhiru): PQ build takes forever
#if 0
    {
        std::vector<std::string> tags;
        milvus::engine::ResultIds result_ids;
        milvus::engine::ResultDistances result_distances;
        stat = db_->Query(dummy_context_, COLLECTION_NAME, tags, k, json_params, xq, result_ids, result_distances);
        ASSERT_TRUE(stat.ok());
        stat = db_->Query(dummy_context_, COLLECTION_NAME, tags, k, json_params, xq, result_ids, result_distances);
        ASSERT_TRUE(stat.ok());

        FIU_ENABLE_FIU("SqliteMetaImpl.FilesToSearch.throw_exception");
        stat = db_->Query(dummy_context_, COLLECTION_NAME, tags, k, json_params, xq, result_ids, result_distances);
        ASSERT_FALSE(stat.ok());
        fiu_disable("SqliteMetaImpl.FilesToSearch.throw_exception");
    }
#endif

#ifdef MILVUS_GPU_VERSION
    // test FAISS_IVFSQ8H optimizer
    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8H;
    db_->CreateIndex(dummy_context_, COLLECTION_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_, COLLECTION_NAME, partition_tag, k, json_params, xq, result_ids, result_dists);
        ASSERT_TRUE(stat.ok());
    }

    {  // search by specify index file
        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_, file_ids, k, json_params, xq, result_ids, result_dists);
        ASSERT_TRUE(stat.ok());
    }
#endif
}

TEST_F(DBTest, PRELOAD_TEST) {
    fiu_init(0);

    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);

    milvus::engine::meta::CollectionSchema collection_info_get;
    collection_info_get.collection_id_ = COLLECTION_NAME;
    stat = db_->DescribeCollection(collection_info_get);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(collection_info_get.dimension_, COLLECTION_DIM);

    int loop = 5;
    for (auto i = 0; i < loop; ++i) {
        uint64_t nb = VECTOR_COUNT;
        milvus::engine::VectorsData xb;
        BuildVectors(nb, i, xb);

        db_->InsertVectors(COLLECTION_NAME, "", xb);
        ASSERT_EQ(xb.id_array_.size(), nb);
    }

    milvus::engine::CollectionIndex index;
    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IDMAP;
    db_->CreateIndex(dummy_context_, COLLECTION_NAME, index);  // wait until build index finish

    int64_t prev_cache_usage = milvus::cache::CpuCacheMgr::GetInstance()->CacheUsage();
    stat = db_->PreloadCollection(dummy_context_, COLLECTION_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_->PreloadCollection(dummy_context_, COLLECTION_NAME);
    ASSERT_FALSE(stat.ok());
    fiu_disable("SqliteMetaImpl.FilesToSearch.throw_exception");

    // create a partition
    stat = db_->CreatePartition(COLLECTION_NAME, "part0", "0");
    ASSERT_TRUE(stat.ok());
    stat = db_->PreloadCollection(dummy_context_, COLLECTION_NAME);
    ASSERT_TRUE(stat.ok());

    FIU_ENABLE_FIU("DBImpl.PreloadCollection.null_engine");
    stat = db_->PreloadCollection(dummy_context_, COLLECTION_NAME);
    ASSERT_FALSE(stat.ok());
    fiu_disable("DBImpl.PreloadCollection.null_engine");

    FIU_ENABLE_FIU("DBImpl.PreloadCollection.exceed_cache");
    stat = db_->PreloadCollection(dummy_context_, COLLECTION_NAME);
    ASSERT_FALSE(stat.ok());
    fiu_disable("DBImpl.PreloadCollection.exceed_cache");

    FIU_ENABLE_FIU("DBImpl.PreloadCollection.engine_throw_exception");
    stat = db_->PreloadCollection(dummy_context_, COLLECTION_NAME);
    ASSERT_FALSE(stat.ok());
    fiu_disable("DBImpl.PreloadCollection.engine_throw_exception");
}

TEST_F(DBTest, SHUTDOWN_TEST) {
    db_->Stop();

    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);
    ASSERT_FALSE(stat.ok());

    stat = db_->DescribeCollection(collection_info);
    ASSERT_FALSE(stat.ok());

    stat = db_->UpdateCollectionFlag(COLLECTION_NAME, 0);
    ASSERT_FALSE(stat.ok());

    stat = db_->CreatePartition(COLLECTION_NAME, "part0", "0");
    ASSERT_FALSE(stat.ok());

    stat = db_->DropPartition("part0");
    ASSERT_FALSE(stat.ok());

    stat = db_->DropPartitionByTag(COLLECTION_NAME, "0");
    ASSERT_FALSE(stat.ok());

    std::vector<milvus::engine::meta::CollectionSchema> partition_schema_array;
    stat = db_->ShowPartitions(COLLECTION_NAME, partition_schema_array);
    ASSERT_FALSE(stat.ok());

    std::vector<milvus::engine::meta::CollectionSchema> collection_infos;
    stat = db_->AllCollections(collection_infos);
    ASSERT_EQ(stat.code(), milvus::DB_ERROR);

    bool has_collection = false;
    stat = db_->HasCollection(collection_info.collection_id_, has_collection);
    ASSERT_FALSE(stat.ok());

    milvus::engine::VectorsData xb;
    stat = db_->InsertVectors(collection_info.collection_id_, "", xb);
    ASSERT_FALSE(stat.ok());

    stat = db_->Flush();
    ASSERT_FALSE(stat.ok());

    stat = db_->DeleteVector(collection_info.collection_id_, 0);
    ASSERT_FALSE(stat.ok());

    milvus::engine::IDNumbers ids_to_delete{0};
    stat = db_->DeleteVectors(collection_info.collection_id_, ids_to_delete);
    ASSERT_FALSE(stat.ok());

    stat = db_->Compact(dummy_context_, collection_info.collection_id_);
    ASSERT_FALSE(stat.ok());

    std::vector<milvus::engine::VectorsData> vectors;
    std::vector<int64_t> id_array = {0};
    stat = db_->GetVectorsByID(collection_info, id_array, vectors);
    ASSERT_FALSE(stat.ok());

    stat = db_->PreloadCollection(dummy_context_, collection_info.collection_id_);
    ASSERT_FALSE(stat.ok());

    uint64_t row_count = 0;
    stat = db_->GetCollectionRowCount(collection_info.collection_id_, row_count);
    ASSERT_FALSE(stat.ok());

    milvus::engine::CollectionIndex index;
    stat = db_->CreateIndex(dummy_context_, collection_info.collection_id_, index);
    ASSERT_FALSE(stat.ok());

    stat = db_->DescribeIndex(collection_info.collection_id_, index);
    ASSERT_FALSE(stat.ok());

    stat = db_->DropIndex(COLLECTION_NAME);
    ASSERT_FALSE(stat.ok());

    std::vector<std::string> tags;
    milvus::engine::ResultIds result_ids;
    milvus::engine::ResultDistances result_distances;
    milvus::json json_params = {{"nprobe", 1}};
    stat = db_->Query(dummy_context_,
            collection_info.collection_id_, tags, 1, json_params, xb, result_ids, result_distances);
    ASSERT_FALSE(stat.ok());
    std::vector<std::string> file_ids;
    stat = db_->QueryByFileID(dummy_context_,
                              file_ids,
                              1,
                              json_params,
                              xb,
                              result_ids,
                              result_distances);
    ASSERT_FALSE(stat.ok());

    stat = db_->Query(dummy_context_,
                      collection_info.collection_id_,
                      tags,
                      1,
                      json_params,
                      milvus::engine::VectorsData(),
                      result_ids,
                      result_distances);
    ASSERT_FALSE(stat.ok());

    stat = db_->DropCollection(collection_info.collection_id_);
    ASSERT_FALSE(stat.ok());
}

TEST_F(DBTest, BACK_TIMER_THREAD_1) {
    fiu_init(0);
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    milvus::Status stat;
    // test background timer thread
    {
        FIU_ENABLE_FIU("DBImpl.StartMetricTask.InvalidTotalCache");
        FIU_ENABLE_FIU("SqliteMetaImpl.FilesToMerge.throw_exception");
        stat = db_->CreateCollection(collection_info);
        ASSERT_TRUE(stat.ok());

        // insert some vector to create some collection files
        int loop = 10;
        for (auto i = 0; i < loop; ++i) {
            int64_t nb = VECTOR_COUNT;
            milvus::engine::VectorsData xb;
            BuildVectors(nb, i, xb);
            db_->InsertVectors(COLLECTION_NAME, "", xb);
            ASSERT_EQ(xb.id_array_.size(), nb);
        }

        db_->Stop();
        fiu_disable("DBImpl.StartMetricTask.InvalidTotalCache");
        fiu_disable("SqliteMetaImpl.FilesToMerge.throw_exception");
    }

    FIU_ENABLE_FIU("DBImpl.StartMetricTask.InvalidTotalCache");
    db_->Start();
    db_->Stop();
    fiu_disable("DBImpl.StartMetricTask.InvalidTotalCache");

    FIU_ENABLE_FIU("options_metric_enable");
    db_->Start();
    db_->Stop();
    fiu_disable("options_metric_enable");
}

TEST_F(DBTest, BACK_TIMER_THREAD_2) {
    fiu_init(0);
    milvus::Status stat;
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();

    stat = db_->CreateCollection(collection_info);
    ASSERT_TRUE(stat.ok());

    // insert some vector to create some collection files
    int loop = 10;
    for (auto i = 0; i < loop; ++i) {
        int64_t nb = VECTOR_COUNT;
        milvus::engine::VectorsData xb;
        BuildVectors(nb, i, xb);
        db_->InsertVectors(COLLECTION_NAME, "", xb);
        ASSERT_EQ(xb.id_array_.size(), nb);
    }

    FIU_ENABLE_FIU("SqliteMetaImpl.CreateCollectionFile.throw_exception");
    db_->Stop();
    fiu_disable("SqliteMetaImpl.CreateCollectionFile.throw_exception");
}

TEST_F(DBTest, BACK_TIMER_THREAD_3) {
    fiu_init(0);
    milvus::Status stat;
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();

    stat = db_->CreateCollection(collection_info);
    ASSERT_TRUE(stat.ok());

    // insert some vector to create some collection files
    int loop = 10;
    for (auto i = 0; i < loop; ++i) {
        int64_t nb = VECTOR_COUNT;
        milvus::engine::VectorsData xb;
        BuildVectors(nb, i, xb);
        db_->InsertVectors(COLLECTION_NAME, "", xb);
        ASSERT_EQ(xb.id_array_.size(), nb);
    }

    FIU_ENABLE_FIU("DBImpl.MergeFiles.Serialize_ThrowException");
    db_->Start();
    db_->Stop();
    fiu_disable("DBImpl.MergeFiles.Serialize_ThrowException");
}

TEST_F(DBTest, BACK_TIMER_THREAD_4) {
    fiu_init(0);
    milvus::Status stat;
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();

    stat = db_->CreateCollection(collection_info);
    ASSERT_TRUE(stat.ok());

    // insert some vector to create some collection files
    int loop = 10;
    for (auto i = 0; i < loop; ++i) {
        int64_t nb = VECTOR_COUNT;
        milvus::engine::VectorsData xb;
        BuildVectors(nb, i, xb);
        db_->InsertVectors(COLLECTION_NAME, "", xb);
        ASSERT_EQ(xb.id_array_.size(), nb);
    }

    FIU_ENABLE_FIU("DBImpl.MergeFiles.Serialize_ErrorStatus");
    db_->Start();
    db_->Stop();
    fiu_disable("DBImpl.MergeFiles.Serialize_ErrorStatus");
}

TEST_F(DBTest, INDEX_TEST) {
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);

    uint64_t nb = VECTOR_COUNT;
    milvus::engine::VectorsData xb;
    BuildVectors(nb, 0, xb);

    db_->InsertVectors(COLLECTION_NAME, "", xb);
    ASSERT_EQ(xb.id_array_.size(), nb);

    milvus::engine::CollectionIndex index;
    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8;
    index.metric_type_ = (int)milvus::engine::MetricType::IP;
    stat = db_->CreateIndex(dummy_context_, collection_info.collection_id_, index);
    ASSERT_TRUE(stat.ok());

    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFFLAT;
    stat = db_->CreateIndex(dummy_context_, collection_info.collection_id_, index);
    ASSERT_TRUE(stat.ok());

    fiu_init(0);
    FIU_ENABLE_FIU("SqliteMetaImpl.DescribeCollectionIndex.throw_exception");
    stat = db_->CreateIndex(dummy_context_, collection_info.collection_id_, index);
    ASSERT_FALSE(stat.ok());
    fiu_disable("SqliteMetaImpl.DescribeCollectionIndex.throw_exception");

    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_PQ;
    FIU_ENABLE_FIU("DBImpl.UpdateCollectionIndexRecursively.fail_update_collection_index");
    stat = db_->CreateIndex(dummy_context_, collection_info.collection_id_, index);
    ASSERT_FALSE(stat.ok());
    fiu_disable("DBImpl.UpdateCollectionIndexRecursively.fail_update_collection_index");

#ifdef MILVUS_GPU_VERSION
    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8H;
    stat = db_->CreateIndex(dummy_context_, collection_info.collection_id_, index);
    ASSERT_TRUE(stat.ok());
#endif

    milvus::engine::CollectionIndex index_out;
    stat = db_->DescribeIndex(collection_info.collection_id_, index_out);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(index.engine_type_, index_out.engine_type_);
    ASSERT_EQ(index.extra_params_, index_out.extra_params_);
    ASSERT_EQ(collection_info.metric_type_, index_out.metric_type_);

    stat = db_->DropIndex(collection_info.collection_id_);
    ASSERT_TRUE(stat.ok());
}

TEST_F(DBTest, PARTITION_TEST) {
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);
    ASSERT_TRUE(stat.ok());

    // create partition and insert data
    const int64_t PARTITION_COUNT = 5;
    const int64_t INSERT_BATCH = 2000;
    std::string collection_name = COLLECTION_NAME;
    for (int64_t i = 0; i < PARTITION_COUNT; i++) {
        std::string partition_tag = std::to_string(i);
        std::string partition_name = collection_name + "_" + partition_tag;
        stat = db_->CreatePartition(collection_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(collection_name, partition_name, partition_tag);
        ASSERT_FALSE(stat.ok());

        milvus::engine::VectorsData xb;
        BuildVectors(INSERT_BATCH, i, 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(collection_name, partition_tag, xb);
        ASSERT_EQ(vector_ids.size(), INSERT_BATCH);

        // insert data into not existed partition
        stat = db_->InsertVectors(COLLECTION_NAME, "notexist", xb);
        ASSERT_FALSE(stat.ok());
    }

    // duplicated partition is not allowed
    stat = db_->CreatePartition(collection_name, "", "0");
    ASSERT_FALSE(stat.ok());

    std::vector<milvus::engine::meta::CollectionSchema> partition_schema_array;
    stat = db_->ShowPartitions(collection_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].collection_id_, collection_name + "_" + std::to_string(i));
    }

    // check collection existence
    std::string special_part = "special";
    stat = db_->CreatePartition(collection_name, special_part, special_part);
    ASSERT_TRUE(stat.ok());
    bool has_collection = false;
    stat = db_->HasNativeCollection(special_part, has_collection);
    ASSERT_FALSE(has_collection);
    stat = db_->HasCollection(special_part, has_collection);
    ASSERT_TRUE(has_collection);

    {  // build index
        milvus::engine::CollectionIndex index;
        index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFFLAT;
        index.metric_type_ = (int)milvus::engine::MetricType::L2;
        stat = db_->CreateIndex(dummy_context_, collection_info.collection_id_, index);
        ASSERT_TRUE(stat.ok());

        fiu_init(0);
        FIU_ENABLE_FIU("DBImpl.WaitCollectionIndexRecursively.fail_build_collection_Index_for_partition");
        stat = db_->CreateIndex(dummy_context_, collection_info.collection_id_, index);
        ASSERT_FALSE(stat.ok());
        fiu_disable("DBImpl.WaitCollectionIndexRecursively.fail_build_collection_Index_for_partition");

        FIU_ENABLE_FIU("DBImpl.WaitCollectionIndexRecursively.not_empty_err_msg");
        stat = db_->CreateIndex(dummy_context_, collection_info.collection_id_, index);
        ASSERT_FALSE(stat.ok());
        fiu_disable("DBImpl.WaitCollectionIndexRecursively.not_empty_err_msg");

        uint64_t row_count = 0;
        stat = db_->GetCollectionRowCount(COLLECTION_NAME, row_count);
        ASSERT_TRUE(stat.ok());
        ASSERT_EQ(row_count, INSERT_BATCH * PARTITION_COUNT);

        FIU_ENABLE_FIU("SqliteMetaImpl.Count.throw_exception");
        stat = db_->GetCollectionRowCount(COLLECTION_NAME, row_count);
        ASSERT_FALSE(stat.ok());
        fiu_disable("SqliteMetaImpl.Count.throw_exception");

        FIU_ENABLE_FIU("DBImpl.GetCollectionRowCountRecursively.fail_get_collection_rowcount_for_partition");
        stat = db_->GetCollectionRowCount(COLLECTION_NAME, row_count);
        ASSERT_FALSE(stat.ok());
        fiu_disable("DBImpl.GetCollectionRowCountRecursively.fail_get_collection_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, 0, 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;
        milvus::json json_params = {{"nprobe", nprobe}};

        stat = db_->Query(dummy_context_, COLLECTION_NAME, tags, topk, json_params, xq, result_ids, result_distances);
        ASSERT_TRUE(stat.ok());
        ASSERT_EQ(result_ids.size() / topk, nq);

        // search in whole collection
        tags.clear();
        result_ids.clear();
        result_distances.clear();
        stat = db_->Query(dummy_context_, COLLECTION_NAME, tags, topk, json_params, 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_, COLLECTION_NAME, tags, topk, json_params, xq, result_ids, result_distances);
        ASSERT_TRUE(stat.ok());
        ASSERT_EQ(result_ids.size() / topk, nq);
    }

    stat = db_->DropPartition(collection_name + "_0");
    ASSERT_TRUE(stat.ok());

    stat = db_->DropPartitionByTag(collection_name, "1");
    ASSERT_TRUE(stat.ok());

    FIU_ENABLE_FIU("DBImpl.DropCollectionIndexRecursively.fail_drop_collection_Index_for_partition");
    stat = db_->DropIndex(collection_info.collection_id_);
    ASSERT_FALSE(stat.ok());
    fiu_disable("DBImpl.DropCollectionIndexRecursively.fail_drop_collection_Index_for_partition");

    FIU_ENABLE_FIU("DBImpl.DropCollectionIndexRecursively.fail_drop_collection_Index_for_partition");
    stat = db_->DropIndex(collection_info.collection_id_);
    ASSERT_FALSE(stat.ok());
    fiu_disable("DBImpl.DropCollectionIndexRecursively.fail_drop_collection_Index_for_partition");

    stat = db_->DropIndex(collection_name);
    ASSERT_TRUE(stat.ok());

    stat = db_->DropCollection(collection_name);
    ASSERT_TRUE(stat.ok());
}

TEST_F(DBTest2, ARHIVE_DISK_CHECK) {
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);

    std::vector<milvus::engine::meta::CollectionSchema> collection_schema_array;
    stat = db_->AllCollections(collection_schema_array);
    ASSERT_TRUE(stat.ok());
    bool bfound = false;
    for (auto& schema : collection_schema_array) {
        if (schema.collection_id_ == COLLECTION_NAME) {
            bfound = true;
            break;
        }
    }
    ASSERT_TRUE(bfound);

    milvus::engine::meta::CollectionSchema collection_info_get;
    collection_info_get.collection_id_ = COLLECTION_NAME;
    stat = db_->DescribeCollection(collection_info_get);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(collection_info_get.dimension_, COLLECTION_DIM);

    uint64_t size;
    db_->Size(size);

    int loop = INSERT_LOOP;
    for (auto i = 0; i < loop; ++i) {
        uint64_t nb = 10;
        milvus::engine::VectorsData xb;
        BuildVectors(nb, i, xb);

        db_->InsertVectors(COLLECTION_NAME, "", xb);
    }

    db_->Flush();
    db_->Size(size);
    LOG(DEBUG) << "size=" << size;
    ASSERT_LE(size, 1 * milvus::engine::GB);
}

TEST_F(DBTest2, DELETE_TEST) {
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);

    milvus::engine::meta::CollectionSchema collection_info_get;
    collection_info_get.collection_id_ = COLLECTION_NAME;
    stat = db_->DescribeCollection(collection_info_get);
    ASSERT_TRUE(stat.ok());

    bool has_collection = false;
    db_->HasCollection(COLLECTION_NAME, has_collection);
    ASSERT_TRUE(has_collection);

    uint64_t size;
    db_->Size(size);

    uint64_t nb = VECTOR_COUNT;
    milvus::engine::VectorsData xb;
    BuildVectors(nb, 0, xb);

    milvus::engine::IDNumbers vector_ids;
    stat = db_->InsertVectors(COLLECTION_NAME, "", xb);
    milvus::engine::CollectionIndex index;
    stat = db_->CreateIndex(dummy_context_, COLLECTION_NAME, index);

    // create partition, drop collection will drop partition recursively
    stat = db_->CreatePartition(COLLECTION_NAME, "part0", "0");
    ASSERT_TRUE(stat.ok());

    // fail drop collection
    fiu_init(0);

    stat = db_->DropCollection(COLLECTION_NAME);
    ASSERT_TRUE(stat.ok());

    db_->HasCollection(COLLECTION_NAME, has_collection);
    ASSERT_FALSE(has_collection);
}

TEST_F(DBTest2, SHOW_COLLECTION_INFO_TEST) {
    std::string collection_name = COLLECTION_NAME;
    milvus::engine::meta::CollectionSchema collection_schema = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_schema);

    uint64_t nb = VECTOR_COUNT;
    milvus::engine::VectorsData xb;
    BuildVectors(nb, 0, xb);

    milvus::engine::IDNumbers vector_ids;
    stat = db_->InsertVectors(collection_name, "", xb);

    // create partition and insert data
    const int64_t PARTITION_COUNT = 2;
    const int64_t INSERT_BATCH = 2000;
    for (int64_t i = 0; i < PARTITION_COUNT; i++) {
        std::string partition_tag = std::to_string(i);
        std::string partition_name = collection_name + "_" + partition_tag;
        stat = db_->CreatePartition(collection_name, partition_name, partition_tag);
        ASSERT_TRUE(stat.ok());

        milvus::engine::VectorsData xb;
        BuildVectors(INSERT_BATCH, i, xb);

        db_->InsertVectors(collection_name, partition_tag, xb);
    }

    stat = db_->Flush();
    ASSERT_TRUE(stat.ok());

    {
        std::string collection_info;
        stat = db_->GetCollectionInfo(collection_name, collection_info);
        ASSERT_TRUE(stat.ok());
        int64_t row_count = 0;

        nlohmann::json json_info = nlohmann::json::parse(collection_info);
//        for (auto& part : collection_info.partitions_stat_) {
//            row_count = 0;
//            for (auto& stat : part.segments_stat_) {
//                row_count += stat.row_count_;
//                ASSERT_EQ(stat.index_name_, "IDMAP");
//                ASSERT_GT(stat.data_size_, 0);
//            }
//            if (part.tag_ == milvus::engine::DEFAULT_PARTITON_TAG) {
//                ASSERT_EQ(row_count, VECTOR_COUNT);
//            } else {
//                ASSERT_EQ(row_count, INSERT_BATCH);
//            }
//        }
    }
}

TEST_F(DBTestWAL, DB_INSERT_TEST) {
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);
    ASSERT_TRUE(stat.ok());

    uint64_t qb = 100;
    milvus::engine::VectorsData qxb;
    BuildVectors(qb, 0, qxb);

    std::string partition_name = "part_name";
    std::string partition_tag = "part_tag";
    stat = db_->CreatePartition(collection_info.collection_id_, partition_name, partition_tag);
    ASSERT_TRUE(stat.ok());

    stat = db_->InsertVectors(collection_info.collection_id_, partition_tag, qxb);
    ASSERT_TRUE(stat.ok());

    stat = db_->InsertVectors(collection_info.collection_id_, "", qxb);
    ASSERT_TRUE(stat.ok());

    stat = db_->InsertVectors(collection_info.collection_id_, "not exist", qxb);
    ASSERT_FALSE(stat.ok());

    db_->Flush(collection_info.collection_id_);

    stat = db_->DropCollection(collection_info.collection_id_);
    ASSERT_TRUE(stat.ok());
}

TEST_F(DBTestWAL, DB_STOP_TEST) {
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);
    ASSERT_TRUE(stat.ok());

    uint64_t qb = 100;
    for (int i = 0; i < 5; i++) {
        milvus::engine::VectorsData qxb;
        BuildVectors(qb, i, qxb);
        stat = db_->InsertVectors(collection_info.collection_id_, "", qxb);
        ASSERT_TRUE(stat.ok());
    }

    db_->Stop();
    db_->Start();

    const int64_t topk = 10;
    const int64_t nprobe = 10;
    milvus::json json_params = {{"nprobe", nprobe}};
    milvus::engine::ResultIds result_ids;
    milvus::engine::ResultDistances result_distances;
    milvus::engine::VectorsData qxb;
    BuildVectors(qb, 0, qxb);
    stat = db_->Query(dummy_context_,
            collection_info.collection_id_, {}, topk, json_params, qxb, result_ids, result_distances);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(result_ids.size() / topk, qb);

    stat = db_->DropCollection(collection_info.collection_id_);
    ASSERT_TRUE(stat.ok());
}

TEST_F(DBTestWALRecovery, RECOVERY_WITH_NO_ERROR) {
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);
    ASSERT_TRUE(stat.ok());

    uint64_t qb = 100;

    for (int i = 0; i < 5; i++) {
        milvus::engine::VectorsData qxb;
        BuildVectors(qb, i, qxb);
        stat = db_->InsertVectors(collection_info.collection_id_, "", qxb);
        ASSERT_TRUE(stat.ok());
    }

    const int64_t topk = 10;
    const int64_t nprobe = 10;
    milvus::json json_params = {{"nprobe", nprobe}};
    milvus::engine::ResultIds result_ids;
    milvus::engine::ResultDistances result_distances;
    milvus::engine::VectorsData qxb;
    BuildVectors(qb, 0, qxb);

    fiu_init(0);
    fiu_enable("DBImpl.ExexWalRecord.return", 1, nullptr, 0);
    db_ = nullptr; // don't use FreeDB(), this case needs keep the meta
    fiu_disable("DBImpl.ExexWalRecord.return");
    auto options = GetOptions();
    BuildDB(options);

    result_ids.clear();
    result_distances.clear();
    stat = db_->Query(dummy_context_,
            collection_info.collection_id_, {}, topk, json_params, qxb, result_ids, result_distances);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(result_ids.size(), 0);

    db_->Flush();
    result_ids.clear();
    result_distances.clear();
    stat = db_->Query(dummy_context_,
            collection_info.collection_id_, {}, topk, json_params, qxb, result_ids, result_distances);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(result_ids.size() / topk, qb);
}

TEST_F(DBTestWALRecovery_Error, RECOVERY_WITH_INVALID_LOG_FILE) {
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);
    ASSERT_TRUE(stat.ok());

    uint64_t qb = 100;
    milvus::engine::VectorsData qxb;
    BuildVectors(qb, 0, qxb);

    stat = db_->InsertVectors(collection_info.collection_id_, "", qxb);
    ASSERT_TRUE(stat.ok());

    fiu_init(0);
    fiu_enable("DBImpl.ExexWalRecord.return", 1, nullptr, 0);
    FreeDB();
    fiu_disable("DBImpl.ExexWalRecord.return");

    auto options = GetOptions();
    // delete wal log file so that recovery will failed when start db next time.
    boost::filesystem::remove(options.mxlog_path_ + "0.wal");
    ASSERT_ANY_THROW(BuildDB(options));
}

TEST_F(DBTest2, FLUSH_NON_EXISTING_COLLECTION) {
    auto status = db_->Flush("non_existing");
    ASSERT_FALSE(status.ok());
}

TEST_F(DBTest2, GET_VECTOR_NON_EXISTING_COLLECTION) {
    std::vector<milvus::engine::VectorsData> vectors;
    std::vector<int64_t> id_array = {0};
    milvus::engine::meta::CollectionSchema collection_info;
    collection_info.collection_id_ = "non_existing";
    auto status = db_->GetVectorsByID(collection_info, id_array, vectors);
    ASSERT_FALSE(status.ok());
}

TEST_F(DBTest2, GET_VECTOR_BY_ID_TEST) {
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);
    ASSERT_TRUE(stat.ok());

    uint64_t qb = 1000;
    milvus::engine::VectorsData qxb;
    BuildVectors(qb, 0, qxb);

    std::string partition_name = "part_name";
    std::string partition_tag = "part_tag";
    stat = db_->CreatePartition(collection_info.collection_id_, partition_name, partition_tag);
    ASSERT_TRUE(stat.ok());

    std::vector<milvus::engine::VectorsData> vectors;
    std::vector<int64_t> empty_array;
    stat = db_->GetVectorsByID(collection_info, empty_array, vectors);
    ASSERT_FALSE(stat.ok());

    stat = db_->InsertVectors(collection_info.collection_id_, partition_tag, qxb);
    ASSERT_TRUE(stat.ok());

    db_->Flush(collection_info.collection_id_);

    stat = db_->GetVectorsByID(collection_info, qxb.id_array_, vectors);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(vectors.size(), qxb.id_array_.size());
    ASSERT_EQ(vectors[0].float_data_.size(), COLLECTION_DIM);

    for (int64_t i = 0; i < COLLECTION_DIM; i++) {
        ASSERT_FLOAT_EQ(vectors[0].float_data_[i], qxb.float_data_[i]);
    }

    std::vector<int64_t> invalid_array = {-1, -1};
    stat = db_->GetVectorsByID(collection_info, empty_array, vectors);
    ASSERT_TRUE(stat.ok());
    for (auto& vector : vectors) {
        ASSERT_EQ(vector.vector_count_, 0);
        ASSERT_TRUE(vector.float_data_.empty());
        ASSERT_TRUE(vector.binary_data_.empty());
    }
}

TEST_F(DBTest2, GET_VECTOR_BY_ID_INVALID_TEST) {
    fiu_init(0);

    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_info);
    ASSERT_TRUE(stat.ok());

    uint64_t qb = 1000;
    milvus::engine::VectorsData qxb;
    BuildVectors(qb, 0, qxb);

    std::string partition_name = "part_name";
    std::string partition_tag = "part_tag";
    stat = db_->CreatePartition(collection_info.collection_id_, partition_name, partition_tag);
    ASSERT_TRUE(stat.ok());

    std::vector<milvus::engine::VectorsData> vectors;
    std::vector<int64_t> empty_array;
    stat = db_->GetVectorsByID(collection_info, empty_array, vectors);
    ASSERT_FALSE(stat.ok());

    stat = db_->InsertVectors(collection_info.collection_id_, partition_tag, qxb);
    ASSERT_TRUE(stat.ok());

    db_->Flush(collection_info.collection_id_);

    fiu_enable("bloom_filter_nullptr", 1, NULL, 0);
    stat = db_->GetVectorsByID(collection_info, qxb.id_array_, vectors);
    ASSERT_FALSE(stat.ok());
    fiu_disable("bloom_filter_nullptr");
}

TEST_F(DBTest2, GET_VECTOR_IDS_TEST) {
    milvus::engine::meta::CollectionSchema collection_schema = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_schema);
    ASSERT_TRUE(stat.ok());

    uint64_t BATCH_COUNT = 1000;
    milvus::engine::VectorsData vector_1;
    BuildVectors(BATCH_COUNT, 0, vector_1);

    stat = db_->InsertVectors(COLLECTION_NAME, "", vector_1);
    ASSERT_TRUE(stat.ok());

    std::string partition_tag = "part_tag";
    stat = db_->CreatePartition(COLLECTION_NAME, "", partition_tag);
    ASSERT_TRUE(stat.ok());

    milvus::engine::VectorsData vector_2;
    BuildVectors(BATCH_COUNT, 1, vector_2);
    stat = db_->InsertVectors(COLLECTION_NAME, partition_tag, vector_2);
    ASSERT_TRUE(stat.ok());

    db_->Flush();

    std::string collection_info;
    stat = db_->GetCollectionInfo(COLLECTION_NAME, collection_info);
    ASSERT_TRUE(stat.ok());
    ASSERT_FALSE(collection_info.empty());

    auto json = nlohmann::json::parse(collection_info);
    std::string default_segment = json["partitions"].at(0)["segments"].at(0)["name"];
    std::string partition_segment = json["partitions"].at(1)["segments"].at(0)["name"];

    milvus::engine::IDNumbers vector_ids;
    stat = db_->GetVectorIDs(COLLECTION_NAME, default_segment, vector_ids);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(vector_ids.size(), BATCH_COUNT);

    stat = db_->GetVectorIDs(COLLECTION_NAME, partition_segment, vector_ids);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(vector_ids.size(), BATCH_COUNT);

    milvus::engine::IDNumbers ids_to_delete{0, 100, 999, 1000, 1500, 1888, 1999};
    stat = db_->DeleteVectors(COLLECTION_NAME, ids_to_delete);
    ASSERT_TRUE(stat.ok());

    db_->Flush();

    stat = db_->GetVectorIDs(COLLECTION_NAME, default_segment, vector_ids);
    ASSERT_TRUE(stat.ok());
    ASSERT_EQ(vector_ids.size(), BATCH_COUNT - 3);

    stat = db_->GetVectorIDs(COLLECTION_NAME, partition_segment, vector_ids);
    ASSERT_TRUE(stat.ok());
    //    ASSERT_EQ(vector_ids.size(), BATCH_COUNT - 4);
}

TEST_F(DBTest2, INSERT_DUPLICATE_ID) {
    auto options = GetOptions();
    options.wal_enable_ = false;
    BuildDB(options);

    milvus::engine::meta::CollectionSchema collection_schema = BuildCollectionSchema();
    auto stat = db_->CreateCollection(collection_schema);
    ASSERT_TRUE(stat.ok());

    uint64_t size = 20;
    milvus::engine::VectorsData vector;
    BuildVectors(size, 0, vector);
    vector.id_array_.clear();
    for (int i = 0; i < size; ++i) {
        vector.id_array_.emplace_back(0);
    }

    stat = db_->InsertVectors(COLLECTION_NAME, "", vector);
    ASSERT_TRUE(stat.ok());

    stat = db_->Flush(COLLECTION_NAME);
    ASSERT_TRUE(stat.ok());
}

/*
TEST_F(DBTest2, SEARCH_WITH_DIFFERENT_INDEX) {
    milvus::engine::meta::CollectionSchema collection_info = BuildCollectionSchema();
    // collection_info.index_file_size_ = 1 * milvus::engine::M;
    auto stat = db_->CreateCollection(collection_info);

    int loop = 10;
    uint64_t nb = 100000;
    for (auto i = 0; i < loop; ++i) {
        milvus::engine::VectorsData xb;
        BuildVectors(nb, i, xb);

        db_->InsertVectors(COLLECTION_NAME, "", xb);
        stat = db_->Flush();
        ASSERT_TRUE(stat.ok());
    }

    std::random_device rd;
    std::mt19937 gen(rd());
    std::uniform_int_distribution<int64_t> dis(0, nb * loop - 1);

    int64_t num_query = 10;
    std::vector<int64_t> ids_to_search;
    for (int64_t i = 0; i < num_query; ++i) {
        int64_t index = dis(gen);
        ids_to_search.emplace_back(index);
    }

    milvus::engine::CollectionIndex index;
    // index.metric_type_ = (int)milvus::engine::MetricType::IP;
    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFFLAT;
    stat = db_->CreateIndex(dummy_context_, collection_info.collection_id_, index);
    ASSERT_TRUE(stat.ok());

    stat = db_->PreloadCollection(dummy_context_, collection_info.collection_id_);
    ASSERT_TRUE(stat.ok());

    int topk = 10, nprobe = 10;
    milvus::json json_params = {{"nprobe", nprobe}};

    for (auto id : ids_to_search) {
        //        std::cout << "xxxxxxxxxxxxxxxxxxxx " << i << std::endl;
        std::vector<std::string> tags;
        milvus::engine::ResultIds result_ids;
        milvus::engine::ResultDistances result_distances;

        stat = db_->QueryByID(dummy_context_, collection_info.collection_id_, tags, topk, json_params, id, result_ids,
result_distances);
        ASSERT_TRUE(stat.ok());
        ASSERT_EQ(result_ids[0], id);
        ASSERT_LT(result_distances[0], 1e-4);
    }

    db_->DropIndex(collection_info.collection_id_);

    index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8;
    stat = db_->CreateIndex(dummy_context_, collection_info.collection_id_, index);
    ASSERT_TRUE(stat.ok());

    stat = db_->PreloadCollection(dummy_context_, collection_info.collection_id_);
    ASSERT_TRUE(stat.ok());

    for (auto id : ids_to_search) {
        //        std::cout << "xxxxxxxxxxxxxxxxxxxx " << i << std::endl;
        std::vector<std::string> tags;
        milvus::engine::ResultIds result_ids;
        milvus::engine::ResultDistances result_distances;

        stat = db_->QueryByID(dummy_context_, collection_info.collection_id_, tags, topk, json_params, id, result_ids,
result_distances);
        ASSERT_TRUE(stat.ok());
        ASSERT_EQ(result_ids[0], id);
        ASSERT_LT(result_distances[0], 1e-4);
    }
}
 */