diff --git a/core/src/index/knowhere/knowhere/index/vector_offset_index/IndexHNSW_SQ8NR.cpp b/core/src/index/knowhere/knowhere/index/vector_offset_index/IndexHNSW_SQ8NR.cpp
index 3f09cd953dcf6862127ce3e04d78e1e39bc4e0e7..5b34701e7d5781c1e2555c436992e0667a34903a 100644
--- a/core/src/index/knowhere/knowhere/index/vector_offset_index/IndexHNSW_SQ8NR.cpp
+++ b/core/src/index/knowhere/knowhere/index/vector_offset_index/IndexHNSW_SQ8NR.cpp
@@ -64,6 +64,7 @@ IndexHNSW_SQ8NR::Load(const BinarySet& index_binary) {
         normalize = (index_->metric_type_ == 1);  // 1 == InnerProduct
 
         data_ = index_binary.GetByName(SQ8_DATA)->data;
+        index_->SetSq8((float*)(data_.get() + Dim() * Count()));
     } catch (std::exception& e) {
         KNOWHERE_THROW_MSG(e.what());
     }
@@ -84,7 +85,6 @@ IndexHNSW_SQ8NR::Train(const DatasetPtr& dataset_ptr, const Config& config) {
         index_ = std::make_shared<hnswlib_nm::HierarchicalNSW_NM<float>>(
             space, rows, config[IndexParams::M].get<int64_t>(), config[IndexParams::efConstruction].get<int64_t>());
         auto data_space = new uint8_t[dim * (rows + 2 * sizeof(float))];
-        index_->SetSq8(true);
         index_->sq_train(rows, (const float*)p_data, data_space);
         data_ = std::shared_ptr<uint8_t[]>(data_space);
     } catch (std::exception& e) {
diff --git a/core/src/index/thirdparty/hnswlib/hnswalg_nm.h b/core/src/index/thirdparty/hnswlib/hnswalg_nm.h
index 1037873e5d1bfcdc10747ccf47f4a33189ad5f59..bc385a5491777edf992b1ee7042563941d2ec263 100644
--- a/core/src/index/thirdparty/hnswlib/hnswalg_nm.h
+++ b/core/src/index/thirdparty/hnswlib/hnswalg_nm.h
@@ -56,7 +56,6 @@ namespace hnswlib_nm {
 
             is_sq8_ = false;
             sq_ = nullptr;
-            sqdc_ = nullptr;
 
             level_generator_.seed(random_seed);
 
@@ -104,7 +103,6 @@ namespace hnswlib_nm {
             delete visited_list_pool_;
 
             if (sq_) delete sq_;
-            if (sqdc_) delete sqdc_;
 
             // linxj: delete
             delete space;
@@ -126,7 +124,6 @@ namespace hnswlib_nm {
 
         bool is_sq8_ = false;
         faiss::ScalarQuantizer *sq_ = nullptr;
-        faiss::SQDistanceComputer *sqdc_ = nullptr;
 
         double mult_, revSize_;
         int maxlevel_;
@@ -160,31 +157,27 @@ namespace hnswlib_nm {
             return ((char*)pdata + offset * data_size_);
         }
 
-        void SetSq8(bool set_sq8) {
-            is_sq8_ = set_sq8;
-            if (is_sq8_) {
-                sq_ = new faiss::ScalarQuantizer(*(size_t*)dist_func_param_, faiss::QuantizerType::QT_8bit); // hard code
-            }
+        void SetSq8(const float *trained) {
+            if (!trained)
+                throw std::runtime_error("trained sq8 data cannot be null in SetSq8!");
+            if (sq_) delete sq_;
+            is_sq8_ = true;
+            sq_ = new faiss::ScalarQuantizer(*(size_t*)dist_func_param_, faiss::QuantizerType::QT_8bit); // hard code
+            sq_->trained.resize((sq_->d) << 1);
+            memcpy(sq_->trained.data(), trained, sq_->trained.size() * sizeof(float));
         }
 
         void sq_train(size_t nb, const float *xb, uint8_t *p_codes) {
-            if (!is_sq8_) {
-                throw std::runtime_error("is_sq8 should be set true by interface SetSq8(true) before you  invoke sq_train!");
-            }
-            if (!sq_) {
-                sq_ = new faiss::ScalarQuantizer(*(size_t*)dist_func_param_, faiss::QuantizerType::QT_8bit); // hard code
-            }
+            if (!p_codes)
+                throw std::runtime_error("p_codes cannot be null in sq_train!");
+            if (!xb)
+                throw std::runtime_error("base vector cannot be null in sq_train!");
+            if (sq_) delete sq_;
+            is_sq8_ = true;
+            sq_ = new faiss::ScalarQuantizer(*(size_t*)dist_func_param_, faiss::QuantizerType::QT_8bit); // hard code
             sq_->train(nb, xb);
             sq_->compute_codes(xb, p_codes, nb);
             memcpy(p_codes + *(size_t*)dist_func_param_ * nb, sq_->trained.data(), *(size_t*)dist_func_param_ * sizeof(float) * 2);
-            if (metric_type_ == 0) { // L2
-                sqdc_ = new DCClassL2(sq_->d, sq_->trained);
-            } else if (metric_type_ == 1) { // IP
-                sqdc_ = new DCClassIP(sq_->d, sq_->trained);
-            } else {
-                throw std::runtime_error("unsupported metric_type, it must be 0(L2) or 1(IP)!");
-            }
-            sqdc_->code_size = sq_->code_size;
         }
 
         int getRandomLevel(double reverse_size) {
@@ -282,9 +275,18 @@ namespace hnswlib_nm {
             vl_type *visited_array = vl->mass;
             vl_type visited_array_tag = vl->curV;
 
+            faiss::SQDistanceComputer *sqdc = nullptr;
             if (is_sq8_) {
-                sqdc_->codes = (uint8_t*)pdata;
-                sqdc_->set_query((const float*)data_point);
+                if (metric_type_ == 0) { // L2
+                    sqdc = new DCClassL2(sq_->d, sq_->trained);
+                } else if (metric_type_ == 1) { // IP
+                    sqdc = new DCClassIP(sq_->d, sq_->trained);
+                } else {
+                    throw std::runtime_error("unsupported metric_type, it must be 0(L2) or 1(IP)!");
+                }
+                sqdc->code_size = sq_->code_size;
+                sqdc->codes = (uint8_t*)pdata;
+                sqdc->set_query((const float*)data_point);
             }
 
             std::priority_queue<std::pair<dist_t, tableint>, std::vector<std::pair<dist_t, tableint>>, CompareByFirst> top_candidates;
@@ -295,7 +297,7 @@ namespace hnswlib_nm {
             if (!has_deletions || !bitset->test((faiss::ConcurrentBitset::id_type_t)(ep_id))) {
                 dist_t dist;
                 if (is_sq8_) {
-                    dist = (*sqdc_)(ep_id);
+                    dist = (*sqdc)(ep_id);
                 } else {
                     dist = fstdistfunc_(data_point, getDataByInternalId(pdata, ep_id), dist_func_param_);
                 }
@@ -345,7 +347,7 @@ namespace hnswlib_nm {
 
                         dist_t dist;
                         if (is_sq8_) {
-                            dist = (*sqdc_)(candidate_id);
+                            dist = (*sqdc)(candidate_id);
                         } else {
                             char *currObj1 = (getDataByInternalId(pdata, candidate_id));
                             dist = fstdistfunc_(data_point, currObj1, dist_func_param_);
@@ -373,6 +375,7 @@ namespace hnswlib_nm {
             }
 
             visited_list_pool_->releaseVisitedList(vl);
+            if (is_sq8_) delete sqdc;
             return top_candidates;
         }
 
@@ -1117,10 +1120,19 @@ namespace hnswlib_nm {
 
             tableint currObj = enterpoint_node_;
             dist_t curdist;
+            faiss::SQDistanceComputer *sqdc = nullptr;
             if (is_sq8_) {
-                sqdc_->set_query((const float*)query_data);
-                sqdc_->codes = (uint8_t*)pdata;
-                curdist = (*sqdc_)(currObj);
+                if (metric_type_ == 0) { // L2
+                    sqdc = new DCClassL2(sq_->d, sq_->trained);
+                } else if (metric_type_ == 1) { // IP
+                    sqdc = new DCClassIP(sq_->d, sq_->trained);
+                } else {
+                    throw std::runtime_error("unsupported metric_type, it must be 0(L2) or 1(IP)!");
+                }
+                sqdc->code_size = sq_->code_size;
+                sqdc->set_query((const float*)query_data);
+                sqdc->codes = (uint8_t*)pdata;
+                curdist = (*sqdc)(currObj);
             } else {
                 curdist = fstdistfunc_(query_data, getDataByInternalId(pdata, enterpoint_node_), dist_func_param_);
             }
@@ -1140,7 +1152,7 @@ namespace hnswlib_nm {
                             throw std::runtime_error("cand error");
                         dist_t d;
                         if (is_sq8_) {
-                            d = (*sqdc_)(cand);
+                            d = (*sqdc)(cand);
                         } else {
                             d = fstdistfunc_(query_data, getDataByInternalId(pdata, cand), dist_func_param_);
                         }
@@ -1174,6 +1186,7 @@ namespace hnswlib_nm {
                 result.push(std::pair<dist_t, labeltype>(rez.first, rez.second));
                 top_candidates.pop();
             }
+            if (is_sq8_) delete sqdc;
             return result;
         };
 
diff --git a/core/src/index/unittest/CMakeLists.txt b/core/src/index/unittest/CMakeLists.txt
index 69859f34f0b62d4256a43e4d83b8ad2e0c5e3d54..419b5516b9fb62cd3c516c81d209fd1f4392e7c9 100644
--- a/core/src/index/unittest/CMakeLists.txt
+++ b/core/src/index/unittest/CMakeLists.txt
@@ -192,6 +192,17 @@ endif ()
 target_link_libraries(test_hnsw ${depend_libs} ${unittest_libs} ${basic_libs})
 install(TARGETS test_hnsw DESTINATION unittest)
 
+################################################################################
+#<HNSWSQ8NR-TEST>
+set(hnsw_sq8nr_srcs
+        ${INDEX_SOURCE_DIR}/knowhere/knowhere/index/vector_offset_index/IndexHNSW_SQ8NR.cpp
+        )
+if (NOT TARGET test_hnsw_sq8nr)
+    add_executable(test_hnsw_sq8nr test_hnsw_sq8nr.cpp ${hnsw_sq8nr_srcs} ${util_srcs})
+endif ()
+target_link_libraries(test_hnsw_sq8nr ${depend_libs} ${unittest_libs} ${basic_libs})
+install(TARGETS test_hnsw_sq8nr DESTINATION unittest)
+
 ################################################################################
 #<SPTAG-TEST>
 if (MILVUS_SUPPORT_SPTAG)
diff --git a/core/src/index/unittest/test_hnsw_sq8nr.cpp b/core/src/index/unittest/test_hnsw_sq8nr.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..1fcd708576bcf9cac7552216cebdaf6be9735527
--- /dev/null
+++ b/core/src/index/unittest/test_hnsw_sq8nr.cpp
@@ -0,0 +1,304 @@
+// 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 <gtest/gtest.h>
+#include <knowhere/index/vector_offset_index/IndexHNSW_SQ8NR.h>
+#include <src/index/knowhere/knowhere/index/vector_index/helpers/IndexParameter.h>
+#include <iostream>
+#include <random>
+#include "knowhere/common/Exception.h"
+#include "unittest/utils.h"
+
+using ::testing::Combine;
+using ::testing::TestWithParam;
+using ::testing::Values;
+
+class HNSWSQ8NRTest : public DataGen, public TestWithParam<std::string> {
+ protected:
+    void
+    SetUp() override {
+        IndexType = GetParam();
+        std::cout << "IndexType from GetParam() is: " << IndexType << std::endl;
+        Generate(64, 10000, 10);  // dim = 64, nb = 10000, nq = 10
+                                  //        Generate(2, 10, 2);  // dim = 64, nb = 10000, nq = 10
+        index_ = std::make_shared<milvus::knowhere::IndexHNSW_SQ8NR>();
+        conf = milvus::knowhere::Config{
+            {milvus::knowhere::meta::DIM, 64},        {milvus::knowhere::meta::TOPK, 10},
+            {milvus::knowhere::IndexParams::M, 16},   {milvus::knowhere::IndexParams::efConstruction, 200},
+            {milvus::knowhere::IndexParams::ef, 200}, {milvus::knowhere::Metric::TYPE, milvus::knowhere::Metric::L2},
+        };
+        /*
+        conf = milvus::knowhere::Config{
+                {milvus::knowhere::meta::DIM, 2},        {milvus::knowhere::meta::TOPK, 2},
+                {milvus::knowhere::IndexParams::M, 2},   {milvus::knowhere::IndexParams::efConstruction, 4},
+                {milvus::knowhere::IndexParams::ef, 7}, {milvus::knowhere::Metric::TYPE, milvus::knowhere::Metric::L2},
+        };
+        */
+    }
+
+ protected:
+    milvus::knowhere::Config conf;
+    std::shared_ptr<milvus::knowhere::IndexHNSW_SQ8NR> index_ = nullptr;
+    std::string IndexType;
+};
+
+INSTANTIATE_TEST_CASE_P(HNSWParameters, HNSWSQ8NRTest, Values("HNSWSQ8NR"));
+
+TEST_P(HNSWSQ8NRTest, HNSW_basic) {
+    assert(!xb.empty());
+
+    // null faiss index
+    /*
+    {
+        ASSERT_ANY_THROW(index_->Serialize());
+        ASSERT_ANY_THROW(index_->Query(query_dataset, conf));
+        ASSERT_ANY_THROW(index_->Add(nullptr, conf));
+        ASSERT_ANY_THROW(index_->AddWithoutIds(nullptr, conf));
+        ASSERT_ANY_THROW(index_->Count());
+        ASSERT_ANY_THROW(index_->Dim());
+    }
+    */
+
+    index_->Train(base_dataset, conf);
+    index_->Add(base_dataset, conf);
+    EXPECT_EQ(index_->Count(), nb);
+    EXPECT_EQ(index_->Dim(), dim);
+
+    // Serialize and Load before Query
+    milvus::knowhere::BinarySet bs = index_->Serialize();
+
+    //    int64_t dim = base_dataset->Get<int64_t>(milvus::knowhere::meta::DIM);
+    //    int64_t rows = base_dataset->Get<int64_t>(milvus::knowhere::meta::ROWS);
+    //    auto raw_data = base_dataset->Get<const void*>(milvus::knowhere::meta::TENSOR);
+    //    milvus::knowhere::BinaryPtr bptr = std::make_shared<milvus::knowhere::Binary>();
+    //    bptr->data = std::shared_ptr<uint8_t[]>((uint8_t*)raw_data, [&](uint8_t*) {});
+    //    bptr->size = dim * rows * sizeof(float);
+    //    bs.Append(RAW_DATA, bptr);
+
+    index_->Load(bs);
+
+    auto result = index_->Query(query_dataset, conf);
+    AssertAnns(result, nq, k);
+}
+
+TEST_P(HNSWSQ8NRTest, HNSW_delete) {
+    assert(!xb.empty());
+
+    index_->Train(base_dataset, conf);
+    index_->Add(base_dataset, conf);
+    EXPECT_EQ(index_->Count(), nb);
+    EXPECT_EQ(index_->Dim(), dim);
+
+    faiss::ConcurrentBitsetPtr bitset = std::make_shared<faiss::ConcurrentBitset>(nb);
+    for (auto i = 0; i < nq; ++i) {
+        bitset->set(i);
+    }
+
+    // Serialize and Load before Query
+    milvus::knowhere::BinarySet bs = index_->Serialize();
+
+    //    int64_t dim = base_dataset->Get<int64_t>(milvus::knowhere::meta::DIM);
+    //    int64_t rows = base_dataset->Get<int64_t>(milvus::knowhere::meta::ROWS);
+    //    auto raw_data = base_dataset->Get<const void*>(milvus::knowhere::meta::TENSOR);
+    //    milvus::knowhere::BinaryPtr bptr = std::make_shared<milvus::knowhere::Binary>();
+    //    bptr->data = std::shared_ptr<uint8_t[]>((uint8_t*)raw_data, [&](uint8_t*) {});
+    //    bptr->size = dim * rows * sizeof(float);
+    //    bs.Append(RAW_DATA, bptr);
+
+    index_->Load(bs);
+
+    auto result1 = index_->Query(query_dataset, conf);
+    AssertAnns(result1, nq, k);
+
+    index_->SetBlacklist(bitset);
+    auto result2 = index_->Query(query_dataset, conf);
+    AssertAnns(result2, nq, k, CheckMode::CHECK_NOT_EQUAL);
+
+    /*
+     * delete result checked by eyes
+    auto ids1 = result1->Get<int64_t*>(milvus::knowhere::meta::IDS);
+    auto ids2 = result2->Get<int64_t*>(milvus::knowhere::meta::IDS);
+    std::cout << std::endl;
+    for (int i = 0; i < nq; ++ i) {
+        std::cout << "ids1: ";
+        for (int j = 0; j < k; ++ j) {
+            std::cout << *(ids1 + i * k + j) << " ";
+        }
+        std::cout << "ids2: ";
+        for (int j = 0; j < k; ++ j) {
+            std::cout << *(ids2 + i * k + j) << " ";
+        }
+        std::cout << std::endl;
+        for (int j = 0; j < std::min(5, k>>1); ++ j) {
+            ASSERT_EQ(*(ids1 + i * k + j + 1), *(ids2 + i * k + j));
+        }
+    }
+    */
+}
+
+TEST_P(HNSWSQ8NRTest, HNSW_serialize) {
+    auto serialize = [](const std::string& filename, milvus::knowhere::BinaryPtr& bin, uint8_t* ret) {
+        {
+            FileIOWriter writer(filename);
+            writer(static_cast<void*>(bin->data.get()), bin->size);
+        }
+
+        FileIOReader reader(filename);
+        reader(ret, bin->size);
+    };
+
+    {
+        index_->Train(base_dataset, conf);
+        index_->Add(base_dataset, conf);
+        auto binaryset = index_->Serialize();
+        auto bin_index = binaryset.GetByName("HNSW_SQ8");
+        auto bin_sq8 = binaryset.GetByName(SQ8_DATA);
+
+        std::string filename = "/tmp/HNSW_SQ8NR_test_serialize_index.bin";
+        std::string filename2 = "/tmp/HNSW_SQ8NR_test_serialize_sq8.bin";
+        auto load_index_data = new uint8_t[bin_index->size];
+        serialize(filename, bin_index, load_index_data);
+        auto load_sq8_data = new uint8_t[bin_sq8->size];
+        serialize(filename2, bin_sq8, load_sq8_data);
+
+        binaryset.clear();
+        std::shared_ptr<uint8_t[]> data_index(load_index_data);
+        binaryset.Append("HNSW_SQ8", data_index, bin_index->size);
+        std::shared_ptr<uint8_t[]> sq8_index(load_sq8_data);
+        binaryset.Append(SQ8_DATA, sq8_index, bin_sq8->size);
+
+        index_->Load(binaryset);
+        EXPECT_EQ(index_->Count(), nb);
+        EXPECT_EQ(index_->Dim(), dim);
+        auto result = index_->Query(query_dataset, conf);
+        AssertAnns(result, nq, conf[milvus::knowhere::meta::TOPK]);
+    }
+}
+
+/*
+ * faiss style test
+ * keep it
+int
+main() {
+    int64_t d = 64;      // dimension
+    int64_t nb = 10000;  // database size
+    int64_t nq = 10;     // 10000;                        // nb of queries
+    faiss::ConcurrentBitsetPtr bitset = std::make_shared<faiss::ConcurrentBitset>(nb);
+
+    int64_t* ids = new int64_t[nb];
+    float* xb = new float[d * nb];
+    float* xq = new float[d * nq];
+    //    int64_t *ids = (int64_t*)malloc(nb * sizeof(int64_t));
+    //    float* xb = (float*)malloc(d * nb * sizeof(float));
+    //    float* xq = (float*)malloc(d * nq * sizeof(float));
+
+    for (int i = 0; i < nb; i++) {
+        for (int j = 0; j < d; j++) xb[d * i + j] = drand48();
+        xb[d * i] += i / 1000.;
+        ids[i] = i;
+    }
+//    printf("gen xb and ids done! \n");
+
+    //    srand((unsigned)time(nullptr));
+    auto random_seed = (unsigned)time(nullptr);
+//    printf("delete ids: \n");
+    for (int i = 0; i < nq; i++) {
+        auto tmp = rand_r(&random_seed) % nb;
+//        printf("%ld\n", tmp);
+        //        std::cout << "before delete, test result: " << bitset->test(tmp) << std::endl;
+        bitset->set(tmp);
+        //        std::cout << "after delete, test result: " << bitset->test(tmp) << std::endl;
+        for (int j = 0; j < d; j++) xq[d * i + j] = xb[d * tmp + j];
+        //        xq[d * i] += i / 1000.;
+    }
+//    printf("\n");
+
+    int k = 4;
+    int m = 16;
+    int ef = 200;
+    milvus::knowhere::IndexHNSW_NM index;
+    milvus::knowhere::DatasetPtr base_dataset = generate_dataset(nb, d, (const void*)xb, ids);
+//    base_dataset->Set(milvus::knowhere::meta::ROWS, nb);
+//    base_dataset->Set(milvus::knowhere::meta::DIM, d);
+//    base_dataset->Set(milvus::knowhere::meta::TENSOR, (const void*)xb);
+//    base_dataset->Set(milvus::knowhere::meta::IDS, (const int64_t*)ids);
+
+    milvus::knowhere::Config base_conf{
+        {milvus::knowhere::meta::DIM, d},
+        {milvus::knowhere::meta::TOPK, k},
+        {milvus::knowhere::IndexParams::M, m},
+        {milvus::knowhere::IndexParams::efConstruction, ef},
+        {milvus::knowhere::Metric::TYPE, milvus::knowhere::Metric::L2},
+    };
+    milvus::knowhere::DatasetPtr query_dataset = generate_query_dataset(nq, d, (const void*)xq);
+    milvus::knowhere::Config query_conf{
+        {milvus::knowhere::meta::DIM, d},
+        {milvus::knowhere::meta::TOPK, k},
+        {milvus::knowhere::IndexParams::M, m},
+        {milvus::knowhere::IndexParams::ef, ef},
+        {milvus::knowhere::Metric::TYPE, milvus::knowhere::Metric::L2},
+    };
+
+    index.Train(base_dataset, base_conf);
+    index.Add(base_dataset, base_conf);
+
+//    printf("------------sanity check----------------\n");
+    {  // sanity check
+        auto res = index.Query(query_dataset, query_conf);
+//        printf("Query done!\n");
+        const int64_t* I = res->Get<int64_t*>(milvus::knowhere::meta::IDS);
+//        float* D = res->Get<float*>(milvus::knowhere::meta::DISTANCE);
+
+//        printf("I=\n");
+//        for (int i = 0; i < 5; i++) {
+//            for (int j = 0; j < k; j++) printf("%5ld ", I[i * k + j]);
+//            printf("\n");
+//        }
+
+//        printf("D=\n");
+//        for (int i = 0; i < 5; i++) {
+//            for (int j = 0; j < k; j++) printf("%7g ", D[i * k + j]);
+//            printf("\n");
+//        }
+    }
+
+//    printf("---------------search xq-------------\n");
+    {  // search xq
+        auto res = index.Query(query_dataset, query_conf);
+        const int64_t* I = res->Get<int64_t*>(milvus::knowhere::meta::IDS);
+
+        printf("I=\n");
+        for (int i = 0; i < nq; i++) {
+            for (int j = 0; j < k; j++) printf("%5ld ", I[i * k + j]);
+            printf("\n");
+        }
+    }
+
+    printf("----------------search xq with delete------------\n");
+    {  // search xq with delete
+        index.SetBlacklist(bitset);
+        auto res = index.Query(query_dataset, query_conf);
+        auto I = res->Get<int64_t*>(milvus::knowhere::meta::IDS);
+
+        printf("I=\n");
+        for (int i = 0; i < nq; i++) {
+            for (int j = 0; j < k; j++) printf("%5ld ", I[i * k + j]);
+            printf("\n");
+        }
+    }
+
+    delete[] xb;
+    delete[] xq;
+    delete[] ids;
+
+    return 0;
+}
+*/