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105 lines
3.7 KiB
C++
105 lines
3.7 KiB
C++
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software distributed under the License
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// is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
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// or implied. See the License for the specific language governing permissions and limitations under the License.
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#include <gtest/gtest.h>
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#include <random>
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#include <string>
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#include "segcore/SegmentGrowingImpl.h"
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using namespace milvus;
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namespace {
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auto
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generate_data(int N) {
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std::vector<char> raw_data;
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std::vector<uint64_t> timestamps;
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std::vector<int64_t> uids;
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std::default_random_engine er(42);
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std::normal_distribution<> distribution(0.0, 1.0);
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std::default_random_engine ei(42);
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for (int i = 0; i < N; ++i) {
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uids.push_back(10 * N + i);
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timestamps.push_back(0);
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// append vec
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float vec[16];
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for (auto& x : vec) {
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x = distribution(er);
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}
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raw_data.insert(raw_data.end(), (const char*)std::begin(vec), (const char*)std::end(vec));
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int age = ei() % 100;
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raw_data.insert(raw_data.end(), (const char*)&age, ((const char*)&age) + sizeof(age));
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}
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return std::make_tuple(raw_data, timestamps, uids);
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}
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} // namespace
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TEST(SegmentCoreTest, NormalDistributionTest) {
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using namespace milvus::segcore;
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using namespace milvus::engine;
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auto schema = std::make_shared<Schema>();
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schema->AddDebugField("fakevec", DataType::VECTOR_FLOAT, 16, MetricType::METRIC_L2);
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schema->AddDebugField("age", DataType::INT32);
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int N = 100 * 1000;
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auto [raw_data, timestamps, uids] = generate_data(N);
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auto segment = CreateGrowingSegment(schema);
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segment->PreInsert(N);
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segment->PreDelete(N);
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}
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TEST(SegmentCoreTest, MockTest) {
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using namespace milvus::segcore;
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using namespace milvus::engine;
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auto schema = std::make_shared<Schema>();
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schema->AddDebugField("fakevec", DataType::VECTOR_FLOAT, 16, MetricType::METRIC_L2);
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schema->AddDebugField("age", DataType::INT32);
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std::vector<char> raw_data;
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std::vector<Timestamp> timestamps;
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std::vector<int64_t> uids;
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int N = 10000;
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std::default_random_engine e(67);
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for (int i = 0; i < N; ++i) {
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uids.push_back(100000 + i);
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timestamps.push_back(0);
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// append vec
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float vec[16];
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for (auto& x : vec) {
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x = e() % 2000 * 0.001 - 1.0;
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}
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raw_data.insert(raw_data.end(), (const char*)std::begin(vec), (const char*)std::end(vec));
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int age = e() % 100;
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raw_data.insert(raw_data.end(), (const char*)&age, ((const char*)&age) + sizeof(age));
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}
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auto line_sizeof = (sizeof(int) + sizeof(float) * 16);
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assert(raw_data.size() == line_sizeof * N);
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// auto index_meta = std::make_shared<IndexMeta>(schema);
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auto segment = CreateGrowingSegment(schema);
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RowBasedRawData data_chunk{raw_data.data(), (int)line_sizeof, N};
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auto offset = segment->PreInsert(N);
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segment->Insert(offset, N, uids.data(), timestamps.data(), data_chunk);
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SearchResult search_result;
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// segment->Query(nullptr, 0, query_result);
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// segment->BuildIndex();
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int i = 0;
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i++;
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}
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TEST(SegmentCoreTest, SmallIndex) {
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using namespace milvus::segcore;
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using namespace milvus::engine;
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auto schema = std::make_shared<Schema>();
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schema->AddDebugField("fakevec", DataType::VECTOR_FLOAT, 16, MetricType::METRIC_L2);
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schema->AddDebugField("age", DataType::INT32);
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}
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