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246 lines
8.5 KiB
246 lines
8.5 KiB
#include <chrono>
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#include <iomanip>
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#include <iostream>
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#include <leveldb/db.h>
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#include <leveldb/options.h>
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#include <numeric>
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#include <sstream>
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#include <string>
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#include <vector>
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#include "leveldb/env.h"
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#include "gtest/gtest.h"
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using namespace leveldb;
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// 字段信息结构体
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struct Field {
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std::string name;
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std::string value;
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};
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using FieldArray = std::vector<Field>;
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// 序列化函数，将字段数组编码为字符串
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std::string SerializeValue(const FieldArray& fields) {
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// 创建并初始化一个字符串流 oss,用于逐步构建最终的序列化字符串
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std::ostringstream oss_temp;
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std::string slot_num = "slot_num";
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oss_temp << std::setw(sizeof(size_t)) << std::setfill('0') << slot_num;
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// 写入属性个数（定长,16比特），使用std::setw(16)设置宽度，使用std::setfull(0)设置填充字符，将字段数组的大小写入oss中
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oss_temp << std::setw(16) << std::setfill('0') << fields.size();
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for (const auto& field : fields) {
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// 写入属性名长度（定长,16比特）
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oss_temp << std::setw(16) << std::setfill('0') << field.name.size();
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// 写入属性名（变长）
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oss_temp << field.name;
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// 写入属性值长度（定长,16比特）
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oss_temp << std::setw(16) << std::setfill('0') << field.value.size();
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// 写入属性值（变长）
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oss_temp << field.value;
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}
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std::string temp_str = oss_temp.str();
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size_t value_length = temp_str.size();
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std::ostringstream oss;
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oss << std::setw(16) << std::setfill('0') << value_length;
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oss << temp_str;
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std::cout << "value 的长度为： " << value_length << std::endl;
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std::cout << "总长度为： " << oss.str().size() << std::endl;
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return oss.str();
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}
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// 反序列化函数，将字符串解码为字段数组
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FieldArray ParseValue(const std::string& value_str) {
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// 存放解析后的字段数组
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FieldArray fields;
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// 将输入字符串转换为输入流 iss， 方便读取
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std::istringstream iss(value_str);
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std::string content;
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// 临时存放读取的数据
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char buffer[100];
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// 读取长度（定长,16比特）
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iss.read(buffer, 16);
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buffer[16] = '\0';
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size_t total_length = std::stoi(buffer);
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// std::cout << "读取到的总长度为： " << total_length << std::endl;
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std::string value_content(value_str.begin() + 16, value_str.begin() + 16 + total_length);
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// std::cout << value_content << std::endl;
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std::istringstream iss_content(value_content);
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iss_content.read(buffer, sizeof(size_t));
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buffer[sizeof(size_t)] = '\0';
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std::string slot_num = buffer;
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// 读取属性个数
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iss_content.read(buffer, 16);
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// 在第17个比特位处添加终结符，确保字符串以终结符结尾
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buffer[16] = '\0';
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// 将 buffer 中的内容转化为整数并赋值给 field_count
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int field_count = std::stoi(buffer);
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// std::cout << "读取到的字段个数为： " << field_count << std::endl;
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for (int i = 0; i < field_count; ++i) {
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Field field;
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// 读取属性名长度（定长,16比特）
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iss_content.read(buffer, 16);
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buffer[16] = '\0';
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int name_length = std::stoi(buffer);
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// std::cout << "读取到的属性名长度为： " << name_length << std::endl;
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// 读取属性名（变长）
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field.name.resize(name_length);
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iss_content.read(&field.name[0], name_length);
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// std::cout << "读取到的属性名为： " << field.name << std::endl;
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// 读取属性值长度（定长,16比特）
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iss_content.read(buffer, 16);
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buffer[16] = '\0';
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int value_length = std::stoi(buffer);
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// std::cout << "读取到的属性值长度为： " << value_length << std::endl;
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// 读取属性值（变长）
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field.value.resize(value_length);
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iss_content.read(&field.value[0], value_length);
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// std::cout << "读取到的属性值为： " << field.value << std::endl;
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fields.push_back(field);
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}
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return fields;
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}
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// 根据字段值查找所有包含该字段的 key，遍历
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std::vector<std::string> FindKeysByField(leveldb::DB* db, const Field& field) {
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std::vector<std::string> keys;
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leveldb::Iterator* it = db->NewIterator(leveldb::ReadOptions());
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for (it->SeekToFirst(); it->Valid() ; it->Next()) {
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std::string key = it->key().ToString();
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std::string value;
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db->Get(leveldb::ReadOptions(), key, &value);
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FieldArray fields = ParseValue(value);
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for (const auto& f : fields) {
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if (f.name == field.name && f.value == field.value) {
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keys.push_back(key);
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break; // 假设每个key中每个字段值唯一
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}
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}
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}
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delete it;
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return keys;
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}
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Status OpenDB(std::string dbName, DB** db) {
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Options options;
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options.create_if_missing = true;
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return DB::Open(options, dbName, db);
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}
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// 吞吐量测试函数
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void TestThroughput(leveldb::DB* db, int num_operations) {
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WriteOptions writeOptions;
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auto start_time = std::chrono::steady_clock::now();
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for (int i = 0; i < num_operations; ++i) {
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std::string key = "key_" + std::to_string(i);
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FieldArray fields = {{"name", "Customer" + std::to_string(i)}, {"address", "Address" + std::to_string(i)}, {"phone", "1234567890"}};
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std::string value = SerializeValue(fields);
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db->Put(writeOptions, key, value);
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}
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auto end_time = std::chrono::steady_clock::now();
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auto duration = std::chrono::duration_cast<std::chrono::milliseconds>(end_time - start_time).count();
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std::cout << "Throughput: " << num_operations * 1000 / duration << " OPS" << std::endl;
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}
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// 延迟测试函数
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void TestLatency(leveldb::DB* db, int num_operations, std::vector<int64_t>& lat_res) {
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WriteOptions writeOptions;
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int64_t latency = 0;
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auto end_time = std::chrono::steady_clock::now();
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auto last_time = end_time;
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for (int i = 0; i < num_operations; ++i) {
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// 执行写入操作
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std::string key = "key_" + std::to_string(i);
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FieldArray fields = {{"name", "Customer" + std::to_string(i)}, {"address", "Address" + std::to_string(i)}, {"phone", "1234567890"}};
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std::string value = SerializeValue(fields);
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db->Put(writeOptions, key, value);
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db->Get(leveldb::ReadOptions(), key, &value);
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end_time = std::chrono::steady_clock::now();
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latency = std::chrono::duration_cast<std::chrono::milliseconds>(
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end_time - last_time).count();
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last_time = end_time;
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lat_res.emplace_back(latency);
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}
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// 输出延迟统计信息（可选）
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double avg_latency = std::accumulate(lat_res.begin(), lat_res.end(), 0.0) / lat_res.size();
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std::cout << "Average Latency: " << std::fixed << std::setprecision(2) << avg_latency << " ms" << std::endl;
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std::cout << "Max Latency: " << *std::max_element(lat_res.begin(), lat_res.end()) << " ms" << std::endl;
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std::cout << "Min Latency: " << *std::min_element(lat_res.begin(), lat_res.end()) << " ms" << std::endl;
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}
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TEST(TestSchema, Basic) {
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DB* db;
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WriteOptions writeOptions;
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ReadOptions readOptions;
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if (!OpenDB("testdb", &db).ok()) {
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std::cerr << "open db failed" << std::endl;
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abort();
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}
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std::string key1 = "k_1";
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std::string key2 = "k_2";
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std::string key3 = "k_3";
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FieldArray fields1 = {
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{"name", "Customer1"},
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{"address", "IVhzIApeRb"},
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{"phone", "25-989-741-2988"}
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};
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FieldArray fields2 = {
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{"name", "Customer1"},
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{"address", "ecnu"},
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{"phone", "123456789"}
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};
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FieldArray fields3 = {
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{"name", "Customer2"},
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{"address", "ecnu"},
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{"phone", "11111"}
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};
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// 序列化并插入
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std::string value1 = SerializeValue(fields1);
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std::string value2 = SerializeValue(fields2);
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std::string value3 = SerializeValue(fields3);
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db->Put(leveldb::WriteOptions(), key1, value1);
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db->Put(leveldb::WriteOptions(), key2, value2);
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db->Put(leveldb::WriteOptions(), key3, value3);
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// 读取并反序列化
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std::string value_ret;
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db->Get(leveldb::ReadOptions(), key1, &value_ret);
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auto fields_ret = ParseValue(value_ret);
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// 检查反序列化结果
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ASSERT_EQ(fields_ret.size(), fields1.size());
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for (size_t i = 0; i < fields_ret.size(); ++i) {
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ASSERT_EQ(fields_ret[i].name, fields1[i].name);
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ASSERT_EQ(fields_ret[i].value, fields1[i].value);
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}
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// 测试查找功能
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Field query_field = {"name", "Customer2"};
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std::vector<std::string> found_keys = FindKeysByField(db, query_field);
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std::cout << "找到的key有：" << found_keys.size() << "个" << std::endl;
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/*// 吞吐量测试
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TestThroughput(db, 10000);*/
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/* // 延迟测试
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std::vector<int64_t> latency_results;
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TestLatency(db, 1000, latency_results);*/
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// 关闭数据库
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delete db;
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}
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int main(int argc, char** argv) {
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testing::InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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}
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