ServerConfig.cpp

////////////////////////////////////////////////////////////////////////////////
// Copyright 上海赜睿信息科技有限公司(Zilliz) - All Rights Reserved
// Unauthorized copying of this file, via any medium is strictly prohibited.
// Proprietary and confidential.
////////////////////////////////////////////////////////////////////////////////
#include "ServerConfig.h"

#include <sys/stat.h>
#include <sys/types.h>
#include <unistd.h>
#include <stdlib.h>
#include <iostream>

#include "config/ConfigMgr.h"
#include "utils/CommonUtil.h"
#include "utils/ValidationUtil.h"


namespace zilliz {
namespace milvus {
namespace server {

constexpr uint64_t MB = 1024 * 1024;
constexpr uint64_t GB = MB * 1024;

ServerConfig &
ServerConfig::GetInstance() {
    static ServerConfig config;
    return config;
}

ErrorCode
ServerConfig::LoadConfigFile(const std::string &config_filename) {
    std::string filename = config_filename;
    if (filename.empty()) {
        std::cout << "ERROR: a config file is required" << std::endl;
        exit(1);//directly exit program if config file not specified
    }
    struct stat directoryStat;
    int statOK = stat(filename.c_str(), &directoryStat);
    if (statOK != 0) {
        std::cout << "ERROR: " << filename << " not found!" << std::endl;
        exit(1);//directly exit program if config file not found
    }

    try {
        ConfigMgr *mgr = const_cast<ConfigMgr *>(ConfigMgr::GetInstance());
        ErrorCode err = mgr->LoadConfigFile(filename);
        if (err != 0) {
            std::cout << "Server failed to load config file" << std::endl;
            exit(1);//directly exit program if the config file is illegal
        }
    }
    catch (YAML::Exception &e) {
        std::cout << "Server failed to load config file: " << std::endl;
        return SERVER_UNEXPECTED_ERROR;
    }

    return SERVER_SUCCESS;
}

ErrorCode ServerConfig::ValidateConfig() {

    bool okay = true;
    if (CheckServerConfig() != SERVER_SUCCESS) {
        okay = false;
    }
    if (CheckDBConfig() != SERVER_SUCCESS) {
        okay = false;
    }
    if (CheckMetricConfig() != SERVER_SUCCESS) {
        okay = false;
    }
    if (CheckCacheConfig() != SERVER_SUCCESS) {
        okay = false;
    }
    if (CheckEngineConfig() != SERVER_SUCCESS) {
        okay = false;
    }
    if (CheckResourceConfig() != SERVER_SUCCESS) {
        okay = false;
    }
    return (okay ? SERVER_SUCCESS : SERVER_INVALID_ARGUMENT);
}

ErrorCode
ServerConfig::CheckServerConfig() {
/*
    server_config:
    address: 0.0.0.0            # milvus server ip address
    port: 19530                 # the port milvus listen to, default: 19530, range: 1025 ~ 65534
    gpu_index: 0                # the gpu milvus use, default: 0, range: 0 ~ gpu number - 1
    mode: single                # milvus deployment type: single, cluster, read_only
*/
    bool okay = true;
    ConfigNode server_config = GetConfig(CONFIG_SERVER);

    std::string ip_address = server_config.GetValue(CONFIG_SERVER_ADDRESS, "127.0.0.1");
    if (ValidationUtil::ValidateIpAddress(ip_address) != SERVER_SUCCESS) {
        std::cerr << "ERROR: invalid server IP address: " << ip_address << std::endl;
        okay = false;
    }

    std::string port_str = server_config.GetValue(CONFIG_SERVER_PORT, "19530");
    if (ValidationUtil::ValidateStringIsNumber(port_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: port " << port_str << " is not a number" << std::endl;
        okay = false;
    } else {
        int32_t port = std::stol(port_str);
        if (port < 1025 | port > 65534) {
            std::cerr << "ERROR: port " << port_str << " out of range [1025, 65534]" << std::endl;
            okay = false;
        }
    }

    std::string mode = server_config.GetValue(CONFIG_CLUSTER_MODE, "single");
    if (mode != "single" && mode != "cluster" && mode != "read_only") {
        std::cerr << "ERROR: mode " << mode << " is not one of ['single', 'cluster', 'read_only']" << std::endl;
        okay = false;
    }

    std::string time_zone = server_config.GetValue(CONFIG_TIME_ZONE, "UTC+8");
    int flag = 0;
    if(time_zone.length() < 3)
        flag = 1;
    else if(time_zone.substr(0, 3) != "UTC")
        flag = 1;
    else if(time_zone.length() > 3){
        try {
            stoi(time_zone.substr(3, std::string::npos));
        }
        catch (std::invalid_argument &) {
            flag = 1;
        }
    }
    if(flag == 1){
        std::cerr << "ERROR: time_zone " << time_zone << " is not in a right format" << std::endl;
        okay = false;
    }

    return (okay ? SERVER_SUCCESS : SERVER_INVALID_ARGUMENT);
}

ErrorCode
ServerConfig::CheckDBConfig() {
/*
    db_config:
    db_path: @MILVUS_DB_PATH@             # milvus data storage path
    db_slave_path:                        # secondry data storage path, split by semicolon
    parallel_reduce: false                # use multi-threads to reduce topk result

    # URI format: dialect://username:password@host:port/database
    # All parts except dialect are optional, but you MUST include the delimiters
    # Currently dialect supports mysql or sqlite
    db_backend_url: sqlite://:@:/

    archive_disk_threshold: 0        # triger archive action if storage size exceed this value, 0 means no limit, unit: GB
    archive_days_threshold: 0        # files older than x days will be archived, 0 means no limit, unit: day
    insert_buffer_size: 4            # maximum insert buffer size allowed, default: 4, unit: GB, should be at least 1 GB.
    # the sum of insert_buffer_size and cpu_cache_capacity should be less than total memory, unit: GB
*/
    bool okay = true;
    ConfigNode db_config = GetConfig(CONFIG_DB);

    std::string db_path = db_config.GetValue(CONFIG_DB_PATH);
    if (db_path.empty()) {
        std::cerr << "ERROR: db_path is empty" << std::endl;
        okay = false;
    }

    std::string db_backend_url = db_config.GetValue(CONFIG_DB_URL);
    if (ValidationUtil::ValidateDbURI(db_backend_url) != SERVER_SUCCESS) {
        std::cerr << "ERROR: invalid db_backend_url: " << db_backend_url << std::endl;
        okay = false;
    }

    std::string archive_disk_threshold_str = db_config.GetValue(CONFIG_DB_INSERT_BUFFER_SIZE, "0");
    if (ValidationUtil::ValidateStringIsNumber(archive_disk_threshold_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: archive_disk_threshold " << archive_disk_threshold_str << " is not a number" << std::endl;
        okay = false;
    }

    std::string archive_days_threshold_str = db_config.GetValue(CONFIG_DB_INSERT_BUFFER_SIZE, "0");
    if (ValidationUtil::ValidateStringIsNumber(archive_days_threshold_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: archive_days_threshold " << archive_days_threshold_str << " is not a number" << std::endl;
        okay = false;
    }

    std::string insert_buffer_size_str = db_config.GetValue(CONFIG_DB_INSERT_BUFFER_SIZE, "4");
    if (ValidationUtil::ValidateStringIsNumber(insert_buffer_size_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: insert_buffer_size " << insert_buffer_size_str << " is not a number" << std::endl;
        okay = false;
    }
    else {
        uint64_t insert_buffer_size = (uint64_t) std::stol(insert_buffer_size_str);
        insert_buffer_size *= GB;
        unsigned long total_mem = 0, free_mem = 0;
        CommonUtil::GetSystemMemInfo(total_mem, free_mem);
        if (insert_buffer_size >= total_mem) {
            std::cerr << "ERROR: insert_buffer_size exceed system memory" << std::endl;
            okay = false;
        }
    }

    std::string gpu_index_str = db_config.GetValue(CONFIG_DB_BUILD_INDEX_GPU, "0");
    if (ValidationUtil::ValidateStringIsNumber(gpu_index_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: gpu_index " << gpu_index_str << " is not a number" << std::endl;
        okay = false;
    } else {
        int32_t gpu_index = std::stol(gpu_index_str);
        if (ValidationUtil::ValidateGpuIndex(gpu_index) != SERVER_SUCCESS) {
            std::cerr << "ERROR: invalid gpu_index " << gpu_index_str << std::endl;
            okay = false;
        }
    }

    return (okay ? SERVER_SUCCESS : SERVER_INVALID_ARGUMENT);
}

ErrorCode
ServerConfig::CheckMetricConfig() {
/*
    metric_config:
    is_startup: off                       # if monitoring start: on, off
    collector: prometheus                 # metrics collector: prometheus
    prometheus_config:                    # following are prometheus configure
    port: 8080                          # the port prometheus use to fetch metrics
    (not used) push_gateway_ip_address: 127.0.0.1  # push method configure: push gateway ip address
    (not used) push_gateway_port: 9091             # push method configure: push gateway port
*/
    bool okay = true;
    ConfigNode metric_config = GetConfig(CONFIG_METRIC);

    std::string is_startup_str = metric_config.GetValue(CONFIG_METRIC_IS_STARTUP, "off");
    if (ValidationUtil::ValidateStringIsBool(is_startup_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: invalid is_startup config: " << is_startup_str << std::endl;
        okay = false;
    }

    std::string port_str = metric_config.GetChild(CONFIG_PROMETHEUS).GetValue(CONFIG_METRIC_PROMETHEUS_PORT, "8080");
    if (ValidationUtil::ValidateStringIsNumber(port_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: port specified in prometheus_config " << port_str << " is not a number" << std::endl;
        okay = false;
    }

    return (okay ? SERVER_SUCCESS : SERVER_INVALID_ARGUMENT);
}

ErrorCode
ServerConfig::CheckCacheConfig() {
/*
    cache_config:
    cpu_cache_capacity: 16            # how many memory are used as cache, unit: GB, range: 0 ~ less than total memory
    cpu_cache_free_percent: 0.85      # old data will be erased from cache when cache is full, this value specify how much memory should be kept, range: greater than zero ~ 1.0
    insert_cache_immediately: false   # insert data will be load into cache immediately for hot query
    gpu_cache_capacity: 5             # how many memory are used as cache in gpu, unit: GB, RANGE: 0 ~ less than total memory
    gpu_cache_free_percent: 0.85      # old data will be erased from cache when cache is full, this value specify how much memory should be kept, range: greater than zero ~ 1.0
    gpu_ids:                          # gpu id
    - 0
    - 1
*/
    bool okay = true;
    ConfigNode cache_config = GetConfig(CONFIG_CACHE);

    std::string cpu_cache_capacity_str = cache_config.GetValue(CONFIG_CPU_CACHE_CAPACITY, "16");
    if (ValidationUtil::ValidateStringIsNumber(cpu_cache_capacity_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: cpu_cache_capacity " << cpu_cache_capacity_str << " is not a number" << std::endl;
        okay = false;
    }
    else {
        uint64_t cpu_cache_capacity = (uint64_t) std::stol(cpu_cache_capacity_str);
        cpu_cache_capacity *= GB;
        unsigned long total_mem = 0, free_mem = 0;
        CommonUtil::GetSystemMemInfo(total_mem, free_mem);
        if (cpu_cache_capacity >= total_mem) {
            std::cerr << "ERROR: cpu_cache_capacity exceed system memory" << std::endl;
            okay = false;
        }
        else if (cpu_cache_capacity > (double) total_mem * 0.9) {
            std::cerr << "Warning: cpu_cache_capacity value is too aggressive" << std::endl;
        }

        uint64_t insert_buffer_size = (uint64_t) GetConfig(CONFIG_DB).GetInt32Value(CONFIG_DB_INSERT_BUFFER_SIZE, 4);
        insert_buffer_size *= GB;
        if (insert_buffer_size + cpu_cache_capacity >= total_mem) {
            std::cerr << "ERROR: sum of cpu_cache_capacity and insert_buffer_size exceed system memory" << std::endl;
            okay = false;
        }
    }

    std::string cpu_cache_free_percent_str = cache_config.GetValue(CACHE_FREE_PERCENT, "0.85");
    double cpu_cache_free_percent;
    if (ValidationUtil::ValidateStringIsDouble(cpu_cache_free_percent_str, cpu_cache_free_percent) != SERVER_SUCCESS) {
        std::cerr << "ERROR: cpu_cache_free_percent " << cpu_cache_free_percent_str << " is not a double" << std::endl;
        okay = false;
    }
    else if (cpu_cache_free_percent < std::numeric_limits<double>::epsilon() || cpu_cache_free_percent > 1.0) {
        std::cerr << "ERROR: invalid cpu_cache_free_percent " << cpu_cache_free_percent_str << std::endl;
        okay = false;
    }

    std::string insert_cache_immediately_str = cache_config.GetValue(CONFIG_INSERT_CACHE_IMMEDIATELY, "false");
    if (ValidationUtil::ValidateStringIsBool(insert_cache_immediately_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: invalid insert_cache_immediately config: " << insert_cache_immediately_str << std::endl;
        okay = false;
    }

    std::string gpu_cache_capacity_str = cache_config.GetValue(CONFIG_GPU_CACHE_CAPACITY, "0");
    if (ValidationUtil::ValidateStringIsNumber(gpu_cache_capacity_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: gpu_cache_capacity " << gpu_cache_capacity_str << " is not a number" << std::endl;
        okay = false;
    }
    else {
        uint64_t gpu_cache_capacity = (uint64_t) std::stol(gpu_cache_capacity_str);
        gpu_cache_capacity *= GB;
        int gpu_index = GetConfig(CONFIG_DB).GetInt32Value(CONFIG_DB_BUILD_INDEX_GPU, 0);
        size_t gpu_memory;
        if (ValidationUtil::GetGpuMemory(gpu_index, gpu_memory) != SERVER_SUCCESS) {
            std::cerr << "ERROR: could not get gpu memory for device " << gpu_index << std::endl;
            okay = false;
        }
        else if (gpu_cache_capacity >= gpu_memory) {
            std::cerr << "ERROR: gpu_cache_capacity " << gpu_cache_capacity
                      << " exceed total gpu memory " << gpu_memory << std::endl;
            okay = false;
        }
        else if (gpu_cache_capacity > (double) gpu_memory * 0.9) {
            std::cerr << "Warning: gpu_cache_capacity value is too aggressive" << std::endl;
        }
    }

    std::string gpu_cache_free_percent_str = cache_config.GetValue(GPU_CACHE_FREE_PERCENT, "0.85");
    double gpu_cache_free_percent;
    if (ValidationUtil::ValidateStringIsDouble(gpu_cache_free_percent_str, gpu_cache_free_percent) != SERVER_SUCCESS) {
        std::cerr << "ERROR: gpu_cache_free_percent " << gpu_cache_free_percent_str << " is not a double" << std::endl;
        okay = false;
    }
    else if (gpu_cache_free_percent < std::numeric_limits<double>::epsilon() || gpu_cache_free_percent > 1.0) {
        std::cerr << "ERROR: invalid gpu_cache_free_percent " << gpu_cache_free_percent << std::endl;
        okay = false;
    }

    return (okay ? SERVER_SUCCESS : SERVER_INVALID_ARGUMENT);
}

ErrorCode
ServerConfig::CheckEngineConfig() {
/*
    engine_config:
    use_blas_threshold: 20
    omp_thread_num: 0             # how many compute threads be used by engine, 0 means use all cpu core to compute
*/
    bool okay = true;
    ConfigNode engine_config = GetConfig(CONFIG_ENGINE);

    std::string use_blas_threshold_str = engine_config.GetValue(CONFIG_DCBT, "20");
    if (ValidationUtil::ValidateStringIsNumber(use_blas_threshold_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: use_blas_threshold " << use_blas_threshold_str << " is not a number" << std::endl;
        okay = false;
    }

    std::string omp_thread_num_str = engine_config.GetValue(CONFIG_OMP_THREAD_NUM, "0");
    if (ValidationUtil::ValidateStringIsNumber(omp_thread_num_str) != SERVER_SUCCESS) {
        std::cerr << "ERROR: omp_thread_num " << omp_thread_num_str << " is not a number" << std::endl;
        okay = false;
    } else {
        int32_t omp_thread = std::stol(omp_thread_num_str);
        uint32_t sys_thread_cnt = 8;
        if (omp_thread > CommonUtil::GetSystemAvailableThreads(sys_thread_cnt)) {
            std::cerr << "ERROR: omp_thread_num " << omp_thread_num_str << " > system available thread "
                      << sys_thread_cnt << std::endl;
            okay = false;
        }
    }

    return (okay ? SERVER_SUCCESS : SERVER_INVALID_ARGUMENT);
}

ErrorCode
ServerConfig::CheckResourceConfig() {
/*

    resource_config:
    # resource list, length: 0~N
    # please set a DISK resource and a CPU resource least, or system will not return query result.
    #
      # example:
    # resource_name:               # resource name, just using in connections below
    #   type: DISK                 # resource type, optional: DISK/CPU/GPU
    #   device_id: 0
    #   enable_executor: false     # if is enable executor, optional: true, false

    resources:
    ssda:
    type: DISK
    device_id: 0
    enable_executor: false

    cpu:
    type: CPU
    device_id: 0
    enable_executor: false

    gpu0:
    type: GPU
    device_id: 0
    enable_executor: true
    gpu_resource_num: 2
    pinned_memory: 300
    temp_memory: 300

    # connection list, length: 0~N
    # example:
    # connection_name:
    #   speed: 100                                        # unit: MS/s
    #   endpoint: ${resource_name}===${resource_name}
    connections:
    io:
    speed: 500
    endpoint: ssda===cpu
    pcie0:
    speed: 11000
    endpoint: cpu===gpu0
*/
    bool okay = true;
    server::ConfigNode resource_config = GetConfig(CONFIG_RESOURCE);
    if (resource_config.GetChildren().empty()) {
        std::cerr << "ERROR: no context under resource" << std::endl;
        okay = false;
    }

    auto resources = resource_config.GetChild(CONFIG_RESOURCES).GetChildren();

    if (resources.empty()) {
        std::cerr << "no resources specified" << std::endl;
        okay = false;
    }

    bool resource_valid_flag = false;
    bool hasDisk = false;
    bool hasCPU = false;
    bool hasExecutor = false;
    std::set<std::string> resource_list;
    for (auto &resource : resources) {
        resource_list.emplace(resource.first);
        auto &resource_conf = resource.second;
        auto type = resource_conf.GetValue(CONFIG_RESOURCE_TYPE);

        std::string device_id_str = resource_conf.GetValue(CONFIG_RESOURCE_DEVICE_ID, "0");
        int32_t device_id = -1;
        if (ValidationUtil::ValidateStringIsNumber(device_id_str) != SERVER_SUCCESS) {
            std::cerr << "ERROR: device_id " << device_id_str << " is not a number" << std::endl;
            okay = false;
        } else {
            device_id = std::stol(device_id_str);
        }

        std::string enable_executor_str = resource_conf.GetValue(CONFIG_RESOURCE_ENABLE_EXECUTOR, "off");
        if (ValidationUtil::ValidateStringIsBool(enable_executor_str) != SERVER_SUCCESS) {
            std::cerr << "ERROR: invalid enable_executor config: " << enable_executor_str << std::endl;
            okay = false;
        }

        if (type == "DISK") {
            hasDisk = true;
        } else if (type == "CPU") {
            hasCPU = true;
            if (resource_conf.GetBoolValue(CONFIG_RESOURCE_ENABLE_EXECUTOR, false)) {
                hasExecutor = true;
            }
        }
        else if (type == "GPU") {
            int build_index_gpu_index = GetConfig(CONFIG_DB).GetInt32Value(CONFIG_DB_BUILD_INDEX_GPU, 0);
            if (device_id == build_index_gpu_index) {
                resource_valid_flag = true;
            }
            if (resource_conf.GetBoolValue(CONFIG_RESOURCE_ENABLE_EXECUTOR, false)) {
                hasExecutor = true;
            }
            std::string gpu_resource_num_str = resource_conf.GetValue(CONFIG_RESOURCE_NUM, "2");
            if (ValidationUtil::ValidateStringIsNumber(gpu_resource_num_str) != SERVER_SUCCESS) {
                std::cerr << "ERROR: gpu_resource_num " << gpu_resource_num_str << " is not a number" << std::endl;
                okay = false;
            }
            bool mem_valid = true;
            std::string pinned_memory_str = resource_conf.GetValue(CONFIG_RESOURCE_PIN_MEMORY, "300");
            if (ValidationUtil::ValidateStringIsNumber(pinned_memory_str) != SERVER_SUCCESS) {
                std::cerr << "ERROR: pinned_memory " << pinned_memory_str << " is not a number" << std::endl;
                okay = false;
                mem_valid = false;
            }
            std::string temp_memory_str = resource_conf.GetValue(CONFIG_RESOURCE_TEMP_MEMORY, "300");
            if (ValidationUtil::ValidateStringIsNumber(temp_memory_str) != SERVER_SUCCESS) {
                std::cerr << "ERROR: temp_memory " << temp_memory_str << " is not a number" << std::endl;
                okay = false;
                mem_valid = false;
            }
            if (mem_valid) {
                size_t gpu_memory;
                if (ValidationUtil::GetGpuMemory(device_id, gpu_memory) != SERVER_SUCCESS) {
                    std::cerr << "ERROR: could not get gpu memory for device " << device_id << std::endl;
                    okay = false;
                }
                else {
                    size_t prealoc_mem = std::stol(pinned_memory_str) + std::stol(temp_memory_str);
                    if (prealoc_mem >= gpu_memory) {
                        std::cerr << "ERROR: sum of pinned_memory and temp_memory " << prealoc_mem
                                  << " exceeds total gpu memory " << gpu_memory << " for device " << device_id << std::endl;
                        okay = false;
                    }
                }
            }
        }
    }

    if (!resource_valid_flag) {
        std::cerr << "Building index GPU can't be found in resource config." << std::endl;
        okay = false;
    }
    if (!hasDisk || !hasCPU) {
        std::cerr << "No DISK or CPU resource" << std::endl;
        okay = false;
    }
    if (!hasExecutor) {
        std::cerr << "No CPU or GPU resource has executor enabled" << std::endl;
        okay = false;
    }

    auto connections = resource_config.GetChild(CONFIG_RESOURCE_CONNECTIONS).GetChildren();
    for (auto &connection : connections) {
        auto &connection_conf = connection.second;

        std::string speed_str = connection_conf.GetValue(CONFIG_SPEED_CONNECTIONS);
        if (ValidationUtil::ValidateStringIsNumber(speed_str) != SERVER_SUCCESS) {
            std::cerr << "ERROR: speed " << speed_str << " is not a number" << std::endl;
            okay = false;
        }

        std::string endpoint_str = connection_conf.GetValue(CONFIG_ENDPOINT_CONNECTIONS);
        std::string delimiter = "===";
        auto delimiter_pos = endpoint_str.find(delimiter);
        if (delimiter_pos == std::string::npos) {
            std::cerr << "ERROR: invalid endpoint format: " << endpoint_str << std::endl;
            okay = false;
        } else {
            std::string left_resource = endpoint_str.substr(0, delimiter_pos);
            if (resource_list.find(left_resource) == resource_list.end()) {
                std::cerr << "ERROR: left resource " << left_resource << " does not exist" << std::endl;
                okay = false;
            }
            std::string right_resource = endpoint_str.substr(delimiter_pos + delimiter.length(), endpoint_str.length());
            if (resource_list.find(right_resource) == resource_list.end()) {
                std::cerr << "ERROR: right resource " << right_resource << " does not exist" << std::endl;
                okay = false;
            }
        }
    }

    return (okay ? SERVER_SUCCESS : SERVER_INVALID_ARGUMENT);
}

void
ServerConfig::PrintAll() const {
    if (const ConfigMgr *mgr = ConfigMgr::GetInstance()) {
        std::string str = mgr->DumpString();
//        SERVER_LOG_INFO << "\n" << str;
        std::cout << "\n" << str << std::endl;
    }
}

ConfigNode
ServerConfig::GetConfig(const std::string &name) const {
    const ConfigMgr *mgr = ConfigMgr::GetInstance();
    const ConfigNode &root_node = mgr->GetRootNode();
    return root_node.GetChild(name);
}

ConfigNode &
ServerConfig::GetConfig(const std::string &name) {
    ConfigMgr *mgr = ConfigMgr::GetInstance();
    ConfigNode &root_node = mgr->GetRootNode();
    return root_node.GetChild(name);
}


}
}
}