/root/doris/cloud/src/common/metric.cpp

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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you 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 "metric.h"

#include <glog/logging.h>
#include <rapidjson/document.h>
#include <rapidjson/encodings.h>
#include <rapidjson/error/en.h>

#include <cstdint>
#include <memory>
#include <optional>
#include <set>
#include <string>
#include <string_view>
#include <unordered_map>
#include <vector>

#include "common/bvars.h"
#include "common/logging.h"
#include "meta-store/keys.h"
#include "meta-store/txn_kv.h"
#include "meta-store/txn_kv_error.h"

namespace doris::cloud {
extern std::set<std::string> get_key_prefix_contants();

// The format of the output is shown in "test/fdb_metric_example.json"
static const std::string FDB_STATUS_KEY = "\xff\xff/status/json";

static std::string get_fdb_status(TxnKv* txn_kv) {
    std::unique_ptr<Transaction> txn;
    TxnErrorCode err = txn_kv->create_txn(&txn);
    if (err != TxnErrorCode::TXN_OK) {
        LOG(WARNING) << "failed to create_txn, err=" << err;
        return "";
    }
    std::string status_val;
    err = txn->get(FDB_STATUS_KEY, &status_val);
    if (err != TxnErrorCode::TXN_OK) {
        LOG(WARNING) << "failed to get FDB_STATUS_KEY, err=" << err;
        return "";
    }
    return status_val;
}

// The format of fdb status details:
//
// Configuration:
//   Redundancy mode        - double
//   Storage engine         - ssd-2
//   Coordinators           - 3
//   Usable Regions         - 1

// Cluster:
//   FoundationDB processes - 15
//   Zones                  - 3
//   Machines               - 3
//   Memory availability    - 2.9 GB per process on machine with least available
//                            >>>>> (WARNING: 4.0 GB recommended) <<<<<
//   Retransmissions rate   - 3 Hz
//   Fault Tolerance        - 1 machines
//   Server time            - 02/16/23 16:48:14

// Data:
//   Replication health     - Healthy
//   Moving data            - 0.000 GB
//   Sum of key-value sizes - 4.317 GB
//   Disk space used        - 11.493 GB

// Operating space:
//   Storage server         - 462.8 GB free on most full server
//   Log server             - 462.8 GB free on most full server

// Workload:
//   Read rate              - 84 Hz
//   Write rate             - 4 Hz
//   Transactions started   - 222 Hz
//   Transactions committed - 4 Hz
//   Conflict rate          - 0 Hz

// Backup and DR:
//   Running backups        - 0
//   Running DRs            - 0

static void export_fdb_status_details(const std::string& status_str) {
    using namespace rapidjson;
    Document document;
    try {
        document.Parse(status_str.c_str());
        if (document.HasParseError()) {
            LOG(WARNING) << "fail to parse status str, err: "
                         << GetParseError_En(document.GetParseError());
            return;
        }
    } catch (std::exception& e) {
        LOG(WARNING) << "fail to parse status str, err: " << e.what();
        return;
    }

    if (!document.HasMember("cluster") || !document.HasMember("client")) {
        LOG(WARNING) << "err fdb status details";
        return;
    }
    auto get_value = [&](const std::vector<const char*>& v) -> int64_t {
        if (v.empty()) return BVAR_FDB_INVALID_VALUE;
        auto node = document.FindMember("cluster");
        for (const auto& name : v) {
            if (!node->value.HasMember(name)) return BVAR_FDB_INVALID_VALUE;
            node = node->value.FindMember(name);
        }
        if (node->value.IsInt64()) return node->value.GetInt64();
        if (node->value.IsDouble()) return static_cast<int64_t>(node->value.GetDouble());
        if (node->value.IsObject()) return node->value.MemberCount();
        if (node->value.IsArray()) return node->value.Size();
        return BVAR_FDB_INVALID_VALUE;
    };
    auto get_nanoseconds = [&](const std::vector<const char*>& v) -> int64_t {
        constexpr double NANOSECONDS = 1e9;
        auto node = document.FindMember("cluster");
        for (const auto& name : v) {
            if (!node->value.HasMember(name)) return BVAR_FDB_INVALID_VALUE;
            node = node->value.FindMember(name);
        }
        if (node->value.IsInt64()) return node->value.GetInt64() * NANOSECONDS;
        DCHECK(node->value.IsDouble());
        return static_cast<int64_t>(node->value.GetDouble() * NANOSECONDS);
    };
    // Configuration
    g_bvar_fdb_configuration_coordinators_count.set_value(
            get_value({"configuration", "coordinators_count"}));
    g_bvar_fdb_configuration_usable_regions.set_value(
            get_value({"configuration", "usable_regions"}));

    // Cluster
    g_bvar_fdb_process_count.set_value(get_value({"processes"}));
    g_bvar_fdb_machines_count.set_value(get_value({"machines"}));
    g_bvar_fdb_fault_tolerance_count.set_value(
            get_value({"fault_tolerance", "max_zone_failures_without_losing_data"}));
    g_bvar_fdb_generation.set_value(get_value({"generation"}));
    g_bvar_fdb_incompatible_connections.set_value(get_value({"incompatible_connections"}));

    // Data/Operating space
    g_bvar_fdb_data_average_partition_size_bytes.set_value(
            get_value({"data", "average_partition_size_bytes"}));
    g_bvar_fdb_data_partition_count.set_value(get_value({"data", "partitions_count"}));
    g_bvar_fdb_data_total_disk_used_bytes.set_value(get_value({"data", "total_disk_used_bytes"}));
    g_bvar_fdb_data_total_kv_size_bytes.set_value(get_value({"data", "total_kv_size_bytes"}));
    g_bvar_fdb_data_log_server_space_bytes.set_value(
            get_value({"data", "least_operating_space_bytes_log_server"}));
    g_bvar_fdb_data_storage_server_space_bytes.set_value(
            get_value({"data", "least_operating_space_bytes_storage_server"}));
    g_bvar_fdb_data_moving_data_highest_priority.set_value(
            get_value({"data", "moving_data", "highest_priority"}));
    g_bvar_fdb_data_moving_data_in_flight_bytes.set_value(
            get_value({"data", "moving_data", "in_flight_bytes"}));
    g_bvar_fdb_data_moving_data_in_queue_bytes.set_value(
            get_value({"data", "moving_data", "in_queue_bytes"}));
    g_bvar_fdb_data_moving_total_written_bytes.set_value(
            get_value({"data", "moving_data", "total_written_bytes"}));
    g_bvar_fdb_data_state_min_replicas_remaining.set_value(
            get_value({"data", "state", "min_replicas_remaining"}));

    // Latency probe
    g_bvar_fdb_latency_probe_transaction_start_ns.set_value(
            get_nanoseconds({"latency_probe", "transaction_start_seconds"}));
    g_bvar_fdb_latency_probe_commit_ns.set_value(
            get_nanoseconds({"latency_probe", "commit_seconds"}));
    g_bvar_fdb_latency_probe_read_ns.set_value(get_nanoseconds({"latency_probe", "read_seconds"}));

    // QOS
    g_bvar_fdb_qos_worst_data_lag_storage_server_ns.set_value(
            get_nanoseconds({"qos", "worst_data_lag_storage_server", "seconds"}));
    g_bvar_fdb_qos_worst_durability_lag_storage_server_ns.set_value(
            get_nanoseconds({"qos", "worst_durability_lag_storage_server", "seconds"}));
    g_bvar_fdb_qos_worst_log_server_queue_bytes.set_value(
            get_value({"qos", "worst_queue_bytes_log_server"}));
    g_bvar_fdb_qos_worst_storage_server_queue_bytes.set_value(
            get_value({"qos", "worst_queue_bytes_storage_server"}));

    // Backup and DR

    // Client Count
    g_bvar_fdb_client_count.set_value(get_value({"clients", "count"}));

    // Coordinators Unreachable Count
    auto unreachable_count = 0;
    if (auto node = document.FindMember("client"); node->value.HasMember("coordinators")) {
        if (node = node->value.FindMember("coordinators"); node->value.HasMember("coordinators")) {
            if (node = node->value.FindMember("coordinators"); node->value.IsArray()) {
                for (const auto& c : node->value.GetArray()) {
                    if (c.HasMember("reachable") && c.FindMember("reachable")->value.IsBool() &&
                        !c.FindMember("reachable")->value.GetBool()) {
                        ++unreachable_count;
                    }
                }
                g_bvar_fdb_coordinators_unreachable_count.set_value(unreachable_count);
            }
        }
    }

    // Helper function for recursive name construction
    // such as: {"disk": {"reads": {"counter": 123, "hz": 0}}}
    // component is "disk", the names of these two values should be "reads_counter" and "reads_hz"
    auto recursive_name_helper = [](std::string& origin_name,
                                    const char* next_level_name) -> std::string {
        return origin_name + '_' + next_level_name;
    };

    // Generic recursive function to traverse JSON node and set bvar values
    // There are three cases here: int64, double, and object.
    // If it is double or int64, put it directly into the bvar.
    // If it is an object, recursively obtain the full name and corresponding value.
    auto recursive_traverse_and_set = [&recursive_name_helper](auto&& set_value_callback,
                                                               auto&& self, std::string name,
                                                               auto temp_node) -> void {
        // if the node is an object, then get Member(iter) and recursive with iter as arg
        if (temp_node->value.IsObject()) {
            for (auto iter = temp_node->value.MemberBegin(); iter != temp_node->value.MemberEnd();
                 iter++) {
                self(set_value_callback, self, recursive_name_helper(name, iter->name.GetString()),
                     iter);
            }
            return;
        }
        // if not object, set bvar value
        set_value_callback(name, temp_node);
    };

    auto get_process_metric = [&](std::string component) {
        auto node = document.FindMember("cluster");
        if (!node->value.HasMember("processes")) return;
        node = node->value.FindMember("processes");
        // process
        for (auto process_node = node->value.MemberBegin(); process_node != node->value.MemberEnd();
             process_node++) {
            const char* process_id = process_node->name.GetString();
            decltype(process_node) component_node;
            // get component iter
            if (!process_node->value.HasMember(component.data())) continue;
            component_node = process_node->value.FindMember(component.data());

            // set_bvar_value is responsible for setting integer and float values to the corresponding bvar.
            auto set_bvar_value = [&process_id, &component](
                                          std::string& name,
                                          decltype(process_node)& temp_node) -> void {
                if (temp_node->value.IsInt64()) {
                    g_bvar_fdb_cluster_processes.put(
                            {process_id, component, name},
                            static_cast<double>(temp_node->value.GetInt64()));
                    return;
                }
                if (temp_node->value.IsDouble()) {
                    g_bvar_fdb_cluster_processes.put({process_id, component, name},
                                                     temp_node->value.GetDouble());
                    return;
                }
                LOG(WARNING) << fmt::format(
                        "Get process metrics set_bvar_value input a wrong type node {}", name);
            };
            // Note that the parameter passed to set_bvar_value here is the current node, not its Member
            // so we can directly call recursive_traverse_and_set in the loop
            for (auto metric_node = component_node->value.MemberBegin();
                 metric_node != component_node->value.MemberEnd(); metric_node++) {
                recursive_traverse_and_set(set_bvar_value, recursive_traverse_and_set,
                                           metric_node->name.GetString(), metric_node);
            }
        }
    };

    auto get_workload_metric = [&](std::string component) {
        auto node = document.FindMember("cluster");
        if (!node->value.HasMember("workload")) return;
        node = node->value.FindMember("workload");

        if (!node->value.HasMember(component.data())) return;
        auto component_node = node->value.FindMember(component.data());

        // set_bvar_value is responsible for setting integer and float values to the corresponding bvar.
        auto set_bvar_value = [&component](std::string& name,
                                           decltype(component_node)& temp_node) -> void {
            if (temp_node->value.IsInt64()) {
                g_bvar_fdb_cluster_workload.put({component, name},
                                                static_cast<double>(temp_node->value.GetInt64()));
                return;
            }
            if (temp_node->value.IsDouble()) {
                g_bvar_fdb_cluster_workload.put({component, name}, temp_node->value.GetDouble());
                return;
            }
            LOG(WARNING) << fmt::format(
                    "Get workload metrics set_bvar_value input a wrong type node {}", name);
        };

        // Reuse the common recursive_traverse_and_set function
        for (auto metric_node = component_node->value.MemberBegin();
             metric_node != component_node->value.MemberEnd(); metric_node++) {
            recursive_traverse_and_set(set_bvar_value, recursive_traverse_and_set,
                                       metric_node->name.GetString(), metric_node);
        }
    };

    // Process Status
    get_process_metric("cpu");
    get_process_metric("disk");
    get_process_metric("memory");

    // Workload Status
    get_workload_metric("keys");
    get_workload_metric("bytes");
    get_workload_metric("operations");
    get_workload_metric("transactions");
}

// boundaries include the key category{meta, txn, recycle...}, instance_id and sub_category{rowset, txn_label...}
// encode look like
// 0x01 "txn" ${instance_id} "txn_label" ${db_id} ${label}
// 0x01 "meta" ${instance_id} "rowset" ${tablet_id} ${version}
// the func count same key to hashmap kv_range_count
// exmaple:
// kv_range_boundaries: meta|instance1|rowset|..., meta|instance1|rowset|..., meta|instance2|rowset|..., txn|instance1|txn_label|...
// kv_range_count output: <meta|instance1|rowset, 2>, <meta|instance2|rowset, 1>, <txn|instance1|txn_label, 1>
void get_kv_range_boundaries_count(std::vector<std::string>& kv_range_boundaries,
                                   std::unordered_map<std::string, size_t>& kv_range_count) {
    size_t prefix_size = FdbTxnKv::fdb_partition_key_prefix().size();
    for (auto&& boundary : kv_range_boundaries) {
        if (boundary.size() < prefix_size + 1 || boundary[prefix_size] != CLOUD_USER_KEY_SPACE01) {
            continue;
        }

        std::string_view user_key(boundary);
        user_key.remove_prefix(prefix_size + 1); // Skip the KEY_SPACE prefix.
        std::vector<std::tuple<std::variant<int64_t, std::string>, int, int>> out;
        decode_key(&user_key, &out); // ignore any error, since the boundary key might be truncated.

        auto visitor = [](auto&& arg) -> std::string {
            using T = std::decay_t<decltype(arg)>;
            if constexpr (std::is_same_v<T, std::string>) {
                return arg;
            } else {
                return std::to_string(arg);
            }
        };

        if (!out.empty()) {
            std::string key;
            // whatever the boundary's category have similar encode part:
            // category, instance_id, sub_category
            // we can distinguish boundary using the three parts
            // some boundaries do not contain all three parts, so restrictions based on size are also necessary
            for (size_t i = 0; i < 3 && i < out.size(); ++i) {
                key += std::visit(visitor, std::get<0>(out[i])) + '|';
            }
            key.pop_back();
            kv_range_count[key]++;
        }
    }
}

static void export_fdb_kv_ranges_details(TxnKv* kv) {
    auto* txn_kv = dynamic_cast<FdbTxnKv*>(kv);
    if (!txn_kv) {
        LOG(WARNING) << "this method only support fdb txn kv";
        return;
    }

    std::vector<std::string> partition_boundaries;
    TxnErrorCode code = txn_kv->get_partition_boundaries(&partition_boundaries);
    if (code != TxnErrorCode::TXN_OK) {
        auto msg = fmt::format("failed to get boundaries, code={}", code);
        return;
    }

    std::unordered_map<std::string, size_t> partition_count;
    get_kv_range_boundaries_count(partition_boundaries, partition_count);

    auto key_prefix_set = get_key_prefix_contants();
    std::unordered_map<std::string, int64_t> category_count;
    for (auto&& [key, count] : partition_count) {
        std::vector<std::string> keys;
        size_t pos {};
        // split key with '|'
        do {
            size_t p = std::min(key.size(), key.find('|', pos));
            keys.emplace_back(key.substr(pos, p - pos));
            pos = p + 1;
        } while (pos < key.size());
        keys.resize(3);
        if (key_prefix_set.contains(keys[0])) {
            category_count[keys[0]] += count;
            g_bvar_fdb_kv_ranges_count.put({keys[0], keys[1], keys[2]}, count);
        } else {
            LOG(WARNING) << fmt::format("Unknow meta range type: {}", keys[0]);
            continue;
        }
    }
}

void FdbMetricExporter::export_fdb_metrics(TxnKv* txn_kv) {
    int64_t busyness = 0;
    std::string fdb_status = get_fdb_status(txn_kv);
    export_fdb_status_details(fdb_status);
    export_fdb_kv_ranges_details(txn_kv);
    if (auto* kv = dynamic_cast<FdbTxnKv*>(txn_kv); kv != nullptr) {
        busyness = static_cast<int64_t>(kv->get_client_thread_busyness() * 100);
        g_bvar_fdb_client_thread_busyness_percent.set_value(busyness);
    }
    LOG(INFO) << "finish to collect fdb metric, client busyness: " << busyness << "%";
}

FdbMetricExporter::~FdbMetricExporter() {
    stop();
}

int FdbMetricExporter::start() {
    if (txn_kv_ == nullptr) return -1;
    std::unique_lock lock(running_mtx_);
    if (running_) {
        return 0;
    }

    running_ = true;
    thread_ = std::make_unique<std::thread>([this] {
        while (running_.load(std::memory_order_acquire)) {
            export_fdb_metrics(txn_kv_.get());
            std::unique_lock l(running_mtx_);
            running_cond_.wait_for(l, std::chrono::milliseconds(sleep_interval_ms_),
                                   [this]() { return !running_.load(std::memory_order_acquire); });
        }
    });
    pthread_setname_np(thread_->native_handle(), "fdb_metrics_exporter");
    return 0;
}

void FdbMetricExporter::stop() {
    {
        std::unique_lock lock(running_mtx_);
        running_.store(false);
        running_cond_.notify_all();
    }

    if (thread_ != nullptr && thread_->joinable()) {
        thread_->join();
        thread_.reset();
    }
}

} // namespace doris::cloud

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Created: 2026-01-06 15:08