// 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 "runtime/query_context.h"

#include <fmt/core.h>

#include <gen_cpp/FrontendService_types.h>

#include <gen_cpp/RuntimeProfile_types.h>

#include <gen_cpp/Types_types.h>

#include <glog/logging.h>

#include <algorithm>

#include <exception>

#include <memory>

#include <mutex>

#include <utility>

#include <vector>

#include "common/logging.h"

#include "common/status.h"

#include "olap/olap_common.h"

#include "pipeline/dependency.h"

#include "pipeline/pipeline_fragment_context.h"

#include "runtime/exec_env.h"

#include "runtime/fragment_mgr.h"

#include "runtime/memory/heap_profiler.h"

#include "runtime/runtime_query_statistics_mgr.h"

#include "runtime/runtime_state.h"

#include "runtime/thread_context.h"

#include "runtime/workload_group/workload_group_manager.h"

#include "runtime/workload_management/query_task_controller.h"

#include "runtime_filter/runtime_filter_definitions.h"

#include "util/mem_info.h"

#include "util/uid_util.h"

#include "vec/spill/spill_stream_manager.h"

namespace doris {

class DelayReleaseToken : public Runnable {

    ENABLE_FACTORY_CREATOR(DelayReleaseToken);

public:

    DelayReleaseToken(std::unique_ptr<ThreadPoolToken>&& token) { token_ = std::move(token); }

    ~DelayReleaseToken() override = default;

    void run() override {}

    std::unique_ptr<ThreadPoolToken> token_;

};

const std::string toString(QuerySource queryType) {

    switch (queryType) {

    case QuerySource::INTERNAL_FRONTEND:

        return "INTERNAL_FRONTEND";

    case QuerySource::STREAM_LOAD:

        return "STREAM_LOAD";

    case QuerySource::GROUP_COMMIT_LOAD:

        return "EXTERNAL_QUERY";

    case QuerySource::ROUTINE_LOAD:

        return "ROUTINE_LOAD";

    case QuerySource::EXTERNAL_CONNECTOR:

        return "EXTERNAL_CONNECTOR";

    default:

        return "UNKNOWN";

    }

}

std::shared_ptr<QueryContext> QueryContext::create(TUniqueId query_id, ExecEnv* exec_env,

                                                   const TQueryOptions& query_options,

                                                   TNetworkAddress coord_addr, bool is_nereids,

                                                   TNetworkAddress current_connect_fe,

                                                   QuerySource query_type) {

    auto ctx = QueryContext::create_shared(query_id, exec_env, query_options, coord_addr,

                                           is_nereids, current_connect_fe, query_type);

    ctx->init_query_task_controller();

    return ctx;

}

QueryContext::QueryContext(TUniqueId query_id, ExecEnv* exec_env,

                           const TQueryOptions& query_options, TNetworkAddress coord_addr,

                           bool is_nereids, TNetworkAddress current_connect_fe,

                           QuerySource query_source)

        : _timeout_second(-1),

          _query_id(std::move(query_id)),

          _exec_env(exec_env),

          _is_nereids(is_nereids),

          _query_options(query_options),

          _query_source(query_source) {

    _init_resource_context();

    SCOPED_SWITCH_THREAD_MEM_TRACKER_LIMITER(query_mem_tracker());

    _query_watcher.start();

    _execution_dependency =

            pipeline::Dependency::create_unique(-1, -1, "ExecutionDependency", false);

    _memory_sufficient_dependency =

            pipeline::Dependency::create_unique(-1, -1, "MemorySufficientDependency", true);

    _runtime_filter_mgr = std::make_unique<RuntimeFilterMgr>(true);

    _timeout_second = query_options.execution_timeout;

    bool is_query_type_valid = query_options.query_type == TQueryType::SELECT ||

                               query_options.query_type == TQueryType::LOAD ||

                               query_options.query_type == TQueryType::EXTERNAL;

    DCHECK_EQ(is_query_type_valid, true);

    this->coord_addr = coord_addr;

    // current_connect_fe is used for report query statistics

    this->current_connect_fe = current_connect_fe;

    // external query has no current_connect_fe

    if (query_options.query_type != TQueryType::EXTERNAL) {

        bool is_report_fe_addr_valid =

                !this->current_connect_fe.hostname.empty() && this->current_connect_fe.port != 0;

        DCHECK_EQ(is_report_fe_addr_valid, true);

    }

    clock_gettime(CLOCK_MONOTONIC, &this->_query_arrival_timestamp);

    DorisMetrics::instance()->query_ctx_cnt->increment(1);

}

void QueryContext::_init_query_mem_tracker() {

    bool has_query_mem_limit = _query_options.__isset.mem_limit && (_query_options.mem_limit > 0);

    int64_t bytes_limit = has_query_mem_limit ? _query_options.mem_limit : -1;

    if (bytes_limit > MemInfo::mem_limit() || bytes_limit == -1) {

        VLOG_NOTICE << "Query memory limit " << PrettyPrinter::print(bytes_limit, TUnit::BYTES)

                    << " exceeds process memory limit of "

                    << PrettyPrinter::print(MemInfo::mem_limit(), TUnit::BYTES)

                    << " OR is -1. Using process memory limit instead.";

        bytes_limit = MemInfo::mem_limit();

    }

    // If the query is a pure load task(streamload, routine load, group commit), then it should not use

    // memlimit per query to limit their memory usage.

    if (is_pure_load_task()) {

        bytes_limit = MemInfo::mem_limit();

    }

    std::shared_ptr<MemTrackerLimiter> query_mem_tracker;

    if (_query_options.query_type == TQueryType::SELECT) {

        query_mem_tracker = MemTrackerLimiter::create_shared(

                MemTrackerLimiter::Type::QUERY, fmt::format("Query#Id={}", print_id(_query_id)),

                bytes_limit);

    } else if (_query_options.query_type == TQueryType::LOAD) {

        query_mem_tracker = MemTrackerLimiter::create_shared(

                MemTrackerLimiter::Type::LOAD, fmt::format("Load#Id={}", print_id(_query_id)),

                bytes_limit);

    } else if (_query_options.query_type == TQueryType::EXTERNAL) { // spark/flink/etc..

        query_mem_tracker = MemTrackerLimiter::create_shared(

                MemTrackerLimiter::Type::QUERY, fmt::format("External#Id={}", print_id(_query_id)),

                bytes_limit);

    } else {

        LOG(FATAL) << "__builtin_unreachable";

        __builtin_unreachable();

    }

    if (_query_options.__isset.is_report_success && _query_options.is_report_success) {

        query_mem_tracker->enable_print_log_usage();

    }

    // If enable reserve memory, not enable check limit, because reserve memory will check it.

    // If reserve enabled, even if the reserved memory size is smaller than the actual requested memory,

    // and the query memory consumption is larger than the limit, we do not expect the query to fail

    // after `check_limit` returns an error, but to run as long as possible,

    // and will enter the paused state and try to spill when the query reserves next time.

    // If the workload group or process runs out of memory, it will be forced to cancel.

    query_mem_tracker->set_enable_check_limit(!(_query_options.__isset.enable_reserve_memory &&

                                                _query_options.enable_reserve_memory));

    _resource_ctx->memory_context()->set_mem_tracker(query_mem_tracker);

}

void QueryContext::_init_resource_context() {

    _resource_ctx = ResourceContext::create_shared();

    _init_query_mem_tracker();

}

void QueryContext::init_query_task_controller() {

    _resource_ctx->set_task_controller(QueryTaskController::create(shared_from_this()));

    _resource_ctx->task_controller()->set_task_id(_query_id);

    _resource_ctx->task_controller()->set_fe_addr(current_connect_fe);

    _resource_ctx->task_controller()->set_query_type(_query_options.query_type);

#ifndef BE_TEST

    _exec_env->runtime_query_statistics_mgr()->register_resource_context(print_id(_query_id),

                                                                         _resource_ctx);

#endif

}

QueryContext::~QueryContext() {

    SCOPED_SWITCH_THREAD_MEM_TRACKER_LIMITER(query_mem_tracker());

    // query mem tracker consumption is equal to 0, it means that after QueryContext is created,

    // it is found that query already exists in _query_ctx_map, and query mem tracker is not used.

    // query mem tracker consumption is not equal to 0 after use, because there is memory consumed

    // on query mem tracker, released on other trackers.

    std::string mem_tracker_msg;

    if (query_mem_tracker()->peak_consumption() != 0) {

        mem_tracker_msg = fmt::format(

                "deregister query/load memory tracker, queryId={}, Limit={}, CurrUsed={}, "

                "PeakUsed={}",

                print_id(_query_id), PrettyPrinter::print_bytes(query_mem_tracker()->limit()),

                PrettyPrinter::print_bytes(query_mem_tracker()->consumption()),

                PrettyPrinter::print_bytes(query_mem_tracker()->peak_consumption()));

    }

    [[maybe_unused]] uint64_t group_id = 0;

    if (workload_group()) {

        group_id = workload_group()->id(); // before remove

    }

    _resource_ctx->task_controller()->finish();

    if (enable_profile()) {

        _report_query_profile();

    }

#ifndef BE_TEST

    if (ExecEnv::GetInstance()->pipeline_tracer_context()->enabled()) [[unlikely]] {

        try {

            ExecEnv::GetInstance()->pipeline_tracer_context()->end_query(_query_id, group_id);

        } catch (std::exception& e) {

            LOG(WARNING) << "Dump trace log failed bacause " << e.what();

        }

    }

#endif

    _runtime_filter_mgr.reset();

    _execution_dependency.reset();

    _runtime_predicates.clear();

    file_scan_range_params_map.clear();

    obj_pool.clear();

    _merge_controller_handler.reset();

    DorisMetrics::instance()->query_ctx_cnt->increment(-1);

    // the only one msg shows query's end. any other msg should append to it if need.

    LOG_INFO("Query {} deconstructed, mem_tracker: {}", print_id(this->_query_id), mem_tracker_msg);

}

void QueryContext::set_ready_to_execute(Status reason) {

    set_execution_dependency_ready();

    _exec_status.update(reason);

}

void QueryContext::set_ready_to_execute_only() {

    set_execution_dependency_ready();

}

void QueryContext::set_execution_dependency_ready() {

    _execution_dependency->set_ready();

}

void QueryContext::set_memory_sufficient(bool sufficient) {

    if (sufficient) {

        {

            _memory_sufficient_dependency->set_ready();

            _resource_ctx->task_controller()->reset_paused_reason();

        }

    } else {

        _memory_sufficient_dependency->block();

        _resource_ctx->task_controller()->add_paused_count();

    }

}

void QueryContext::cancel(Status new_status, int fragment_id) {

    if (!_exec_status.update(new_status)) {

        return;

    }

    // Tasks should be always runnable.

    _execution_dependency->set_always_ready();

    _memory_sufficient_dependency->set_always_ready();

    if ((new_status.is<ErrorCode::MEM_LIMIT_EXCEEDED>() ||

         new_status.is<ErrorCode::MEM_ALLOC_FAILED>()) &&

        _query_options.__isset.dump_heap_profile_when_mem_limit_exceeded &&

        _query_options.dump_heap_profile_when_mem_limit_exceeded) {

        // if query is cancelled because of query mem limit exceeded, dump heap profile

        // at the time of cancellation can get the most accurate memory usage for problem analysis

        auto wg = workload_group();

        auto log_str = fmt::format(

                "Query {} canceled because of memory limit exceeded, dumping memory "

                "detail profiles. wg: {}. {}",

                print_id(_query_id), wg ? wg->debug_string() : "null",

                doris::ProcessProfile::instance()->memory_profile()->process_memory_detail_str());

        LOG_LONG_STRING(INFO, log_str);

        std::string dot = HeapProfiler::instance()->dump_heap_profile_to_dot();

        if (!dot.empty()) {

            dot += "\n-------------------------------------------------------\n";

            dot += "Copy the text after `digraph` in the above output to "

                   "http://www.webgraphviz.com to generate a dot graph.\n"

                   "after start heap profiler, if there is no operation, will print `No nodes "

                   "to "

                   "print`."

                   "If there are many errors: `addr2line: Dwarf Error`,"

                   "or other FAQ, reference doc: "

                   "https://doris.apache.org/community/developer-guide/debug-tool/#4-qa\n";

            auto log_str =

                    fmt::format("Query {}, dump heap profile to dot: {}", print_id(_query_id), dot);

            LOG_LONG_STRING(INFO, log_str);

        }

    }

    set_ready_to_execute(new_status);

    cancel_all_pipeline_context(new_status, fragment_id);

}

void QueryContext::set_load_error_url(std::string error_url) {

    std::lock_guard<std::mutex> lock(_error_url_lock);

    _load_error_url = error_url;

}

std::string QueryContext::get_load_error_url() {

    std::lock_guard<std::mutex> lock(_error_url_lock);

    return _load_error_url;

}

void QueryContext::cancel_all_pipeline_context(const Status& reason, int fragment_id) {

    std::vector<std::weak_ptr<pipeline::PipelineFragmentContext>> ctx_to_cancel;

    {

        std::lock_guard<std::mutex> lock(_pipeline_map_write_lock);

        for (auto& [f_id, f_context] : _fragment_id_to_pipeline_ctx) {

            if (fragment_id == f_id) {

                continue;

            }

            ctx_to_cancel.push_back(f_context);

        }

    }

    for (auto& f_context : ctx_to_cancel) {

        if (auto pipeline_ctx = f_context.lock()) {

            pipeline_ctx->cancel(reason);

        }

    }

}

std::string QueryContext::print_all_pipeline_context() {

    std::vector<std::weak_ptr<pipeline::PipelineFragmentContext>> ctx_to_print;

    fmt::memory_buffer debug_string_buffer;

    size_t i = 0;

    {

        fmt::format_to(debug_string_buffer, "{} pipeline fragment contexts in query {}. \n",

                       _fragment_id_to_pipeline_ctx.size(), print_id(_query_id));

        {

            std::lock_guard<std::mutex> lock(_pipeline_map_write_lock);

            for (auto& [f_id, f_context] : _fragment_id_to_pipeline_ctx) {

                ctx_to_print.push_back(f_context);

            }

        }

        for (auto& f_context : ctx_to_print) {

            if (auto pipeline_ctx = f_context.lock()) {

                auto elapsed = pipeline_ctx->elapsed_time() / 1000000000.0;

                fmt::format_to(debug_string_buffer,

                               "No.{} (elapse_second={}s, fragment_id={}) : {}\n", i, elapsed,

                               pipeline_ctx->get_fragment_id(), pipeline_ctx->debug_string());

                i++;

            }

        }

    }

    return fmt::to_string(debug_string_buffer);

}

void QueryContext::set_pipeline_context(

        const int fragment_id, std::shared_ptr<pipeline::PipelineFragmentContext> pip_ctx) {

    std::lock_guard<std::mutex> lock(_pipeline_map_write_lock);

    _fragment_id_to_pipeline_ctx.insert({fragment_id, pip_ctx});

}

doris::pipeline::TaskScheduler* QueryContext::get_pipe_exec_scheduler() {

    if (!_task_scheduler) {

        throw Exception(Status::InternalError("task_scheduler is null"));

    }

    return _task_scheduler;

}

Status QueryContext::set_workload_group(WorkloadGroupPtr& wg) {

    _resource_ctx->set_workload_group(wg);

    // Should add query first, the workload group will not be deleted,

    // then visit workload group's resource

    // see task_group_manager::delete_workload_group_by_ids

    RETURN_IF_ERROR(workload_group()->add_resource_ctx(_query_id, _resource_ctx));

    workload_group()->get_query_scheduler(&_task_scheduler, &_scan_task_scheduler,

                                          &_remote_scan_task_scheduler);

    return Status::OK();

}

void QueryContext::add_fragment_profile(

        int fragment_id, const std::vector<std::shared_ptr<TRuntimeProfileTree>>& pipeline_profiles,

        std::shared_ptr<TRuntimeProfileTree> load_channel_profile) {

    if (pipeline_profiles.empty()) {

        std::string msg = fmt::format("Add pipeline profile failed, query {}, fragment {}",

                                      print_id(this->_query_id), fragment_id);

        LOG_ERROR(msg);

        DCHECK(false) << msg;

        return;

    }

#ifndef NDEBUG

    for (const auto& p : pipeline_profiles) {

        DCHECK(p != nullptr) << fmt::format("Add pipeline profile failed, query {}, fragment {}",

                                            print_id(this->_query_id), fragment_id);

    }

#endif

    std::lock_guard<std::mutex> l(_profile_mutex);

    VLOG_ROW << fmt::format(

            "Query add fragment profile, query {}, fragment {}, pipeline profile count {} ",

            print_id(this->_query_id), fragment_id, pipeline_profiles.size());

    _profile_map.insert(std::make_pair(fragment_id, pipeline_profiles));

    if (load_channel_profile != nullptr) {

        _load_channel_profile_map.insert(std::make_pair(fragment_id, load_channel_profile));

    }

}

void QueryContext::_report_query_profile() {

    std::lock_guard<std::mutex> lg(_profile_mutex);

    for (auto& [fragment_id, fragment_profile] : _profile_map) {

        std::shared_ptr<TRuntimeProfileTree> load_channel_profile = nullptr;

        if (_load_channel_profile_map.contains(fragment_id)) {

            load_channel_profile = _load_channel_profile_map[fragment_id];

        }

        ExecEnv::GetInstance()->runtime_query_statistics_mgr()->register_fragment_profile(

                _query_id, this->coord_addr, fragment_id, fragment_profile, load_channel_profile);

    }

    ExecEnv::GetInstance()->runtime_query_statistics_mgr()->trigger_profile_reporting();

}

std::unordered_map<int, std::vector<std::shared_ptr<TRuntimeProfileTree>>>

QueryContext::_collect_realtime_query_profile() {

    std::unordered_map<int, std::vector<std::shared_ptr<TRuntimeProfileTree>>> res;

    std::lock_guard<std::mutex> lock(_pipeline_map_write_lock);

    for (const auto& [fragment_id, fragment_ctx_wptr] : _fragment_id_to_pipeline_ctx) {

        if (auto fragment_ctx = fragment_ctx_wptr.lock()) {

            if (fragment_ctx == nullptr) {

                std::string msg =

                        fmt::format("PipelineFragmentContext is nullptr, query {} fragment_id: {}",

                                    print_id(_query_id), fragment_id);

                LOG_ERROR(msg);

                DCHECK(false) << msg;

                continue;

            }

            auto profile = fragment_ctx->collect_realtime_profile();

            if (profile.empty()) {

                std::string err_msg = fmt::format(

                        "Get nothing when collecting profile, query {}, fragment_id: {}",

                        print_id(_query_id), fragment_id);

                LOG_ERROR(err_msg);

                DCHECK(false) << err_msg;

                continue;

            }

            res.insert(std::make_pair(fragment_id, profile));

        }

    }

    return res;

}

TReportExecStatusParams QueryContext::get_realtime_exec_status() {

    TReportExecStatusParams exec_status;

    auto realtime_query_profile = _collect_realtime_query_profile();

    std::vector<std::shared_ptr<TRuntimeProfileTree>> load_channel_profiles;

    for (auto load_channel_profile : _load_channel_profile_map) {

        if (load_channel_profile.second != nullptr) {

            load_channel_profiles.push_back(load_channel_profile.second);

        }

    }

    exec_status = RuntimeQueryStatisticsMgr::create_report_exec_status_params(

            this->_query_id, std::move(realtime_query_profile), std::move(load_channel_profiles),

            /*is_done=*/false);

    return exec_status;

}

} // namespace doris