// 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 "cloud/config.h"

#include "common/logging.h"

#include "common/status.h"

#include "exec/operator/rec_cte_scan_operator.h"

#include "exec/pipeline/dependency.h"

#include "exec/pipeline/pipeline_fragment_context.h"

#include "exec/runtime_filter/runtime_filter_definitions.h"

#include "exec/spill/spill_file_manager.h"

#include "exprs/function/ai/ai_request_executor.h"

#include "io/cache/remote_scan_cache_write_limiter.h"

#include "io/fs/file_range_read_scheduler.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 "storage/olap_common.h"

#include "util/mem_info.h"

#include "util/uid_util.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";

    case QuerySource::EXTERNAL_FRONTEND:

        return "EXTERNAL_FRONTEND";

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

    _memory_sufficient_dependency =

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

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

    _timeout_second = query_options.execution_timeout;

    bool initialize_context_holder =

            config::enable_file_cache && config::enable_file_cache_query_limit &&

            query_options.__isset.enable_file_cache && query_options.enable_file_cache &&

            query_options.__isset.file_cache_query_limit_percent &&

            query_options.file_cache_query_limit_percent < 100;

    // Init query context holders for file cache, if enable query limit feature

    if (initialize_context_holder) {

        _query_context_holders = io::FileCacheFactory::instance()->get_query_context_holders(

                _query_id, query_options.file_cache_query_limit_percent);

    }

    const bool initialize_remote_scan_cache_write_limiter =

            config::is_cloud_mode() && config::enable_file_cache &&

            query_options.__isset.file_cache_query_limit_bytes &&

            query_options.file_cache_query_limit_bytes >= 0 &&

            query_options.query_type == TQueryType::SELECT;

    if (initialize_remote_scan_cache_write_limiter) {

        _remote_scan_cache_write_limiter = std::make_unique<io::RemoteScanCacheWriteLimiter>(

                _query_id, query_options.file_cache_query_limit_bytes);

    }

    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() {

    // If user not set query limit, will use default 1TB memory limit. It is large enough to cover most cases.

    constexpr int64_t DEFAULT_QUERY_MEM_LIMIT = 1LL << 60;

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

    int64_t user_set_mem_limit =

            has_query_mem_limit ? _query_options.mem_limit : DEFAULT_QUERY_MEM_LIMIT;

    int64_t adjusted_mem_limit = user_set_mem_limit;

    if (adjusted_mem_limit > MemInfo::mem_limit()) {

        VLOG_NOTICE << "Query memory limit "

                    << PrettyPrinter::print(user_set_mem_limit, TUnit::BYTES)

                    << " exceeds process memory limit of "

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

                    << ". Using process memory limit instead.";

        adjusted_mem_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()) {

        adjusted_mem_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)),

                adjusted_mem_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)),

                adjusted_mem_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)),

                adjusted_mem_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);

    _resource_ctx->memory_context()->set_user_set_mem_limit(user_set_mem_limit);

}

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

}

void QueryContext::record_spill_data_dir(SpillDataDir* data_dir) {

    std::lock_guard lock(_spill_data_dirs_mutex);

    _spill_data_dirs.emplace(data_dir);

}

QueryContext::~QueryContext() {

    SCOPED_SWITCH_THREAD_MEM_TRACKER_LIMITER(query_mem_tracker());

    {

        std::lock_guard lock(_file_range_read_context_mutex);

        if (_file_range_read_context != nullptr) {

            _file_range_read_context->cancel();

        }

    }

    // 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();

    if (auto* spill_file_mgr = _exec_env->spill_file_mgr()) {

        for (auto* data_dir : _spill_data_dirs) {

            spill_file_mgr->delete_query_spill_directory(print_id(_query_id), data_dir);

        }

    }

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

    // fragment_mgr is nullptr in unittest

    if (ExecEnv::GetInstance()->fragment_mgr()) {

        ExecEnv::GetInstance()->fragment_mgr()->remove_query_context(this->_query_id);

    }

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

    timespec now;

    clock_gettime(CLOCK_MONOTONIC, &now);

    int64_t elapsed_ms = (now.tv_sec - _query_arrival_timestamp.tv_sec) * 1000LL +

                         (now.tv_nsec - _query_arrival_timestamp.tv_nsec) / 1000000LL;

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

             elapsed_ms, 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) {

    if (!_exec_status.update(new_status)) {

        return;

    }

    {

        std::lock_guard lock(_file_range_read_context_mutex);

        if (_file_range_read_context != nullptr) {

            _file_range_read_context->cancel();

        }

    }

    // 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);

    // Copy the fragment contexts under the map lock, then cancel them after releasing it. Fragment

    // cancellation may take task-level locks and must not run while holding the query map lock.

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

    {

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

        for (auto& entry : _fragment_id_to_pipeline_ctx) {

            ctx_to_cancel.push_back(entry.second);

        }

    }

    for (auto& f_context : ctx_to_cancel) {

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

            pipeline_ctx->cancel(new_status);

        }

    }

}

std::shared_ptr<io::FileRangeReadContext> QueryContext::get_or_create_file_range_read_context(

        io::FileRangeReadScheduler* scheduler) {

    DORIS_CHECK(scheduler != nullptr);

    std::lock_guard lock(_file_range_read_context_mutex);

    if (_file_range_read_context == nullptr) {

        _file_range_read_scheduler = scheduler;

        _file_range_read_context = scheduler->create_context();

        if (is_cancelled()) {

            _file_range_read_context->cancel();

        }

    } else {

        DORIS_CHECK(_file_range_read_scheduler == scheduler);

    }

    return _file_range_read_context;

}

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::set_first_error_msg(std::string error_msg) {

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

    _first_error_msg = error_msg;

}

std::string QueryContext::get_first_error_msg() {

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

    return _first_error_msg;

}

std::string QueryContext::print_all_pipeline_context() {

    std::vector<std::weak_ptr<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);

}

std::shared_ptr<AIExecutionStatistics> QueryContext::get_ai_statistics(int fragment_id) {

    std::scoped_lock lock(_ai_statistics_mutex);

    auto& statistics = _ai_statistics[fragment_id];

    if (!statistics) {

        statistics = std::make_shared<AIExecutionStatistics>();

    }

    return statistics;

}

std::shared_ptr<AIExecutionStatistics> QueryContext::find_ai_statistics(int fragment_id) const {

    std::scoped_lock lock(_ai_statistics_mutex);

    auto it = _ai_statistics.find(fragment_id);

    return it == _ai_statistics.end() ? nullptr : it->second;

}

void QueryContext::set_pipeline_context(const int fragment_id,

                                        std::shared_ptr<PipelineFragmentContext> pip_ctx) {

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

    // Use insert_or_assign instead of insert to support overwriting old entries

    // when recursive CTE recreates PipelineFragmentContext between rounds.

    _fragment_id_to_pipeline_ctx.insert_or_assign(fragment_id, pip_ctx);

}

doris::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) {

        // Recursive CTE stages reuse fragment IDs, but the saved profile is the first stage's

        // detached snapshot. Refresh only AI counters from their owner, which accumulates all stages.

        if (auto statistics = find_ai_statistics(fragment_id)) {

            const int profile_level =

                    _query_options.__isset.profile_level ? _query_options.profile_level : 2;

            statistics->update_profile_snapshot(*fragment_profile.front(), profile_level);

        }

        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;

}

Status QueryContext::send_block_to_cte_scan(

        const TUniqueId& instance_id, int node_id,

        const google::protobuf::RepeatedPtrField<doris::PBlock>& pblocks, bool eos) {

    std::unique_lock<std::mutex> l(_cte_scan_lock);

    auto it = _cte_scan.find(std::make_pair(instance_id, node_id));

    if (it == _cte_scan.end()) {

        return Status::InternalError("RecCTEScan not found for instance {}, node {}",

                                     print_id(instance_id), node_id);

    }

    for (const auto& pblock : pblocks) {

        RETURN_IF_ERROR(it->second->add_block(pblock));

    }

    if (eos) {

        it->second->set_ready();

    }

    return Status::OK();

}

void QueryContext::registe_cte_scan(const TUniqueId& instance_id, int node_id,

                                    RecCTEScanLocalState* scan) {

    std::unique_lock<std::mutex> l(_cte_scan_lock);

    auto key = std::make_pair(instance_id, node_id);

    DCHECK(!_cte_scan.contains(key)) << "Duplicate registe cte scan for instance "

                                     << print_id(instance_id) << ", node " << node_id;

    _cte_scan.emplace(key, scan);

}

void QueryContext::deregiste_cte_scan(const TUniqueId& instance_id, int node_id) {

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

    auto key = std::make_pair(instance_id, node_id);

    DCHECK(_cte_scan.contains(key)) << "Duplicate deregiste cte scan for instance "

                                    << print_id(instance_id) << ", node " << node_id;

    _cte_scan.erase(key);

}

Status QueryContext::reset_global_rf(const google::protobuf::RepeatedField<int32_t>& filter_ids) {

    if (_merge_controller_handler) {

        return _merge_controller_handler->reset_global_rf(this, filter_ids);

    }

    return Status::OK();

}

void QueryContext::add_total_task_num(int delta) {

    if (auto* qtc = dynamic_cast<QueryTaskController*>(_resource_ctx->task_controller())) {

        qtc->add_total_task_num(delta);

    }

}

void QueryContext::inc_finished_task_num() {

    if (auto* qtc = dynamic_cast<QueryTaskController*>(_resource_ctx->task_controller())) {

        qtc->inc_finished_task_num();

    }

}

} // namespace doris