287 lines
11 KiB
C++
287 lines
11 KiB
C++
// Licensed to the Apache Software Foundation (ASF) under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#pragma once
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#include <gen_cpp/PaloInternalService_types.h>
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#include <gen_cpp/Types_types.h>
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#include <atomic>
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#include <memory>
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#include <string>
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#include "common/config.h"
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#include "common/factory_creator.h"
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#include "common/object_pool.h"
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#include "runtime/datetime_value.h"
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#include "runtime/exec_env.h"
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#include "runtime/memory/mem_tracker_limiter.h"
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#include "runtime/runtime_filter_mgr.h"
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#include "runtime/runtime_predicate.h"
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#include "task_group/task_group.h"
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#include "util/pretty_printer.h"
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#include "util/threadpool.h"
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#include "vec/exec/scan/scanner_scheduler.h"
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#include "vec/runtime/shared_hash_table_controller.h"
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#include "vec/runtime/shared_scanner_controller.h"
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namespace doris {
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struct ReportStatusRequest {
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bool is_pipeline_x;
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const Status& status;
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std::vector<RuntimeState*> runtime_states;
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RuntimeProfile* profile;
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RuntimeProfile* load_channel_profile;
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bool done;
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TNetworkAddress coord_addr;
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TUniqueId query_id;
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int fragment_id;
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TUniqueId fragment_instance_id;
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int backend_num;
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RuntimeState* runtime_state;
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std::function<Status(Status)> update_fn;
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std::function<void(const PPlanFragmentCancelReason&, const std::string&)> cancel_fn;
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};
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// Save the common components of fragments in a query.
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// Some components like DescriptorTbl may be very large
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// that will slow down each execution of fragments when DeSer them every time.
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class DescriptorTbl;
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class QueryContext {
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ENABLE_FACTORY_CREATOR(QueryContext);
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public:
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QueryContext(TUniqueId query_id, int total_fragment_num, ExecEnv* exec_env,
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const TQueryOptions& query_options)
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: fragment_num(total_fragment_num),
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timeout_second(-1),
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_query_id(query_id),
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_exec_env(exec_env),
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_runtime_filter_mgr(new RuntimeFilterMgr(TUniqueId(), this)),
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_query_options(query_options) {
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_start_time = vectorized::VecDateTimeValue::local_time();
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_shared_hash_table_controller.reset(new vectorized::SharedHashTableController());
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_shared_scanner_controller.reset(new vectorized::SharedScannerController());
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}
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~QueryContext() {
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// query mem tracker consumption is equal to 0, it means that after QueryContext is created,
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// it is found that query already exists in _query_ctx_map, and query mem tracker is not used.
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// query mem tracker consumption is not equal to 0 after use, because there is memory consumed
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// on query mem tracker, released on other trackers.
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if (query_mem_tracker->peak_consumption() != 0) {
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LOG(INFO) << fmt::format(
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"Deregister query/load memory tracker, queryId={}, Limit={}, CurrUsed={}, "
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"PeakUsed={}",
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print_id(_query_id), MemTracker::print_bytes(query_mem_tracker->limit()),
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MemTracker::print_bytes(query_mem_tracker->consumption()),
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MemTracker::print_bytes(query_mem_tracker->peak_consumption()));
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}
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if (_task_group) {
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_task_group->remove_mem_tracker_limiter(query_mem_tracker);
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}
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}
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// Notice. For load fragments, the fragment_num sent by FE has a small probability of 0.
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// this may be a bug, bug <= 1 in theory it shouldn't cause any problems at this stage.
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bool countdown(int instance_num) { return fragment_num.fetch_sub(instance_num) <= 1; }
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ExecEnv* exec_env() { return _exec_env; }
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bool is_timeout(const vectorized::VecDateTimeValue& now) const {
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if (timeout_second <= 0) {
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return false;
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}
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if (now.second_diff(_start_time) > timeout_second) {
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return true;
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}
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return false;
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}
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void set_thread_token(int concurrency, bool is_serial) {
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_thread_token = _exec_env->scanner_scheduler()->new_limited_scan_pool_token(
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is_serial ? ThreadPool::ExecutionMode::SERIAL
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: ThreadPool::ExecutionMode::CONCURRENT,
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concurrency);
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}
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ThreadPoolToken* get_token() { return _thread_token.get(); }
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void set_ready_to_execute(bool is_cancelled) {
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{
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std::lock_guard<std::mutex> l(_start_lock);
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_is_cancelled = is_cancelled;
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_ready_to_execute = true;
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}
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if (query_mem_tracker && is_cancelled) {
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query_mem_tracker->set_is_query_cancelled(is_cancelled);
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}
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_start_cond.notify_all();
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}
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[[nodiscard]] bool is_cancelled() const { return _is_cancelled.load(); }
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bool cancel(bool v, std::string msg, Status new_status) {
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if (_is_cancelled) {
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return false;
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}
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_is_cancelled.store(v);
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set_ready_to_execute(true);
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set_exec_status(new_status);
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return true;
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}
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void set_exec_status(Status new_status) {
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if (new_status.ok()) {
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return;
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}
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std::lock_guard<std::mutex> l(_exec_status_lock);
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if (!_exec_status.ok()) {
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return;
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}
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_exec_status = new_status;
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}
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[[nodiscard]] Status exec_status() {
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std::lock_guard<std::mutex> l(_exec_status_lock);
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return _exec_status;
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}
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void set_ready_to_execute_only() {
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{
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std::lock_guard<std::mutex> l(_start_lock);
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_ready_to_execute = true;
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}
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_start_cond.notify_all();
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}
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bool is_ready_to_execute() {
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std::lock_guard<std::mutex> l(_start_lock);
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return _ready_to_execute;
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}
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bool wait_for_start() {
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int wait_time = config::max_fragment_start_wait_time_seconds;
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std::unique_lock<std::mutex> l(_start_lock);
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while (!_ready_to_execute.load() && !_is_cancelled.load() && --wait_time > 0) {
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_start_cond.wait_for(l, std::chrono::seconds(1));
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}
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return _ready_to_execute.load() && !_is_cancelled.load();
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}
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std::shared_ptr<vectorized::SharedHashTableController> get_shared_hash_table_controller() {
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return _shared_hash_table_controller;
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}
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std::shared_ptr<vectorized::SharedScannerController> get_shared_scanner_controller() {
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return _shared_scanner_controller;
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}
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vectorized::RuntimePredicate& get_runtime_predicate() { return _runtime_predicate; }
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void set_task_group(taskgroup::TaskGroupPtr& tg) { _task_group = tg; }
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taskgroup::TaskGroup* get_task_group() const { return _task_group.get(); }
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int execution_timeout() const {
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return _query_options.__isset.execution_timeout ? _query_options.execution_timeout
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: _query_options.query_timeout;
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}
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int32_t runtime_filter_wait_time_ms() const {
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return _query_options.runtime_filter_wait_time_ms;
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}
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bool enable_pipeline_exec() const {
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return _query_options.__isset.enable_pipeline_engine &&
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_query_options.enable_pipeline_engine;
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}
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int be_exec_version() const {
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if (!_query_options.__isset.be_exec_version) {
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return 0;
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}
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return _query_options.be_exec_version;
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}
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[[nodiscard]] int64_t get_fe_process_uuid() const { return _query_options.fe_process_uuid; }
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RuntimeFilterMgr* runtime_filter_mgr() { return _runtime_filter_mgr.get(); }
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TUniqueId query_id() const { return _query_id; }
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public:
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DescriptorTbl* desc_tbl;
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bool set_rsc_info = false;
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std::string user;
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std::string group;
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TNetworkAddress coord_addr;
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TQueryGlobals query_globals;
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/// In the current implementation, for multiple fragments executed by a query on the same BE node,
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/// we store some common components in QueryContext, and save QueryContext in FragmentMgr.
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/// When all Fragments are executed, QueryContext needs to be deleted from FragmentMgr.
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/// Here we use a counter to store the number of Fragments that have not yet been completed,
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/// and after each Fragment is completed, this value will be reduced by one.
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/// When the last Fragment is completed, the counter is cleared, and the worker thread of the last Fragment
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/// will clean up QueryContext.
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std::atomic<int> fragment_num;
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int timeout_second;
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ObjectPool obj_pool;
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// MemTracker that is shared by all fragment instances running on this host.
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std::shared_ptr<MemTrackerLimiter> query_mem_tracker;
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std::vector<TUniqueId> fragment_ids;
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// plan node id -> TFileScanRangeParams
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// only for file scan node
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std::map<int, TFileScanRangeParams> file_scan_range_params_map;
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private:
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TUniqueId _query_id;
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ExecEnv* _exec_env;
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vectorized::VecDateTimeValue _start_time;
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// A token used to submit olap scanner to the "_limited_scan_thread_pool",
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// This thread pool token is created from "_limited_scan_thread_pool" from exec env.
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// And will be shared by all instances of this query.
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// So that we can control the max thread that a query can be used to execute.
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// If this token is not set, the scanner will be executed in "_scan_thread_pool" in exec env.
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std::unique_ptr<ThreadPoolToken> _thread_token;
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std::mutex _start_lock;
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std::condition_variable _start_cond;
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// Only valid when _need_wait_execution_trigger is set to true in PlanFragmentExecutor.
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// And all fragments of this query will start execution when this is set to true.
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std::atomic<bool> _ready_to_execute {false};
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std::atomic<bool> _is_cancelled {false};
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std::shared_ptr<vectorized::SharedHashTableController> _shared_hash_table_controller;
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std::shared_ptr<vectorized::SharedScannerController> _shared_scanner_controller;
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vectorized::RuntimePredicate _runtime_predicate;
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taskgroup::TaskGroupPtr _task_group;
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std::unique_ptr<RuntimeFilterMgr> _runtime_filter_mgr;
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const TQueryOptions _query_options;
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std::mutex _exec_status_lock;
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// All pipeline tasks use the same query context to report status. So we need a `_exec_status`
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// to report the real message if failed.
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Status _exec_status = Status::OK();
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};
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} // namespace doris
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