mirror of
https://github.com/ClickHouse/ClickHouse.git
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cc296a1b8a
Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com>
327 lines
12 KiB
C++
327 lines
12 KiB
C++
#pragma once
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#include <cstdint>
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#include <thread>
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#include <mutex>
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#include <condition_variable>
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#include <functional>
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#include <queue>
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#include <list>
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#include <optional>
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#include <atomic>
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#include <stack>
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#include <boost/heap/priority_queue.hpp>
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#include <Poco/Event.h>
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#include <Common/ThreadStatus.h>
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#include <Common/OpenTelemetryTraceContext.h>
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#include <Common/CurrentMetrics.h>
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#include <Common/ThreadPool_fwd.h>
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#include <Common/Priority.h>
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#include <Common/StackTrace.h>
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#include <base/scope_guard.h>
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class JobWithPriority;
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/** Very simple thread pool similar to boost::threadpool.
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* Advantages:
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* - catches exceptions and rethrows on wait.
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*
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* This thread pool can be used as a task queue.
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* For example, you can create a thread pool with 10 threads (and queue of size 10) and schedule 1000 tasks
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* - in this case you will be blocked to keep 10 tasks in fly.
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*
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* Thread: std::thread or something with identical interface.
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*/
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template <typename Thread>
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class ThreadPoolImpl
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{
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public:
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using Job = std::function<void()>;
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using Metric = CurrentMetrics::Metric;
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/// Maximum number of threads is based on the number of physical cores.
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ThreadPoolImpl(Metric metric_threads_, Metric metric_active_threads_, Metric metric_scheduled_jobs_);
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/// Size is constant. Up to num_threads are created on demand and then run until shutdown.
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explicit ThreadPoolImpl(
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Metric metric_threads_,
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Metric metric_active_threads_,
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Metric metric_scheduled_jobs_,
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size_t max_threads_);
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/// queue_size - maximum number of running plus scheduled jobs. It can be greater than max_threads. Zero means unlimited.
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ThreadPoolImpl(
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Metric metric_threads_,
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Metric metric_active_threads_,
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Metric metric_scheduled_jobs_,
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size_t max_threads_,
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size_t max_free_threads_,
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size_t queue_size_,
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bool shutdown_on_exception_ = true);
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/// Add new job. Locks until number of scheduled jobs is less than maximum or exception in one of threads was thrown.
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/// If any thread was throw an exception, first exception will be rethrown from this method,
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/// and exception will be cleared.
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/// Also throws an exception if cannot create thread.
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/// Priority: lower is higher.
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/// NOTE: Probably you should call wait() if exception was thrown. If some previously scheduled jobs are using some objects,
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/// located on stack of current thread, the stack must not be unwinded until all jobs finished. However,
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/// if ThreadPool is a local object, it will wait for all scheduled jobs in own destructor.
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void scheduleOrThrowOnError(Job job, Priority priority = {});
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/// Similar to scheduleOrThrowOnError(...). Wait for specified amount of time and schedule a job or return false.
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bool trySchedule(Job job, Priority priority = {}, uint64_t wait_microseconds = 0) noexcept;
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/// Similar to scheduleOrThrowOnError(...). Wait for specified amount of time and schedule a job or throw an exception.
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void scheduleOrThrow(Job job, Priority priority = {}, uint64_t wait_microseconds = 0, bool propagate_opentelemetry_tracing_context = true);
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/// Wait for all currently active jobs to be done.
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/// You may call schedule and wait many times in arbitrary order.
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/// If any thread was throw an exception, first exception will be rethrown from this method,
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/// and exception will be cleared.
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void wait();
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/// Waits for all threads. Doesn't rethrow exceptions (use 'wait' method to rethrow exceptions).
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/// You should not destroy object while calling schedule or wait methods from another threads.
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~ThreadPoolImpl();
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/// Returns number of running and scheduled jobs.
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size_t active() const;
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/// Returns true if the pool already terminated
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/// (and any further scheduling will produce CANNOT_SCHEDULE_TASK exception)
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bool finished() const;
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void setMaxThreads(size_t value);
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void setMaxFreeThreads(size_t value);
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void setQueueSize(size_t value);
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size_t getMaxThreads() const;
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/// Adds a callback which is called in destructor after
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/// joining of all threads. The order of calling callbacks
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/// is reversed to the order of their addition.
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/// It may be useful for static thread pools to call
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/// function after joining of threads because order
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/// of destructors of global static objects and callbacks
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/// added by atexit is undefined for different translation units.
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using OnDestroyCallback = std::function<void()>;
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void addOnDestroyCallback(OnDestroyCallback && callback);
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private:
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friend class GlobalThreadPool;
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mutable std::mutex mutex;
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std::condition_variable job_finished;
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std::condition_variable new_job_or_shutdown;
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Metric metric_threads;
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Metric metric_active_threads;
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Metric metric_scheduled_jobs;
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size_t max_threads;
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size_t max_free_threads;
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size_t queue_size;
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size_t scheduled_jobs = 0;
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bool shutdown = false;
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bool threads_remove_themselves = true;
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const bool shutdown_on_exception = true;
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boost::heap::priority_queue<JobWithPriority> jobs;
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std::list<Thread> threads;
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std::exception_ptr first_exception;
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std::stack<OnDestroyCallback> on_destroy_callbacks;
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template <typename ReturnType>
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ReturnType scheduleImpl(Job job, Priority priority, std::optional<uint64_t> wait_microseconds, bool propagate_opentelemetry_tracing_context = true);
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void worker(typename std::list<Thread>::iterator thread_it);
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/// Tries to start new threads if there are scheduled jobs and the limit `max_threads` is not reached. Must be called with `mutex` locked.
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void startNewThreadsNoLock();
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void finalize();
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void onDestroy();
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};
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/// ThreadPool with std::thread for threads.
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using FreeThreadPool = ThreadPoolImpl<std::thread>;
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/** Global ThreadPool that can be used as a singleton.
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* Why it is needed?
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*
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* Linux can create and destroy about 100 000 threads per second (quite good).
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* With simple ThreadPool (based on mutex and condvar) you can assign about 200 000 tasks per second
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* - not much difference comparing to not using a thread pool at all.
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*
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* But if you reuse OS threads instead of creating and destroying them, several benefits exist:
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* - allocator performance will usually be better due to reuse of thread local caches, especially for jemalloc:
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* https://github.com/jemalloc/jemalloc/issues/1347
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* - address sanitizer and thread sanitizer will not fail due to global limit on number of created threads.
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* - program will work faster in gdb;
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*/
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class GlobalThreadPool : public FreeThreadPool, private boost::noncopyable
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{
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static std::unique_ptr<GlobalThreadPool> the_instance;
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GlobalThreadPool(
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size_t max_threads_,
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size_t max_free_threads_,
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size_t queue_size_,
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bool shutdown_on_exception_);
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public:
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static void initialize(size_t max_threads = 10000, size_t max_free_threads = 1000, size_t queue_size = 10000);
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static GlobalThreadPool & instance();
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static void shutdown();
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};
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/** Looks like std::thread but allocates threads in GlobalThreadPool.
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* Also holds ThreadStatus for ClickHouse.
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*
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* NOTE: User code should use 'ThreadFromGlobalPool' declared below instead of directly using this class.
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*
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*/
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template <bool propagate_opentelemetry_context = true>
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class ThreadFromGlobalPoolImpl : boost::noncopyable
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{
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public:
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ThreadFromGlobalPoolImpl() = default;
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template <typename Function, typename... Args>
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explicit ThreadFromGlobalPoolImpl(Function && func, Args &&... args)
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: state(std::make_shared<State>())
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{
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/// NOTE:
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/// - If this will throw an exception, the destructor won't be called
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/// - this pointer cannot be passed in the lambda, since after detach() it will not be valid
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GlobalThreadPool::instance().scheduleOrThrow([
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my_state = state,
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my_func = std::forward<Function>(func),
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my_args = std::make_tuple(std::forward<Args>(args)...)]() mutable /// mutable is needed to destroy capture
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{
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SCOPE_EXIT(
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my_state->thread_id = std::thread::id();
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my_state->event.set();
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);
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my_state->thread_id = std::this_thread::get_id();
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/// This moves are needed to destroy function and arguments before exit.
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/// It will guarantee that after ThreadFromGlobalPool::join all captured params are destroyed.
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auto function = std::move(my_func);
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auto arguments = std::move(my_args);
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/// Thread status holds raw pointer on query context, thus it always must be destroyed
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/// before sending signal that permits to join this thread.
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DB::ThreadStatus thread_status;
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std::apply(function, arguments);
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},
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{}, // default priority
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0, // default wait_microseconds
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propagate_opentelemetry_context
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);
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}
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ThreadFromGlobalPoolImpl(ThreadFromGlobalPoolImpl && rhs) noexcept
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{
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*this = std::move(rhs);
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}
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ThreadFromGlobalPoolImpl & operator=(ThreadFromGlobalPoolImpl && rhs) noexcept
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{
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if (initialized())
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abort();
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state = std::move(rhs.state);
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return *this;
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}
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~ThreadFromGlobalPoolImpl()
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{
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if (initialized())
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abort();
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}
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void join()
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{
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if (!initialized())
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abort();
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state->event.wait();
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state.reset();
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}
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void detach()
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{
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if (!initialized())
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abort();
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state.reset();
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}
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bool joinable() const
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{
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if (!state)
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return false;
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/// Thread cannot join itself.
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if (state->thread_id == std::this_thread::get_id())
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return false;
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return true;
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}
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std::thread::id get_id() const
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{
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return state ? state->thread_id.load() : std::thread::id{};
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}
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protected:
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struct State
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{
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/// Should be atomic() because of possible concurrent access between
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/// assignment and joinable() check.
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std::atomic<std::thread::id> thread_id;
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/// The state used in this object and inside the thread job.
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Poco::Event event;
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};
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std::shared_ptr<State> state;
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/// Internally initialized() should be used over joinable(),
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/// since it is enough to know that the thread is initialized,
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/// and ignore that fact that thread cannot join itself.
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bool initialized() const
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{
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return static_cast<bool>(state);
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}
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};
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/// Schedule jobs/tasks on global thread pool without implicit passing tracing context on current thread to underlying worker as parent tracing context.
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///
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/// If you implement your own job/task scheduling upon global thread pool or schedules a long time running job in a infinite loop way,
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/// you need to use class, or you need to use ThreadFromGlobalPool below.
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///
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/// See the comments of ThreadPool below to know how it works.
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using ThreadFromGlobalPoolNoTracingContextPropagation = ThreadFromGlobalPoolImpl<false>;
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/// An alias of thread that execute jobs/tasks on global thread pool by implicit passing tracing context on current thread to underlying worker as parent tracing context.
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/// If jobs/tasks are directly scheduled by using APIs of this class, you need to use this class or you need to use class above.
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using ThreadFromGlobalPool = ThreadFromGlobalPoolImpl<true>;
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/// Recommended thread pool for the case when multiple thread pools are created and destroyed.
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///
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/// The template parameter of ThreadFromGlobalPool is set to false to disable tracing context propagation to underlying worker.
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/// Because ThreadFromGlobalPool schedules a job upon GlobalThreadPool, this means there will be two workers to schedule a job in 'ThreadPool',
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/// one is at GlobalThreadPool level, the other is at ThreadPool level, so tracing context will be initialized on the same thread twice.
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///
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/// Once the worker on ThreadPool gains the control of execution, it won't return until it's shutdown,
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/// which means the tracing context initialized at underlying worker level won't be deleted for a very long time.
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/// This would cause wrong context for further jobs scheduled in ThreadPool.
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///
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/// To make sure the tracing context is correctly propagated, we explicitly disable context propagation(including initialization and de-initialization) at underlying worker level.
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///
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using ThreadPool = ThreadPoolImpl<ThreadFromGlobalPoolNoTracingContextPropagation>;
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