#pragma once #include #include #include #include #include #include #include #include #include #include #include /** Very simple thread pool similar to boost::threadpool. * Advantages: * - catches exceptions and rethrows on wait. * * This thread pool can be used as a task queue. * For example, you can create a thread pool with 10 threads (and queue of size 10) and schedule 1000 tasks * - in this case you will be blocked to keep 10 tasks in fly. * * Thread: std::thread or something with identical interface. */ template class ThreadPoolImpl { public: using Job = std::function; /// Size is constant. Up to num_threads are created on demand and then run until shutdown. explicit ThreadPoolImpl(size_t max_threads_); /// queue_size - maximum number of running plus scheduled jobs. It can be greater than max_threads. Zero means unlimited. ThreadPoolImpl(size_t max_threads_, size_t max_free_threads_, size_t queue_size_); /// Add new job. Locks until number of scheduled jobs is less than maximum or exception in one of threads was thrown. /// If an exception in some thread was thrown, method silently returns, and exception will be rethrown only on call to 'wait' function. /// Priority: greater is higher. void schedule(Job job, int priority = 0); /// Wait for specified amount of time and schedule a job or return false. bool trySchedule(Job job, int priority = 0, uint64_t wait_microseconds = 0); /// Wait for specified amount of time and schedule a job or throw an exception. void scheduleOrThrow(Job job, int priority = 0, uint64_t wait_microseconds = 0); /// Wait for all currently active jobs to be done. /// You may call schedule and wait many times in arbitary order. /// If any thread was throw an exception, first exception will be rethrown from this method, /// and exception will be cleared. void wait(); /// Waits for all threads. Doesn't rethrow exceptions (use 'wait' method to rethrow exceptions). /// You should not destroy object while calling schedule or wait methods from another threads. ~ThreadPoolImpl(); /// Returns number of running and scheduled jobs. size_t active() const; void setMaxThreads(size_t value); void setMaxFreeThreads(size_t value); void setQueueSize(size_t value); private: mutable std::mutex mutex; std::condition_variable job_finished; std::condition_variable new_job_or_shutdown; size_t max_threads; size_t max_free_threads; size_t queue_size; size_t scheduled_jobs = 0; bool shutdown = false; struct JobWithPriority { Job job; int priority; JobWithPriority(Job job_, int priority_) : job(job_), priority(priority_) {} bool operator< (const JobWithPriority & rhs) const { return priority < rhs.priority; } }; std::priority_queue jobs; std::list threads; std::exception_ptr first_exception; template ReturnType scheduleImpl(Job job, int priority, std::optional wait_microseconds); void worker(typename std::list::iterator thread_it); void finalize(); }; /// ThreadPool with std::thread for threads. using FreeThreadPool = ThreadPoolImpl; /** Global ThreadPool that can be used as a singleton. * Why it is needed? * * Linux can create and destroy about 100 000 threads per second (quite good). * With simple ThreadPool (based on mutex and condvar) you can assign about 200 000 tasks per second * - not much difference comparing to not using a thread pool at all. * * But if you reuse OS threads instead of creating and destroying them, several benefits exist: * - allocator performance will usually be better due to reuse of thread local caches, especially for jemalloc: * https://github.com/jemalloc/jemalloc/issues/1347 * - address sanitizer and thread sanitizer will not fail due to global limit on number of created threads. * - program will work faster in gdb; */ class GlobalThreadPool : public FreeThreadPool, public ext::singleton { public: GlobalThreadPool() : FreeThreadPool(10000, 1000, 10000) {} }; /** Looks like std::thread but allocates threads in GlobalThreadPool. * Also holds ThreadStatus for ClickHouse. */ class ThreadFromGlobalPool { public: ThreadFromGlobalPool() {} template explicit ThreadFromGlobalPool(Function && func, Args &&... args) : state(std::make_shared()) { /// NOTE: If this will throw an exception, the descructor won't be called. GlobalThreadPool::instance().scheduleOrThrow([ state = state, func = std::forward(func), args = std::make_tuple(std::forward(args)...)] { { DB::ThreadStatus thread_status; std::apply(func, args); } state->set(); }); } ThreadFromGlobalPool(ThreadFromGlobalPool && rhs) { *this = std::move(rhs); } ThreadFromGlobalPool & operator=(ThreadFromGlobalPool && rhs) { if (joinable()) std::terminate(); state = std::move(rhs.state); return *this; } ~ThreadFromGlobalPool() { if (joinable()) std::terminate(); } void join() { if (!joinable()) std::terminate(); state->wait(); state.reset(); } void detach() { if (!joinable()) std::terminate(); state.reset(); } bool joinable() const { return state != nullptr; } private: /// The state used in this object and inside the thread job. std::shared_ptr state; }; /// Recommended thread pool for the case when multiple thread pools are created and destroyed. using ThreadPool = ThreadPoolImpl; /// Allows to save first catched exception in jobs and postpone its rethrow. class ExceptionHandler { public: void setException(std::exception_ptr && exception); void throwIfException(); private: std::exception_ptr first_exception; std::mutex mutex; }; ThreadPool::Job createExceptionHandledJob(ThreadPool::Job job, ExceptionHandler & handler);