ClickHouse/dbms/src/Common/ThreadPool.h
2019-01-14 22:22:09 +03:00

204 lines
6.1 KiB
C++

#pragma once
#include <cstdint>
#include <thread>
#include <mutex>
#include <condition_variable>
#include <functional>
#include <queue>
#include <list>
#include <optional>
#include <ext/singleton.h>
#include <Common/ThreadStatus.h>
/** 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 <typename Thread>
class ThreadPoolImpl
{
public:
using Job = std::function<void()>;
/// 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;
private:
mutable std::mutex mutex;
std::condition_variable job_finished;
std::condition_variable new_job_or_shutdown;
const size_t max_threads;
const size_t max_free_threads;
const 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<JobWithPriority> jobs;
std::list<Thread> threads;
std::exception_ptr first_exception;
template <typename ReturnType>
ReturnType scheduleImpl(Job job, int priority, std::optional<uint64_t> wait_microseconds);
void worker(typename std::list<Thread>::iterator thread_it);
void finalize();
};
/// ThreadPool with std::thread for threads.
using FreeThreadPool = ThreadPoolImpl<std::thread>;
/** 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<GlobalThreadPool>
{
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 <typename Function, typename... Args>
explicit ThreadFromGlobalPool(Function && func, Args &&... args)
{
mutex = std::make_unique<std::mutex>();
/// The function object must be copyable, so we wrap lock_guard in shared_ptr.
GlobalThreadPool::instance().scheduleOrThrow([
lock = std::make_shared<std::lock_guard<std::mutex>>(*mutex),
func = std::forward<Function>(func),
args = std::make_tuple(std::forward<Args>(args)...)]
{
DB::ThreadStatus thread_status;
std::apply(func, args);
});
}
ThreadFromGlobalPool(ThreadFromGlobalPool && rhs)
{
*this = std::move(rhs);
}
ThreadFromGlobalPool & operator=(ThreadFromGlobalPool && rhs)
{
if (mutex)
std::terminate();
mutex = std::move(rhs.mutex);
return *this;
}
~ThreadFromGlobalPool()
{
if (mutex)
std::terminate();
}
void join()
{
{
std::lock_guard lock(*mutex);
}
mutex.reset();
}
bool joinable() const
{
return static_cast<bool>(mutex);
}
private:
std::unique_ptr<std::mutex> mutex; /// Object must be moveable.
};
/// Recommended thread pool for the case when multiple thread pools are created and destroyed.
using ThreadPool = ThreadPoolImpl<ThreadFromGlobalPool>;
/// 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);