2019-01-14 10:59:58 +00:00
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#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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2019-01-14 19:22:09 +00:00
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#include <list>
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#include <optional>
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2019-01-14 10:59:58 +00:00
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2019-03-06 17:54:20 +00:00
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#include <Poco/Event.h>
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2019-01-14 19:22:09 +00:00
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#include <Common/ThreadStatus.h>
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2019-01-14 10:59:58 +00:00
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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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2019-01-14 19:22:09 +00:00
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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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2019-01-14 10:59:58 +00:00
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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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/// Size is constant. Up to num_threads are created on demand and then run until shutdown.
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2019-08-03 11:02:40 +00:00
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explicit ThreadPoolImpl(size_t max_threads_);
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2019-01-14 10:59:58 +00:00
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2019-01-14 19:22:09 +00:00
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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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Do not shutdown global thread pool on exception
Otherwise GlobalThreadPool can be terminated (for example due to an
exception from the ParallelInputsHandler::onFinish/onFinishThread, from
ParallelAggregatingBlockInputStream::Handler::onFinish/onFinishThread,
since writeToTemporaryFile() can definitelly throw) and the server will
not accept new connections (or/and execute queries) anymore.
Here is possible stacktrace (it is a bit inaccurate, due to
optimizations I guess, and it had been obtained with the
DB::tryLogCurrentException() in the catch block of the
ThreadPoolImpl::worker()):
2020.02.16 22:30:40.415246 [ 45909 ] {} <Error> ThreadPool: Unhandled exception in the ThreadPool(10000,1000,10000) the loop will be shutted down: Code: 241, e.displayText() = DB::Exception: Memory limit (total) exceeded: would use 279.40 GiB (attempt to allocate chunk of 4205536 bytes), maximum: 279.40 GiB, Stack trace (when copying this message, always include the lines below):
1. Common/Exception.cpp:35: DB::Exception::Exception(...)
...
6. Common/Allocator.h:102: void DB::PODArrayBase<8ul, 4096ul, Allocator<false, false>, 15ul, 16ul>::reserve<>(unsigned long) (.part.0)
7. Interpreters/Aggregator.cpp:1040: void DB::Aggregator::writeToTemporaryFileImpl<...>(...)
8. Interpreters/Aggregator.cpp:719: DB::Aggregator::writeToTemporaryFile(...)
9. include/memory:4206: DB::Aggregator::writeToTemporaryFile(...)
10. DataStreams/ParallelInputsProcessor.h:223: DB::ParallelInputsProcessor<DB::ParallelAggregatingBlockInputStream::Handler>::thread(...)
Refs: https://github.com/ClickHouse/ClickHouse/issues/6833#issuecomment-579221732
(Reference to particular comment, since I'm not sure about the initial issue)
2020-02-17 20:15:29 +00:00
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ThreadPoolImpl(size_t max_threads_, size_t max_free_threads_, size_t queue_size_, bool shutdown_on_exception_ = true);
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2019-01-14 10:59:58 +00:00
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2019-01-14 19:22:09 +00:00
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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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2019-10-17 14:41:27 +00:00
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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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2019-01-14 10:59:58 +00:00
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/// Priority: greater is higher.
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2019-10-17 14:41:27 +00:00
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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, int priority = 0);
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2019-01-14 10:59:58 +00:00
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2019-10-17 14:41:27 +00:00
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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, int priority = 0, uint64_t wait_microseconds = 0) noexcept;
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2019-01-14 19:22:09 +00:00
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2019-10-17 14:41:27 +00:00
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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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2019-01-14 19:22:09 +00:00
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void scheduleOrThrow(Job job, int priority = 0, uint64_t wait_microseconds = 0);
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2019-01-14 10:59:58 +00:00
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/// Wait for all currently active jobs to be done.
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2019-10-17 14:41:27 +00:00
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/// You may call schedule and wait many times in arbitrary order.
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2019-01-14 10:59:58 +00:00
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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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2019-08-02 17:14:04 +00:00
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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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2019-01-14 10:59:58 +00:00
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private:
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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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2019-08-02 17:14:04 +00:00
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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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2019-01-14 10:59:58 +00:00
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2019-01-14 19:22:09 +00:00
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size_t scheduled_jobs = 0;
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2019-01-14 10:59:58 +00:00
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bool shutdown = false;
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Do not shutdown global thread pool on exception
Otherwise GlobalThreadPool can be terminated (for example due to an
exception from the ParallelInputsHandler::onFinish/onFinishThread, from
ParallelAggregatingBlockInputStream::Handler::onFinish/onFinishThread,
since writeToTemporaryFile() can definitelly throw) and the server will
not accept new connections (or/and execute queries) anymore.
Here is possible stacktrace (it is a bit inaccurate, due to
optimizations I guess, and it had been obtained with the
DB::tryLogCurrentException() in the catch block of the
ThreadPoolImpl::worker()):
2020.02.16 22:30:40.415246 [ 45909 ] {} <Error> ThreadPool: Unhandled exception in the ThreadPool(10000,1000,10000) the loop will be shutted down: Code: 241, e.displayText() = DB::Exception: Memory limit (total) exceeded: would use 279.40 GiB (attempt to allocate chunk of 4205536 bytes), maximum: 279.40 GiB, Stack trace (when copying this message, always include the lines below):
1. Common/Exception.cpp:35: DB::Exception::Exception(...)
...
6. Common/Allocator.h:102: void DB::PODArrayBase<8ul, 4096ul, Allocator<false, false>, 15ul, 16ul>::reserve<>(unsigned long) (.part.0)
7. Interpreters/Aggregator.cpp:1040: void DB::Aggregator::writeToTemporaryFileImpl<...>(...)
8. Interpreters/Aggregator.cpp:719: DB::Aggregator::writeToTemporaryFile(...)
9. include/memory:4206: DB::Aggregator::writeToTemporaryFile(...)
10. DataStreams/ParallelInputsProcessor.h:223: DB::ParallelInputsProcessor<DB::ParallelAggregatingBlockInputStream::Handler>::thread(...)
Refs: https://github.com/ClickHouse/ClickHouse/issues/6833#issuecomment-579221732
(Reference to particular comment, since I'm not sure about the initial issue)
2020-02-17 20:15:29 +00:00
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const bool shutdown_on_exception = true;
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2019-01-14 10:59:58 +00:00
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struct JobWithPriority
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{
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Job job;
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int priority;
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2019-08-03 11:02:40 +00:00
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JobWithPriority(Job job_, int priority_)
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: job(job_), priority(priority_) {}
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2019-01-14 10:59:58 +00:00
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bool operator< (const JobWithPriority & rhs) const
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{
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return priority < rhs.priority;
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}
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};
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std::priority_queue<JobWithPriority> jobs;
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2019-01-14 19:22:09 +00:00
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std::list<Thread> threads;
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2019-01-14 10:59:58 +00:00
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std::exception_ptr first_exception;
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2019-01-14 19:22:09 +00:00
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template <typename ReturnType>
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ReturnType scheduleImpl(Job job, int priority, std::optional<uint64_t> wait_microseconds);
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void worker(typename std::list<Thread>::iterator thread_it);
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2019-01-14 10:59:58 +00:00
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void finalize();
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};
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2019-01-14 19:22:09 +00:00
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/// ThreadPool with std::thread for threads.
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2019-01-14 10:59:58 +00:00
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using FreeThreadPool = ThreadPoolImpl<std::thread>;
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2019-01-14 19:22:09 +00:00
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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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2019-08-22 03:24:05 +00:00
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class GlobalThreadPool : public FreeThreadPool, private boost::noncopyable
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2019-01-14 10:59:58 +00:00
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{
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public:
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Do not shutdown global thread pool on exception
Otherwise GlobalThreadPool can be terminated (for example due to an
exception from the ParallelInputsHandler::onFinish/onFinishThread, from
ParallelAggregatingBlockInputStream::Handler::onFinish/onFinishThread,
since writeToTemporaryFile() can definitelly throw) and the server will
not accept new connections (or/and execute queries) anymore.
Here is possible stacktrace (it is a bit inaccurate, due to
optimizations I guess, and it had been obtained with the
DB::tryLogCurrentException() in the catch block of the
ThreadPoolImpl::worker()):
2020.02.16 22:30:40.415246 [ 45909 ] {} <Error> ThreadPool: Unhandled exception in the ThreadPool(10000,1000,10000) the loop will be shutted down: Code: 241, e.displayText() = DB::Exception: Memory limit (total) exceeded: would use 279.40 GiB (attempt to allocate chunk of 4205536 bytes), maximum: 279.40 GiB, Stack trace (when copying this message, always include the lines below):
1. Common/Exception.cpp:35: DB::Exception::Exception(...)
...
6. Common/Allocator.h:102: void DB::PODArrayBase<8ul, 4096ul, Allocator<false, false>, 15ul, 16ul>::reserve<>(unsigned long) (.part.0)
7. Interpreters/Aggregator.cpp:1040: void DB::Aggregator::writeToTemporaryFileImpl<...>(...)
8. Interpreters/Aggregator.cpp:719: DB::Aggregator::writeToTemporaryFile(...)
9. include/memory:4206: DB::Aggregator::writeToTemporaryFile(...)
10. DataStreams/ParallelInputsProcessor.h:223: DB::ParallelInputsProcessor<DB::ParallelAggregatingBlockInputStream::Handler>::thread(...)
Refs: https://github.com/ClickHouse/ClickHouse/issues/6833#issuecomment-579221732
(Reference to particular comment, since I'm not sure about the initial issue)
2020-02-17 20:15:29 +00:00
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GlobalThreadPool() : FreeThreadPool(10000, 1000, 10000, false) {}
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2019-08-22 03:24:05 +00:00
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static GlobalThreadPool & instance();
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2019-01-14 10:59:58 +00:00
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};
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2019-01-14 19:22:09 +00:00
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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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2019-01-14 10:59:58 +00:00
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class ThreadFromGlobalPool
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{
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public:
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ThreadFromGlobalPool() {}
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2019-01-14 19:22:09 +00:00
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template <typename Function, typename... Args>
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explicit ThreadFromGlobalPool(Function && func, Args &&... args)
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2019-03-06 17:54:20 +00:00
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: state(std::make_shared<Poco::Event>())
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2019-01-14 10:59:58 +00:00
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{
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2019-10-17 14:41:27 +00:00
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/// NOTE: If this will throw an exception, the destructor won't be called.
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2019-01-14 19:22:09 +00:00
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GlobalThreadPool::instance().scheduleOrThrow([
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2019-03-06 16:46:05 +00:00
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state = state,
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2019-01-14 19:22:09 +00:00
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func = std::forward<Function>(func),
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args = std::make_tuple(std::forward<Args>(args)...)]
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{
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2020-01-28 13:47:47 +00:00
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try
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2019-03-06 19:57:54 +00:00
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{
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2020-01-28 13:47:47 +00:00
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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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2019-03-06 19:57:54 +00:00
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DB::ThreadStatus thread_status;
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std::apply(func, args);
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}
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2020-01-28 13:47:47 +00:00
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catch (...)
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{
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state->set();
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throw;
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}
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2019-03-06 17:54:20 +00:00
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state->set();
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2019-01-14 19:22:09 +00:00
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});
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2019-01-14 10:59:58 +00:00
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}
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ThreadFromGlobalPool(ThreadFromGlobalPool && rhs)
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{
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*this = std::move(rhs);
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}
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ThreadFromGlobalPool & operator=(ThreadFromGlobalPool && rhs)
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{
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2019-02-25 15:45:07 +00:00
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if (joinable())
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2019-01-14 10:59:58 +00:00
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std::terminate();
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2019-03-06 16:46:05 +00:00
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state = std::move(rhs.state);
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2019-01-14 10:59:58 +00:00
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return *this;
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}
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~ThreadFromGlobalPool()
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{
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2019-02-25 15:45:07 +00:00
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if (joinable())
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2019-01-14 10:59:58 +00:00
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std::terminate();
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}
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void join()
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{
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2019-02-25 15:45:07 +00:00
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if (!joinable())
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std::terminate();
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2019-03-06 16:46:05 +00:00
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state->wait();
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state.reset();
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2019-01-14 10:59:58 +00:00
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}
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2019-01-14 19:22:09 +00:00
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2019-02-25 15:45:07 +00:00
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void detach()
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{
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if (!joinable())
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std::terminate();
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2019-03-06 16:46:05 +00:00
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state.reset();
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2019-02-25 15:45:07 +00:00
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}
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2019-01-14 19:22:09 +00:00
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bool joinable() const
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{
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2019-03-06 16:46:05 +00:00
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return state != nullptr;
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2019-01-14 19:22:09 +00:00
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}
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2019-01-14 10:59:58 +00:00
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private:
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2019-03-06 16:46:05 +00:00
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/// The state used in this object and inside the thread job.
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2019-03-06 17:54:20 +00:00
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std::shared_ptr<Poco::Event> state;
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2019-01-14 10:59:58 +00:00
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};
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2019-01-14 19:22:09 +00:00
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/// Recommended thread pool for the case when multiple thread pools are created and destroyed.
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2019-01-14 10:59:58 +00:00
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using ThreadPool = ThreadPoolImpl<ThreadFromGlobalPool>;
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