2019-01-14 19:22:09 +00:00
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#include <Common/ThreadPool.h>
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#include <Common/Exception.h>
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2020-06-22 19:04:12 +00:00
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#include <cassert>
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2019-01-14 19:22:09 +00:00
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#include <type_traits>
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2020-06-14 06:43:01 +00:00
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#include <Poco/Util/Application.h>
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#include <Poco/Util/LayeredConfiguration.h>
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2019-01-14 19:22:09 +00:00
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int CANNOT_SCHEDULE_TASK;
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}
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}
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2019-01-14 10:59:58 +00:00
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2019-08-01 20:09:38 +00:00
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namespace CurrentMetrics
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{
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extern const Metric GlobalThread;
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extern const Metric GlobalThreadActive;
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extern const Metric LocalThread;
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extern const Metric LocalThreadActive;
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}
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2019-01-14 10:59:58 +00:00
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template <typename Thread>
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2019-08-03 11:02:40 +00:00
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ThreadPoolImpl<Thread>::ThreadPoolImpl(size_t max_threads_)
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: ThreadPoolImpl(max_threads_, max_threads_, max_threads_)
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2019-01-14 10:59:58 +00:00
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{
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}
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template <typename Thread>
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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<Thread>::ThreadPoolImpl(size_t max_threads_, size_t max_free_threads_, size_t queue_size_, bool shutdown_on_exception_)
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: max_threads(max_threads_)
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, max_free_threads(max_free_threads_)
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, queue_size(queue_size_)
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, shutdown_on_exception(shutdown_on_exception_)
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2019-01-14 10:59:58 +00:00
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{
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}
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2019-08-02 17:14:04 +00:00
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template <typename Thread>
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void ThreadPoolImpl<Thread>::setMaxThreads(size_t value)
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{
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std::lock_guard lock(mutex);
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max_threads = value;
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}
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template <typename Thread>
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void ThreadPoolImpl<Thread>::setMaxFreeThreads(size_t value)
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{
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std::lock_guard lock(mutex);
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max_free_threads = value;
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}
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template <typename Thread>
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void ThreadPoolImpl<Thread>::setQueueSize(size_t value)
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{
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std::lock_guard lock(mutex);
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queue_size = value;
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}
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2019-01-14 10:59:58 +00:00
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template <typename Thread>
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2019-01-14 19:22:09 +00:00
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template <typename ReturnType>
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ReturnType ThreadPoolImpl<Thread>::scheduleImpl(Job job, int priority, std::optional<uint64_t> wait_microseconds)
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2019-01-14 10:59:58 +00:00
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{
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2019-06-29 22:37:46 +00:00
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auto on_error = [&]
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2019-01-14 19:22:09 +00:00
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{
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if constexpr (std::is_same_v<ReturnType, void>)
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2019-06-29 22:37:46 +00:00
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{
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if (first_exception)
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{
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std::exception_ptr exception;
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std::swap(exception, first_exception);
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std::rethrow_exception(exception);
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}
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2019-01-14 19:22:09 +00:00
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throw DB::Exception("Cannot schedule a task", DB::ErrorCodes::CANNOT_SCHEDULE_TASK);
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2019-06-29 22:37:46 +00:00
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}
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2019-01-14 19:22:09 +00:00
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else
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return false;
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};
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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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std::unique_lock lock(mutex);
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auto pred = [this] { return !queue_size || scheduled_jobs < queue_size || shutdown; };
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2019-08-02 17:14:04 +00:00
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if (wait_microseconds) /// Check for optional. Condition is true if the optional is set and the value is zero.
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2019-01-14 19:22:09 +00:00
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{
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if (!job_finished.wait_for(lock, std::chrono::microseconds(*wait_microseconds), pred))
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return on_error();
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}
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else
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job_finished.wait(lock, pred);
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2019-01-14 10:59:58 +00:00
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if (shutdown)
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2019-01-14 19:22:09 +00:00
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return on_error();
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2019-01-14 10:59:58 +00:00
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jobs.emplace(std::move(job), priority);
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2019-01-14 19:22:09 +00:00
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++scheduled_jobs;
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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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if (threads.size() < std::min(max_threads, scheduled_jobs))
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{
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threads.emplace_front();
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try
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{
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threads.front() = Thread([this, it = threads.begin()] { worker(it); });
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}
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catch (...)
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{
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threads.pop_front();
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2019-08-02 17:14:04 +00:00
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/// Remove the job and return error to caller.
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/// Note that if we have allocated at least one thread, we may continue
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/// (one thread is enough to process all jobs).
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/// But this condition indicate an error nevertheless and better to refuse.
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jobs.pop();
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--scheduled_jobs;
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return on_error();
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2019-01-14 19:22:09 +00:00
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}
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}
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2019-01-14 10:59:58 +00:00
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}
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new_job_or_shutdown.notify_one();
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2019-01-14 19:22:09 +00:00
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return ReturnType(true);
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}
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template <typename Thread>
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2019-10-17 14:41:27 +00:00
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void ThreadPoolImpl<Thread>::scheduleOrThrowOnError(Job job, int priority)
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2019-01-14 19:22:09 +00:00
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{
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scheduleImpl<void>(std::move(job), priority, std::nullopt);
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}
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template <typename Thread>
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2019-10-17 14:41:27 +00:00
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bool ThreadPoolImpl<Thread>::trySchedule(Job job, int priority, uint64_t wait_microseconds) noexcept
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2019-01-14 19:22:09 +00:00
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{
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return scheduleImpl<bool>(std::move(job), priority, wait_microseconds);
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}
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template <typename Thread>
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void ThreadPoolImpl<Thread>::scheduleOrThrow(Job job, int priority, uint64_t wait_microseconds)
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{
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scheduleImpl<void>(std::move(job), priority, wait_microseconds);
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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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void ThreadPoolImpl<Thread>::wait()
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{
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{
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2019-01-14 19:22:09 +00:00
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std::unique_lock lock(mutex);
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job_finished.wait(lock, [this] { return scheduled_jobs == 0; });
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2019-01-14 10:59:58 +00:00
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if (first_exception)
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{
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std::exception_ptr exception;
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std::swap(exception, first_exception);
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std::rethrow_exception(exception);
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}
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}
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}
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template <typename Thread>
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ThreadPoolImpl<Thread>::~ThreadPoolImpl()
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{
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finalize();
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}
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template <typename Thread>
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void ThreadPoolImpl<Thread>::finalize()
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{
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{
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2019-01-14 19:22:09 +00:00
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std::unique_lock lock(mutex);
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2019-01-14 10:59:58 +00:00
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shutdown = true;
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}
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new_job_or_shutdown.notify_all();
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for (auto & thread : threads)
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thread.join();
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threads.clear();
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}
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template <typename Thread>
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size_t ThreadPoolImpl<Thread>::active() const
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{
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2019-01-14 19:22:09 +00:00
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std::unique_lock lock(mutex);
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return scheduled_jobs;
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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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2019-01-14 19:22:09 +00:00
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void ThreadPoolImpl<Thread>::worker(typename std::list<Thread>::iterator thread_it)
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2019-01-14 10:59:58 +00:00
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{
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2019-08-01 20:09:38 +00:00
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CurrentMetrics::Increment metric_all_threads(
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std::is_same_v<Thread, std::thread> ? CurrentMetrics::GlobalThread : CurrentMetrics::LocalThread);
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2019-01-14 10:59:58 +00:00
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while (true)
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{
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Job job;
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bool need_shutdown = false;
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{
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2019-01-14 19:22:09 +00:00
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std::unique_lock lock(mutex);
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2019-01-14 10:59:58 +00:00
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new_job_or_shutdown.wait(lock, [this] { return shutdown || !jobs.empty(); });
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need_shutdown = shutdown;
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if (!jobs.empty())
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{
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job = jobs.top().job;
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jobs.pop();
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}
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else
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{
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2019-03-05 20:49:21 +00:00
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/// shutdown is true, simply finish the thread.
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2019-01-14 10:59:58 +00:00
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return;
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}
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}
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if (!need_shutdown)
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{
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try
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{
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2019-08-01 20:09:38 +00:00
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CurrentMetrics::Increment metric_active_threads(
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std::is_same_v<Thread, std::thread> ? CurrentMetrics::GlobalThreadActive : CurrentMetrics::LocalThreadActive);
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2019-01-14 10:59:58 +00:00
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job();
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}
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catch (...)
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{
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{
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2019-01-14 19:22:09 +00:00
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std::unique_lock lock(mutex);
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2019-01-14 10:59:58 +00:00
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if (!first_exception)
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2020-03-18 02:02:24 +00:00
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first_exception = std::current_exception(); // NOLINT
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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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if (shutdown_on_exception)
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shutdown = true;
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2019-01-14 19:22:09 +00:00
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--scheduled_jobs;
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2019-01-14 10:59:58 +00:00
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}
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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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2019-01-14 10:59:58 +00:00
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job_finished.notify_all();
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new_job_or_shutdown.notify_all();
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return;
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}
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}
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{
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2019-01-14 19:22:09 +00:00
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std::unique_lock lock(mutex);
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--scheduled_jobs;
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if (threads.size() > scheduled_jobs + max_free_threads)
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{
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2019-02-25 15:45:07 +00:00
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thread_it->detach();
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2019-01-14 19:22:09 +00:00
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threads.erase(thread_it);
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job_finished.notify_all();
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return;
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}
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2019-01-14 10:59:58 +00:00
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}
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job_finished.notify_all();
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}
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}
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template class ThreadPoolImpl<std::thread>;
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template class ThreadPoolImpl<ThreadFromGlobalPool>;
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2020-06-22 19:04:12 +00:00
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std::unique_ptr<GlobalThreadPool> GlobalThreadPool::the_instance;
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2019-01-14 10:59:58 +00:00
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2020-06-22 19:04:12 +00:00
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void GlobalThreadPool::initialize(size_t max_threads)
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2019-08-22 03:24:05 +00:00
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{
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2020-06-23 17:31:46 +00:00
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assert(!the_instance);
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2020-06-14 06:43:01 +00:00
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2020-06-22 19:04:12 +00:00
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the_instance.reset(new GlobalThreadPool(max_threads,
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1000 /*max_free_threads*/, 10000 /*max_queue_size*/,
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false /*shutdown_on_exception*/));
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}
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2020-06-14 06:43:01 +00:00
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2020-06-22 19:04:12 +00:00
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GlobalThreadPool & GlobalThreadPool::instance()
|
|
|
|
{
|
|
|
|
if (!the_instance)
|
|
|
|
{
|
2020-06-23 17:31:46 +00:00
|
|
|
// Allow implicit initialization. This is needed for old code that is
|
|
|
|
// impractical to redo now, especially Arcadia users and unit tests.
|
|
|
|
initialize();
|
2020-06-22 19:04:12 +00:00
|
|
|
}
|
2020-06-14 06:43:01 +00:00
|
|
|
|
2020-06-22 19:04:12 +00:00
|
|
|
return *the_instance;
|
2019-08-22 03:24:05 +00:00
|
|
|
}
|