ClickHouse/src/Common/ThreadPool.cpp

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