Files
nearby/internal/platform/implementation/linux/thread_pool.cc
T
Timothy Hutchins bbfc2991c5 Started implementing Linux specific platform
This is the start of the implementing for the Linux platform.

I aim to make this as similar to the Windows platform as possible,
although due to the fundamental difference in the two OS's, there will
be things that need to be different.
As such, I will be using the Windows platform files as a base, and
reimplementing the functions with Linux equivalents.

I am sure this will have bugs, which by my best attempt will be fixed
when found.
2023-05-19 19:19:15 -05:00

129 lines
3.6 KiB
C++

// Copyright 2021-2023 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "internal/platform/implementation/linux/thread_pool.h"
#include <queue>
#include <utility>
#include "absl/memory/memory.h"
#include "absl/synchronization/mutex.h"
#include "internal/platform/logging.h"
#include "internal/platform/runnable.h"
namespace nearby {
namespace linux {
std::unique_ptr<ThreadPool> ThreadPool::Create(int max_pool_size) {
NEARBY_LOGS(VERBOSE) << __func__ << ": Create thread pool with maximum size("
<< max_pool_size << ").";
if (max_pool_size <= 0) {
NEARBY_LOGS(ERROR) << __func__
<< ": Maximum pool size must be positive integer value.";
return nullptr;
}
std::unique_ptr<std::vector<std::thread>> thread_pool = std::make_unique<std::vector<std::thread>>();
// Sets thread pool maximum value.
thread_pool->resize(max_pool_size);
return absl::WrapUnique(
new ThreadPool(thread_pool, max_pool_size));
}
ThreadPool::ThreadPool(std::unique_ptr<std::vector<std::thread>> &thread_pool, int max_pool_size)
: thread_pool_(std::move(thread_pool)),
max_pool_size_(max_pool_size) {
NEARBY_LOGS(VERBOSE) << __func__ << ": Thread pool(" << this
<< ") is created with size:" << max_pool_size_;
for (int size = 0; size < max_pool_size_; size++) {
thread_pool_->at(size) = std::thread([this]() {
while (!tasks_.empty()) {
RunNextTask();
// Possibly don't need but here to prevent 100% usage for loop
sleep(300);
}
});
}
}
ThreadPool::~ThreadPool() {
NEARBY_LOGS(VERBOSE) << __func__ << ": Thread pool(" << this
<< ") is released.";
ShutDown();
}
bool ThreadPool::Run(Runnable task) {
absl::MutexLock lock(&mutex_);
if (thread_pool_->size() == max_pool_size_) {
return false;
}
tasks_.push(std::move(task));
NEARBY_LOGS(VERBOSE) << __func__ << ": Scheduled to run task("
<< &tasks_.back() << ").";
return true;
}
void ThreadPool::ShutDown() {
absl::MutexLock lock(&mutex_);
if (!thread_pool_->empty()) {
NEARBY_LOGS(WARNING) << __func__ << ": Request to shutdown thread pool with " << thread_pool_->size() << " tasks not finished(" << this << ").";
}
NEARBY_LOGS(VERBOSE) << __func__ << ": Shutdown thread pool(" << this << ").";
if (thread_pool_ == nullptr) {
NEARBY_LOGS(WARNING) << __func__ << ": Shutdown on closed thread pool("
<< this << ").";
return;
}
thread_pool_.reset();
}
void ThreadPool::RunNextTask() {
Runnable task = nullptr;
{
absl::MutexLock lock(&mutex_);
if (!thread_pool_) {
return;
}
if (!tasks_.empty()) {
NEARBY_LOGS(VERBOSE) << __func__ << ": Run task(" << &tasks_.front()
<< ").";
task = std::move(tasks_.front());
tasks_.pop();
}
}
if (task == nullptr) {
NEARBY_LOGS(WARNING) << __func__
<< ": Tried to run task in an empty thread pool.";
return;
}
task();
}
} // namespace linux
} // namespace nearby