Shows how to create a thread pool with multiple workers, enqueue a large batch of callback jobs, and use the logger system for output. This is the canonical "hello world" for thread_system with logging.
#include <iostream>
#include <memory>
#include <chrono>
#include "logger/core/logger.h"
log_module::log_types
file_target_ = log_module::log_types::None;
log_module::log_types
console_target_ = log_module::log_types::Information;
{
log_module::set_title("thread_pool_sample");
log_module::message_callback(
[](const log_module::log_types& type, const std::string& datetime,
const std::string& message)
{ std::cout << formatter::format("[{}][{}] {}\n", datetime, type, message); });
{
log_module::set_wake_interval(std::chrono::milliseconds(
wait_interval_));
}
return log_module::start();
}
-> std::tuple<std::shared_ptr<thread_pool>, kcenon::common::VoidResult>
{
std::shared_ptr<thread_pool> pool;
try
{
pool = std::make_shared<thread_pool>();
}
catch (const std::bad_alloc& e)
{
return { nullptr, kcenon::common::error_info{
kcenon::thread::error_code::allocation_failed,
e.what(),
"thread_pool_sample"} };
}
std::vector<std::unique_ptr<thread_worker>> workers;
workers.reserve(worker_counts);
for (uint16_t i = 0; i < worker_counts; ++i)
{
workers.push_back(std::make_unique<thread_worker>());
}
auto enqueue_result = pool->enqueue_batch(std::move(workers));
if (enqueue_result.is_err())
{
return { nullptr, enqueue_result.error() };
}
return { pool, kcenon::common::ok() };
}
{
std::vector<std::unique_ptr<job>> jobs;
{
jobs.push_back(std::make_unique<callback_job>(
[index](void) -> kcenon::common::VoidResult
{
log_module::write_debug("Hello, World!: {}", index);
return kcenon::common::ok();
}));
}
{
}
return kcenon::common::ok();
}
{
if (error_message.has_value())
{
std::cerr << formatter::format("error starting logger: {}\n",
error_message.value_or("unknown error"));
return 0;
}
kcenon::common::VoidResult pool_init_result;
if (pool_init_result.is_err())
{
log_module::write_error("error creating thread pool: {}",
pool_init_result.error().message);
return 0;
}
if (store_result.is_err())
{
log_module::write_error("error storing job: {}", store_result.error().message);
return 0;
}
if (start_result.is_err())
{
log_module::write_error("error starting thread pool: {}",
start_result.error().message);
return 0;
}
if (stop_result.is_err())
{
log_module::write_error("error stopping thread pool: {}",
stop_result.error().message);
}
log_module::stop();
return 0;
}
A template class representing either a value or an error.
A thread pool for concurrent execution of jobs using multiple worker threads.
auto to_string(void) const -> std::string
Provides a string representation of this thread_pool.
auto enqueue_batch(std::vector< std::unique_ptr< job > > &&jobs) -> common::VoidResult
Enqueues a batch of jobs into the shared job_queue.
auto stop(const bool &immediately_stop=false) -> common::VoidResult
Stops the thread pool and all worker threads.
auto start(void) -> common::VoidResult
Starts the thread pool and all associated workers.
Core thread pool implementation with work stealing and auto-scaling.
log_module::log_types file_target_
log_module::log_types callback_target_
auto initialize_logger() -> std::optional< std::string >
uint32_t test_line_count_
log_module::log_types console_target_
Core threading foundation of the thread system library.
auto store_job(std::shared_ptr< thread_pool > thread_pool) -> kcenon::common::VoidResult
auto create_default(const uint16_t &worker_counts) -> std::tuple< std::shared_ptr< thread_pool >, kcenon::common::VoidResult >