Usage Guide

Overview

This guide covers the main components of the asynchrony library and how to use them effectively.

Simple Worker

The simple_worker is the simplest component - it provides a single background thread that processes items from a queue sequentially.

Basic Usage

#include "siddiqsoft/simple_worker.hpp"
 
struct WorkItem {
    int id;
    std::string data;
};
 
int main() {
    // Create a worker with a callback
    siddiqsoft::simple_worker<WorkItem> worker{
        [](auto&& item) {
            std::cout << "Processing item " << item.id << ": " << item.data << std::endl;
        }
    };
 
    // Queue items
    worker.queue(WorkItem{1, "first"});
    worker.queue(WorkItem{2, "second"});
    worker.queue(WorkItem{3, "third"});
 
    // Wait for completion
    std::this_thread::sleep_for(std::chrono::seconds(1));
    return 0;
}

Thread Priority

You can set thread priority using the template parameter:

// Normal priority (0)
siddiqsoft::simple_worker<Task> worker1{callback};
 
// High priority (5)
siddiqsoft::simple_worker<Task, 5> worker2{callback};
 
// Low priority (-5)
siddiqsoft::simple_worker<Task, -5> worker3{callback};

Priority range: -10 to +10

Exception Handling

Exceptions in the callback are caught and logged to stderr:

siddiqsoft::simple_worker<Task> worker{
    [](auto&& item) {
        try {
            // Your processing logic
            if (item.invalid) throw std::runtime_error("Invalid item");
        } catch (const std::exception& e) {
            std::cerr << "Error: " << e.what() << std::endl;
        }
    }
};

Lifetime Management

The worker will wait for the queue to empty before shutting down:

{
    siddiqsoft::simple_worker<Task> worker{callback};
    worker.queue(task1);
    worker.queue(task2);
}  // Destructor waits for queue to empty before returning

Simple Pool

The simple_pool distributes work across multiple threads using a shared queue. All threads wait on the same queue, so there's minimal contention.

Basic Usage

#include "siddiqsoft/simple_pool.hpp"
 
int main() {
    // Create a pool with default thread count (hardware_concurrency)
    siddiqsoft::simple_pool<WorkItem> pool{
        [](auto&& item) {
            std::cout << "Thread " << std::this_thread::get_id() 
                     << " processing item " << item.id << std::endl;
        }
    };
 
    // Queue items
    for (int i = 0; i < 100; ++i) {
        pool.queue(WorkItem{i, "data-" + std::to_string(i)});
    }
 
    std::this_thread::sleep_for(std::chrono::seconds(2));
    return 0;
}

Custom Thread Count

// Create a pool with exactly 4 threads
siddiqsoft::simple_pool<WorkItem, 4> pool{callback};
 
// Create a pool with default thread count
siddiqsoft::simple_pool<WorkItem, 0> pool{callback};  // 0 = use hardware_concurrency()

Performance Considerations

• Use simple_pool when tasks are CPU-bound or have similar execution times
• Use roundrobin_pool when tasks have variable execution times
• Increase thread count for I/O-bound tasks
• Decrease thread count for CPU-bound tasks (typically = hardware_concurrency)

Round-Robin Pool

The roundrobin_pool uses per-thread queues and distributes work in a round-robin fashion. This reduces contention compared to simple_pool.

Basic Usage

#include "siddiqsoft/roundrobin_pool.hpp"
 
int main() {
    siddiqsoft::roundrobin_pool<WorkItem> pool{
        [](auto&& item) {
            std::cout << "Processing item " << item.id << std::endl;
        }
    };
 
    for (int i = 0; i < 1000; ++i) {
        pool.queue(WorkItem{i, "data"});
    }
 
    std::this_thread::sleep_for(std::chrono::seconds(2));
    return 0;
}

Custom Thread Count

// Create a round-robin pool with exactly 8 threads
siddiqsoft::roundrobin_pool<WorkItem, 8> pool{callback};

Round-Robin vs Simple Pool

Aspect	Simple Pool	Round-Robin Pool
Queue Type	Single shared queue	Per-thread queues
Contention	Higher	Lower
Load Balancing	Automatic	Round-robin
Best For	Uniform task times	Variable task times
Memory	Lower	Higher

Periodic Worker

Execute a function at regular intervals.

Basic Usage

#include "siddiqsoft/periodic_worker.hpp"
 
int main() {
    siddiqsoft::periodic_worker<> timer{
        []() {
            std::cout << "Tick! " << std::chrono::system_clock::now() << std::endl;
        },
        std::chrono::milliseconds(500)  // Execute every 500ms
    };
 
    std::this_thread::sleep_for(std::chrono::seconds(5));
    return 0;
}

Priority

// High priority periodic worker
siddiqsoft::periodic_worker<5> timer{callback, interval};

Named Periodic Worker

// Named periodic worker (useful for debugging)
siddiqsoft::periodic_worker<> timer{
    callback,
    std::chrono::milliseconds(1000),
    "my-timer"
};

Resource Pool

Manage a pool of reusable resources (e.g., database connections).

Basic Usage

#include "siddiqsoft/resource_pool.hpp"
 
class DatabaseConnection {
public:
    void execute(const std::string& query) { /* ... */ }
};
 
int main() {
    siddiqsoft::resource_pool<DatabaseConnection> pool;
 
    // Checkout a resource
    auto conn = pool.checkout();
    conn.execute("SELECT * FROM users");
 
    // Checkin returns the resource to the pool
    pool.checkin(std::move(conn));
 
    return 0;
}

Resource Pool Methods

siddiqsoft::resource_pool<T> pool;
 
// Get current pool size
auto size = pool.size();
 
// Checkout a resource (throws if empty)
auto resource = pool.checkout();
 
// Return a resource to the pool
pool.checkin(std::move(resource));
 
// Clear all resources
pool.clear();

Best Practices

Lifetime Management

• Keep the worker/pool alive as long as you're queuing work
• Destruction waits for the queue to empty before shutting down threads
• Use RAII to ensure proper cleanup

Callback Design

• Keep callbacks lightweight and fast
• Avoid blocking operations in callbacks
• Handle exceptions within the callback
• Use move semantics for efficiency

Thread Safety

• The queue() method is thread-safe
• Callbacks are executed in worker threads
• Protect shared state accessed from callbacks with mutexes

Performance Tips

• Use roundrobin_pool for variable-duration tasks
• Use simple_pool for uniform-duration tasks
• Batch small tasks to reduce overhead
• Monitor queue depth for bottlenecks

Advanced Topics

Custom Data Types

Your data type must be move-constructible:

struct MyTask {
    std::string data;
    std::vector<int> values;
 
    // Must be move-constructible
    MyTask(MyTask&&) = default;
    MyTask& operator=(MyTask&&) = default;
 
    // Copy is optional
    MyTask(const MyTask&) = delete;
    MyTask& operator=(const MyTask&) = delete;
};

JSON Serialization

If nlohmann/json is available, you can serialize worker state:

#include <nlohmann/json.hpp>
#include "siddiqsoft/simple_worker.hpp"
 
siddiqsoft::simple_worker<Task> worker{callback};
auto json = worker.toJson();
std::cout << json.dump(2) << std::endl;

The JSON output includes:

• _typver: Library version identifier
• itemsSize: Current queue size
• queueCounter: Total items queued
• itemsQueued: Total items added
• itemsPopped: Total items processed
• itemsOutstanding: Items still in queue
• threadPriority: Thread priority level
• outstandingCallback: Callbacks currently executing
• waitInterval: Wait timeout in milliseconds