Can PHP + Swoole Rival C++ for High‑Concurrency Servers? Myths Explained

Yesterday I chatted with a former colleague who complained about PHP and Swoole, saying PHP is full of pitfalls and limited, and that PHP + Swoole is unsuitable for high‑concurrency servers, while C + Swoole is the best solution because C++ offers rich data structures, threading, and object sharing.

What Does PHP Lack Compared to C/C++ or Java? Multithreading, Multithreading, Multithreading…

Indeed, PHP lacks multithreading that languages like C/C++ and Java provide. PHP only offers a multi‑process model, so global variables and objects are not shared across processes, data structures cannot operate across processes, and socket file descriptors cannot be shared.

Multithreading may seem more powerful than multiprocessing, but I can responsibly tell you that multithreading brings even more pitfalls .

Data synchronization issues can drive you crazy; you either sacrifice performance with heavy locking or attempt extremely difficult lock‑free concurrency, a skill mastered by very few in China.

Locks do not guarantee safety; complex logic leads to deadlocks, and a deadlock can cripple your entire program.

If one thread crashes, all threads terminate.

In contrast, multiprocessing is actually much simpler.

With inter‑process communication you can achieve virtually any data sharing, for example by dedicating one process to store data structures and objects while other processes delegate operations to it.

Multiprocessing does not require locks.

Multiprocessing can use shared‑memory data structures to implement some multithreaded functionalities; Swoole’s Table and Atomic provide low‑cost data sharing, and future versions will add shared‑memory queues.

The claim that PHP limits Swoole is baseless. By properly using Swoole’s Table, Atomic, SendMessage/PipeMessage, and Task, you can implement asynchronous, non‑blocking logic fully.

Are Programs Written in C++ Faster?

This is a blind myth. While C++ has advantages for compute‑intensive programs, the core of a concurrent server is I/O, not massive computation. From a language perspective, C++ does not have inherent advantages. Most data structures in C++ also have equivalents in PHP, and if needed you can write a custom extension.

A high‑concurrency server can maintain 100,000 connections on a single machine and handle 30,000–50,000 messages per second, a performance level already used in core systems of major Chinese internet companies.

What Is the Significance of Faster Development Efficiency?

My colleague also said that although PHP server development is faster than C++, ultimate performance still requires C++. I want to clarify the real value of higher development efficiency: building a good program demands substantial time and effort. Faster development does not merely mean finishing sooner; it frees time for unit testing, bug fixing, improving user experience, polishing details, providing auxiliary tools, optimizing performance, adding critical logging, monitoring alerts, and disaster‑recovery solutions.

(The author of this article is the founder of Swoole. Original title: “About C++, PHP, and Swoole”)

Original source: http://rango.swoole.com/archives/473