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The Cargo Cult of High-Performance I/O

Chasing the latest systems programming trends is no substitute for understanding the brutal realities of your own memory architecture.

Numerous Times Field Notes

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September 11, 2026 · 3 min read
The Cargo Cult of High-Performance I/O
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I have spent enough time in server rooms and engineering stand-ups to know that developers have a collective weakness for the new shiny. In the Rust ecosystem specifically, there is a growing religious fervor around io_uring. The promise is intoxicating: a way to bypass the overhead of traditional system calls, offering a streamlined path to high-throughput asynchronous I/O. But as the recent experience of teams trying to migrate away from memory-mapped files (mmap) has shown, the shiny new tool often breaks when it hits the messy reality of a production query engine.

The industry has developed a strange allergy to mmap. Critics point to its lack of fine-grained control, the unpredictability of page faults, and the potential for SIGBUS errors if a file shrinks unexpectedly. They argue that explicit, asynchronous I/O is the only way to scale. But this view ignores the sheer, battle-tested brilliance of the operating system's virtual memory subsystem. When you use mmap, you aren't just mapping bytes; you are handing the keys to a kernel that has spent decades being optimized to manage physical memory, cache pages, and handle read-ahead better than your hand-rolled user-space scheduler ever will.

When you rip out a working mmap implementation and replace it with io_uring, you are essentially telling the kernel to stop helping you. You take on the burden of managing your own buffers, orchestrating your own concurrency, and deciding exactly when to fetch data. For a query engine, where data access patterns can be erratic and deeply nested, the complexity cost is astronomical. In many cases, the result is not a performance boost, but a regression. The overhead of managing the rings and the context switching inherent in manual buffer management often outweighs the theoretical gains of avoiding system calls.

We need to stop treating engineering as a pursuit of the latest API and start treating it as a discipline of trade-offs. If your engine is built around the assumption that the OS will handle paging, you cannot simply swap the foundation and expect the walls to stay standing. The failure of io_uring to outperform mmap in these specific, high-load scenarios isn't a failure of the technology itself, but a failure of architectural humility. Sometimes, the most sophisticated move a senior engineer can make is to admit that the old, 'boring' way of doing things is actually the most efficient way to interact with the silicon. If it’s slower, it’s not better—no matter how many stars the library has on GitHub.

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