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Epoll vs. io_uring in Linux
- mrlonglong 3mo agoBoost asio if you love C++ and asynchronous networking.
- MathMonkeyMan 3mo agoI switched out asio's epoll backend for its io_uring in a database server and CPU utilization shot up. Probably depends on usage and the specifics of how it's integrated into the event code.
- vlovich123 3mo agoThat’s paradoxically what you can expect on a busy server - your CPU can spend time doing work that would have been previously IO wait time. Of course, it could be a bug in the implementation where you’re spinning doing no work erroneously, but depends on the details.
- saghm 3mo agoYeah, the explanation that I've usually heard for this sort of thing is that it's intended to get back CPU time that's lost when too many system threads are blocking to keep something on every core even during I/O (or pay for it in terms of the context switching overhead if you compensate for this with an extremely large number of system threads). The theory is that you'll avoid idle CPU compared to the common "one thread per core" way of doing things due to some of them being idle during I/O, at the cost of using some extra CPU to handle more things in user space. Obviously how much this helps can vary between use cases, but the measure of how much it's helping (or if it's maybe not helping at all!) is throughput, not CPU utilization.
- vlovich123 3mo agoThat is an imprecise explanation being conveyed to you - thread per core is still valuable in an io_uring world. The reason for that is how computers are built - its inherent in the kinds of operations that are cheap and what happens otherwise, the I/O model doesn’t matter. Specifically, not thread per core code has the following issues: * you have to use atomics/locks to synchronize data access. This involves expensive HW operations to implement the semantics of what an atomic operation is * you have to deal with lock contention and cache contention * when an OS migrates the core that is executing your code, you’ve suddenly got cold caches all over the place (icache, dcache, and TLB). There’s also a bunch of related things that pop up - even if you do thread per core, the processor interrupts for events probably land on a different CPU resulting in extra overhead within the OS to deliver the event to you. Io_uring doesn’t “handle more things in user space”. It specifically avoids a bunch of overheads; you’re context switching less (other cores can execute the OS code to process your request) and you can pipeline I/O (you can tell the OS “do IO A, then B, then C and tell me when that’s all done”) and you get fewer memory copies (the kernel reads into your buffer directly without needing to create another copy although this is more nuanced). Anyway, the better mental model is specifically io_uring is more efficient and thus CPUs spend less time standing around waiting for things to happen at the hardware level (context switching, waiting for locks, etc). If the CPUs weren’t actually spending much time waiting, then you don’t get much benefit. This is the same phenomenon as Jevons paradox in economics; IO gets cheaper so you can do more of it within a given time unit and thus your CPUs end up more often having real work to do.
- saghm 3mo agoTo clarify, I'm not talking specifically about io_uring but (multithreaded) async concurrency models in general. The explanation needs to be imprecise because not all of them work the same way, so it's impossible to say anything correct about all of them without intentionally leaving out some specifics.
- FooBarWidget 3mo agoThis makes no sense. Epoll is already non-blocking, you never waste time waiting for I/O as long as there is work to do. Io_uring only boosts CPU efficiency (batching of syscalls, for example), it does not reduce blocking.
- vlovich123 3mo agoYour right, I was imprecise with my wording. You waste time doing context switches + mapping/unmapping CPU buffers meaning for a given unit of time you can churn through more I/O meaning your user space CPU time goes up and system time goes down.
- toast0 3mo agoIn addition to the other discussion. It's important to measure outcomes and not just look at the cpu meter... At the same load, how did latency look for A vs B. What was throughput and latency at maximum load like for A vs B. For whichever one had the smaller max throughput, what did latency look like for the other option. For bonus points while testing: is there another observable metric to indicate available capacity, if cpu % free is less useful.
- Asmod4n 3mo agoNo async io framework exists which utilizes everything io_uring can, they are all build around the poll model. As such io_uring will always be worse than the poll like abstractions. The two things that make io_uring fast are chaining of operations and zero syscall mode, the former would require that all async io frameworks/libs would need to be rewritten to make use of that and then all user facing apps would also need to be rewritten since all you’d get now are completions to operations instead of waiting if you can run a operation.
- topspin 3mo agoClassic. Know that the increase in CPU utilization may mean you've improved the performance of your "database server," because now your CPU cores are waiting less on IO. It also may not mean this, but just looking at htop won't tell you either way.
- LoganDark 3mo agoBoost is so inconvenient, they're huge dynamic libraries that are a pain to build and use. Even when I was already using CMake, getting Boost installed in a way where it could be discovered was super annoying. (I was on Mac, though)
- Chaosvex 3mo agoAsio also comes in standalone form and both versions are header-only. Not necessarily directly related to your comment but adding it on, anyway.
- deleted 3mo ago[deleted]
- cherryteastain 3mo agoYou can statically link boost
- wavemode 3mo agoSome (most?) Boost libraries are header-only. Including Boost.Asio nowadays.
- DmitryOlshansky 3mo agoI’ve replaced Asio recently with stright epoll event loop and got about 16% RPS better. That is for resonably sized SQL server, so be careful with nice precanned libraries.
- Uptrenda 3mo agoYes, io_uring is significantly faster than epoll (I think I had like 20% faster req/s with io_uring.) The catch is that its kernel opt-in and disabled just about everywhere for security reasons. I think that it has direct memory sharing between the kernel and user-land which is kind of yikes. There's been multiple exploits that hit io_uring in recent times. It's because of this that even engineering projects that try to reach the highest performance possible (like Go) don't really bake io_uring in as a sane default. Though if you want to take the risk you can always run it yourself for your favourite language. It is faster but the cost is possible exploits.
- happyPersonR 3mo agoAny kind of poll mode networking: Rdma, dpdk, io_uring it’s really kind of up to the user to do the memory isolation In io_urings case tho, you can’t do much because the rings are in the kernel. I’m hopeful though that with Llm things will get better. But it’s just hard problem to solve . Very difficult to do in the kernel itself, and folks don’t really even understand tuning for it.
- kshri24 3mo agoThe ring buffers are in shared memory not kernel private. The ring buffers (submission and completion) are shared between kernel space and user space. User publishes requests via submission queue entries (updates tail of buffer while kernel reads head of the buffer), kernel shifts the submission queue buffer on its end and returns a completion queue event by publishing to completion buffer. User pulls from this buffer (specifically the head, kernel updates tail of buffer) in user space.
- omcnoe 3mo agoFor a project like Go, wouldn't it be an option to do one-time iouring feature detection in the runtime startup? Exploits are an issue for the entire OS, not the program choosing to use iouring, yeah?
- csdreamer7 3mo agoRHEL 9 and 10 now fully support io_uring by default. It is very recent, but this covers a lot of corporate Linux installs. Gemini 'said' Ubuntu and SuSE support it as well, but did not provide any links to prove it. https://access.redhat.com/solutions/4723221 https://access.redhat.com/solutions/4723221 Go should reconsider support. They should have a 'go' at it.
- spliffedr 3mo agoTake a look at https://github.com/concurrencykit/ck https://github.com/concurrencykit/ck and https://github.com/microsoft/mimalloc https://github.com/microsoft/mimalloc, it will fit well for a zero-copy and mem aligned reverse proxy. Also, if you want to add a DDoS protection and more advanced L4 stuff check out https://docs.ebpf.io/ebpf-library/libxdp/libxdp/ https://docs.ebpf.io/ebpf-library/libxdp/libxdp/
- Sibexico 3mo agoYeah, the plan was to apply optimizations at the other levels, then we will go to allocators. Studying the allocators rn with my students, the previous post in the blog was about custom allocator on the Zig lang.
- up2isomorphism 3mo agoThe author takes a very benchmark focus on this topic which only says part of the story particularly for complex systems. Noticed that there are a number of very similar interface that exist on other platform like windows long before io_uring, but that does make Linux’s I/O system worse or slow than these platforms. A fast server is likely fast in either multiplexing or async API if implemented correctly in almost all cases.
- RossBencina 3mo agoThere is no benchmark in the post. There is analysis, discussion and code examples for epoll and io_uring usage.
- Sibexico 3mo agoI'm now a Windows developer, mostly working with Linux and FreeBSD. Thx for the point, I'll look how it works in Windows systems.
- muststopmyths 3mo agoEquivalent in Windows is Registered I/O (RIO) for sockets. Windows network development is really, really different from Unixy stuff. But you might have fun :)
- toast0 3mo ago> But my students weren’t as happy as I was - they wanted to build something genuinely useful, and they were really disappointed that our “product” had strong architectural limits and couldn’t outperform titans like nginx and haproxy. I took a (very brief) look at the github repo [1], it doesn't look like you're doing anything with cpu pinning. You can probably eke (thanks) out a bit more performance if you cpu pin your threads and cpu pin your listen sockets (sockopt SO_INCOMING_CPU). If you also cpu align your outgoing sockets, you should get a significant boost, but afaik, there's no great api for that. Linux does have an api for compatible NICs (traffic steering/flow steering) which can work, but if you know what hash your NIC uses (it's probably toeplitz) and you manage source port selection to your backend, you can pick ports that will hash properly. The goal is for your proxy to be able to handle packets without any cross cpu communication. [1] https://github.com/sibexico/TinyGate https://github.com/sibexico/TinyGate
- jibal 3mo agoeke
- Sibexico 3mo agoBasically, v0 and v1 of the repo is completely different implementations, written almost from scratch. Now working on the 3rd one implementation, I believe the last one. :) Completely different architectural choices was made.
- toast0 3mo agoIf it's still running on more than a single core, and your students want it to go faster, aligning the work to cpus will almost certainly be useful. I saw you mentioned windows development elsewhere. You might be interested to know that Microsoft pionered Receive Side Scaling and Send Side Scaling. If you try your proxy out on Windows, be sure to hook into those systems there. The less work your proxy does, the more important avoiding cross core communication is.
- camkego 3mo ago
- deleted 3mo ago[deleted]
- monkamonme 3mo ago[flagged]
- GalaxyNova 3mo agoThe year is 2050; there are 20 different ways to poll a socket on Linux.
- Uptrenda 3mo agoYes, even for io_uring. io_uring singshot and then multishot to go even faster.
- thomashabets2 3mo agoI've not yet tested the shared buffers for my io uring based web server, but that's because instead of reading from a file and writing, i send directly from a mmaped region. But really, I want to sendfile with io_uring, but that's not supported yet. My writeup, with extra buzzwords like Rust and kTLS: https://blog.habets.se/2025/04/io-uring-ktls-and-rust-for-zero-syscall-https-server.html https://blog.habets.se/2025/04/io-uring-ktls-and-rust-for-ze... It was on HN too: https://news.ycombinator.com/item?id=44980865 https://news.ycombinator.com/item?id=44980865
- Ne02ptzero 3mo agoFYI you can use sendfile ish with uring, since splice(2) is implemented. Not as user friendly as sendfile, but should work fairly similarly.
- deleted 3mo ago[deleted]
- luke5441 3mo agoOn the Linux side sendfile is implemented via splice. So it is a more generic API that covers the sendfile case.
- thomashabets2 3mo agoYes, my understanding is that I should be able to emulate sendfile via splice. The problem with that is that splice requires one end to be a pipe. So I think this means two extra file descriptors per connection (one per side of the pipe). And per connection this adds 5 slots in the submit/completion queue, with a LINK dependency. Maybe the trade off is worth it. I've not done concrete experiments with it, but I'm guessing it would be if the saved copy_from_user is large enough. So for optimal performance this may mean using write() for short files, and a pipe(), a pair of splice() calls, and a pair of close() calls, for larger files. Edit: I guess I could save some ops by reusing pipes, but then I'd have to make sure to flush them. Would add some complexity.
- 3mo ago
- witx 3mo agoSuch a great article! This sent me through a rabbit hole of uring, kernel development and C. I've been a rust and c++ dev for quite a few years now, but there's such a simplicity and even artistic feel to small(ish) C programs.
- srigi 3mo agoThis article is very brief and not deep enough. There is one I’m finding a much more “to the bone” and explaining io_uring concepts in much deeper details: https://unixism.net/loti/index.html https://unixism.net/loti/index.html Feel free to reverse-search the related HN thread too.
- witx 3mo agoThank you
- inigyou 3mo agoIf you write one with DPDK, it'll be infinitely more complex but you'll have the opportunity to blow away nginx in performance. If you make one run on an FPGA you it'll be even more complex. The lesson is that cutting through abstraction like a hot knife through butter is a necessary mindset for performance but also makes things more difficult. Sockets and thread-per-connection were good approaches when networks were very slow relative to CPUs, and they're still often the simplest approach today.
- eatonphil 3mo agoI was also always curious about this and recently wrote a few implementations of an http file server to teach myself the key differences. https://theconsensus.dev/p/2026/05/18/serving-files-three-ways.html https://theconsensus.dev/p/2026/05/18/serving-files-three-wa...
- buybackoff 3mo agoIn the context of a proxy one should mention epoll_wait busy poll. I've recently dived into this when reviewing low-latency options, and found that it's almost possible to do user space busy polling just for simple sockets, no DPDK/VMA/io_uring needed, and Fastly contributed to this and uses it. It's too low level, I cannot even tell that I understand everything, only the concept, so I will just share some links. It works only per NAPI epoll context, and one cannot easily control NAPI ID, but if an entire machine is dedicated for a proxy one can do a simple trick of assinging sockets by NAPI ID to dedicated pollers. In my use case, it was not a proxy, but N socket polling on a machine that then processes received data. It does not look feasible for such case, maybe round-robin polling of NAPI contexts from a single thread may work. What I would really want to have one day from the kernel is that I can easily tell it: trust me, I will poll this single socket eventually, never ever use IRQ path for it. Previous HN discussion of the kernel feature: https://news.ycombinator.com/item?id=43749271 https://news.ycombinator.com/item?id=43749271 Nice presentation by the Fastly contributor, with nice diagrams making the big picture much easier to understand: https://netdevconf.info/0x18/docs/netdev-0x18-paper10-talk-slides/Real%20world%20tips,%20tricks,%20and%20notes%20of%20using%20epoll-based%20busy%20polling%20v2.pdf https://netdevconf.info/0x18/docs/netdev-0x18-paper10-talk-s... LWN articles: https://lwn.net/Articles/1008399/ https://lwn.net/Articles/1008399/, https://lwn.net/Articles/997491/ https://lwn.net/Articles/997491/, https://lwn.net/Articles/959462/ https://lwn.net/Articles/959462/ Kernel docs: https://docs.kernel.org/networking/napi.html#irq-mitigation https://docs.kernel.org/networking/napi.html#irq-mitigation
- gafferongames 3mo agoJust use AF_XDP
- topspin 3mo agoThat only applies for network sockets, and requires taking responsibility for the entire network protocol stack. Not something that should be done without a very compelling reason, and not applicable at all in this case, where storage devices are involved.
- gafferongames 3mo agoYou are correct and I misread the article while skimming it.
- trowaway60621 3mo ago[dead]
- gilleswr 3mo ago[flagged]