MIO
glommio
MIO | glommio | |
---|---|---|
21 | 30 | |
6,353 | 3,096 | |
0.9% | 1.6% | |
8.7 | 7.5 | |
about 1 month ago | 5 months ago | |
Rust | Rust | |
MIT License | GNU General Public License v3.0 or later |
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MIO
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What's the canonical way of doing it in rust?
Was playing around with mio (https://github.com/tokio-rs/mio) (not that mio itself is very important here!) and was trying to implement a simple something that I've done in java before: a Reactor that you can register ReactorClients with that will get callback whenever there are events on the corresponding socket etc.
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RFC: A non-blocking networking library for Rust
How does it compare to mio?
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How does the Rust mio crate implement deregistering connections?
TcpStream gets its wake behavior by delegating to the fd wakers. The Unix wakers have a few implementations, for different platforms. On Linux and Android, epoll is used.
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Looking for Tokio's event loop source code
The real implementation details of the I/O event queue is done in mio as u/hniksic pointed out, but that's more comparable with libuv which is certainly a huge part of the Node runtime. mio and libuv have a lot of similarities (at least they used to).
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Python multi-level break and continue
My example was "twice by one developer", not "twice across all indexed repos."
A spot check shows that quite a few in your link are used specifically to ensure correct handling of Rust multi-level breaks work syntax, like https://github.com/rust-lang/rust-analyzer/blob/master/crate... , https://github.com/rust-lang/rustfmt/blob/master/tests/sourc... , https://github.com/rust-lang/rust/blob/master/src/tools/rust... , https://github.com/rust-lang/rust/blob/master/src/tools/rust... and likely more.
Another is a translation of BASIC code to Rust, using break as a form of goto. https://github.com/coding-horror/basic-computer-games/blob/e...
The example at https://github.com/tokio-rs/mio/blob/master/tests/tcp.rs is a nice one
// Wait for our TCP stream to connect
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Crates to help with event-loop type pattern?
In my program, I have about 6 different components that follow the pattern below. Basically, the components run a thread while polling on crossbeam channels, file descriptors or sockets. For polling, I am using Mio (https://github.com/tokio-rs/mio).
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Ask HN: Has any Rust developer moved to embedded device programming?
On the code side it's pretty much the same as C++. You have a module that defines an interface and per-platform implementations that are included depending on a "configuration conditional checks" #[cfg(target_os = "linux")] macro.
https://github.com/tokio-rs/mio/blob/c6b5f13adf67483d927b176...
- Mio - Metal io library for rust
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`wasm32-wasi` support added to Tokio
Made possible by Wasi support for Mio https://github.com/tokio-rs/mio/pull/1576
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What is the point of async and await?
Indeed! In practice it's done through the polling operation: instead of a separate poll for op1 and op2, the program essentially tells the OS "wake me when either op1 or op2 is ready" (through the epoll syscall on Linux). The mio crate implements this, and the example on the readme is basically the same loop, but written with this polling strategy in mind.
glommio
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Gazette: Cloud-native millisecond-latency streaming
I feel a bit paralyzed by Fear Of Missing Io_Uring. There's so much awesome streaming stuff about (RisingWave, Materialize, NATS, DataFusion, Velox, many more), but it all feels built on slower legacy system libraries.
It's not heavily used yet, but Rust has a bunch of fairly high visibility efforts. Situation sort of feels similar with http3, where the problem is figuring out what to pick. https://github.com/tokio-rs/tokio-uring https://github.com/bytedance/monoio https://github.com/DataDog/glommio
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I want to share my latest hobby project, dbeel: A distributed thread-per-core nosql db written in rust
I used glommio as the async executor (instead of something like tokio), and it is wonderful. For people wondering whether it's "good enough" or to use C++ and seastar (as I have thought about a lot before starting this project), take the leap of faith, it's fast - both in terms of run time and to code.
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The State of Async Rust
My understanding is you always need a runtime, somethings needs to drive the async flow. But there are others on the market, just not without the.. market domination... of tokio.
https://github.com/smol-rs/smol looks promising simply for being minimal
https://github.com/bytedance/monoio looks potentially easier to work with than tokio
https://github.com/DataDog/glommio is built around linux io_uring and seems somewhat promising for performance reasons.
I haven't played with any of these yet, because Tokio is unfortunately the path of least resistance. And a bit viral in how it's infected tings.
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Learning Async Rust with Too Many Web Servers
I think you missed one which is based on io_uring [1].
In my benchmarks with a slightly tweaked version it was 2x faster than Nginx and and 30x faster than Python's SimpleHttpServer.
[1] https://github.com/DataDog/glommio/blob/master/examples/hype...
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How much reason is there to be multi-threaded in the k8s environment
b) It's proven now e.g Seastar, Glommio that the fastest way to run a multi-threaded application is to have one instance with one thread pinned per CPU core. Then to have fibers/lightweight threads on top handling all of the asynchronous code. Your approach of lots of instances is the slowest so there will be a ton of unnecessary thread context-switching.
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Why does Actix-web's handler not require Send?
I assume Tokio itself, see e.g monoio or glommio, but also Seastar for C++.
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How does async Rust work
https://github.com/DataDog/glommio Rust thread per core library.
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Use io_uring for network I/O
> Few of us have really figured out io_uring. But that doesn't mean it is slower.
seastar.io is a high level framework that I believe has "figured out" io_uring, with additional caveats the framework imposes (which is honestly freeing).
Additionally the rust equivalent: https://github.com/DataDog/glommio
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Is async runtime (Tokio) overhead significant for a "real-time" video stream server?
This use case is perfect for https://github.com/DataDog/glommio which is a thread-per-core runtime that is appropriate for latency sensitive code.
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Blessed.rs – An unofficial guide to the Rust ecosystem
It's worth mentioning: Under "Async Executors", for "io_uring" there is only "Glommio"
I recently found out that ByteDance has a competitor library which supposedly has better performance:
https://github.com/bytedance/monoio
https://github.com/DataDog/glommio/issues/554
What are some alternatives?
tokio
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
rust-zmq - Rust zeromq bindings.
tokio-uring - An io_uring backed runtime for Rust
Seastar - High performance server-side application framework
actix - Actor framework for Rust.
monoio - Rust async runtime based on io-uring.
message-io - Fast and easy-to-use event-driven network library.
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
libpnet - Cross-platform, low level networking using the Rust programming language.
shadowsocks-rust - A Rust port of shadowsocks