monoio
tokio-uring
monoio | tokio-uring | |
---|---|---|
23 | 28 | |
3,581 | 1,002 | |
2.9% | 2.0% | |
8.0 | 4.1 | |
26 days ago | 2 months ago | |
Rust | Rust | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
monoio
- How to Visualize and Analyze Data in Open Source Communities
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Core to Core Latency Data on Large Systems
There is also another thread-per-core implementation by ByteDance (TikTok) for Rust called Monoio with benchmarks[0] comparing it to Tokio and Glommio.
[0] https://github.com/bytedance/monoio/blob/master/docs/en/benc...
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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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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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Introducing `rudis`: A Sharded, Concurrent Mini Redis with Web Interface in Rust
I think monoio is also thread-per-core but also iouring https://github.com/bytedance/monoio. I don't know how you would shard certain keys into different threads, but if you can do that deterministically then there could be a significant speed up.
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How does async Rust work
I believe this is also "thread-per-core".
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Oxy is Cloudflare's Rust-based next generation proxy framework
Bytedance has their in-house monoio <https://github.com/bytedance/monoio> (supports io-uring) but it requires rust nightly.
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Is async runtime (Tokio) overhead significant for a "real-time" video stream server?
There's another thread-per-core runtime called https://github.com/bytedance/monoio
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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
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hyper v1.0.0 Release Candidate 1
I see that, I also tried with monoio, but the developer of that runtime mentioned that https://github.com/bytedance/monoio/blob/master/examples/hyper_server.rs might have soundness issues
tokio-uring
- tokio_fs crate
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Use io_uring for network I/O
While Mio will probably not implement uring in its current design, there's https://github.com/tokio-rs/tokio-uring if you want to use io_uring in Rust.
It's still in development, but the Tokio team seems intent on getting good io_uring support at least!
As the README states, the Rust implementation requires a kernel newer than the one that shipped with Ubuntu 20.04 so I think it'll be a while before we'll see significant development among major libraries.
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Create a data structure for low latency memory management
That's what the pool is for: https://github.com/tokio-rs/tokio-uring/blob/master/src/buf/fixed/pool.rs
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Cloudflare Ditches Nginx for In-House, Rust-Written Pingora
Tokio supports io_uring (https://github.com/tokio-rs/tokio-uring), so perhaps when it's mature and battle-tested, it'd be easier to transition to it if Cloudflare aren't using it already.
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Anyone using io_uring?
- Tokio suffers from a similar problem
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redb 0.4.0: 2x faster commits with 1PC+C instead of 2PC
Eg via tokio-uring.
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Efficient way to read multiple files in parallel
I strongly recommend you to look into io-uring and use async executors that take advantages of it: - tokio-uring (not recommended as it is still undergoing development) - monoio - glommio
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Stacked Futures and why they are impossible
This is my thinking as well. Specifically, I realized that if you don’t use tasks, but rather futures and join, than structured concurrency just works out (at the cost of less efficient poll). In a single-threaded/thread-per-core runtime, tasks could have the same semantics as futures. Somewhat elaborated here: https://github.com/tokio-rs/tokio-uring/issues/81
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How to use async Rust for non-IO tasks?
There's a new API on Linux called io_uring that has performance benefits, but most executors don't use it yet, except executors meant specifically to harness the power of io_uring like tokio-uring and Glommio
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Side effects of Tokio
Breaking it down a bit further- Rust's async is zero-cost, and there's no way to write faster equivalent code to the language construct in Rust (and presumably other LLVM languages). Tokio introduces abstractions over OS APIs (indirectly) and provides a runtime. The runtime isn't zero cost, but it is likely to be better optimized for "standard" situations than a homebrewed solution, and its primary competition is in the form of other large async runtimes. On the other hand, Tokio's IO routines are (AFAIK) about as well written as one can get with blocking OS APIs, and the only competitors in that space are projects like tokio-uring that use APIs more well suited for asynchronous usage.
What are some alternatives?
glommio - Glommio is a thread-per-core crate that makes writing highly parallel asynchronous applications in a thread-per-core architecture easier for rustaceans.
libuv - Cross-platform asynchronous I/O
delimited
config-rs - ⚙️ Layered configuration system for Rust applications (with strong support for 12-factor applications).
liburing
wg-async - Working group dedicated to improving the foundations of Async I/O in Rust
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
cap-std - Capability-oriented version of the Rust standard library
diesel_async - Diesel async connection implementation
actix-net - A collection of lower-level libraries for composable network services.
rust-analyzer - A Rust compiler front-end for IDEs [Moved to: https://github.com/rust-lang/rust-analyzer]