monoio
glommio
monoio | glommio | |
---|---|---|
23 | 29 | |
3,581 | 2,842 | |
2.9% | 1.2% | |
8.0 | 7.6 | |
26 days ago | 6 days ago | |
Rust | Rust | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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
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.
-
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
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Building a High-Performance DB Buffer Pool in Zig W\ Io_uring New Fixed-Buffers
FYI, Datadog has a Rust library for scheduling things to run thread-per-core with io_uring
It'd be really useful for DB use cases:
https://github.com/DataDog/glommio
What are some alternatives?
tokio-uring - An io_uring backed runtime for Rust
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
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config-rs - ⚙️ Layered configuration system for Rust applications (with strong support for 12-factor applications).
Seastar - High performance server-side application framework
wg-async - Working group dedicated to improving the foundations of Async I/O in Rust
MIO - Metal I/O library for Rust.
cap-std - Capability-oriented version of the Rust standard library
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
actix-net - A collection of lower-level libraries for composable network services.
shadowsocks-rust - A Rust port of shadowsocks