wt-tracker
glommio
wt-tracker | glommio | |
---|---|---|
3 | 29 | |
237 | 2,851 | |
3.4% | 1.2% | |
7.8 | 7.6 | |
about 1 month ago | 3 days ago | |
TypeScript | 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.
wt-tracker
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aquatic_ws (WebTorrent tracker) rewritten with glommio, achieves up to 1.6 million responses a second in load tests
wt-tracker (nodejs, single-threaded) reached 31 thousand responses a second
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aquatic: extremely performant open BitTorrent tracker software (UDP, HTTP, WebTorrent)
aquatic_http is a BitTorrent over HTTP over TLS tracker and aquatic_ws is a WebTorrent over TLS tracker. I don't have full current benchmarks comparing them to other options, but in a previous one, aquatic_ws handily outperformed both wt-tracker and bittorrent-tracker.
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aquatic BitTorrent tracker: WebTorrent support (1.8M responses/second); new UDP benchmarks (650k rps)
I did some benchmarks with my load testing tool and got very encouraging results: 1.8M tracker responses per second when using 14 threads, compared to a maximum of 117k responses per second for closest competitor wt-tracker. I suspect that the openwebtorrent tracker would be a lot closer in performance to aquatic, but since it only runs over TLS, I couldn’t test it, as the load tester doesn’t support it. More info on the benchmark (PDF).
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
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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?
p2p-media-loader - An open-source engine for P2P streaming of live and on demand video directly in a web browser HTML page
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
alttp-tracker - A mobile app for tracking ALTTP randomizer runs.
tokio-uring - An io_uring backed runtime for Rust
torrust-index - This repository serves as the backend for the Torrust Index project.
Seastar - High performance server-side application framework
openwebtorrent-tracker - Fast and simple Webtorrent tracker implementation in C++
monoio - Rust async runtime based on io-uring.
aquatic - High-performance open BitTorrent tracker (UDP, HTTP, WebTorrent)
MIO - Metal I/O library for Rust.
webtorrent-mpv-hook - Adds a hook that allows mpv to stream torrents
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.