glommio
pest
glommio | pest | |
---|---|---|
29 | 42 | |
2,842 | 4,370 | |
1.2% | 1.3% | |
7.6 | 7.4 | |
7 days ago | 2 days ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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
pest
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nom > regex
And some related parser tools: - https://github.com/kevinmehall/rust-peg - https://github.com/pest-parser/pest - https://github.com/lalrpop/lalrpop
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Jasmine, A rust-like programming language that compiles to Java
I had recently completed the first year of my Computer Science class at school and will begin my second year soon. My schools' class forces the use of Java programming language, and I absolutely hated it. So, over the course of a little less than a month, I wrote my own programming language, in Rust (objectively best programming language), using pest, to be as similar to Rust as possible, but compiling to Java.
- Restoration of the pest3 work effort 🙌 · pest-parser/pest · Discussion #885
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What is the state of the art for creating domain-specific languages (DSLs) with Rust?
I second pest.rs. Using it is fairly intuitive and there's also a live playground on their website which is great for quickly developing and testing your AST (abstract syntax tree) parser for whatever language you're implementing.
- pest v2.6.0 released with a new meta-grammar feature (node tags)
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Finding a Crate to Help with Terminal Program Interface
This is where you'll run into trouble. People who write parsing-related Rust crates generally write things like pest that expect their syntax to be defined completely at compile time so the parser can be run through the compiler's optimizers for best performance.
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easy way to produce a parser
Give https://pest.rs a try.
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What is your opinion about lifetime of data generated from a parsing
For now I have used pest to generate an AST that borrows from the given input. But if I can manage to make the parser generic over the return type it may be worth a refactoring.
- Is there a parsing library (lexer?) which can handle generic tokens?
- v2.5.0: introducing `pest_debugger` · Discussion #739 · pest-parser/pest
What are some alternatives?
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
nom - Rust parser combinator framework
tokio-uring - An io_uring backed runtime for Rust
lalrpop - LR(1) parser generator for Rust
Seastar - High performance server-side application framework
rust-peg - Parsing Expression Grammar (PEG) parser generator for Rust
monoio - Rust async runtime based on io-uring.
pom - PEG parser combinators using operator overloading without macros.
MIO - Metal I/O library for Rust.
chumsky - Write expressive, high-performance parsers with ease.
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
combine - A parser combinator library for Rust