midi-redis
glommio
midi-redis | glommio | |
---|---|---|
1 | 29 | |
27 | 2,851 | |
- | 1.5% | |
0.0 | 7.6 | |
almost 2 years ago | 4 days ago | |
C++ | Rust | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
midi-redis
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Dragonflydb – A modern replacement for Redis and Memcached
Yes, helio is the library that allows you to build c++ backends easily similar to Seastar. Unlike Seastar that is designed as futures and continuations library, helio uses fibers which I think simpler to use and reason about. I've wrote a few blog posts a while ago about fibers and Seastar: https://www.romange.com/2018/07/12/seastar-asynchronous-c-fr... one of them. You will see there a typical Seastar flow with continuations. I just do not like this style and I think C++ is not a good fit for it. Having said that, I do think Seastar is 5-star framework and the team behind it are all superstars. I learned about shared-nothing architecture from Seastar.
Re helio: You will find examples folder inside the projects with sample backends: echo_server and pingpong_server. Both are similar but the latter speaks RESP. I also implemented a toy midi-redis project https://github.com/romange/midi-redis which is also based on helio.
In fact dragonfly evolved from it.
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?
dragonfly - A modern replacement for Redis and Memcached
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
cachegrand - cachegrand - a modern data ingestion, processing and serving platform built for today's hardware
tokio-uring - An io_uring backed runtime for Rust
webdis - A Redis HTTP interface with JSON output
Seastar - High performance server-side application framework
helio - A modern framework for backend development based on io_uring Linux interface
monoio - Rust async runtime based on io-uring.
amzn-drivers - Official AWS drivers repository for Elastic Network Adapter (ENA) and Elastic Fabric Adapter (EFA)
MIO - Metal I/O library for Rust.
Aerospike - Aerospike Database Server – flash-optimized, in-memory, nosql database
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.