ZIO
glommio
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ZIO | glommio | |
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59 | 29 | |
3,980 | 2,802 | |
0.8% | 2.2% | |
9.5 | 6.8 | |
2 days ago | 9 days ago | |
Scala | 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.
ZIO
- The golden age of Kotlin and its uncertain future
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I had a great experience with Scala and hopefully it will get more popular
scala has 2 healthy and pretty complete lib ecosystems : check out typelevel and ZIO. Both are FP oriented, which might not be your cup of tea at first glance but I would encourage you to try em out ! Softest introduction would be to start with the typelevel cats library and build up from there. The excellent Scala with Cats will ease you softly into an FP mindset. It's a bit dated and for scala 2 only but translating to Scala 3 is a very good exercise if you feel so inclined !
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Is it prudent to use Scala for anything new?
Last but not least, Scala is currently the language with one of the best effect systems in my opinion (https://zio.dev/). Kotlin for example has copied the approach with https://arrow-kt.io/ which I think is great actually. But when comparing Scala and Kotlin here, Scala wins by a large margin, it is a completely different world. It's like building a highly concurrent system in Erlang vs C.
Of course, if you don't want to learn things like union types, traits/typeclasses and effects (similar to async/await but more powerful) you will be annoyed by Scala. But once you learned them, you can never go back.
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How to get started?
ZIO
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Reconnecting with Scala. What's new?
Links: - https://dotty.epfl.ch/ - https://scala-native.org/en/stable/ - https://www.scala-js.org/ - https://typelevel.org/ - https://zio.dev/ - https://github.com/scala-native/scala-native/pull/3120 - https://github.com/lampepfl/dotty/pull/16517 - https://dotty.epfl.ch/docs/reference/experimental/index.html - https://scala-cli.virtuslab.org/ - https://scalameta.org/metals/ - https://docs.scala-lang.org/scala3/guides/migration/compatibility-intro.html - https://www.scala-lang.org/blog/2023/04/18/faster-scalajs-development-with-frontend-tooling.html - https://www.scala-lang.org/blog/2022/08/17/long-term-compatibility-plans.html
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Is Parallel Programming Hard, and, If So, What Can You Do About It? [pdf]
I use ZIO (http://zio.dev) for Scala which makes parallel programming trivial.
Wraps different styles of asynchronicity e.g. callbacks, futures, fibers into one coherent model. And has excellent resource management so you can be sure that when you are forking a task that it will always clean up after itself.
Have yet to see anything that comes close whilst still being practical i.e. you can leverage the very large ecosystem of Java libraries.
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40x Faster! We rewrote our project with Rust!
The one advantage Rust has over Scala is that it detects data races at compile time, and that's a big time saver if you use low level thread synchronization. However, if you write pure FP code with ZIO or Cats Effect that's basically a non-issue anyway.
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What’s so great about functional programming anyway?
> It's a weakness of functional programming, not the language.
I would strongly object this.
Have you seen ZIO?
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Switching career from F# to scala
But overall, I'm happier with Scala. It has not one, but two lively FP communities. I recommend that you pick one of them: ZIO or TypeLevel (Cats Effect, fs2, http4s, ...). To some extent, you can mix TypeLevel libraries in ZIO projects.
- New to Scala;
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:
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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:
What are some alternatives?
cats-effect - The pure asynchronous runtime for Scala
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
tokio-uring - An io_uring backed runtime for Rust
Monix - Asynchronous, Reactive Programming for Scala and Scala.js.
Http4s - A minimal, idiomatic Scala interface for HTTP
Seastar - High performance server-side application framework
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
cats - Lightweight, modular, and extensible library for functional programming.
monoio - Rust async runtime based on io-uring.
MIO - Metal I/O library for Rust.
fs2-kafka - Functional Kafka Streams for Scala
Reactor-Scala-Extensions - A scala extension for Project Reactor's Flux and Mono