Async Ruby
Polyphony
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Async Ruby | Polyphony | |
---|---|---|
20 | 22 | |
1,967 | 651 | |
2.4% | 0.6% | |
7.8 | 8.3 | |
24 days ago | 4 days ago | |
Ruby | C | |
MIT License | MIT License |
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.
Async Ruby
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EventMachine Performance Spikes
The Async gem is the natural successor, It's actively maintained, and allows you write synchronous code is if it wasn't non-blocking, and most libraries don't need any special support for Async (exceptions are gems with C extensions that do I/O and DB libraries with connection pooling that would otherwise be thread-based).
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Philosophy of Coroutines
https://github.com/socketry/async uses coroutines and I think in general it’s been a great model with very few downsides in practice.
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Is ruby really slow?
There's async I/O. Here's a library that leans on Ruby 3's fiber scheduler.
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Show HN: Goru, an experimental, Go-inspired concurrency library for Ruby
Hey folks, wanted to show this off and get feedback. Still early/experimental but there are quite a few concepts I'm excited about here. This project came about while writing a program in Go and loving its approach to concurrency. Being a long-time Rubyist I immediately started to think about what similar concepts might look like in Ruby.
I set out with two main design constraints:
1. Lightweight: I didn't want routines to be backed by fibers or threads. Having been involved some in the async project (https://github.com/socketry/async), I had some experience using fibers for concurrency but was curious if they could be avoided.
2. Explicitness: Routine behavior must be written to describe exactly how it is to behave. I always felt like concurrent code was hard to fully understand because of the indirection involved. On the spectrum between tedium and magical I wanted to err more on the side of tedium with Goru.
Goru routines are just blocks that are called once for every tick of the reactor. It is up to the developer to implement behavior in terms of a state machine, where on each tick the routine takes some action and then updates the state of the routine for the next tick. This fulfills both design constraints:
1. Because routines are just blocks, they weigh in at about ~345 bytes of memory overhead.
2. Routine behavior is explicit because it is written as a state machine inside the block.
Couple more features worth noting:
* Goru includes channels for buffered reading/writing (similar to channels in Go).
* Goru ships with primitives for non-blocking IO to easily build things like http servers.
Curious your thoughts!
- Twitter (re)Releases Recommendation Algorithm on GitHub
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Simple MapReduce that melt my brain (yes, fibers there)
For those who are interested here is the question.
- How does Ruby handle parallel HTTP requests in separate threads?
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Two months into learning Ruby, it is the most beautiful language I ever learned
Welcome! Ruby isn't exactly "dying", but the hype/popularity is definitely fading. This is primarily because Ruby is no longer "new", most of Ruby's popularity came from Rails, and now Rails is no longer the "new hotness". However, Ruby still has lots of awesome features and lots of awesome other libraries and frameworks, such as the new fancy irb gem that uses reline, nokogiri, chunky_png, the async gems, Dragon Ruby, SciRuby, Ronin, and the new Hanami web framework.
- Efficient IO in Linux with io_uring [pdf]
Polyphony
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Should You Be Scared of Unix Signals?
When using green threads/fibers/coroutines, an interesting technique to make signal handling safer is to run the signal handler asynchronously on a separate fiber/green thread. That way most of the problems of dealing with signals go away, and there's basically no limitation on what you can do inside the signal handler.
I've successfully used this technique in Polyphony [1], a fiber-based Ruby gem for writing concurrent programs. When a signal occurs, Polyphony creates a special-purpose fiber that runs the signal handling code. The fiber is put at the head of the run queue, and is resumed once the currently executed fiber yields control.
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Polyphony 1.4 Released
Read the release notes here: https://github.com/orgs/digital-fabric/discussions/110 The Polyphony docs: https://www.rubydoc.info/gems/polyphony The Polyphony repository: https://github.com/digital-fabric/polyphony
- Polyphony: Fine-Grained Concurrency for Ruby
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Polyphony 0.99 released. Last release before 1.0!
Polyphony is a gem for building highly-concurrent Ruby programs. It utilizes Ruby fibers to provide a high-performance safe environment for launching any number of concurrent operations. Under the hood, Polyphony employs io_uring to maximize I/O performance (libev is used on platforms other than recent Linux kernels).
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Async Ruby
how is this diff from: https://github.com/digital-fabric/polyphony
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What's new in Polyphony and Tipi - August 2021 edition
Polyphony is a library for writing highly concurrent Ruby apps. Polyphony harnesses Ruby fibers and a powerful io_uring-based I/O runtime to provide a solid foundation for building high-performance concurrent Ruby apps.
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Sorbet Compiler: An experimental, ahead-of-time compiler for Ruby
> Curious if there’s anything public about improving ruby performance from the I/O angle mentioned in the post.
I'm currently working on Polyphony [0], a Ruby gem for writing highly-concurrent Ruby apps. It uses Ruby fibers under the hood, and does I/O using io_uring (on Linux, there is also a libev-based backend).
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Support for non-blocking fibers by wjordan · Pull Request #2601 · puma/puma
Tipi is from https://github.com/digital-fabric/polyphony and also in the PR they add a gem: https://github.com/digital-fabric/libev_scheduler
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Best of (Ruby) Gems Series - What's Next? What's Hot?
Polyphony
- Ruby 3 is awesome! Writing cooperative multitasking with Fibers is easy.
What are some alternatives?
Concurrent Ruby - Modern concurrency tools including agents, futures, promises, thread pools, supervisors, and more. Inspired by Erlang, Clojure, Scala, Go, Java, JavaScript, and classic concurrency patterns.
EventMachine - EventMachine: fast, simple event-processing library for Ruby programs
Celluloid - Actor-based concurrent object framework for Ruby
Sequel - Sequel: The Database Toolkit for Ruby
render_async - render_async lets you include pages asynchronously with AJAX
net-ssh - Pure Ruby implementation of an SSH (protocol 2) client
ruby-mqtt - Pure Ruby gem that implements the MQTT protocol, a lightweight protocol for publish/subscribe messaging.
Ruby on Rails - Ruby on Rails