effection
Async Ruby
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effection | Async Ruby | |
---|---|---|
5 | 20 | |
490 | 1,983 | |
8.4% | 2.3% | |
9.3 | 7.8 | |
about 2 months ago | 12 days ago | |
TypeScript | Ruby | |
MIT License | MIT License |
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effection
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Bun, JavaScript, and TCO
While working on effection (https://github.com/thefrontside/effection) we spent a bunch of time ensuring that our delimited continuations could handle deep recursive call stacks in Deno.
PR: https://github.com/thefrontside/continuation/pull/11
TCO would have definitely simplified this issue.
What’s worse is hitting maximum memory callstack exception is very tricky to catch and is not reliable across runtimes. So when a user hits it it can be tricky to track down.
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Effection 3.0 – Structured Concurrency and Effects for JavaScript
`redux-saga` maintainer here.
I've been using `effection` to build a replacement for `redux-saga` over at https://github.com/neurosnap/starfx
Effection has demonstrated to me how truly powerful delimited continuations are and why structured concurrency is an incredible asset for anything that requires async flow control -- basically everything in TS/JS.
I know sometimes it's hard to imagine why someone would need structured concurrency or care about delimited continuations for a front-end application, but this is a game changer in terms of expressing async flow control.
Some things to note about Effection:
- API surface area is small https://github.com/thefrontside/effection/issues/851
- It tries to stay as close to JS constructs as possible so it will feel very familiar
- Resource cleanup is automatic (when a function passes out of scope all descendent tasks are shut down automatically)
- End-user doesn't need to think about delimited continuations
The only leap users need to "deal with" coming from async/await is the syntax.
import { main, call } from "effection";
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Internals of Async / Await in JavaScript
- https://github.com/thefrontside/continuation
- https://github.com/thefrontside/effection/tree/v3
- https://github.com/neurosnap/starfx
The last one intends to replace redux-saga using DCs.
Here’s a presentation I gave recently talking about DCs in typescript: https://youtu.be/uRbqLGj_6mI?si=XI0JNMKMoO2VHMvM
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Philosophy of Coroutines
https://github.com/thefrontside/effection/tree/v3
- Effection: Structured concurrency and effects framework for JavaScript
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.
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ruby has supported native async or not?
In Github, there is a Async Gem(https://github.com/socketry/async).
- Efficient IO in Linux with io_uring [pdf]
What are some alternatives?
myproxy - MySQL proxy
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.
starfx - A modern approach to side-effect and state management for web apps.
EventMachine - EventMachine: fast, simple event-processing library for Ruby programs
kal - A powerful, easy-to-use, and easy-to-read programming language for the future.
Polyphony - Fine-grained concurrency for Ruby
assembly - assembly projects
Celluloid - Actor-based concurrent object framework for Ruby
libcommon - Library of reusable C++ code
Sequel - Sequel: The Database Toolkit for Ruby
async-ray - Provide async/await callbacks for every, find, findIndex, filter, forEach, map, reduce, reduceRight and some methods in Array.
net-ssh - Pure Ruby implementation of an SSH (protocol 2) client