ants
ripgrep
ants | ripgrep | |
---|---|---|
8 | 348 | |
12,114 | 45,040 | |
- | - | |
7.1 | 9.3 | |
22 days ago | 13 days ago | |
Go | Rust | |
MIT License | The Unlicense |
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.
ants
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Rust vs Go Issue
I remember doing something similar to OP recently. Goroutines also incur a bit of overhead (have to be GC'd and so on), and the same worker pool technique can be applied to them in much the same way, as seen in popular libraries like https://github.com/panjf2000/ants
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Beginner ~ Intermediate Go programmer, how can I get better in go and get out of the "beginner" phase?
The best example I can give you is https://github.com/nutsdb/nutsdb it’s great project that got me started, one thing one should know is Go is different “yep” so there’re some coding habits that may bite you in Go and the Go compiler won’t correct you, you wanna learn about optimizations, unsafe usage check out https://github.com/valyala/fasthttp (note this is deep the rabbit hole), wanna learn concurrency check out ants https://github.com/panjf2000/ants with a little aid from “Go by example” you’re good to go
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Conc: Better Structured Concurrency for Go
conc seem similar to ant lib (https://github.com/panjf2000/ants). Is there any considerable difference between them?
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[Side Project] Post automated Youtube videos from Reddit
But still, that looked hard to maintain, and I asked myself there has to be a better way to do this, just out of curiosity i googled and came across ants which seemed exactly right for this kind of functionality I wanted, so I converted the same function to use ants, and it became this:
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Dynamic number of Goroutines based on load?
You can try use this one https://github.com/panjf2000/ants We are using that as well for that purpose
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Itogami, the best golang thread-pool till date
Benchmarking was performed against existing golang threadpool implementations Ants and Gamma-Zero-Worker-Pool and unlimited goroutines
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Hello! Please explain what a pool?
The readme of the project explains it very well: https://github.com/panjf2000/ants
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Parapipe - FIFO paralleling pipeline with concurrent job processing
Looks interesting, but what new concepts/features does it bring to the table compared to the already battletested ants library? Link: https://github.com/panjf2000/ants
ripgrep
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Ask HN: What software sparks joy when using?
ripgrep - https://github.com/BurntSushi/ripgrep
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Code Search Is Hard
Basic code searching skills seems like something new developers are never explicitly taught, but which is an absolutely crucial skill to build early on.
I guess the knowledge progression I would recommend would look something kind this:
- Learning about Ctrl+F, which works basically everywhere.
- Transitioning to ripgrep https://github.com/BurntSushi/ripgrep - I wouldn't even call this optional, it's truly an incredible and very discoverable tool. Requires keeping a terminal open, but that's a good thing for a newbie!
- Optional, but highly recommended: Learning one of the powerhouse command line editors. Teenage me recommended Emacs; current me recommends vanilla vim, purely because some flavor of it is installed almost everywhere. This is so that you can grep around and edit in the same window.
- In the same vein, moving back from ripgrep and learning about good old fashioned grep, with a few flags rg uses by default: `grep -r` for recursive search, `grep -ri` for case insensitive recursive search, and `grep -ril` for case insensitive recursive "just show me which files this string is found in" search. Some others too, season to taste.
- Finally hitting the wall with what ripgrep can do for you and switching to an actual indexed, dedicated code search tool.
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Level Up Your Dev Workflow: Conquer Web Development with a Blazing Fast Neovim Setup (Part 1)
live grep: ripgrep
- Ripgrep
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Modern Java/JVM Build Practices
The world has moved on though to opinionated tools, and Rust isn't even the furthest in that direction (That would be Go). The equivalent of those two lines in Cargo.toml would be this example of a basic configuration from the jacoco-maven-plugin: https://www.jacoco.org/jacoco/trunk/doc/examples/build/pom.x... - That's 40 lines in the section to do the "defaults".
Yes, you could add a load of config for files to include/exclude from coverage and so on, but the idea that that's a norm is way more common in Java projects than other languages. Like here's some example Cargo.toml files from complicated Rust projects:
Servo: https://github.com/servo/servo/blob/main/Cargo.toml
rust-gdext: https://github.com/godot-rust/gdext/blob/master/godot-core/C...
ripgrep: https://github.com/BurntSushi/ripgrep/blob/master/Cargo.toml
socketio: https://github.com/1c3t3a/rust-socketio/blob/main/socketio/C...
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Ugrep – a more powerful, ultra fast, user-friendly, compatible grep
I'm not clear on why you're seeing the results you are. It could be because your haystack is so small that you're mostly just measuring noise. ripgrep 14 did introduce some optimizations in workloads like this by reducing match overhead, but I don't think it's anything huge in this case. (And I just tried ripgrep 13 on the same commands above and the timings are similar if a tiny bit slower.)
[1]: https://github.com/radare/ired
[2]: https://github.com/BurntSushi/ripgrep/discussions/2597
- Tell HN: My Favorite Tools
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Potencializando Sua Experiência no Linux: Conheça as Ferramentas em Rust para um Desenvolvimento Eficiente
Explore o Ripgrep no repositório oficial: https://github.com/BurntSushi/ripgrep
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Scrybble is the ReMarkable highlights to Obsidian exporter I have been looking for
🔎🗃️ ripgrep or ugrep (search fast, use regex patterns or fuzzy search, pipe output to bash/zsh shell for further processing V coloring)
- RFC: Add ngram indexing support to ripgrep (2020)
What are some alternatives?
tunny - A goroutine pool for Go
telescope-live-grep-args.nvim - Live grep with args
goworker - goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers.
fd - A simple, fast and user-friendly alternative to 'find'
pond - 🔘 Minimalistic and High-performance goroutine worker pool written in Go
ugrep - ugrep 5.1: A more powerful, ultra fast, user-friendly, compatible grep. Includes a TUI, Google-like Boolean search with AND/OR/NOT, fuzzy search, hexdumps, searches (nested) archives (zip, 7z, tar, pax, cpio), compressed files (gz, Z, bz2, lzma, xz, lz4, zstd, brotli), pdfs, docs, and more
workerpool - Go simple async worker pool
the_silver_searcher - A code-searching tool similar to ack, but faster.
threadpool - Golang simple thread pool implementation
fzf - :cherry_blossom: A command-line fuzzy finder
go-waitgroup - A sync.WaitGroup with error handling and concurrency control
alacritty - A cross-platform, OpenGL terminal emulator.