regex-automata VS ripgrep

I believe you're the second person to tell me they were confused by this, so there are probably several others confused but didn't say anything. I've added a warning to the top of regex-automata's README.

For anyone following along at home, we're having a very helpful discussion about the implementation I posted in my sibling comment here: https://github.com/BurntSushi/regex-automata/issues/30

My current technique only gets applied to alternations of simple literals. But the idea is generalizeable and I speculate that it is actually impactful to generalize it.

(I could use '_ => {}' instead of 'None' to save a few more.)

I do find the 'if let' variant to be a bit easier to read. It's optimizing for a particular and somewhat common case, so it does of course overlap with 'match'. But I don't find this particular overlap to be too bad. It's usually pretty clear when to use one vs the other.

But like I said, I could live without 'if let'. It is not a major quality of life enhancement to me. Neither will its impending extensions. i.e., 'if let pattern = foo && some_booolean_condition {'.

[1]: https://github.com/BurntSushi/regex-automata/blob/fbae906823...

[2]: https://github.com/BurntSushi/regex-automata/blob/fbae906823...

(The work on regex-automata 0.2 has been underway for over a year now.](https://github.com/BurntSushi/regex-automata/tree/ag/work) There's a lot done, but still a lot more to go. Once that's done, regex proper should be pretty close to a thin layer that glues regex-syntax, regex-automata, memchr and aho-corasick together. I don't currently expect regex to grow any more dependencies than that. And as it is, aho-corasick and memchr are both optional dependencies. Right now, regex-syntax is the only required dependency, but regex-automata will be added to that list.

ripgrep - https://github.com/BurntSushi/ripgrep

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.

live grep: ripgrep

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...

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

Explore o Ripgrep no repositório oficial: https://github.com/BurntSushi/ripgrep

🔎🗃️ ripgrep or ugrep (search fast, use regex patterns or fuzzy search, pipe output to bash/zsh shell for further processing V coloring)