komokana VS zsv

kanata[1] and komokana[2].

kanata is basically like QMK for any keyboard without the firmware requirement. I use kanata with my trusty old iMac keyboard which is to this day my favourite keyboard of all time. But now I have all the cool QMK-style layers with it.

So that is awesome on its own, but where it gets even better for me, and this is where the seconds have really added up to hours, is that I wrote another piece of software which programmatically changes layers on kanata whenever a different window is focused in my tiling window manager.

This has honestly changed -everything- for me. I no longer have to waste keys on my keyboard to switch layers, I no longer have to -think- about switching layers, I just focus another window with alt+hjkl and whatever keyboard layer I expect for any given application is automatically applied. Definitely one of those "you can never go back" experiences for me.

[1]: https://github.com/jtroo/kanata

[2]: https://github.com/LGUG2Z/komokana

I have an Ergodox EZ sitting collecting dust these days. I got a great deal of use out of it and before long I was compiling my own firmware and making use of various advanced QMK features that were not available through the online visual layer configuration tool.

The keyboard has great build quality, the customer service is great (I got a free replacement for the right half after an issue with one of the keys), the ortholinear layout isn't that difficult to get used to, but ultimately the issue for me was that my hands aren't big enough to use the keyboard comfortably or to type as accurately as I'd like / as I'm used to typing.

I'm now back on my Apple Magic Keyboard and happier than ever, though with a few tweaks and improvements taken from my time using the Ergodox EZ.

I am now using kanata[1] which allows me to have multiple QMK-style layers on my regular old keyboard. This is already a huge step up from my pre-Ergodox days! I also like that I can have my layer configurations version controlled in a plain old git/dotfiles repo.

Since the layers are handled at the software level, I wrote my own integration with kanata, called komokana[2] to switch keyboard layers programmatically based on different state events emitted from my tiling window manager[3].

What that means in practice is that my keyboard can automatically switch to an app-specific layer when that app's window is focused, or to a workspace specific layer, or to a browser tab-specific layer, or really just switch on any event emitted by the window manager or any specific window manager state.

For me, this is really the killer feature of my setup now, and one that I don't think would be anywhere near as easy to implement with QMK which sits at the hardware level.

[1]: https://github.com/jtroo/kanata

[2]: https://github.com/LGUG2Z/komokana

[3]: https://github.com/LGUG2Z/komorebi

Hello friends! You may know me from my previous posts about my tiling window manager and my automatic keyboard layer switcher (or maybe even my harebrained attempts to get Helix to behave more like Vim!)

With all of these pieces now in place, I am very happy to introduce komokana. an automatic application-aware keyboard layer switcher for Windows.

If it could be tabular in nature, maybe convert to sqlite3 so you can make use of indexing, or CSV to make use of high-performance tools like xsv or zsv (the latter of which I'm an author).

https://github.com/BurntSushi/xsv

https://github.com/liquidaty/zsv/blob/main/docs/csv_json_sql...

Parsing CSV doesn't have to be slow if you use something like xsv or zsv (https://github.com/liquidaty/zsv) (disclaimer: I'm an author). The speed of CSV parsers is fast enough that unless you are doing something ultra-trivial such as "count rows", your bottleneck will be elsewhere.

The benefits of CSV are:

- human readable

- does not need to be typed (sometimes, data in the raw such as date-formatted data is not amenable to typing without introducing a pre-processing layer that gets you further from the original data)

- accessible to anyone: you don't need to be a data person to dbl-click and open in Excel or similar

The main drawback is that if your data is already typed, CSV does not communicate what the type is. You can alleviate this through various approaches such as is described at https://github.com/liquidaty/zsv/blob/main/docs/csv_json_sql..., though I wouldn't disagree that if you can be assured that your starting data conforms to non-text data types, there are probably better formats than CSV.

The main benefit of Arrow, IMHO, is less as a format for transmitting / communicating but rather as a format for data at rest, that would benefit from having higher performance column-based read and compression

I wanted so much to use csvkit and all the features it had, but its horrendous performance made it unscalable and therefore the more I used it, the more technical debt I accumulated.

This was one of the reasons I wrote zsv (https://github.com/liquidaty/zsv). Maybe csvkit could incorporate the zsv engine and we could get the best of both worlds?

Examples (using majestic million csv):

---

}

```

This of course assumes that each line is a single record, so you'll need some preprocessing if your CSV might contain embedded line-ends. For the preprocessing, you can use something like the `2tsv` command of https://github.com/liquidaty/zsv (disclaimer: I'm its author), which converts CSV to TSV and replaces newline with \n.

You can also use something like `xsv split` (see https://lib.rs/crates/xsv) which frankly is probably your best option as of today (though zsv will be getting its own shard command soon)

Am looking for one-time help creating documentation (e.g. man pages, tutorials) for open source project (e.g. https://github.com/liquidaty/zsv) as well as product documentation for commercial products, but not enough need for a full-time job. Requires familiarity with, for lack of better term, data janitorial work, and preferably with methods of auto-generating documentation. Any suggestions as to forums or other ways to find folks who might fit the bill for ad-hoc or part-time work of this nature?

Nice work. I am a fan of tools like this and look forward to giving this a try.

However, in my first attempted query (version 3.1.6 on MacOS), I ran into significant performance limitations and more importantly, it did not give correct output.

In particular, running on a narrow table with 1mm rows (the same one used in the xsv examples) using the command "select country, count() from worldcitiespop_mil.csv group by country" takes 12 seconds just to get an incorrect error 'no such column: country'.

using sqlite3, it takes two seconds or so to load, and less than a second to run, and gives me the correct result.

Using https://github.com/liquidaty/zsv (disclaimer, I'm one of its authors), I get the correct results in 0.95 seconds with the one-liner `zsv sql 'select country, count() from data group by country' worldcitiespop_mil.csv`.

I look forward to trying it again sometime soon

All this banter arguing over CSV, JSON, sqlite seems unnecessary when you can just push format X through a pipe and get whichever format Y you want back out: https://github.com/liquidaty/zsv/blob/main/docs/csv_json_sql...

(disclaimer: I'm one of the zsv authors)