sqltorrent VS datasette

Or even better store data as an sqlite file that is full-text-search indexed. Then you can full-text search the torrent on demand: https://github.com/bittorrent/sqltorrent

"There was that project some guy posted a while back that used a combination of sqlite and partial downloads to enable searches on a database before it was downloaded all the way."

https://github.com/bittorrent/sqltorrent

Interesting question. I looked at the source code to understand that.

SQLite knows where to look for when you open a SQLite database and you run a query, right? It just asks the underlying filesystem to provide N bytes starting from an offset using a C function, then it repeats the same operation on different portions of the file, it does its computation and everybody is happy.

The software relies on sqltorrent, which is a custom VFS for SQLite. That means that SQLite function to read data from a file stored in the filesystem is replaced by a custom function. Such custom code computes which Torrent block(s) should have the highest priority, by dividing the offset and the number of bytes that SQLite wants to read by the size of the torrent blocks. It is just a division.

See: https://github.com/bittorrent/sqltorrent/blob/master/sqltorr...

Simon Willison's github would be a great place to get started imo -

https://github.com/simonw/datasette

I'm a fan on simonw's datasette/dogsheep ecosystem https://datasette.io/

I use Anki the exact same way. After a lifetime of learning I have accepted that I will never read over anything I write for myself voluntarily - so my two options are:

1. Write an article so good I can publish it and look it over myself later on. I did this last year with https://andrew-quinn.me/fzf/, for example.

2. Create Anki cards out of the material. Use the builtin Card Browser or even https://datasette.io/ on the underlying SQLite database in a pinch to search for my notes any time I have to.

Were you aware of, or tempted by https://datasette.io/ for creating your solution?

Browsing HN, GitHub and the like we get to see a huge variety of software products and code bases.

I often see products and think - if this product X, got together with Y, it would be pretty cool - kind of like if they had a kid together.

Not too literally, but more on the conceptual level - my level of programming is low.

E.g. Just some....

- pocketable.io & datasette (+with some more charting) [https://pocketbase.io, https://datasette.io]

You might like the Datasette project: https://datasette.io/

I don't think they are desperate for contributions but it's a welcoming environment and a fun project to hack on. You'll learn a lot just from reading the source and the incredibly informative PRs. The creator is a really talented developer with a great blog which shows up on the HN front page often.

Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.

> uploads of boring raw excel data and receive a nice UI

https://datasette.io/