[pronoiac]

I did some benchmarking of compression and decompression last year. Raspberry Pi 4, Debian, and my corpus was a filesystem with a billion files on it, as a sparse tar of a drive image, which I acknowledge is an odd choice, but that's where my focus was. I made graphs, because the tables were overwhelming. (Which also applies to this post, I think.) There's a blog post, but I think, more quickly useful:

* the graphs - https://gitlab.com/pronoiac/billion-file-fs/-/tree/main/grap...

* the Pareto frontier for compression vs time: zstd -1 and -9, plzip -0, xz -1 and -9. lzop -1 was a bit faster, and plzip -9 a bit smaller, but they had heavy penalties on the other axis.

I wasn't aware of Snappy.