Comment

Comment by kylewlacy

I'd definitely like to have good performance even for large build graphs! I'm hoping the laziness exists "where it counts". To walk through an example, if you build your backend, and your backend calls the function `postgres()`, and that calls `openssl()`, and THAT calls `gcc()`, etc., etc., each function is basically building an object to represent its chunk of the build graph (each function returns a "recipe"). Nothing gets built until that object gets returned from the top-level function and the runtime does something with it

In other words, the eager part is basically constructing the build graph. Maybe I'm wrong but I don't that this would necessarily be slower than the lazy version. In practice the most complex build graph I've made is basically the full chain of Linux From Scratch builds (that's the basis for my toolchain currently), and I think that takes about 400-500ms to evaluate. It's about 160 build steps, so it's not _simple_ but I know build graphs can also get a lot more complex, so I'll just have to keep an eye on performance as I start to get into more and more complex builds

Maybe I'm missing something but intuitively I'd expect this approach to be fairly efficient-- as long as build scripts only call these functions when they're used as part of the build graph

parent kylewlacy 2 years ago

Discussion

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton