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A generic framework for on-demand, incrementalized computation. Inspired by adapton, glimmer, and rustc's query system.
596461c213
The traits are now quite simple: * Database is the external trait * ZalsaDatabase is the internal one, implemented by `#[salsa::db]`. It adds two methods, `zalsa` and `zalsa_mut`. Those give access to our internal methods. For now I've hidden the methods behind `&dyn Zalsa`. This is nice and clean but it may be worth later refactoring to a `struct Zalsa`. |
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| .github | ||
| benches | ||
| book | ||
| components | ||
| examples | ||
| src | ||
| tests | ||
| .dir-locals.el | ||
| .gitignore | ||
| Cargo.toml | ||
| FAQ.md | ||
| LICENSE-APACHE | ||
| LICENSE-MIT | ||
| README.md | ||
| RELEASES.md | ||
salsa
A generic framework for on-demand, incrementalized computation.
Obligatory warning
Very much a WORK IN PROGRESS at this point. Ready for experimental use but expect frequent breaking changes.
Credits
This system is heavily inspired by adapton, glimmer, and rustc's query system. So credit goes to Eduard-Mihai Burtescu, Matthew Hammer, Yehuda Katz, and Michael Woerister.
Key idea
The key idea of salsa is that you define your program as a set of
queries. Every query is used like function K -> V that maps from
some key of type K to a value of type V. Queries come in two basic
varieties:
- Inputs: the base inputs to your system. You can change these whenever you like.
- Functions: pure functions (no side effects) that transform your inputs into other values. The results of queries are memoized to avoid recomputing them a lot. When you make changes to the inputs, we'll figure out (fairly intelligently) when we can re-use these memoized values and when we have to recompute them.
Want to learn more?
To learn more about Salsa, try one of the following:
- read the heavily commented
hello_worldexample; - check out the Salsa book;
- watch one of our videos.
Getting in touch
The bulk of the discussion happens in the issues and pull requests, but we have a zulip chat as well.