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A generic framework for on-demand, incrementalized computation. Inspired by adapton, glimmer, and rustc's query system.
e83bae717d
Instead of creating a future for each edge in the graph, we now have all dependent queries block in the runtime and wake up whenever results are published to see if their results are ready. We could certainly allocate a CondVar for each dependent query if we found that spurious wakeups were a problem. I consider this highly unlikely in practice. |
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.github/workflows | ||
book | ||
components/salsa-macros | ||
examples | ||
src | ||
tests | ||
.dir-locals.el | ||
.gitignore | ||
bors.toml | ||
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 is 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_world
example; - 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.