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#87 in Algorithms

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Used in 57 crates (21 directly)

Apache-2.0 OR MIT

1.5MB
7.5K SLoC

salsa

Test Book Released API docs Crates.io

A generic framework for on-demand, incrementalized computation.

Salsa Logo

Obligatory warning

Very much a WORK IN PROGRESS at this point.

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:

Getting in touch

The bulk of the discussion happens in the issues and pull requests, but we have a zulip chat as well.

Contributing

To create a release and publish to crates.io, follow the steps:

  1. Update the version field in Cargo.toml.
  2. Create a Git tag. The tag name must follow the format like "v*..".
  3. Push. GitHub Actions will publish the crate to crates.io automatically.

Dependencies

~4–27MB
~382K SLoC