Crepe is a library that allows you to write declarative logic programs in Rust, with a Datalog-like syntax. It provides a procedural macro that generates efficient, safe code and interoperates seamlessly with Rust programs.
- Semi-naive evaluation
- Stratified negation
- Automatic generation of indices for relations
- Easily call Rust functions from within Datalog rules
- Typesafe way to initialize
@input
relations - Very fast, compiled directly with the rest of your Rust code
The program below computes the transitive closure of a directed graph. Note
the use of the crepe!
macro.
use crepe::crepe;
crepe! {
@input
struct Edge(i32, i32);
@output
struct Reachable(i32, i32);
Reachable(x, y) <- Edge(x, y);
Reachable(x, z) <- Edge(x, y), Reachable(y, z);
}
fn main() {
let mut runtime = Crepe::new();
runtime.extend(&[Edge(1, 2), Edge(2, 3), Edge(3, 4), Edge(2, 5)]);
let (reachable,) = runtime.run();
for Reachable(x, y) in reachable {
println!("node {} can reach node {}", x, y);
}
}
Output:
node 1 can reach node 2
node 1 can reach node 3
node 1 can reach node 4
node 1 can reach node 5
node 2 can reach node 3
node 2 can reach node 4
node 2 can reach node 5
node 3 can reach node 4
You can do much more with Crepe. The next example shows how you can use
stratified negation, Rust expression syntax, and semi-naive evaluation to find
all paths in a weighted graph with length at most MAX_PATH_LEN
.
use crepe::crepe;
const MAX_PATH_LEN: u32 = 20;
crepe! {
@input
struct Edge(i32, i32, u32);
@output
struct Walk(i32, i32, u32);
@output
struct NoWalk(i32, i32);
struct Node(i32);
Node(x) <- Edge(x, _, _);
Node(x) <- Edge(_, x, _);
Walk(x, x, 0) <- Node(x);
Walk(x, z, len1 + len2) <-
Edge(x, y, len1),
Walk(y, z, len2),
(len1 + len2 <= MAX_PATH_LEN);
NoWalk(x, y) <- Node(x), Node(y), !Walk(x, y, _);
}
fn main() {
let n = 256;
let mut edges = Vec::new();
for i in 0..n {
for j in 0..n {
if rand::random::<f32>() < 0.02 {
edges.push(Edge(i, j, 5));
}
}
}
let mut runtime = Crepe::new();
runtime.extend(edges);
let (walk, nowalk) = runtime.run();
println!("Walk: {}", walk.len());
println!("NoWalk: {}", nowalk.len());
}
Output:
Walk: 89203
NoWalk: 8207
From initial testing, the generated code is very fast. Variants of transitive closure for large graphs (~106 relations) run at comparable speed to compiled Souffle, and use a fraction of the compilation time.
For benchmarks, see the benches/
directory.
The benchmarks can be run using cargo bench
.
This macro generates a Crepe
struct in the current module, as well as structs
for all of the declared relations. This means that to integrate Crepe inside a
larger program, you should put it in its own module with related code. See the
documentation for more information.
This project was heavily inspired by Souffle and Formulog, which both use similar models of Datalog compilation for static analysis.