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simsearch

Build Status crates.io docs.rs

A simple and lightweight fuzzy search engine that works in memory, searching for similar strings (a pun here).

Documentation

Usage

Add the following to your Cargo.toml:

[dependencies]
simsearch = "0.2"

Example

use simsearch::SimSearch;

let mut engine: SimSearch<u32> = SimSearch::new();

engine.insert(1, "Things Fall Apart");
engine.insert(2, "The Old Man and the Sea");
engine.insert(3, "James Joyce");

let results: Vec<u32> = engine.search("thngs");

assert_eq!(results, &[1]);

By default, Jaro-Winkler distance is used. An alternative Levenshtein distance, which is SIMD-accelerated but only works for ASCII byte strings, can be specified with custom SearchOptions:

use simsearch::{SimSearch, SearchOptions};

let options = SearchOptions::new().levenshtein(true);
let mut engine: SimSearch<u32> = SimSearch::new_with(options);

Also try the interactive demo by:

$ cargo run --release --example books

Contribution

All kinds of contribution are welcomed.

  • Issus. Feel free to open an issue when you find typos, bugs, or have any question.
  • Pull requests. New collection, better implementation, more tests, more documents and typo fixes are all welcomed.

License

Licensed under MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

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A simple and lightweight fuzzy search engine that works in memory, searching for similar strings (a pun here).

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