🐎 daachorse: Double-Array Aho-Corasick

⚠ CAUTION ⚠ This is a personal fork to publish changes that have not been merged into the upstream repository. It is only published to allow a dependent crate to be published. It is meant as a personal fork and not recommended for general use.

A fast implementation of the Aho-Corasick algorithm using the compact double-array data structure.

The main technical ideas behind this library appear in the following paper:

Shunsuke Kanda, Koichi Akabe, and Yusuke Oda. Engineering faster double-array Aho-Corasick automata. Software: Practice and Experience (SPE), 53(6): 1332–1361, 2023 (arXiv)

A Python wrapper is also available here.

Overview

Daachorse is a crate for fast multiple pattern matching using the Aho-Corasick algorithm, running in linear time over the length of the input text. This crate uses the compact double-array data structure for implementing the pattern match automaton for time and memory efficiency. The data structure not only supports constant-time state-to-state traversal but also represents each state in the space of only 12 bytes.

For example, compared to the NFA of the aho-corasick crate, which is the most popular Aho-Corasick implementation in Rust, Daachorse can perform pattern matching 3.0–5.2 times faster while consuming 56–60% smaller memory when using a word dictionary of 675K patterns. Other experimental results are available on Wiki.

Requirements

Rust 1.61 or higher is required to build this crate.

Example usage

Daachorse contains some search options, ranging from standard matching with the Aho-Corasick algorithm to trickier matching. They will run very fast based on the double-array data structure and can be easily plugged into your application, as shown below.

Finding overlapped occurrences

To search for all occurrences of registered patterns that allow for positional overlap in the input text, use find_overlapping_iter(). When you use new() for construction, the library assigns a unique identifier to each pattern in the input order. The match result has the byte positions of the occurrence and its identifier.

use aneubeck_daachorse::DoubleArrayAhoCorasick;

let patterns = vec!["bcd", "ab", "a"];
let pma = DoubleArrayAhoCorasick::new(patterns).unwrap();

let mut it = pma.find_overlapping_iter("abcd");

let m = it.next().unwrap();
assert_eq!((0, 1, 2), (m.start(), m.end(), m.value()));

let m = it.next().unwrap();
assert_eq!((0, 2, 1), (m.start(), m.end(), m.value()));

let m = it.next().unwrap();
assert_eq!((1, 4, 0), (m.start(), m.end(), m.value()));

assert_eq!(None, it.next());

Finding non-overlapped occurrences with the standard matching

If you do not want to allow positional overlap, use find_iter() instead. It performs the search on the Aho-Corasick automaton and reports patterns first found in each iteration.

use aneubeck_daachorse::DoubleArrayAhoCorasick;

let patterns = vec!["bcd", "ab", "a"];
let pma = DoubleArrayAhoCorasick::new(patterns).unwrap();

let mut it = pma.find_iter("abcd");

let m = it.next().unwrap();
assert_eq!((0, 1, 2), (m.start(), m.end(), m.value()));

let m = it.next().unwrap();
assert_eq!((1, 4, 0), (m.start(), m.end(), m.value()));

assert_eq!(None, it.next());

Finding non-overlapped occurrences with the longest matching

If you want to search for the longest pattern without positional overlap in each iteration, use leftmost_find_iter() with specifying MatchKind::LeftmostLongest in the construction.

use aneubeck_daachorse::{DoubleArrayAhoCorasickBuilder, MatchKind};

let patterns = vec!["ab", "a", "abcd"];
let pma = DoubleArrayAhoCorasickBuilder::new()
    .match_kind(MatchKind::LeftmostLongest)
    .build(&patterns)
    .unwrap();

let mut it = pma.leftmost_find_iter("abcd");

let m = it.next().unwrap();
assert_eq!((0, 4, 2), (m.start(), m.end(), m.value()));

assert_eq!(None, it.next());

Finding non-overlapped occurrences with the leftmost-first matching

If you want to find the earliest registered pattern among ones starting from the search position, use leftmost_find_iter() with specifying MatchKind::LeftmostFirst.

This is the so-called leftmost first match, a tricky search option supported in the aho-corasick crate. For example, in the following code, ab is reported because it is the earliest registered one.

use aneubeck_daachorse::{DoubleArrayAhoCorasickBuilder, MatchKind};

let patterns = vec!["ab", "a", "abcd"];
let pma = DoubleArrayAhoCorasickBuilder::new()
    .match_kind(MatchKind::LeftmostFirst)
    .build(&patterns)
    .unwrap();

let mut it = pma.leftmost_find_iter("abcd");

let m = it.next().unwrap();
assert_eq!((0, 2, 0), (m.start(), m.end(), m.value()));

assert_eq!(None, it.next());

Associating arbitrary values with patterns

To build the automaton from pairs of a pattern and user-defined value, instead of assigning identifiers automatically, use with_values().

use aneubeck_daachorse::DoubleArrayAhoCorasick;

let patvals = vec![("bcd", 0), ("ab", 10), ("a", 20)];
let pma = DoubleArrayAhoCorasick::with_values(patvals).unwrap();

let mut it = pma.find_overlapping_iter("abcd");

let m = it.next().unwrap();
assert_eq!((0, 1, 20), (m.start(), m.end(), m.value()));

let m = it.next().unwrap();
assert_eq!((0, 2, 10), (m.start(), m.end(), m.value()));

let m = it.next().unwrap();
assert_eq!((1, 4, 0), (m.start(), m.end(), m.value()));

assert_eq!(None, it.next());

Building faster automata on multibyte characters

To build a faster automaton on multibyte characters, use CharwiseDoubleArrayAhoCorasick instead.

The standard version DoubleArrayAhoCorasick handles strings as UTF-8 sequences and defines transition labels using byte values. On the other hand, CharwiseDoubleArrayAhoCorasick uses Unicode code point values, reducing the number of transitions and faster matching.

use aneubeck_daachorse::CharwiseDoubleArrayAhoCorasick;

let patterns = vec!["全世界", "世界", "に"];
let pma = CharwiseDoubleArrayAhoCorasick::new(patterns).unwrap();

let mut it = pma.find_iter("全世界中に");

let m = it.next().unwrap();
assert_eq!((0, 9, 0), (m.start(), m.end(), m.value()));

let m = it.next().unwrap();
assert_eq!((12, 15, 2), (m.start(), m.end(), m.value()));

assert_eq!(None, it.next());

no_std

Daachorse has no dependency on std (but requires a global allocator with the alloc crate).

CLI

This repository contains a command-line interface named daacfind for searching patterns in text files.

% cat ./pat.txt
fn
const fn
pub fn
unsafe fn
% find . -name "*.rs" | xargs cargo run --release -p daacfind -- --color=auto -nf ./pat.txt
...
...
./src/errors.rs:67:    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
./src/errors.rs:81:    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
./src/lib.rs:115:    fn default() -> Self {
./src/lib.rs:126:    pub fn base(&self) -> Option<u32> {
./src/lib.rs:131:    pub const fn check(&self) -> u8 {
./src/lib.rs:136:    pub const fn fail(&self) -> u32 {
...
...

FAQ

• Does this library support data types other than str and [u8]? (e.g., structures implementing Eq.)

  Not supported. This library uses Aho-Corasick automata built with a data structure called double-array trie. The algorithm on this data structure works with XOR operations on the input haystack. Therefore, the haystack must be a sequence of integers. This library is specially optimized for str and [u8] among integer sequences.

• Does this library provide bindings to programming languages other than Rust?

  We are providing a Python binding. Other programming languages are not currently planned to be supported. If you are interested in writing bindings, you are welcome to do so. daachorse is free software.

Slack

We have a Slack workspace for developers and users to ask questions and discuss a variety of topics.

• https://daac-tools.slack.com/
• Please get an invitation from here.

License

Licensed under either of

• Apache License, Version 2.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
• MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

at your option.

If you use this library in academic settings, please cite the following paper.

@article{10.1002/spe.3190,
    author = {Kanda, Shunsuke and Akabe, Koichi and Oda, Yusuke},
    title = {Engineering faster double-array {Aho--Corasick} automata},
    journal = {Software: Practice and Experience},
    volume={53},
    number={6},
    pages={1332--1361},
    year={2023},
    keywords = {Aho–Corasick automata, code optimization, double-array, multiple pattern matching},
    doi = {https://doi.org/10.1002/spe.3190},
    url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/spe.3190},
    eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.3190}
}

Contribution

See the guidelines.