# regex-filtered: FilteredRE2 for rust-regex This crate implements the logic behind [`FilteredRE2`] on top of [`regex`]. The purpose is to allow efficient selection of one or more regexes matching an input from a *large* set without having to check every regex linearly, by prefiltering candidate regexes and only matching those against the input. This should be preferred to [`regex::RegexSet`] if the regexes are non-trivial (e.g. non-literal), as [`regex::RegexSet`] constructs a single state machine which quickly grows huge and slow. Linear matching does not have *that* issue and works fine with complex regexes, but doesn't scale as the number of regexes increases and match failures quickly get very expensive (as they require traversing the entire set every time). ## Usage ``` rust let matcher = regex_filtered::Builder::new() .push("foo")? .push("bar")? .push("baz")? .push("quux")? .build()?; assert!(matcher.is_match("bar")); assert_eq!(matcher.matching("baz").count(), 1); assert_eq!(matcher.matching("foo quux").count(), 2); # Ok::<(), Box>(()) ``` [`Regexes::is_match`] returns whether *any* pattern in the set matches the haystack. It is essentially equivalent to `matcher.matching(...).next().is_some()`. [`Regexes::matching`] returns an iterator of matching [`regex::Regex`] and corresponding index. The index can be used to look up ancillary data (e.g. replacement content), and the [`regex::Regex`] can be used to [`regex::Regex::find`] or [`regex::Regex::captures`] data out of the haystack. ## Notes `regex-filtered` only returns the matching regexes (and their index) as capturing especially is *significantly* more expensive than checking for a match, this slightly pessimises situations where the prefilter prunes perfectly but it is a large gain as soon as that's not the case and the prefilter has to be post-filtered. ## Concepts From a large set of regexes, extract distinguishing literal tokens, match the tokens against the input, reverse-lookup which regexes the matching tokens correspond to, and only run the corresponding regexes on the input. This extraction is done by gathering literal items, converting them to content sets, then symbolically executing concatenations and alternations (`|`) in order to find out what literal items *need* to be present in the haystack for this regex to match. A reverse index is then built from literal items to regexes. At match time, a prefilter is run checking which literals are present in the haystack then find out what regexes that corresponds to, following which the regexes themselves are matched against the haystack to only return actual matching regexes. ## Divergences While [`FilteredRE2`] requires the user to perform prefiltering, `regex-filtered` handles this internally: [`aho-corasick`] is pretty much ideal for that task and already a dependency of [`regex`] which `regex-filtered` based on. ## TODO - add a stats feature to report various build-size infos e.g. - number of tokens - number of regexes - number of unfiltered regexes, this would be useful to know if prefiltering will be done or a naive sequential application would be a better idea. - ratio of checked regexes to successes (how does it work with lazy iterators?) - total / prefiltered (- unfiltered) so atom size impact can be evaluated - also maybe mapper stats on the pruning stuff and whatever [`aho-corasick`]: https://docs.rs/aho-corasick/ [`FilteredRE2`]: https://github.com/google/re2/blob/main/re2/filtered_re2.h [`regex`]: https://docs.rs/regex/ [`regex-syntax`]: https://docs.rs/regex-syntax/