* [MM-20979] Add first implementation of the Bleve search engine * Fix i18n * Migrate searchengine utils tests * Fix linter * Don't add allTermsQ if both termQueries and notTermQueries are empty * Fix test that should work if user is system admin * Modify naming according to review comments * Abstract getIndexDir function * Extracting bleve engine name as a constant * Merge both Indexer interfaces into one * Add worker stopped message * Allow worker to be started/stopped with config change * Use constants for index names * Modify test order * Fix linter * Trying to unlock the CI
levenshtein
levenshtein automaton
This package makes it fast and simple to build a finite determinic automaton that computes the levenshtein distance from a given string.
Sample usage:
// build a re-usable builder
lb := NewLevenshteinAutomatonBuilder(2, false)
origTerm := "couchbasefts"
dfa := lb.BuildDfa("couchbases", 2)
ed := dfa.eval([]byte(origTerm))
if ed.distance() != 2 {
log.Errorf("expected distance 2, actual: %d", ed.distance())
}
This implementation is inspired by blog post and is intended to be a port of original rust implementation: https://github.com/tantivy-search/levenshtein-automata
Micro Benchmark Results against the current vellum/levenshtein is as below.
BenchmarkNewEditDistance1-8 30000 52684 ns/op 89985 B/op 295 allocs/op
BenchmarkOlderEditDistance1-8 10000 132931 ns/op 588892 B/op 363 allocs/op
BenchmarkNewEditDistance2-8 10000 199127 ns/op 377532 B/op 1019 allocs/op
BenchmarkOlderEditDistance2-8 2000 988109 ns/op 4236609 B/op 1898 allocs/op