Trie
Blazing fast <1kb search
Installation
NPM
npm install @metacorp/trie
CDN
<script src="https://unpkg.com/@metacorp/trie"></script>
Usage
Initialize Trie with an array of data.
const trie = new Trie(['Apple', 'Lemon', 'Orange', 'Tomato'])
Now you can search for a query within the data, and Trie will return results.
trie.search('App')
Or add word to the data.
trie.addWord('Kiwi')
About
This repo is heavily inspired from Wade.
It's a simpler version of it without the ability to score the results, but is therefore significantly faster, and allow to add word after initialisation.
Trie comes in two implementations of prefix tree.
Version 1:
- bundle size: 1.55kb(min) - 757b(gzip)
- init speed: 12.24 Ops/sec
- search speed: 79,000 Ops/sec
Version 2:
- bundle size: 1.94kb(min) - 831b(gzip)
- init speed: 3.07 Ops/sec
- search speed: 94,000 Ops/sec
Check jsperf here:
And bundle size: here
Processors
Trie uses a set of processors to preprocess data and search queries. By default, these will:
- Make everything lowercase
- Remove punctuation
- Remove stop words
A process consists of different functions that process a string and modify it in some way, and return the transformed string.
You can easily modify the processors as they are available in Trie.config.processors
, for example:
Trie.config.processors = []
Trie.config.processors.push(function(str) {
return str.replace(/\./g, '')
})
All functions will be executed in the order of the array (0-n) and they will be used on each document in the data.
The stop words can be configured to include any words you like, and you can access the array of stop words by using:
Trie.config.stopWords = []
The punctuation regular expression used to remove punctuation can be configured with:
Trie.config.punctuationRE = /[.!]/g
License
Licensed under the MIT License
Copyright (c) Meta l.szabatura@gmail.com