A Trie is a data structure designed for quick reTRIEval of objects by string search. This was designed for use with a type-ahead search (e.g. like a dropdown) but could be used in a variety of situations.
This data structure indexes sentences/words to objects for searching by full or partial matches. So you can map 'hello' to an Object, and then search by 'hel', 'hell', or 'hello' and get the Object or an Array of all objects that match.
By default, sentences/words are split along whitespace boundaries. For example, if your inserted mapping is
'the quick brown fox', this object will be searchable by 'the', 'quick', 'brown', or 'fox' or any of their partials like
'qui' or 'qu' or 'fo'. Boundaries can be customized using the splitOnRegEx option explained in Setup below.
By default, the trie-search is now internationalized for a common set of vowels. So if you insert 'ö', then searching on 'o' will
return that result. You can customize this by providing your own expandRegexes object.
npm i --save trie-search
yarn add trie-search
import TrieSearch from 'trie-search';
type MyType = {
someKey : string
someOtherKeyNotToBeSearched : number
};
const trie : TrieSearch<MyType> = new TrieSearch<MyType>('someKey');
const item1 : MyType = { someKey : 'hello world', someOtherKeyNotToBeSearched : 1 };
const item2 : MyType = { someKey : 'hello, I like trains', someOtherKeyNotToBeSearched : 1 };
trie.add(item1);
trie.add(item2);
trie.search('he'); // [item1, item2]
trie.search('her'); // []
trie.search('hel'); // [item1, item2]
trie.search('hello trains'); // [item2]
import TrieSearch from 'trie-search';
const trie = new TrieSearch();
trie.map('hello', 'world'); // Map 'hello' to the String 'world'
trie.map('here', 'is a trie search'); // Map 'here' to the String 'is a trie search'
trie.search('he'); // ['world', 'is a trie search]
trie.search('her'); // ['is a trie search]
trie.search('hel'); // ['world']
trie.search('hello'); // ['world']
var TrieSearch = require('trie-search');
var trie = new TrieSearch();
trie.map('hello', 'world'); // Map 'hello' to the String 'world'
trie.map('here', 'is a trie search'); // Map 'here' to the String 'is a trie search'
trie.search('he'); // ['world', 'is a trie search]
trie.search('her'); // ['is a trie search]
trie.search('hel'); // ['world']
trie.search('hello'); // ['world']
Note: I have added the search(str) function that functions identically to the old get(str) function. The get(str) function
remains and can still be used.
new TrieSearch(keyFields, options)
keyFields: a single string or an array of strings/arrays representing what fields on added objects are to be used as keys for the
trie search.
options: settings to provide to the TrieSearch:
{
min: 1, // Minimum length of a key to store and search. By default this is 1,
// but you might improve performance by using 2 or 3
ignoreCase: true, // Self-explanatory
indexField: undefined, // Defaults to undefined. If specified, determines which
// rows are unique when using search().
idFieldOrFunction: undefined, // Honestly, this conflicts a bit with indexField. I need to fix that. This is only used
// when using the UNION_REDUCER, explained in the Examples
splitOnRegEx: /\s/g // Regular expression to split all keys into tokens.
// By default this is any whitespace. Set to 'false' if you have
// whitespace in your keys! Set it something else to split along other boundaries.
expandRegexes: [...] // By default is an array of international vowels expansions, allowing
// searches for vowels like 'a' to return matches on 'å' or 'ä' etc.
// Set this to an empty array (`[]`) if you want to disable it. Dee top of src/TrieSearch.js
// file for examples.
}
You can test performance yourself using the node performance.js process included in the package. Testing on my 2015 Mac Pro with 2.5 GHZ
I get these results:
English Dictionary loaded from JSON. Word count: 86036
Memory before index: 55.73046875 MB
Dictionary inserted and indexed into TrieSearch in 484 ms.
Trie Node Count: 280206
Trie Memory Used: 34.78515625 MB
Retrieved "a" items ( 6125 ) in 25 ms.
Retrieved "andr" items ( 17 ) in 5 ms.
Retrieved "android" items ( 1 ) in 0 ms.
Note that retrieving longer words takes less time because it has to return fewer results.
Essentially, the Trie is like a single hashmap of keys to one or more value objects. You can add any number of keys mapping to any number of objects. A key can map to many objects (for example the word 'Josh' might map to many user objects) and many keys can map to the same object (for example 'Josh' and 'Jung' might map to the same user object). When retrieving (get('hello')) by an input string, the Trie returns an Array of all objects that have keys that begin with the entered key (e.g. 'hello').
Internally the Trie creates a tree of hashmaps for efficiency. Each hashmap is either a map between a single character in the added keys and an array of matching objects (for a leaf node) or another hashmap that is the next character in all available keys or the hash does not contain the character (no keys exist that match the requested string). This complexity is managed for you.
When you request all items in the Trie that contain a string via the get(str) method the Trie concatenates all the leaf node arrays for the entire tree starting at the deepest node for the entered string, eliminates duplicates, and returns that Array. Or it returns nothing if the string does not exist in any entered keys.
For more information on how a Trie works, see Wikipedia Trie
All key values are converted to a Javascript String object via the .toString() method before inserted as keys into the Trie structure.
So the words/sentences '1234' and 1234 are functionally equivalent. This is useful if you want to implement your own
toString() method on a complex type and map() from that to another object.
Inserted value objects are left untouched and can be anything.
For example: ts.map(123, new Date()) will map (123).toString() to a new Date object so effectively this will map the String '123' to the Date.
import TrieSearch from 'trie-search';
const peopleByName = {
'andrew': { age: 21 },
'andy': { age: 37 },
'andrea': { age: 25 },
'annette': { age: 67 },
};
const trie = new TrieSearch();
trie.addFromObject(peopleByName);
trie.search('a'); // Returns all 4 items above.
trie.search('an'); // Returns all 4 items above.
trie.search('and'); // Returns all 3 items above that begin with 'and'
trie.search('andr'); // Returns all 2 items above that begin with 'andr'
trie.search('andre'); // Returns all 2 items above that begin with 'andr'
trie.search('andrew'); // Returns only andrew.
import TrieSearch from 'trie-search';
const people = [
{ name: 'andrew', age: 21 },
{ name: 'andy', age: 37 },
{ name: 'andrea', age: 25 },
{ name: 'annette', age: 67 }
];
const trie = new TrieSearch('name');
trie.addAll(people);
trie.search('a'); // Returns all 4 items above.
trie.search('an'); // Returns all 4 items above.
trie.search('and'); // Returns all 3 items above that begin with 'and'
trie.search('andr'); // Returns the 2 items above that begin with 'andr'
trie.search('andre'); // Returns the 2 items above that begin with 'andr'
trie.search('andrew'); // Returns only andrew.
import TrieSearch from 'trie-search';
const tasks = [
{ name: 'Start project', description: 'Need to get this thing off the ground!' },
{ name: 'Setup Drag/Drop', description: 'Need to be able to drag / drop things around' },
{ name: 'Talk to Andreas (need advice)', description: '' }
];
const trie = new TrieSearch('name', {
splitOnRegEx: /[\s\/\(\)]/ // Split on '/' and '(' and ')' and whitespace
});
trie.addAll(tasks);
trie.search('Drag'); // Returns 'Setup Drag/Drop'
trie.search('Drop'); // Returns 'Setup Drag/Drop'
trie.search('need'); // Returns 'Talk to Andreas (need advice)'
Sometimes you might have a nested Object structure. In that case, you might want to map the parent object based on the contents of one of its child objects.
Note: this does not work if the item at the key is an array. You will need to manually add those items using
the map() function. See Deep Array Mapping below for how to do that.
import TrieSearch from 'trie-search';
const people = [
{ name: 'andrew', details: { age: 21 } },
{ name: 'andy', details: { age: 37 } },
{ name: 'andrea', details: { age: 25 } },
{ name: 'annette', details: { age: 67 } }
];
const trie = new TrieSearch([
'name', // Searches `object.name`
['details', 'age'] // Searches `object.details.age`
]);
trie.addAll(people);
trie.search('21'); // Returns 'andrew' which has details.age of 21
If you have an object that has a child that is an array, you might want to add that object's children. In that case, right now you have to manually do that.
const TrieSearch = require('trie-search');
const people = [
{ name: 'andrew', tags: ['fishing'] },
{ name: 'andy', tags: ['hunting', 'poetry', 'cattle herding'] },
{ name: 'andrea', tags: [] },
{ name: 'annette', tags: ['poetry', 'laser tag'] }
];
const trie = new TrieSearch(['name']);
trie.addAll(people); // This will NOT add the tags, just the name
// Manually add the tags, one by one, using map
people.forEach(person => {
person.tags.forEach(tag => {
trie.map(tag, person);
});
});
ts.search('fish'); // Returns 'andrew' which has 'fishing' as a tag
Specify a minimum search length before results are returned. Keeps the Trie a little faster. Although honestly, the thing is so fast you probably won't need this until you get above 50,000 items or so.
import TrieSearch from 'trie-search';
const people = [
{ name: 'andrew', age: 21 },
{ name: 'andy', age: 37 },
{ name: 'andrea', age: 25 },
{ name: 'annette', age: 67 }
];
const trie = new TrieSearch('name', {min: 3});
trie.addAll(people);
trie.search('a'); // Returns empty array, too short a search (< 3 minimum chars)
trie.search('an'); // Returns empty array, too short a search
trie.search('and'); // Returns all 3 items above that begin with 'and'
trie.search('andr'); // Returns the 2 items above that begin with 'andr'
trie.search('andre'); // Returns the 2 items above that begin with 'andr'
trie.search('andrew'); // Returns only andrew.
By default, the HashArray object (which TrieSearch uses) does not verify object uniqueness by the object itself, but instead by an index
field (like an id field) on that object.
As a result, in order for search() to be used with multiple words, it is important that a field is used to identify each record in the
TrieSearch, similar to a index in a database. If we do not specify this, a search on multiple words could return the object more than once.
You can specify this using the indexField option:
import TrieSearch from 'trie-search';
const people = [
{ ix: 1, name: 'andrew', location: 'sweden', age: 21 },
{ ix: 2, name: 'andrew', location: 'brussels', age: 37 },
{ ix: 3, name: 'andrew', location: 'johnsonville', age: 25 }
];
const trie = new TrieSearch('name', { min: 3, indexField: 'ix' });
trie.addAll(people);
trie.search('andrew'); // Returns all items
trie.search('andrew sweden'); // Returns only the andrew who is in sweden, and only once, even though it matches both 'andrew' and 'sweden'.
import TrieSearch from 'trie-search';
const people = [
{ name: 'andrew', age: 21, zip: 60600 },
{ name: 'andy', age: 37, zip: 60601 },
{ name: 'andrea', age: 25, zip: 60602 },
{ name: 'joseph', age: 67, zip: 60603 }
];
const trie = new TrieSearch(['name', 'age', 'zip']);
trie.addAll(people);
trie.search('andre'); // Returns andrew AND andrea.
trie.search(['andre', '25']); // Returns andrew AND andrea
trie.search(['andre', 'jos']); // Returns andrew AND joseph
trie.search(['21', '67']); // Returns andrew AND joseph
trie.search(['21', '60603']); // Returns andrew AND joseph
import TrieSearch from 'trie-search';
const people = [
{ name: 'andrew', age: 21, zip: 60600, id: 1 }, // person1
{ name: 'andrew', age: 37, zip: 60601, id: 2 }, // person2
{ name: 'andrew', age: 25, zip: 60602, id: 3 }, // person3
{ name: 'andrew', age: 37, zip: 60603, id: 4 } // person4
];
const trie = new TrieSearch(['name', 'age', 'zip'], {
idFieldOrFunction: 'id' // Required to uniquely identify during union (AND)
});
trie.addAll(people);
trie.search(['andrew', '25'], TrieSearch.UNION_REDUCER); // [person3]
trie.search(['andrew', '50'], TrieSearch.UNION_REDUCER); // []
trie.search(['andrew', '37'], TrieSearch.UNION_REDUCER); // [person2, person4]
$ npm i -g jest
$ npm test
Test Suites: 1 passed, 1 total
Tests: 81 passed, 81 total
Snapshots: 0 total
Time: 1.754 s
Feel free to fork and make changes or submit a Pull Request :) I'm pretty busy but will eventually get around to getting your changes published.
The MIT License (MIT)
Copyright (c) 2021 Joshua Jung
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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