triever

1.0.5 • Public • Published

triever

A library for quick insert and retrieval

triever is a compact, dependency-free library that allows for quick insertion and retrieval of values, keyed by prefix strings.

Examples

const Trie = require("triever");

const testData = [
    {
      id: 0,
      name: "dog"
    },
    {
      id: 1,
      name: "doge"
    },
    {
      id: 2,
      name: "duck"
    },
    {
      id: 3,
      name: "book"
    },
    {
      id: 4,
      name: "shelf"
    },
    {
      id: 5,
      name: "bookshelf"
    },
    {
      id: 6,
      name: "water"
    },
    {
      id: 7,
      name: "delightful"
    }
  ];

const testTrie = new Trie();
testData.forEach(x => testTrie.add(x.name, x));

const bookEntries = testTrie.getData("book");
console.log(bookEntries); // prints #3, #5

API

const trie = new Trie()

Creates a new Trie with no data.

trie.add(key, value)

Adds the value to the listing stored at location key. key must be a string.

trie.getNode(key)

Gets the node at location key in the tree. key must be a string. Returns null if no nodes exist at that location. Useful for storing / caching partial parts of the tree in your application (ie, for livesearching).

trie.getData(key)

Gets an array of entries that have keys starting with the key prefix. Returns null if the key does not exist.

Installation

From NPM

npm install triever

And in your file:

const Trie = require("triever");

const trie = new Trie();
trie.add("key", { value: 1 });

In your browser

Adding a script reference to the file /dist/triever.min.js to your page will expose a global variable of Trie:

const trie = new Trie();
trie.add("key", { value: 1 });

What's the name?

Naturally, triever is named after the trie data structure (also known as a radix tree, prefix tree, digital tree); however, equally important, it is named in honor of one of the best dog breeds in the world: the Labrador Retriever.

Package Sidebar

Install

npm i triever

Weekly Downloads

1

Version

1.0.5

License

MIT

Unpacked Size

8.36 MB

Total Files

13

Last publish

Collaborators

  • xueye