# yocto-queue [](https://bundlephobia.com/result?p=yocto-queue) | |
> Tiny queue data structure | |
You should use this package instead of an array if you do a lot of `Array#push()` and `Array#shift()` on large arrays, since `Array#shift()` has [linear time complexity](https://medium.com/@ariel.salem1989/an-easy-to-use-guide-to-big-o-time-complexity-5dcf4be8a444#:~:text=O(N)%E2%80%94Linear%20Time) *O(n)* while `Queue#dequeue()` has [constant time complexity](https://medium.com/@ariel.salem1989/an-easy-to-use-guide-to-big-o-time-complexity-5dcf4be8a444#:~:text=O(1)%20%E2%80%94%20Constant%20Time) *O(1)*. That makes a huge difference for large arrays. | |
> A [queue](https://en.wikipedia.org/wiki/Queue_(abstract_data_type)) is an ordered list of elements where an element is inserted at the end of the queue and is removed from the front of the queue. A queue works based on the first-in, first-out ([FIFO](https://en.wikipedia.org/wiki/FIFO_(computing_and_electronics))) principle. | |
## Install | |
``` | |
$ npm install yocto-queue | |
``` | |
## Usage | |
```js | |
const Queue = require('yocto-queue'); | |
const queue = new Queue(); | |
queue.enqueue('🦄'); | |
queue.enqueue('🌈'); | |
console.log(queue.size); | |
//=> 2 | |
console.log(...queue); | |
//=> '🦄 🌈' | |
console.log(queue.dequeue()); | |
//=> '🦄' | |
console.log(queue.dequeue()); | |
//=> '🌈' | |
``` | |
## API | |
### `queue = new Queue()` | |
The instance is an [`Iterable`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols), which means you can iterate over the queue front to back with a “for…of” loop, or use spreading to convert the queue to an array. Don't do this unless you really need to though, since it's slow. | |
#### `.enqueue(value)` | |
Add a value to the queue. | |
#### `.dequeue()` | |
Remove the next value in the queue. | |
Returns the removed value or `undefined` if the queue is empty. | |
#### `.clear()` | |
Clear the queue. | |
#### `.size` | |
The size of the queue. | |
## Related | |
- [quick-lru](https://github.com/sindresorhus/quick-lru) - Simple “Least Recently Used” (LRU) cache | |