elegant-queue
v1.0.7
Published
To address this inefficiency when processing large amounts of data, designing a queue with O(1) time complexity can solve many problems.
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elegant-queue
Overview
In JavaScript and TypeScript, arrays are often used to implement queues. The built-in shift()
method removes the element at the zeroth index and shifts the remaining elements down, which has O(n) time complexity due to the re-indexing required.
Why Circular Buffers?
To optimize queue operations, especially with large datasets, a circular buffer is a highly effective solution. It allows both enqueue
and dequeue
operations to be performed in O(1) time complexity by managing elements in a fixed-size array with wrapping pointers.
Key Benefits:
- Memory Efficiency: A circular buffer uses a fixed-size array and wraps around, eliminating the need for continuous resizing and minimizing memory overhead.
- Consistent O(1) Performance: Operations remain constant time, avoiding the performance pitfalls of array resizing and shifting.
- Avoids Memory Fragmentation: Efficient memory use and reduced risk of fragmentation, even with dynamic queue sizes.
📚 Getting Started
elegant-queue
supports both CommonJS and ES Modules.
CommonJS
const { Queue } = require("elegant-queue");
ES Modules
import { Queue } from "elegant-queue";
🔎 Explore features
constructor(arraySize: number)
arraySize: number
(optional): This parameter defines the size of each internal array block within the linked nodes of the queue. It specifies how many elements each node in the queue can hold. By default, this value is set to 4096 if no argument is provided.
enqueue(value: T)
This method adds a new element to the end of the queue.
dequeue()
This method removes and returns the element at the front of the queue. If the queue is empty, it throws a EmptyQueueException
.
peek()
This method returns the element at the front of the queue without removing it. If the queue is empty, it throws a EmptyQueueException
.
clear()
This method clears all elements from the queue.(effectively resetting the queue to its initial state.)
size()
This method returns the number of elements currently in the queue.
isEmpty()
This method checks if the queue is empty. It returns true
if _head
is equal to _tail
(indicating no elements are present), and false
otherwise.
🌈 Examples
Usage Example
import { Queue } from "elegant-queue";
const queue = new Queue([1, 2, 3, 4, 5]);
queue.enqueue(6); // [1, 2, 3, 4, 5, 6]
const item = queue.dequeue();
console.log(item); // 1
console.log(queue); // [2, 3, 4, 5, 6]
Exception Handling Example
import { Queue, EmptyQueueException } from "elegant-queue";
try {
const item = queue.dequeue(); // Attempt to remove the item from the queue.
console.log('Dequeued item:', item);
} catch (error) {
if (error instanceof EmptyQueueException) {
console.error('Queue is empty. Cannot dequeue an item.');
} else {
console.error('An unexpected error occurred:', error);
}
}
⚡️ Performance (1 million numbers)
The following benchmarks compare elegant-queue with a standard array-based queue.
Array Queue performance:
console.time('ArrayQueue Enqueue Time');
const numbers: Array<number> = [];
for (let i = 0; i < LARGE_DATA_SIZE; i++) {
arrayQueue.push(i);
}
console.timeEnd('ArrayQueue Enqueue Time');
console.time('ArrayQueue Dequeue Time');
while (arrayQueue.length > 0) {
arrayQueue.shift();
}
console.timeEnd('ArrayQueue Dequeue Time');
Array Queue performance result:
console.time
ArrayQueue Dequeue Time: 109907 ms
Elegant Queue performance:
console.time('ElegantQueue Enqueue Time');
const numbers = new Array<number>();
for (let i = 0; i < LARGE_DATA_SIZE; i++) {
numbers.push(i);
}
const elegantQueue = new Queue(numbers);
console.timeEnd('ElegantQueue Enqueue Time');
console.time('ElegantQueue Dequeue Time');
while (elegantQueue.size() > 0) {
elegantQueue.dequeue();
}
console.timeEnd('ElegantQueue Dequeue Time');
Elegant Queue performance result:
console.time
ElegantQueue Dequeue Time: 5 ms
Note: The shift()
method in arrays has O(n) time complexity due to the need to re-index elements after removal. In contrast, elegant-queue
provides O(1) time complexity for both enqueue and dequeue operations by utilizing a circular buffer design, making it significantly faster for large datasets.