mdeora / fastpriorityqueue.js

a fast heap-based priority queue in JavaScript

FastPriorityQueue.js : a fast heap-based priority queue in JavaScript

A heap can be used to implement a priority queue. At all times, you can insert elements quickly in a heap, and query the smallest element. You remove (poll) the smallest element quickly as well.

FastPriorityQueue is an attempt to implement a performance-oriented priority queue in JavaScript. It can be several times faster than other similar libraries. It is ideal when performance matters.

License: Apache License 2.0

Usage

var x = new FastPriorityQueue();
x.add(1);
x.add(0);
x.add(5);
x.add(4);
x.add(3);
x.peek(); // should return 0, leaves x unchanged
x.size; // should return 5, leaves x unchanged
while(!x.isEmpty()) {
  console.log(x.poll());
} // will print 0 1 3 4 5
x.trim(); // (optional) optimizes memory usage

You can also provide the constructor with a comparator function.

var x = new FastPriorityQueue(function(a,b) {return a > b});
x.add(1);
x.add(0);
x.add(5);
x.add(4);
x.add(3);
while(!x.isEmpty()) {
  console.log(x.poll());
} // will print 5 4 3 1 0 

If you are using node.js, you need to import the module:

var FastPriorityQueue = require("fastpriorityqueue");
var b = new FastPriorityQueue();// initially empty
b.add(1);// add the value "1"

npm install

  $ npm install fastpriorityqueue

Computational complexity

The function calls "add" and "poll" have logarithmic complexity with respect to the size of the data structure (attribute size). Looking at the top value is a constant time operation.

Testing

Using node.js (npm), you can test the code as follows...

  $ npm install mocha
  $ npm test

Is it faster?

It tends to fare well against the competition. In some tests, it can be five times faster than any other JavaScript implementation we could find.

$ node test.js
Platform: linux 4.4.0-38-generic x64
Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz
Node version 4.5.0, v8 version 4.5.103.37

Comparing against:
js-priority-queue: https://github.com/adamhooper/js-priority-queue 0.1.5
heap.js: https://github.com/qiao/heap.js 0.2.6
binaryheapx: https://github.com/xudafeng/BinaryHeap 0.1.1
priority_queue: https://github.com/agnat/js_priority_queue 0.1.3
js-heap: https://github.com/thauburger/js-heap 0.3.1
queue-priority: https://github.com/augustohp/Priority-Queue-NodeJS 1.0.0
priorityqueuejs: https://github.com/janogonzalez/priorityqueuejs 1.0.0
qheap: https://github.com/andrasq/node-qheap 1.3.0
yabh: https://github.com/jmdobry/yabh 1.2.0

starting dynamic queue/enqueue benchmark
FastPriorityQueue x 36,813 ops/sec ±0.15% (98 runs sampled)
js-priority-queue x 5,374 ops/sec ±0.29% (97 runs sampled)
heap.js x 7,525 ops/sec ±0.21% (94 runs sampled)
binaryheapx x 4,741 ops/sec ±0.19% (98 runs sampled)
priority_queue x 3,657 ops/sec ±2.37% (92 runs sampled)
js-heap x 271 ops/sec ±0.35% (90 runs sampled)
queue-priority x 455 ops/sec ±0.44% (90 runs sampled)
priorityqueuejs x 7,012 ops/sec ±0.14% (75 runs sampled)
qheap x 36,289 ops/sec ±0.33% (97 runs sampled)
yabh x 3,975 ops/sec ±3.57% (76 runs sampled)
Fastest is FastPriorityQueue

Note that qheap has been updated following the introduction of FastPriorityQueue, with a reference to FastPriorityQueue which might explains the fact that its performance is comparable to FastPriorityQueue.

Insertion order

A binary heap does not keep track of the insertion order.

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