var stack = [];
stack.push(2);       // stack is now [2]
stack.push(5);       // stack is now [2, 5]
var i = stack.pop(); // stack is now [2]
alert(i);            // displays 5

var queue = [];
queue.push(2);         // queue is now [2]
queue.push(5);         // queue is now [2, 5]
var i = queue.shift(); // queue is now [5]
alert(i);              // displays 2

摘自“9个你可能不知道的JavaScript技巧”

数组。

栈:

var stack = [];

//put value on top of stack
stack.push(1);

//remove value from top of stack
var value = stack.pop();

队列:

var queue = [];

//put value on end of queue
queue.push(1);

//Take first value from queue
var value = queue.shift();

Javascript中的常规数组结构是一个堆栈(先入后出)，也可以用作队列(先入先出)，这取决于你所做的调用。

检查这个链接，看看如何让一个数组像一个队列:

队列

Javascript有push和pop方法，它们操作在普通的Javascript数组对象上。

关于排队，请看这里:

http://safalra.com/web-design/javascript/queues/

Queues can be implemented in JavaScript using either the push and shift methods or unshift and pop methods of the array object. Although this is a simple way to implement queues, it is very inefficient for large queues — because of the methods operate on arrays, the shift and unshift methods move every element in the array each time they are called. Queue.js is a simple and efficient queue implementation for JavaScript whose dequeue function runs in amortized constant time. As a result, for larger queues, it can be significantly faster than using arrays.

Create a pair of classes that provide the various methods that each of these data structures has (push, pop, peek, etc). Now implement the methods. If you're familiar with the concepts behind stack/queue, this should be pretty straightforward. You can implement the stack with an array, and a queue with a linked list, although there are certainly other ways to go about it. Javascript will make this easy, because it is weakly typed, so you don't even have to worry about generic types, which you'd have to do if you were implementing it in Java or C#.

或者可以使用两个数组来实现队列数据结构。

var temp_stack = new Array();
var stack = new Array();

temp_stack.push(1);
temp_stack.push(2);
temp_stack.push(3);

如果我现在弹出元素，那么输出将是3 2 1。 但我们想先进先出结构，所以你可以做以下。

stack.push(temp_stack.pop());
stack.push(temp_stack.pop());
stack.push(temp_stack.pop());

stack.pop(); //Pop out 1
stack.pop(); //Pop out 2
stack.pop(); //Pop out 3

你可以基于这个概念使用你自己的自定义类，这里是你可以用来做这些事情的代码片段

/*
*   Stack implementation in JavaScript
*/



function Stack() {
  this.top = null;
  this.count = 0;

  this.getCount = function() {
    return this.count;
  }

  this.getTop = function() {
    return this.top;
  }

  this.push = function(data) {
    var node = {
      data: data,
      next: null
    }

    node.next = this.top;
    this.top = node;

    this.count++;
  }

  this.peek = function() {
    if (this.top === null) {
      return null;
    } else {
      return this.top.data;
    }
  }

  this.pop = function() {
    if (this.top === null) {
      return null;
    } else {
      var out = this.top;
      this.top = this.top.next;
      if (this.count > 0) {
        this.count--;
      }

      return out.data;
    }
  }

  this.displayAll = function() {
    if (this.top === null) {
      return null;
    } else {
      var arr = new Array();

      var current = this.top;
      //console.log(current);
      for (var i = 0; i < this.count; i++) {
        arr[i] = current.data;
        current = current.next;
      }

      return arr;
    }
  }
}

要检查这一点，请使用控制台，并逐一尝试这些行。

>> var st = new Stack();

>> st.push("BP");

>> st.push("NK");

>> st.getTop();

>> st.getCount();

>> st.displayAll();

>> st.pop();

>> st.displayAll();

>> st.getTop();

>> st.peek();

没有数组(年代)

//Javascript stack linked list data structure (no array)

function node(value, noderef) {
    this.value = value;
    this.next = noderef;
}
function stack() {
    this.push = function (value) {
        this.next = this.first;
        this.first = new node(value, this.next);
    }
    this.pop = function () {
        var popvalue = this.first.value;
        this.first = this.first.next;
        return popvalue;
    }
    this.hasnext = function () {
        return this.next != undefined;
    }
    this.isempty = function () {
        return this.first == undefined;
    }

}

//Javascript stack linked list data structure (no array)
function node(value, noderef) {
    this.value = value;
    this.next = undefined;
}
function queue() {
    this.enqueue = function (value) {
        this.oldlast = this.last;
        this.last = new node(value);
        if (this.isempty())
            this.first = this.last;
        else 
           this.oldlast.next = this.last;
    }
    this.dequeue = function () {
        var queuvalue = this.first.value;
        this.first = this.first.next;
        return queuvalue;
    }
    this.hasnext = function () {
        return this.first.next != undefined;
    }
    this.isempty = function () {
        return this.first == undefined;
    }

}

如果你理解栈的push()和pop()函数，那么queue只是在相反的意义上进行这些操作之一。push()的对边是unshift()， pop()的对边是shift()。 然后:

//classic stack
var stack = [];
stack.push("first"); // push inserts at the end
stack.push("second");
stack.push("last");
stack.pop(); //pop takes the "last" element

//One way to implement queue is to insert elements in the oposite sense than a stack
var queue = [];
queue.unshift("first"); //unshift inserts at the beginning
queue.unshift("second");
queue.unshift("last");
queue.pop(); //"first"

//other way to do queues is to take the elements in the oposite sense than stack
var queue = [];
queue.push("first"); //push, as in the stack inserts at the end
queue.push("second");
queue.push("last");
queue.shift(); //but shift takes the "first" element

如果你想创建自己的数据结构，你可以创建自己的:

var Stack = function(){
  this.top = null;
  this.size = 0;
};

var Node = function(data){
  this.data = data;
  this.previous = null;
};

Stack.prototype.push = function(data) {
  var node = new Node(data);

  node.previous = this.top;
  this.top = node;
  this.size += 1;
  return this.top;
};

Stack.prototype.pop = function() {
  temp = this.top;
  this.top = this.top.previous;
  this.size -= 1;
  return temp;
};

对于队列:

var Queue = function() {
  this.first = null;
  this.size = 0;
};

var Node = function(data) {
  this.data = data;
  this.next = null;
};

Queue.prototype.enqueue = function(data) {
  var node = new Node(data);

  if (!this.first){
    this.first = node;
  } else {
    n = this.first;
    while (n.next) {
      n = n.next;
    }
    n.next = node;
  }

  this.size += 1;
  return node;
};

Queue.prototype.dequeue = function() {
  temp = this.first;
  this.first = this.first.next;
  this.size -= 1;
  return temp;
};

Javascript数组shift()很慢，特别是当包含很多元素时。我知道两种方法来实现平摊O(1)复杂度的队列。

首先是使用循环缓冲区和表加倍。我以前实现过这个。你可以在这里看到我的源代码 https://github.com/kevyuu/rapid-queue

第二种方法是使用两个堆栈。这是带有两个堆栈的队列的代码

function createDoubleStackQueue() {
var that = {};
var pushContainer = [];
var popContainer = [];

function moveElementToPopContainer() {
    while (pushContainer.length !==0 ) {
        var element = pushContainer.pop();
        popContainer.push(element);
    }
}

that.push = function(element) {
    pushContainer.push(element);
};

that.shift = function() {
    if (popContainer.length === 0) {
        moveElementToPopContainer();
    }
    if (popContainer.length === 0) {
        return null;
    } else {
        return popContainer.pop();
    }
};

that.front = function() {
    if (popContainer.length === 0) {
        moveElementToPopContainer();
    }
    if (popContainer.length === 0) {
        return null;
    }
    return popContainer[popContainer.length - 1];
};

that.length = function() {
    return pushContainer.length + popContainer.length;
};

that.isEmpty = function() {
    return (pushContainer.length + popContainer.length) === 0;
};

return that;}

这是使用jsPerf进行的性能比较

CircularQueue.shift() vs Array.shift()

http://jsperf.com/rapidqueue-shift-vs-array-shift

正如你所看到的，大数据集的速度要快得多

下面是我使用链表实现的堆栈和队列:

// Linked List function Node(data) { this.data = data; this.next = null; } // Stack implemented using LinkedList function Stack() { this.top = null; } Stack.prototype.push = function(data) { var newNode = new Node(data); newNode.next = this.top; //Special attention this.top = newNode; } Stack.prototype.pop = function() { if (this.top !== null) { var topItem = this.top.data; this.top = this.top.next; return topItem; } return null; } Stack.prototype.print = function() { var curr = this.top; while (curr) { console.log(curr.data); curr = curr.next; } } // var stack = new Stack(); // stack.push(3); // stack.push(5); // stack.push(7); // stack.print(); // Queue implemented using LinkedList function Queue() { this.head = null; this.tail = null; } Queue.prototype.enqueue = function(data) { var newNode = new Node(data); if (this.head === null) { this.head = newNode; this.tail = newNode; } else { this.tail.next = newNode; this.tail = newNode; } } Queue.prototype.dequeue = function() { var newNode; if (this.head !== null) { newNode = this.head.data; this.head = this.head.next; } return newNode; } Queue.prototype.print = function() { var curr = this.head; while (curr) { console.log(curr.data); curr = curr.next; } } var queue = new Queue(); queue.enqueue(3); queue.enqueue(5); queue.enqueue(7); queue.print(); queue.dequeue(); queue.dequeue(); queue.print();

/*------------------------------------------------------------------ 
 Defining Stack Operations using Closures in Javascript, privacy and
 state of stack operations are maintained

 @author:Arijt Basu
 Log: Sun Dec 27, 2015, 3:25PM
 ------------------------------------------------------------------- 
 */
var stackControl = true;
var stack = (function(array) {
        array = [];
        //--Define the max size of the stack
        var MAX_SIZE = 5;

        function isEmpty() {
            if (array.length < 1) console.log("Stack is empty");
        };
        isEmpty();

        return {

            push: function(ele) {
                if (array.length < MAX_SIZE) {
                    array.push(ele)
                    return array;
                } else {
                    console.log("Stack Overflow")
                }
            },
            pop: function() {
                if (array.length > 1) {
                    array.pop();
                    return array;
                } else {
                    console.log("Stack Underflow");
                }
            }

        }
    })()
    // var list = 5;
    // console.log(stack(list))
if (stackControl) {
    console.log(stack.pop());
    console.log(stack.push(3));
    console.log(stack.push(2));
    console.log(stack.pop());
    console.log(stack.push(1));
    console.log(stack.pop());
    console.log(stack.push(38));
    console.log(stack.push(22));
    console.log(stack.pop());
    console.log(stack.pop());
    console.log(stack.push(6));
    console.log(stack.pop());
}
//End of STACK Logic

/* Defining Queue operations*/

var queue = (function(array) {
    array = [];
    var reversearray;
    //--Define the max size of the stack
    var MAX_SIZE = 5;

    function isEmpty() {
        if (array.length < 1) console.log("Queue is empty");
    };
    isEmpty();

    return {
        insert: function(ele) {
            if (array.length < MAX_SIZE) {
                array.push(ele)
                reversearray = array.reverse();
                return reversearray;
            } else {
                console.log("Queue Overflow")
            }
        },
        delete: function() {
            if (array.length > 1) {
                //reversearray = array.reverse();
                array.pop();
                return array;
            } else {
                console.log("Queue Underflow");
            }
        }
    }



})()

console.log(queue.insert(5))
console.log(queue.insert(3))
console.log(queue.delete(3))

下面是一个相当简单的队列实现，有两个目标:

与array.shift()不同，您知道这个出队列方法需要常数时间(O(1))。 为了提高速度，这种方法使用的分配比链表方法少得多。

堆栈实现只共享第二个目标。

// Queue
function Queue() {
        this.q = new Array(5);
        this.first = 0;
        this.size = 0;
}
Queue.prototype.enqueue = function(a) {
        var other;
        if (this.size == this.q.length) {
                other = new Array(this.size*2);
                for (var i = 0; i < this.size; i++) {
                        other[i] = this.q[(this.first+i)%this.size];
                }
                this.first = 0;
                this.q = other;
        }
        this.q[(this.first+this.size)%this.q.length] = a;
        this.size++;
};
Queue.prototype.dequeue = function() {
        if (this.size == 0) return undefined;
        this.size--;
        var ret = this.q[this.first];
        this.first = (this.first+1)%this.q.length;
        return ret;
};
Queue.prototype.peek = function() { return this.size > 0 ? this.q[this.first] : undefined; };
Queue.prototype.isEmpty = function() { return this.size == 0; };

// Stack
function Stack() {
        this.s = new Array(5);
        this.size = 0;
}
Stack.prototype.push = function(a) {
        var other;
    if (this.size == this.s.length) {
            other = new Array(this.s.length*2);
            for (var i = 0; i < this.s.length; i++) other[i] = this.s[i];
            this.s = other;
    }
    this.s[this.size++] = a;
};
Stack.prototype.pop = function() {
        if (this.size == 0) return undefined;
        return this.s[--this.size];
};
Stack.prototype.peek = function() { return this.size > 0 ? this.s[this.size-1] : undefined; };

下面是一个队列的链表版本，它也包括最后一个节点，这是@perkins建议的，也是最合适的。

// QUEUE Object Definition

var Queue = function() {
  this.first = null;
  this.last = null;
  this.size = 0;
};

var Node = function(data) {
  this.data = data;
  this.next = null;
};

Queue.prototype.enqueue = function(data) {
  var node = new Node(data);

  if (!this.first){ // for empty list first and last are the same
    this.first = node;
    this.last = node;
  } else { // otherwise we stick it on the end
    this.last.next=node;
    this.last=node;
  }

  this.size += 1;
  return node;
};

Queue.prototype.dequeue = function() {
  if (!this.first) //check for empty list
    return null;

  temp = this.first; // grab top of list
  if (this.first==this.last) {
    this.last=null;  // when we need to pop the last one
  }
  this.first = this.first.next; // move top of list down
  this.size -= 1;
  return temp;
};

  var x = 10; 
  var y = 11; 
  var Queue = new Array();
  Queue.unshift(x);
  Queue.unshift(y);

  console.log(Queue)
  // Output [11, 10]

  Queue.pop()
  console.log(Queue)
  // Output [11]

有很多方法可以在Javascript中实现堆栈和队列。上面的大多数答案都是非常肤浅的实现，我将尝试实现一些更可读(使用es6的新语法特性)和更健壮的东西。

下面是堆栈实现:

class Stack {
  constructor(...items){
    this._items = []

    if(items.length>0)
      items.forEach(item => this._items.push(item) )

  }

  push(...items){
    //push item to the stack
     items.forEach(item => this._items.push(item) )
     return this._items;

  }

  pop(count=0){
    //pull out the topmost item (last item) from stack
    if(count===0)
      return this._items.pop()
     else
       return this._items.splice( -count, count )
  }

  peek(){
    // see what's the last item in stack
    return this._items[this._items.length-1]
  }

  size(){
    //no. of items in stack
    return this._items.length
  }

  isEmpty(){
    // return whether the stack is empty or not
    return this._items.length==0
  }

  toArray(){
    return this._items;
  }
}

下面是如何使用堆栈:

let my_stack = new Stack(1,24,4);
// [1, 24, 4]
my_stack.push(23)
//[1, 24, 4, 23]
my_stack.push(1,2,342);
//[1, 24, 4, 23, 1, 2, 342]
my_stack.pop();
//[1, 24, 4, 23, 1, 2]
my_stack.pop(3)
//[1, 24, 4]
my_stack.isEmpty()
// false
my_stack.size();
//3

如果您想查看关于此实现的详细描述以及如何进一步改进，请阅读这里:http://jschap.com/data-structures-in-javascript-stack/

下面是es6中队列实现的代码:

class Queue{
 constructor(...items){
   //initialize the items in queue
   this._items = []
   // enqueuing the items passed to the constructor
   this.enqueue(...items)
 }

  enqueue(...items){
    //push items into the queue
    items.forEach( item => this._items.push(item) )
    return this._items;
  }

  dequeue(count=1){
    //pull out the first item from the queue
    this._items.splice(0,count);
    return this._items;
  }

  peek(){
    //peek at the first item from the queue
    return this._items[0]
  }

  size(){
    //get the length of queue
    return this._items.length
  }

  isEmpty(){
    //find whether the queue is empty or no
    return this._items.length===0
  }
}

下面是如何使用这个实现:

let my_queue = new Queue(1,24,4);
// [1, 24, 4]
my_queue.enqueue(23)
//[1, 24, 4, 23]
my_queue.enqueue(1,2,342);
//[1, 24, 4, 23, 1, 2, 342]
my_queue.dequeue();
//[24, 4, 23, 1, 2, 342]
my_queue.dequeue(3)
//[1, 2, 342]
my_queue.isEmpty()
// false
my_queue.size();
//3

要完整地了解如何实现这些数据结构以及如何进一步改进这些数据结构，您可能需要阅读jschap.com上的“在javascript中处理数据结构”系列。这是队列的链接——http://jschap.com/playing-data-structures-javascript-queues/

这是我的实现堆栈。

function Stack() {
this.dataStore = [];
this.top = 0;
this.push = push;
this.pop = pop;
this.peek = peek;
this.clear = clear;
this.length = length;
}
function push(element) {
this.dataStore[this.top++] = element;
}
function peek() {
return this.dataStore[this.top-1];
}
function pop() {
return this.dataStore[--this.top];
}
function clear() {
this.top = 0;
}
function length() {
return this.top;
}

var s = new Stack();
s.push("David");
s.push("Raymond");
s.push("Bryan");
console.log("length: " + s.length());
console.log(s.peek());

在我看来，内建数组对于堆栈来说是很好的。如果你想在TypeScript中使用Queue，这里有一个实现

/**
 * A Typescript implementation of a queue.
 */
export default class Queue {

  private queue = [];
  private offset = 0;

  constructor(array = []) {
    // Init the queue using the contents of the array
    for (const item of array) {
      this.enqueue(item);
    }
  }

  /**
   * @returns {number} the length of the queue.
   */
  public getLength(): number {
    return (this.queue.length - this.offset);
  }

  /**
   * @returns {boolean} true if the queue is empty, and false otherwise.
   */
  public isEmpty(): boolean {
    return (this.queue.length === 0);
  }

  /**
   * Enqueues the specified item.
   *
   * @param item - the item to enqueue
   */
  public enqueue(item) {
    this.queue.push(item);
  }

  /**
   *  Dequeues an item and returns it. If the queue is empty, the value
   * {@code null} is returned.
   *
   * @returns {any}
   */
  public dequeue(): any {
    // if the queue is empty, return immediately
    if (this.queue.length === 0) {
      return null;
    }

    // store the item at the front of the queue
    const item = this.queue[this.offset];

    // increment the offset and remove the free space if necessary
    if (++this.offset * 2 >= this.queue.length) {
      this.queue = this.queue.slice(this.offset);
      this.offset = 0;
    }

    // return the dequeued item
    return item;
  };

  /**
   * Returns the item at the front of the queue (without dequeuing it).
   * If the queue is empty then {@code null} is returned.
   *
   * @returns {any}
   */
  public peek(): any {
    return (this.queue.length > 0 ? this.queue[this.offset] : null);
  }

}

这里有一个笑话测试

it('Queue', () => {
  const queue = new Queue();
  expect(queue.getLength()).toBe(0);
  expect(queue.peek()).toBeNull();
  expect(queue.dequeue()).toBeNull();

  queue.enqueue(1);
  expect(queue.getLength()).toBe(1);
  queue.enqueue(2);
  expect(queue.getLength()).toBe(2);
  queue.enqueue(3);
  expect(queue.getLength()).toBe(3);

  expect(queue.peek()).toBe(1);
  expect(queue.getLength()).toBe(3);
  expect(queue.dequeue()).toBe(1);
  expect(queue.getLength()).toBe(2);

  expect(queue.peek()).toBe(2);
  expect(queue.getLength()).toBe(2);
  expect(queue.dequeue()).toBe(2);
  expect(queue.getLength()).toBe(1);

  expect(queue.peek()).toBe(3);
  expect(queue.getLength()).toBe(1);
  expect(queue.dequeue()).toBe(3);
  expect(queue.getLength()).toBe(0);

  expect(queue.peek()).toBeNull();
  expect(queue.dequeue()).toBeNull();
});

希望有人觉得这有用，

欢呼,

Stu

正如其他答案中解释的那样，堆栈实现是微不足道的。

然而，我在这个线程中没有找到任何满意的答案，所以我自己做了一个队列。

在这个线程中有三种类型的解决方案:

数组——在大型数组上使用array.shift()是最糟糕的解决方案，效率非常低。 链表——它是O(1)，但是为每个元素使用一个对象有点过分，特别是如果它们很多而且它们很小，比如存储数字。 延迟移位数组——它包括将索引与数组关联。当一个元素退出队列时，索引向前移动。当索引到达数组的中间时，数组被切成两半以删除前一半。

在我看来，延迟移位数组是最令人满意的解决方案，但它们仍然将所有内容存储在一个大的连续数组中，这可能会有问题，并且当数组被切片时，应用程序将错开。

我使用小数组的链表(每个最多1000个元素)实现。这些数组的行为类似于延迟移位数组，只是它们从未被切片:当数组中的每个元素都被移除时，该数组将被简单地丢弃。

这个包在npm上，具有基本的FIFO功能，我最近刚刚推送了它。代码分为两部分。

这是第一部分

/** Queue contains a linked list of Subqueue */
class Subqueue <T> {
  public full() {
    return this.array.length >= 1000;
  }

  public get size() {
    return this.array.length - this.index;
  }

  public peek(): T {
    return this.array[this.index];
  }

  public last(): T {
    return this.array[this.array.length-1];
  }

  public dequeue(): T {
    return this.array[this.index++];
  }

  public enqueue(elem: T) {
    this.array.push(elem);
  }

  private index: number = 0;
  private array: T [] = [];

  public next: Subqueue<T> = null;
}

这里是Queue的主类:

class Queue<T> {
  get length() {
    return this._size;
  }

  public push(...elems: T[]) {
    for (let elem of elems) {
      if (this.bottom.full()) {
        this.bottom = this.bottom.next = new Subqueue<T>();
      }
      this.bottom.enqueue(elem);
    }

    this._size += elems.length;
  }

  public shift(): T {
    if (this._size === 0) {
      return undefined;
    }

    const val = this.top.dequeue();
    this._size--;
    if (this._size > 0 && this.top.size === 0 && this.top.full()) {
      // Discard current subqueue and point top to the one after
      this.top = this.top.next;
    }
    return val;
  }

  public peek(): T {
    return this.top.peek();
  }

  public last(): T {
    return this.bottom.last();
  }

  public clear() {
    this.bottom = this.top = new Subqueue();
    this._size = 0;
  }

  private top: Subqueue<T> = new Subqueue();
  private bottom: Subqueue<T> = this.top;
  private _size: number = 0;
}

类型注释(:X)可以很容易地删除，以获得ES6 javascript代码。

如果你正在寻找带有一些基本操作(基于链表)的堆栈和队列数据结构的ES6 OOP实现，那么它可能是这样的:

Queue.js

import LinkedList from '../linked-list/LinkedList';

export default class Queue {
  constructor() {
    this.linkedList = new LinkedList();
  }

  isEmpty() {
    return !this.linkedList.tail;
  }

  peek() {
    if (!this.linkedList.head) {
      return null;
    }

    return this.linkedList.head.value;
  }

  enqueue(value) {
    this.linkedList.append(value);
  }

  dequeue() {
    const removedHead = this.linkedList.deleteHead();
    return removedHead ? removedHead.value : null;
  }

  toString(callback) {
    return this.linkedList.toString(callback);
  }
}

Stack.js

import LinkedList from '../linked-list/LinkedList';

export default class Stack {
  constructor() {
    this.linkedList = new LinkedList();
  }

  /**
   * @return {boolean}
   */
  isEmpty() {
    return !this.linkedList.tail;
  }

  /**
   * @return {*}
   */
  peek() {
    if (!this.linkedList.tail) {
      return null;
    }

    return this.linkedList.tail.value;
  }

  /**
   * @param {*} value
   */
  push(value) {
    this.linkedList.append(value);
  }

  /**
   * @return {*}
   */
  pop() {
    const removedTail = this.linkedList.deleteTail();
    return removedTail ? removedTail.value : null;
  }

  /**
   * @return {*[]}
   */
  toArray() {
    return this.linkedList
      .toArray()
      .map(linkedListNode => linkedListNode.value)
      .reverse();
  }

  /**
   * @param {function} [callback]
   * @return {string}
   */
  toString(callback) {
    return this.linkedList.toString(callback);
  }
}

上面例子中用于堆栈和队列的LinkedList实现可以在GitHub上找到。

问候,

在Javascript中，栈和队列的实现如下:

堆栈:堆栈是一个容器，其中的对象是根据后进先出(LIFO)原则插入和删除的。

方法将一个或多个元素添加到数组的末尾，并返回数组的新长度。 方法从数组中删除最后一个元素并返回该元素。

队列:队列是根据先进先出(FIFO)原则插入和删除对象的容器(线性集合)。

方法将一个或多个元素添加到数组的开头。 Shift:该方法从数组中移除第一个元素。

let stack = []; stack.push(1);//[1] stack.push(2);//[1,2] stack.push(3);//[1,2,3] console.log('It was inserted 1,2,3 in stack:', ...stack); stack.pop(); //[1,2] console.log('Item 3 was removed:', ...stack); stack.pop(); //[1] console.log('Item 2 was removed:', ...stack); let queue = []; queue.push(1);//[1] queue.push(2);//[1,2] queue.push(3);//[1,2,3] console.log('It was inserted 1,2,3 in queue:', ...queue); queue.shift();// [2,3] console.log('Item 1 was removed:', ...queue); queue.shift();// [3] console.log('Item 2 was removed:', ...queue);

你可以使用WeakMaps来实现ES6类中的私有属性，以及JavaScript语言中String属性和方法的好处，如下所示:

const _items = new WeakMap();

class Stack {
  constructor() {
    _items.set(this, []);
  }

push(obj) {
  _items.get(this).push(obj);
}

pop() {
  const L = _items.get(this).length;
  if(L===0)
    throw new Error('Stack is empty');
  return _items.get(this).pop();
}

peek() {
  const items = _items.get(this);
  if(items.length === 0)
    throw new Error ('Stack is empty');
  return items[items.length-1];
}

get count() {
  return _items.get(this).length;
}
}

const stack = new Stack();

//now in console:
//stack.push('a')
//stack.push(1)
//stack.count   => 2
//stack.peek()  => 1
//stack.pop()   => 1
//stack.pop()   => "a"
//stack.count   => 0
//stack.pop()   => Error Stack is empty

使用两个堆栈构造一个队列。

O(1)用于入队和出队操作。

class Queue {
  constructor() {
    this.s1 = []; // in
    this.s2 = []; // out
  }

  enqueue(val) {
    this.s1.push(val);
  }

  dequeue() {
    if (this.s2.length === 0) {
      this._move();
    }

    return this.s2.pop(); // return undefined if empty
  }

  _move() {
    while (this.s1.length) {
      this.s2.push(this.s1.pop());
    }
  }
}

有点晚了，但我认为答案应该在这里。下面是一个使用稀疏数组幂的O(1)入队列和O(1)出队列的Queue实现。

JS中的稀疏数组通常被忽视，但实际上它们是一块宝石，我们应该在一些关键任务中使用它们的力量。

这是一个骨架队列实现它扩展了数组类型并在O(1)中做了所有的事情。

class Queue extends Array { constructor(){ super() Object.defineProperty(this,"head",{ value : 0 , writable: true }); } enqueue(x) { this.push(x); return this; } dequeue() { var first; return this.head < this.length ? ( first = this[this.head] , delete this[this.head++] , first ) : void 0; // perfect undefined } peek() { return this[this.head]; } } var q = new Queue(); console.log(q.dequeue()); // doesn't break console.log(q.enqueue(10)); // add 10 console.log(q.enqueue("DIO")); // add "DIO" (Last In Line cCc R.J.DIO reis cCc) console.log(q); // display q console.log(q.dequeue()); // lets get the first one in the line console.log(q.dequeue()); // lets get DIO out from the line .as-console-wrapper { max-height: 100% !important; }

那么这里是否存在潜在的内存泄漏?不，我不这么认为。JS的稀疏数组是不连续的。因此，删除的项不应该成为数组内存占用的一部分。让GC帮你完成任务。这是免费的。

一个潜在的问题是，长度属性在不断将项目放入队列时无限增长。然而，仍然可以实现一个自动刷新(冷凝)机制，一旦长度达到某个值。

编辑:

上面的代码很好，但是删除操作符仍然是O(1)，是一个很慢的操作符。此外，现代JS引擎是如此优化，对于< ~25000项。shift()工作O(1)无论如何。所以我们需要更好的东西。

在这种特殊情况下，随着引擎的发展，我们必须利用它们的新力量。下面的代码使用链表，我相信它是截至2021年最快、最安全的现代JS队列结构。

class Queue {
  #head;
  #last;
  constructor(){
    this.#head;
    this.#last;
  };
  enqueue(value){
    var link = {value, next: void 0};
    this.#last = this.#head ? this.#last.next = link
                            : this.#head      = link;
  }
  dequeue(){
    var first;
    return this.#head && ( first = this.#head.value
                         , this.#head = this.#head.next
                         , first
                         );
  }
  peek(){
    return this.#head && this.#head.value;
  }
};

这是一个非常快速的队列结构，并使用私有类字段隐藏关键变量以防止窥视。

单端队列

这是一个使用映射的队列。由于插入顺序得到了保证，所以可以像迭代数组一样迭代它。除此之外，它的思想与Queue.js非常相似。

我做了一些简单的测试，但还没有进行广泛的测试。我还添加了一些我认为很好的功能(通过数组构造)或易于实现(例如last()和first())。

它背后的简单版本/直觉如下:

class Queue {
    constructor() {
        this.offset = 0
        this.data = new Map()
    }

    enqueue(item) {
        const current = this.offset + this.length()
        this.data.set(current, item)
    }

    dequeue() {
        if (this.length() > 0) {
            this.data.delete(this.offset)
            this.offset += 1
        }
    }

    first() {
        return this.data.get(this.offset)
    }

    last() {
        return this.data.get(this.offset + this.length() - 1)
    }

    length() {
        return this.data.size
    }
}

简单版本的问题是，当内存索引超过9千万亿(Number.MAX_SAFE_INTEGER的值)时，需要重新映射内存。此外，我认为它可能很好有数组构造，它很高兴看到值正在进入队列和退出队列返回。可以通过编写以下代码来解释这一点:

class Queue {
    constructor() {
        this.offset = 0
        this.data = new Map()
        if (arguments.length === 1) this._initializeFromArray(arguments[0])
    }

    enqueue(item) {
        const current = this.offset + this.length()
        this.data.set(current, item)
        let result = this.data.get(current)
        this._remapDataIfMaxMemoryViolation(current, Number.MAX_SAFE_INTEGER)
        return result
    }

    dequeue() {
        let result = undefined
        if (this.length() > 0) {
            result = this.data.get(this.offset)
            this.data.delete(this.offset)
            this.offset += 1
        }
        if (this.length() === 0) this.offset = 0
        return result
    }

    first() {
        return this.data.get(this.offset)
    }

    last() {
        return this.data.get(this.offset + this.length() - 1)
    }

    length() {
        return this.data.size
    }

    _remapDataIfMaxMemoryViolation(current, threshhold) {
        if (current+1 === threshhold) {
            const length = this.length()
            this.offset = 0
            for (const [key, value] of this.data) {
                this.data.set(this.offset, value)
                this.data.delete(key, value)
                this.offset += 1
                if (this.offset === length) break
            }       
        }
    }

    _initializeFromArray(array) {
        for (const value of array) {
            this.data.set(this.offset, value)
            this.offset += 1
        }
    }
}

我在Chrome开发控制台进行了一些测试，对完整版本进行了以下调用。

l = console.log // I'm lazy with typing
q = new Queue()
l('enqueue', q.enqueue(1))
l('enqueue', q.enqueue(2))
l('enqueue', q.enqueue(3))
l('enqueue', q.enqueue("hello"))
l('enqueue', q.enqueue("monkey"))
l('show 5 elements: ', q.data)
l('length', q.length())
l('first', q.first())
l('last', q.last())
l('dequeue', q.dequeue())
l('dequeue', q.dequeue())
l('show 3 elements', q.data)
q._remapDataIfMaxMemoryViolation(q.length()+q.offset-1, 5)
l('show 3 remapped elements', q.data)

l(queue = new Queue([3,4,5,6,7,8,9]))
l(queue.data)

我认为实现堆栈和队列的最干净的方法应该是使用一个允许从两端添加和删除的容器，然后限制其在一端的功能，这可以通过Javascript中的一个简单数组来完成。

//堆栈容器在封装时使用的语句

// Allow push and pop from the same end
array.push(element);
array.pop();

//封装时在队列容器中使用的语句

// Allow push and pop from different ends
array.push(element);
array.shift();

很抱歉碰到这个话题，但我滚动了许多答案，没有看到任何基于对象的队列的实现，它可以用O(1)执行排队和出队列，并且没有浪费内存。

Dmitri Pavlutin在他的博客https://dmitripavlutin.com/javascript-queue/上有一个很好的入门代码

它只遗漏了一个长度为0的检查，这是很容易添加的。

这个解决方案的最大和唯一的问题是不断增长的索引可能会在某一点上达到一些数量限制，如果队列运行很长时间和/或高速(我的意图是处理音频=高速)。

这个问题没有完美的解决方案……最简单的方法是在队列为空时将索引重置为0。

最后，我添加了一个重构方法，它将所有索引移回开始，以在队列永远不为空的情况下使用。

性能无疑是更好的(以毫秒为单位的时间，排队10000个号码然后退出它们):

class QueueObject {
  constructor () {
    this.data = {}
    this.head = 0
    this.tail = 0
    this.length = 0
  }
  enqueue (value) {
    this.data[this.tail++] = value
    this.length++
  }
  dequeue () {
    let value
    if (this.length > 0) {
      this.length--
      value = this.data[this.head]
      delete this.data[this.head++]
    } else {
      this.head = 0
      this.tail = 0
      value = null
    }
    return value
  }
  refactor () {
    if (this.head > 0) {
      for (let i = this.head; i < this.tail; i++) {
        this.data[i - this.head] = this.data[i]
        delete this.data[i]
      }
      this.tail = this.length
      this.head = 0
    }
  }
}

我在实现BFS时遇到了这个线程。在疑惑为何表现如此糟糕之后，我做了一些调查。array.shift()通常在O(n)中运行，这将我的BFS运行时从O(V+E)增加到O(V^2+E)。

我没有从头开始实现一个队列，而是使用了npm包双端队列，它与之前使用的数组方法兼容，工作起来很有魅力。 deque可以用作堆栈或队列。

    //import package
    import Deque from 'double-ended-queue';

    //create queue
    let queue = new Deque();
    //append
    queue.push(item);
    //dequeue (get first item inserted)
    let firstItem = queue.shift();

    //pop (get last item inserted)
    let lastItem = queue.pop();

数组是Javascript中的堆栈。只需使用arr.push(x)和y = arr.pop()。

下面是用Javascript实现队列的最简单方法，对于enqueue(x)和y = dequeue()，它的平摊时间都是O(1)。它使用从插入索引到元素的映射。

function newQueue() {
    return {
        headIdx: 0,
        tailIdx: 0,
        elts: {},
        enqueue: (elt) => queue.elts[queue.tailIdx++] = elt,
        dequeue: () => {
            if (queue.headIdx == queue.tailIdx) {
                throw new Error("Queue is empty");
            }
            return queue.elts[queue.headIdx++];
        },
        size: () => queue.tailIdx - queue.headIdx,
        isEmpty: () => queue.tailIdx == queue.headIdx
    };
}

使用链表实现的队列比这种基于映射的方法更有效，使用循环缓冲区实现的队列比这种基于映射的方法更有效，但这两种数据结构的实现更复杂(特别是循环缓冲区数据结构)。

如果有人需要它，你可以使用这个NPM包https://www.npmjs.com/package/data-structures-typescript，它有一个队列和堆栈，它支持javascript和typescript，它是通用的，所以你可以用你自己的值类型;)

As many have said: native array using push and pop is fine for a stack, but using shift for taking elements from a queue means that the remaining elements need to move, which is potentially slow. The idea of using two stacks to make a queue in kevinyu's answer is a nice idea to fix it, and of course that can be done with native-array-stacks as well. (Edit: there was actually already an answer by Yuki-Dreamer that does this, albeit less compactly. I didn't notice it until now because it was unfairly downvoted.)

下面是一个使用ES5/ES6特性的紧凑实现，它使队列对象的行为尽可能接近本机的push/shift变体，除了每次操作花费O(1)平摊时间:

const queue = () => {
    const a = [], b = [];
    return {
        push: (...elts) => a.push(...elts),
        shift: () => {
            if (b.length === 0) {
                while (a.length > 0) { b.push(a.pop()) }
            }
            return b.pop();
        },
        get length() { return a.length + b.length }
    }
}

现在你可以做:

const q = queue();
q.push(8);
q.push(9);
q.push(10);
console.log(q.length);          // outputs 3
console.log(q.shift());         // outputs 8
q.push(11);
console.log(q.shift());         // outputs 9
console.log(q.shift());         // outputs 10
console.log(q.shift());         // outputs 11
console.log(q.shift());         // outputs undefined

队列实现对长度使用getter语法，使其看起来像一个属性，并对push使用rest参数语法，以允许一次推送多个内容。如果你不想这样做，你可以用push: elt => a.push(elt)，替换第4行。(但是请注意，你不能用push: a.push替换它，就像我自己第一次尝试的那样，结果非常奇怪:这是因为它导致本机push方法被调用，并设置为队列对象。)