这是一个递归算法，按多个字段排序，同时有机会在比较之前格式化值。

var data = [
{
    "id": 1,
    "ship": null,
    "product": "Orange",
    "quantity": 7,
    "price": 92.08,
    "discount": 0
},
{
    "id": 2,
    "ship": "2017-06-14T23:00:00.000Z".toDate(),
    "product": "Apple",
    "quantity": 22,
    "price": 184.16,
    "discount": 0
},
...
]
var sorts = ["product", "quantity", "ship"]

// comp_val formats values and protects against comparing nulls/undefines
// type() just returns the variable constructor
// String.lower just converts the string to lowercase.
// String.toDate custom fn to convert strings to Date
function comp_val(value){
    if (value==null || value==undefined) return null
    var cls = type(value)
    switch (cls){
        case String:
            return value.lower()
    }
    return value
}

function compare(a, b, i){
    i = i || 0
    var prop = sorts[i]
    var va = comp_val(a[prop])
    var vb = comp_val(b[prop])

    // handle what to do when both or any values are null
    if (va == null || vb == null) return true

    if ((i < sorts.length-1) && (va == vb)) {
        return compare(a, b, i+1)
    } 
    return va > vb
}

var d = data.sort(compare);
console.log(d);

如果a和b相等，它将尝试下一个字段，直到没有可用字段。

哇，这里有一些复杂的解。如此复杂，我决定想出一些更简单但也相当强大的东西。在这里;

function sortByPriority(data, priorities) {
  if (priorities.length == 0) {
    return data;
  }

  const nextPriority = priorities[0];
  const remainingPriorities = priorities.slice(1);

  const matched = data.filter(item => item.hasOwnProperty(nextPriority));
  const remainingData = data.filter(item => !item.hasOwnProperty(nextPriority));

  return sortByPriority(matched, remainingPriorities)
    .sort((a, b) => (a[nextPriority] > b[nextPriority]) ? 1 : -1)
    .concat(sortByPriority(remainingData, remainingPriorities));
}

这里有一个如何使用它的例子。

const data = [
  { id: 1,                         mediumPriority: 'bbb', lowestPriority: 'ggg' },
  { id: 2, highestPriority: 'bbb', mediumPriority: 'ccc', lowestPriority: 'ggg' },
  { id: 3,                         mediumPriority: 'aaa', lowestPriority: 'ggg' },
];

const priorities = [
  'highestPriority',
  'mediumPriority',
  'lowestPriority'
];


const sorted = sortByPriority(data, priorities);

这将首先根据属性的优先级排序，然后根据属性的值进行排序。

下面的函数将允许您对一个或多个属性上的对象数组进行排序，对每个属性进行升序(默认值)或降序排序，并允许您选择是否执行区分大小写的比较。默认情况下，该函数执行不区分大小写的排序。

第一个参数必须是包含对象的数组。 后面的参数必须是一个以逗号分隔的字符串列表，这些字符串引用要排序的不同对象属性。最后一个参数(可选)是一个布尔值，用于选择是否执行区分大小写的排序——区分大小写的排序使用true。

默认情况下，该函数将按升序对每个属性/键排序。如果你想要一个特定的键按降序排序，那么取而代之的是传递一个这样格式的数组:['property_name'， true]。

下面是该函数的一些示例用法，后面附有解释(其中homes是一个包含对象的数组):

objSort(homes， 'city')—>按城市排序(升序，不区分大小写)

objSort(homes， ['city'， true])——>按城市排序(降序，不区分大小写)

objSort(homes， 'city'， true)—>按城市然后价格排序(升序，区分大小写)

objSort(homes， 'city'， 'price')——>先按城市再按价格排序(均为升序，不区分大小写)

objSort(homes， 'city'， ['price'， true])——>排序城市(升序)然后价格(降序)，不区分大小写)

话不多说，下面是函数:

function objSort() {
    var args = arguments,
        array = args[0],
        case_sensitive, keys_length, key, desc, a, b, i;

    if (typeof arguments[arguments.length - 1] === 'boolean') {
        case_sensitive = arguments[arguments.length - 1];
        keys_length = arguments.length - 1;
    } else {
        case_sensitive = false;
        keys_length = arguments.length;
    }

    return array.sort(function (obj1, obj2) {
        for (i = 1; i < keys_length; i++) {
            key = args[i];
            if (typeof key !== 'string') {
                desc = key[1];
                key = key[0];
                a = obj1[args[i][0]];
                b = obj2[args[i][0]];
            } else {
                desc = false;
                a = obj1[args[i]];
                b = obj2[args[i]];
            }

            if (case_sensitive === false && typeof a === 'string') {
                a = a.toLowerCase();
                b = b.toLowerCase();
            }

            if (! desc) {
                if (a < b) return -1;
                if (a > b) return 1;
            } else {
                if (a > b) return -1;
                if (a < b) return 1;
            }
        }
        return 0;
    });
} //end of objSort() function

下面是一些样本数据:

var homes = [{
    "h_id": "3",
    "city": "Dallas",
    "state": "TX",
    "zip": "75201",
    "price": 162500
}, {
    "h_id": "4",
    "city": "Bevery Hills",
    "state": "CA",
    "zip": "90210",
    "price": 1000000
}, {
    "h_id": "5",
    "city": "new york",
    "state": "NY",
    "zip": "00010",
    "price": 1000000
}, {
    "h_id": "6",
    "city": "Dallas",
    "state": "TX",
    "zip": "85000",
    "price": 300000
}, {
    "h_id": "7",
    "city": "New York",
    "state": "NY",
    "zip": "00020",
    "price": 345000
}];

为了简化操作，可以使用这些辅助函数。

您可以根据需要对任意多个字段进行排序。对于每个排序字段，指定属性名，然后可选地指定-1作为排序方向，以降序排序而不是升序排序。

const data = [ {"h_id":"3","city":"Dallas","state":"TX","zip":"75201","price":"162500"}, {"h_id":"4","city":"Bevery Hills","state":"CA","zip":"90210","price":"319250"}, {"h_id":"6","city":"Dallas","state":"TX","zip":"75000","price":"556699"}, {"h_id":"5","city":"New York","state":"NY","zip":"00010","price":"962500"}, {"h_id":"7","city":"New York","state":"NY","zip":"00010","price":"800500"} ] const sortLexically = (p,d=1)=>(a,b)=>d * a[p].localeCompare(b[p]) const sortNumerically = (p,d=1)=>(a,b)=>d * (a[p]-b[p]) const sortBy = sorts=>(a,b)=>sorts.reduce((r,s)=>r||s(a,b),0) // sort first by city, then by price descending data.sort(sortBy([sortLexically('city'), sortNumerically('price', -1)])) console.log(data)

您可以使用lodash或derby函数lodash

它有两个参数字段数组和方向数组('asc'，'desc')

  var homes = [
    {"h_id":"3",
     "city":"Dallas",
     "state":"TX",
     "zip":"75201",
     "price":"162500"},
    {"h_id":"4",
     "city":"Bevery Hills",
     "state":"CA",
     "zip":"90210",
     "price":"319250"},
    {"h_id":"6",
     "city":"Dallas",
     "state":"TX",
     "zip":"75000",
     "price":"556699"},
    {"h_id":"5",
     "city":"New York",
     "state":"NY",
     "zip":"00010",
     "price":"962500"}
    ];

var sorted =. data._.orderBy(data, ['city', 'price'], ['asc','desc'])

今天我做了一个相当通用的多特征排序器。你可以在这里看看byjs: https://github.com/Teun/thenBy.js

它允许您使用标准数组。排序，但使用firstBy(). thenby (). thenby()样式。它比上面发布的解决方案少了很多代码和复杂性。