运算符 $top 对查询指定的一个或多个字段上的文档进行排序,并返回与筛选条件匹配的第一个文档。 它将排序和选择组合在一个作中,从而有效地查找最高值或最低值,而无需单独的排序阶段。
语法
{
$top: {
output: [listOfFields],
sortBy: {
< fieldName >: < sortOrder >
}
}
}
参数
| 参数 | DESCRIPTION |
|---|---|
listOfFields |
要为结果集中的最后一个文档返回的字段列表 |
fieldName |
用于对结果集进行排序的字段 |
sortOrder |
1 或 -1。 1 表示按字段值的升序排序,而 -1 表示按字段值的降序排序 |
例子
请考虑存储集合中的此示例文档。
{
"_id": "0fcc0bf0-ed18-4ab8-b558-9848e18058f4",
"name": "First Up Consultants | Beverage Shop - Satterfieldmouth",
"location": {
"lat": -89.2384,
"lon": -46.4012
},
"staff": {
"totalStaff": {
"fullTime": 8,
"partTime": 20
}
},
"sales": {
"totalSales": 75670,
"salesByCategory": [
{
"categoryName": "Wine Accessories",
"totalSales": 34440
},
{
"categoryName": "Bitters",
"totalSales": 39496
},
{
"categoryName": "Rum",
"totalSales": 1734
}
]
},
"promotionEvents": [
{
"eventName": "Unbeatable Bargain Bash",
"promotionalDates": {
"startDate": {
"Year": 2024,
"Month": 6,
"Day": 23
},
"endDate": {
"Year": 2024,
"Month": 7,
"Day": 2
}
},
"discounts": [
{
"categoryName": "Whiskey",
"discountPercentage": 7
},
{
"categoryName": "Bitters",
"discountPercentage": 15
},
{
"categoryName": "Brandy",
"discountPercentage": 8
},
{
"categoryName": "Sports Drinks",
"discountPercentage": 22
},
{
"categoryName": "Vodka",
"discountPercentage": 19
}
]
},
{
"eventName": "Steal of a Deal Days",
"promotionalDates": {
"startDate": {
"Year": 2024,
"Month": 9,
"Day": 21
},
"endDate": {
"Year": 2024,
"Month": 9,
"Day": 29
}
},
"discounts": [
{
"categoryName": "Organic Wine",
"discountPercentage": 19
},
{
"categoryName": "White Wine",
"discountPercentage": 20
},
{
"categoryName": "Sparkling Wine",
"discountPercentage": 19
},
{
"categoryName": "Whiskey",
"discountPercentage": 17
},
{
"categoryName": "Vodka",
"discountPercentage": 23
}
]
}
]
}
示例 1:获取每个商店最畅销的类别
若要查找 First Up Consultants 公司内销售最高的类别,请运行查询以检索公司内的商店,按每个类别内总销售额的降序对文档进行排序,并在排序的结果集中返回顶部文档。
db.stores.aggregate([{
$match: {
company: {
$in: ["First Up Consultants"]
}
}
}, {
$group: {
_id: "$company",
topSales: {
$top: {
output: ["$company", "$sales"],
sortBy: {
"sales.totalSales": -1
}
}
}
}
}])
此查询返回以下结果:
[
{
"_id": "First Up Consultants",
"topSales": [
"First Up Consultants",
{
"salesByCategory": [
{
"categoryName": "Towel Sets",
"totalSales": 520
},
{
"categoryName": "Bath Accessories",
"totalSales": 41710
},
{
"categoryName": "Drapes",
"totalSales": 42893
},
{
"categoryName": "Towel Racks",
"totalSales": 30773
},
{
"categoryName": "Hybrid Mattresses",
"totalSales": 39491
},
{
"categoryName": "Innerspring Mattresses",
"totalSales": 6410
},
{
"categoryName": "Bed Frames",
"totalSales": 41917
},
{
"categoryName": "Mattress Protectors",
"totalSales": 44124
},
{
"categoryName": "Bath Towels",
"totalSales": 5671
},
{
"categoryName": "Turkish Towels",
"totalSales": 25674
}
],
"revenue": 279183
}
]
}
]
示例 2:按促销类别获取最高折扣
若要提取每个销售类别的最高折扣,请先运行查询以按商店对所有文档进行分组,然后按每个促销事件中的折扣百分比降序对文档进行排序,然后从每个商店的已排序结果集中返回顶部文档。
db.stores.aggregate([{
$unwind: "$promotionEvents"
},
{
$unwind: "$promotionEvents.discounts"
},
{
$group: {
_id: "$_id",
storeName: {
$first: "$name"
},
highestDiscount: {
$top: {
sortBy: {
"promotionEvents.discounts.discountPercentage": -1
},
output: {
categoryName: "$promotionEvents.discounts.categoryName",
discountPercentage: "$promotionEvents.discounts.discountPercentage",
eventName: "$promotionEvents.eventName"
}
}
}
}
}
])
此查询返回的前两个结果为:
[
{
"_id": "64ec6589-068a-44a6-be5b-9d37bb0a90f1",
"storeName": "First Up Consultants | Computer Gallery - West Cathrine",
"highestDiscount": {
"categoryName": "Gaming Accessories",
"discountPercentage": 24,
"eventName": "Crazy Markdown Madness"
}
},
{
"_id": "a58d0356-493b-44e6-afab-260aa3296930",
"storeName": "Fabrikam, Inc. | Outdoor Furniture Nook - West Lexie",
"highestDiscount": {
"categoryName": "Fire Pits",
"discountPercentage": 22,
"eventName": "Savings Showdown"
}
}
]
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