$bottomN运算符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最后 N 个文档。
语法
{
$bottomN: {
output: [listOfFields],
sortBy: {
<fieldName>: < sortOrder >
},
n: < numDocumentsToReturn >
}
}
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 |
n |
要从排序结果集底部返回的文档数 |
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:按总销售额查找底部两家商店
若要确定第一个 Up 顾问公司中销售额最低的两家商店,请运行查询以检索“第一向上顾问”公司内的商店,按总销售额的降序对生成的文档进行排序,并从排序的结果集中返回最后两个文档。
db.stores.aggregate([{
$match: {
company: {
$in: ["First Up Consultants"]
}
}
}, {
$group: {
_id: "$company",
bottomSales: {
$bottomN: {
output: ["$company", "$sales"],
sortBy: {
"sales.revenue": -1
},
n: 2
}
}
}
}])
此查询返回以下结果:
[
{
"_id": "First Up Consultants",
"bottomSales": [
[
"First Up Consultants",
{
"salesByCategory": [
{
"categoryName": "Skirts",
"totalSales": 109
}
],
"revenue": 109
}
],
[
"First Up Consultants",
{
"salesByCategory": [
{
"categoryName": "Mirrors",
"totalSales": 120
}
],
"revenue": 120
}
]
]
}
]
示例 2:按每个商店的总销售额查找底部两个类别
若要按每个商店的总销售额确定两个性能最低的类别,请运行查询以检索至少两个销售类别的文档,按总销售额的降序对类别进行排序,最后返回每个商店的底部两个类别。
db.stores.aggregate([{
$unwind: "$sales.salesByCategory"
}, {
$match: {
"sales.salesByCategory.totalSales": {
$exists: true
}
}
}, {
$group: {
_id: "$_id",
storeName: {
$first: "$name"
},
categoryCount: {
$sum: 1
},
bottomTwoCategories: {
$bottomN: {
n: 2,
sortBy: {
"sales.salesByCategory.totalSales": -1
},
output: {
categoryName: "$sales.salesByCategory.categoryName",
totalSales: "$sales.sale"
}
}
}
}
}, {
$match: {
categoryCount: {
$gte: 2
}
}
}])
此查询返回的第一个结果为:
[
{
"_id": "64ec6589-068a-44a6-be5b-9d37bb0a90f1",
"storeName": "First Up Consultants | Computer Gallery - West Cathrine",
"categoryCount": 8,
"bottomTwoCategories": [
{
"categoryName": "Gaming Controllers",
"totalSales": null
},
{
"categoryName": "Network Adapters",
"totalSales": null
}
]
}
]
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