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$maxN
累加器用于从数组或分组数据中检索前 N 个最大值。 它通常用于聚合管道,以基于数字或可比较字段对数据进行排序和筛选。
语法
$maxN: {
input: <expression>,
n: <positive integer>
}
参数
参数 | DESCRIPTION |
---|---|
input |
指定要计算最大值的字段或表达式。 |
n |
指定要检索的最大值的数目。 必须是正整数。 |
例子
让我们了解使用此架构构建的文档的用法。
{
"_id": "7954bd5c-9ac2-4c10-bb7a-2b79bd0963c5",
"name": "Lakeshore Retail | DJ Equipment Stop - Port Cecile",
"location": {
"lat": 60.1441,
"lon": -141.5012
},
"staff": {
"totalStaff": {
"fullTime": 2,
"partTime": 0
}
},
"sales": {
"salesByCategory": [
{
"categoryName": "DJ Headphones",
"totalSales": 35921
}
],
"fullSales": 3700
},
"promotionEvents": [
{
"eventName": "Bargain Blitz Days",
"promotionalDates": {
"startDate": {
"Year": 2024,
"Month": 3,
"Day": 11
},
"endDate": {
"Year": 2024,
"Month": 2,
"Day": 18
}
},
"discounts": [
{
"categoryName": "DJ Turntables",
"discountPercentage": 18
},
{
"categoryName": "DJ Mixers",
"discountPercentage": 15
}
]
}
],
"tag": [
"#ShopLocal",
"#SeasonalSale",
"#FreeShipping",
"#MembershipDeals"
],
"company": "Lakeshore Retail",
"city": "Port Cecile",
"lastUpdated": {
"$date": "2024-12-11T10:21:58.274Z"
}
}
示例 1:基于总销售额检索前 2 个销售类别
以下聚合管道检索排名最高的前 2 个销售类别 totalSales
:
db.stores.aggregate([
{
$project: {
topSalesCategories: {
$maxN: {
input: "$sales.salesByCategory",
n: 2
}
}
}
},
{
$limit: 4
}
])
此查询将返回以下文档。
[
{
_id: 'e6895a31-a5cd-4103-8889-3b95a864e5a6',
topSalesCategories: [ { categoryName: 'Photo Albums', totalSales: 17676 } ]
},
{
_id: 'b5c9f932-4efa-49fd-86ba-b35624d80d95',
topSalesCategories: [ { categoryName: 'Rulers', totalSales: 35346 } ]
},
{
_id: '5c882644-f86f-433f-b45e-88e2015825df',
topSalesCategories: [
{ categoryName: 'iPads', totalSales: 39014 },
{ categoryName: 'Unlocked Phones', totalSales: 49969 }
]
},
{
_id: 'cba62761-10f8-4379-9eea-a9006c667927',
topSalesCategories: [
{ categoryName: 'Ultrabooks', totalSales: 41654 },
{ categoryName: 'Toner Refill Kits', totalSales: 10726 }
]
}
]
示例 2:使用$maxN
$setWindowFields
每个城市 2023 年类别“笔记本电脑”的 N 大折扣
db.yourCollection.aggregate([
{ $unwind: "$promotionEvents" },
{ $unwind: "$promotionEvents.discounts" },
// Match only "Laptops" discounts from year 2023
{
$match: {
"promotionEvents.discounts.categoryName": "Laptops",
"promotionEvents.promotionalDates.startDate.Year": 2023
}
},
// Group by city and collect top N max discounts
{
$group: {
_id: "$city",
topDiscounts: {
$maxN: {
input: "$promotionEvents.discounts.discountPercentage",
n: 3 // Change this to however many top discounts you want
}
}
}
}
])
此查询将返回以下文档。
[
{ _id: 'Lake Margareteland', topDiscounts: [ 18 ] },
{ _id: 'Horacetown', topDiscounts: [ 13 ] },
{ _id: "D'Amoreside", topDiscounts: [ 9 ] },
{ _id: 'North Berylborough', topDiscounts: [ 23, 22 ] },
{ _id: 'Windlerbury', topDiscounts: [ 18 ] },
{ _id: 'New Jalonhaven', topDiscounts: [ 21, 19 ] },
{ _id: 'Quitzonhaven', topDiscounts: [ 23 ] },
{ _id: 'North Eladio', topDiscounts: [ 7 ] },
{ _id: 'Terrenceberg', topDiscounts: [ 15 ] },
{ _id: 'Ruthville', topDiscounts: [ 16 ] },
{ _id: 'Loweshire', topDiscounts: [ 13 ] },
{ _id: 'North Korbin', topDiscounts: [ 15 ] },
{ _id: 'Port Jeraldborough', topDiscounts: [ 15 ] },
{ _id: 'Raystad', topDiscounts: [ 11 ] },
{ _id: 'Port Enola', topDiscounts: [ 14 ] },
{ _id: 'Maverickhaven', topDiscounts: [ 14 ] },
{ _id: 'Lake Avafort', topDiscounts: [ 7 ] },
{ _id: 'Ziemannville', topDiscounts: [ 15 ] },
{ _id: 'South Dahliachester', topDiscounts: [ 5 ] },
{ _id: 'Agnesshire', topDiscounts: [ 14, 8 ] }
]