运算符 $count
用于计算与指定查询筛选器匹配的文档数。 count 运算符可用于汇总数据或生成特定分组的计数。
语法
{
$count: "<fieldName>"
}
参数
参数 | DESCRIPTION |
---|---|
<fieldName> |
输出文档中将存储计数的字段的名称。 |
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:检索所有文档的计数
若要检索集合中的文档计数,只需运行不带查询筛选器的计数查询。
db.stores.aggregate([{
$count: "totalDocuments"
}])
此查询返回以下结果:
[
{
"totalDocuments": 41501
}
]
示例 2:统计按特定字段分组的文档
若要检索每个销售类别中的文档计数,请先运行查询,按销售类别对文档进行分组。 然后在每个类别中运行计数查询。
db.stores.aggregate([{
$unwind: "$sales.salesByCategory"
},
{
$group: {
_id: "$sales.salesByCategory.categoryName",
totalCount: {
$count: {}
}
}
}
])
此查询返回以下结果:
[
{
"_id": "Christmas Trees",
"totalCount": 93
},
{
"_id": "Nuts",
"totalCount": 83
},
{
"_id": "Camping Tables",
"totalCount": 130
},
{
"_id": "Music Theory Books",
"totalCount": 52
},
{
"_id": "Fortified Wine",
"totalCount": 55
},
{
"_id": "Children's Mystery",
"totalCount": 45
},
{
"_id": "Short Throw Projectors",
"totalCount": 72
},
{
"_id": "Pliers",
"totalCount": 56
},
{
"_id": "Bluetooth Headphones",
"totalCount": 104
},
{
"_id": "Video Storage",
"totalCount": 80
},
{
"_id": "Cleansers",
"totalCount": 68
},
{
"_id": "Camera Straps",
"totalCount": 64
},
{
"_id": "Carry-On Bags",
"totalCount": 57
},
{
"_id": "Disinfectant Wipes",
"totalCount": 85
},
{
"_id": "Insignia Smart TVs",
"totalCount": 81
},
{
"_id": "Toner Refill Kits",
"totalCount": 38
},
{
"_id": "iPads",
"totalCount": 51
},
{
"_id": "Memory Foam Mattresses",
"totalCount": 58
},
{
"_id": "Storage Baskets",
"totalCount": 68
},
{
"_id": "Body Spray",
"totalCount": 96
}
]
示例 3:统计促销事件数
若要计算所有商店中的促销事件数,请先运行查询,先通过促销事件展开,然后对不同的促销事件进行计数。
db.stores.aggregate([{
$unwind: "$promotionEvents"
},
{
$count: "totalPromotionEvents"
}
])
此查询返回以下结果:
[
{
"totalPromotionEvents": 145673
}
]
示例 4:使用$count
$setWindowFields
若要获取每个商店的笔记本电脑促销销售额,请先运行查询,以筛选 2023 年笔记本电脑的促销事件。 然后按公司对生成的存储进行分区。 最后,跨分区存储运行计数查询以返回结果。
db.stores.aggregate([{
$unwind: "$promotionEvents"
},
{
$unwind: "$promotionEvents.discounts"
},
// Filter only for Laptop discounts in 2023
{
$match: {
"promotionEvents.promotionalDates.startDate.Year": 2023,
"promotionEvents.discounts.categoryName": "Laptops"
}
},
// Add sales count by city using window function
{
$setWindowFields: {
partitionBy: "$company",
output: {
salesCount: {
$count: {},
window: {
documents: ["unbounded", "unbounded"]
}
}
}
}
},
// Group to return a single result per city
{
$group: {
_id: "$company",
salesCount: {
$first: "$salesCount"
}
}
}
])
此查询返回以下结果:
[
{
"_id": "VanArsdel, Ltd.",
"salesCount": 13
},
{
"_id": "Proseware, Inc.",
"salesCount": 12
},
{
"_id": "Fabrikam, Inc.",
"salesCount": 11
},
{
"_id": "Contoso, Ltd.",
"salesCount": 13
},
{
"_id": "Fourth Coffee",
"salesCount": 8
},
{
"_id": "Trey Research",
"salesCount": 14
},
{
"_id": "Adatum Corporation",
"salesCount": 12
},
{
"_id": "Relecloud",
"salesCount": 16
},
{
"_id": "Lakeshore Retail",
"salesCount": 13
},
{
"_id": "Northwind Traders",
"salesCount": 5
},
{
"_id": "First Up Consultants",
"salesCount": 4
},
{
"_id": "Wide World Importers",
"salesCount": 7
},
{
"_id": "Tailwind Traders",
"salesCount": 12
}
]
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