聚合管道中的 $sortByCount 阶段用于按指定表达式对文档进行分组,然后按降序对每个组中的文档计数进行排序。
$sortByCount
阶段可用于快速识别数据集中最常见的值。
语法
{
$sortByCount: <expression>
}
参数
参数 | DESCRIPTION |
---|---|
expression |
这是对文档分组和计数时所基于的字段或计算表达式。 |
例子
请考虑商店集合中的这个示例文档。
{
"_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:按名称和计数事件按降序对升级事件进行分组
若要按 eventName 字段分组并计算每个事件名称的出现次数,请按计数的降序对结果进行排序
db.stores.aggregate([
{ $unwind: "$promotionEvents" },
{ $sortByCount: "$promotionEvents.eventName" }
])
此查询返回以下结果:
[
{ "_id": "Crazy Deal Days", "count": 4239 },
{ "_id": "Markdown Madness", "count": 2967 },
{ "_id": "Bargain Bonanza", "count": 2925 },
{ "_id": "Crazy Discount Days", "count": 2922 },
{ "_id": "Price Smash Spectacular", "count": 2915 },
{ "_id": "Super Saver Spectacular", "count": 2900 },
{ "_id": "Crazy Markdown Madness", "count": 2899 },
{ "_id": "Price Cut Carnival", "count": 2868 },
{ "_id": "Grand Bargain Bash", "count": 2849 },
{ "_id": "Bargain Blitz Bash", "count": 2843 },
{ "_id": "Grand Savings Gala", "count": 2826 },
{ "_id": "Super Saver Fiesta", "count": 1551 },
{ "_id": "Major Deal Days", "count": 1548 },
{ "_id": "Price Slash Carnival", "count": 1535 },
{ "_id": "Super Discount Days", "count": 1533 },
{ "_id": "Big Deal Bonanza", "count": 1533 },
{ "_id": "Incredible Savings Showcase", "count": 1531 },
{ "_id": "Unbeatable Savings Spectacular", "count": 1518 },
{ "_id": "Fantastic Deal Days", "count": 1511 },
{ "_id": "Flash Bargain Frenzy", "count": 1504 }
]
此管道将:
- 使用 $unwind 从输入文档解构 promotionEvents 数组字段。
- 使用 $sortByCount 按 eventName 字段分组,并计算每个活动名称的出现次数,按计数的降序对结果排序。
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