$replaceWith
聚合阶段运算符用于将输入文档替换为指定的文档。 运算符 $replaceWith
将文档从一个结构转换为另一个结构,或者将它们完全替换为新的字段和值。
语法
{
"$replaceWith": <newDocument>
}
参数
参数 | DESCRIPTION |
---|---|
newDocument |
用于替换原始文档的新文档 |
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 - 返回一个文档,该文档将原始的内容替换为项目的一个子集
首先,匹配要用 _id 字段替换的特定文档,并用指定的字段替换文档的内容。
db.stores.aggregate([{
$match: {
_id: "bda56164-954d-4f47-a230-ecf64b317b43"
}
}, {
$replaceWith: {
_id: "$_id",
name: "$name",
sales: "$sales.totalSales"
}
}])
此查询返回以下结果:
[
{
"_id": "bda56164-954d-4f47-a230-ecf64b317b43",
"name": "Boulder Innovations | Home Security Place - Ankundingburgh",
"sales": 37015
}
]
示例 2 - 返回在聚合指定字段后替换原始文档内容的文档
db.stores.aggregate([{
$match: {
_id: "bda56164-954d-4f47-a230-ecf64b317b43"
}
}, {
$replaceWith: {
_id: "$_id",
name: "$name",
totalStaff: {
$add: ["$staff.totalStaff.fullTime", "$staff.totalStaff.partTime"]
}
}
}])
这会返回以下结果:
[
{
"_id": "bda56164-954d-4f47-a230-ecf64b317b43",
"name": "Boulder Innovations | Home Security Place - Ankundingburgh",
"totalStaff": 29
}
]
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