運算子 $mergeObjects 會將多個文件合併成單一檔。 mergeObjects 作業用於匯總管線,以合併來自不同檔的欄位,或將一或多個字段新增至現有的檔。 運算子會在發生衝突時,以源文檔的欄位覆寫目標檔中的欄位。
語法
{
$mergeObjects: [ < document1 > , < document2 > , ...]
}
參數
| 參數 | Description |
|---|---|
document1, document2 |
要合併的檔。 檔可以指定為欄位路徑、子檔或常數。 |
範例
請參考商店集合中的此範例檔。
{
"_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
}
]
}
]
}
範例 1 - 將檔案合併為累加器,以便依銷售子檔將檔分組
查詢會合併特定公司每個城市的所有銷售子文件。
db.stores.aggregate([
{
$match: {
company: "Fourth Coffee"
}
},
{
$group: {
_id: "$city",
mergedSales: {
$mergeObjects: "$sales"
}
}
},
{
$limit: 2 // returns only the first 3 grouped cities
}
])
此查詢傳回的前兩個結果是:
[
{
"_id": "Jalonborough",
"mergedSales": {
"totalSales": 45747,
"salesByCategory": [
{
"categoryName": "Bucket Bags",
"totalSales": 45747
}
]
}
},
{
"_id": "Port Vladimir",
"mergedSales": {
"totalSales": 32000,
"salesByCategory": [
{
"categoryName": "DJ Speakers",
"totalSales": 24989
},
{
"categoryName": "DJ Cables",
"totalSales": 7011
}
]
}
}
]
相關內容
- 檢視從 MongoDB 遷移到 Azure DocumentDB 的選項。
- 閱讀有關 與 MongoDB 的功能相容性的更多資訊。