运算符 $last 对查询指定的一个或多个字段上的文档进行排序,并返回与筛选条件匹配的最后一个文档。
语法
{
"$last": <expression>
}
参数
| 参数 | DESCRIPTION |
|---|---|
expression |
要计算和返回结果集中最后一个文档的表达式 |
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:获取公司内上次更新的商店
若要检索 First Up 顾问公司内最近更新的存储,请运行查询以提取 First Up 顾问中的所有存储,按 lastUpdated 字段的升序对文档进行排序,并从已排序的结果中返回最后一个文档。
db.stores.aggregate([{
$match: {
company: {
$in: ["First Up Consultants"]
}
}
}, {
$sort: {
lastUpdated: 1
}
}, {
$group: {
_id: "$company",
lastUpdated: {
$last: "$lastUpdated"
}
}
}])
此查询返回以下结果:
[
{
"_id": "First Up Consultants",
"lastUpdated": "ISODate('2024-12-31T13:01:19.097Z')"
}
]
示例 2 - 使用窗口运算符
若要检索每个公司中最近更新的存储,请运行查询,按公司字段对结果进行分区,并按 lastUpdated 字段的升序对每个分区中的文档进行排序,并返回每个分区的已排序结果。
db.stores.aggregate([{
$setWindowFields: {
partitionBy: "$company",
sortBy: {
lastUpdated: 1
},
output: {
lastUpdatedDateForStore: {
$last: "$lastUpdated",
window: {
documents: ["current", "unbounded"]
}
}
}
}
}])
此查询返回的第一个结果为:
[
{
"_id": "First Up Consultants",
"lastUpdated": "ISODate('2024-12-31T13:01:19.097Z')"
}
]
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