例如,我有以下两个文档
[
{
"_id": "5fc534505144dd0030c44f8e",
"createdAt": "2020-12-14T15:11:21.327Z"
"user_id": "2",
},
{
"_id": "5fc534505144dd0030c44f8e",
"createdAt": "2020-12-14T14:10:40.427Z",
"user_id": "1"
},
{
"_id": "5fc534595144dd0030c44f95",
"createdAt": "2020-12-13T14:10:58.027Z",
"user_id": "1"
}
]
结果应为
[
{
"date": "2020-12-13",
"count":1
},
{
"date": "2020-12-14",
"count":2
}
]
中计数是在截止日期
之前通过user_ids的不同文档的数量。给定数据
data=[
{
"createdAt": "2020-12-14T15:11:21.327Z",
"user_id": "2",
},
{
"createdAt": "2020-12-14T14:10:40.427Z",
"user_id": "1"
},
{
"createdAt": "2020-12-13T14:10:58.027Z",
"user_id": "1"
},{
"createdAt": new Date("2020-12-14T14:10:58.027Z"),
}
]
> db.dummy.insert(data)
您可以使用aggregate:使用$group与_id是日期的日子与$sum)
> db.dummy.aggregate({$group:{_id:{$substr:['$createdAt', 0, 10]}, count:{$sum:1}}})
{ "_id" : "2020-12-14", "count" : 3 }
{ "_id" : "2020-12-13", "count" : 1 }
edit: mongoose wise same may hold
const mongoose = require('mongoose')
mongoose.connect('mongodb://localhost:27017/dummy')
const UDate = mongoose.model('X', { createdAt:String, user_id: String }, 'dummy')
;(async()=>{
mongoose.set('debug', true)
const group = {$group:{_id:{$substr:['$createdAt', 0, 10]}, count:{$sum:1}}}
const v = await UDate.aggregate([group])
console.log('s : ', JSON.stringify(v))
mongoose.disconnect()
})()
edit2:要处理用户id的唯一性,因此每个日期不会计数两次,您可以使用$addToSet代替sum,然后使用$size
的投影
const group = {$group:{_id:{$substr:['$createdAt', 0, 10]}, userIds:{$addToSet:'$user_id'}}}
const count = {$project:{date:'$_id', count: {$size: '$userIds'}} }
const v = await Stock.aggregate([group, count])
最后,如果你总是感觉更多,你可以"重命名"。_id字段作为投影期间的日期
{$project:{date:'$_id', _id:0, count: {$size: '$userIds'}} }
$gorup
通过createdAt
日期获取$substr
的子字符串,并在$addToset
的基础上生成唯一的用户id数组- 使用
$size
获取count
数组中的总元素
db.collection.aggregate([
{
$group: {
_id: { $substr: ["$createdAt", 0, 10] },
count: { $addToSet: "$user_id" }
}
},
{ $addFields: { count: { $size: "$count" } } }
])
游乐场