MongoDb 创建聚合 创建查询
MongoDb Create Aggregate Create query
我有 3 个 table 用户,班次,临时班次,
shifts:[{_id:ObjectId(2222),name:"Morning"},{_id:ObjectId(454),name:"Night"}]
users:[{_id:ObjectId(123),name:"Albert",shift_id:ObjectId(2222)}]
temporaryShifts:[
{_id:2,userId:ObjectId(123),shiftId:ObjectId(454),type:"temporary",date:"2020-02-01"},
{_id:987,userId:ObjectId(123),shiftId:ObjectId(454),type:"temporary",date:"2020-02-03"},
{_id:945,userId:ObjectId(123),shiftId:ObjectId(454),type:"temporary",date:"2020-02-08"},
{_id:23,userId:ObjectId(123),shiftId:ObjectId(454),date:"2020-02-09"}]
我想做一个猫鼬聚合查询然后给我结果:
获取两个日期之间的结果,例如:2020-02-01 2020-02-05,
结果是:
[
{_id:ObjectId(123),name:"Albert",shift:[
{_id:2,shiftId:ObjectId(454),type:"temporary",date:"2020-02-01"},
{_id:2,shiftId:ObjectId(2222),type:"permanent",date:"2020-02-02"},
{_id:2,shiftId:ObjectId(454),type:"temporary",date:"2020-02-03"},
{_id:2,shiftId:ObjectId(2222),type:"permanent",date:"2020-02-04"},
{_id:2,shiftId:ObjectId(2222),type:"permanent",date:"2020-02-05"},
]}
]
in result type temporary 表示在 table temporaryShift document 中选择的日期 else type permanent
您可以先使用 $range
投影日期范围数组,在您的示例中,它将类似于 [2020-02-01、2020-02-02、2020-02-03、2020-02- 04, 2020-02-05],那么就可以用数组执行$lookup
db.users.aggregate([
{
$limit: 1
},
{
"$addFields": {
"startDate": ISODate("2020-02-01"),
"endDate": ISODate("2020-02-05")
}
},
{
"$addFields": {
"dateRange": {
"$range": [
0,
{
$add: [
{
$divide: [
{
$subtract: [
"$endDate",
"$startDate"
]
},
86400000
]
},
1
]
}
]
}
}
},
{
"$addFields": {
"dateRange": {
$map: {
input: "$dateRange",
as: "increment",
in: {
"$add": [
"$startDate",
{
"$multiply": [
"$$increment",
86400000
]
}
]
}
}
}
}
},
{
"$unwind": "$dateRange"
},
{
"$project": {
"name": 1,
"shiftId": 1,
"dateCursor": "$dateRange"
}
},
{
"$lookup": {
"from": "temporaryShifts",
"let": {
dateCursor: "$dateCursor",
shiftId: "$shiftId"
},
"pipeline": [
{
"$addFields": {
"parsedDate": {
"$dateFromString": {
"dateString": "$date",
"format": "%Y-%m-%d"
}
}
}
},
{
$match: {
$expr: {
$and: [
{
$eq: [
"$$dateCursor",
"$parsedDate"
]
}
]
}
}
}
],
"as": "temporaryShiftsLookup"
}
},
{
"$unwind": {
path: "$temporaryShiftsLookup",
preserveNullAndEmptyArrays: true
}
},
{
$project: {
shiftId: 1,
type: {
"$ifNull": [
"$temporaryShiftsLookup.type",
"permanent"
]
},
date: "$dateCursor"
}
}
])
这里是Mongo Playground供大家参考。
我有 3 个 table 用户,班次,临时班次,
shifts:[{_id:ObjectId(2222),name:"Morning"},{_id:ObjectId(454),name:"Night"}]
users:[{_id:ObjectId(123),name:"Albert",shift_id:ObjectId(2222)}]
temporaryShifts:[
{_id:2,userId:ObjectId(123),shiftId:ObjectId(454),type:"temporary",date:"2020-02-01"},
{_id:987,userId:ObjectId(123),shiftId:ObjectId(454),type:"temporary",date:"2020-02-03"},
{_id:945,userId:ObjectId(123),shiftId:ObjectId(454),type:"temporary",date:"2020-02-08"},
{_id:23,userId:ObjectId(123),shiftId:ObjectId(454),date:"2020-02-09"}]
我想做一个猫鼬聚合查询然后给我结果: 获取两个日期之间的结果,例如:2020-02-01 2020-02-05, 结果是:
[
{_id:ObjectId(123),name:"Albert",shift:[
{_id:2,shiftId:ObjectId(454),type:"temporary",date:"2020-02-01"},
{_id:2,shiftId:ObjectId(2222),type:"permanent",date:"2020-02-02"},
{_id:2,shiftId:ObjectId(454),type:"temporary",date:"2020-02-03"},
{_id:2,shiftId:ObjectId(2222),type:"permanent",date:"2020-02-04"},
{_id:2,shiftId:ObjectId(2222),type:"permanent",date:"2020-02-05"},
]}
]
in result type temporary 表示在 table temporaryShift document 中选择的日期 else type permanent
您可以先使用 $range
投影日期范围数组,在您的示例中,它将类似于 [2020-02-01、2020-02-02、2020-02-03、2020-02- 04, 2020-02-05],那么就可以用数组执行$lookup
db.users.aggregate([
{
$limit: 1
},
{
"$addFields": {
"startDate": ISODate("2020-02-01"),
"endDate": ISODate("2020-02-05")
}
},
{
"$addFields": {
"dateRange": {
"$range": [
0,
{
$add: [
{
$divide: [
{
$subtract: [
"$endDate",
"$startDate"
]
},
86400000
]
},
1
]
}
]
}
}
},
{
"$addFields": {
"dateRange": {
$map: {
input: "$dateRange",
as: "increment",
in: {
"$add": [
"$startDate",
{
"$multiply": [
"$$increment",
86400000
]
}
]
}
}
}
}
},
{
"$unwind": "$dateRange"
},
{
"$project": {
"name": 1,
"shiftId": 1,
"dateCursor": "$dateRange"
}
},
{
"$lookup": {
"from": "temporaryShifts",
"let": {
dateCursor: "$dateCursor",
shiftId: "$shiftId"
},
"pipeline": [
{
"$addFields": {
"parsedDate": {
"$dateFromString": {
"dateString": "$date",
"format": "%Y-%m-%d"
}
}
}
},
{
$match: {
$expr: {
$and: [
{
$eq: [
"$$dateCursor",
"$parsedDate"
]
}
]
}
}
}
],
"as": "temporaryShiftsLookup"
}
},
{
"$unwind": {
path: "$temporaryShiftsLookup",
preserveNullAndEmptyArrays: true
}
},
{
$project: {
shiftId: 1,
type: {
"$ifNull": [
"$temporaryShiftsLookup.type",
"permanent"
]
},
date: "$dateCursor"
}
}
])
这里是Mongo Playground供大家参考。