Nag*_* ks 6 mongodb nosql mongodb-query aggregation-framework
过去两天学习MongoDB,我试图聚合三个集合,但无法实现它
以下是数据库中维护的四个集合
大学
{
"_id" : "5834ecf7432d92675bde9d82",
"name": "NIFT"
}
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学院
{
"_id" : "5834ecf7432d92675bde9d83",
"name": "NIFT Hyderabad",
"university_id":"5834ecf7432d92675bde9d82"
}
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部门
{
"_id" : "5834ecf7432d92675bde9d84",
"department_name": "Fashion Technology",
"college_id" : "5834ecf7432d92675bde9d83"
},
{
"_id" : "5834ecf7432d92675bde9d85",
"department_name": "Merchandising",
"college_id" : "5834ecf7432d92675bde9d83"
}
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第
{
"_id" : "5834ecf7432d92675bde9d86",
"section_name": "A",
"students" : "56",
"department_id":"5834ecf7432d92675bde9d84"
},
{
"_id" : "5834ecf7432d92675bde9d87",
"section_name": "B",
"students" : "60",
"department_id":"5834ecf7432d92675bde9d84"
},
{
"_id" : "5834ecf7432d92675bde9d86",
"section_name": "A",
"students" : "55",
"department_id":"5834ecf7432d92675bde9d85"
},
{
"_id" : "5834ecf7432d92675bde9d87",
"section_name": "B",
"students" : "44",
"department_id":"5834ecf7432d92675bde9d85"
}
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在这里,我试图以下面的格式实现输出
预期产出
[{
"_id": "5834ecf7432d92675bde9d83",
"name": "NIFT Hyderabad",
"university_id": "5834ecf7432d92675bde9d82",
"departments": [{
"_id": "5834ecf7432d92675bde9d84",
"department_name": "CSE",
"college_id": "5834ecf7432d92675bde9d83",
"sections": [{
"_id": "5834ecf7432d92675bde9d86",
"section_name": "A",
"students": "56",
"department_id": "5834ecf7432d92675bde9d84"
}, {
"_id": "5834ecf7432d92675bde9d87",
"section_name": "B",
"students": "60",
"department_id": "5834ecf7432d92675bde9d84"
}]
},
{
"_id": "5834ecf7432d92675bde9d85",
"department_name": "Mechanical",
"college_id": "5834ecf7432d92675bde9d83",
"sections": [{
"_id": "5834ecf7432d92675bde9d86",
"section_name": "A",
"students": "55",
"department_id": "5834ecf7432d92675bde9d85"
},
{
"_id": "5834ecf7432d92675bde9d87",
"section_name": "B",
"students": "44",
"department_id": "5834ecf7432d92675bde9d85"
}
]
}
]
}]
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但是,我在大学的单独阵列中获得了部门和部分,但是无法以上述格式获得
询问
db.college.aggregate([
{"$match": { "university_id": "5834ecf7432d92675bde9d82" } },
{"$lookup": {
"localField": "_id",
"from": "departments",
"foreignField": "college_id",
"as": "departments"
}},
{"$unwind":"$departments"},
{$group : {_id : "$_id", departments : {$push : "$departments" }}},
{"$lookup": {
"localField": "departments._id",
"from": "sections",
"foreignField": "department_id",
"as": "sections"}
}
])
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任何人都可以帮我解决这个问题,对我来说非常有帮助.
您可以尝试下面的聚合查询。
下面的查询将它们加入时推sections入department,并$group推入部门以创建最终结构。
db.college.aggregate([
{
"$match": {
"university_id": "5834ecf7432d92675bde9d82"
}
},
{
"$lookup": {
"localField": "_id",
"from": "departments",
"foreignField": "college_id",
"as": "departments"
}
},
{
"$unwind": {
"path": "$departments",
"preserveNullAndEmptyArrays": true
}
},
{
"$lookup": {
"localField": "departments._id",
"from": "sections",
"foreignField": "department_id",
"as": "departments.sections"
}
},
{
"$group": {
"_id": "$_id",
"name": {
"$first": "$name"
},
"university_id": {
"$first": "$university_id"
},
"departments": {
"$push": "$departments"
}
}
}
])
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