如何在 mongodb 中使用 $lookup 加入多个集合
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How to join multiple collections with $lookup in mongodb
提问by Siva M
I want to join more than two collections in MongoDB using the aggregate $lookup
. Is it possible to join? Give me some examples.
我想使用聚合在 MongoDB 中加入两个以上的集合$lookup
。可以加入吗?给我一些例子。
Here I have three collections:
这里我有三个集合:
users
:
users
:
{
"_id" : ObjectId("5684f3c454b1fd6926c324fd"),
"email" : "[email protected]",
"userId" : "AD",
"userName" : "admin"
}
userinfo
:
userinfo
:
{
"_id" : ObjectId("56d82612b63f1c31cf906003"),
"userId" : "AD",
"phone" : "0000000000"
}
userrole
:
userrole
:
{
"_id" : ObjectId("56d82612b63f1c31cf906003"),
"userId" : "AD",
"role" : "admin"
}
回答by Amit Kumar
The join feature supported by Mongodb 3.2and later versions. You can use joins by using aggregatequery.
You can do it using below example :
Mongodb 3.2及以后版本支持的join特性。您可以通过使用聚合查询来使用连接。
您可以使用以下示例进行操作:
db.users.aggregate([
// Join with user_info table
{
$lookup:{
from: "userinfo", // other table name
localField: "userId", // name of users table field
foreignField: "userId", // name of userinfo table field
as: "user_info" // alias for userinfo table
}
},
{ $unwind:"$user_info" }, // $unwind used for getting data in object or for one record only
// Join with user_role table
{
$lookup:{
from: "userrole",
localField: "userId",
foreignField: "userId",
as: "user_role"
}
},
{ $unwind:"$user_role" },
// define some conditions here
{
$match:{
$and:[{"userName" : "admin"}]
}
},
// define which fields are you want to fetch
{
$project:{
_id : 1,
email : 1,
userName : 1,
userPhone : "$user_info.phone",
role : "$user_role.role",
}
}
]);
This will give result like this:
这将给出如下结果:
{
"_id" : ObjectId("5684f3c454b1fd6926c324fd"),
"email" : "[email protected]",
"userName" : "admin",
"userPhone" : "0000000000",
"role" : "admin"
}
Hope this will help you or someone else.
希望这会帮助你或其他人。
Thanks
谢谢
回答by Derek
You can actually chain multiple $lookup stages. Based on the names of the collections shared by profesor79, you can do this :
您实际上可以链接多个 $lookup 阶段。根据 profesor79 共享的集合名称,您可以执行以下操作:
db.sivaUserInfo.aggregate([
{
$lookup: {
from: "sivaUserRole",
localField: "userId",
foreignField: "userId",
as: "userRole"
}
},
{
$unwind: "$userRole"
},
{
$lookup: {
from: "sivaUserInfo",
localField: "userId",
foreignField: "userId",
as: "userInfo"
}
},
{
$unwind: "$userInfo"
}
])
This will return the following structure :
这将返回以下结构:
{
"_id" : ObjectId("56d82612b63f1c31cf906003"),
"userId" : "AD",
"phone" : "0000000000",
"userRole" : {
"_id" : ObjectId("56d82612b63f1c31cf906003"),
"userId" : "AD",
"role" : "admin"
},
"userInfo" : {
"_id" : ObjectId("56d82612b63f1c31cf906003"),
"userId" : "AD",
"phone" : "0000000000"
}
}
Maybe this could be considered an anti-pattern because MongoDB wasn't meant to be relational but it is useful.
也许这可以被认为是一种反模式,因为 MongoDB 并不意味着是关系型的,但它很有用。
回答by profesor79
According to the documentation, $lookup can join only one external collection.
根据文档,$lookup 只能加入一个外部集合。
What you could do is to combine userInfo
and userRole
in one collection, as provided example is based on relational DB schema. Mongo is noSQL database - and this require different approach for document management.
您可以做的是组合userInfo
并userRole
在一个集合中,因为提供的示例基于关系数据库模式。Mongo 是 noSQL 数据库 - 这需要不同的文档管理方法。
Please find below 2-step query, which combines userInfo with userRole - creating new temporary collection used in last query to display combined data. In last query there is an option to use $out and create new collection with merged data for later use.
请在下面找到两步查询,它结合了 userInfo 和 userRole - 创建在上次查询中使用的新临时集合以显示组合数据。在最后一个查询中,有一个选项可以使用 $out 并使用合并的数据创建新集合以供以后使用。
create collections
创建集合
db.sivaUser.insert(
{
"_id" : ObjectId("5684f3c454b1fd6926c324fd"),
"email" : "[email protected]",
"userId" : "AD",
"userName" : "admin"
})
//"userinfo"
db.sivaUserInfo.insert(
{
"_id" : ObjectId("56d82612b63f1c31cf906003"),
"userId" : "AD",
"phone" : "0000000000"
})
//"userrole"
db.sivaUserRole.insert(
{
"_id" : ObjectId("56d82612b63f1c31cf906003"),
"userId" : "AD",
"role" : "admin"
})
"join" them all :-)
“加入”他们所有人:-)
db.sivaUserInfo.aggregate([
{$lookup:
{
from: "sivaUserRole",
localField: "userId",
foreignField: "userId",
as: "userRole"
}
},
{
$unwind:"$userRole"
},
{
$project:{
"_id":1,
"userId" : 1,
"phone" : 1,
"role" :"$userRole.role"
}
},
{
$out:"sivaUserTmp"
}
])
db.sivaUserTmp.aggregate([
{$lookup:
{
from: "sivaUser",
localField: "userId",
foreignField: "userId",
as: "user"
}
},
{
$unwind:"$user"
},
{
$project:{
"_id":1,
"userId" : 1,
"phone" : 1,
"role" :1,
"email" : "$user.email",
"userName" : "$user.userName"
}
}
])