我是mongodb的新手。你能告诉我如何在这里面执行join操作吗?我有两个集合:
Collection 1 ("user")
{
_id: "d04d53dc-fb88-433e-a1c5-dd41a68d7655",
userName: "XYZ User",
age: 12
}
Collection 2 ("square")
{
_id: "ef6f6ac2-a08a-4f68-a63c-0b4a70285427",
userId: "d04d53dc-fb88-433e-a1c5-dd41a68d7655",
side: 4,
area: 16
}
现在我想从集合2中检索数据,如下所示。预期的输出:
{
_id: "ef6f6ac2-a08a-4f68-a63c-0b4a70285427",
userId: "d04d53dc-fb88-433e-a1c5-dd41a68d7655",
userName: "XYZ User",
side: 4,
area: 16
}
Thanks in advance:)
有一种方法。
db.square.aggregate([
{
"$lookup": {
"from": "user",
"localField": "userId",
"foreignField": "_id",
"as": "userDoc"
}
},
{
"$set": {
"userName": {
"$first": "$userDoc.userName"
}
}
},
{ "$unset": "userDoc" }
])
在mongoplayground.net上试试。
可以保留第二个文档中的第一个documentid (_id)作为userId作为参考,之后可以使用MongoDB 3.2及以后版本支持的join特性。可以通过使用聚合查询来使用连接。你可以使用下面的例子:
db.user.aggregate([
// Join with square table
{
$lookup:{
from: "square", // other table name
localField: "_id", // name of user table field
foreignField: "userId", // name of square table field
as: "square" // alias for userinfo table
}
},
{ $unwind:"$user_info" }, // $unwind used for getting data in object or for one record only
// define some conditions here
{
$match:{
$and:[{"userName" : "XYZ User"}]
}
},
// define which fields are you want to fetch
{
$project:{
_id: 1,
userId: "$square.userId",
userName: 1,
side: "$square.side",
area: "$square.area"
}
}
]);
结果将是
{
_id: "ef6f6ac2-a08a-4f68-a63c-0b4a70285427",
userId: "d04d53dc-fb88-433e-a1c5-dd41a68d7655",
userName: "XYZ User",
side: 4,
area: 16
}
欢呼