我是 mongoDB 的新手。也許這是一個簡單的問題。請幫我解決這個問題。
在填充值中填充的 mongo 查詢是什么?
有3個表users,bookHistory和books。我需要在所有三個中查找。
這是我需要的結構。
"userList": [
{
"_id": "NT-723DD65BE100-444B-B441-2B2804ED7348",
"name": "AMC",
"uid": "NT-723DD65BE100-444B-B441-2B2804ED7348",
"bookHistory": [
{
"_id": "SHNH-06E723698ED8-420F-AB6D-6574633F5984",
"bookStocksId": "SHNC-4559F09A7F4B-4508-9F61-2A2CD248D3F9",
"bookId": "SHN-E3AE0DB3BC7D-4214-BDAE-59140DA1F850",
"uid": "NT-723DD65BE100-444B-B441-2B2804ED7348",
"bookDetails": {
"_id": "SHN-E3AE0DB3BC7D-4214-BDAE-59140DA1F850",
"nameOfBook": "test",
"nameOfAuthor": "test authou",
}
},
{
"_id": "617e6c068bf26821f955b034",
"bookStocksId": "SHNC-694DF63AE953-40A8-B49B-71E46D0A9463",
"bookId": "SHN-5B5A2712CE88-46BF-8A5F-F01174316025",
"uid": "NT-723DD65BE100-444B-B441-2B2804ED7348",
"bookDetails": {
"_id": "SHN-5B5A2712CE88-46BF-8A5F-F01174316025",
"nameOfBook": "test",
"nameOfAuthor": "test authou",
}
}
]
}
]
- 從“用戶”表需要使用 uid 填充“bookHistory”表
- 從 bookHistory 表需要使用 bookId 填充“books”表
是否可以?我正在嘗試此代碼
const pipeline = [
{ $match: query },
{ $project: projection },
{
$lookup: {
from: 'bookHistory',
localField: 'uid',
foreignField: 'uid',
as: 'bookHistory',
}
},
];
以下是3張表的樣本資料
- 用戶表
{ "_id" : "NT-723DD65BE100-444B-B441-2B2804ED7348", "name" : "AMC", "uid" : "NT-723DD65BE100-444B-B441-2B2804ED7348", "updatedBy" : "NT-723DD65BE100-444B-B441-2B2804ED7348", "updatedOn" : ISODate("2021-10-22T02:45:31.320 0000"), }
- 書史
{ "_id" : "SHNH-F10ED64A7F98-480B-8D8F-B7587594FB10", "bookStocksId" : "SHNC-7D60FF3D3E15-4C43-AB24-7E3EA1C0D79A", "bookId" : "SHN-E3AE0DB3BC7D-4214-BDAE-59140DA1F850", "uid" : "NT-723DD65BE100-444B-B441-2B2804ED7348", "tookOn" : ISODate("2021-10-31T12:59:24.895 0000"), "dueOn" : ISODate("2021-11-07T12:59:24.895 0000"), "addedOn" : ISODate("2021-10-31T12:59:24.895 0000") }
- 書桌
{ "_id" : "SHN-E3AE0DB3BC7D-4214-BDAE-59140DA1F850", "nameOfBook" : "test", "nameOfAuthor" : "test authou", "yearOfPublication" : "1998", "publication" : "test", "addedOn" : ISODate("2021-10-27T08:39:00.147 0000") }
任何人都可以幫我解決這個問題嗎?
uj5u.com熱心網友回復:
只需在$lookupfrom bookHistorytobooks的子管道中執行另一個$lookupfrom usertobookHistory
db.user.aggregate([
{
"$lookup": {
"from": "bookHistory",
let: {
uid: "$uid"
},
pipeline: [
{
$match: {
$expr: {
$eq: [
"$$uid",
"$uid"
]
}
}
},
{
"$lookup": {
"from": "books",
"localField": "bookId",
"foreignField": "_id",
"as": "bookDetails"
}
},
{
"$unwind": "$bookDetails"
}
],
"as": "bookHistory"
}
}
])
這是Mongo 游樂場供您參考。
轉載請註明出處,本文鏈接:https://www.uj5u.com/ruanti/343585.html
標籤:数组 MongoDB 猫鼬 mongodb-查询 聚合框架
