假设 orders 集合有以下记录:
[
{"_id":4,"book":"novel 1","price":30,"quantity":2},
{"_id":5,"book":"science 1","price":20,"quantity":1},
{"_id":6}
]
books 集合有以下记录:
[ {"_id":"book1","author":"author 1","category":"novel","stock":10,"time":1564456048486,"title":"novel 1"}, {"_id":"book3","author":"author 3","category":"science","stock":30,"title":"science 1"}, {"_id":"book4","author":"author 3","category":"science","stock":40,"title":"science 2"}, {"_id":"book2","author":"author 2","category":"novel","stock":20,"title":"novel 2"}, {"_id":"book5","author":"author 4","category":"science","stock":50,"title":null}, {"_id":"book6","author":"author 5","category":"novel","stock":"60"} ]
以下聚合操作可以通过一个相等匹配条件连接 orders
和 books
集合,匹配的字段是 orders
集合的 book
字段和 books
集合的 title 字段:
const db = uniCloud.database() let res = await db.collection('orders').aggregate() .lookup({ from: 'books', localField: 'book', foreignField: 'title', as: 'bookList', }) .end()
结果:
[
{
"_id": 4,
"book": "novel 1",
"price": 30,
"quantity": 2,
"bookList": [
{
"_id": "book1",
"title": "novel 1",
"author": "author 1",
"category": "novel",
"stock": 10
}
]
},
{
"_id": 5,
"book": "science 1",
"price": 20,
"quantity": 1,
"bookList": [
{
"_id": "book3",
"category": "science",
"title": "science 1",
"author": "author 3",
"stock": 30
}
]
},
{
"_id": 6,
"bookList": [
{
"_id": "book5",
"category": "science",
"author": "author 4",
"stock": 50,
"title": null
},
{
"_id": "book6",
"author": "author 5",
"stock": "60",
"category": "novel"
}
]
}
]