I have the following document
{
"userid": "5a88389c9108bf1c48a1a6a7",
"email": "[email protected]",
"lastName": "abc",
"firstName": "xyz",
"__v": 0,
"friends": [{
"userid": "5a88398b9108bf1c48a1a6a9",
"ftype": "SR",
"status": "ACCEPT",
"_id": ObjectId("5a9585b401ef0033cc8850c7")
},
{
"userid": "5a88398b9108bf1c48a1a6a91111",
"ftype": "SR",
"status": "ACCEPT",
"_id": ObjectId("5a9585b401ef0033cc8850c71111")
},
{
"userid": "5a8ae0a20df6c13dd81256e0",
"ftype": "SR",
"status": "pending",
"_id": ObjectId("5a9641fbbc9ef809b0f7cb4e")
}]
},
{
"userid": "5a88398b9108bf1c48a1a6a9",
"friends": [{ }],
"lastName": "123",
"firstName": "xyz",
.......
},
{
"userid": "5a88398b9108bf1c48a1a6a91111",
"friends": [{ }],
"lastName": "456",
"firstName": "xyz",
...
}
- First Query
Here I want to get userId from friends array ,which having status equals to "ACCEPT". ie
[5a88398b9108bf1c48a1a6a9,5a88398b9108bf1c48a1a6a91111]
- Second Query
After that, I have to make another query on the same collection to get details of each userid returned in the first query.
final Query will return details of [5a88398b9108bf1c48a1a6a9,5a88398b9108bf1c48a1a6a91111]
both userid ie
[
{
userid" : "5a88398b9108bf1c48a1a6a9",
"lastName" : "123",
"firstName" : "xyz"
},
{
"userid" : "5a88398b9108bf1c48a1a6a91111",
"lastName" : "456",
"firstName" : "xyz"
}
]
I have tried so far with
Users.find ({'_id':5a88389c9108bf1c48a1a6a7,"friends.status":'ACCEPT'}, (error, users) => {})
or
Users.find ({'_id':5a88389c9108bf1c48a1a6a7, friends: { $elemMatch: { status: 'ACCEPT' } } }, (error, users) => {})
CodePudding user response:
Use the aggregation framework's $map
and $filter
operators to handle the task. $filter
will filter the friends array based on the specified condition that the status should equal "ACCESS"
and $map
will transform the results from the filtered array to the desired format.
For the second query, append a $lookup
pipeline step which does a self-join on the users collection to retrieve the documents which match the ids from the previous pipeline.
Running the following aggregate operation will produce the desired array:
User.aggregate([
{ "$match": { "friends.status": "ACCEPT" } },
{ "$project": {
"users": {
"$map": {
"input": {
"$filter": {
"input": "$friends",
"as": "el",
"cond": { "$eq": ["$$el.status", "ACCEPT"] }
}
},
"as": "item",
"in": "$$item.userid"
}
}
} },
{ "$lookup": {
"from": "users",
"as": "users",
"localField": "users",
"foreignField": "userid"
} },
]).exec((err, results) => {
if (err) throw err;
console.log(results[0].users);
});
CodePudding user response:
I did not test it. just for an idea, give it a try and let me know.
db.Users.aggregate(
[
{
$unwind: "$friends"
},
{
$match:{ "$friends.status": "ACCEPT"}
},
{
$project:{ "FriendUserID":"$friends.userid"}
},
{
$lookup:{
from:"Users",
as: "FriendsUsers",
localField: "FriendUserID",
foreignField: "userid"
}
},
{
$project: { FriendsUsers.lastName:1,FriendsUsers.firstName:1 }
}
]
)
CodePudding user response:
filtering nested elements
const products = await Product.aggregate<ProductDoc>([
{
$match: {
userId: data.id,
},
},
{
$project: {
promotions: {
$filter: {
input: '$promotions',
as: 'p',
cond: {
$eq: ['$$p.status', PromotionStatus.Started],
},
},
},
userId: 1,
name: 1,
thumbnail: 1,
},
},
]);
for multiple condition
cond: {
$and: [
{
$eq: [
"$$c.product",
"37sd87hjsdj3"
]
},
{
$eq: [
"$$c.date",
"date-jan-4-2022"
],
}
]
},