Filter nested array in mongodb? [duplicate] - mongodb

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This question already has answers here:
Find in Double Nested Array MongoDB
(2 answers)
Closed 4 years ago.
I have a document that looks like so:
{
"_id": {
"$oid": "5b1586ccf0c56353e89d330b"
},
"address": {
"street": "123 Street",
"address2": "Address 2",
"city": "Some City",
"state": "MI",
"zip": "12345"
},
"subs": [
{
"invoices": [
{
"address": {
"street": "3061 Pine Ave SW",
"city": "Grandville",
"state": "AK",
"zip": "49418"
},
"lineItem": [
{
"images": [
{
"_id": {
"$oid": "5b1fca54e6ee1d80c463612d"
},
"name": "1528810066348_RSA Logo.jpeg",
"url": "https....",
"uploadDate": {
"$date": "2018-06-12T13:27:46.931Z"
},
"size": 91819
}
],
"_id": {
"$oid": "5b1fca54e6ee1d80c463612c"
},
"desc": "2",
"amt": 2
}
],
"_id": {
"$oid": "5b1fca54e6ee1d80c463612b"
}
}
],
"_id": {
"$oid": "5b1fc7f23b595481d4599f58"
},
"email": "a#a.com",
"scope": "Roof",
},
{
"invoices": [
{
"address": {
"street": "3061 Pine Ave SW",
"city": "Grandville",
"state": "AL",
"zip": "49418"
},
"lineItem": [
{
"images": [
{
"_id": {
"$oid": "5b1fca2fe6ee1d80c463612a"
},
"name": "1528810029700_RSA Stamp.png",
"url": "https....",
"uploadDate": {
"$date": "2018-06-12T13:27:10.403Z"
},
"size": 238113
}
],
"_id": {
"$oid": "5b1fca2fe6ee1d80c4636129"
},
"desc": "1",
"amt": 1
}
],
"_id": {
"$oid": "5b1fca2fe6ee1d80c4636128"
}
},
{
"address": {
"street": "3061 Pine Ave SW",
"city": "Grandville",
"state": "AL",
"zip": "49418"
},
"lineItem": [
{
"images": [
{
"_id": {
"$oid": "5b1fd05b0d1f7185e02e9c40"
},
"name": "1528811607099_error page.PNG",
"url": "https....",
"uploadDate": {
"$date": "2018-06-12T13:53:28.080Z"
},
"size": 224772
}
],
"_id": {
"$oid": "5b1fd05b0d1f7185e02e9c3f"
},
"desc": "3",
"amt": 3
}
],
"_id": {
"$oid": "5b1fd05b0d1f7185e02e9c3e"
}
}
],
"_id": {
"$oid": "5b1fc7f23b595481d4599f55"
},
"email": "b#b.com",
"scope": "Siding",
}
],
"firstName": "",
"lastName": "",
}
My issue is that I want to be able to access a specific invoices of a specific subs.
I am new to Mongo/Mongoose so it is possible I am doing something completely wrong and I would be more than happy with any answer/criticism on how I am approaching this.
-- tweaked answer --
Job.aggregate([
{
$match: {
"_id": mongoose.Types.ObjectId(req.body.jobID)
}
},
{
$unwind: "$subs"
},
{
$match: {
"subs._id": mongoose.Types.ObjectId(req.body.subID)
}
},
{
$unwind: "$subs.invoices"
},
{
$match: {
"subs.invoices._id": mongoose.Types.ObjectId(req.body.invID)
}
},
{
$project: {
"_id": 1,
"subs.invoices": 1
}
}
], function(err, job) {
if (err) throw err;
res.send(job);
});

Answer 1

You can try below aggregation...
Here this is a long process of deconstructing an array using $unwind and rebuild the array using $group
db.collection.aggregate([
{ "$match": { "_id": "1111" } },
{ "$unwind": "$subs" },
{ "$match": { "subs._id": "2222" } },
{ "$unwind": "$subs.invoices" },
{ "$match": { "subs.invoices._id": "3333" } },
{ "$group": {
"_id": {
"_id": "$_id",
"subs": "$subs._id"
},
"firstName": { "$first": "$firstName" },
"lastName": { "$first": "$lastName" },
"address": { "$first": "$address" },
"subs": {
"$first": {
"_id": "$subs._id",
"email": "$subs.email",
"venue": "$subs.venue",
"scope": "$subs.scope"
}
},
"invoices": { "$push": "$subs.invoices" }
}},
{ "$group": {
"_id": "$_id._id",
"firstName": { "$first": "$firstName" },
"lastName": { "$first": "$lastName" },
"address": { "$first": "$address" },
"subs": {
"$push": {
"_id": "$subs._id",
"email": "$subs.email",
"venue": "$subs.venue",
"scope": "$subs.scope",
"invoices": "$invoices"
}
}
}}
])
Or you can do this with $filter aggregation as well
db.collection.aggregate([
{ "$match": { "_id": "5b1586ccf0c56353e89d330b" }},
{ "$unwind": "$subs" },
{ "$match": { "subs._id": "5b1fc7f23b595481d4599f58" }},
{ "$project": {
"address": 1, "firstName": 1, "lastName": 1,
"subs.type": "$subs._id",
"subs.status": "$subs.email",
"subs.code": "$subs.scope",
"subs.invoices": {
"$filter": {
"input": "$subs.invoices",
"as": "invoice",
"cond": {
"$eq": [
"$$invoice._id",
"5b1fca54e6ee1d80c463612b"
]
}
}
}
}},
{ "$group": {
"_id": "$_id",
"address": { "$first": "$address" },
"firstName": { "$first": "$firstName" },
"lastName": { "$first": "$lastName" },
"subs": { "$push": "$subs" }
}}
])