For denne slags situation,$facet
hjælpe med at kategorisere de indgående data
db.Collection_A.aggregate([
{ $unwind: "$includes },
{
"$facet": {
"joinB": [
{
"$lookup": {
"from": "Collection_B", "localField": "includes.includes_id",
"foreignField": "_id", "as": "includes.includes_list"
}
},
{
"$group": {
"_id": "$_id",
"name": { "$first": "$name" },
includes: { $push: "$includes" }
}
}
],
"joinC": [
{
"$lookup": {
"from": "Collection_C", "localField": "includes.includes_id",
"foreignField": "_id", "as": "includes.includes_list"
}
},
{
"$group": {
"_id": "$_id",
"name": { "$first": "$name" },
includes: { $push: "$includes" }
}
}
],
"joinD": [
{
"$lookup": {
"from": "Collection_D", "localField": "includes.includes_id",
"foreignField": "_id", "as": "includes.includes_list"
}
},
{
"$group": {
"_id": "$_id",
"name": { "$first": "$name" },
includes: { $push: "$includes" }
}
}
],
}
},
{
$project: {
combined: {
"$concatArrays": [ "$joinB", "$joinC", "$joinD" ]
}
}
},
{ "$unwind": "$combined" },
{
"$replaceRoot": { "newRoot": "$combined" }
},
{
"$project": {
_id: 1,
name: 1,
includes: {
$filter: {
input: "$includes",
cond: {
$ne: [ "$$this.includes_list",[] ]
}
}
}
}
}
])
Arbejd Mongo legeplads
Bemærk:Jeg føler, at dette er en slags anti-mønster, du følger. Hvis du er i den tidlige fase af projektet, må du hellere ændre strukturen, hvis jeg ikke tager fejl.