Da du har indlejrede arrays, skal du anvende $unwind
operatør først for at denormalisere de indlejrede dokumenter, før du bruger $lookup
pipeline (medmindre du allerede har udjævnet dem i din aggregeringsoperation):
db.personaddress.aggregate([
{ "$unwind": "$address" },
{ "$unwind": "$address.location" },
{
"$lookup": {
"from": "places",
"localField": "address.location.place._id",
"foreignField": "_id",
"as": "address.location.place",
}
}
])
som derefter kan implementeres som (utestet):
LookupOperation lookupOperation = LookupOperation.newLookup()
.from("places")
.localField("address.location.place._id")
.foreignField("_id")
.as("address.location.place");
Aggregation agg = newAggregation(
unwind("address"),
unwind("address.location"),
lookupOperation
);
AggregationResults<OutputDocument> aggResults = mongoTemplate.aggregate(
agg, PersonAddressDocument.class, OutputDocument.class
);
Hvis din Spring Data-version ikke understøtter dette, er en løsning at implementere AggregationOperation grænseflade til at tage et DBObject
ind :
public class CustomGroupOperation implements AggregationOperation {
private DBObject operation;
public CustomGroupOperation (DBObject operation) {
this.operation = operation;
}
@Override
public DBObject toDBObject(AggregationOperationContext context) {
return context.getMappedObject(operation);
}
}
Implementer derefter $lookup
drift som et DBO-objekt i aggregeringspipelinen:
DBObject lookupOperation = (DBObject)new BasicDBObject(
"$lookup", new BasicDBObject("from", "places")
.append("localField", "address.location.place._id")
.append("foreignField", "_id")
.append("as", "address.location.place")
);
som du derefter kan bruge som:
Aggregation agg = newAggregation(
unwind("address"),
unwind("address.location"),
lookupOperation
);
AggregationResults<OutputDocument> aggResults = mongoTemplate.aggregate(
agg, PersonAddressDocument.class, OutputDocument.class
);