Dear MongoDb Experts out there. I am new to Mongo and I am currently working with a MongoDb with Java.
Having a MongoDb with a collection called "teams" with the following example structure:
{[
{
"id": "123",
"name": "Dev1",
"employees": [
{"name": "John", "age": 30},
{"name": "Jane", "age": 30}
]
},
{
"id": "456",
"name": "Dev2",
"employees": [
{"name": "Mike", "age": 30},
{"name": "Oscar", "age": 27}
]
}
]}
I want to have a query which returns an array with all employees, that are 30 years old. So the expected result would be:
{[
{"name": "John", "age": 30},
{"name": "Jane", "age": 30},
{"name": "Mike", "age": 30}
]}
It would be even better to only get the employees name (since I know the age I searched for), like:
{[
{"name": "John"},
{"name": "Jane"},
{"name": "Mike"}
]}
I have a MongoCollection object:
MongoCollection<Document> collection = mongoClient
.getDatabase(databaseName)
.getCollection("teams")
My question: Is it possible to retrieve my expected result from the MongoDb? If so, which operations do I have to call on my collection object?
Approach 1: Find with $elemMatch projection
db.getCollection('teams').find(
{"employees.age":30},
{ "employees": { "$elemMatch": { "age": 30 } },"_id":0 }
)
Output Format:
{
"employees" : [
{
"name" : "John",
"age" : 30.0
}
]
}
{
"employees" : [
{
"name" : "Mike",
"age" : 30.0
}
]
}
Approach 2: Aggregate with $unwind and key renaming using $projection
db.getCollection('teams').aggregate([
{"$match": {"employees.age":30}} ,
{"$unwind": "$employees"},
{"$match": {"employees.age":30}} ,
{"$project": {"name": "$employees.name","_id":0}}
])
Output format:
{
"name" : "John"
}
{
"name" : "Jane"
}
{
"name" : "Mike"
}
Approach 1 would be faster, but require additional work at app layer. It is recommended to offload formatting tasks to app servers rather than on db itself.
Approach 2 can instantly give to the formatted results, doing the querying and formatting both in the database servers
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