Hi have a document in the format :
{
\"_id\":\"someId\",
\"someArray\":[
{
\"subId\":1,
\"subArray\":[
{
You just need a $filter inside a $map:
db.junk.aggregate([
{ "$project": {
"someArray": {
"$filter": {
"input": {
"$map": {
"input": "$someArray",
"as": "some",
"in": {
"subId": "$$some.subId",
"subArray": {
"$filter": {
"input": "$$some.subArray",
"as": "sub",
"cond": { "$ne": [ "$$sub.filterMe", "YES" ] }
}
}
}
}
},
"as": "some",
"cond": { "$gt": [ { "$size": "$$some.subArray" }, 0 ] }
}
}
}}
])
Produces:
{
"_id" : "someId",
"someArray" : [
{
"subId" : 1,
"subArray" : [
{
"field1" : "A",
"filterMe" : "NO"
}
]
},
{
"subId" : 2,
"subArray" : [
{
"field1" : "D",
"filterMe" : "NO"
}
]
}
]
}
I actually wrap that in an additional $filter to remove any someArray
entries where the filtered subArray
ended up being empty as a result. Mileage may vary on that being what you want to do.