Given a list of documents like:
[
{
_id: 1,
field: {
subfield1: {
subsubfield1: [
"value",
"test"
]
},
subfield2: {
subsufield2: [
"value"
]
}
},
paths: [
"field.subfield1.subsubfield1",
"field.subfield2.subsubfield2"
]
},
{
_id: 2,
field: {
subfield1: {
subsubfield1: [
"value"
]
},
subfield2: {
subsufield2: [
"value",
"test"
]
}
},
paths: [
"field.subfield2.subsubfield2"
]
},
{
_id: 3,
field: {
subfield1: {
subsubfield1: [
"value"
]
},
subfield2: {
subsufield2: [
"value"
]
}
},
paths: [
"field.subfield1.subsubfield1"
]
},
{
_id: 4,
field: {
subfield1: {
subsubfield1: [
"value"
]
},
subfield2: {
subsufield2: [
"value"
]
}
},
paths: [
"field.subfield1.subsubfield1"
"field.subfield2.subsubfield2"
]
}
]
in which paths
field is an array with paths to document. I have to return documents that have test
as a value in at least one of the paths specified in the paths
array. For example, the documents with _id
1 and _id
2 would be returned, because at least one of the values in paths
is a path in the document with value test
. Documents with _id
3 and _id
4 are not returned since no element of paths
is a path in the document that has value test
.
EDIT: since OP updated the assumption that the field is always nested in 3 levels. This actually simplify the scenario, and thus the aggregation pipeline.
$objectToArray
to parse the field
object as an array of k-v tuple, named parsed
$map
to iterate through the parsed
arrayk
to append the field.
as prefix$match
only if any element in parsed
array are inside the paths
array and have value test
db.collection.aggregate([
{
"$set": {
"parsed": {
"$map": {
"input": {
"$objectToArray": "$field"
},
"as": "kv",
"in": {
k: {
"$concat": [
"field",
".",
"$$kv.k"
]
},
v: "$$kv.v"
}
}
}
}
},
{
"$set": {
"parsed": {
"$reduce": {
"input": "$parsed",
"initialValue": [],
"in": {
"$concatArrays": [
"$$value",
{
"$map": {
"input": {
"$objectToArray": "$$this.v"
},
"as": "kv",
"in": {
k: {
"$concat": [
"$$this.k",
".",
"$$kv.k"
]
},
v: "$$kv.v"
}
}
}
]
}
}
}
}
},
{
"$match": {
"$expr": {
"$anyElementTrue": {
"$map": {
"input": "$parsed",
"as": "p",
"in": {
//1. matching
"$and": [
// 1.1 matching path
{
"$in": [
"$$p.k",
"$paths"
]
},
// 1.2 matching value "test"
{
"$in": [
"test",
"$$p.v"
]
}
]
}
}
}
}
}
}
])