mongo $unwind and $group - mongodb

Question

I have two collections. One of which I wish to add a reference to the other and have it populated on return.
Here is an example json I am trying to achieve as the result:
{
"title": "Some Title",
"uid": "some-title",
"created_at": "1412159926",
"updated_at": "1412159926",
"id": "1",
"metadata": {
"date": "2016-10-17",
"description": "a description"
},
"tags": [
{
"name": "Tag 1",
"uid": "tag-1"
},
{
"name": "Tag 2",
"uid": "tag-2"
},
{
"name": "Tag 3",
"uid": "tag-3"
}
]
}
Here is the mongo query I have which gets my close, but it nests the original body of the item within the _id object.
db.tracks.aggregate([{
$unwind: "$tags"
}, {
$lookup: {
from: "tags",
localField: "tags",
foreignField: "_id",
as: "tags"
}
}, {
$unwind: "$tags"
}, {
$group: {
"_id": {
"title": "$title",
"uid": "$uid",
"metadata": "$metadata"
},
"tags": {
"$push": "$tags"
}
}
}])
So the result is this:
{
"_id" : {
"title" : "Some Title",
"uid" : "some-title",
"metadata" : {
"date" : "2016-10-17",
"description" : "a description"
}
},
"tags" : [
{
"_id" : ObjectId("580499d06fe29ce7093fb53a"),
"name" : "Tag 1",
"uid" : "tag-1"
},
{
"_id" : ObjectId("580499d06fe29ce7093fb53b"),
"name" : "Tag 2",
"uid" : "tag-2"
}
]
}
Is there a way to achieve the desired output? Also is there a way to not have to define in the $group all the fields which I wish to return, I would like to return the original Object but with the referenced documents in the tags array.

Answer 1

Since you had initially pivoted your original documents on the tags array field which means the documents will be denormalized, your $group pipeline should
use the _id field as its _id key and access the other fields using the $first or $last operator.
The group pipeline operator is similar to the SQL's GROUP BY clause. In SQL, you can't use GROUP BY unless you use any of the aggregation functions. The same way, we have to use an aggregation function in MongoDB as well, so unfortunately there is no other way of not having to define in the $group pipeline all the fields which you wish to return apart from using the $first or $last operator on each field:
db.tracks.aggregate([
{ "$unwind": "$tags" },
{
"$lookup": {
"from": "tags",
"localField": "tags",
"foreignField": "_id",
"as": "resultingArray"
}
},
{ "$unwind": "$resultingArray" },
{
"$group": {
"_id": "$_id",
"title": { "$first": "$title" },
"uid": { "$first": "$uid" },
"created_at": { "$first": "$created_at" },
"updated_at": { "$first": "$updated_at" },
"id": { "$first": "$id" },
"metadata": { "$first": "$metadata" },
"tags": { "$push": "$resultingArray" }
}
}
])
One trick I always use whenever I want to debug a pipeline that's giving unexpected results is to run the aggregation with just the first pipeline operator. If that gives the expected result, add the next.
In the answer above, you'd first try aggregating just the $unwind; if that works, add the $lookup. This can help you narrow down which operator is causing issues. In this case, you could run the pipeline with just the first three steps since you believe the $group is the one causing issues and then inspect the resulting documents from that pipeline:
db.tracks.aggregate([
{ "$unwind": "$tags" },
{
"$lookup": {
"from": "tags",
"localField": "tags",
"foreignField": "_id",
"as": "resultingArray"
}
},
{ "$unwind": "$resultingArray" }
])
which yields the output
/* 1 */
{
"_id" : ObjectId("5804a6c900ce8cbd028523d9"),
"title" : "Some Title",
"uid" : "some-title",
"created_at" : "1412159926",
"updated_at" : "1412159926",
"id" : "1",
"metadata" : {
"date" : "2016-10-17",
"description" : "a description"
},
"resultingArray" : {
"name" : "Tag 1",
"uid" : "tag-1"
}
}
/* 2 */
{
"_id" : ObjectId("5804a6c900ce8cbd028523d9"),
"title" : "Some Title",
"uid" : "some-title",
"created_at" : "1412159926",
"updated_at" : "1412159926",
"id" : "1",
"metadata" : {
"date" : "2016-10-17",
"description" : "a description"
},
"resultingArray" : {
"name" : "Tag 2",
"uid" : "tag-2"
}
}
/* 3 */
{
"_id" : ObjectId("5804a6c900ce8cbd028523d9"),
"title" : "Some Title",
"uid" : "some-title",
"created_at" : "1412159926",
"updated_at" : "1412159926",
"id" : "1",
"metadata" : {
"date" : "2016-10-17",
"description" : "a description"
},
"resultingArray" : {
"name" : "Tag 3",
"uid" : "tag-3"
}
}
From inspection you will see that for each input document, the last pipeline outputs 3 documents where 3 is the number of array elements in the computed field resultingArray and they all have a common _id and the other fields with the exception of the resultingArray field which is different, thus you get your desired results by adding a pipeline that groups the documents by the _id field and subsequently getting the other fields with $first or $last operator, as in the given solution:
db.tracks.aggregate([
{ "$unwind": "$tags" },
{
"$lookup": {
"from": "tags",
"localField": "tags",
"foreignField": "_id",
"as": "resultingArray"
}
},
{ "$unwind": "$resultingArray" },
{
"$group": {
"_id": "$_id",
"title": { "$first": "$title" },
"uid": { "$first": "$uid" },
"created_at": { "$first": "$created_at" },
"updated_at": { "$first": "$updated_at" },
"id": { "$first": "$id" },
"metadata": { "$first": "$metadata" },
"tags": { "$push": "$resultingArray" }
}
}
])