MongoDB - count items using addToSet - mongodb

Question

I'm working with a collection called "submissions" that includes mission data for a game. Every time you submit your answer to the question/mission a document is saved to the submissions collection.
A typical document looks like this:
{
"_id" : ObjectId("5b0c99dffea598002fdb6ec9"),
"status" : "Accepted",
"missionAcceptanceDate" : NumberInt(1527526261),
"submissionDate" : NumberInt(1527552495),
"location" : "",
"approvalDate" : null,
"mission_id" : ObjectId("5b0c5b10fea598002fdb6ec6"),
"user_id" : ObjectId("5b0c99d0fea598002fdb6ec7")
}
I need to build a query that can determine the following:
Counts the total submissions per grouping by status between a date range,
Counts the Total number of submissions by mission_id per each grouping.
Below is what I have so far ("cutting out some info..."):
QUERY:
db.submissions.aggregate(
{ $match: {
"submissionDate": {
"$gte": NumberInt(1527901260), //Fri, 1 Jun 2018 18:00:01 PDT
"$lte": NumberInt(1530831600) //Thu, 5 Jul 2018 16:00:00 PDT
}
}
},
{$project:
{_id:1,
status: 1,
missionAcceptanceDate: 1,
submissionDate: 1,
approvalDate: 1,
user_id: 1,
mission_id: 1
}
},
{$group: {
_id: { status: "$status" },
statusTotal: { $sum: 1 },
mission_id: { $addToSet: "$mission_id" },
}
}
)
RESULT:
{
"_id" : {
"status" : "Rejected"
},
"statusTotal" : 16.0,
"mission_id" : [
ObjectId("5b0edbfafea598002fdb6f3a"),
ObjectId("5b0f0131fea598002fdb6f43"),
ObjectId("5b0eded6fea598002fdb6f3d"),
...
]
}
{
"_id" : {
"status" : "Approved"
},
"statusTotal" : 592.0,
"mission_id" : [
ObjectId("5b391cf4e177c700308dd0ef"),
ObjectId("5b36a0d172b5240030d304be"),
ObjectId("5b3558276a0f950030db1732"),
...
]
}
This is a great, but I also need to know the Total Number of Times each "mission_id" was "Rejected" or "Approved". The desired out come should look something like the following:
{
"_id" : {
"status" : "Rejected"
},
"statusTotal" : 16.0,
"mission_id" : [
...
{ mission_id: ObjectId("5b0edbfafea598002fdb6f3a"), count: 3 },
{ mission_id: ObjectId("5b0f0131fea598002fdb6f43"), count: 5},
{ mission_id: ObjectId("5b0eded6fea598002fdb6f3d"), count: 2 }
...
]
}
{
"_id" : {
"status" : "Approved"
},
"statusTotal" : 592.0,
"missionData" : [
{ mission_id: ObjectId("5b391cf4e177c700308dd0ef"), count: 23 },
{ mission_id: ObjectId("5b36a0d172b5240030d304be"), count: 45},
{ mission_id: ObjectId("5b3558276a0f950030db1732"), count: 15 }
...
]
}
I tried using $size, $sum, $count, even using a second $group with {$sum:1} for each mission_id, but just can't figure it out. Any help with this would be so much appreciated. Thank you in advance!

Answer 1

You need an extra grouping before your group if I understand your question correctly.
Something like
db.submissions.aggregate([
{"$match":{"submissionDate":{"$gte":NumberInt(1527901260),"$lte":NumberInt(1530831600)}}},
{"$group":{
"_id":{"status":"$status","mission_id":"$mission_id"},
"missionTotal":{"$sum":1}
}},
{"$group":{
"_id":"$_id.status",
"statusTotal":{"$sum":"$missionTotal"},
"mission_id":{"$push":{"mission_id":"$_id.mission_id","count":"$missionTotal"}}
}}
])