MongoDB aggregate multiple group by top fields and array fields - mongodb

Question

My collection will look like this,
{
"_id" : ObjectId("591c5971240033283736860a"),
"status" : "Done",
"createdDate" : ISODate("2017-05-17T14:09:20.653Z")
"communications" : [
{
"communicationUUID" : "df07948e-4a14-468e-beb1-db55ff72b215",
"communicationType" : "CALL",
"recipientId" : 12345,
"createdDate" : ISODate("2017-05-18T14:09:20.653Z")
"callResponse" : {
"Status" : "completed",
"id" : "dsd45554545ds92a9bd2c12e0e6436d",
}
}
]}
{
"_id" : ObjectId("45sdsd59124003345121450a"),
"status" : "ToDo",
"createdDate" : ISODate("2017-05-17T14:09:20.653Z")
"communications" : [
{
"communicationUUID" : "45sds55-4a14-468e-beb1-db55ff72b215",
"communicationType" : "CALL",
"recipientId" : 1234,
"createdDate" : ISODate("2017-05-18T14:09:20.653Z")
"callResponse" : {
"Status" : "completed",
"id" : "84fe862f1924455dsds5556436d",
}
}
]}
Currently I am writing two aggregate query to achieve my requirement and my query will be below
db.collection.aggregate(
{ $project: {
dayMonthYear: { $dateToString: { format: "%d/%m/%Y", date: "$createdDate" } },
status: 1,
}},
{ $group: {
_id: "$dayMonthYear",
Pending: { $sum: { $cond : [{ $eq : ["$status", "ToDo"]}, 1, 0]} },
InProgress: { $sum: { $cond : [{ $eq : ["$status", "InProgress"]}, 1, 0]} },
Done: { $sum: { $cond : [{ $eq : ["$status", "Done"]}, 1, 0]} },
Total: { $sum: 1 }
}}
My output will be,
{"_id" : "17/05/2017", "Pending" : 1.0, "InProgress" : 0.0, "Done" : 1.0, "Total" : 2.0 }
Using above query I can able to get count but I need to find the count based on communication Status too so I am writing one more query to achieve,
db.collection.aggregate(
{"$unwind":"$communications"},
{ $project: {
dayMonthYear: { $dateToString: { format: "%d/%m/%Y", date: "$createdDate" } },
communications: 1
}},
{ "$group": {
_id: "$dayMonthYear",
"total_call": { $sum: { $cond : [{ $or : [ { $eq: [ "$communications.callResponse.Status", "failed"] },
{ $eq: [ "$communications.callResponse.Status", "busy"] },
{ $eq: [ "$communications.callResponse.Status", "completed"] },
{ $eq: [ "$communications.callResponse.Status", "no-answer"] }
]}, 1, 0 ] }},
"engaged": { $addToSet: { $cond : [{ $eq : ["$communications.callResponse.Status", "completed"]},
"$communications.recipientId", "null" ]} },
"not_engaged": { $addToSet: { $cond: [{ $or : [ { $eq: [ "$communications.callResponse.Status", "failed"] },
{ $eq: [ "$communications.callResponse.Status", "busy"] },
{ $eq: [ "$communications.callResponse.Status", "no-answer"] } ]},
"$communications.recipientId", "null" ] }}
}},
{ "$project": {
"_id": 1,
"total_call": 1,
"engaged": { "$setDifference": [ "$ngaged", ["null"] ] },
"not_engaged": { "$setDifference": [ "$not_engaged", ["null"] ] },
}},
{ "$project": {
"total_call": 1,
"engaged": { "$size": "$engaged" },
"not_engaged": { "$size": { "$setDifference": [ "$not_engaged", "$engaged" ] }},
}})
My output will be,
{"_id" : "18/05/2017", "total_call" : 2.0, "engaged" : 2, "not_engaged" : 0}
Using above query I can able to get count but I want to achieve it in single query
I am looking for output like
{"_id":"17/05/2017", "Pending" : 1.0, "InProgress" : 0.0, "Done" : 1.0, "total_call" : 0, "engaged" : 0, "not_engaged" : 0}
{"_id":"18/05/2017", "Pending" : 0.0, "InProgress" : 0.0, "Done" : 0.0, "total_call" : 2, "engaged" : 2, "not_engaged" : 0}
Can anyone suggest or provide me good way to get above result.

Answer 1

You can use $concatArrays to merge the status& createdDate documents followed by $group to count the occurrences.
db.collection.aggregate([
{
"$project": {
"statusandcreateddate": {
"$concatArrays": [
[
{
"status": "$status",
"createdDate": "$createdDate"
}
],
{
"$map": {
"input": "$communications",
"as": "l",
"in": {
"status": "$$l.callResponse.Status",
"createdDate": "$$l.createdDate"
}
}
}
]
}
}
},
{
"$unwind": "$statusandcreateddate"
},
{
"$group": {
"_id": {
"$dateToString": {
"format": "%d/%m/%Y",
"date": "$statusandcreateddate.createdDate"
}
},
"total_call": {
"$sum": {
"$cond": [
{
"$or": [
{
"$eq": [
"$statusandcreateddate.status",
"failed"
]
},
{
"$eq": [
"$statusandcreateddate.status",
"busy"
]
},
{
"$eq": [
"$statusandcreateddate.status",
"completed"
]
},
{
"$eq": [
"$statusandcreateddate.status",
"no-answer"
]
}
]
},
1,
0
]
}
},
"engaged": {
"$sum": {
"$cond": [
{
"$eq": [
"$statusandcreateddate.status",
"completed"
]
},
1,
0
]
}
},
"not_engaged": {
"$sum": {
"$cond": [
{
"$or": [
{
"$eq": [
"$statusandcreateddate.status",
"failed"
]
},
{
"$eq": [
"$statusandcreateddate.status",
"busy"
]
},
{
"$eq": [
"$statusandcreateddate.status",
"no-answer"
]
}
]
},
1,
0
]
}
},
"Pending": {
"$sum": {
"$cond": [
{
"$eq": [
"$statusandcreateddate.status",
"ToDo"
]
},
1,
0
]
}
},
"InProgress": {
"$sum": {
"$cond": [
{
"$eq": [
"$statusandcreateddate.status",
"InProgress"
]
},
1,
0
]
}
},
"Done": {
"$sum": {
"$cond": [
{
"$eq": [
"$statusandcreateddate.status",
"Done"
]
},
1,
0
]
}
}
}
}
])