I have this data set (two object arrays):
_id:"PBea1d7ca5-5865-493b-bf05-40a9665de00a"
checkouts:Array
0:Object
date:2018-11-23 17:29:49.483
id:"CICOf3195baf-49b4-484e-ab39-03ab1f79ca04"
waitlist:Array
0:Object
date:2018-11-05 21:17:02.407
id:"WTL56ab268d-2929-493e-967b-5606d9473c18"
1:Object
date:2018-12-11 20:50:54.669
id:"WTL53bc7e6a-4f29-421e-a27a-37b1c1b28735"
2:Object
date:2018-12-14 20:25:17.451
id:"WTLd2efa095-cfe0-4e5e-b8bd-c369acd45306"
I need to group array data by month and year, where the result will be two documents for the months in the year
_id:Object
id:"PBea1d7ca5-5865-493b-bf05-40a9665de00a"
month:11
year:2018
checkouts:1
waitlist:1
_id:Object
id:"PBea1d7ca5-5865-493b-bf05-40a9665de00a"
month:12
year:2018
checkouts:0
waitlist:2
I have tried to ($unwind and then $group) each array field, but it ends up creating duplicate entries, and the sums become equal.
the _id field needs to be the year and month:
_id: {id:'$_id', month:{$month:'$groupeddata.date'}, year:{$year:'$groupeddata.date'}}, Any pointers would help.
You can use below aggregation
db.collection.aggregate([
{ "$facet": {
"checkouts": [
{ "$unwind": "$checkouts" },
{ "$group": {
"_id": {
"_id": "$_id",
"date": { "$dateToString": { "date": "$waitlist.date", "format": "%Y-%m" }}
}
},
"checkouts": { "$sum": 1 }
}},
{ "$replaceRoot": {
"newRoot": {
"$mergeObjects": ["$$ROOT", "$_id"]
}
}}
],
"waitlist": [
{ "$unwind": "$waitlist" },
{ "$group": {
"_id": {
"_id": "$_id",
"date": { "$dateToString": { "date": "$waitlist.date", "format": "%Y-%m" }}
},
"waitlist": { "$sum": 1 }
}},
{ "$replaceRoot": {
"newRoot": {
"$mergeObjects": ["$$ROOT", "$_id"]
}
}}
]
}},
{ "$project": {
"data": {
"$concatArrays": ["$checkouts", "$waitlist"]
}
}},
{ "$unwind": "$data" },
{ "$replaceRoot": { "newRoot": "$data" }},
{ "$group": {
"_id": { "_id": "$_id", "date": "$date" },
"waitlist": { "$sum": "$waitlist" },
"checkouts": { "$sum": "$checkouts" }
}}
])
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