My document has array with multiple objects, And I need to find related values and push into same array.
CART
{
"_id" : ObjectId("5b2b72119fbb60750e0061b9"),
"cartId" : "1529573905701",
"supplierId" : ObjectId("5b221d1b63eda2902418434d"),
"user_id" : "5b20c54651e68057b3cbe745",
"createdAt" : ISODate("2018-06-21T09:38:25.680Z"),
"services" : [
{
"date" : "21-06-2018",
"timeSlot_id" : ObjectId("5b29e08cb116c31f5b1f56c6"),
"time" : "03:30 PM - 04:30 PM",
"serviceId" : ObjectId("5b24aff4abf2494701bc1c15"),
"cost" : 250,
"_id" : ObjectId("5b2b72119fbb60750e0061ba")
},
{
"_id" : ObjectId("5b2b72329fbb60750e0061bb"),
"cost" : 250,
"serviceId" : ObjectId("5b24aff4abf2494701bc1c15"),
"time" : "03:30 PM - 04:30 PM",
"timeSlot_id" : ObjectId("5b29e08cb116c31f5b1f56c6"),
"date" : "21-06-2018"
}
],
"__v" : 0
}
SERVICES
{
"_id" : ObjectId("5b24aff4abf2494701bc1c15"),
"isActivated" : true,
"supplierServiceId" : 900146649,
"serviceId" : 99473640,
"serviceName" : "AC Reparing",
"description" : "all type of AC, Split AC and Window AC",
"cost" : 250,
"serviceDuration" : "60",
"startTime" : "07:00 AM",
"endTime" : "08:30 PM",
"supplierId" : "5b221d1b63eda2902418434d",
"createdAt" : ISODate("2018-06-16T06:36:36.091Z"),
"__v" : 0
}
TIMESLOTS
{
"_id" : ObjectId("5b29e08cb116c31f5b1f56c6"),
"displayString" : "03:30 PM - 04:30 PM",
"isActivated" : true,
"startTime" : "15:30 PM",
"endTime" : "16:30 PM",
"duration" : "60",
"createdAt" : ISODate("2018-06-20T05:05:16.405Z"),
"__v" : 0
}
Inside the services in CART there are two values serviceId and timeSlot_id
*I need data related to both from related collections. Within same object.
Mongo version -v3.6.5
Please Help to solve this. Thanks in advance.
You need to $unwind
the services
in order to match its timeSlot_id
and serviceId
with the _id
of another collection of TimeSlots and ServiceId
respectively... And then you can $group
it to start the process of "rolling back" into the arrays.
If you have mongodb version 3.6
Cart.aggregate([
{ "$match": { "user_id": _user._id } },
{ "$unwind": "$services" },
{ "$lookup": {
"from": TimeSlot.collection.name,
"let": { "timeSlot_id": "$services.timeSlot_id" },
"pipeline": [
{ "$match": { "$expr": { "$eq": [ "$_id", "$$timeSlot_id" ] } } }
],
"as": "services.timeSlot_id"
}},
{ "$lookup": {
"from": Service.collection.name,
"let": { "serviceId": "$services.serviceId" },
"pipeline": [
{ "$match": { "$expr": { "$eq": [ "$_id", "$$serviceId" ] } } }
],
"as": "services.serviceId"
}},
{ "$unwind": "$services.timeSlot_id" },
{ "$unwind": "$services.serviceId" },
{ "$group": {
"_id": "$_id",
"services": { "$push": "$services" },
"cartId" : { "$first": "$cartId" },
"supplierId" : { "$first": "$supplierId" },
"user_id" : { "$first": "$user_id" },
"createdAt" : { "$first": "$createdAt" }
}}
])
If you have mongodb version prior to 3.6
Cart.aggregate([
{ "$match": { "user_id": _user._id } },
{ "$unwind": "$services" },
{ "$lookup": {
"from": TimeSlot.collection.name,
"localField": "services.timeSlot_id",
"foreignField": "_id",
"as": "services.timeSlot_id",
}},
{ "$lookup": {
"from": Service.collection.name,
"localField": "services.serviceId",
"foreignField": "_id",
"as": "services.serviceId",
}},
{ "$unwind": "$services.timeSlot_id" },
{ "$unwind": "$services.serviceId" },
{ "$group": {
"_id": "$_id",
"services": { "$push": "$services" },
"cartId" : { "$first": "$cartId" },
"supplierId" : { "$first": "$supplierId" },
"user_id" : { "$first": "$user_id" },
"createdAt" : { "$first": "$createdAt" }
}}
])
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