Filter on a mongo document and project specific fields - mongodb

Question

I am quite a beginner in MongoDb. Tried a lot but stuck on one query.
Please find a sample mongo document on the given below:
{
"_id" : ObjectId("5dc158a60566e14c5190db72"),
"hotel_id" : NumberInt(45),
"plans" : [
{
"plan_type" : "AP",
"sub_plans" : [
{
"channels" : [
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : 20.0,
"ep_price_reduction" : null,
"salesforce_id" : "a0Y280000023LFwEAM",
"breakfast_start_time" : null,
"breakfast_end_time" : null,
"lunch_start_time" : null,
"lunch_end_time" : null,
"dinner_start_time" : null,
"dinner_end_time" : null,
"created_at" : NumberLong(1468577718000),
"updated_at" : NumberLong(1481074321000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : NumberInt(400),
"non_veg_price" : null,
"additional_non_veg_price" : null,
"discount" : null
}
]
},
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : 20.0,
"ep_price_reduction" : null,
"salesforce_id" : "a0W28000004GqL4",
"breakfast_start_time" : "7:30",
"breakfast_end_time" : "10:00",
"lunch_start_time" : "12:30",
"lunch_end_time" : "15:00",
"dinner_start_time" : "19:00",
"dinner_end_time" : "22:30",
"created_at" : NumberLong(1505516604000),
"updated_at" : NumberLong(1505516604000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : NumberInt(425),
"non_veg_price" : NumberInt(425),
"additional_non_veg_price" : 0.0,
"discount" : null
}
]
},
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : 20.0,
"ep_price_reduction" : null,
"salesforce_id" : "a0W28000004GqL4",
"breakfast_start_time" : "7:30",
"breakfast_end_time" : "10:00",
"lunch_start_time" : "12:30",
"lunch_end_time" : "15:00",
"dinner_start_time" : "19:00",
"dinner_end_time" : "22:30",
"created_at" : NumberLong(1505709978000),
"updated_at" : NumberLong(1542162045000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : NumberInt(425),
"non_veg_price" : NumberInt(425),
"additional_non_veg_price" : 0.0,
"discount" : null
}
]
}
],
"sub_plan_type" : "Standard",
"is_sub_plan_default" : false
}
]
},
{
"plan_type" : "EP",
"sub_plans" : [
{
"channels" : [
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : null,
"ep_price_reduction" : NumberInt(80),
"salesforce_id" : "a0Y280000023LG1EAM",
"breakfast_start_time" : null,
"breakfast_end_time" : null,
"lunch_start_time" : null,
"lunch_end_time" : null,
"dinner_start_time" : null,
"dinner_end_time" : null,
"created_at" : NumberLong(1468577718000),
"updated_at" : NumberLong(1481074321000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : null,
"non_veg_price" : null,
"additional_non_veg_price" : null,
"discount" : null
}
]
}
],
"sub_plan_type" : "Standard",
"is_sub_plan_default" : false
}
]
},
{
"plan_type" : "MAP",
"sub_plans" : [
{
"channels" : [
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : 20.0,
"ep_price_reduction" : null,
"salesforce_id" : "a0Y280000023LG6EAM",
"breakfast_start_time" : null,
"breakfast_end_time" : null,
"lunch_start_time" : null,
"lunch_end_time" : null,
"dinner_start_time" : null,
"dinner_end_time" : null,
"created_at" : NumberLong(1468577718000),
"updated_at" : NumberLong(1481074321000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : NumberInt(200),
"non_veg_price" : null,
"additional_non_veg_price" : null,
"discount" : null
}
]
},
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : 20.0,
"ep_price_reduction" : null,
"salesforce_id" : "a0W28000004GqL4",
"breakfast_start_time" : "7:30",
"breakfast_end_time" : "10:00",
"lunch_start_time" : "12:30",
"lunch_end_time" : "15:00",
"dinner_start_time" : "19:00",
"dinner_end_time" : "22:30",
"created_at" : NumberLong(1505709978000),
"updated_at" : NumberLong(1541476001000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : NumberInt(225),
"non_veg_price" : NumberInt(225),
"additional_non_veg_price" : 0.0,
"discount" : null
}
]
}
],
"sub_plan_type" : "Standard",
"is_sub_plan_default" : false
}
]
}
]
}
I want only selected fields if:
hotel id is 45, price of occupancy 1, is_active is false and status is Pending and plan type is in ['AP', 'EP'].
Desired output:
{
"_id" : ObjectId("5dc158a60566e14c5190db72"),
"hotel_id" : NumberInt(45),
"plans" : [
{
"plan_type" : "AP",
"sub_plans" : [
{
"channels" : [
{
"channel_name" : "default",
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"prices" : [
{
"veg_price" : NumberInt(425)
}
]
},
{
"channel_name" : "default",
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"prices" : [
{
"veg_price" : NumberInt(425)
}
]
}
],
"sub_plan_type" : "Standard",
"is_sub_plan_default" : false
}
]
},
{
"plan_type" : "EP",
"sub_plans" : [
{
"channels" : [
{
"channel_name" : "default",
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"prices" : [
{
"veg_price" : null,
}
]
}
],
"sub_plan_type" : "Standard",
"is_sub_plan_default" : false
}
]
},
]
}
My Query:
db.collection.find({
"hotel_id": 45,
"plans.plan_type": {$in : ["AP", "EP"]},
"plans.sub_plans.channels.prices.occupancy": 1,
"plans.sub_plans.channels.is_active": false,
"plans.sub_plans.channels.status": "Pending"
})
Note - I need to search in only one document where hotel id is 45.
Please help.
Thanks in advance.

Answer 1

You may be looking for a query like this.
db.collection.aggregate([
{
"$unwind": "$plans",
},
{
"$group": {
"_id": "$hotel_id",
"hotel_id": {
"$first": "$hotel_id"
},
"plans": {
"$push": {
"$cond": [
{
"$or": [
{
"$eq": [
"$plans.plan_type",
"AP"
]
},
{
"$eq": [
"$plans.plan_type",
"EP"
]
}
]
},
{
"plan_type": "$plans.plan_type",
"sub_plans": "$plans.sub_plans",
"sub_plan_type": "$plans.sub_plan_type",
"is_sub_plan_default": "$is_sub_plan_default"
},
null
]
}
}
}
},
{
"$project": {
"_id": 1,
"hotel_id": 1,
"plans": {
"$filter": {
input: "$plans",
as: "plan",
cond: {
$ne: [
"$$plan",
null
]
}
}
}
}
}
])

Answer 2

You need to apply aggregation.
db.collection_name.aggregate([
{
"$match":{
"hotel_id": 45,
"plans.plan_type": "AP",
"plans.sub_plans.channels.prices.occupancy": 1,
"plans.sub_plans.channels.is_active": false,
"plans.sub_plans.channels.status": "Pending"
}
},
{
"$project":{
"_id":"$_id",
"hotel_id":"$hotel_id",
"plans":"plans"
}
}
])