Rewind data of two nested array field after $unwind and $lookup and $filter on date range in $project - mongodb

Question

{
"_id" : ObjectId("590b12b6330e1567acd29e69"),
"name": "Foo",
"sales_history" : [
{
"_id" : ObjectId("593ce8e4cfaa652df543d9e3"),
"sold_at" : ISODate("2017-06-11T06:53:24.881Z"),
"sold_to" : ObjectId("593509e938792e046ba14a02"),
"sold_products" : [
{
"product_dp" : 100,
"quantity" : 1,
"product_id" : ObjectId("591068be1f4c6c79a442a788"),
"_id" : ObjectId("593ce8e4cfaa652df543d9e5")
},
{
"product_dp" : 100,
"quantity" : 1,
"product_id" : ObjectId("593a33dccfaa652df543d924"),
"_id" : ObjectId("593ce8e4cfaa652df543d9e4")
}
]
},
{
"_id" : ObjectId("5944cb7142a04740357020b9"),
"sold_at" : ISODate("2017-06-17T06:25:53.332Z"),
"sold_to" : ObjectId("5927d4a59e58ba0c61066f3b"),
"sold_products" : [
{
"product_dp" : 500,
"quantity" : 1,
"price" : 5650,
"product_id" : ObjectId("593191ed53a2741dd9bffeb5"),
"_id" : ObjectId("5944cb7142a04740357020ba")
}
]
}
]
}
I have User schema like this. I want detail of product_id reference, with a date range search criteria on sold_at date field.
My expected data like following when I searched in sold_at at: 2017-06-11
{
"_id" : ObjectId("590b12b6330e1567acd29e69"),
"name": "Foo",
"sales_history" : [
{
"_id" : ObjectId("593ce8e4cfaa652df543d9e3"),
"sold_at" : ISODate("2017-06-11T06:53:24.881Z"),
"sold_to" : ObjectId("593509e938792e046ba14a02"),
"sold_products" : [
{
"product_dp" : 100,
"quantity" : 1,
"product_id": {
_id:ObjectId("hsfgg123412yh3gy1u2g3"),
name: "Product1",
code: "FG0154"
},
}
]
}
]
}
Product detail need to be populate in product_id, sales_history array need to be filtered in date range.

Answer 1

You can try below aggregation query.
$filter sales history on date range followed by $unwinding sales history & sold_products.
$lookup sold_products to get the product details.
$group back sold_products & sales history
db.collection.aggregate([
{
"$project": {
"name": 1,
"sales_history": {
"$filter": {
"input": "$sales_history",
"as": "history",
"cond": {
"$and": [
{
"$gte": [
"$$history.sold_at",
ISODate("2017-06-11T00:00:00.000Z")
]
},
{
"$lt": [
"$$history.sold_at",
ISODate("2017-06-12T00:00:00.000Z")
]
}
]
}
}
}
}
},
{
"$unwind": "$sales_history"
},
{
"$unwind": "$sales_history.sold_products"
},
{
"$lookup": {
"from": lookupcollection,
"localField": "sales_history.sold_products.product_id",
"foreignField": "_id",
"as": "sales_history.sold_products.product_id"
}
},
{
"$group": {
"_id": {
"_id": "$_id",
"sales_history_id": "$sales_history._id"
},
"name": {
"$first": "$name"
},
"sold_at": {
"$first": "$sales_history.sold_at"
},
"sold_to": {
"$first": "$sales_history.sold_to"
},
"sold_products": {
"$push": "$sales_history.sold_products"
}
}
},
{
"$group": {
"_id": "$_id._id",
"name": {
"$first": "$name"
},
"sales_history": {
"$push": {
"_id": "$_id.sales_history_id",
"sold_at": "$sold_at",
"sold_to": "$sold_to",
"sold_products": "$sold_products"
}
}
}
}
]);