There are two collections:
Sales
{
\"_id\" : ObjectId(\"5ba0bfb8d1acdc0de716e839\"),
\"invoiceNumber\" : 1,
\"saleDate\" : ISODate(\"2018-09-01T00:
You can try below aggregation
db.sales.aggregate([
{ "$limit": 1 },
{ "$facet": {
"collection1": [
{ "$limit": 1 },
{ "$lookup": {
"from": "sales",
"pipeline": [
{ "$match": {
"date": { "$gte": ISODate("2018-09-01"), "$lte": ISODate("2018-09-10") },
"customer.name": customerName
}},
{ "$project": {
"_id":0, "dated": "$saleDate", "heading": "Sale", "particulars": "$invoiceNumber",
"amount": "$totalAmount", "modeOfPayment": null
}}
],
"as": "collection1"
}}
],
"collection2": [
{ "$limit": 1 },
{ "$lookup": {
"from": "transactions",
"pipeline": [
{ "$match": {
"transactionDate": { "$gte": ISODate("2018-09-01"), "$lte": ISODate("2018-09-10") },
"userId": userId, "partyName": customerName
}},
{ "$project": {
"_id":0, "dated": "$transactionDate", "heading": "Payment","particulars": "$transactionNumber",
"amount": "$amount", "paymentMode": "$transactionMode"
}}
],
"as": "collection2"
}}
]
}},
{ "$project": {
"data": {
"$concatArrays": [
{ "$arrayElemAt": ["$collection1.collection1", 0] },
{ "$arrayElemAt": ["$collection2.collection2", 0] },
]
}
}},
{ "$unwind": "$data" },
{ "$replaceRoot": { "newRoot": "$data" } },
{ "$sort": { "dated": -1 }}
])
Disclaimer: The technique presented below is not exactly advisable. ;) This is true in particular when dealing with big collections. However, it can be used to achieve the identical effect as a SQL UNION ALL
from MongoDB v3.6 onwards.
Given a collection first
and a collection second
:
db.first.aggregate([{
$group: { // create an array to hold all documents of the first collection
"_id": null,
"first": {
$push: "$$ROOT"
}
}
}, {
$lookup: { // perform some kind of ridiculous lookup which will return all documents from the second collection in an array
from: "second",
let: { /* we do not need any variables */ },
pipeline: [ { $match: { /* this filter will match every document */ } } ],
as: "second"
}
}, {
$project: {
"all": { $concatArrays: [ "$first", "$second" ] } // merge the two collections
}
}, {
$unwind: "$all" // flatten the resulting array
}, {
$replaceRoot: { "newRoot": "$all" } // move content of "all" field all the way up
}], {
allowDiskUse: true // make sure we do not run into memory issues
})
I dont think so that you can perform a union on 2 different collections in mongodb.
However you can get data from both collections using q.all and afterwards make a union from them using your own function or may be third party module like lodash.
The only way you can perform union in mongodb is as mentioned here. https://docs.mongodb.com/manual/reference/operator/aggregation/setUnion/