If I have a collection like this:
{
\"store\" : \"XYZ\",
\"total\" : 100
},
{
\"store\" : \"XYZ\",
\"total\" : 200
},
{
\"store\" : \"ABC
You could aggregate as below:
$group by the store field, calculate the subtotal.
$project a field doc to keep the subtotal group in tact, during the next
group.
$group by null and accumulate the net total.
Code:
db.invoices.aggregate([{
$group: {
"_id": "$store",
"subtotal": {
$sum: "$total"
}
}
}, {
$project: {
"doc": {
"_id": "$_id",
"total": "$subtotal"
}
}
}, {
$group: {
"_id": null,
"total": {
$sum: "$doc.total"
},
"result": {
$push: "$doc"
}
}
}, {
$project: {
"result": 1,
"_id": 0,
"total": 1
}
}
])
Output:
{
"total": 1000,
"result": [{
"_id": "ABC",
"total": 700
}, {
"_id": "XYZ",
"total": 300
}
]
}
Another approach would be using the $facet aggregation stage.
$facet allows you to do multiple nested sub-aggregations
within your main aggregation.Like this, for example:
db.invoices.aggregate([
{
$facet: {
total: [
{
$group: {
_id: null,
total: { $sum: "$total"}
}
}
],
store_totals: [
{
$group: {
_id: "$store",
total: { $sum: "$total"}
}
}
]
}
},{
$unwind: "$total"
},{
$project: {
_id: 0,
total: "$total.total",
store_totals: "$store_totals"
}
}
]
@BatScream wrote, that an
$unwindstage might be costly. However we're unwinding an array of length 1 here. So I'm curious which approach is more efficient under which circumstances. If someone can compare those withconsole.time(), I'd be happy to include the results.
Should be the same as in the accepted answer.