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The following aggregation:
db.Collection.aggregate([
{
$match: {
"SimulationDate": {$gte: ISODate("2018-03-21 00:00:00")},
"ParentId": null
}
},
{
$project: {
"CPF": "$User.CPF",
"Data": "$SimulationDate",
"Email": "$User.Email",
"TelCelular": {$concat: ["$User.MobilePhone.AreaCode","-","$Borrower.MobilePhone.Number"]},
"TelOutro": {$concat: ["$User.HomePhone.AreaCode","-","$Borrower.HomePhone.Number"]},
}
},
{
$lookup: {
from: "Collection",
let: {
id: "$Email",
data: "$Data"
},
pipeline: [
{
$match: {
$expr: {$and: [
{$eq: ["$$id", "$User.Email"]},
{$gte: ["$SimulationDate", ISODate("2018-03-21 00:00:00")]},
{$lte: ["$SimulationDate", "$$data"]},
]}
}
},
{
$project: {
"CPF_Email": "$User.CPF",
"Data_Email": "$SimulationDate"
}
}
],
as: "Email"
}
}
])
seems to run much slower (I couldn't even wait for the first line to return) than the (similar?) find+Javascript script:
var ds = new Date(2018,2,21)
db.Collection.find({"SimulationDate": {$gte: ds},"ParentId": null},{'SimulationDate':1,'User.Email':1}).forEach(p=>{
db.Collection.find({'User.Email':p.User.Email,SimulationDate:{$gte:ds, $lte:p.SimulationDate}}).forEach(pb=>{
print (pb.User.Email+","+pb.SimulationDate)
})
})
Bug
Major - P3
SERVER-34926 allow $expr with comparison bounded on both sides with same type to use a non-multikey index