Employee has multiple employeeActions, the employeeActions data looks like this:
[
{
"email": "[email protected]",
"companyRegNo": 105,
"event": {
"created": ISODate("2022-09-16T06:42:04.387Z"),
"desc": "COMPLETED_APPLICATIONS",
"note": "Direct apply"
}
},
{
"email": "[email protected]",
"companyRegNo": 105,
"event": {
"created": ISODate("2022-09-20T06:42:42.761Z"),
"desc": "ASKED_TO_REVIEW",
}
},
{
"email": "[email protected]",
"companyRegNo": 227,
"event": {
"created": ISODate("2022-09-16T06:42:04.387Z"),
"desc": "COMPLETED_APPLICATIONS",
"note": "Direct apply",
}
},
{
"email": "[email protected]",
"companyRegNo": 227,
"event": {
"created": ISODate("2022-09-28T06:42:42.761Z"),
"desc": "ASKED_TO_REVIEW",
}
},
{
"email": "[email protected]",
"companyRegNo": 157,
"event": {
"created": ISODate("2022-09-16T06:42:04.387Z"),
"desc": "COMPLETED_APPLICATIONS",
"note": "Direct apply",
}
},
{
"email": "[email protected]",
"companyRegNo": 201,
"deleted": true,
"event": {
"created": ISODate("2022-09-15T06:42:42.761Z"),
"desc": "COMPLETED_APPLICATIONS",
}
},
]
I need to write an aggregation query to get all email ids where the employee action of the user - Does not have an ASKED_TO_REVIEW event created before '2022-09-25' - deleted is either false or does not exist
The out put should have only
{"email": "[email protected]"}
{"email": "[email protected]"}
The below match and project query did not work
db.collection.aggregate([
{
"$match": {
"$and": [
{
"deleted": {
"$ne": true
}
},
{
"$or": [
{
"$and": [
{
"event.name": {
"$eq": "ASKED_TO_REVIEW"
}
},
{
"event.created": {
"$lt": ISODate("2022-09-25")
}
}
]
},
{
"event.name": {
"$ne": "ASKED_TO_REVIEW"
}
}
]
}
]
}
},
{
"$project": {
"email": 1,
"_id": 0
}
}
])
How do i go about this?
CodePudding user response：
You need to group the events by email and then apply your filtering logic to those groups, something like this:
db.collection.aggregate([
{
"$group": {
"_id": "$email",
"field": {
"$push": "$$ROOT"
}
}
},
{
"$match": {
$expr: {
"$eq": [
0,
{
"$size": {
"$filter": {
"input": "$field",
"as": "item",
"cond": {
"$or": [
{
"$and": [
{
"$eq": [
{
"$getField": {
"field": "desc",
"input": "$$item.event"
}
},
"ASKED_TO_REVIEW"
]
},
{
"$lt": [
{
"$getField": {
"field": "created",
"input": "$$item.event"
}
},
ISODate("2022-09-25")
]
}
]
},
{
"$eq": [
{
"$getField": {
"field": "deleted",
"input": "$$item"
}
},
true
]
}
]
}
}
}
}
]
}
}
},
{
"$project": {
email: "$_id",
"_id": 0
}
}
])
CodePudding user response：
Figured out the working query.
db.collection.aggregate([
{
"$group": {
"_id": "$email",
"field": {
"$push": "$$ROOT"
}
}
},
{
"$match": {
"$and": [
{
"field.deleted": {
"$ne": true
}
},
{
"$or": [
{
"field": {
"$elemMatch": {
"event.desc": "ASKED_TO_REVIEW",
"event.created": {
"$lt": ISODate("2022-09-25")
}
}
}
},
{
"field.event.desc": {
"$ne": "ASKED_TO_REVIEW"
}
}
]
}
]
}
},
{
"$project": {
email: "$_id",
"_id": 0
}
}
])