I want to add multiple conditions on join. Join those docs (of the same collection) who met the following conditions:
- Have opposite gender
- Have age (IF EXISTS) between the primary doc age preference and primary doc have
age
(IF EXISTS) between the foreign doc preference (i.e two-way check)
My attempt is the following but has two issues:
$exists
can't be used inside$expr
idk why- Age query is one way right now
$lookup: {
"from": "appusers",
"let": { 'gen': "$gender",'pref': "$preference" },
"pipeline": [{
$match: {$expr: {
$and: [
{ $ne: ["$gender", "$$gen"]},
{ $or: [
{$exists: {"$age": false}},
{$and: [
{ $gte: ["$age", '$$pref.age_from' ] },
{ $lte: [ "$age", '$$pref.age_to' ] }
]}
]}
]
}}}],
"as": "matches"
}
Example: Input Docs:
{
name: "person1",
age: 36,
gender: "Male",
preference: {
age_from: 25,
age_to: 35
}
}
{
name: "person2",
age: 18,
gender: "Female",
preference: {
age_from: 25,
age_to: 40
}
}
{
name: "person3",
age: 26,
gender: "Female",
preference: {
age_from: 30,
age_to: 35
}
}
{
name: "person4",
age: 26,
gender: "Female",
preference: {
age_from: 30,
age_to: 40
}
}
Output: For person 1 the matches array will show only person 4 (and similarly person 4 match will show person 1) i.e.:
{
name: person1,
age: 36,
gender: "Male",
preference: {
age_from: 28,
age_to: 35
},
matches: [
{
name: person4,
...
}
]
}