Collection:
[
{ _id: "Foo", flag1: false, flag2: true, flag3: false },
{ _id: "Bar", flag1: true, flag2: false, flag3: true }
]
My question is, is it possible to call a method inside aggregate query?
aggregate({
$project: {
'_id': 1,
'status' MyService.getStatus($flag1, $flag2, $flag3)
}
});
If it is possible, what is the syntax of it? Result:
[
{ _id: "Foo", status: 'ok' },
{ _id: "Bar", status: 'broken' }
]
In my real world application I have 10 boolean flags per document. If the user gets this documents I would like to convert the flags and give them a meaning (for the user). E.g. consider a document represents a tire.
flag1 = true means tire have good pressure, false means low pressure
flag2 = true means depth of tire profile is good, false means little profile
and so on
So in summary I would like to say a tire is OK if
flag1, flag2 are true and flag3 is false
and a tire needs to be replaced (BROKEN or REPLACE) when
flag1, flag2 are false and flag3 is true
When a document is returned to the user the flags should be removed. Instead we have the status field that says the tire is either OK or BROKEN.
External functions don't work with the aggregation framework. Everything is parsed to BSON on input, so no JavaScript or anything else is allowed. This is all basically processed from BSON "operator" definition to native C++ code implementation so it is really fast.
What this comes down to is "converting" your expected logic to what the aggregation framework can process. There are in fact "logical" operators such as $or
and $and
that work in this context:
db.collection.aggregate([
{ "$project": {
"_id": 1,
"status": {
"$cond": [
{ "$or": [
// Your first set of rules requires "false" for "flag1" or
// "flag2" and "true" for "flag3"
{ "$and": [
{ "$not": [
{ "$or": [ "$flag1", "$flag2" ] },
]},
"$flag3"
]},
// Your second set of rules requires "true" for "flag1" or
// "flag2" and "false" for "flag3"
{ "$and": [
{ "$or": [ "$flag1", "$flag2" ] },
{ "$not": [ "$flag3" ] }
]},
]},
"ok",
"broken"
]
}
}}
])
So no external functions, just implement the logic with the operators that the aggregation framework supplies. In addition to the basic logical implementations there is $not
to "reverse" the ligic and $cond
which acts as a "ternary" in order to provide a different result from true/false
evaluation.
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