Reputation: 243
Apologies for the confusing title, I am not sure how to summarize this.
Suppose I have the following list of documents in a collection:
{ "name": "Lorem", "source": "A" }
{ "name": "Lorem", "source": "B" }
{ "name": "Ipsum", "source": "A" }
{ "name": "Ipsum", "source": "B" }
{ "name": "Ipsum", "source": "C" }
{ "name": "Foo", "source": "B" }
as well an ordered list of accepted sources, where lower indexes signify higher priority
sources = ["A", "B"]
My query should:
Example:
wanted_names = ['Lorem', 'Ipsum', 'Foo', 'NotThere']
Result:
{ "name": "Lorem", "source": "A" }
{ "name": "Ipsum", "source": "A" }
{ "name": "Foo", "source": "B" }
The results don't necessarily have to be ordered.
Is it possible to do this with a Mongo query alone? If so could someone point me towards a resource detailing how to accomplish it?
My current solution doesn't support a list of names, and instead relies on a Python script to execute multiple queries:
db.collection.aggregate([
{$match: {
"name": "Lorem",
"source": {
$in: sources
}}},
{$addFields: {
"order": {
$indexOfArray: [sources, "$source"]
}}},
{$sort: {
"order": 1
}},
{$limit: 1}
]);
Note: _id
fields are omitted in this question for the sake of brevity
Upvotes: 1
Views: 666
Reputation: 13103
How about this: With $group
we have $min
operator which takes lower source
Note: If you prioritize as ['B', 'A'], use $max
then
db.collection.aggregate([
{
$match: {
"name": {
$in: [
"Lorem",
"Ipsum",
"Foo",
"NotThere"
]
},
"source": {
$in: [
"A",
"B"
]
}
}
},
{
$group: {
_id: "$name",
source: {
$min: "$source"
}
}
},
{
$project: {
_id: 0,
name: "$_id",
source: 1
}
}
])
Upvotes: 1