Initially I was trying to match by fields.locations.id
, however this wasn't returning any results surprisingly. Browsing SO I've seen that prior matching an $unwind
has to be done so it works (don't really know if this is still the rule in MongoDB >4.x).
Having the following document:
{
"internalId": "idx8",
"fields": {
"city": "Winsconsin",
"locations": [
[{
"id": "abc",
"name": "A Bar",
"tokens": ["A", "Bar"]
}, {
"id": "xyz",
"name": "A Bus Station",
"tokens": ["A", "Bus", "Station"]
}]
],
"extraInfo": {
"randomMap": {
...
}
}
}
}
Performing the following aggregation:
db.sample_collection.aggregate([
{ $unwind: { path: "$fields.locations", preserveNullAndEmptyArrays: true } }
])
This won't really do anything to the result and documents shown by the aggregation are exactly the same. Am I doing something wrong or have I shaped the documents the wrong way?
CodePudding user response:
$unwind
will unwind exactly one level of an array - because your structure has a nested array you'd need this:
db.sample_collection.aggregate([
{ $unwind: { path: "$fields.locations", preserveNullAndEmptyArrays: true }},
{ $unwind: { path: "$fields.locations", preserveNullAndEmptyArrays: true }}
])
This will give you one document per item in all of the items in locations, so if locations = [[1,2,3], [1,2,3]]
- you'd get 6 rows.
CodePudding user response:
$unwind open up the array in collection/query.
First of all, make your query look simple. no need to specify the path, as $unwind operator with a specific field name will auto-unwind it.
Example:
db.collection.aggregate( [ { $unwind: "$fields.location" } ] ) db.collection.aggregate( [ { $unwind: { path: "$fields.location" } } ] )
Both queries are correct.
As far as preserveNullAndEmptyArrays is concerned this option is used to include documents whose sizes field is null, missing, or an empty array.
db.sample_collection.aggregate([$unwind:"$fields.location"]) will work fine.