Mongoose sort the aggregated result

The results returned from the aggregation pipeline are just plain objects. So you do the sorting as a pipeline stage, not as a separate operation: Recommend.aggregate( [ // Grouping pipeline { “$group”: { “_id”: ‘$roomId’, “recommendCount”: { “$sum”: 1 } }}, // Sorting pipeline { “$sort”: { “recommendCount”: -1 } }, // Optionally limit results … Read more

Mongodb aggregation pipeline how to limit a group push

Suppose the bottom left coordinates and the upper right coordinates are respectively [0, 0] and [100, 100]. From MongoDB 3.2 you can use the $slice operator to return a subset of an array which is what you want. db.collection.aggregate([ { “$match”: { “loc”: { “$geoWithin”: { “$box”: [ [0, 0], [100, 100] ] } }} … Read more

If Mongo $lookup is a left outer join, then how come it excludes non-matching documents?

This behavior isn’t related to $lookup, it’s because the default behavior for $unwind is to omit documents where the referenced field is missing or an empty array. To preserve the unwound documents even when profile.universities is an empty array, you can set its preserveNullAndEmptyArrays option to true: db.users.aggregate([ { $unwind: “$profile”, $unwind: { path: “$profile.universities”, … Read more

MongoDB to Use Sharding with $lookup Aggregation Operator

As the docs you quote indicate, you can’t use $lookup on a sharded collection. So the best practice workaround is to perform the lookup yourself in a separate query. Perform your aggregate query. Pull the “localField” values from your query results into an array, possibly using Array#map. Perform a find query against the “from” collection, … Read more

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