You can use aggregate and unwind the array list before applying match. To understand the above concept, let us create a collection with documents. The query to create a collection with document is as follows:
> db.filterArray.insertOne( { "L": [{ "N":1 }, { "N":2 } , { "N":3 }, { "N":4 }, { "N":5 } ]});
The following is visible after running the above query:
{ "acknowledged" : true, "insertedId" : ObjectId("5c6d63f2734e98fc0a434aeb") }
Display document from a collection with the help of find() method. The query is as follows:
> db.filterArray.find().pretty();
The following is the output:
{ "_id" : ObjectId("5c6d63f2734e98fc0a434aeb"), "L" : [ { "N" : 1 }, { "N" : 2 }, { "N" : 3 }, { "N" : 4 }, { "N" : 5 } ] }
Here is the query to filter array in subdocument with MongoDB. We have used $gt to get the fields greater than 3:
> db.filterArray.aggregate({ $match:{_id:ObjectId("5c6d63f2734e98fc0a434aeb")}}, { $unwind:'$L'}, {$match:{'L.N':{$gt:3}}}, {$group:{_id:'$_id',subDocument:{$push:'$L.N'}}}).pretty();
The following is the output:
{ "_id" : ObjectId("5c6d63f2734e98fc0a434aeb"), "subDocument" : [ 4, 5 ] }