For aggregation, use aggregate() in MongoDB. Group the dates with $group. Let us create a collection with documents −
> db.demo717.insertOne( ... { ... "shippingdetails": ... [ ... { ... duedate:"2020-04-29 22:33:04", ... }, ... { ... duedate:"2020-03-29 22:33:04", ... }, ... { ... duedate:"2020-04-29 22:33:04", ... }, ... { ... duedate:"2020-01-29 22:33:04", ... } ... ] ... } ... ); { "acknowledged" : true, "insertedId" : ObjectId("5ea9b3cd85324c2c98cc4c30") }
Display all documents from a collection with the help of find() method −
> db.demo717.find().pretty();
This will produce the following output −
{ "_id" : ObjectId("5ea9b3cd85324c2c98cc4c30"), "shippingdetails" : [ { "duedate" : "2020-04-29 22:33:04" }, { "duedate" : "2020-03-29 22:33:04" }, { "duedate" : "2020-04-29 22:33:04" }, { "duedate" : "2020-01-29 22:33:04" } ] }
Following is the query for aggregation to group date in nested documents (nested object) −
> db.demo717.aggregate( ... { ... $unwind:"$shippingdetails"}, ... { ... $group: { ... _id: "$shippingdetails.duedate", ... count: { ... $sum: 1 ... } ... } ... } ... )
This will produce the following output −
{ "_id" : "2020-01-29 22:33:04", "count" : 1 } { "_id" : "2020-03-29 22:33:04", "count" : 1 } { "_id" : "2020-04-29 22:33:04", "count" : 2 }