Use aggregation $gte and $lte along with $sum to count and sum a field between 2 dates. Let us first create a collection with documents −
> db.countandsumdemo.insertOne({"Value":10,"created_at":ISODate('2019-10-11')}); { "acknowledged" : true, "insertedId" : ObjectId("5e038e6df5e889d7a51994fa") } > db.countandsumdemo.insertOne({"Value":50,"created_at":ISODate('2019-01-31')}); { "acknowledged" : true, "insertedId" : ObjectId("5e038e77f5e889d7a51994fb") } > db.countandsumdemo.insertOne({"Value":100,"created_at":ISODate('2019-06-31')}); { "acknowledged" : true, "insertedId" : ObjectId("5e038e8af5e889d7a51994fc") }
Following is the query to display all documents from a collection with the help of find() method −
> db.countandsumdemo.find().pretty();
This will produce the following output −
{ "_id" : ObjectId("5e038e6df5e889d7a51994fa"), "Value" : 10, "created_at" : ISODate("2019-10-11T00:00:00Z") } { "_id" : ObjectId("5e038e77f5e889d7a51994fb"), "Value" : 50, "created_at" : ISODate("2019-01-31T00:00:00Z") } { "_id" : ObjectId("5e038e8af5e889d7a51994fc"), "Value" : 100, "created_at" : ISODate("2019-07-01T00:00:00Z") }
Following is the query to count and sum a field between 2 dates −
> db.countandsumdemo.aggregate( ... [{ ... $match: { ... created_at: { ... $gte: new Date('2019-05-01'), ... $lte: new Date('2019-12-31') ... } ... } ... }, { ... $group: { ... _id: null, ... SUM: { ... $sum: "$Value" ... }, ... COUNT: { ... $sum: 1 ... } ... } ... }] ... );
This will produce the following output −
{ "_id" : null, "SUM" : 110, "COUNT" : 2 }