To search for multiple documents in MongoDB, use $in. Let us create a collection with documents −> db.demo161.insertOne({"ClientId":101, "ClientName":"Chris"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e3577cafdf09dd6d0853a09") } > db.demo161.insertOne({"ClientId":102, "ClientName":"David"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e3577d0fdf09dd6d0853a0a") } > db.demo161.insertOne({"ClientId":103, "ClientName":"David", "ClientAge":35}); {    "acknowledged" : ... Read More

To count duplicate date records in MongoDB, use aggregate() and $group. Let us create a collection with documents −> db.demo160.insertOne({"DueDate":new ISODate()}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e357525fdf09dd6d0853a04") } > db.demo160.insertOne({"DueDate":new ISODate("2019-01-11")}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e357532fdf09dd6d0853a05") } > db.demo160.insertOne({"DueDate":new ISODate()}); {    "acknowledged" ... Read More

To calculate average value in MongoDB, use aggregate() along with $avg. Let us create a collection with documents −> db.demo159.insertOne({"Score":50}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e3557b2fdf09dd6d0853a01") } > db.demo159.insertOne({"Score":70}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e3557b6fdf09dd6d0853a02") } > db.demo159.insertOne({"Score":60}); {    "acknowledged" : true,   ... Read More

To get stats, use explain() in MongoDB. Let us create a collection with documents −> db.demo157.insertOne({"Status":"Active"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e354fdffdf09dd6d08539fc") } > db.demo157.insertOne({"Status":"InActive"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e354fe3fdf09dd6d08539fd") }Display all documents from a collection with the help of find() method −> ... Read More

To sort by difference, use aggregate() in MongoDB. Let us create a collection with documents −> db.demo155.insertOne({"Scores":[{"Value":45}, {"Value":50}]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e354584fdf09dd6d08539e3") } > db.demo155.insertOne({"Scores":[{"Value":60}, {"Value":10}]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e35458efdf09dd6d08539e4") } > db.demo155.insertOne({"Scores":[{"Value":100}, {"Value":95}]}); {    "acknowledged" : true,   ... Read More

To query a nested field within an array, use $elemMatch in MongoDB. Let us create a collection with documents −> db.demo153.insertOne({"ClientDetails":[{"ClientName":"Chris", "ClientProject":"Online Banking System"}, {"ClientName":"David", "ClientProject":"Online School Management"}]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e351957fdf09dd6d08539df") } > db.demo153.insertOne({"ClientDetails":[{"ClientName":"Carol", "ClientProject":"Online Book System"}, {"ClientName":"Mike", "ClientProject":"Game Development"}]}); {    "acknowledged" : ... Read More

To update an array, instead use findAndModify() in MongoDB. Let us create a collection with documents −> db.demo152.insertOne({"id":102, "Name":["Chris", "David"], Score:45}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e3515bcfdf09dd6d08539dd") } > db.demo152.insertOne({"id":103, "Name":["Mike", "Carol"], Score:65}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e3515cafdf09dd6d08539de") }Display all documents from a ... Read More

Let us create a collection with documents −> db.demo151.insertOne({"ListOfNames":["Chris", "David", "Mike"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e3513b6fdf09dd6d08539da") } > db.demo151.insertOne({"ListOfNames":["Mike", "Bob"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e3513c4fdf09dd6d08539db") } > db.demo151.insertOne({"ListOfNames":["John", "David", "Chris"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e3513dcfdf09dd6d08539dc") }Display all documents ... Read More

For conditional update, use update() and set new value using $set. Let us create a collection with documents −> db.demo150.insertOne({"StudentId":101, "StudentName":"Chris", "StudentMarks":35}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e350dcdfdf09dd6d08539d3") } > db.demo150.insertOne({"StudentId":102, "StudentName":"Chris", "StudentMarks":55}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e350dcefdf09dd6d08539d4") } > db.demo150.insertOne({"StudentId":103, "StudentName":"David", "StudentMarks":34}); ... Read More

For a case-insensitive query, use regex in MongoDB. Let us create a collection with documents −> db.demo314.insertOne({"Name":"Chris brown"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e50d742f8647eb59e562056") } > db.demo314.insertOne({"Name":"David Miller"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e50d743f8647eb59e562057") } > db.demo314.insertOne({"Name":"CHRIS BROWN"}); {    "acknowledged" : true,   ... Read More