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The NumberLong(x) goes beyond its limit value and round off the value whereas NumberLong(“x”) does not.Now, we will consider a number and would use it for both NumberLong(x) and NumberLong(“x”) to see the difference.Let us create a collection with documents −> db.demo603.insert({"longValue" : NumberLong(988998985857575789)}); WriteResult({ "nInserted" : 1 }) > db.demo603.insert({"longValueInString" : NumberLong("988998985857575789")});Display all documents from a collection with the help of find() method −> db.demo603.find().pretty();This will produce the following output −{ "_id" : ObjectId("5e9605e5ed011c280a0905d1"), "longValue" : NumberLong("988998985857575808") } { "_id" : ObjectId("5e9605faed011c280a0905d2"), "longValueInString" : NumberLong("988998985857575789") }
For such grouping of documents, use $group in MongoDB aggregate(). Let us create a collection with documents −> db.demo602.insertOne({id:1, Name:"Chris"});{ "acknowledged" : true, "insertedId" : ObjectId("5e960080ed011c280a0905c9") } > db.demo602.insertOne({id:2, Name:"David"});{ "acknowledged" : true, "insertedId" : ObjectId("5e960086ed011c280a0905ca") } > db.demo602.insertOne({id:1, Name:"Bob"});{ "acknowledged" : true, "insertedId" : ObjectId("5e96008ced011c280a0905cb") } > db.demo602.insertOne({id:3, Name:"Mike"});{ "acknowledged" : true, "insertedId" : ObjectId("5e960092ed011c280a0905cc") } > db.demo602.insertOne({id:2, Name:"John"});{ "acknowledged" : true, "insertedId" : ObjectId("5e960099ed011c280a0905cd") } > db.demo602.insertOne({id:1, Name:"Sam"});{ "acknowledged" : true, "insertedId" : ObjectId("5e9600a1ed011c280a0905ce") }Display all documents from a collection with the help of find() method −> db.demo602.find();This will produce the following ... Read More
Let us create a collection with documents −> db.demo601.insertOne( ... { ... id:1, ... userDetails: ... { ... userName:"John", ... userMailId:"John@gmail.com" ... } ... } ... ); { "acknowledged" : true, "insertedId" : ObjectId("5e95ff5ced011c280a0905c7") } > > db.demo601.insertOne( { id:2, userDetails: { userName:"Carol", userMailId:"Carol@gmail.com" } } );{ "acknowledged" : true, "insertedId" : ObjectId("5e95ff71ed011c280a0905c8") }Display all documents from a collection with the help of find() method ... Read More
For this, use userAdminAnyDatabase since it gives all permission like admin. Following is the syntax −use admin db.createUser( { user: "yourUserName", pwd: "yourPassword", roles: [ { role: "yourRoleName", db: "yourDatabaseName" } ] } )Let us implement the above syntax to create a user role. Following is the query to create a user with role "userAdminAnyDatabase" −> use admin switched to db admin > db.createUser( ... { ... user: "David Miller", ... pwd: "123456", ... roles: [ { role: "userAdminAnyDatabase", db: "admin" } ] ... } ... )This will produce the following output −Successfully added user: { "user" : "David Miller", "roles" : [ { "role" : "userAdminAnyDatabase", "db" : "admin" } ] }
To update, use update() and following is the syntax to create and use a sample custom variable −var anyVariableName=yourValue; db.yourCollectionName.update({filter}, {$set:{yourFieldName:yourVariableName}});Let us create a collection with documents −> db.demo600.insertOne({id:1, Name:"Robert"});{ "acknowledged" : true, "insertedId" : ObjectId("5e94a063f5f1e70e134e2699") } > db.demo600.insertOne({id:2, Name:"Mike"});{ "acknowledged" : true, "insertedId" : ObjectId("5e94a06bf5f1e70e134e269a") } > db.demo600.insertOne({id:3, Name:"Sam"});{ "acknowledged" : true, "insertedId" : ObjectId("5e94a072f5f1e70e134e269b") }Display all documents from a collection with the help of find() method −> db.demo600.find();This will produce the following output −{ "_id" : ObjectId("5e94a063f5f1e70e134e2699"), "id" : 1, "Name" : "Robert" } { "_id" : ObjectId("5e94a06bf5f1e70e134e269a"), "id" : 2, "Name" : "Mike" } ... Read More
To subtract values from document field values, use $subtract in MongoDB aggregate(). Let us create a collection with documents −> db.demo599.insertOne({"TotalPrice":250, "DiscountPrice":35});{ "acknowledged" : true, "insertedId" : ObjectId("5e948192f5f1e70e134e2696") } > db.demo599.insertOne({"TotalPrice":400, "DiscountPrice":10});{ "acknowledged" : true, "insertedId" : ObjectId("5e948199f5f1e70e134e2697") } > db.demo599.insertOne({"TotalPrice":1550, "DiscountPrice":50});{ "acknowledged" : true, "insertedId" : ObjectId("5e9481a0f5f1e70e134e2698") }Display all documents from a collection with the help of find() method −> db.demo599.find();This will produce the following output −{ "_id" : ObjectId("5e948192f5f1e70e134e2696"), "TotalPrice" : 250, "DiscountPrice" : 35 } { "_id" : ObjectId("5e948199f5f1e70e134e2697"), "TotalPrice" : 400, "DiscountPrice" : 10 } { "_id" : ObjectId("5e9481a0f5f1e70e134e2698"), "TotalPrice" : 1550, "DiscountPrice" ... Read More
For this, use $avg along with $group and aggregate(). Let us create a collection with documents −> db.demo598.insertOne( ... { ... Information:'Student', ... id:100, ... details:[ ... {Name:'Chris', Marks:75}, ... {Name:'Bob', Marks:55} ... ] ... } ... ); { "acknowledged" : true, "insertedId" : ObjectId("5e947fccf5f1e70e134e2694") } > db.demo598.insertOne( ... { ... Information:'Student', ... id:101, ... details:[ ... {Name:'Chris', Marks:75}, ... ... Read More
To find which document contains a specific string, use $regex along with find(). Let us create a collection with documents −> db.demo597.insertOne({"Name":"John Doe"});{ "acknowledged" : true, "insertedId" : ObjectId("5e947ae3f5f1e70e134e2690") } > db.demo597.insertOne({"Name":"John Smith"});{ "acknowledged" : true, "insertedId" : ObjectId("5e947ae8f5f1e70e134e2691") } > db.demo597.insertOne({"Name":"Chris Brown"});{ "acknowledged" : true, "insertedId" : ObjectId("5e947aeff5f1e70e134e2692") } > db.demo597.insertOne({"Name":"Adam Smith"});{ "acknowledged" : true, "insertedId" : ObjectId("5e947afff5f1e70e134e2693") }Display all documents from a collection with the help of find() method −> db.demo597.find();This will produce the following output −{ "_id" : ObjectId("5e947ae3f5f1e70e134e2690"), "Name" : "John Doe" } { "_id" : ObjectId("5e947ae8f5f1e70e134e2691"), "Name" : "John Smith" } ... Read More
Use findOne() in MongoDB for this. The findOne() returns one document that satisfies the specified query criteria on the collection.Let us create a collection with documents −> db.demo596.insertOne({_id:1, "FirstName":"John", "LastName":"Smith"}); { "acknowledged" : true, "insertedId" : 1 } > db.demo596.insertOne({_id:2, "FirstName":"John", "LastName":"Doe"}); { "acknowledged" : true, "insertedId" : 2 } > db.demo596.insertOne({_id:3, "FirstName":"Chris", "LastName":"Brown"}); { "acknowledged" : true, "insertedId" : 3 } > db.demo596.insertOne({_id:4, "FirstName":"David", "LastName":"Miller"}); { "acknowledged" : true, "insertedId" : 4 }Display all documents from a collection with the help of find() method −> db.demo596.find();This will produce the following output −{ "_id" : 1, "FirstName" : "John", "LastName" ... Read More
Let us create a collection with documents −> db.demo595.insertOne( { "Information": [ { "_id": new ObjectId(), Name:"Chris" }, { _id:new ObjectId(), Name:"Robert" } ] } ); { "acknowledged" : true, "insertedId" : ObjectId("5e93369cfd2d90c177b5bce4") }Display all documents from a collection with the help of find() method −> db.demo595.find().pretty();This will produce the following output −{ "_id" : ObjectId("5e93369cfd2d90c177b5bce4"), "Information" : [ { "_id" : ObjectId("5e93369cfd2d90c177b5bce2"), "Name" : "Chris" }, { "_id" : ObjectId("5e93369cfd2d90c177b5bce3"), ... Read More