MongoDB indexes every value of an array so that you can query for single elements.To understand the concept, let us create a collection with the document. The query to create a collection with a document is as follows −> db.indexingForArrayElementDemo.insertOne({"StudentFavouriteSubject":["MongoDB", "MySQL"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8acdca6cea1f28b7aa0816") }Display all documents from a collection with the help of find() method. The query is as follows −> db.indexingForArrayElementDemo.find().pretty();The following is the output −{    "_id" : ObjectId("5c8acdca6cea1f28b7aa0816"),    "StudentFavouriteSubject" : [       "MongoDB",       "MySQL"    ] }Here is the query by which MongoDB index ... Read More

Let us first create a collection with the document. The query to create a collection with a document is as follows −> db.aggregationFrameworkWithOrMatchDemo.insertOne({"StudentFirstName":"John",    "StudentLastName":"Smith", "StudentAge":23}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8ac3a96cea1f28b7aa080d") } > db.aggregationFrameworkWithOrMatchDemo.insertOne({"StudentFirstName":"Carol",    "StudentLastName":"Tayor", "StudentAge":24}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8ac3bc6cea1f28b7aa080e") } > db.aggregationFrameworkWithOrMatchDemo.insertOne({"StudentFirstName":"David",    "StudentLastName":"Miller", "StudentAge":21}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8ac3ce6cea1f28b7aa080f") } > db.aggregationFrameworkWithOrMatchDemo.insertOne({"StudentFirstName":"Bob",    "StudentLastName":"Taylor", "StudentAge":20}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8ac3e16cea1f28b7aa0810") } > db.aggregationFrameworkWithOrMatchDemo.insertOne({"StudentFirstName":"Robert",    "StudentLastName":"Smith", "StudentAge":20}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8ac3fb6cea1f28b7aa0811") } > db.aggregationFrameworkWithOrMatchDemo.insertOne({"StudentFirstName":"Mike",    "StudentLastName":"Miller", ... Read More

To query condition on comparing 2 fields, use the following syntax −db.yourCollectionName.find( { $where: function() { return this.yourFirstFieldName < this.yourSecondFieldName } } ).pretty();To understand the syntax, let us create a collection with the document. The query to create a collection with a document is as follows −> db.comparingTwoFieldsDemo.insertOne({"StudentName":"John", "StudentAge":21, "StudentMathMarks":99, "StudentPhysicsMarks":98}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8ac09e6cea1f28b7aa0807") } > db.comparingTwoFieldsDemo.insertOne({"StudentName":"Carol", "StudentAge":22, "StudentMathMarks":79, "StudentPhysicsMarks":89}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8ac0b46cea1f28b7aa0808") } > db.comparingTwoFieldsDemo.insertOne({"StudentName":"David", "StudentAge":24, "StudentMathMarks":39, "StudentPhysicsMarks":45}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8ac0c96cea1f28b7aa0809") } > db.comparingTwoFieldsDemo.insertOne({"StudentName":"Bob", "StudentAge":23, "StudentMathMarks":87, "StudentPhysicsMarks":78}); {    "acknowledged" : ... Read More

You can remove an array element by its index using the following two steps −The first step is as follows −db.yourCollectionName.update({}, {$unset : {"yourArrayFieldName.yourIndexValue" : 1 }});The above syntax will put a null value at the location of ‘yourIndexValue’. After that, you need to pull the null value from array filed to remove from an array element.The second step is as follows −db.yourCollectionName.update({}, {$pull : {"yourArrayFieldName" : null}});To implement the syntax, let us create a collection with the document. The query to create a collection with a document is as follows −> db.removeArrayElementByItsIndexDemo.insertOne({"InstructorName":"David",    "InstructorAge":28, "InstructorSubject":["MongoDB", "MySQL", "Java", "SQL Server", ... Read More

Let us work around two cases −Case 1 − The syntax is as follows when the field is present and set to null.db.yourCollectionName.count({yourFieldName: null});Case 1 − The syntax is as follows when the field is not present and not set.db.yourCollectionName.count({yourFieldName: {$exists: false}});To understand both the above syntaxes, let us create a collection with the document. The query to create a collection with a document is as follows −> db.fieldIsNullOrNotSetDemo.insertOne({"EmployeeName":"Larry", "EmployeeAge":null, "EmployeeSalary":18500}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8a995c6cea1f28b7aa07fe") } > db.fieldIsNullOrNotSetDemo.insertOne({"EmployeeName":"Bob", "EmployeeAge":21, "EmployeeSalary":23500}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8a99836cea1f28b7aa07ff") } > db.fieldIsNullOrNotSetDemo.insertOne({"EmployeeName":"Carol", "EmployeeSalary":45500}); { ... Read More

To find items that do not have a certain field, use the $exists operator. The syntax is as follows −> db.yourCollectionName.find({"yourItemName":{$exists:false}}).pretty();To understand the syntax, let us create a collection with the document. The query to create a collection with a document is as follows −> db.findDocumentDoNotHaveCertainFields.insertOne({"UserId":101, "UserName":"John", "UserAge":21}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8a95fb6cea1f28b7aa07fb") } > db.findDocumentDoNotHaveCertainFields.insertOne({"UserName":"David", "UserAge":22, "UserFavouriteSubject":["C", "Java"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8a96116cea1f28b7aa07fc") } > db.findDocumentDoNotHaveCertainFields.insertOne({"UserName":"Bob", "UserAge":24, "UserFavouriteSubject":["MongoDB", "MySQL"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8a96306cea1f28b7aa07fd") }Display all documents from a collection with the help of find() method. The ... Read More

PyMongo is a Python distribution containing tools for working with MongoDB. To perform regex queries with PyMongo, the syntax is as follows −db.yourCollectionName.find({'yourCollectionName':{'$regex':'^yourWords'}}).pretty();The above syntax will give all those documents that start from a specific word.To understand the syntax, let us create a collection with the document. The query to create a collection with a document is as follows −> db.performRegex.insertOne({"ClientName":"Larry", "ClientFolderInformation":[    "Folder 1", "Folder 2", "Folder 3", "Folder 4", "Folder 5"], "MainFolderLocation":"/MainFolder/Details/ClientFolder" }); {    "acknowledged" : true,    "insertedId" : ObjectId("5c8a8b186cea1f28b7aa07f2") } > db.performRegex.insertOne({"ClientName":"Larry", "ClientFolderInformation":[    "ClientFolder 1", "ClientFolder 2", "ClientFolder 3", "ClientFolder 4", "ClientFolder 5"],   ... Read More

Both the getUsers() method and SHOW command can be used to list all users in the Mongo shell.Case 1 − Using getUsers()The syntax is as follows −db.getUsers();Case 2 − Using show commandThe syntax is as follows −show users;Let us implement both the syntaxes in order to list all users in the Mongo shell.Case 1 − The first query is as follows −> db.getUsers();The following is the output −[    {       "_id" : "test.John",       "user" : "John",       "db" : "test",       "roles" : [          {   ... Read More

In order to stop MongoDB in a single command, use the following syntax −mongo --eval "db.getSiblingDB('admin').shutdownServer()"Let us implement the above syntax in order to stop MongoDB in one command.First, use the shortcut key −Ctrl + C;The query is as follows −C:\Program Files\MongoDB\Server\4.0\bin>mongo --eval "db.getSiblingDB('admin').shutdownServer()"The following is the output − displaying the shutdown of the MongoDB server −MongoDB shell version v4.0.5 connecting to: mongodb://127.0.0.1:27017/?gssapiServiceName=mongodb Implicit session: session { "id" : UUID("c0337c02-7ee2-45d9-9349-b22d6b1ffe85") } MongoDB server version: 4.0.5 server should be down... 2019-03-14T21:56:10.327+0530 I NETWORK [js] trying reconnect to 127.0.0.1:27017 failed 2019-03-14T21:56:11.331+0530 I NETWORK [js] reconnect 127.0.0.1:27017 failed failed 2019-03-14T21:56:11.333+0530 I QUERY [js] ... Read More

To list all databases in the Mongo shell, you need to use show command. The syntax is as follows −show dbs;Let us implement the above syntax for MongoDB. The query is as follows −> show dbs;The following is the output −admin 0.000GB config 0.000GB local 0.000GB sample 0.000GB sampleDemo 0.000GB test 0.003GBIf you create a new database in MongoDB then it won’t be present in list of databases.Let us check the same. Create a new database −> use studentTracker; switched to db studentTrackerNow list all the databases from Mongo shell. The query is as follows −> show dbs;The following is ... Read More