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Found 1349 Articles for MongoDB
258 Views
To determine if a specific value does not exist, use $ne in MongoDB. Let us create a collection with documents −> db.demo206.insertOne( ... { ... "ClientDetails": ... [ ... { ... "Name":"Chris", ... "Age":28, ... "CountryName":"US" ... } ... ] ... } ...); { "acknowledged" : true, "insertedId" : ObjectId("5e3d8bd403d395bdc21346ee") } > db.demo206.insertOne( ... { ... "ClientDetails": ... [ ... ... Read More
505 Views
To count records on the basis of matching criteria, use count(). Let us create a collection with documents −> db.demo205.insertOne( ... { ... ... "id": "101", ... "Name": "", ... "Age": "", ... "isActive": false ... } ...); { "acknowledged" : true, "insertedId" : ObjectId("5e3d8a3003d395bdc21346eb") } > db.demo205.insertOne( ... { ... ... "id": "102", ... "Name": "Chris", ... "Age": "25", ... "isActive": true ... } ...); { "acknowledged" : true, "insertedId" : ObjectId("5e3d8a3003d395bdc21346ec") } > db.demo205.insertOne( ... Read More
242 Views
To display only an element found in an array, use aggregate(). Let us create a collection with documents −> db.demo204.insertOne( ... { ... "_id" : 101, ... "Name" : "Chris", ... "Age" : 23, ... "details" : [ ... { ... "id" : "1001", ... "empId" : "John_1001", ... "salary" : "50000", ... "Technology" : "Java" ... }, ... ... Read More
635 Views
To query nested array, use $elemMatch in MongoDB. Let us create a collection with documents −> db.demo203.insertOne({ ... "_id" : "101", ... "Name" : "Chris", ... "details1" : [ ... { ... "empName" : "David", ... "salary" : "50000", ... "technology" : [ ... "MySQL", ... "MongoDB" ... ] ... }, ... { ... "empName" : "Carol", ... ... Read More
295 Views
For information on query plan, use explain() in MongoDB. Let us create a collection with documents −> db.demo202.insertOne({"StudentFirstName":"Chris", "StudentAge":21}); { "acknowledged" : true, "insertedId" : ObjectId("5e3c3bd103d395bdc21346e8") } > db.demo202.insertOne({"StudentFirstName":"David", "StudentAge":23}); { "acknowledged" : true, "insertedId" : ObjectId("5e3c3bd803d395bdc21346e9") } > db.demo202.insertOne({"StudentFirstName":"Bob", "StudentAge":22}); { "acknowledged" : true, "insertedId" : ObjectId("5e3c3bde03d395bdc21346ea") }Display all documents from a collection with the help of find() method −> db.demo202.find();This will produce the following output −{ "_id" : ObjectId("5e3c3bd103d395bdc21346e8"), "StudentFirstName" : "Chris", "StudentAge" : 21 } { "_id" : ObjectId("5e3c3bd803d395bdc21346e9"), "StudentFirstName" : "David", "StudentAge" : 23 } { "_id" : ObjectId("5e3c3bde03d395bdc21346ea"), "StudentFirstName" ... Read More
199 Views
To update only a specific value, use update() and in that set the new value using $set. Let us create a collection with documents −> db.demo201.insertOne({"ClientName":"Chris Brown", "ClientAge":26}); { "acknowledged" : true, "insertedId" : ObjectId("5e3c39ca03d395bdc21346e5") } > db.demo201.insertOne({"ClientName":"David Miller", "ClientAge":35}); { "acknowledged" : true, "insertedId" : ObjectId("5e3c39d403d395bdc21346e6") } > db.demo201.insertOne({"ClientName":"Carol Taylor", "ClientAge":28}); { "acknowledged" : true, "insertedId" : ObjectId("5e3c39e603d395bdc21346e7") }Display all documents from a collection with the help of find() method −> db.demo201.find();This will produce the following output −{ "_id" : ObjectId("5e3c39ca03d395bdc21346e5"), "ClientName" : "Chris Brown", "ClientAge" : 26 } { "_id" : ObjectId("5e3c39d403d395bdc21346e6"), ... Read More
378 Views
To filter multiple sub-documents in MongoDB, use aggregate(). Let us create a collection with documents −> db.demo200.insertOne( ... { ... "Id":"101", ... "details1":[ ... { ... "isActive":true, ... "SubjectName":"MySQL" ... }, { ... "isActive":false, ... "SubjectName":"Java" ... } ... ], ... "details2":[ ... { ... "isActive":false, ... ... Read More
225 Views
For aggregation in MongoDB, use aggregate(). Let us create a collection with documents −> db.demo199.insertOne( ... { ... "details1":{ ... "details2":{ ... "details3":{ ... "Name":"Chris", ... "details4":{ ... "details5":{ ... "v1":10, ... "v2":20, ... "v3":30 ... ... Read More
268 Views
For this, use $pull along with update. Let us create a collection with documents −> db.demo198.insertOne({"List":{"Values":[10, 20, 30, 30, 70, 80, 90]}}); { "acknowledged" : true, "insertedId" : ObjectId("5e3c224503d395bdc21346df") } > db.demo198.insertOne({"List":{"Values":[56, 978, 56, 34, 23, 34]}}); { "acknowledged" : true, "insertedId" : ObjectId("5e3c225403d395bdc21346e0") } > db.demo198.insertOne({"List":{"Values":[21, 12, 14, 15, 34, 56]}}); { "acknowledged" : true, "insertedId" : ObjectId("5e3c226603d395bdc21346e1") }Display all documents from a collection with the help of find() method −> db.demo198.find();This will produce the following output −{ "_id" : ObjectId("5e3c224503d395bdc21346df"), "List" : { "Values" : [ 10, 20, 30, 30, 70, 80, ... Read More
78 Views
No, using LIMIT() decreases the bandwidth consumption and it does not increase query speed. Let us see an example and create a collection with documents −> db.demo197.insertOne({"Name":"Chris"}); { "acknowledged" : true, "insertedId" : ObjectId("5e3afde803d395bdc21346d8") } > db.demo197.insertOne({"Name":"Bob"}); { "acknowledged" : true, "insertedId" : ObjectId("5e3afdef03d395bdc21346d9") } > db.demo197.insertOne({"Name":"David"}); { "acknowledged" : true, "insertedId" : ObjectId("5e3afdf203d395bdc21346da") } > db.demo197.insertOne({"Name":"Sam"}); { "acknowledged" : true, "insertedId" : ObjectId("5e3afdf603d395bdc21346db") } > db.demo197.insertOne({"Name":"Mike"}); { "acknowledged" : true, "insertedId" : ObjectId("5e3afdf903d395bdc21346dc") } > db.demo197.insertOne({"Name":"Carol"}); { "acknowledged" : true, "insertedId" : ObjectId("5e3afe1603d395bdc21346dd") } > db.demo197.insertOne({"Name":"John"}); { ... Read More