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

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

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

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

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

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

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

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

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

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