Let us create a collection with documents −> db.demo576.insertOne({id:101, Name:"Chris", Marks:45}){    "acknowledged" : true, "insertedId" : ObjectId("5e916c3b581e9acd78b427fa") } > db.demo576.insertOne({id:101, Name:"John", Marks:55}){    "acknowledged" : true, "insertedId" : ObjectId("5e916c43581e9acd78b427fb") } > db.demo576.insertOne({id:101, Name:"John", Marks:65}){    "acknowledged" : true, "insertedId" : ObjectId("5e916c47581e9acd78b427fc") } > db.demo576.insertOne({id:102, Name:"David", Marks:37}){    "acknowledged" : true, "insertedId" : ObjectId("5e916c55581e9acd78b427fd") } > db.demo576.insertOne({id:102, Name:"David", Marks:75}){    "acknowledged" : true, "insertedId" : ObjectId("5e916c5e581e9acd78b427fe") }Display all documents from a collection with the help of find() method −> db.demo576.find();This will produce the following output −{ "_id" : ObjectId("5e916c3b581e9acd78b427fa"), "id" : 101, "Name" : "Chris", "Marks" : 45 } { ... Read More

Let us create a collection with documents −> db.demo575.insertOne({id:101, Information:{Name:"Chris", Age:21}});{    "acknowledged" : true, "insertedId" : ObjectId("5e916a55581e9acd78b427f7") } > db.demo575.insertOne({id:102, Information:{Name:"David", Age:20}});{    "acknowledged" : true, "insertedId" : ObjectId("5e916a5f581e9acd78b427f8") } > db.demo575.insertOne({id:101, Information:{Name:"Bob", Age:23}});{    "acknowledged" : true, "insertedId" : ObjectId("5e916a67581e9acd78b427f9") }Display all documents from a collection with the help of find() method −> db.demo575.find();This will produce the following output −{ "_id" : ObjectId("5e916a55581e9acd78b427f7"), "id" : 101, "Information" : { "Name" : "Chris", "Age" : 21 } } { "_id" : ObjectId("5e916a5f581e9acd78b427f8"), "id" : 102, "Information" : { "Name" : "David", "Age" : 20 } } { "_id" ... Read More

To match all the values in MongoDB, use $match along with $and in Aggregation. Let us create a collection with documents −> db.demo574.insertOne( ...    { ...       "details1": { ...          "details2": { ...             "dueDate": new ISODate("2020-01-10"), ...             "Name": "Chris", ... ...             "UserInformation": { ...                "Name": "John", ...                "Marks": 78 ...             }, ...       ... Read More

For this, use $push along with update. Let us create a collection with documents −> db.demo573.insertOne( ...    { ...       '_id' :101, ...       'SearchInformation' : [ ...          { ...             'Site' : 'Facebook.com', ...             'NumberOfHits' : 100 ...          }, ...          { ...             'Site' : 'Twitter.com', ...             'NumberOfHits' : 300 ...          } ...       ... Read More

For case, insensitive search, use regex in find() method. Following is the syntax −db.demo572.find({"yourFieldName" : { '$regex':/^yourValue$/i}});To understand the above syntax, let us create a collection with documents −> db.demo572.insertOne({"CountryName":"US"});{    "acknowledged" : true, "insertedId" : ObjectId("5e915f0e581e9acd78b427f1") } > db.demo572.insertOne({"CountryName":"UK"});{    "acknowledged" : true, "insertedId" : ObjectId("5e915f17581e9acd78b427f2") } > db.demo572.insertOne({"CountryName":"Us"});{    "acknowledged" : true, "insertedId" : ObjectId("5e915f1b581e9acd78b427f3") } > db.demo572.insertOne({"CountryName":"AUS"});{    "acknowledged" : true, "insertedId" : ObjectId("5e915f20581e9acd78b427f4") } > db.demo572.insertOne({"CountryName":"us"});{    "acknowledged" : true, "insertedId" : ObjectId("5e915f25581e9acd78b427f5") }Display all documents from a collection with the help of find() method −> db.demo572.find();This will produce the following output −{ "_id" : ObjectId("5e915f0e581e9acd78b427f1"), ... Read More

To find values above a specific value, the following is the syntax using $gte in MongoDB −db.yourCollectionName.find({yourFieldName:{$gte:yourValue}});Let us create a collection with documents −> db.demo571.insertOne({"Price":140});{    "acknowledged" : true, "insertedId" : ObjectId("5e909b3439cfeaaf0b97b587") } > db.demo571.insertOne({"Price":100});{    "acknowledged" : true, "insertedId" : ObjectId("5e909b3639cfeaaf0b97b588") } > db.demo571.insertOne({"Price":110});{    "acknowledged" : true, "insertedId" : ObjectId("5e909b3839cfeaaf0b97b589") } > db.demo571.insertOne({"Price":240});{    "acknowledged" : true, "insertedId" : ObjectId("5e909b3c39cfeaaf0b97b58a") }Display all documents from a collection with the help of find() method −> db.demo571.find();This will produce the following output −{ "_id" : ObjectId("5e909b3439cfeaaf0b97b587"), "Price" : 140 } { "_id" : ObjectId("5e909b3639cfeaaf0b97b588"), "Price" : 100 } { "_id" : ... Read More

For this, use aggregate() in MongoDB. Let us create a collection with documents −> db.demo718.insertOne( ...    { ...       "id":101, ...       "details": ...       { ...          "OtherDetails": ["Chris", "Mike", "Sam"], "GroupName": ["Group-1"], "Info": [] ...       } ...    } ... ); {    "acknowledged" : true,    "insertedId" : ObjectId("5eaae25843417811278f5880") } > db.demo718.insertOne( ...    { ...       "id":102, ...       "details": ...       { ...          "OtherDetails": ["Chris", "David"], "GroupName": ["Group-1"], "Info": [] ...   ... Read More

For aggregation, use aggregate() in MongoDB. Group the dates with $group. Let us create a collection with documents −> db.demo717.insertOne( ...    { ...       "shippingdetails": ...       [ ...          { ...             duedate:"2020-04-29 22:33:04", ...          }, ...          { ...             duedate:"2020-03-29 22:33:04", ...          }, ...          { ...             duedate:"2020-04-29 22:33:04", ...          }, ...       ... Read More

Use the following syntax to create hierarchical JSON in MongoDB −db.demo716.insertOne(    {       yourFieldName1,       yourFieldName2,       .       .       N,       "fieldName": {          yourFieldName1,          yourFieldName2,          .          .          N,          "fieldname":          [             {                yourFieldName1,                yourFieldName2,         ... Read More

To remove an object in a child collection, use $pull in MongoDB. Let us create a collection with documents −> db.demo715.insertOne({ ...    _id:1, ...    details : ...    [ ...       { 'id' : '101', ...       'Information' : [ ...          { ...             'studentid' : '102', ...             "Name":"Bob" ...          }, ...          { ...             'studentid' : '103', ...             "Name":"Chris" ... Read More