To slice only one element of array, use $slice in MongoDB. Let us create a collection with documents −> db.demo579.insertOne( ... { ... "_id" : 101, ... "details" : { "FirstName" : "John" }, ... "Marks" : [ 56,78,90,34,45,74 ] ... } ... ); { "acknowledged" : true, "insertedId" : 101 }Display all documents from a collection with the help of find() method −> db.demo579.find().pretty();This will produce the following output −{ "_id" : 101, "details" : { "FirstName" : "John" }, "Marks" : [ 56, 78, 90, 34, 45, 74 ] }Following is the query to slice only one the element of the array −> db.demo579.find({},{Marks : {$slice : 1} ,"details":0,"_id":0})This will produce the following output −{ "Marks" : [ 56 ] }
For this, use aggregate() along with $group. Let us create a collection with documents −> db.demo578.insertOne( ... { ... "_id" : 1, ... "Info" : { ... "firstName" : "Chris", ... "lastName" : "Brown" ... }, ... ... "achievements" : [ ... { ... "winner" : "10th", ... "year" : 2010, ... "by" : "School" ... ... Read More
To sort MongoDB collection by Array value, use aggregate() along with $sort. Let us create a collection with documents −> db.demo577.insertOne( ... { ... ... "student": { ... "details": [ ... { ... Name:"Chris", ... Score:45 ... }, ... { ... Name:"Bob", ... Score:33 ... ... Read More
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
If you want to set a hint for text area or input field, then use the HTML placeholder attribute. The hint is the expected value, which gets displayed before the user enters a value, for example, name, details, etc.ExampleYou can try to run the following code to learn how to use placeholder attribute in HTML. Register
Data Structure
Networking
RDBMS
Operating System
Java
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP