To get the latest set of data from data records, use sort() and -1. For only a single data i.e. document, use LIMIT(1). Let us create a collection with documents −> db.demo521.insertOne({"PurchaseDate":new ISODate("2019-01-10"), "ProductName":"Product-1"});{    "acknowledged" : true, "insertedId" : ObjectId("5e89a1acb3fbf26334ef6117") } > db.demo521.insertOne({"PurchaseDate":new ISODate("2020-04-05"), "ProductName":"Product-10"});{    "acknowledged" : true, ... Read More

Let us create a collection with documents −> db.demo520.insertOne({"ListOfName":["John", "Bob"]});{    "acknowledged" : true,    "insertedId" : ObjectId("5e899fb4b3fbf26334ef6114") } > db.demo520.insertOne({"ListOfName":["Chris", "David"]});{    "acknowledged" : true,    "insertedId" : ObjectId("5e899fbfb3fbf26334ef6115") } > db.demo520.insertOne({"ListOfName":["Mike", "Bob"]});{    "acknowledged" : true,    "insertedId" : ObjectId("5e899fc7b3fbf26334ef6116") }Display all documents from a collection with the ... Read More

For text search in MongoDB with Regular Expression, use $regex. Let us create a collection with documents −> db.demo519.insertOne({"Value":"50, 60, 70"});{    "acknowledged" : true,    "insertedId" : ObjectId("5e88b9c0b3fbf26334ef6111") } > db.demo519.insertOne({"Value":"80, 90, 50"});{    "acknowledged" : true,    "insertedId" : ObjectId("5e88b9c7b3fbf26334ef6112") } > db.demo519.insertOne({"Value":"10, 30, 40"});{    "acknowledged" : ... Read More

To delete by _id, use remove() in MongoDB. Following is the syntax −db.yourCollectionName.remove({_id:yourObjectId});To understand the above syntax, let us create a collection with documents −> db.demo518.insertOne({"ClientName":"Chris"});{    "acknowledged" : true,    "insertedId" : ObjectId("5e88b02db3fbf26334ef610e") } > db.demo518.insertOne({"ClientName":"Bob"});{    "acknowledged" : true,    "insertedId" : ObjectId("5e88b030b3fbf26334ef610f") } > db.demo518.insertOne({"ClientName":"David"});{    "acknowledged" ... Read More

To change the field name, use the $project. Let us create a collection with documents −> db.demo517.insertOne({"Name":"Chris Brown"});{    "acknowledged" : true,    "insertedId" : ObjectId("5e88a2a2987b6e0e9d18f595") } > db.demo517.insertOne({"Name":"David Miller"});{    "acknowledged" : true,    "insertedId" : ObjectId("5e88a2ab987b6e0e9d18f596") } > db.demo517.insertOne({"Name":"John Doe"});{    "acknowledged" : true,    "insertedId" : ObjectId("5e88a2b1987b6e0e9d18f597") ... Read More

To update with search criteria, use findAndModify() in MongoDB. Let us create a collection with documents −> db.demo516.insertOne({"Name":"John", "Age":22, "Score":56});{    "acknowledged" : true,    "insertedId" : ObjectId("5e889fdb987b6e0e9d18f591") } > db.demo516.insertOne({"Name":"John", "Age":23, "Score":67});{    "acknowledged" : true,    "insertedId" : ObjectId("5e889ff1987b6e0e9d18f592") } > db.demo516.insertOne({"Name":"John", "Age":22, "Score":56});{    "acknowledged" : true, ... Read More

To unwind, use $unwind. The $unwind deconstructs an array field from the input documents to output a document for each element.Let us create a collection with documents −> db.demo515.insertOne( ... { ...    "details1": [ ...       "4700100004" ...    ], ...    "details2": [ ...     ... Read More

Send the name with $regex in MongoDB to find a name similar to the input. Let us create a collection with documents −> db.demo514.insertOne({"Information":{"FullName":"John Doe"}});{    "acknowledged" : true,    "insertedId" : ObjectId("5e885116987b6e0e9d18f58c") } > db.demo514.insertOne({"Information":{"FullName":"John Smith"}});{    "acknowledged" : true,    "insertedId" : ObjectId("5e88515e987b6e0e9d18f58d") } > db.demo514.insertOne({"Information":{"FullName":"john doe"}});{   ... Read More

To sum values in different documents, use MongoDB $group. Let us create a collection with documents −> db.demo512.insertOne({"Name":"Chris", "Score1":45, "Score2":65, "CountryName":"US"});{    "acknowledged" : true,    "insertedId" : ObjectId("5e884d96987b6e0e9d18f588") } > db.demo512.insertOne({"Name":"Chris", "Score1":41, "Score2":45, "CountryName":"US"});{    "acknowledged" : true,    "insertedId" : ObjectId("5e884da2987b6e0e9d18f589") } > db.demo512.insertOne({"Name":"Bob", "Score1":75, "Score2":55, "CountryName":"US"});{   ... Read More

For specific documents, use MongoDB $in. Let us create a collection with documents −> db.demo511.insertOne({"ListOfProject":["Library Management System", "Hospital Management System"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e88473a987b6e0e9d18f585") } > db.demo511.insertOne({"ListOfProject":["Online Web Tracking", "Library Management System"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e884751987b6e0e9d18f586") } > db.demo511.insertOne({"ListOfProject":["Online Shopping ... Read More