// 1) Write a query to change the book copies to 2800 and increase the book price by 3000 for the BookCategory "Action and Adventure". // 2) Display all the documents in the books collection. // Collection Name: books // The structure of the document is given below: // { // "_id" : 1, // "BookId" : "ISBN:B001012:29836", // "BookTitle" : "Absalom, Absalom!", // "BookAuthor" : "William Faulkner", // "BookCategory" : "Action and Adventure", // "BookPrice" : 2387, // "BookCopies":4000, // "PublishDate" : ISODate("1931-12-30T00:00:00Z") // } db.employees.updateOne([{BookCategory:'Action and Adventure'},{$inc:{BookCopies:2800},{BookPrice:3000}}]); db.employees.find();
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MongoDB is a cross platform document oriented NoSQL database.
db.collection.insert()
: Using insert
you can either insert one document or array of documentsdb.employees.insert( {empId: 3, name: 'Ava', dept: 'Sales' });
db.collection.insertOne()
: Inserts one documentdb.employees.insertOne( {empId: 4, name: 'Nick', dept: 'Accounting' });
db.collection.insertMany
: Inserts multiple documentsdb.employees.insertMany([
{empId: 1, name: 'Clark', dept: 'Sales' },
{empId: 2, name: 'Dave', dept: 'Accounting' }
]);
db.collection.update()
: Updates one or more than one document(s) in collection based on matching document and based on multi
optiondb.employees.update(
{empId: 3 },
{ $set: { region: "Asia" } }
);
db.collection.updateOne()
: Updates a single document in collection based on matching documentdb.employees.updateOne(
{empId: 2 },
{ $set: { region: "Asia" } }
);
db.collection.updateMany()
: Updates multiple documents in collection based on the condition.db.employees.updateMany(
{ dept: 'Sales'},
{ $set: { region: "US" } }
);
db.collection.deleteOne(<filter>, <options>)
: Deletes a Single document from collectiondb.employees.deleteOne({ empId: 1})
db.collection.deleteMany(<filter>, <options>)
: Deletes all documents with matching filterdb.employees.deleteMany({ dept: 'Sales'})