MongoDB Indexing
Indexing enhances query performance and allows for efficient data retrieval in MongoDB
Create a single field index on the ‘username’ field in the ‘users’ collection
db.users.createIndex({ username: 1 })
Get the list of indexes on the ‘users’ collection
db.users.getIndexes()
Drop the index on the ‘username’ field in the ‘users’ collection
db.users.dropIndex("username_1")
Create a compound index on the ‘title’ and ‘content’ fields in the ‘posts’ collection
db.posts.createIndex({ title: 1, content: 1 })
Create a multikey index on the ‘tags’ array field in the ‘posts’ collection
db.posts.createIndex({ tags: 1 })
Create a text index on the ‘content’ field in the ‘posts’ collection
db.posts.createIndex({ content: "text" })
Create a unique index on the ’email’ field in the ‘users’ collection
db.users.createIndex({ email: 1 }, { unique: true })
We use createIndex() to create various types of indexes, such as single field, compound, multikey, text, and unique indexes. getIndexes() retrieves the list of indexes on a collection. dropIndex() drops an index by its name.
MongoDB Cheat Sheet
MongoDB is a document-oriented NoSQL database that revolutionizes data storage with its flexibility and scalability. By storing data in JSON-like documents, MongoDB offers developers a powerful and intuitive way to handle complex data structures. From basic CRUD operations to advanced aggregation techniques, MongoDB empowers users to build robust and dynamic applications with ease.
In this MongoDB cheat sheet, we’ll delve into MongoDB’s key concepts, including data types, CRUD operations, query techniques, aggregation framework, indexing strategies, transaction support, and data modeling approaches. Each section is packed with examples and explanations to help you grasp MongoDB’s functionalities quickly and efficiently.