What are CRUD operations in MongoDB?
November 6, 2023
MongoDB, a popular NoSQL database, operates using documents (usually in a JSON-like format known as BSON) and collections instead of the typical rows and tables in relational databases. One of the fundamental aspects of using any database is the ability to Create, Read, Update, and Delete data – commonly referred to as CRUD operations. In MongoDB, these operations can be executed with a variety of methods.
In this guide, we will delve into each CRUD operation in MongoDB, and you'll learn how to effectively use them.
C - Create
Creating, or inserting, data is the act of adding new documents to a collection in MongoDB.
Insert One Document
To add a single document, you can use the
Insert Multiple Documents
If you have multiple documents, the
insertMany method is more suitable.
R - Read
Reading, or querying, data involves retrieving documents from a collection based on certain criteria.
Find One Document
To get a single document that matches a condition:
Find Multiple Documents
To retrieve multiple documents:
In this example, we're using the
$gt operator to find all documents where the age is greater than 25.
U - Update
Updating involves modifying existing documents in a collection.
Update One Document
To update a single document:
Here, we're using the
$set operator to modify the age of John Doe.
Update Multiple Documents
To update multiple documents:
D - Delete
Deleting is the removal of documents from a collection.
Delete One Document
To remove a single document:
Delete Multiple Documents
To remove multiple documents:
CRUD operations form the backbone of many applications, allowing for effective data management. With MongoDB's versatile methods and easy-to-understand syntax, performing CRUD operations is both straightforward and efficient.
Remember, while these examples demonstrate the basic usage of CRUD operations, MongoDB offers a wide range of querying and updating capabilities, including complex aggregations and atomic operations. Always refer to the official MongoDB documentation for a deep dive into advanced features and best practices.