Related Topics
MongoDB
React JS
Node JS
MongoDB
{
"_id": ObjectId("601e27e31234567890abcdef"),
"title": "My Blog Post",
"content": "This is the content of my blog post.",
"comments": [
{
"user": "John",
"comment": "Great post!"
},
{
"user": "Jane",
"comment": "Interesting read."
}
]
}
Embedding is efficient for read-heavy use cases, but it can lead to data duplication and increased document size if the embedded data is large or frequently updated.
2. Referencing: Referencing involves storing references to related data using the ObjectId of the target document. Instead of embedding the actual data, you store the reference to it. Referencing works well for many-to-many relationships or situations where the related data is large or frequently updated. It allows for more flexibility in managing the relationships.
// Blog Post document
{
"_id": ObjectId("601e27e31234567890abcdef"),
"title": "My Blog Post",
"content": "This is the content of my blog post.",
"author": ObjectId("602e2ff11234567890fedcba")
}
// Author document
{
"_id": ObjectId("602e2ff11234567890fedcba"),
"name": "John Doe",
"email": "john.doe@example.com"
}
By using references, you can query and retrieve related data separately, as needed. MongoDB allows you to perform efficient joins by resolving these references using the $lookup aggregation pipeline stage.
The choice between embedding and referencing depends on the specific requirements of your application, the nature of the relationships, and the expected read and write patterns. MongoDB offers flexibility in modeling data relationships, allowing you to choose the approach that best fits your use case.
Popular Category
Topics for You
React JS
Node JS
Go through our study material. Your Job is awaiting.