What are the best practices for MongoDB schema design?

What are the best practices for MongoDB schema design?

When designing a MongoDB schema, consider the following best practices: 1. Use embedded documents for related data, 2. Keep documents small, 3. Use references for large datasets, 4. Design for your queries, and 5. Avoid deep nesting.

Can you explain why keeping documents small is important?

Keeping documents small is crucial because it improves performance. Smaller documents are faster to read and write, and they help reduce memory usage, which is especially important in high-traffic applications.

What do you mean by designing for your queries?

Designing for your queries means structuring your schema based on how you plan to access the data. This can involve denormalization or embedding data to optimize read operations.

Are there any common pitfalls to avoid in MongoDB schema design?

Yes, common pitfalls include overusing embedding, which can lead to large documents, and underusing references, which can complicate data retrieval. It's also important to avoid deep nesting, as it can make updates more complex.