Design considerations and best practices for MongoDB modeling
When you're crafting data models in MongoDB, it's not just about representing the data—it's about doing so efficiently and effectively. The design decisions you make can greatly influence your application's performance, scalability, and maintainability. While MongoDB offers great flexibility, consider the following best practices while structuring your data to help achieve peak efficiency.
Read-write ratio
Understanding your application's read-write ratio can guide how data is stored and retrieved to optimize performance:
- Read considerations: When reading data in sharded clusters, you want to avoid the scatter-gather approach, where multiple shards are queried. Data modeling, especially the decision to embed related data within a single document, can help reduce the number of queries required to fetch related data. This provides performance benefits in terms of reduced I/O operations...
