Use schema design patterns to optimize your data model based on how your application queries and uses data.
- Handle Computed Values
- Perform calculations in the database so results are ready when the client requests data.
- Group Data
- Group data into series to improve performance and account for outliers.
- Polymorphic Data
- Handle variable document fields and data types in a single collection.
- Document and Schema Versioning
- Prepare for schema changes to account for changing technical requirements.
- Archive Pattern
- Move old data to a separate location to increase storage and improve performance where data is accessed most frequently.
- Single Collection Pattern
- Use references to group related documents of different types into a single collection.