Consider a model where animals are classified into various categories with shared and unique characteristics. How would you implement this in Entity Framework while ensuring query performance?
- TPC: This strategy maps each concrete class to its own table, providing a clear separation of concerns and potentially simplifying queries.
- TPH: This strategy minimizes the number of tables in the database, leading to simpler queries and potentially better performance.
- TPT: This strategy ensures that each entity type has its own table, which can improve query performance by reducing the size of individual tables.
- Table Per Type (TPT) strategy: Creates a separate table for each type. Table Per Hierarchy (TPH) strategy: Combines all entity types into a single table. Table Per Concrete class (TPC) strategy: Creates a table for each concrete class in the inheritance hierarchy. Table Splitting: Splits the properties of a single entity into multiple tables.
In the scenario of animal classification, where various categories with shared and unique characteristics need to be represented, the Table Per Type (TPT) strategy would be effective. This strategy creates a separate table for each type, allowing for efficient queries on specific types without the overhead of unused columns or complex joins. By ensuring each entity type has its own table, TPT optimizes query performance and maintains a clear structure in the database schema.
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