What are some considerations for optimizing database table mappings in Entity Framework for better performance?
- Avoid over-fetching data by projecting only required columns in queries.
- Implement proper indexing on frequently queried columns to improve query performance.
- Minimize round trips to the database by batching multiple operations into a single transaction.
- Use eager loading to fetch related entities upfront instead of lazy loading.
When optimizing database table mappings in Entity Framework for better performance, it's essential to avoid over-fetching data by projecting only the required columns in queries. This reduces network overhead and improves query execution time. Additionally, using eager loading instead of lazy loading can help fetch related entities upfront, reducing the number of subsequent database calls. Implementing proper indexing on frequently queried columns enhances query performance by facilitating faster data retrieval. Minimizing round trips to the database by batching multiple operations into a single transaction reduces latency and improves overall throughput. These considerations help optimize the performance of Entity Framework applications by efficiently managing database interactions.
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