In a scenario where you need to seed a large amount of data during initial database setup, what considerations should be taken into account to ensure performance and accuracy?
- Breaking seeding process into smaller batches
- Implementing data validation checks
- Using synchronous seeding methods
- Utilizing bulk insert operations
Seeding a large amount of data can impact performance, so utilizing bulk insert operations can significantly improve efficiency by reducing round-trips to the database. Additionally, it's crucial to ensure data accuracy by implementing proper validation checks during the seeding process. Asynchronous seeding methods can enhance performance but might sacrifice data accuracy due to concurrent operations. Breaking the seeding process into smaller batches helps mitigate performance issues and allows for better error handling.
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