Suppose you are developing a Spring Boot application using Spring Data JPA and are experiencing performance issues due to the loading of a large dataset. How would you optimize the data loading to mitigate the performance issues?
- Implement pagination with the appropriate method in Spring Data JPA.
- Increase the memory allocation for the application to accommodate the large dataset in memory.
- Use a non-relational database to store the large dataset.
- Use optimistic locking to ensure that only one user can access the dataset at a time, reducing contention.
To optimize the loading of a large dataset, you should implement pagination using the appropriate method in Spring Data JPA. This allows you to retrieve data in smaller chunks, improving performance. Using a non-relational database or increasing memory allocation may not be the best solutions, and optimistic locking is typically used for handling concurrent access but may not directly address performance issues related to large datasets.
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