Consider a scenario where an application retrieves a large amount of data from a database and displays it in a UI paginated form. How would you efficiently manage and optimize data retrieval and display using JDBC?
- Implementing client-side caching of database results to improve data retrieval speed for pagination.
- Loading all data into memory and applying pagination through custom code to limit the data displayed in the UI.
- Retrieving all data at once and performing pagination on the client side using Java collections.
- Using JDBC ResultSet's pagination features, like setFetchSize, to fetch data in smaller chunks from the database.
When dealing with large data sets, it's essential to retrieve and display data efficiently. JDBC provides features like setFetchSize to fetch data in smaller portions, reducing memory usage and improving performance. Retrieving all data at once can lead to memory issues. Client-side caching can help, but it may not be suitable for very large datasets. Understanding these JDBC features is crucial for optimization.
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