I'm facing a challenge in my Flutter application where I need to efficiently manage memory usage while working with very large datasets in a ListView.
Imagine the following scenario:
- I have a remote data source containing potentially millions of items.
- My Flutter ListView initially displays a subset of this data (e.g., the first 50 items).
- As the user scrolls to the end of the ListView, I fetch the next batch of data (another 50 items) from the remote source and append it to the existing dataset.
My concern is about the potential memory overhead and performance impact of storing such a large dataset, especially as new data is dynamically loaded and appended to the existing dataset.
I want to ensure that the application remains responsive and memory-efficient, even when dealing with very large datasets. What are some best practices or strategies for managing memory usage in this scenario?
Additionally, I'd like to emphasize that my question is not about the implementation of lazy loading, paging, pagination, or infinite lists per se. I'm already familiar with these techniques. Rather, I'm specifically interested in understanding and addressing the potential memory problems that may arise each time a new dataset is fetched and appended to the main dataset.
Any insights, suggestions, or experiences shared would be greatly appreciated. Thank you for your help!