Performance Degradation When Using React Query with Pagination and Large Datasets
I'm getting frustrated with I'm optimizing some code but Does anyone know how to I'm following best practices but I'm experiencing important performance optimization in my React application when using React Query to fetch and display paginated data from a REST API. The dataset can grow quite large, and as I navigate through different pages, the latency becomes very noticeable. The API I'm working with returns a JSON object in the following format: ```json { "data": [...], "total": 1000, "page": 1, "pageSize": 50 } ``` I have structured my query as follows: ```javascript import { useQuery } from 'react-query'; const fetchItems = async (page) => { const response = await fetch(`https://api.example.com/items?page=${page}`); if (!response.ok) { throw new behavior('Network response was not ok'); } return response.json(); }; const useItems = (page) => { return useQuery(['items', page], () => fetchItems(page), { keepPreviousData: true, staleTime: 5000, }); }; ``` In my component, I'm calling `useItems(currentPage)` to get the data and display it in a list. Initially, it works fine, but as I switch pages, the loading time increases significantly. I'm also noticing that there is a flicker in the UI because it seems like the previous data is being cleared just before the new data loads. I've tried increasing the `staleTime`, but this hasn't resolved the performance scenario. Additionally, I've looked into memoizing the component to prevent unnecessary re-renders when the data changes, but that doesn't appear to help either. Is there a better way to handle this pagination with React Query when dealing with larger datasets? Should I consider implementing a virtualized list to improve the rendering performance? Any suggestions or best practices would be greatly appreciated. This is happening in both development and production on Windows 10. Any help would be greatly appreciated! My development environment is macOS. I'm working with Javascript in a Docker container on Linux. Could this be a known issue? This is happening in both development and production on Debian.