How to handle excessive JSON data in Ajax requests?

When JSON data is too large, it can cause delays in network transmission, affecting the loading speed of the page. To address this issue, consider the following methods:

1. Pagination: Divide large data into multiple smaller datasets, loading only a portion of data each time, gradually loading the remaining data as users scroll or click the “load more” button.
2. Lazy loading: Only load the data in the currently visible area, and load the next batch of data when users scroll or flip pages.
3. Data compression: compressing JSON data to reduce the data size. Compression algorithms such as Gzip or Deflate can be used.
4. Server side chunk processing: If the amount of data is too large, the data can be divided into chunks and processed on the server side to batch generate JSON data, which can then be retrieved in batches through AJAX requests.
5. Using Web Workers: processing JSON data in a background thread, without blocking the main thread, improves page performance.
6. Speed up with CDN: Store JSON data on a Content Delivery Network (CDN) and utilize its distributed nodes for faster transmission, reducing network latency.
7. Data caching: Store JSON data locally and retrieve it from the cache for subsequent requests, reducing network calls.
8. Data compression transmission: Reduce the size and delay of data transmission by using compression transfer protocols such as HTTP/2 or HTTP/3.

Considering the above methods, choose a solution that is suitable for your project needs to address the issue of excessive JSON data.