What is the most effective method for updating paginated data on the client side?

I am working with a REST API that utilizes server-side pagination to return data consisting of items like ID and name. Additionally, there is a 'nextToken' provided which acts as a cursor for navigating through the data.

{
  items: [
    {
      id: 1,
      name: 1
    },
    {
      id: 2,
      name: 2
    }
  ],
  nextToken: <some-hash-key> // cursor-based
}

Now, the challenge is how the client application should refresh its list in case the resource gets updated without the client being informed (a pull model situation). I have come up with a couple of ideas:

  1. Periodically fetch all resources, say every 10 seconds.
  2. Maintain a session ID that changes every N minutes. Upon creating a new session, retrieve all resources.

Both these approaches share a common core concept but differ in their implementation nuances. The first option incurs higher costs but provides more real-time updates while the second one relies on session IDs, offering a more idiomatic solution albeit sacrificing real-time updates. Are there any alternate approaches worth considering?

Answer №1

Real-time updates are better supported by sockets rather than REST APIs.

Answer №2

Updating every single client-side update in real-time is not feasible on a scalable level, therefore updates must occur at set intervals. The length of these interval times should be determined based on the available information.

To achieve this, consider implementing a straightforward integration such as utilizing https://socket.io combined with a cron architectural setup to broadcast updates periodically.

Answer №3

One way to enhance efficiency is by versioning your list and periodically sending If-None-Match request headers in GET requests every few seconds or minutes. By responding with a 304 status code when the content is not modified, you can save bandwidth. Alternatively, if there are updates, respond with new data. However, this approach may not be scalable in the long run. A more scalable solution would be to utilize websockets for real-time updates. Additionally, since REST sessions are stateless, managing session states becomes unnecessary.

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