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How do you implement data preloading in case of slow API performance?
sobes.tech AI
Answer from AI
I use the following approaches:
- Caching:
- Caching data at the application level (Shared Preferences, Room Database).
- Using HTTP caching via OkHttp.
- Offline mode:
- Saving received data for later display without re-requesting from the API.
- Background loading:
- Using WorkManager or Coroutines for asynchronous data loading in the background before it is needed by the user.
- Progressive rendering:
- Displaying partially loaded data or placeholders during full data loading.
- Data quantization:
- Breaking large requests into smaller ones for faster loading and display.
- Network request optimization:
- Data compression.
- Using Protobuf instead of JSON for data transfer.
- Applying prefetching of relations (e.g., in GraphQL-based APIs).
Example of using Coroutines for background loading:
// suspending function for data loading
suspend fun loadDataInBackground(): List<Item> {
// Simulate slow loading
delay(2000)
// API call here
return listOf(Item("Item 1"), Item("Item 2"))
}
// Launch background loading at Activity/Fragment start
lifecycleScope.launch(Dispatchers.IO) {
val data = loadDataInBackground()
// Handle received data on the main thread
withContext(Dispatchers.Main) {
updateUI(data)
}
}
data class Item(val name: String)
fun updateUI(data: List<Item>) {
// Update UI with preloaded data
}