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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
}
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