I’m working on a Android project using coroutines and I have a sequence of operations that involve both IO-bound and CPU-bound tasks. Here’s what my process looks like:
- Fetch data from the network (IO-bound).
- Parse the fetched data (CPU-bound).
- Save the parsed data to a database (IO-bound).
- Retrieve the saved data from the database (IO-bound).
Initially, I planned to execute the entire process inside a withContext(Dispatcher.IO)
block. However, I’m uncertain if this is the best approach, particularly for the parsing step, which is CPU-intensive.
Here’s a simplified version of my current code:
viewModelScope.launch {
withContext(Dispatcher.IO) {
// Step 1: Get data from the network (IO-bound)
val data = fetchDataFromNetwork()
// Step 2: Parse the data (CPU-bound)
val parsedData = parseData(data)
// Step 3: Save parsed data to the database (IO-bound)
saveDataToDatabase(parsedData)
// Step 4: Retrieve data from the database (IO-bound)
val retrievedData = getDataFromDatabase()
// Step 5: Use the retrieved data
useRetrievedData(retrievedData)
}
}
I’ve read that CPU-intensive tasks should be executed on Dispatcher.Default to avoid blocking IO threads, but I’m not entirely sure if it’s necessary in this case. My questions are:
What exactly qualifies as a CPU-intensive task in the context of coroutines?
Would parsing data be considered a CPU-intensive task?
Should I move the parsing step to Dispatcher.Default, and if so, what would be the optimal way to structure my coroutine?
My intention was to use to execute a use case under one Dispacter.IO
suspend fun <T : UseCase.RequestValue, R> executeNow(useCase: UseCase<T, R>, values: T): Result<R>
{
useCase.requestValues = values
return withContext(Dispatchers.IO) {
useCase.run()
}
}
Now the usecase would be running inside a IO thread, and inside the usecase when the repository got the value from network, should I switch inside the IO thread to an Default thread for parsing, the retrieved data to object my model? Or is optimal to do the work in IO thread itself?