Kotlin Flow vs Android LiveData

Question

I have some questions about Kotlin Flow

1. I can observe LiveData from multiple Fragments. Can I do this with Flow? If yes then how?
2. We can have multiple LiveData from a single LiveData using map& switchMap. Is there any way to have multiple Flow from a single source Flow?
3. Using MutableLiveData I can update data from anywhere using the variable reference. Is there any way to do the same with Flow?

I have a use-case like: I will observe a SharedPreferences using callbackFlow{...} which will give me a single source Flow. From that Flow, I want to create multiple Flow for each key-value pair.

These might sound silly questions. I am new to Rx and Flow world.

Answer 1

I can observe LiveData from multiple Fragments. Can I do this with Flow? If yes then how?

Yes. You can do this with emit and collect. Think emit is similar to live data postValue and collect is similar to observe. Lets give an example.

Repository

// I just faked the weather forecast
val weatherForecast = listOf("10", "12", "9")

// This function returns flow of forecast data
// Whenever the data is fetched, it is emitted so that
// collector can collect (if there is any)
fun getWeatherForecastEveryTwoSeconds(): Flow<String> = flow { 
    for (i in weatherForecast) {
        delay(2000)
        emit(i)
    }
}

ViewModel

fun getWeatherForecast(): Flow<String> {
    return forecastRepository.getWeatherForecastEveryTwoSeconds()
}

Fragment

override fun onViewCreated(view: View, savedInstanceState: Bundle?) {
    // Collect is suspend function. So you have to call it from a 
    // coroutine scope. You can create a new coroutine or just use 
    // lifecycleScope
    // https://developer.android.com/topic/libraries/architecture/coroutines
    viewLifecycleOwner.lifecycleScope.launch {
            viewModel.getWeatherForecast().collect {
                    // Use the weather forecast data
                    // This will be called 3 times since we have 3 
                    // weather forecast data
            }
    }
}

We can have multiple LiveData from a single LiveData using map& switchMap. Is there any way to have multiple Flow from a single source Flow?

Flow is very handy. You can just create flow inside flow. Lets say you want to append degree sign to each of the weather forecast data.

ViewModel

fun getWeatherForecast(): Flow<String> {
    return flow {
        forecastRepository
            .getWeatherForecastEveryTwoSeconds(spendingDetailsRequest)
                .map {
                    it + " °C"
                }
                .collect {
                    // This will send "10 °C", "12 °C" and "9 °C" respectively
                    emit(it) 
                }
    }
}

Then collect the data in Fragment same as #1. Here what happens is view model is collecting data from repository and fragment is collecting data from view model.

Using MutableLiveData I can update data from anywhere using the variable reference. Is there any way to do the same with Flow?

You cant emit value outside of flow. The code block inside flow is only executed when there is any collector. But you can convert flow to live data by using asLiveData extension from LiveData.

ViewModel

fun getWeatherForecast(): LiveData<String> {
    return forecastRepository
    .getWeatherForecastEveryTwoSeconds()
    .asLiveData() // Convert flow to live data
}

In your case you can do this

private fun getSharedPrefFlow() = callbackFlow {
    val sharedPref = context?.getSharedPreferences("SHARED_PREF_NAME", MODE_PRIVATE)
    sharedPref?.all?.forEach {
        offer(it)
    }
}

getSharedPrefFlow().collect {
    val key = it.key
    val value = it.value
}

Edit

Thanks to @mark for his comment. Creating a new flow in the view model for getWeatherForecast function is actually unnecessary. It could be re-written as

fun getWeatherForecast(): Flow<String> {
        return forecastRepository
                .getWeatherForecastEveryTwoSeconds(spendingDetailsRequest)
                    .map {
                        it + " °C"
                    }
    }