Develop Reference

Flow.collect blocking the main thread

I've the following code that seems to blocking the main thread even though the flow is called on IO coroutine. I'm a kotlin and flow noob. What am I doing wrong here that's blocking the main thread?
Repository:
fun observeData(): Flow<Data> {
return flow {
//third party api is getting data from a ContentProvider
ThirdPartyApi.getData().map { convertFromExternalModelToDataModel(it) }
.collect {
emit(it)
}
}
}
ViewModel:
fun updateUI() {
scope.launch(Dispatchers.IO) {
repository.observerData().collect {
withContext(Dispatchers.Main) {
textView.text = data.name
}
}
}
}
Upon running the following code it I see logs from Android Choreographer "Skipped 200 frames. App is going too much work on main thread"

To collect the data stream with Kotlin Flows as they're emitted, use collect. And as collect is a suspending function, it needs to be executed within a coroutine. It takes a lambda as a parameter that is called on every new value. Since it's a suspend function, the coroutine that calls collect may suspend until the flow is closed.
And you shouldn't be updating your UI inside a ViewModel.
In this case we collect flow inside an activity's lifecycle scope that is main safe and has activity's lifecycle awareness.
And to make our service or repository to execute in a different CouroutineContext, use the intermediate operator flowOn.
flowOn changes the CoroutineContext of the upstream flow, meaning the producer and any intermediate operators applied before (or above) flowOn.
The downstream flow (the intermediate operators after flowOn along with the consumer) is not affected and executes on the CoroutineContext used to collect from the flow.
ViewModel:
fun getData():Flow<Data> = repository.observeData() // Execute on the io dispatcher
// flowOn affects the upstream flow ↑
.flowOn(Dispatchers.IO)
// the downstream flow ↓ is not affected
.catch { exception -> // Executes in the consumer's context
emit(Data())
}
Activity:
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
lifecycleScope.launch { // Consumer's context
viewModel.getData().collect { // Suspended
textView.text = data.name // Collect on consumer's context
}
}
}

How to use a callback in specific thread in order to wait for it in the main thread?

First question here, I will do my best.
I have a Data class that retrieve a data object with firestore at the creation.
I have done some code to the setters with coroutines. I am not sure of my solution but it is working. However, for the getters, I am struggling to wait the initialisation.
In the initialisation, I have a callback to retrieve the data. The issue that the callback is always called from the main thread, event if I use it in a coroutine in another thread. I check this with:
Log.d("THREAD", "Execution thread1: "+Thread.currentThread().name)
For the setter I use a coroutine in useTask to not block the main thread. And a mutex to block this coroutine until the initialisation in the init is done. Not sure about waitInitialisationSuspend but it is working.
But for the getter, I just want to block the main thread (even if it is bad design, it is a first solution) until the initialisation is done, and resume the getter to retrieve the value.
But I am not enable to block the main thread without also blocking the callback in the initialisation because there are in the same thread.
I have read many documentation about coroutine, scope, runBlocking, thread etc. but everything gets mixed up in my head.
class Story(val id: String) : BaseObservable() {
private val storyRef = StoryHelper.getStoryRef(id)!!
private var isInitialized = false
private val initMutex = Mutex(true)
#get:Bindable
var dbStory: DbStory? = null
init {
storyRef.get().addOnCompleteListener { task ->
if (task.isSuccessful && task.result != null) {
dbStory = snapshot.toObject(DbStory::class.java)!!
if (!isInitialized) {
initMutex.unlock()
isInitialized = true
}
notifyPropertyChanged(BR.dbStory)
}
}
}
fun interface StoryListener {
fun onEvent()
}
private fun useTask(function: (task: Task) -> Unit): Task {
val task = Task()
GlobalScope.launch {
waitInitialisationSuspend()
function(task)
}
return task
}
private suspend fun waitInitialisationSuspend()
{
initMutex.withLock {
// no op wait for unlock mutex
}
}
fun typicalSetFunction(value: String) : Task {
return useTask { task ->
storyRef.update("fieldName", value).addOnSuccessListener {
task.doEvent()
}
}
}
fun typicalGetFunction(): String
{
var result = ""
// want something to wait the callback in the init.
return result
}
}
RunBlocking seems to block the main tread, so I can not use it if the callback still use the main thread.
It is the same problem if I use a while loop in main thread.
#1
runBlocking {
initMutex.withLock {
result = dbStory!!.value
}
}
#2
while (!isInitialized){
}
result = dbStory!!.value
#3
Because maybe the callback in the init is in the main thread also. I have tried to launch this initialisation in a coroutines with a IO dispatcher but without success. The coroutine is well in a different thread but the callback still called in the main thread.
private val scope = CoroutineScope(Dispatchers.IO + SupervisorJob())
scope.launch() {
reference.get().addOnCompleteListener { task ->
In the getter, I have to work with the main thread. The solution is maybe to put the callback execution in another thread but I do not know how to do this. And maybe there is a better solution.
Another solution will be te be able to wait the callback in the main thread without blocking the callback but I have no solution for this.
Any ideas ?

I have loocked for many solutions and the conclusion is, don't do it.
This design is worse than I thougt. Android does not want you to block the main thread even for a short time. Blocking the main thread is blocking all UI and synchronisation mecanism, it is really bad solution.
Even using another thread for the callback (that you can do with an Executor) is, I think, a bad idea here. The good way to wait the end of the task in the callback is to retrieve the task and use:
Tasks.await(initTask)
But it is not allowed in the main thread. Android prevent you to do bad design here.
We should deal with the asynchronous way to manage firebase data base, it is the best way to do that.
I can still use my cache on the data. Here I was waiting to display a dialog with a text I retrieve in firebase. So, I can just display the dialog asynchronously when the text data is retrieved. If the cache is available, it will use it.
Keep also in mind that firebase seems to have some API to use a cache.

Why does viewModelScope.launch run on the main thread by default

While I was learning coroutines and how to properly use them in an android app I found something I was surprised about.
When launching a coroutine using viewModelScope.launch { } and setting a breakpoint inside the launch lambda I noticed my app wasn't responsive anymore because it was still on the main thread.
This confuses me because the docs of viewModelScope.launch { } clearly state:
Launches a new coroutine without blocking the current thread
Isn't the current thread the main thread ? What is the whole purpose of launch if it doesn't run on a different thread by default ?
I was able to run it on anther thread using viewModelScope.launch(Dispatchers.IO){ } which works as I was expecting, namely on another thread.
What I am trying to accomplish from the launch method is to call a repository and do some IO work namely call a webservice and store the data in a room db. So I was thinking of calling viewModelScope.launch(Dispatchers.IO){ } do all the work on a different thread and in the end update the LiveData result.
viewModelScope.launch(Dispatchers.IO){
liveData.postValue(someRepository.someWork())
}
So my second question is, is this the way to go ?

ViewModelScope.launch { } runs on the main thread, but also gives you the option to run other dispatchers, so you can have UI & Background operations running synchronously.
For you example:
fun thisWillRunOnMainThread() {
viewModelScope.launch {
//below code will run on UI thread.
showLoadingOnUI()
//using withContext() you can run a block of code on different dispatcher
val result = novel.id = withContext(Dispatchers.IO) {
withsomeRepository.someWork()
}
//The below code waits until the above block is executed and the result is set.
liveData.value = result
finishLoadingOnUI()
}
}
For more reference, I would say there are some neat articles that will help you understand this concept.
Medium link that explains it really neat.

So my second question is, is this the way to go ?
I would expect two things to be different in your current approach.
1.) First step would be to define the scheduler of the background operation via withContext.
class SomeRepository {
suspend fun doWork(): SomeResult = withContext(Dispatchers.IO) {
...
}
}
This way, the operation itself runs on a background thread, but you didn't force your original scope to be "off-thread".
2.) Jetpack Lifecycle KTX provides the liveData { coroutine builder so that you don't have to postValue to it manually.
val liveData: LiveData<SomeResult> = liveData {
emit(someRepository.someWork())
}
Which in a ViewModel, you would use like so:
val liveData: LiveData<SomeResult> = liveData(context = viewModelScope.coroutineContext) {
withContext(Dispatchers.IO) {
emit(someRepository.someWork())
}
}
And now you can automatically trigger data-loading via observing, and not having to manually invoke viewModelScope.launch {}.

The idea behind main thread being default is you can run UI operations without having to change the context. It is a convention I guess Kotlin coroutine library writers have chosen
Suppose if by default if the launch runs on IO thread then the code would look like this
viewmodelScope.launch {
val response = networkRequest()
withContext(Dispatchers.Main) {
renderUI(response)
}
}
Suppose if by default if the launch runs on Default thread then the code would look like this
viewmodelScope.launch {
val response: Response = null
withContext(Dispatchers.IO) {
response = networkRequest()
}
withContext(Dispatchers.Main) {
renderUI(response)
}
}
Since the default launch is on main thread, now you have to do below
viewmodelScope.launch {
val response: Response = null
withContext(Dispatchers.IO) {
response = networkRequest()
}
renderUI(response)
}
To avoid the messy code initializing the response with null, we can also make the networkRequest as suspend and wrap the business logic of networkRequest() function in withContext(Dispatchers.IO) and that's how lot of people write their networkRequest() function as well! Hope this makes sense

One of the main reasons it runs on Main thread, is because it's more practical for general use in ViewModel, like murali kurapati wrote. It was a design choice.
It's also important to note that all suspending functions should be "main safe" according to best pracices. That means, that your repository should switch coroutine context accordingly, like so:
class someRepository(private val ioDispatcher: CoroutineDispatcher) {
suspend fun someWork() {
withContext(ioDispatcher) {
TODO("Heavy lifting")
}
}
}

Android: kotlin coroutine background task

I have a method
fun refrehList() {
viewModelScope.launch {
myData.value = withContext(Dispatchers.Default) {
summaryRepository.getSummaries(true)
}
allData.value = withContext(Dispatchers.Default) {
SummaryRepository.getSummaries(false)
}
}
}
Is this correct way of using coroutine. Is the DB operation happening in the background scope

If you're using Room, its documentation states the following:
You can add the suspend Kotlin keyword to your DAO methods to make
them asynchronous using Kotlin coroutines functionality. This ensures
that they cannot be executed on the main thread.
So you will be safe calling your repository inside the viewModelScope without changing context.
You can find that Room's documentation section here.

Yes this code will run on separate thread but one after another. Also you should be using Dispatchers.IO for database calls instead of Dispatchers.Default See Io vs Default.
viewModelScope.launch {
myData.value = withContext(Dispatchers.IO) {
Log.e("thread1", Thread.currentThread().name)
summaryRepository.getSummaries(true)
}
Log.e("thread2", Thread.currentThread().name)
allData.value = withContext(Dispatchers.IO) {
Log.e("thread3", Thread.currentThread().name)
SummaryRepository.getSummaries(false)
}
}
This will print something like :-
E/thread: DefaultDispatcher-worker-1
E/thread2: main
E/thread3: DefaultDispatcher-worker-1
If you want to run those co-routine in parallel you can use async-await .

Correct way to suspend coroutine until Task<T> is complete

I've recently dove into Kotlin coroutines
Since I use a lot of Google's libraries, most of the jobs is done inside Task class
Currently I'm using this extension to suspend coroutine
suspend fun <T> awaitTask(task: Task<T>): T = suspendCoroutine { continuation ->
task.addOnCompleteListener { task ->
if (task.isSuccessful) {
continuation.resume(task.result)
} else {
continuation.resumeWithException(task.exception!!)
}
}
}
But recently I've seen usage like this
suspend fun <T> awaitTask(task: Task<T>): T = suspendCoroutine { continuation ->
try {
val result = Tasks.await(task)
continuation.resume(result)
} catch (e: Exception) {
continuation.resumeWithException(e)
}
}
Is there any difference, and which one is correct?
UPD: second example isn't working, idk why

The block of code passed to suspendCoroutine { ... } should not block a thread that it is being invoked on, allowing the coroutine to be suspended. This way, the actual thread can be used for other tasks. This is a key feature that allows Kotlin coroutines to scale and to run multiple coroutines even on the single UI thread.
The first example does it correctly, because it invokes task.addOnCompleteListener (see docs) (which just adds a listener and returns immediately. That is why the first one works properly.
The second example uses Tasks.await(task) (see docs) which blocks the thread that it is being invoked on and does not return until the task is complete, so it does not allow coroutine to be properly suspended.

One of the ways to wait for a Task to complete using Kotlin Coroutines is to convert the Task object into a Deferred object by applying Task.asDeferred extension function. For example for fetching data from Firebase Database it can look like the following:
suspend fun makeRequest() {
val task: Task<DataSnapshot> = FirebaseDatabase.getInstance().reference.get()
val deferred: Deferred<DataSnapshot> = task.asDeferred()
val data: Iterable<DataSnapshot> = deferred.await().children
// ... use data
}
Dependency for Task.asDeferred():
implementation 'org.jetbrains.kotlinx:kotlinx-coroutines-play-services:1.5.2'
To call suspend function we need to launch a coroutine:
someCoroutineScope.launch {
makeRequest()
}
someCoroutineScope is a CoroutineScope instance. In android it can be viewModelScope in ViewModel class and lifecycleScope in Activity or Fragment, or some custom CoroutineScope instance. Dependencies:
implementation 'androidx.lifecycle:lifecycle-viewmodel-ktx:2.4.0'
implementation 'androidx.lifecycle:lifecycle-runtime-ktx:2.4.0'