I want to start two Async Tasks but the second will not start until the first has completed.
From what I've googled, people usually suggest this approach:
new MyAsyncTask().execute(params);
new MyAsyncTask().execute(params);
However, I need to instantiate them separately and also keep the handles of the task's (to pass messages for example). Therefore, I SORT OF do this:
onStart()
{
taskA = new MyAsyncTask(paramsA);
taskB = new MyAsyncTask(paramsB);
}
onButtonPress()
{
taskA.execute();
taskB.execute();
}
Edit:
I've noticed that taskB does not actually start executing until taskA completes (which runs a tcp/ip server so it takes a long time). I cannot figure out why. Any thoughts or comments ?
The short answer is that, depending on your version of Android, all AsyncTask subclasses may be using the same thread, so you can only do one at a time. There are two ways around this:
Use Runnable instead of AsyncTask
Replace one call to execute with executeOnExecutor(Executor.THREAD_POOL_EXECUTOR, params)
Clearly, try #2 first - it's less of a code change. But if that doesn't work pretty quickly, I'd switch to #1. In that case, you don't have to worry about how Android might change in the future.
If you want more details about the threading model for AsyncTask, have a look at the Android doc entry.
Related
This may be a question about coroutines in general, but in my ktor server (netty engine, default configuration) application I perform serveral asyncronous calls to a database and api endpoint and want to make sure I am using coroutines efficiently. My question are as follows:
Is there a tool or method to work out if my code is using coroutines effectively, or do I just need to use curl to spam my endpoint and measure the performance of moving processes to another context e.g. compute?
I don't want to start moving tasks/jobs to another context 'just in case' but should I treat the default coroutine context in my Route.route() similar to the Android main thread and perform the minimum amount of work on it?
Here is an rough example of the code that I'm using:
fun Route.route() {
get("/") {
call.respondText(getRemoteText())
}
}
suspend fun getRemoteText() : String? {
return suspendCoroutine { cont ->
val document = 3rdPartyLibrary.get()
if (success) {
cont.resume(data)
} else {
cont.resume(null)
}
}
}
You could use something like Apache Jmeter, but writing a script and spamming your server with curl seems also a good option to me
Coroutines are pretty efficient when it comes to context/thread switching, and with Dispatchers.Default and Dispatchers.IO you'll get a thread-pool. There are a couple of documentations around this, but I think you can definitely leverage these Dispatchers for heavy operations
There are few tools for testing endpoints. Jmeter is good, there are also command line tools like wrk, wrk2 and siege.
Of course context switching costs. The coroutine in routing is safe to run blocking operations unless you have the option shareWorkGroup set. However, usually it's good to use a separate thread pool because you can control it's size (max threads number) to not get you database down.
I have a pool of tasks and I am trying to figure out the best way to be notified, through an event, when one is finished.
Since the tasks are quite varied, I don't want to add a piece of code inside the task itself since that would mean putting it in several places. These are long running tasks, I'm not waiting for them to complete anywhere, they're just getting started, do their work (minutes to days) and then they finish.
The ugly-but-could-work solution is to wrap each work task into another task that awaits for the work task to be complete and then sends an event, but I'm hoping there would be something more elegant.
In a comment you explained that you're starting your tasks like this:
Async.StartAsTask (runner.Start(), TaskCreationOptions.LongRunning, cancellationSource.Token)
Instead of doing that, start them like this:
startMyTask runner cancellationSource (fun() -> printfn "Task completed!")
Where:
let startMyTask (runner: RunnerType) (s: CancellationTokenSource) onDone =
let wrapper = async {
do! runner.Start()
onDone()
}
Async.StartAsTask (wrapper, TaskCreationOptions.LongRunning, s.Token)
We have in our build a lifecycle task which is supposed to run everything to do a quick check of the code. It looks like this:
task minimalBuild(dependsOn: [jar, testJar, javadoc])
Someone said it should also run checks, which seems reasonable, except that if I depend on check itself, check depends on test, so all the tests will be run and it's no longer a quick build.
I could manually list the individual checks of course, and that is my best idea right now, but every time someone installs a new checking tool, they will have to update this list, and they might not know they have to.
Is there a way to do this programmatically at least? Can I make minimalBuild depend on "everything check depends on except for test"?
You can onfigure it via taskGraph, like so:
gradle.taskGraph.whenReady { graph ->
if (graph.hasTask(minimalBuild)) {
tasks.withType(Test){
enabled = false
}
}
}
This configuration should be added to root of the script. It waits untill the execution graph is ready (it contains all the task, which should be really executed), after that it checks, whether minimalBuild task will be executed and if yes, then it disables all the tasks wit Test type.
I'm trying to capture output written from each task as it is executed. The code below works as expected when running Gradle with --max-workers 1, but when multiple tasks are running in parallel this code below picks up output written from other tasks running simultaneously.
The API documentation states the following about the "getLogging" method on Task. From what it says I judge that it should support capturing output from single tasks regardless of any other tasks running at the same time.
getLogging()
Returns the LoggingManager which can be used to control the logging level and standard output/error capture for this task. https://docs.gradle.org/current/javadoc/org/gradle/api/Task.html
graph.allTasks.forEach { Task task ->
task.ext.capturedOutput = [ ]
def listener = { task.capturedOutput << it } as StandardOutputListener
task.logging.addStandardErrorListener(listener)
task.logging.addStandardOutputListener(listener)
task.doLast {
task.logging.removeStandardOutputListener(listener)
task.logging.removeStandardErrorListener(listener)
}
}
Have I messed up something in the code above or should I report this as a bug?
It looks like every LoggingManager instance shares an OutputLevelRenderer, which is what your listeners eventually get added to. This did make me wonder why you weren't getting duplicate messages because you're attaching the same listeners to the same renderer over and over again. But it seems the magic is in BroadcastDispatch, which keeps the listeners in a map, keyed by the listener object itself. So you can't have duplicate listeners.
Mind you, for that to hold, the hash code of each listener must be the same, which seems surprising. Anyway, perhaps this is working as intended, perhaps it isn't. It's certainly worth an issue to get some clarity on whether Gradle should support listeners per task. Alternatively raise it on the dev mailing list.
I would like to start a service that once in awhile on all platforms has checked is there a notification to appear or not. Is there any nuget to connect all platforms or some examples?
You can use the Device.StartTimer(TimeSpan minutes) method to start a background task that will repeat after the given time span. Here is a code example:
var minutes = TimeSpan.FromMinutes (3);
Device.StartTimer (minutes, () => {
// call your method to check for notifications here
// Returning true means you want to repeat this timer
return true;
});
This is included with Xamarin Forms, so you don't need any platform specific logic.
http://iosapi.xamarin.com/index.aspx?link=M%3AXamarin.Forms.Device.StartTimer(System.TimeSpan%2CSystem.Func%7BSystem.Boolean%7D)
I think that the best that you can do is following:
Unfortunately, the way that these two platforms have evolved to handle executing background code is completely different. As such, there is no way that we can abstract the backgrounding feature into the Xamarin.Forms library. Instead, we going to continue to rely on the native APIs to execute our shared background task.
Further information for this topic can be found here:
https://robgibbens.com/backgrounding-with-xamarin-forms/