top of page

Best practices for handling background tasks in Android Apps using Kotlin


Best practices for handling background tasks in Android Apps using Kotlin

Background tasks are a crucial part of any Android app. They allow you to perform long-running operations without blocking the main thread and keep your app responsive.


In this blog, we will discuss the best practices for handling background tasks in Android apps using Kotlin.


1. Use Kotlin Coroutines for Asynchronous Operations


Coroutines are a lightweight and efficient way to perform asynchronous operations in Android apps. They provide a simple and intuitive way to write asynchronous code, without the complexity of callbacks or threads.


Here's an example of using coroutines to perform a network call in the background:


GlobalScope.launch(Dispatchers.IO) {
    val response = apiService.getData()
    withContext(Dispatchers.Main) {
        // Update UI with data
    }
}

In this example, we use launch to start a coroutine in the IO dispatcher, which is optimized for performing IO operations. We then call the getData method on our API service to perform a network call. Finally, we use withContext to switch back to the main dispatcher, where we can update the UI with the response data.


2. Use WorkManager for Deferred and Guaranteed Execution


WorkManager is a library that provides a simple and efficient way to schedule and run deferred or guaranteed background tasks. It can automatically choose the best way to run your task based on device conditions, such as battery level and network connectivity.


Here's an example of using WorkManager to schedule a one-time background task:


val myWorkRequest = OneTimeWorkRequestBuilder<MyWorker>().build()
WorkManager.getInstance(context).enqueue(myWorkRequest)

In this example, we use OneTimeWorkRequestBuilder to create a WorkRequest for our MyWorker class. We then enqueue the request using the WorkManager instance.


3. Use AlarmManager for Time-Sensitive Tasks


AlarmManager is a system service that allows you to schedule time-sensitive tasks that need to be executed even if the device is asleep or the app is not running. It can wake up the device at a specified time and start a background service to perform the task.


Here's an example of using AlarmManager to schedule a time-sensitive task:


val alarmManager = getSystemService(Context.ALARM_SERVICE) as AlarmManager
val intent = Intent(this, MyService::class.java)
val pendingIntent = PendingIntent.getService(this, 0, intent, PendingIntent.FLAG_UPDATE_CURRENT)
val triggerTime = SystemClock.elapsedRealtime() + 1000 * 60 * 60
// One hour from now
alarmManager.setExact(AlarmManager.ELAPSED_REALTIME_WAKEUP, triggerTime, pendingIntent)

In this example, we get a reference to the AlarmManager system service and create an intent to start our MyService class. We then create a PendingIntent for our intent and specify the trigger time using SystemClock.elapsedRealtime(). Finally, we use setExact to schedule the alarm at the specified time.


4. Use BroadcastReceiver for System Events


BroadcastReceiver is a component that allows your app to receive system events, such as network connectivity changes, battery level changes, and screen on/off events. You can use BroadcastReceiver to perform background tasks in response to these events.


Here's an example of using BroadcastReceiver to perform a background task when the network connectivity changes:


class NetworkChangeReceiver : BroadcastReceiver() {
    override fun onReceive(context: Context, intent: Intent) {
        val connectivityManager = context.getSystemService(Context.CONNECTIVITY_SERVICE) as ConnectivityManager
        val networkInfo = connectivityManager.activeNetworkInfo
        if (networkInfo != null && networkInfo.isConnected) {
            // Perform background task
        }
    }
}

val networkChangeReceiver = NetworkChangeReceiver()
val filter = IntentFilter(ConnectivityManager.CONNECTIVITY_ACTION)
registerReceiver(networkChangeReceiver, filter)

In this example, we create a NetworkChangeReceiver class that extends BroadcastReceiver and overrides the onReceive method to perform a background task when the network connectivity changes. We then register the receiver using registerReceiver and specify the CONNECTIVITY_ACTION intent filter to receive network connectivity changes.


5. Use ThreadPoolExecutor for Custom Thread Pools


ThreadPoolExecutor is a class that allows you to create custom thread pools for executing background tasks. It provides a flexible and efficient way to manage the threads that execute your tasks.


Here's an example of using ThreadPoolExecutor to create a custom thread pool:


val threadPoolExecutor = ThreadPoolExecutor(
    2, // Core pool size
    4, // Maximum pool size
    60L, // Keep alive time
    TimeUnit.SECONDS,
    LinkedBlockingQueue<Runnable>()
)

threadPoolExecutor.execute {
    // Perform background task
}

In this example, we create a ThreadPoolExecutor instance with a core pool size of 2, a maximum pool size of 4, and a keep-alive time of 60 seconds. We then use execute to submit a background task to the thread pool.


Conclusion


In this blog, we discussed the best practices for handling background tasks in Android apps using Kotlin. We learned about using coroutines for asynchronous operations, WorkManager for deferred and guaranteed execution, AlarmManager for time-sensitive tasks, BroadcastReceiver for system events, and ThreadPoolExecutor for custom thread pools.


By following these best practices, you can ensure that your app is efficient, responsive, and provides a great user experience.

Blog for Mobile App Developers, Testers and App Owners

 

This blog is from Finotes Team. Finotes is a lightweight mobile APM and bug detection tool for iOS and Android apps.

In this blog we talk about iOS and Android app development technologies, languages and frameworks like Java, Kotlin, Swift, Objective-C, Dart and Flutter that are used to build mobile apps. Read articles from Finotes team about good programming and software engineering practices, testing and QA practices, performance issues and bugs, concepts and techniques. 

bottom of page