To limit background execution and save battery in Swift applications, you can utilize several techniques. These techniques allow your app to be efficient while still maintaining necessary functionality. Below are some strategies that can be used to reduce background activity:
Here is an example of how to manage background tasks efficiently:
// This is a Swift example, adapted to display as PHP code
func applicationDidEnterBackground(_ application: UIApplication) {
// Begin the background task
var backgroundTask: UIBackgroundTaskIdentifier = application.beginBackgroundTask {
// Clean up if the task expires
application.endBackgroundTask(backgroundTask)
backgroundTask = UIBackgroundTaskIdentifier.invalid
}
// Perform your background operations
DispatchQueue.global().async {
// Simulating work in the background
for _ in 0..<10 {
// Perform task
sleep(1) // Simulated delay
}
// End the background task
application.endBackgroundTask(backgroundTask)
backgroundTask = UIBackgroundTaskIdentifier.invalid
}
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?