MapKit is a powerful framework provided by Apple that allows developers to integrate maps and location services into their iOS applications. To effectively utilize MapKit, it's essential to follow best practices that enhance both performance and user experience.
import MapKit
class ViewController: UIViewController, MKMapViewDelegate {
@IBOutlet weak var mapView: MKMapView!
override func viewDidLoad() {
super.viewDidLoad()
mapView.delegate = self
addAnnotation()
}
func addAnnotation() {
let annotation = MKPointAnnotation()
annotation.title = "Hello, World!"
annotation.coordinate = CLLocationCoordinate2D(latitude: 37.7749, longitude: -122.4194) // San Francisco
mapView.addAnnotation(annotation)
}
func mapView(_ mapView: MKMapView, viewFor annotation: MKAnnotation) -> MKAnnotationView? {
let identifier = "MyMarker"
var annotationView = mapView.dequeueReusableAnnotationView(withIdentifier: identifier)
if annotationView == nil {
annotationView = MKPinAnnotationView(annotation: annotation, reuseIdentifier: identifier)
annotationView?.canShowCallout = true
} else {
annotationView?.annotation = annotation
}
return annotationView
}
}
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?