Implementing infinite scrolling in a Swift application using Combine can enhance user experience by loading content dynamically as the user scrolls. Below is an example of how to achieve this.
import SwiftUI
import Combine
struct ContentView: View {
@State private var items: [String] = []
@State private var isLoading: Bool = false
@State private var page: Int = 0
var body: some View {
List {
ForEach(items, id: \.self) { item in
Text(item)
}
if isLoading {
ProgressView()
.onAppear(perform: loadMore)
}
}
.onAppear(perform: loadMore)
}
func loadMore() {
guard !isLoading else { return }
isLoading = true
let newPage = page + 1
DispatchQueue.main.asyncAfter(deadline: .now() + 1.5) {
let newItems = (1...20).map { "Item \($0 + (newPage - 1) * 20)" }
items.append(contentsOf: newItems)
page = newPage
isLoading = false
}
}
}
struct ContentView_Previews: PreviewProvider {
static var previews: some View {
ContentView()
}
}
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?