WKWebView is a powerful tool for displaying web content in iOS applications, but using it improperly can lead to several common pitfalls. Below are some of the most frequent mistakes developers make when working with WKWebView, along with tips on how to avoid them.
One of the biggest mistakes is not implementing navigation delegate methods, which can lead to unexpected behaviors when users navigate away from your app.
// Example of handling navigation actions
webView.navigationDelegate = self
func webView(_ webView: WKWebView, decidePolicyFor navigationAction: WKNavigationAction, decisionHandler: @escaping (WKNavigationActionPolicy) -> Void) {
if let url = navigationAction.request.url {
// Handle URL accordingly
print("Navigating to: \(url)")
}
decisionHandler(.allow)
}
Not managing cookies and storing session data properly can lead to issues with user authentication or maintaining sessions across web views.
// Example of managing cookies
let cookieStore = webView.configuration.websiteDataStore.httpCookieStore
cookieStore.getAllCookies { cookies in
// Handle cookies
for cookie in cookies {
print("Cookie: \(cookie.name)")
}
}
Sometimes developers forget to set content scaling appropriately, which can lead to poor user experience on different devices.
// Example of adjusting content scaling
let htmlString = "Content here"
webView.loadHTMLString(htmlString, baseURL: nil)
Security is critical when loading web content. It’s essential to ensure that you're only loading content from trusted sources.
// Example of implementing content security policy
if let url = URL(string: "https://example.com") {
let request = URLRequest(url: url)
webView.load(request)
}
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?