In PHP, caching objects with strong typing can be achieved using various techniques such as serialization and using caching libraries like APCu or Redis. Strong typing helps ensure that the data type of an object is enforced, enhancing type safety and reducing runtime errors.
Here's an example of how to cache an object in PHP with strong typing:
<?php
declare(strict_types=1); // Enforce strict typing
class User {
private string $name;
private int $age;
public function __construct(string $name, int $age) {
$this->name = $name;
$this->age = $age;
}
public function getName(): string {
return $this->name;
}
public function getAge(): int {
return $this->age;
}
}
// Caching example using APCu
function cacheUser(User $user): void {
apcu_store('user_' . $user->getName(), $user);
}
function getCachedUser(string $username): ?User {
return apcu_fetch('user_' . $username);
}
// Usage
$user = new User('John Doe', 30);
cacheUser($user);
$cachedUser = getCachedUser('John Doe');
if ($cachedUser) {
echo "User Name: " . $cachedUser->getName() . "<br>";
echo "User Age: " . $cachedUser->getAge();
}
?>
`, which contains a description of caching objects in PHP and an example code snippet.
- The `` block demonstrates how to create a User class, enforce strict typing, and cache the object using APCu.
- Keywords are placed within ``, and the description is provided in ``.
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?