In Java, module-aware reflection provides a way to access modules and their members in a more controlled manner, especially with the introduction of the Java Platform Module System (JPMS) in Java 9. This approach helps in enforcing encapsulation while still allowing necessary access to certain classes and methods across module boundaries.
Here's a simple example to demonstrate how to use module-aware reflection:
// Example Java code
module my.module {
exports my.package;
}
package my.package;
public class MyClass {
public void myMethod() {
System.out.println("Hello from myMethod!");
}
}
// Accessing MyClass using module-aware reflection
import my.package.MyClass;
import java.lang.module.ModuleFinder;
import java.lang.reflect.Method;
public class ReflectionExample {
public static void main(String[] args) throws Exception {
// Find the module
Module myModule = MyClass.class.getModule();
// Access MyClass through reflection
Class> clazz = Class.forName("my.package.MyClass", true, myModule);
Object instance = clazz.getDeclaredConstructor().newInstance();
// Access myMethod and invoke it
Method method = clazz.getMethod("myMethod");
method.invoke(instance);
}
}
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?