In Java, record reflection refers to the ability to examine and manipulate record types at runtime using Java Reflection API. Records, introduced in Java 14 as a preview feature and made stable in Java 16, are a special kind of class in Java that act as transparent carriers for immutable data. Reflection allows developers to inspect the structure of the record, including field names, types, and values, as well as invoke methods dynamically. However, there are some peculiarities when working with records through reflection.
One key point is that records in Java are implicitly final and cannot be subclassed. Additionally, the fields of a record are final and can only be assigned a value once, which can impact how reflection is used for modifying them. Accessing the components of a record is straightforward, but changing them requires careful consideration of their immutable nature.
// Example code for inspecting a record using reflection
public record Person(String name, int age) {}
public class RecordReflectionExample {
public static void main(String[] args) throws Exception {
Person person = new Person("Alice", 30);
// Getting the class of the record
Class> recordClass = person.getClass();
// Accessing fields
System.out.println("Record Name: " + recordClass.getDeclaredField("name").get(person));
System.out.println("Record Age: " + recordClass.getDeclaredField("age").get(person));
// Getting all components of the record
for (var field : recordClass.getDeclaredFields()) {
System.out.println("Field: " + field.getName() + ", Type: " + field.getType());
}
}
}
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?