Generics in Java enhance the type safety of your code and make it easier to read. In my last article, I introduced the general concepts of generics and showed examples from the Java Collections Framework. You also learned how to use generics to avoid runtime errors like the ClassCastException
.
This article goes into more advanced concepts. I introduce sophisticated type constraints and operations that enhance type safety and flexibility, along with key concepts such as bounded type parameters, which restrict the types used with generics and wildcards and allow method parameters to accept varying types. You’ll also see examples of how to use type erasure for backward compatibility and enable generic methods for type inference.
Generic type inference
Type inference, introduced in Java 7, allows the Java compiler to automatically determine or infer the types of parameters and return types based on method arguments and the target type. This feature simplifies your code by reducing the verbosity of generics usage.
When you use generics, you often specify the type inside angle brackets. For example, when creating a list of strings, you would specify the type as follows:
List myList = new ArrayList();
However, with type inference, the Java compiler can infer the type of collection from the variable to which it is assigned. This allows you to write the above code more succinctly:
List myList = new ArrayList();
With type inference, you don’t need to repeat String
in the constructor of ArrayList
. The compiler understands that since myList
is a List
, the ArrayList()
must also be a String
type.
Type inference helps make your code cleaner and easier to read. It also reduces the chance of errors from specifying generic types, which makes working with generics easier. Type inference is particularly useful in complex operations involving generics nested within generics.
Type inference became increasingly useful in Java 8 and later, where it extended to lambda expressions and method arguments. This allows for even more concise and readable code without losing the safety and benefits of generics.
Bounded and unbounded type parameters
In Java, you can use bounds to limit the types that a type parameter can accept. While bounded type parameters restrict the types that can be used with a generic class or method to those that fulfill certain conditions, unbounded type parameters offer broader flexibility by allowing any type to be used. Both are beneficial.
Unbounded type parameters
An unbounded type parameter has no explicit constraints placed on the type of object it can accept. It is simply declared with a type parameter, usually represented by single uppercase letters like E, T, K, or V. An unbounded type parameter can represent any non-primitive type (since Java generics do not support primitive types directly).
Consider the generic Set
interface from the Java Collections Framework:
Set stringSet = new HashSet();
Set employeeSet = new HashSet();
Set customerSet = new HashSet();
Here, E represents an unbounded type parameter within the context of a Set
. This means any class type can substitute E. Moreover, the specific type of E is determined at the time of instantiation, as seen in the examples where String
, Employee
, and Customer
replace E.
Characteristics and implications of unbounded type parameters
- Maximum flexibility: Unbounded generics are completely type-agnostic, meaning they can hold any type of object. They are ideal for collections or utilities that do not require specific operations dependent on the type, such as adding, removing, and accessing elements in a list or set.
- Type safety: Although an unbounded generic can hold any type, it still provides type safety compared to raw types like a plain
List
orSet
without generics. For example, once you declare aSet
, you can only add strings to this set, which prevents runtime type errors.
- Errors: Because the type of the elements is not guaranteed, operations that depend on specific methods of the elements are not possible without casting, which can lead to errors if not handled carefully.
Bounded type parameters
A bounded type parameter is a generic type parameter that specifies a boundary for the types it can accept. This is done using the extends keyword for classes and interfaces. This keyword effectively says that the type parameter must be a subtype of a specified class or interface.
The following example demonstrates an effective use of a bounded type parameter:
public class NumericOperations {
// Generic method to calculate the square of a number
public static double square(T number) {
return number.doubleValue() * number.doubleValue();
}
public static void main(String[] args) {
System.out.println("Square of 5: " + square(5));
System.out.println("Square of 7.5: " + square(7.5));
}
}
Consider the elements in this code:
- Class definition:
NumericOperations
is a simple Java class containing a static method square. - Generic method:
square
is a static method defined with a generic type T that is bounded by theNumber
class. This means T can be any class that extendsNumber
(likeInteger
,Double
,Float
, and so on). - Method operation: The method calculates the square of the given number by converting it to a double (using
doubleValue()
) and then multiplying it by itself. - Usage in main method: The
square
method is called with different types of numeric values (int
anddouble
) that are autoboxed toInteger
andDouble
, demonstrating its flexibility.
When to use bounded type parameters
Bounded-type parameters are particularly useful in several scenarios:
- Enhancing type safety: By restricting the types that can be used as arguments, you ensure the methods or classes only operate on types guaranteed to support the necessary operations or methods, thus preventing runtime errors.
- Writing reusable code: Bounded type parameters allow you to write more generalized yet safe code that can operate on a family of types. You can write a single method or class that works on any type that meets the bound condition.
- Implementing algorithms: For algorithms that only make sense for certain types (like numerical operations and comparison operations), bounded generics ensure the algorithm is not misused with incompatible types.
A generic method with multiple bounds
You’ve learned about bounded and unbounded type parameters, so now let’s look at an example. The following generic method requires its parameter to be both a certain type of animal and capable of performing specific actions.
In the example below, we want to ensure that any type passed to our generic method is a subclass of Animal
and implements the Walker
interface.
class Animal {
void eat() {
System.out.println("Eating...");
}
}
interface Walker {
void walk();
}
class Dog extends Animal implements Walker {
@Override
public void walk() {
System.out.println("Dog walking...");
}
}
class Environment {
public static void simulate(T creature) {
creature.eat();
creature.walk();
}
public static void main(String[] args) {
Dog myDog = new Dog();
simulate(myDog);
}
}
Consider the elements in this code:
- Animal class: This is the class bound: The type parameter must be a subclass of
Animal
. - Walker interface: This is the interface bound: The type parameter must also implement the
Walker
interface. - Dog class: This class qualifies as it extends
Animal
and implementsWalker
. - Simulate method: This generic method in the
Environment
class accepts a generic parameter, T, that extendsAnimal
and implementsWalker
.
Using multiple bounds (T extends Animal
and Walker
) ensures the simulated method can work with any animal that walks. In this example, we see how bounded generic types leverage polymorphism and ensure type safety.
Wildcards in generics
In Java, a wildcard generic type is represented with the question mark (?
) symbol and used to denote an unknown type. Wildcards are particularly useful when writing methods that operate on objects of generic classes. Still, you don’t need to specify or care about the exact object type.
When to use wildcards in Java
Wildcards are used when the exact type of the collection elements is unknown or when the method needs to be generalized to handle multiple object types. Wildcards add flexibility to method parameters, allowing a method to operate on collections of various types.
Wildcards are particularly useful for creating methods that are more adaptable and reusable across different types of collections. A wildcard allows a method to accept collections of any type, reducing the need for multiple method implementations or excessive method overloading based on different collection types.
As an example, consider a simple method, displayList
, designed to print elements from any type of List
:
import java.util.List;
public class Demo {
public static void main(String[] args) {
List colors = List.of("Red", "Blue", "Green", "Yellow");
List numbers = List.of(10, 20, 30);
displayList(colors);
displayList(numbers);
}
static void displayList(List> list) {
for (Object item : list) {
System.out.print(item + " "); // Print each item on the same line separated by a space
}
System.out.println(); // Print a newline after each list
}
}
The output from this method would be:
Red Blue Green Yellow
10 20 30
Consider the elements of this code:
- List creation: Lists are created using
List.of()
, which provides a concise and immutable way to initialize the list with predefined elements. - displayList method: This method accepts a list with elements of any type (
List>
). Using a wildcard (?
) allows the method to handle lists containing objects of any type.
This output confirms that the displayList
method effectively prints elements from both string and integer lists, showcasing the versatility of wildcards.
Lower-bound wildcards
To declare a lower-bound wildcard, you use the ? super T
syntax, where T
is the type that serves as the lower bound. This means that the generic type can accept T
or any of its superclasses (including Object
, the superclass of all classes).
Let’s consider a method that processes a list by adding elements. The method should accept lists of a given type or any of its superclasses. Here’s how you might define such a method:
public void addElements(List super Integer> list) {
list.add(10); // This is valid because the list is typed to Integer or a superclass of Integer
}
In this example, List super Integer>
can accept a List
, a List
, or a List
because both Number
and Object
are superclasses of Integer
.
Benefits of lower-bound wildcards
Flexibility and compatibility are the main benefits of using lower-bound wildcards:
- Flexibility: A lower-bound wildcard allows methods to work with arguments of different types while still enforcing type safety. This is particularly useful for operations that put elements into a collection.
- Compatibility: Functions that use lower-bound wildcards can operate on a broader range of data types, enhancing API flexibility.
Lower-bound wildcards are particularly useful in scenarios where data is being added to a collection rather than read from it. For example, consider a function designed to add a fixed set of elements to any kind of numeric list:
public void addToNumericList(List super Number> list) {
list.add(Integer.valueOf(5));
list.add(Double.valueOf(5.5));
}
This method can accept a List
, List
, or any other list where Number
is a superclass of the list’s element type.
So, why not use List
instead of a wildcard? The reason is flexibility: If we have the displayList
method configured to receive a List
, we will only be able to pass a List
. For example, if we tried passing a List
, considering the String
type is an Object
, we would receive a compilation error:
List stringList = Arrays.asList("hello", "world");
displayList(stringList); // Compilation error here because displayList expects List
public void displayList(List list) {
System.out.println(list);
}
If we want to make a collection flexible enough to receive any type, we must use a wildcard or a type parameter.
Key differences between type parameters and wildcards
You’ve learned about both type parameters and wildcards, two advanced elements in Java generics. Understanding how these elements are different will help you know when to use each of them:
- Flexibility vs. specificity: Wildcards offer more flexibility for methods that operate on various objects without specifying a particular type. Type parameters demand specific types and enforce consistency within the use of the class or method where they are defined.
- Read vs. write: Typically, you use
? extends Type
when you only need to read from a structure because the items will all be instances ofType
or its subtypes.? super Type
is used when you need to write to a structure, ensuring that the structure can hold items of typeType
or any type that is a superclass ofType
. Type parametersT
are used when both operations are required or when operations depend on each other. - Scope: Wildcards are generally used for broader operations in a limited scope (like a single method), while type parameters define a type that can be used throughout a class or a method, providing more extensive code reuse.
Key differences between upper and lower bounds
Now that we know more about type parameters and wildcards, let’s explore the differences between upper bounds and lower bounds.
List super Animal>
is an example of a lower-bound list. It is a lower-bound because Animal
is the lowest or least specific class you can use. You can use Animal
or any type that is a superclass of Animal
(such as Object
) to effectively go upward in the class hierarchy to more general types.
- Conceptually, lower bounds set a floor, or a minimum level of generality. You can’t go any lower in generality than this limit.
- The purpose of the lower bound in this example is to allow the list to accept assignments of
Animal
and any of its subtypes. A lower bound is used when you want to add objects into a list.
- A lower-bound list is often used when you are writing to the list because you can safely add an
Animal
or any subtype ofAnimal
(e.g., Dog or Cat) to the list, knowing that whatever the actual list type is, it can hold items of typeAnimal
or more generic types (likeObject
).
- When you retrieve an item from such a list, all you know is that it is at least an
Object
(the most general type in Java), because the specific type parameter could be any superclass ofAnimal
. As such, you must explicitly cast it if you need to treat it as anAnimal
or any other specific type.
Now let’s look at an upper-bound list: List extends Animal>
. In this case, Animal
is the highest or most specific class in the hierarchy that you can use. You can use Animal
itself or any class that is a subtype of Animal
(like Dog
or Cat
), but you cannot use anything more general than Animal
.
- Think of upper bounds as setting a ceiling on how specific the types in your collection can be. You can’t go higher than this limit.
- The purpose of the upper-bound limit is to allow the list to accept assignments of
Animal
or any superclass ofAnimal
, but you can only retrieve items from it asAnimal
or its subtypes.
- This type of list is primarily used when you are reading from the list and not modifying it. You can safely read from it knowing that everything you retrieve can be treated as an
Animal
or more specific types (Dog
orCat
); still, you cannot know the exact subtype.
- You cannot add items to an upper-bound list (except for null, which matches any reference type) because you do not know what specific subtype of
Animal
the list is meant to hold. Adding anAnimal
could violate the list’s type integrity if, for example, the list wasList
.
Writing bounded lists
When writing lower- and upper-bound lists, remember this:
List super Animal>
(lower bound) can addAnimal
and its subtypes.
List extends Animal>
(upper bound) cannot addAnimal
or any subtype (except null).
Reading bounded lists
When reading lower- and upper-bound lists, remember this:
List super Animal>
: Items retrieved from a lower-bound list are of an indeterminate type up toObject
. Casting is required for this item to be used asAnimal
.
List extends Animal>
: Items retrieved are known to be at leastAnimal
, so no casting is needed to treat them asAnimal
.
An example of upper- and lower-bound lists
Imagine you have a method to add an Animal
to a list and another method to process animals from a list:
void addAnimal(List super Animal> animals, Animal animal) {
animals.add(animal); // This is valid.
}
Animal getAnimal(List extends Animal> animals, int index) {
return animals.get(index); // No casting needed, returns Animal type.
}
In this setup:
addAnimal
can accept aList
,List
, etc., because they can all hold anAnimal
.getAnimal
can work withList
,List
, etc., safely returningAnimal
or any subtype without risking aClassCastException
.
This shows how Java generics use the extends
and super
keywords to control what operations are safe regarding reading and writing, aligning with the intended operations of your code.
Conclusion
Knowing how to apply advanced concepts of generics will help you create robust components and Java APIs. Let’s recap the most important points of this article.
Bounded type parameters
You learned that bounded type parameters limit the allowable types in generics to specific subclasses or interfaces, enhancing type safety and functionality.
Wildcards
Use wildcards (? extends
and ? super
) to allow generic methods to handle parameters of varying types, adding flexibility while managing covariance and contravariance. In generics, wildcards enable methods to work with collections of unknown types. This feature is crucial for handling variance in method parameters.
Type erasure
This advanced feature enables backward compatibility by removing generic type information at runtime, which leads to generic details not being maintained post-compilation.
Generic methods and type inference
Type inference reduces verbosity in your code, allowing the compiler to deduce types from context and simplify code, especially from Java 7 onwards.
Multiple bounds in Java generics
Use multiple bounds to enforce multiple type conditions (e.g., ). Ensuring parameters meet all the specified requirements promotes functional and type safety.
Lower bounds
These support write operations by allowing additions of (in our example) Animal
and its subtypes. Retrieves items recognized as Object
, requiring casting for specific uses due to the general nature of lower bounds.
Upper bounds
These facilitate read operations, ensuring all retrieved items are at least (in our example) Animal
, eliminating the need for casting. Restricts additions (except for null) to maintain type integrity, highlighting the restrictive nature of upper bounds.
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