Generics in Java is an advanced feature that enables code reusability and type safety. The code reusability functionality is achieved by defining Generic classes, interfaces, constructors, and methods. Generics use data type declaration to ensure type safety, thereby eliminating the chances of runtime errors. The angular bracket ‘<>’ symbol is used to implement Generics, and type parameters are defined within the brackets. These type parameters include ‘T’ for type, ‘E’ for element, ‘N’ for number, ‘K’ for key, and ‘V’ for value. An example of a Generic class with a Type T parameter is ‘public class DemoGenericClass
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Generics are implemented using angular brackets “<>” and the brackets enclose the type parameter “T” within them. For instance, in
A Generic class can be defined as:
Code:
public class MyGenericClass<T> {…}
The following are the standard type parameters:
In the case of multi-parameters, S, U, V, and so on are used to define the second, third, and fourth parameters, respectively.
What is a type safety and how does it work? How are Generic classes, interfaces, constructors, and methods different from our regular classes and methods that make them reusable?
Java, which is a statically-typed language, requires declaring the data type of a variable before using it.
Example:
Code:
String myString ="eduCBA";
In the above code, “String” is the data type, and “myString” is the variable that will hold a value whose type is String.
Now, if one tries to pass a Boolean value in place of a string, like below:
Code:
String myBooleanStr = true;
It will immediately result in a compile-time error, stating “Type mismatch: cannot convert from boolean to String”
Output:
Now, let’s define a regular method:
Code:
public static void welcome(String name){ System.out.println("welcome to " + name); }
This method can be invoked only by passing a string parameter.
Code:
welcome("eduCBA");
Its output would be “welcome to eduCBA”
However, only a String can invoke this method. Attempting to pass any other data type, such as an integer or boolean, will result in a compile-time error, stating “The method welcome(String) in the type Runner is not applicable for the arguments (boolean)”
Output:
If one wants to invoke a similar method for a different data type, one can create a new method that accepts the required data type as a parameter. This technique of rewriting methods with parameters of different data types is called “method overloading.” However, one disadvantage of this approach is that it can lead to a larger code size.
One can also use Generics to rewrite the above method and use it for any data type we require.
Defining a Generic method:
Code:
public static <T> void welcome(T t){ System.out.println("it is " + t); }
Note: Here, “t” is an object of type T. The actual data type used to invoke the method will be assigned to the type parameter “T”.
This allows the method to be reused with different data types as needed, including strings, booleans, integers, and others.
Code:
welcome("educba"); Integer myint = 1; welcome(myint); welcome(true);
The above statements will provide the below output:
Output:
it is educba it is 1 it is true
Therefore, using Generics here, we can reuse our method for different data types.
One of the primary differences between Arrays and Collections is that arrays can only store homogeneous data, whereas collections can store heterogeneous data. In other words, collections can store any type of object, including user-defined data types.
Note: Collections can only hold objects, including user-defined data types, and not primitive data types. To work with primitive data types, collections make use of wrapper classes.
Now, let’s consider an ArrayList.
Code:
ArrayList myList = new ArrayList();
One can add elements of various data types, such as strings, integers, and doubles, to an ArrayList object.
Code:
myList.add("eduCBA"); myList.add(1); myList.add(5.2);
On printing the ArrayList object, one can see that it contains the following values: [eduCBA, 1, 5.2].
Output:
To retrieve these values into variables, one needs to typecast them.
Code:
String someStr = (String)myList.get(0); Integer someInt = (Integer)myList.get(1); Double someFlt = (Double)myList.get(2);
If one does not typecast, it will prompt a compile-time error stating, “Type mismatch: cannot convert from Object to String”
Output:
Thus, one must typecast them to their respective types while retrieving the objects from the ArrayList. However, in real-time scenarios, an ArrayList can contain thousands of records, and manually typecasting every object may not be feasible. There is the risk of mistakenly typecasting an object to an incorrect data type. In such cases, a runtime error will occur, stating “Exception in thread “main” java.lang.ClassCastException: java.lang.Integer cannot be cast to java.lang.String at com.serviceClasess.Runner.main(Runner.java:43)”.
As there is no guarantee with regard to the type of data present inside a collection (in this case, ArrayList), they are considered unsafe to use with respect to type. Here, Generics play a role in providing type safety.
Code:
ArrayList<String> myList = new ArrayList<String>();
The String type is specified inside the angular brackets “>” which means that this particular implementation of ArrayList can only hold String type data. If one tries to add another data type, it will simply throw a compile-time error. Here, the ArrayList has been made type-safe by eliminating its chances of adding a data type other than “String.”
Output:
Now, since one has specified the data type that is allowed to be added to the collection with the help of Generics, there is no need to typecast it while retrieving the data. One can simply retrieve the data by writing.
Code:
String someStr = myList.get(0);
Output:
So far, we have seen how we can achieve type safety and code reusability with Generics.
In addition to type safety and code reusability, here are some other features that Generics can provide:
In the case of a bounded type, the data type of a parameter is bounded to a particular range. The keyword “extends” helps achieve this.
For example, let’s consider a Generic class with a bounded type parameter that extends the ‘Runnable interface’:
Code:
class myGenericClass<T extends Runnable>{}
Now, while creating its object in another class:
Code:
myGenericClass<Thread> myGen = new myGenericClass<Thread>();
The above statement will execute perfectly without any errors. In the case of the bounded type, one can pass the same class type or its child class type. Also, one can bind the parameter type to an interface and pass its implementations when invoking it, as in the example above.
What happens if one uses any other type of parameter?
Code:
myGenericClass<Integer> myGen = new myGenericClass<Integer >();
In the above case, it will result in a compile-time error, stating “Bound mismatch: The type Integer is not a valid substitute for the typecast
Output:
Example:
Code:
class myGeneric<T extends Number & Runnable>{}
In this case, one can pass any type that extends the Number class and implements the Runnable interface. However, when using multiple bounded types, a few things should be noted:
The “?” (question mark) symbol represents Type Wildcards. It makes use of two main keywords:
Example:
Code:
ArrayList<? extends T> al
The ArrayList object “al” will hold any data of type T and all its subclasses.
Code:
ArrayList<? super T> al
The ArrayList object “al” will hold any data of type T and all its superclasses.
Generics scope is limited to compile time, i.e., the Generics concept is applicable only at compile time but not at run time.
Example:
Code:
ArrayList myList = new ArrayList<Integer>(); ArrayList myList = new ArrayList<Float>(); ArrayList myList = new ArrayList<Double>(); ArrayList myList = new ArrayList<Boolean>();
Here all the above four statements are the same. They will allow adding any type of data to the list object.
Generics renders coding easy for a coder. It diminishes the chances of encountering ClassCastException at run time by providing strong type-checking. Also, it eliminates the need for typecasting, which means less code needs to be written. It allows the development of Generic algorithms independent of the data type they are working with.
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