Part Generics in Collections, Sorting, and Utility Methods

In this follow-up post, we’ll focus entirely on Generics in Collections, the concept of type safety in Java collections, and how generics make your code more flexible and robust. Additionally, we’ll explore how sorting works with generic collections and some advanced utility methods that come in handy.

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Table of Contents

1. Introduction to Generics
2. Generics in Lists
3. Generics in Sets
4. Generics in Maps
5. Sorting with Generics
6. Advanced Utility Methods
7. Common Generics Mistakes
8. Challenges
9. Conclusion

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Introduction to Generics

Generics in Java allow you to write a class, interface, or method that works with any data type. By using generics with collections, you ensure type safety at compile time. This means you can avoid potential ClassCastException errors and eliminate the need for explicit casting.

For example:

List<string> strings = new ArrayList();
strings.add("Hello");
// Adding a non-String value will now cause a compile-time error.
</string>

Generics ensure that only the specified data type can be stored in the collection, preventing runtime issues and making code more readable and maintainable.

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Generics in Lists

Generics in lists ensure that you can only store objects of the specified type. For example, List allows only String objects, while List allows only Integer objects.

Code Example

import java.util.ArrayList;
import java.util.List;

public class GenericListExample {
    public static void main(String[] args) {
        List<string> names = new ArrayList();
        names.add("Alice");
        names.add("Bob");

        // The following line would cause a compile-time error:
        // names.add(123); // Error: cannot add Integer to List<string>

        for (String name : names) {
            System.out.println(name);
        }
    }
}
</string></string>

Benefits

• Type Safety: The compiler will enforce that only objects of the declared type can be added to the list.
• No Explicit Casting: No need to cast when retrieving elements from the list.

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Generics in Sets

Sets with generics work similarly to lists, ensuring that all elements are of a specific type.

Code Example

import java.util.HashSet;
import java.util.Set;

public class GenericSetExample {
    public static void main(String[] args) {
        Set<integer> numbers = new HashSet();
        numbers.add(10);
        numbers.add(20);
        numbers.add(30);

        // Compile-time error if a non-Integer is added:
        // numbers.add("forty"); // Error

        for (Integer num : numbers) {
            System.out.println(num);
        }
    }
}
</integer>

Benefits

• You maintain uniqueness of elements in a type-safe way.
• Ensures that no unintended types are added.

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Generics in Maps

Maps, being key-value pairs, support generics for both the key and the value. For example, Map will enforce that the keys are String and the values are Integer.

Code Example

import java.util.HashMap;
import java.util.Map;

public class GenericMapExample {
    public static void main(String[] args) {
        Map<string integer> phoneBook = new HashMap();
        phoneBook.put("Alice", 12345);
        phoneBook.put("Bob", 67890);

        // The following would cause a compile-time error:
        // phoneBook.put(123, "Charlie"); // Error

        for (Map.Entry<string integer> entry : phoneBook.entrySet()) {
            System.out.println(entry.getKey() + ": " + entry.getValue());
        }
    }
}
</string></string>

Benefits

• You can ensure type safety for both the keys and values in the Map.
• Prevents potential runtime errors from mixing types.

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Sorting with Generics

Sorting generic collections is straightforward and is done using Collections.sort() for lists and Comparable or Comparator for custom sorting.

Code Example

List<string> strings = new ArrayList();
strings.add("Hello");
// Adding a non-String value will now cause a compile-time error.
</string>

For custom sorting, you can implement the Comparator interface.

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Advanced Utility Methods

The Collections utility class also supports operations such as binary search, shuffle, reverse, and frequency counting. These operations can be applied to generic collections for more powerful data manipulation.

Code Example

import java.util.ArrayList;
import java.util.List;

public class GenericListExample {
    public static void main(String[] args) {
        List<string> names = new ArrayList();
        names.add("Alice");
        names.add("Bob");

        // The following line would cause a compile-time error:
        // names.add(123); // Error: cannot add Integer to List<string>

        for (String name : names) {
            System.out.println(name);
        }
    }
}
</string></string>

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Common Generics Mistakes

• Using raw types: Always specify the type parameter when using collections to avoid potential runtime issues.

import java.util.HashSet;
import java.util.Set;

public class GenericSetExample {
    public static void main(String[] args) {
        Set<integer> numbers = new HashSet();
        numbers.add(10);
        numbers.add(20);
        numbers.add(30);

        // Compile-time error if a non-Integer is added:
        // numbers.add("forty"); // Error

        for (Integer num : numbers) {
            System.out.println(num);
        }
    }
}
</integer>

• Using wildcards incorrectly: When passing collections to methods, using wildcards like List> or List extends Number> can cause confusion. Understand when to use ? and the extends or super keywords.

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Challenges

Challenge 1: Generic Stack

Implement a simple stack class using generics. The stack should support pushing elements, popping elements, and checking if it’s empty.

Challenge 2: Sorting Custom Objects

Create a List of custom objects, such as Person, and sort it based on a custom field like age or name.

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Conclusion

In this post, we explored how to use Generics in Collections for type safety, flexibility, and ease of use. We also discussed sorting and advanced utility methods that make working with collections more efficient. By mastering generics, you can write more robust, error-free code that is also highly reusable.

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