Collections Framework in Java: Mastering List, Set, Map Interfaces with Code and Use Cases
1. Introduction to the Java Collections Framework
The Java Collections Framework (JCF) is a set of interfaces and classes that handle groups of objects efficiently. It provides data structures like lists, sets, queues, and maps.
Key benefits:
-
Reduces development effort with ready-to-use data structures.
-
Improves performance through well-optimized implementations.
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Supports polymorphism by using interface-based programming.
Main interfaces: List, Set, Map
Popular implementations: ArrayList, HashSet, HashMap.
2. List Interface: Ordered Collections with Duplicates Allowed
A List in Java stores ordered elements and allows duplicate entries.
Common Implementations:
-
ArrayList– Fast access, resizable array. -
LinkedList– Efficient insertions/deletions.
Example:
import java.util.*;
public class ListExample {
public static void main(String[] args) {
List<String> fruits = new ArrayList<>();
fruits.add("Apple");
fruits.add("Banana");
fruits.add("Apple"); // Duplicates allowed
System.out.println(fruits);
}
}
📌 Use List when order matters or duplicates are needed.
3. Set Interface: Unique Elements with No Duplicates
A Set represents a collection of unique elements, i.e., no duplicates.
Common Implementations:
-
HashSet– No guaranteed order, fast operations. -
LinkedHashSet– Maintains insertion order. -
TreeSet– Sorted elements.
Example:
📌 Use Set when uniqueness is essential.
4. Map Interface: Key-Value Pairs for Fast Lookup
Map stores key-value pairs, where each key is unique.
Common Implementations:
-
HashMap– Fast lookup, no order. -
LinkedHashMap– Maintains insertion order. -
TreeMap– Sorted by keys.
Example:
📌 Use Map when you need to associate keys with values for quick retrieval.
5. Choosing Between List, Set, and Map: When and Why
| Interface | Use Case | Duplicates | Ordered |
|---|---|---|---|
| List | Maintain sequence of items | Yes | Yes |
| Set | Unique collection like tags, IDs | No | Depends on implementation |
| Map | Store data with a lookup key | Keys: No, Values: Yes | Depends on implementation |
Real-Life Examples:
-
List: Shopping cart items -
Set: Unique student roll numbers -
Map: Phonebook or dictionary (Name → Phone)
Choose the right structure based on requirements for uniqueness, ordering, and key-value pairing.
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