π Java Collections - Mastering the List Interface with Real-World Use Cases


Series: Java Collections Framework | Part 3 β List
Hey developers! π
Welcome to the third blog of my Java Collections series. After exploring Set
and Queue
, letβs now understand one of the most commonly used interfaces in the Java Collections Framework β List
.
From storing ordered data to accessing elements by index, the List
interface powers many real-world applications, including shopping carts, to-do apps, user profiles, and more.
π§ What is a List
in Java?
A List
is an ordered collection of elements that can contain duplicates. It allows precise control over element positioning using indices and supports operations like insertion, deletion, and iteration.
Key Features:
Maintains insertion order
Allows duplicate elements
Elements can be accessed by index
π§ Common Implementations
Class | Order Maintained | Allows Duplicates | Performance |
ArrayList | β Yes | β Yes | Fast random access |
LinkedList | β Yes | β Yes | Fast insert/delete at ends |
Vector | β Yes | β Yes | Thread-safe version of ArrayList (legacy) |
π‘ Real-World Problem Statement
βYouβre building a to-do list app where users can add tasks, view them in order, and remove or update them later. The list can contain duplicate tasks if the user wants to repeat the same task.β
π§ Use Case 1: Build a To-Do List
Solution: Use ArrayList
πΈ ArrayList
:
Backed by a dynamic array.
Excellent for random access.
Slower for insertions/removals (especially in the middle of the list).
β Code Example:
import java.util.ArrayList;
import java.util.List;
public class TodoApp {
public static void main(String[] args) {
List<String> tasks = new ArrayList<>();
tasks.add("Wake up");
tasks.add("Go for a run");
tasks.add("Complete Java assignment");
tasks.add("Go for a run"); // Duplicate allowed
System.out.println("Today's Tasks:");
for (String task : tasks) {
System.out.println("- " + task);
}
// Remove a completed task
tasks.remove("Wake up");
System.out.println("\nRemaining Tasks:");
tasks.forEach(task -> System.out.println("- " + task));
}
}
π Output:
Today's Tasks:
- Wake up
- Go for a run
- Complete Java assignment
- Go for a run
Remaining Tasks:
- Go for a run
- Complete Java assignment
- Go for a run
π§ Use Case 2: Manage Browser History with Frequent Insertions/Deletions
Solution: Use LinkedList
πΈ LinkedList
:
Doubly linked list.
Great for frequent insertions/removals, especially at the start or end.
Slower than
ArrayList
for random access.
β Code Example:
\import java.util.LinkedList;
import java.util.List;
public class BrowserHistory {
public static void main(String[] args) {
List<String> history = new LinkedList<>();
history.add("google.com");
history.add("linkedin.com");
history.add("hashnode.com");
history.remove("google.com"); // User cleared the Google visit
System.out.println("Current History:");
history.forEach(site -> System.out.println("- " + site));
}
}
π Output:
Current History:
- linkedin.com
- hashnode.com
π§ Use Case 3: Thread-Safe List for Legacy Systems
Solution: Use Vector
πΈ Vector
:
Synchronized version of
ArrayList
.Legacy class (prefer alternatives with
Collections.synchronizedList()
).Slower due to thread-safety overhead.
β Code Example:
import java.util.Vector;
public class ThreadSafeList {
public static void main(String[] args) {
Vector<String> messages = new Vector<>();
messages.add("Hello");
messages.add("World");
messages.add("Hello"); // Duplicate allowed
System.out.println("Messages: " + messages);
}
}
β Use
Vector
only if you need built-in synchronization and are working on legacy code.
π When to Use What?
List Type | Best For | Avoid If... |
ArrayList | Fast access by index | You do frequent inserts/deletes |
LinkedList | Frequent inserts/deletes | You need fast random access |
Vector | Legacy thread-safe requirement | You're building modern apps |
π§ Bonus Tips
β
Use List.of(...)
(Java 9+) for immutable lists
β
Combine List
with Collections.sort()
for sorting tasks
β
Use Collections.unmodifiableList(list)
to create read-only lists
π― Summary
List
is your go-to collection when you want an ordered group of elements with possible duplicates.Choose the right implementation based on performance and use case:
ArrayList
: Fast accessLinkedList
: Fast inserts/removalsVector
: Thread-safe legacy use
π Coming Up Next
Next in this series: Weβll cover the Map interface, exploring HashMap
, LinkedHashMap
, and TreeMap
with real-world examples like storing user profiles and mapping students to their scores.
Stay tuned & follow for updates!
Subscribe to my newsletter
Read articles from Suraj Shinde directly inside your inbox. Subscribe to the newsletter, and don't miss out.
Written by

Suraj Shinde
Suraj Shinde
I'm Suraj Parmeshwar Shinde, a passionate software developer from Tadshivani, Maharashtra, currently based in Pune. Iβve recently completed my Bachelor of Computer Applications (BCA) from Badrinarayan Barwale College, Jalna. During my graduation, I worked as a Software Intern at PRYM Aerospace Pvt. Ltd., where I contributed to the development of an AI-based crop advisory platform using technologies like Node.js, Flask, and React.js. This experience helped me gain hands-on knowledge of real-world software development and agile practices. For my final year project, I built Medicheck, a full-stack doctor appointment booking system using the MERN stack and Tailwind CSS. It features patient and admin panels, doctor profiles, secure Razorpay payments, and a mobile-responsive interface. My core technical skills include React.js, Node.js, Express.js, JavaScript, Java, MongoDB, SQL, and tools like Git, Postman, Docker, and Netlify. Iβm a quick learner who enjoys building real-world applications, solving logical problems, and writing clean, maintainable code. Outside of tech, I enjoy driving and reading books. Iβm always eager to grow, collaborate, and contribute to impactful technology solutions.