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Collections in Java
Tushar Varshney

Posted on Jun 6, 2025 | Coding

Collections in Java

Today, we’re diving deep into the Java Collections Framework — the backbone of Java programming when it comes to storing, managing, and manipulating groups of objects efficiently. Whether you’re building simple apps or complex systems, understanding the collections framework is essential for writing clean, efficient, and maintainable code.

From lists and sets to maps and queues, Java provides a rich set of interfaces and classes to handle almost any data storage scenario. In this blog, we’ll explore the core components, popular implementations, and practical tips to help you harness the full power of Java collections.


List of Content :

  • What is Java Collections Framework?
  • Collection interface
  • Popular Implementations
  • Key Features and Utilities
  • Performance Considerations
  • Test your understanding with a short quiz or coding task

📚 What is Java Collections Framework?

The Java Collections Framework (JCF) is a set of interfaces, classes, and algorithms provided by Java to store and manipulate groups of objects in a standardized and efficient way.

It provides:

  • Reusable data structures like lists, sets, maps, and queues 🗂️

  • Algorithms to perform operations such as searching, sorting, and manipulating data 🔍🔄

  • Uniform API so you can switch implementations easily without changing your code 🔄

  • Type safety with the help of generics, reducing runtime errors 🛡️

The framework was introduced in Java 2 (JDK 1.2) and has since become an essential part of Java programming, simplifying data management and boosting developer productivity.


🧺 The Collection Interface in Java

At the heart of the Java Collections Framework is the Collection interface — the root interface for most of the data structure classes (excluding Map, which has a separate hierarchy).

It represents a group of objects, also called elements, and provides common methods that are inherited by its subinterfaces like List, Set, and Queue.

🔑 Key Features of Collection Interface

  • Defines basic operations like:

    • add(E e) – Add an element

    • remove(Object o) – Remove an element

    • contains(Object o) – Check if an element exists

    • isEmpty() – Check if the collection is empty

    • size() – Returns number of elements

    • iterator() – Returns an Iterator to traverse the collection

  • Supports bulk operations:

    • addAll(Collection<?> c)

    • removeAll(Collection<?> c)

    • retainAll(Collection<?> c)

    • clear()

🧬 Basic Hierarchy of Collection

         Collection<E>
            /   |   \
           /    |    \
       List   Set   Queue

Each subinterface adds specialized behavior:

  • 📋 List: Ordered collection (e.g., ArrayList, LinkedList)

  • 🔁 Set: No duplicate elements (e.g., HashSet, TreeSet)

  • 🎯 Queue: FIFO structure (e.g., PriorityQueue, Deque)


🌟 Popular Implementations of Java Collections Framework

📋 List Implementations

Class Description
ArrayList 🔢 Resizable array, fast random access, slower insertions/deletions
LinkedList 🔗 Doubly linked list, faster insertions/deletions, slower random access
Vector 🧱 Synchronized version of ArrayList (legacy, rarely used today)
Stack 📚 LIFO (Last-In-First-Out) stack implementation, extends Vector

🔁 Set Implementations

Class Description
HashSet ⚡ Fastest set implementation, no order, does not allow duplicates
LinkedHashSet 📐 Maintains insertion order, no duplicates
TreeSet 🌳 Sorted set (ascending order by default), no duplicates, slower than HashSet

🧮 Map Implementations

Class Description
HashMap ⚡ Fast key-value store, no order, allows one null key and multiple null values
LinkedHashMap 📐 Maintains insertion order, useful for LRU caches
TreeMap 🌳 Sorted by keys (natural or custom order), does not allow null keys
Hashtable 🔐 Synchronized version of HashMap (legacy)
ConcurrentHashMap ⚙️ Thread-safe alternative, better for multi-threaded environments

🎯 Queue & Deque Implementations

Class Description
PriorityQueue 🥇 Elements ordered by natural order or custom comparator (min-heap by default)
ArrayDeque 🔁 Efficient double-ended queue, faster than Stack and LinkedList for stack/queue

🛠️ key features and utilities of java collections framework

java collections come with built-in methods to make data handling easier:

  • add(element) – adds an element to the collection

  • remove(element) – removes a specific element

  • contains(element) – checks if an element exists

  • size() – returns the number of elements

  • isEmpty() – checks if the collection is empty

  • clear() – removes all elements

  • iterator() – returns an iterator for traversing

java provides the collections utility class with many helpful methods:

method description
Collections.sort(list) sorts a list in natural order
Collections.reverse(list) reverses the order of elements
Collections.max(collection) finds the maximum element
Collections.min(collection) finds the minimum element
Collections.binarySearch(list, key) performs binary search (sorted list)

⚙️ performance considerations in java collections

🧮 time complexity of common operations

operation arraylist linkedlist hashmap hashset treeset
add (end) o(1) o(1) o(1) o(1) o(log n)
add (middle/start) o(n) o(1) (if head) o(1) o(1) o(log n)
remove (by value) o(n) o(n) o(1) o(1) o(log n)
get (by index/key) o(1) o(n) o(1) n/a n/a
contains o(n) o(n) o(1) o(1) o(log n)
iteration o(n) o(n) o(n) o(n) o(n)

🔍 choosing the right collection

  • use arraylist for frequent access and few insertions/removals

  • use linkedlist when you need fast insertions/deletions at ends

  • use hashmap when you want fast key-value access

  • use treeset/treemap when you need sorted data

  • use linkedhashmap/linkedhashset when insertion order matters


🧠 test your understanding – short quiz & coding task

  1. which of the following allows duplicate elements?
    a) hashset
    b) treeset
    c) arraylist
    d) linkedhashset

correct answer: c) arraylist

  1. which map implementation maintains the insertion order of keys?
    a) hashmap
    b) treemap
    c) linkedhashmap
    d) hashtable

correct answer: c) linkedhashmap

  1. what is the time complexity of getting an element from an arraylist by index?
    a) o(1)
    b) o(n)
    c) o(log n)
    d) o(n²)

correct answer: a) o(1)

for more topics Click Here.

Happy Coding!!

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