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Powered by GitBook
On this page
  • About
  • Features
  • Internal Working
  • 1. HashMap as the Backbone
  • 2. Adding Elements
  • 3. Retrieving Elements
  • 4. Hashing and Buckets
  • 5. Removing Elements
  • Key Methods
  • Big-O for Operations
  • Limitations
  • Real-World Usage
  • Examples
  • 1. Basic Operations
  • 2. Iteration
  • 3. Set Operations

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  1. Java
  2. Java Overview
  3. Data Types
  4. Non-Primitive (Reference) Types
  5. Collections
  6. Set

HashSet

About

HashSet is a part of the Java Collections Framework and is implemented using a HashMap internally. It represents a collection of unique elements and does not allow duplicate entries. HashSet relies on the hashing mechanism for storing and retrieving elements efficiently.

Features

  1. No Duplicates: Ensures all elements are unique. Duplicate entries are ignored.

  2. Null Element: Allows a single null element.

  3. Unordered: Does not maintain insertion order; the order is determined by the hash table.

  4. High Performance: Provides constant-time performance for basic operations like add, remove, and contains (O(1)), assuming the hash function disperses elements properly.

  5. Not Thread-Safe: HashSet is not synchronized. For thread safety, you need to use Collections.synchronizedSet() or consider ConcurrentHashSet alternatives.

  6. Backed by HashMap: Internally uses a HashMap with the elements as keys and a dummy value.

Internal Working

1. HashMap as the Backbone

  • HashSet internally uses a HashMap to store its elements.

  • Each element in the HashSet is stored as a key in the underlying HashMap, and the value is a constant dummy object (PRESENT).

2. Adding Elements

  • When an element is added using add(E e), HashSet calls the put() method of the underlying HashMap.

  • If the key (element) already exists, it is ignored, ensuring uniqueness.

3. Retrieving Elements

  • The contains(Object o) method uses the containsKey() method of the HashMap to check if the element exists.

4. Hashing and Buckets

  • The HashSet relies on the hashCode() and equals() methods to determine the uniqueness of elements.

  • Elements are distributed across buckets based on their hash values.

  • Collisions are handled by storing multiple elements in a linked list or tree structure (depending on Java version).

5. Removing Elements

  • The remove(Object o) method calls the remove() method of the underlying HashMap, which removes the key-value pair corresponding to the element.

Key Methods

Method

Description

add(E e)

Adds the specified element to the set if it is not already present.

remove(Object o)

Removes the specified element from the set if it exists.

contains(Object o)

Checks if the set contains the specified element.

size()

Returns the number of elements in the set.

clear()

Removes all elements from the set.

isEmpty()

Checks if the set is empty.

iterator()

Returns an iterator over the elements in the set.

toArray()

Returns an array containing all the elements in the set.

Big-O for Operations

Operation

Time Complexity

Add

O(1) (average case)

Remove

O(1) (average case)

Contains

O(1) (average case)

Iteration

O(n)

Limitations

  1. No Ordering: The iteration order is not guaranteed.

  2. Not Thread-Safe: Requires external synchronization for concurrent access.

  3. Dependent on Hashing: Poorly implemented hashCode() and equals() can lead to performance degradation.

  4. Memory Overhead: Requires extra memory due to the underlying HashMap.

Real-World Usage

  1. Unique Collections: Maintaining a collection of unique elements, such as a list of unique IDs.

  2. Membership Testing: Checking whether an element exists in a collection.

  3. Set Operations: Performing mathematical set operations like union, intersection, and difference.

Examples

1. Basic Operations

import java.util.HashSet;

public class HashSetExample {
    public static void main(String[] args) {
        HashSet<String> set = new HashSet<>();

        // Adding elements
        set.add("Apple");
        set.add("Banana");
        set.add("Cherry");
        set.add("Apple"); // Duplicate, ignored
        System.out.println(set); // Output: [Banana, Apple, Cherry] (order may vary)

        // Checking for an element
        System.out.println(set.contains("Banana")); // Output: true

        // Removing an element
        set.remove("Banana");
        System.out.println(set); // Output: [Apple, Cherry] (order may vary)

        // Checking size
        System.out.println(set.size()); // Output: 2
    }
}

2. Iteration

import java.util.HashSet;

public class IterationExample {
    public static void main(String[] args) {
        HashSet<Integer> numbers = new HashSet<>();

        numbers.add(10);
        numbers.add(20);
        numbers.add(30);

        // Using for-each loop
        for (Integer number : numbers) {
            System.out.println(number);
        }
        // Output:
        // 10
        // 20
        // 30 (order may vary)
    }
}

3. Set Operations

import java.util.HashSet;

public class SetOperations {
    public static void main(String[] args) {
        HashSet<String> set1 = new HashSet<>();
        set1.add("A");
        set1.add("B");
        set1.add("C");

        HashSet<String> set2 = new HashSet<>();
        set2.add("B");
        set2.add("C");
        set2.add("D");

        // Union
        HashSet<String> union = new HashSet<>(set1);
        union.addAll(set2);
        System.out.println("Union: " + union); // Output: Union: [A, B, C, D]

        // Intersection
        HashSet<String> intersection = new HashSet<>(set1);
        intersection.retainAll(set2);
        System.out.println("Intersection: " + intersection); // Output: Intersection: [B, C]

        // Difference
        HashSet<String> difference = new HashSet<>(set1);
        difference.removeAll(set2);
        System.out.println("Difference: " + difference); // Output: Difference: [A]
    }
}

PreviousSetNextLinkedHashSet

Last updated 5 months ago

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