Map Interface &
HashMap in Java: A Deep
Dive
Explore the core concepts of Java's Map interface and its most popular
implementation, HashMap. Understand their functionality, practical
applications, and optimized usage.
Jay Varshney (2301921520085)
Ishank Aggarwal (2301921520084)
Dikshant Sharma (2301921520068)
Eklavya Verma (2301921520071)
Lakshay Saxena (2301921520102)
Kangana Vashistha (2301921520088)
Group Members:
Introduction to Map
Interface
Definition
Stores data in key-value
pairs. Each key is unique.
Use Cases
Perfect for dictionaries,
look-up tables, and caching
data.
Key Methods
Includes put(), get(), containsKey(), and remove().
Methods in Java Map
Interface
Understanding
HashMap
Internal Working
Uses an array of buckets for storage.
Hashing
Keys are transformed into hash codes. This determines
the bucket index.
Collision Handling
Manages multiple entries mapping to the same bucket. It
uses linked lists or tree nodes.
Internal Structure of
HashMap
Internally HashMap contains an array of Node and
a node is represented as a class that contains 4
fields:
int hash
K key
V value
Node next
It can be seen that the node contains a reference
to its object. So it's a linked list.
HashMap
:
Node:
Features:
HashMap Code
Implementation
import java.util.HashMap;
import java.util.Map;
public class BasicHashMap {
public static void main(String[] args) {
Map<String, Integer> ages = new HashMap<>();
// Adding elements
ages.put("Alice", 30);
ages.put("Bob", 25);
ages.put("Charlie", 35);
// Retrieving elements
System.out.println("Alice's age: " +
ages.get("Alice"));
// Removing an element
ages.remove("Bob");
System.out.println("Map after removing Bob: " +
ages);
}
}
• Create a HashMap: Instantiate a new HashMap.
• Add elements: Use put() to insert key-value pairs.
• Retrieve elements: Use get() with the key.
• Remove elements: Use remove() with the key.
Iterating Through
HashMap
import java.util.HashMap;
import java.util.Map;
public class IterateHashMap {
public static void main(String[] args) {
Map<String, Integer> scores = new HashMap<>();
scores.put("John", 90);
scores.put("Jane", 85);
// Using entrySet()
for (Map.Entry entry : scores.entrySet()) {
System.out.println("Key: " + entry.getKey() + ", Value: " +
entry.getValue());
}
// Using keySet()
for (String name : scores.keySet()) {
System.out.println("Key: " + name);
}
// Using values()
for (Integer score : scores.values()) {
System.out.println("Value: " + score);
}
}
}
HashMap vs. TreeMap vs.
LinkedHashMap
Order No
guaranteed
order
Sorted by key Insertion
order
Null
Keys/Values
One null key,
multiple null
values
No null keys,
multiple null
values
One null key,
multiple null
values
Performanc
e
O(1) average O(log n) O(1) average
Applications of HashMap:
• Storing user details
• Caching (Memory Optimization)
• Counting Frequencies
• Game Development (Object Mapping)
• Sorting Configuration Settings
• Dictionary For Natural Language Processing
Conclusion
HashMap is a crucial data structure for efficient key-value storage. It
offers constant-time performance on average.
• Performance: Generally O(1) for put/get.
• Considerations: Impact of collisions and rehashing.
• When to use: Ideal for fast lookups. Do not need insertion order or
sorted order.
THANK YOU

Map-Interface-and-HashMap-in-Java-A-Deep-Dive.pptx.pptx

  • 1.
    Map Interface & HashMapin Java: A Deep Dive Explore the core concepts of Java's Map interface and its most popular implementation, HashMap. Understand their functionality, practical applications, and optimized usage. Jay Varshney (2301921520085) Ishank Aggarwal (2301921520084) Dikshant Sharma (2301921520068) Eklavya Verma (2301921520071) Lakshay Saxena (2301921520102) Kangana Vashistha (2301921520088) Group Members:
  • 2.
    Introduction to Map Interface Definition Storesdata in key-value pairs. Each key is unique. Use Cases Perfect for dictionaries, look-up tables, and caching data. Key Methods Includes put(), get(), containsKey(), and remove().
  • 3.
    Methods in JavaMap Interface
  • 4.
    Understanding HashMap Internal Working Uses anarray of buckets for storage. Hashing Keys are transformed into hash codes. This determines the bucket index. Collision Handling Manages multiple entries mapping to the same bucket. It uses linked lists or tree nodes.
  • 5.
    Internal Structure of HashMap InternallyHashMap contains an array of Node and a node is represented as a class that contains 4 fields: int hash K key V value Node next It can be seen that the node contains a reference to its object. So it's a linked list. HashMap : Node:
  • 7.
  • 8.
    HashMap Code Implementation import java.util.HashMap; importjava.util.Map; public class BasicHashMap { public static void main(String[] args) { Map<String, Integer> ages = new HashMap<>(); // Adding elements ages.put("Alice", 30); ages.put("Bob", 25); ages.put("Charlie", 35); // Retrieving elements System.out.println("Alice's age: " + ages.get("Alice")); // Removing an element ages.remove("Bob"); System.out.println("Map after removing Bob: " + ages); } } • Create a HashMap: Instantiate a new HashMap. • Add elements: Use put() to insert key-value pairs. • Retrieve elements: Use get() with the key. • Remove elements: Use remove() with the key.
  • 9.
    Iterating Through HashMap import java.util.HashMap; importjava.util.Map; public class IterateHashMap { public static void main(String[] args) { Map<String, Integer> scores = new HashMap<>(); scores.put("John", 90); scores.put("Jane", 85); // Using entrySet() for (Map.Entry entry : scores.entrySet()) { System.out.println("Key: " + entry.getKey() + ", Value: " + entry.getValue()); } // Using keySet() for (String name : scores.keySet()) { System.out.println("Key: " + name); } // Using values() for (Integer score : scores.values()) { System.out.println("Value: " + score); } } }
  • 10.
    HashMap vs. TreeMapvs. LinkedHashMap Order No guaranteed order Sorted by key Insertion order Null Keys/Values One null key, multiple null values No null keys, multiple null values One null key, multiple null values Performanc e O(1) average O(log n) O(1) average
  • 11.
    Applications of HashMap: •Storing user details • Caching (Memory Optimization) • Counting Frequencies • Game Development (Object Mapping) • Sorting Configuration Settings • Dictionary For Natural Language Processing
  • 12.
    Conclusion HashMap is acrucial data structure for efficient key-value storage. It offers constant-time performance on average. • Performance: Generally O(1) for put/get. • Considerations: Impact of collisions and rehashing. • When to use: Ideal for fast lookups. Do not need insertion order or sorted order.
  • 13.