Creating Generic Pair
Defining a Custom Generic Pair Class
Creating a custom generic Pair class involves several key implementation strategies:
Basic Pair Implementation
public class Pair<K, V> {
private final K first;
private final V second;
public Pair(K first, V second) {
this.first = first;
this.second = second;
}
public K getFirst() {
return first;
}
public V getSecond() {
return second;
}
}
Different Types of Pair Creation
Primitive Type Pairs
Pair<Integer, String> numberNamePair = new Pair<>(42, "Answer");
Pair<Double, Boolean> scoreFlagPair = new Pair<>(95.5, true);
Object Type Pairs
Pair<String, User> userDetailPair = new Pair<>("admin", new User());
Pair<Date, List<String>> dateEventsPair = new Pair<>(new Date(), Arrays.asList("Meeting", "Presentation"));
Advanced Pair Creation Techniques
Factory Method Pattern
public class PairFactory {
public static <K, V> Pair<K, V> createPair(K first, V second) {
return new Pair<>(first, second);
}
}
Pair Creation Strategies
Strategy |
Description |
Use Case |
Direct Constructor |
Simple, straightforward |
Basic pair creation |
Factory Method |
Provides additional flexibility |
Complex object creation |
Static Factory |
Enables type inference |
Modern Java implementations |
Immutability Considerations
flowchart TD
A[Pair Creation] --> B{Immutability?}
B -->|Yes| C[Use final fields]
B -->|No| D[Allow setter methods]
Best Practices
- Use
final
fields for immutability
- Implement proper equals() and hashCode() methods
- Consider using Java's built-in utility classes
Example with Equals and HashCode
public class Pair<K, V> {
private final K first;
private final V second;
// Constructor and getter methods
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (!(o instanceof Pair)) return false;
Pair<?, ?> pair = (Pair<?, ?>) o;
return Objects.equals(first, pair.first) &&
Objects.equals(second, pair.second);
}
@Override
public int hashCode() {
return Objects.hash(first, second);
}
}
LabEx Recommendation
When creating generic Pairs, always consider:
- Type safety
- Immutability
- Performance implications
By mastering these techniques, developers can create robust and flexible Pair implementations in their Java applications.