Common Use Cases
Use Case Scenarios
graph TD
A[Integer Wrapper Use Cases] --> B[Collections]
A --> C[Null Handling]
A --> D[Type Conversion]
A --> E[Utility Operations]
1. Collections and Generics
List and Set Operations
List<Integer> numbers = new ArrayList<>();
numbers.add(42);
numbers.add(null); // Possible with Integer, not with int
// Sorting collections
Collections.sort(numbers, Comparator.nullsLast(Integer::compare));
2. Null Value Handling
Conditional Processing
Integer value = null;
int result = Optional.ofNullable(value)
.map(v -> v * 2)
.orElse(0);
3. Type Conversion Scenarios
Method Overloading
public void processNumber(int primitive) {
System.out.println("Primitive: " + primitive);
}
public void processNumber(Integer wrapper) {
System.out.println("Wrapper: " + wrapper);
}
4. Utility Methods
Comparison and Validation
Method |
Description |
Example |
Integer.compare() |
Compare two integers |
Integer.compare(10, 20) |
Integer.max() |
Find maximum |
Integer.max(5, 10) |
Integer.min() |
Find minimum |
Integer.min(5, 10) |
5. Parsing and Validation
String userInput = "123";
try {
Integer parsedValue = Integer.valueOf(userInput);
// Process validated integer
} catch (NumberFormatException e) {
// Handle invalid input
}
Integer Cache
Integer a = 127;
Integer b = 127;
System.out.println(a == b); // true
Integer x = 128;
Integer y = 128;
System.out.println(x == y); // false
7. Stream and Functional Operations
Lambda and Stream Processing
List<Integer> numbers = Arrays.asList(1, 2, 3, 4, 5);
int sum = numbers.stream()
.filter(n -> n % 2 == 0)
.mapToInt(Integer::intValue)
.sum();
LabEx Recommendation
At LabEx, we emphasize understanding the nuanced behavior of Integer wrappers to write more efficient and robust Java code.
Best Practices
- Use wrapper classes when working with collections
- Leverage Optional for null-safe operations
- Be aware of Integer caching behavior
- Choose appropriate conversion methods
- Handle potential parsing exceptions