Different Java’s Set Implementations
The Set interface in Java is implemented by multiple classes, each with unique characteristics. Below is a detailed comparison of all Set implementations.
1. HashSet
- Underlying Data Structure: Hash table (HashMap internally).
- Order: ❌ No guaranteed order.
- Duplicates: ❌ Not allowed.
- Null Values: ✅ Allows one null value.
- Time Complexity:
- O(1) for insert, delete, and search (on average).
- O(n) in the worst case (if hash collisions occur).
- Best Use Case: When fast operations and uniqueness matter, but order does not.
🔹 Example:
Set<String> hashSet = new HashSet<>();
hashSet.add("Apple");
hashSet.add("Banana");
hashSet.add("Mango");
System.out.println(hashSet); // Order is unpredictable
✅ Pros:
- Fast operations O(1).
- Allows null values.
- Best for large sets of data.
❌ Cons:
- No ordering.
- Performance drops if hash collisions occur.
2. LinkedHashSet (Extends HashSet)
- Underlying Data Structure: Hash table + Doubly linked list.
- Order: ✅ Maintains insertion order.
- Duplicates: ❌ Not allowed.
- Null Values: ✅ Allows one null value.
- Time Complexity:
- O(1) for insert, delete, and search (on average).
- O(n) in the worst case.
- Best Use Case: When you need fast operations but also want to preserve insertion order.
🔹 Example:
Set<String> linkedHashSet = new LinkedHashSet<>();
linkedHashSet.add("Apple");
linkedHashSet.add("Banana");
linkedHashSet.add("Mango");
System.out.println(linkedHashSet); // Output: [Apple, Banana, Mango] (Insertion order preserved)
✅ Pros:
- Maintains insertion order.
- Fast lookup and insertions.
❌ Cons:
- Slightly more memory overhead due to the linked list.
- Slightly slower than HashSet.
3. TreeSet (Implements NavigableSet)
- Underlying Data Structure: Red-Black Tree (Self-balancing BST).
- Order: ✅ Sorted order (natural or custom Comparator).
- Duplicates: ❌ Not allowed.
- Null Values: ❌ Not allowed (since Java 7).
- Time Complexity:
- O(log n) for insert, delete, and search.
- Best Use Case: When sorted order is needed.
🔹 Example:
Set<Integer> treeSet = new TreeSet<>();
treeSet.add(5);
treeSet.add(1);
treeSet.add(10);
System.out.println(treeSet); // Output: [1, 5, 10] (Sorted order)
✅ Pros:
- Automatically sorts elements.
- Provides higher(), lower(), ceiling(), floor() methods.
❌ Cons:
- Slower than HashSet and LinkedHashSet (O(log n) operations).
- Does not allow null values.
4. EnumSet (Optimized for Enums)
- Underlying Data Structure: Bitwise operations (very memory-efficient).
- Order: ✅ Maintains natural order (Enum ordinal order).
- Duplicates: ❌ Not allowed.
- Null Values: ❌ Not allowed.
- Time Complexity:
- O(1) for insert, delete, and search.
- Best Use Case: When working with enum values.
🔹 Example:
enum Days { MONDAY, TUESDAY, WEDNESDAY }
Set<Days> enumSet = EnumSet.of(Days.MONDAY, Days.WEDNESDAY);
System.out.println(enumSet); // Output: [MONDAY, WEDNESDAY]
✅ Pros:
- Extremely fast and memory-efficient.
- Best choice for enum types.
❌ Cons:
- Only works with enums.
- Does not allow null values.
5. ConcurrentSkipListSet (Thread-safe, Sorted Set)
- Underlying Data Structure: Skip List.
- Order: ✅ Sorted order (natural or custom Comparator).
- Duplicates: ❌ Not allowed.
- Null Values: ❌ Not allowed.
- Thread Safety: ✅ Thread-safe.
- Time Complexity:
- O(log n) for insert, delete, and search.
- Best Use Case: When a sorted, thread-safe set is needed.
🔹 Example:
Set<Integer> concurrentSet = new ConcurrentSkipListSet<>();
concurrentSet.add(3);
concurrentSet.add(1);
concurrentSet.add(2);
System.out.println(concurrentSet); // Output: [1, 2, 3] (Sorted)
✅ Pros:
- Thread-safe.
- Maintains sorted order.
❌ Cons:
- Slower than HashSet and LinkedHashSet.
- More memory overhead.
When to Use Which?

Summary:
- Use HashSet when fast performance is required and order doesn’t matter.
- Use LinkedHashSet when insertion order needs to be maintained.
- Use TreeSet when sorted order is required.
- Use EnumSet when working with enum values.
- Use ConcurrentSkipListSet when thread safety and sorting are required.
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