The Java Collection Framework consists of various interfaces like List
, Set
, Queue
, Map
, etc. Each of these interfaces has multiple implementations that provide different ways of managing and manipulating collections based on specific requirements such as performance, ordering, and thread safety.
Here’s an overview of some of the key implementations for each core collection interface:
1. List Implementations
List is an ordered collection that allows duplicate elements. Lists maintain insertion order and allow positional access via an index.
Key Implementations:
Implementation | Description |
---|---|
ArrayList | - Resizable array implementation. Fast random access (via index), slower insertions and deletions in the middle of the list. |
LinkedList | - Doubly linked list implementation. Provides better performance for insertions and deletions compared to ArrayList , but slower random access. |
Vector | - Synchronized version of ArrayList . It’s thread-safe but has higher overhead due to synchronization. |
Stack | - A subclass of Vector , represents a LIFO (Last-In-First-Out) stack of elements. |
Example:
List<String> arrayList = new ArrayList<>();
List<String> linkedList = new LinkedList<>();
2. Set Implementations
Set is a collection that does not allow duplicate elements. It models the mathematical set abstraction.
Key Implementations:
Implementation | Description |
---|---|
HashSet | - Implements a set backed by a hash table. Does not maintain insertion order. Allows null . |
LinkedHashSet | - Extends HashSet but maintains insertion order. |
TreeSet | - Implements a sorted set backed by a TreeMap . Maintains elements in natural order or according to a custom comparator. |
Example:
Set<String> hashSet = new HashSet<>();
Set<String> treeSet = new TreeSet<>();
3. Queue Implementations
Queue is designed for holding elements prior to processing, typically in a FIFO (First-In-First-Out) manner.
Key Implementations:
Implementation | Description |
---|---|
LinkedList | - Implements both List and Queue . Common implementation of Queue with FIFO behavior. |
PriorityQueue | - An implementation that orders elements according to their natural ordering or by a provided comparator. |
ArrayDeque | - Resizable array implementation of a double-ended queue (Deque ). Provides better performance than LinkedList . |
Example:
Queue<String> linkedListQueue = new LinkedList<>();
Queue<Integer> priorityQueue = new PriorityQueue<>();
Deque<String> arrayDeque = new ArrayDeque<>();
4. Map Implementations
Map is a collection that maps keys to values. Duplicate keys are not allowed, but duplicate values are allowed.
Key Implementations:
Implementation | Description |
---|---|
HashMap | - A hash table implementation. Allows null values and null keys. Does not maintain any order. |
LinkedHashMap | - Extends HashMap but maintains insertion order or access order. |
TreeMap | - Implements a sorted map, where the keys are sorted in natural order or using a custom comparator. |
Hashtable | - A synchronized, legacy implementation of a map. Does not allow null keys or values. |
ConcurrentHashMap | - Thread-safe implementation for high-concurrency scenarios. Allows retrievals without locking the map. |
Example:
Map<String, Integer> hashMap = new HashMap<>();
Map<String, Integer> treeMap = new TreeMap<>();
Map<String, Integer> linkedHashMap = new LinkedHashMap<>();
5. Deque Implementations
Deque (Double-Ended Queue) is a queue that allows insertion and removal of elements at both ends.
Key Implementations:
Implementation | Description |
---|---|
ArrayDeque | - Resizable-array implementation of the Deque interface. Does not allow null elements. |
LinkedList | - Also implements the Deque interface. Provides better performance for frequent add/remove operations at both ends. |
Example:
Deque<String> arrayDeque = new ArrayDeque<>();
Deque<String> linkedListDeque = new LinkedList<>();
6. SortedSet Implementations
SortedSet is a specialized Set
that maintains elements in a sorted order.
Key Implementations:
Implementation | Description |
---|---|
TreeSet | - A NavigableSet implementation based on a TreeMap . It stores elements in a sorted (natural or custom) order. |
Example:
SortedSet<Integer> sortedSet = new TreeSet<>();
7. SortedMap Implementations
SortedMap is a specialized Map
that maintains keys in a sorted order.
Key Implementations:
Implementation | Description |
---|---|
TreeMap | - A NavigableMap implementation based on a red-black tree. It stores keys in a sorted (natural or custom) order. |
Example:
SortedMap<String, Integer> sortedMap = new TreeMap<>();
Comparison of Key Implementations
Interface | Implementation | Characteristics | Use Cases |
---|---|---|---|
List | ArrayList |
Fast random access, slower insertion/deletion in middle. | General-purpose dynamic arrays. |
LinkedList |
Better for insertions/deletions, slower random access. | When frequent insertions/removals are needed. | |
Set | HashSet |
No duplicates, no order, allows null . |
Fast set operations, uniqueness enforcement. |
LinkedHashSet |
Maintains insertion order. | When both uniqueness and insertion order matter. | |
TreeSet |
Sorted order, slower than HashSet . |
Need sorted elements with unique values. | |
Map | HashMap |
Fast lookup, no order, allows null . |
General-purpose key-value pairs. |
LinkedHashMap |
Maintains insertion/access order. | When order of entries is important. | |
TreeMap |
Keys sorted in natural or custom order. | Need sorted key-value pairs. | |
Queue | PriorityQueue |
Elements sorted by priority. | Need priority-based processing. |
ArrayDeque |
Double-ended queue, better performance than LinkedList . |
For both stack and queue use cases. | |
Deque | ArrayDeque |
Double-ended, resizable array implementation. | Efficient operations at both ends. |
Summary:
-
ArrayList
: For fast access and frequent reads. -
LinkedList
: For fast insertions/deletions at any position. -
HashSet
: For fast, unordered set operations. -
TreeSet
: For sorted sets. -
HashMap
: For fast key-value lookups with no ordering. -
TreeMap
: For sorted maps. -
PriorityQueue
: For priority-based processing. -
ArrayDeque
: For efficient queue and stack operations.
Choosing the right implementation depends on specific performance and ordering requirements.
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