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Runtime Complexity of Java Collections

Below are the Big O performance of common functions of different Java Collections.

List Add Remove Get Contains Next Data Structure
ArrayList O(1) O(n) O(1) O(n) O(1) Array
LinkedList O(1) O(1) O(n) O(n) O(1) Linked List
CopyOnWriteArrayList O(n) O(n) O(1) O(n) O(1) Array
Set Add Remove Contains Next Size Data Structure
HashSet O(1) O(1) O(1) O(h/n) O(1) Hash Table
LinkedHashSet O(1) O(1) O(1) O(1) O(1) Hash Table + Linked List
EnumSet O(1) O(1) O(1) O(1) O(1) Bit Vector
TreeSet O(log n) O(log n) O(log n) O(log n) O(1) Red-black tree
CopyOnWriteArraySet O(n) O(n) O(n) O(1) O(1) Array
ConcurrentSkipListSet O(log n) O(log n) O(log n) O(1) O(n) Skip List
Queue Offer Peak Poll Remove Size Data Structure
PriorityQueue O(log n) O(1) O(log n) O(n) O(1) Priority Heap
LinkedList O(1) O(1) O(1) O(1) O(1) Array
ArrayDequeue O(1) O(1) O(1) O(n) O(1) Linked List
ConcurrentLinkedQueue O(1) O(1) O(1) O(n) O(n) Linked List
ArrayBlockingQueue O(1) O(1) O(1) O(n) O(1) Array
PriorirityBlockingQueue O(log n) O(1) O(log n) O(n) O(1) Priority Heap
SynchronousQueue O(1) O(1) O(1) O(n) O(1) None!
DelayQueue O(log n) O(1) O(log n) O(n) O(1) Priority Heap
LinkedBlockingQueue O(1) O(1) O(1) O(n) O(1) Linked List
Map Get ContainsKey Next Data Structure
HashMap O(1) O(1) O(h / n) Hash Table
LinkedHashMap O(1) O(1) O(1) Hash Table + Linked List
IdentityHashMap O(1) O(1) O(h / n) Array
WeakHashMap O(1) O(1) O(h / n) Hash Table
EnumMap O(1) O(1) O(1) Array
TreeMap O(log n) O(log n) O(log n) Red-black tree
ConcurrentHashMap O(1) O(1) O(h / n) Hash Tables
ConcurrentSkipListMap O(log n) O(log n) O(1) Skip List
@cedricvidal
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Also available as a colored Google Sheet

@Preposterone
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Thanks for the google sheet link, unfortunately it is not available to clone it for personal use, please, edit permission, if possible, thanks!

@cedricvidal
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@Preposterone
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Thank you!

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