Runtime Complexity of Java Collections

gistfile1.java

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

Amazing thank you so much ~!

Thank you for this great chart!

Thanks! source?

Thank you

Awesome! Great reference, but its missing Stack.

So LinkedList under List Interface uses Linked List data structure. But LinkedList under Queue interface uses Array? How??

@ChiragBagla

ArrayDequeue spelled wrong. Should be ArrayDeque. And Data Structure for ArrayDeque is array.

HashMap should be log(n) if worst case

Thanks!
What about constructors?
They are not always as added.

I think you switched data structures for LinkedList and ArrayDeque

This is beautiful. Good job and thank you.

I think you switched data structures for LinkedList and ArrayDeque

@pszeliga I second you

In Queue section LinkedList isnt an Array and ArrayDequeue based on cycled array

Thank You

In case of O(h / n) may i know the 'h' value and what does it stands for.

LinkedList remove is only O(1) if you use its iterator. standard remove(Object) is O(n)

In case of O(h / n) may i know the 'h' value and what does it stands for.

h stands for the current capacity of the hash collection.

@psayre23 could you explain or anybody why there is no put/add operation for map in table above?

Simply amazing. Thank you.

It really helps me to prepare for my CS exam! Thank you!!

For Queue, the 2nd column head would be "peek" instead of "peak"

Thank you bro

Very useful! Thanks!