Java Collection Framework 实现的 Big-O 复杂性如何影响性能？
- DDD原创
- 2024-10-31 05:18:31365浏览
Java 集合框架：Big-O 实现综合指南
在 Java 集合框架中，每个集合都有其独特的性能特征通过其底层数据结构。了解这些操作的 Big-O 复杂性可以指导数据结构的有效选择和优化。
列表实现
| Operation | ArrayList | LinkedList | CopyOnWrite-ArrayList |
|---|---|---|---|
| get | O(1) | O(n) | O(1) |
| add | O(1) | O(1) | O(n) |
| contains | O(n) | O(n) | O(n) |
| next | O(1) | O(1) | O(1) |
| remove(0) | O(n) | O(1) | O(n) |
| iterator.remove | O(n) | O(1) | O(n) |
集合实现
| Operation | HashSet | LinkedHashSet | CopyOnWriteArraySet | EnumSet | TreeSet | ConcurrentSkipListSet |
|---|---|---|---|---|---|---|
| add | O(1) | O(1) | O(n) | O(1) | O(log n) | O(log n) |
| contains | O(1) | O(1) | O(n) | O(1) | O(log n) | O(log n) |
| next | O(h/n) | O(1) | O(1) | O(1) | O(log n) | O(1) |
地图实现
| Operation | HashMap | LinkedHashMap | IdentityHashMap | EnumMap | TreeMap | ConcurrentHashMap | ConcurrentSkipListMap |
|---|---|---|---|---|---|---|---|
| get | O(1) | O(1) | O(1) | O(1) | O(log n) | O(1) | O(log n) |
| containsKey | O(1) | O(1) | O(1) | O(1) | O(log n) | O(1) | O(log n) |
| next | O(h/n) | O(1) | O(h/n) | O(1) | O(log n) | O(h/n) | O(1) |
队列实现
| Operation | PriorityQueue | ConcurrentLinkedQueue | ArrayBlockingQueue | LinkedBlockingQueue | PriorityBlockingQueue | DelayQueue | LinkedList | ArrayDeque | LinkedBlockingDeque |
|---|---|---|---|---|---|---|---|---|---|
| offer | O(log n) | O(1) | O(1) | O(1) | O(log n) | O(log n) | O(1) | O(1) | O(1) |
| peek | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) |
| poll | O(log n) | O(1) | O(1) | O(1) | O(log n) | O(log n) | O(1) | O(1) | O(1) |
| size | O(1) | O(n) | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) |
其他资源
- [Java 泛型和集合](https://www. apress.com/gp/book/9781430214919)
- [集合概述](https://docs.oracle.com/javase/8/docs/api/java/util/package-summary.html)
- [带注释的大纲](https://docs.oracle.com/javase/8/docs/api/java/util/package-tree.html)
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