LeetCode.146.LRU Cache 实现LRU缓存

题目描述

146 LRU Cache https://leetcode-cn.com/problems/lru-cache/

Design and implement a data structure for Least Recently Used (LRU) cache. It should support the following operations: get and put.

get(key) - Get the value (will always be positive) of the key if the key exists in the cache, otherwise return -1. put(key, value) - Set or insert the value if the key is not already present. When the cache reached its capacity, it should invalidate the least recently used item before inserting a new item.

The cache is initialized with a positive capacity.

Follow up: Could you do both operations in O(1) time complexity?

Example:

LRUCache cache = new LRUCache( 2 /* capacity */ );

cache.put(1, 1);
cache.put(2, 2);
cache.get(1);       // returns 1
cache.put(3, 3);    // evicts key 2
cache.get(2);       // returns -1 (not found)
cache.put(4, 4);    // evicts key 1
cache.get(1);       // returns -1 (not found)
cache.get(3);       // returns 3
cache.get(4);       // returns 4

解题过程

利用Java的LinkedHashMap有序哈希

Java 中，利用 LinkedHashMap 可实现 LRU 缓存，重写其 boolean removeEldestEntry(Map.Entry) ，当容量超过初始容量时返回true即可。 因为 LinkedHashMap 的 putVal() 最后一步 afterNodeInsertion 中当 removeEldestEntry() 返回 true 时会删除 first 结点，如果构造方法中设置了 accessOrder=true，first结点就是最早访问的结点。

get, put 时间复杂度 O(1)

private static class LRUCache extends LinkedHashMap<Integer, Integer> {
    private int capacity;

    public LRUCache(int capacity) {
        super(capacity, 0.75f, true);
        this.capacity = capacity;
    }

    public int get(int key) {
        return super.get(key) != null ? super.get(key) : -1;
    }

    public void put(int key, int value) {
        super.put(key, value);
    }

    // 重写 removeEldestEntry 当元素个数大于初始容量 capacity 时删除最长时间没访问的Entry
    @Override
    protected boolean removeEldestEntry(Map.Entry<Integer, Integer> eldest) {
        return size() > capacity;
    }
}

哈希表+双向链表手动实现

GitHub代码

algorithms/leetcode/leetcode/_146_LRUCache.java https://github.com/masikkk/algorithms/blob/master/leetcode/leetcode/_146_LRUCache.java