Java手动实现Redis的LRU缓存机制代码示例

本篇文章小编给大家分享一下Java手动实现Redis的LRU缓存机制代码示例，文章代码介绍的很详细，小编觉得挺不错的，现在分享给大家供大家参考，有需要的小伙伴们可以来看看。

第一种实现(使用LinkedHashMap)

public class LRUCache {

    int capacity;
    Map map;

    public LRUCache(int capacity){
        this.capacity = capacity;
        map = new LinkedHashMap<>();
    }

    public int get(int key){
        //如果没有找到
        if (!map.containsKey(key)){
            return -1;
        }
        //找到了就刷新数据
        Integer value = map.remove(key);
        map.put(key,value);
        return value;
    }

    public void put(int key,int value){
        if (map.containsKey(key)){
            map.remove(key);
            map.put(key,value);
            return;
        }
        map.put(key,value);
        //超出capacity，删除最久没用的即第一个,或者可以复写removeEldestEntry方法
        if (map.size() > capacity){
            map.remove(map.entrySet().iterator().next().getKey());
        }
    }

    public static void main(String[] args) {
        LRUCache lruCache = new LRUCache(10);
        for (int i = 0; i < 10; i++) {
            lruCache.map.put(i,i);
            System.out.println(lruCache.map.size());
        }
        System.out.println(lruCache.map);
        lruCache.put(10,200);
        System.out.println(lruCache.map);
    }

第二种实现(双链表+hashmap)

public class LRUCache {

    private int capacity;
    private Mapmap;
    private ListNode head;
    private ListNode tail;

    public LRUCache2(int capacity){
        this.capacity = capacity;
        map = new HashMap<>();
        head = new ListNode(-1,-1);
        tail = new ListNode(-1,-1);
        head.next = tail;
        tail.pre = head;
    }

    public int get(int key){
        if (!map.containsKey(key)){
            return -1;
        }
        ListNode node = map.get(key);
        node.pre.next = node.next;
        node.next.pre = node.pre;
        return node.val;
    }

    public void put(int key,int value){
        if (get(key)!=-1){
            map.get(key).val = value;
            return;
        }
        ListNode node = new ListNode(key,value);
        map.put(key,node);
        moveToTail(node);

        if (map.size() > capacity){
            map.remove(head.next.key);
            head.next = head.next.next;
            head.next.pre = head;
        }
    }

    //把节点移动到尾巴
    private void moveToTail(ListNode node) {
        node.pre = tail.pre;
        tail.pre = node;
        node.pre.next = node;
        node.next = tail;
    }

    //定义双向链表节点
    private class ListNode{
        int key;
        int val;
        ListNode pre;
        ListNode next;

        //初始化双向链表
        public ListNode(int key,int val){
            this.key = key;
            this.val = val;
            pre = null;
            next = null;
        }
    }
}

补充

像第一种方式，如果复写removeEldestEntry会更简单，这里简单的展示一下

public class LRUCache extends LinkedHashMap {


    private int capacity;
    
    @Override
    protected boolean removeEldestEntry(Map.Entry eldest) {
        return size() > capacity;
    }
}