基于LinkedHashMap的线程安全化LRU Cache缓存

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
 
/**
 * @description Thread safe lru cache cache based on LinkedHashMap
 * @date 2020/11/2 11:15
 */
public class LRUCache<K, V> extends LinkedHashMap<K, V> {
    private static final long serialVersionUID = -4407809689385629881L;
 
    private int maxCapacity;
 
    private static final float DEFAULT_LOAD_FACTOR = 0.75f;
 
    private static final int INITIAL_CAPACITY = 16;
 
    private final Lock lock = new ReentrantLock();
 
    public LRUCache(int maxCapacity) {
        this(maxCapacity, INITIAL_CAPACITY, DEFAULT_LOAD_FACTOR, true);
    }
 
    private LRUCache(int maxCapacity, int initialCapacity, float loadFactor, boolean accessOrder) {
        super(initialCapacity, loadFactor, accessOrder);
        this.maxCapacity = maxCapacity;
    }
 
    @Override
    public V get(Object key) {
        lock.lock();
        try {
            return super.get(key);
        } finally {
            lock.unlock();
        }
    }
 
    @Override
    public V put(K key, V value) {
        lock.lock();
        try {
            return super.put(key, value);
        } finally {
            lock.unlock();
        }
    }
 
    @Override
    public V remove(Object key) {
        lock.lock();
        try {
            return super.remove(key);
        } finally {
            lock.unlock();
        }
    }
 
    @Override
    protected boolean removeEldestEntry(Map.Entry<K, V> eldest) {
        return size() > maxCapacity;
    }
}

  

posted @   屠城校尉杜  阅读(947)  评论(0编辑  收藏  举报
编辑推荐:
· 开发者必知的日志记录最佳实践
· SQL Server 2025 AI相关能力初探
· Linux系列:如何用 C#调用 C方法造成内存泄露
· AI与.NET技术实操系列(二):开始使用ML.NET
· 记一次.NET内存居高不下排查解决与启示
阅读排行:
· Manus重磅发布:全球首款通用AI代理技术深度解析与实战指南
· 被坑几百块钱后,我竟然真的恢复了删除的微信聊天记录!
· 没有Manus邀请码?试试免邀请码的MGX或者开源的OpenManus吧
· 园子的第一款AI主题卫衣上架——"HELLO! HOW CAN I ASSIST YOU TODAY
· 【自荐】一款简洁、开源的在线白板工具 Drawnix
点击右上角即可分享
微信分享提示