用Java写一个分布式缓存——缓存管理

1|0前言

之前也用过一些缓存中间件，框架，也想着自己是不是也能用Java写一个出来，于是就有了这个想法，打算在写的过程中同步进行总结

源码：weloe/Java-Distributed-Cache (github.com)

本篇代码：

Java-Distributed-Cache/src/main/java/com/weloe/cache/cachemanager at master · weloe/Java-Distributed-Cache (github.com)

Java-Distributed-Cache/src/test/java/com/weloe/cache/cachemanager at master · weloe/Java-Distributed-Cache (github.com)

上篇：
https://www.cnblogs.com/weloe/p/17050512.html

2|0思路

既然是分布式缓存，那么就一定会有缓存管理方面的问题，既然是要储存的数据，那么就不能让它无限制的存储，就需要设置临界值，这个也是需要缓存淘汰的原因。

而为了对缓存方便管理，比如，我们需要缓存的有多个功能，我们为了方便区分，可能就需要在key前加上功能前缀，这样不仅变得麻烦，同时由于key变大，也会增加内存的压力。

所以我们就需要把缓存分组进行管理，并提供一些方便的对外接口

3|0实现

3|1CacheObj

Java-Distributed-Cache/CacheObj.java at master · weloe/Java-Distributed-Cache (github.com)

在前篇缓存淘汰中，我们确定了我们真正存储数据的是一个k,v结构，因此，我们需要抽象出这里的k,v，k选择String，而v则抽象出一个CacheObj。

需要注意的是，这里的endTime是该缓存到期的时间，一般而言，我们都有为目标缓存设定缓存时间的需求，这也是缓存淘汰策略中的一种。实际存储为byte[]则是为了通用性。

public class CacheObj {

    private LocalDateTime endTime;

    private Class clazz;

    private int byteSize;

    // 存储的实际数据
    private byte[] data;

    public CacheObj() {
    }

    public CacheObj(LocalDateTime endTime,Class clazz ,int byteSize, byte[] data) {
        this.endTime = endTime;
        this.clazz = clazz;
        this.byteSize = byteSize;
        this.data = data;
    }

    public int getByteSize() {
        return byteSize;
    }

    public byte[] getData() {
        return data;
    }


    public void setEndTime(LocalDateTime endTime) {
        this.endTime = endTime;
    }

    public LocalDateTime getEndTime() {
        return endTime;
    }

    public void setClazz(Class clazz) {
        this.clazz = clazz;
    }
}

3|2Cache

Java-Distributed-Cache/Cache.java at master · weloe/Java-Distributed-Cache (github.com)

有组管理，也就需要单一的缓存管理

public class Cache {
    // 最大字节
    private int maxByteSize;

    // 目前使用字节
    private int normalByteSize;

    // 缓存策略
    private CacheStrategy<String, CacheObj> cacheStrategy;

    Lock readLock;

    Lock writeLock;

    public Cache(int maxByteSize, CacheStrategy<String, CacheObj> cacheStrategy) {
        this.maxByteSize = maxByteSize;
        this.normalByteSize = 0;
        this.cacheStrategy = cacheStrategy;
        readLock = new ReentrantReadWriteLock().readLock();
        writeLock = new ReentrantReadWriteLock().writeLock();
    }

    public CacheObj add(String key, CacheObj cacheObj) {
        writeLock.lock();

        normalByteSize += cacheObj.getByteSize();

        // 缓存上限
        while (normalByteSize > maxByteSize) {
            // 淘汰缓存
            CacheObj outCache = cacheStrategy.outCache();
            normalByteSize -= outCache.getByteSize();
        }

        // 加入缓存
        CacheObj v = cacheStrategy.put(key, cacheObj);

        writeLock.unlock();

        return v;
    }

    public CacheObj get(String key) {
        readLock.lock();

        CacheObj v = cacheStrategy.get(key);
        // 判断是否过期
        if (v != null && v.getEndTime() != null && LocalDateTime.now().isAfter(v.getEndTime())) {
            CacheObj obj = cacheStrategy.outCache(key);
            return null;
        }

        readLock.unlock();
        return v;
    }

    public CacheObj remove(String key){
        return cacheStrategy.outCache(key);
    }

    public void clear(){
        cacheStrategy.clear();
    }

    public void setMaxByteSize(int maxByteSize) {
        this.maxByteSize = maxByteSize;
    }

    public int getMaxByteSize() {
        return maxByteSize;
    }

    public int getNormalByteSize() {
        return normalByteSize;
    }

}

3|3Group

Java-Distributed-Cache/Group.java at master · weloe/Java-Distributed-Cache (github.com)

既然需要组管理，那么就需要抽象出一个Group类型，这里的getter是需要后期自定义的回调函数。

public class Group {

    private String name;

    private Cache cache;

    private Getter getter;

    @FunctionalInterface
    interface Getter {
        byte[] get(String k) throws Exception;
    }

1|0put,get

为了方便管理，Group需要提供get，put法

	public CacheObj get(String key) {
        if ("".equals(key) || key == null) {
            throw new RuntimeException("key不能为空");
        }

        CacheObj cacheObj = cache.get(key);

        if (cacheObj != null) {
            return cacheObj;
        }

        return load(key);
    }

    /**
     * 通过Getter回调获取数据
     *
     * @param key
     * @return
     */
    private CacheObj load(String key) {
        byte[] bytes = null;
        try {
            bytes = getter.get(key);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }

        if (bytes == null) {
            return null;
        }
        CacheObj cacheObj = BytesUtil.bytes2CacheObj(bytes);

        cache.add(key, cacheObj);

        return cacheObj;
    }

    public CacheObj putCacheObj(String key,CacheObj cacheObj){
        CacheObj obj = cache.add(key, cacheObj);
        return obj;
    }

1|0expire

为存储的数据设定存储时间的方法

    public CacheObj expire(String key, long num, ChronoUnit timeUnit){
        CacheObj cacheObj;
        try {
            cacheObj = cache.get(key);
            cacheObj.setEndTime(LocalDateTime.now().plus(num, timeUnit));
        } catch (Exception e) {
            return null;
        }
        return cacheObj;
    }

1|0setSize

设置缓存临界值的方法

    public boolean setMaxSize(int num){
        if(num < cache.getNormalByteSize()){
            return false;
        }
        cache.setMaxByteSize(num);
        return true;
    }

1|0delete,clear

清除组缓存的方法，从这里也可以看出其方便性，即可以清除单一功能(组)的缓存

    public CacheObj delete(String key){
        CacheObj obj = cache.remove(key);
        return obj;
    }

    public void clear(){
        cache.clear();
    }

3|4GroupManager

Java-Distributed-Cache/GroupManager.java at master · weloe/Java-Distributed-Cache (github.com)

既然有Group，就需要管理Group，也就需要相对应的put,get方法

public class GroupManager {

    private Map<String, Group> groupMap;


    public GroupManager(Map<String, Group> groupMap) {
        this.groupMap = groupMap;
    }


    public Group getGroup(String key) {
        Group group = groupMap.get(key);
        return group;
    }

    public Group put(Group group){
        return groupMap.put(group.getName(),group);
    }


}

4|0测试

4|1CacheTest

Java-Distributed-Cache/CacheTest.java at master · weloe/Java-Distributed-Cache (github.com)

class CacheTest {
    Cache cache;

    @BeforeEach
    void setUp() {

        CacheStrategy<String, CacheObj> lruCache = new LRUCache<>(5);
        lruCache.setCallback((s1, s2)-> System.out.println("缓存淘汰"));
        cache = new Cache(1024*1024,lruCache);
    }

    @Test
    void add() {
        String s = "123";
        CacheObj cacheObj = new CacheObj(LocalDateTime.MAX, String.class, 512*1024, s.getBytes(StandardCharsets.UTF_8));
        cache.add("test", cacheObj);

        for (int i = 0; i < 5; i++) {
            cache.add("test"+i,cacheObj);
            
        }

    }

    @Test
    void get() {
        CacheObj cacheObj = cache.get("123");
        Assertions.assertNull(cacheObj);

        String s = "123";

        cacheObj = new CacheObj(LocalDateTime.MAX,String.class, s.getBytes(StandardCharsets.UTF_8).length, s.getBytes(StandardCharsets.UTF_8));
        cache.add("test", cacheObj);

        CacheObj test = cache.get("test");
        Assertions.assertNotNull(test);

        byte[] data = test.getData();
        String s1 = BytesUtil.bytes2String(data);

        System.out.println(s1);

    }

}

4|2GroupTest

Java-Distributed-Cache/GroupTest.java at master · weloe/Java-Distributed-Cache (github.com)

package com.weloe.cache.cachemanager;

import com.weloe.cache.outstrategy.CacheStrategy;
import com.weloe.cache.outstrategy.LRUCache;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;

import java.nio.charset.StandardCharsets;
import java.time.temporal.ChronoUnit;
import java.util.concurrent.TimeUnit;

class GroupTest {
    Group group;

    @BeforeEach
    void setUp() {

        CacheStrategy<String, CacheObj> lruCache = new LRUCache<>(5);
        lruCache.setCallback((s1, s2)-> System.out.println("缓存淘汰"));

        group = new Group("group1", new Cache(1024*1024,lruCache), str -> {
            System.out.println("group1回调");
            return new byte[0];
        });


    }

    @Test
    void get() {
        group.putCacheObj("1",new CacheObj());
        CacheObj cacheObj = group.get("1");
    }

    @Test
    void getName() {
        String name = group.getName();
        System.out.println(name);
    }

    @Test
    void putCacheObj() {
        String x = "132";
        group.putCacheObj("cache1",new CacheObj(null,String.class,x.getBytes(StandardCharsets.UTF_8).length,x.getBytes(StandardCharsets.UTF_8)));
    }

    @Test
    void expire() {
        String x = "132";
        group.putCacheObj("cache1",new CacheObj(null,String.class,x.getBytes(StandardCharsets.UTF_8).length,x.getBytes(StandardCharsets.UTF_8)));
        CacheObj cache1 = group.expire("cache1", 2, ChronoUnit.MINUTES);
        System.out.println(cache1.getEndTime());
        System.out.println(group.get("cache1").getEndTime());
        Assertions.assertSame(cache1.getEndTime(),group.get("cache1").getEndTime());
    }
}

4|3GroupManagerTest

Java-Distributed-Cache/GroupManagerTest.java at master · weloe/Java-Distributed-Cache (github.com)

package com.weloe.cache.cachemanager;

import com.weloe.cache.outstrategy.LRUCache;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;

import java.util.HashMap;
import java.util.concurrent.locks.ReentrantLock;

class GroupManagerTest {
    GroupManager groupManager;

    @BeforeEach
    void setUp() {
        Group group1 = new Group("group1",
                new Cache(1024*1024, new LRUCache<>(5,(s1, s2)-> System.out.println("group1缓存淘汰"))),
                str -> {System.out.println("group1未获取缓存的回调");return new byte[0];}
        );
        Group group2 = new Group("group2",
                new Cache(1024*1024, new LRUCache<>(5,(s1, s2)-> System.out.println("group2缓存淘汰"))),
                str -> {System.out.println("group2未获取缓存的回调");return new byte[0];}
        );

        groupManager = new GroupManager(new HashMap<>(),new ReentrantLock());
        groupManager.put(group1);
        groupManager.put(group2);


    }

    @Test
    void getGroup() {

        System.out.println(groupManager.getGroup(""));
        System.out.println(groupManager.getGroup("group1"));
        System.out.println(groupManager.getGroup("group2").getName());

    }

    @Test
    void put() {
        Group group3 = new Group("group3",
                new Cache(1024*1024, new LRUCache<>(5,(s1, s2)-> System.out.println("group3缓存淘汰"))),
                str -> {System.out.println("group3未获取缓存的回调");return new byte[0];}
        );
        groupManager.put(group3);
        System.out.println(groupManager.getGroup("group3").getName());
    }
}

__EOF__

本文作者：秋玻
本文链接：https://www.cnblogs.com/weloe/p/17068891.html
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