发布于 2018-02-26 07:24:40 | 148 次阅读 | 评论: 0 | 来源: 网友投递

这里有新鲜出炉的Java设计模式,程序狗速度看过来!

Java程序设计语言

java 是一种可以撰写跨平台应用软件的面向对象的程序设计语言,是由Sun Microsystems公司于1995年5月推出的Java程序设计语言和Java平台(即JavaEE(j2ee), JavaME(j2me), JavaSE(j2se))的总称。


这篇文章主要介绍了java LRU(Least Recently Used )详解及实例代码的相关资料,Java里面实现LRU缓存通常有两种选择,一种是使用LinkedHashMap,一种是自己设计数据结构,使用链表+HashMap,需要的朋友可以参考下

java LRU(Least Recently Used )详解

LRU是Least Recently Used 的缩写,翻译过来就是“最近最少使用”,LRU缓存就是使用这种原理实现,简单的说就是缓存一定量的数据,当超过设定的阈值时就把一些过期的数据删除掉,比如我们缓存10000条数据,当数据小于10000时可以随意添加,当超过10000时就需要把新的数据添加进来,同时要把过期数据删除,以确保我们最大缓存10000条,那怎么确定删除哪条过期数据呢,采用LRU算法实现的话就是将最老的数据删掉,废话不多说,下面来说下Java版的LRU缓存实现

Java里面实现LRU缓存通常有两种选择,一种是使用LinkedHashMap,一种是自己设计数据结构,使用链表+HashMap

LRU Cache的LinkedHashMap实现

LinkedHashMap自身已经实现了顺序存储,默认情况下是按照元素的添加顺序存储,也可以启用按照访问顺序存储,即最近读取的数据放在最前面,最早读取的数据放在最后面,然后它还有一个判断是否删除最老数据的方法,默认是返回false,即不删除数据,我们使用LinkedHashMap实现LRU缓存的方法就是对LinkedHashMap实现简单的扩展,扩展方式有两种,一种是inheritance,一种是delegation,具体使用什么方式看个人喜好


//LinkedHashMap的一个构造函数,当参数accessOrder为true时,即会按照访问顺序排序,最近访问的放在最前,最早访问的放在后面
public LinkedHashMap(int initialCapacity, float loadFactor, boolean accessOrder) {
    super(initialCapacity, loadFactor);
    this.accessOrder = accessOrder;
}

//LinkedHashMap自带的判断是否删除最老的元素方法,默认返回false,即不删除老数据
//我们要做的就是重写这个方法,当满足一定条件时删除老数据
protected boolean removeEldestEntry(Map.Entry<K,V> eldest) {
    return false;
}

LRU缓存LinkedHashMap(inheritance)实现

采用inheritance方式实现比较简单,而且实现了Map接口,在多线程环境使用时可以使用 Collections.synchronizedMap()方法实现线程安全操作



package cn.lzrabbit.structure.lru;

import java.util.LinkedHashMap;
import java.util.Map;

/**
 * Created by liuzhao on 14-5-15.
 */
public class LRUCache2<K, V> extends LinkedHashMap<K, V> {
  private final int MAX_CACHE_SIZE;

  public LRUCache2(int cacheSize) {
    super((int) Math.ceil(cacheSize / 0.75) + 1, 0.75f, true);
    MAX_CACHE_SIZE = cacheSize;
  }

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

  @Override
  public String toString() {
    StringBuilder sb = new StringBuilder();
    for (Map.Entry<K, V> entry : entrySet()) {
      sb.append(String.format("%s:%s ", entry.getKey(), entry.getValue()));
    }
    return sb.toString();
  }
}

 这样算是比较标准的实现吧,实际使用中这样写还是有些繁琐,更实用的方法时像下面这样写,省去了单独见一个类的麻烦



final int cacheSize = 100;
Map<String, String> map = new LinkedHashMap<String, String>((int) Math.ceil(cacheSize / 0.75f) + 1, 0.75f, true) {
  @Override
  protected boolean removeEldestEntry(Map.Entry<String, String> eldest) {
  return size() > cacheSize;
  }
};

 LRU缓存LinkedHashMap(delegation)实现

delegation方式实现更加优雅一些,但是由于没有实现Map接口,所以线程同步就需要自己搞定了



package cn.lzrabbit.structure.lru;

import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Set;

/**
 * Created by liuzhao on 14-5-13.
 */
public class LRUCache3<K, V> {

  private final int MAX_CACHE_SIZE;
  private final float DEFAULT_LOAD_FACTOR = 0.75f;
  LinkedHashMap<K, V> map;

  public LRUCache3(int cacheSize) {
    MAX_CACHE_SIZE = cacheSize;
    //根据cacheSize和加载因子计算hashmap的capactiy,+1确保当达到cacheSize上限时不会触发hashmap的扩容,
    int capacity = (int) Math.ceil(MAX_CACHE_SIZE / DEFAULT_LOAD_FACTOR) + 1;
    map = new LinkedHashMap(capacity, DEFAULT_LOAD_FACTOR, true) {
      @Override
      protected boolean removeEldestEntry(Map.Entry eldest) {
        return size() > MAX_CACHE_SIZE;
      }
    };
  }

  public synchronized void put(K key, V value) {
    map.put(key, value);
  }

  public synchronized V get(K key) {
    return map.get(key);
  }

  public synchronized void remove(K key) {
    map.remove(key);
  }

  public synchronized Set<Map.Entry<K, V>> getAll() {
    return map.entrySet();
  }

  public synchronized int size() {
    return map.size();
  }

  public synchronized void clear() {
    map.clear();
  }

  @Override
  public String toString() {
    StringBuilder sb = new StringBuilder();
    for (Map.Entry entry : map.entrySet()) {
      sb.append(String.format("%s:%s ", entry.getKey(), entry.getValue()));
    }
    return sb.toString();
  }
}

 LRU Cache的链表+HashMap实现

 注:此实现为非线程安全,若在多线程环境下使用需要在相关方法上添加synchronized以实现线程安全操作



package cn.lzrabbit.structure.lru;


import java.util.HashMap;

/**
 * Created by liuzhao on 14-5-12.
 */
public class LRUCache1<K, V> {

  private final int MAX_CACHE_SIZE;
  private Entry first;
  private Entry last;

  private HashMap<K, Entry<K, V>> hashMap;

  public LRUCache1(int cacheSize) {
    MAX_CACHE_SIZE = cacheSize;
    hashMap = new HashMap<K, Entry<K, V>>();
  }

  public void put(K key, V value) {
    Entry entry = getEntry(key);
    if (entry == null) {
      if (hashMap.size() >= MAX_CACHE_SIZE) {
        hashMap.remove(last.key);
        removeLast();
      }
      entry = new Entry();
      entry.key = key;
    }
    entry.value = value;
    moveToFirst(entry);
    hashMap.put(key, entry);
  }

  public V get(K key) {
    Entry<K, V> entry = getEntry(key);
    if (entry == null) return null;
    moveToFirst(entry);
    return entry.value;
  }

  public void remove(K key) {
    Entry entry = getEntry(key);
    if (entry != null) {
      if (entry.pre != null) entry.pre.next = entry.next;
      if (entry.next != null) entry.next.pre = entry.pre;
      if (entry == first) first = entry.next;
      if (entry == last) last = entry.pre;
    }
    hashMap.remove(key);
  }

  private void moveToFirst(Entry entry) {
    if (entry == first) return;
    if (entry.pre != null) entry.pre.next = entry.next;
    if (entry.next != null) entry.next.pre = entry.pre;
    if (entry == last) last = last.pre;

    if (first == null || last == null) {
      first = last = entry;
      return;
    }

    entry.next = first;
    first.pre = entry;
    first = entry;
    entry.pre = null;
  }

  private void removeLast() {
    if (last != null) {
      last = last.pre;
      if (last == null) first = null;
      else last.next = null;
    }
  }


  private Entry<K, V> getEntry(K key) {
    return hashMap.get(key);
  }

  @Override
  public String toString() {
    StringBuilder sb = new StringBuilder();
    Entry entry = first;
    while (entry != null) {
      sb.append(String.format("%s:%s ", entry.key, entry.value));
      entry = entry.next;
    }
    return sb.toString();
  }

  class Entry<K, V> {
    public Entry pre;
    public Entry next;
    public K key;
    public V value;
  }
}

LinkedHashMap的FIFO实现

FIFO是First Input First Output的缩写,也就是常说的先入先出,默认情况下LinkedHashMap就是按照添加顺序保存,我们只需重写下removeEldestEntry方法即可轻松实现一个FIFO缓存,简化版的实现代码如下



final int cacheSize = 5;
LinkedHashMap<Integer, String> lru = new LinkedHashMap<Integer, String>() {
  @Override
  protected boolean removeEldestEntry(Map.Entry<Integer, String> eldest) {
  return size() > cacheSize;
  }
};

调用示例


package cn.lzrabbit.structure.lru;

import cn.lzrabbit.ITest;

import java.util.LinkedHashMap;
import java.util.Map;

/**
 * Created by liuzhao on 14-5-15.
 */
public class LRUCacheTest {

  public static void main(String[] args) throws Exception {
    System.out.println("start...");

    lruCache1();
    lruCache2();
    lruCache3();
    lruCache4();
   
    System.out.println("over...");
  }
 

 static  void lruCache1() {
    System.out.println();
    System.out.println("===========================LRU 链表实现===========================");
    LRUCache1<Integer, String> lru = new LRUCache1(5);
    lru.put(1, "11");
    lru.put(2, "11");
    lru.put(3, "11");
    lru.put(4, "11");
    lru.put(5, "11");
    System.out.println(lru.toString());
    lru.put(6, "66");
    lru.get(2);
    lru.put(7, "77");
    lru.get(4);
    System.out.println(lru.toString());
    System.out.println();
  }


static  <T> void lruCache2() {
    System.out.println();
    System.out.println("===========================LRU LinkedHashMap(inheritance)实现===========================");
    LRUCache2<Integer, String> lru = new LRUCache2(5);
    lru.put(1, "11");
    lru.put(2, "11");
    lru.put(3, "11");
    lru.put(4, "11");
    lru.put(5, "11");
    System.out.println(lru.toString());
    lru.put(6, "66");
    lru.get(2);
    lru.put(7, "77");
    lru.get(4);
    System.out.println(lru.toString());
    System.out.println();
  }

 static void lruCache3() {
    System.out.println();
    System.out.println("===========================LRU LinkedHashMap(delegation)实现===========================");
    LRUCache3<Integer, String> lru = new LRUCache3(5);
    lru.put(1, "11");
    lru.put(2, "11");
    lru.put(3, "11");
    lru.put(4, "11");
    lru.put(5, "11");
    System.out.println(lru.toString());
    lru.put(6, "66");
    lru.get(2);
    lru.put(7, "77");
    lru.get(4);
    System.out.println(lru.toString());
    System.out.println();
  }

 static void lruCache4() {
    System.out.println();
    System.out.println("===========================FIFO LinkedHashMap默认实现===========================");
    final int cacheSize = 5;
    LinkedHashMap<Integer, String> lru = new LinkedHashMap<Integer, String>() {
      @Override
      protected boolean removeEldestEntry(Map.Entry<Integer, String> eldest) {
        return size() > cacheSize;
      }
    };
    lru.put(1, "11");
    lru.put(2, "11");
    lru.put(3, "11");
    lru.put(4, "11");
    lru.put(5, "11");
    System.out.println(lru.toString());
    lru.put(6, "66");
    lru.get(2);
    lru.put(7, "77");
    lru.get(4);
    System.out.println(lru.toString());
    System.out.println();
  }

}

运行结果



"C:\Program Files (x86)\Java\jdk1.6.0_10\bin\java" -Didea.launcher.port=7535 "-Didea.launcher.bin.path=C:\Program Files (x86)\JetBrains\IntelliJ IDEA 13.0.2\bin" -Dfile.encoding=UTF-8 -classpath "C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\charsets.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\deploy.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\javaws.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\jce.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\jsse.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\management-agent.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\plugin.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\resources.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\rt.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\ext\dnsns.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\ext\localedata.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\ext\sunjce_provider.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\ext\sunmscapi.jar;C:\Program Files (x86)\Java\jdk1.6.0_10\jre\lib\ext\sunpkcs11.jar;D:\SVN\projects\Java\Java.Algorithm\target\test-classes;D:\SVN\projects\Java\Java.Algorithm\target\classes;C:\Program Files (x86)\JetBrains\IntelliJ IDEA 13.0.2\lib\idea_rt.jar" com.intellij.rt.execution.application.AppMain Main
start...

===========================LRU 链表实现===========================
5:11 4:11 3:11 2:11 1:11 
4:11 7:77 2:11 6:66 5:11 


===========================LRU LinkedHashMap(inheritance)实现===========================
1:11 2:11 3:11 4:11 5:11 
5:11 6:66 2:11 7:77 4:11 


===========================LRU LinkedHashMap(delegation)实现===========================
1:11 2:11 3:11 4:11 5:11 
5:11 6:66 2:11 7:77 4:11 


===========================FIFO LinkedHashMap默认实现===========================
{1=11, 2=11, 3=11, 4=11, 5=11}
{3=11, 4=11, 5=11, 6=66, 7=77}

over...

Process finished with exit code 0

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