LRU是Least Recently Used 的縮寫,翻譯過來就是“最近最少使用”,LRU快取就是使用這種原理實現,簡單的說就是緩存一定量的數據,當超過設定的閾值時就把一些過期的資料刪除掉。
例如我們快取10000條數據,當數據小於10000時可以隨意添加,當超過10000時就需要把新的數據添加進來,同時要把過期數據刪除,以確保我們最大緩存10000條,那要怎麼確定刪除哪一條過期資料呢,採用LRU演算法實現的話就是將最老的資料刪掉。
下面來說下Java版的LRU快取實作:(建議:java影片教學)
Java裡面實作LRU快取通常有兩種選擇,一種是使用LinkedHashMap,一種是自己設計資料結構,使用鍊錶HashMap
LRU Cache的LinkedHashMap實作
LinkedHashMap本身已經實現了順序存儲,預設是按照元素的添加順序存儲,也可以啟用按照訪問順序存儲,即最近讀取的數據放在最前面,最早讀取的數據放在最後面,然後它還有一個判斷是否刪除最舊數據的方法,預設是回傳false,即不刪除資料。
我們使用LinkedHashMap實作LRU快取的方法就是對LinkedHashMap實作簡單的擴展,擴展方式有兩種,一種是inheritance,一種是delegation。
//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快取LinkedHashMap(inheritance)實作
採用inheritance方式實作比較簡單,而且實作了Map接口,在多執行緒環境使用時可以使用 Collections.synchronizedMap()方法實現線程安全操作
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(); } }
這樣算是比較標準的實現吧,實際使用中這樣寫還是有些繁瑣,更實用的方法時像下面這樣寫,省去了單獨見一個類別的麻煩
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快取LinkedHashMap(delegation)實作
delegation方式實作更優雅一些,但是由於沒有實作Map接口,所以執行緒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的鍊錶HashMap實作
## 注:此實作為非執行緒安全,若在多執行緒環境下使用需要在相關方法上新增synchronized以實作執行緒安全操作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實作
FIFO是First Input First Output的縮寫,也就是常說的先入先出,預設情況下LinkedHashMap就是按照添加順序保存,我們只需重寫一下removeEldestEntry方法即可輕鬆實現一個FIFO緩存,簡化版的實現代碼如下final int cacheSize = 5; LinkedHashMap<Integer, String> lru = new LinkedHashMap<Integer, String>() { @Override protected boolean removeEldestEntry(Map.Entry<Integer, String> eldest) { return size() > cacheSize; } };
呼叫範例
測試程式碼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(); } }運行結果
"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更多java知識請關注
java基礎教學專欄。
以上是java中LRU快取實現的詳細內容。更多資訊請關注PHP中文網其他相關文章!