java LRU(Least Recently Used )詳解及實例代碼
java LRU(Least Recently Used )詳解
LRU是Least Recently Used 的縮寫,翻譯過來就是“最近最少使用”,LRU緩存就是使用這種原理實現(xiàn),簡單的說就是緩存一定量的數(shù)據(jù),當超過設(shè)定的閾值時就把一些過期的數(shù)據(jù)刪除掉,比如我們緩存10000條數(shù)據(jù),當數(shù)據(jù)小于10000時可以隨意添加,當超過10000時就需要把新的數(shù)據(jù)添加進來,同時要把過期數(shù)據(jù)刪除,以確保我們最大緩存10000條,那怎么確定刪除哪條過期數(shù)據(jù)呢,采用LRU算法實現(xiàn)的話就是將最老的數(shù)據(jù)刪掉,廢話不多說,下面來說下Java版的LRU緩存實現(xiàn)
Java里面實現(xiàn)LRU緩存通常有兩種選擇,一種是使用LinkedHashMap,一種是自己設(shè)計數(shù)據(jù)結(jié)構(gòu),使用鏈表+HashMap
LRU Cache的LinkedHashMap實現(xiàn)
LinkedHashMap自身已經(jīng)實現(xiàn)了順序存儲,默認情況下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(shù)據(jù)放在最前面,最早讀取的數(shù)據(jù)放在最后面,然后它還有一個判斷是否刪除最老數(shù)據(jù)的方法,默認是返回false,即不刪除數(shù)據(jù),我們使用LinkedHashMap實現(xiàn)LRU緩存的方法就是對LinkedHashMap實現(xiàn)簡單的擴展,擴展方式有兩種,一種是inheritance,一種是delegation,具體使用什么方式看個人喜好
//LinkedHashMap的一個構(gòu)造函數(shù),當參數(shù)accessOrder為true時,即會按照訪問順序排序,最近訪問的放在最前,最早訪問的放在后面 public LinkedHashMap(int initialCapacity, float loadFactor, boolean accessOrder) { super(initialCapacity, loadFactor); this.accessOrder = accessOrder; } //LinkedHashMap自帶的判斷是否刪除最老的元素方法,默認返回false,即不刪除老數(shù)據(jù) //我們要做的就是重寫這個方法,當滿足一定條件時刪除老數(shù)據(jù) protected boolean removeEldestEntry(Map.Entry<K,V> eldest) { return false; }
LRU緩存LinkedHashMap(inheritance)實現(xiàn)
采用inheritance方式實現(xiàn)比較簡單,而且實現(xiàn)了Map接口,在多線程環(huán)境使用時可以使用 Collections.synchronizedMap()方法實現(xiàn)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(xiàn)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緩存LinkedHashMap(delegation)實現(xiàn)
delegation方式實現(xiàn)更加優(yōu)雅一些,但是由于沒有實現(xiàn)Map接口,所以線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; //根據(jù)cacheSize和加載因子計算hashmap的capactiy,+1確保當達到cacheSize上限時不會觸發(fā)hashmap的擴容, 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的鏈表+HashMap實現(xiàn)
注:此實現(xiàn)為非線程安全,若在多線程環(huán)境下使用需要在相關(guān)方法上添加synchronized以實現(xiàn)線程安全操作
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實現(xiàn)
FIFO是First Input First Output的縮寫,也就是常說的先入先出,默認情況下LinkedHashMap就是按照添加順序保存,我們只需重寫下removeEldestEntry方法即可輕松實現(xiàn)一個FIFO緩存,簡化版的實現(xiàn)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; } };
調(diào)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 鏈表實現(xiàn)==========================="); 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)實現(xiàn)==========================="); 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)實現(xiàn)==========================="); 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默認實現(xiàn)==========================="); 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(jié)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 鏈表實現(xiàn)=========================== 5:11 4:11 3:11 2:11 1:11 4:11 7:77 2:11 6:66 5:11 ===========================LRU LinkedHashMap(inheritance)實現(xiàn)=========================== 1:11 2:11 3:11 4:11 5:11 5:11 6:66 2:11 7:77 4:11 ===========================LRU LinkedHashMap(delegation)實現(xiàn)=========================== 1:11 2:11 3:11 4:11 5:11 5:11 6:66 2:11 7:77 4:11 ===========================FIFO LinkedHashMap默認實現(xiàn)=========================== {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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