package android.util; import java.util.LinkedHashMap; import java.util.Map; Cache保存一个强引用来限制内容数量,每当Item被访问的时候,此Item就会移动到队列的头部。 * 当cache已满的时候加入新的item时,在队列尾部的item会被回收。 如果你cache的某个值需要明确释放,重写entryRemoved() 如果key相对应的item丢掉啦,重写create().这简化了调用代码,即使丢失了也总会返回。 默认cache大小是测量的item的数量,重写sizeof计算不同item的 * 大小。 * 不允许key或者value为null * 当get(),put(),remove()返回值为null时,key相应的项不在cache中 public class LruCache<K, V> { private final LinkedHashMap<K, V> map; private int size; //已经存储的大小 private int maxSize; //规定的最大存储空间 private int putCount; //put的次数 private int createCount; //create的次数 private int evictionCount; //回收的次数 private int hitCount; //命中的次数 private int missCount; //丢失的次数 public LruCache(int maxSize) { if (maxSize <= 0) { throw new IllegalArgumentException("maxSize <= 0"); } this.maxSize = maxSize; this.map = new LinkedHashMap<K, V>(0, 0.75f, true); } 通过key返回相应的item,或者创建返回相应的item。相应的item会移动到队列的头部, * 如果item的value没有被cache或者不能被创建,则返回null。 public final V get(K key) { if (key == null) { throw new NullPointerException("key == null"); } V mapValue; synchronized (this) { mapValue = map.get(key); if (mapValue != null) { hitCount++; //命中 return mapValue; } missCount++; //丢失 } V createdValue = create(key); if (createdValue == null) { return null; } synchronized (this) { createCount++;//创建++ mapValue = map.put(key, createdValue); if (mapValue != null) { //
map.put(key, mapValue); } else { size += safeSizeOf(key, createdValue); } } if (mapValue != null) { entryRemoved(false, key, createdValue, mapValue); return mapValue; } else { trimToSize(maxSize); return createdValue; } } public final V put(K key, V value) { if (key == null || value == null) { throw new NullPointerException("key == null || value == null"); } V previous; synchronized (this) { putCount++; size += safeSizeOf(key, value); previous = map.put(key, value); if (previous != null) { //返回的先前的value值 size -= safeSizeOf(key, previous); } } if (previous != null) { entryRemoved(false, key, previous, value); } trimToSize(maxSize); return previous; } * 清空cache空间 private void trimToSize(int maxSize) { while (true) { K key; V value; synchronized (this) { if (size < 0 || (map.isEmpty() && size != 0)) { throw new IllegalStateException(getClass().getName() + ".sizeOf() is reporting inconsistent results!"); } if (size <= maxSize) { break; } Map.Entry<K, V> toEvict = map.eldest(); if (toEvict == null) { break; } key = toEvict.getKey(); value = toEvict.getValue(); map.remove(key); size -= safeSizeOf(key, value); evictionCount++; } entryRemoved(true, key, value, null); } } 删除key相应的cache项,返回相应的value public final V remove(K key) { if (key == null) { throw new NullPointerException("key == null"); } V previous; synchronized (this) { previous = map.remove(key); if (previous != null) { size -= safeSizeOf(key, previous); } } if (previous != null) { entryRemoved(false, key, previous, null); } return previous; } 当item被回收或者删掉时调用。改方法当value被回收释放存储空间时被remove调用, * 或者替换item值时put调用,默认实现什么都没做。 * true---为释放空间被删除;false---put或remove导致 protected void entryRemoved(boolean evicted, K key, V oldValue, V newValue) {} 当某Item丢失时会调用到,返回计算的相应的value或者null protected V create(K key) { return null; } private int safeSizeOf(K key, V value) { int result = sizeOf(key, value); if (result < 0) { throw new IllegalStateException("Negative size: " + key + "=" + value); } return result; } 返回用户定义的item的大小,默认返回1代表item的数量,最大size就是最大item值 protected int sizeOf(K key, V value) { return 1; } * 清空cacke public final void evictAll() { trimToSize(-1); } public synchronized final int size() { return size; } public synchronized final int maxSize() { return maxSize; } public synchronized final int hitCount() { return hitCount; } public synchronized final int missCount() { return missCount; } public synchronized final int createCount() { return createCount; } public synchronized final int putCount() { return putCount; } * 返回被回收的数量 public synchronized final int evictionCount() { return evictionCount; } 返回当前cache的副本,从最近最少访问到最多访问 public synchronized final Map<K, V> snapshot() { return new LinkedHashMap<K, V>(map); } @Override public synchronized final String toString() { int accesses = hitCount + missCount; int hitPercent = accesses != 0 ? (100 * hitCount / accesses) : 0; return String.format("LruCache[maxSize=%d,hits=%d,misses=%d,hitRate=%d%%]", maxSize, hitCount, missCount, hitPercent); } }
转载于:https://www.cnblogs.com/dongdong230/archive/2013/05/18/4183146.html
相关资源:数据结构—成绩单生成器
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