内存缓存LruCache详解

前言

最近有用到LruCache,但是对其原理不太了解,所以看了源码,知道了一个大概,想总结一下!

介绍

现在大部分的缓存框架,比如图片加载框架,网络请求框架等都使用三级缓存来提高效率,即内存-文件(SD卡或手机)-网络。对于图片加载来说,就是加载图片的时候首先从内存缓存中取,如果没有再从文件缓存中取,如果文件缓存没有取到,就从网络下载图片并且加入内存和文件缓存。
LruCache是android提供的一个缓存工具类,其算法是最近最少使用算法(Least Recently Used)。它把最近使用的对象用“强引用”存储在LinkedHashMap中,并且把最近最少使用的对象在缓存值达到预设定值之前就从内存中移除。其在Android 3.1即API 12被引进,低版本可以用support包中的类。

源码分析

这是我在网上找的一篇文章,注释的很详细了!
Android提供的LruCache类简介

package android.util;  

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

/** 
 * A cache that holds strong references to a limited number of values. Each time 
 * a value is accessed, it is moved to the head of a queue. When a value is 
 * added to a full cache, the value at the end of that queue is evicted and may 
 * become eligible for garbage collection. 
 * 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。
 * 

If your cached values hold resources that need to be explicitly released, * override {@link #entryRemoved}. * 如果你cache的某个值需要明确释放,重写entryRemoved() *

If a cache miss should be computed on demand for the corresponding keys, * override {@link #create}. This simplifies the calling code, allowing it to * assume a value will always be returned, even when there's a cache miss. * 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。 *

By default, the cache size is measured in the number of entries. Override * {@link #sizeOf} to size the cache in different units. For example, this cache * is limited to 4MiB of bitmaps: 默认cache大小是测量的item的数量,重写sizeof计算不同item的 * 大小。 *

   {@code 
 *   int cacheSize = 4 * 1024 * 1024; // 4MiB 
 *   LruCache bitmapCache = new LruCache(cacheSize) { 
 *       protected int sizeOf(String key, Bitmap value) { 
 *           return value.getByteCount(); 
 *       } 
 *   }}
* *

This class is thread-safe. Perform multiple cache operations atomically by * synchronizing on the cache:

   {@code 
 *   synchronized (cache) { 
 *     if (cache.get(key) == null) { 
 *         cache.put(key, value); 
 *     } 
 *   }}
* *

This class does not allow null to be used as a key or value. A return * value of null from {@link #get}, {@link #put} or {@link #remove} is * unambiguous: the key was not in the cache. * 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 map; /** Size of this cache in units. Not necessarily the number of elements. */ 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 /** * @param maxSize for caches that do not override {@link #sizeOf}, this is * the maximum number of entries in the cache. For all other caches, * this is the maximum sum of the sizes of the entries in this cache. */ public LruCache(int maxSize) { if (maxSize <= 0) { throw new IllegalArgumentException("maxSize <= 0"); } this.maxSize = maxSize; this.map = new LinkedHashMap(0, 0.75f, true); } /** * Returns the value for {@code key} if it exists in the cache or can be * created by {@code #create}. If a value was returned, it is moved to the * head of the queue. This returns null if a value is not cached and cannot * be created. 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 } /* * Attempt to create a value. This may take a long time, and the map * may be different when create() returns. If a conflicting value was * added to the map while create() was working, we leave that value in * the map and release the created value. * 如果丢失了就试图创建一个item */ V createdValue = create(key); if (createdValue == null) { return null; } synchronized (this) { createCount++;//创建++ mapValue = map.put(key, createdValue); if (mapValue != null) { // There was a conflict so undo that last put //如果前面存在oldValue,那么撤销put() map.put(key, mapValue); } else { size += safeSizeOf(key, createdValue); } } if (mapValue != null) { entryRemoved(false, key, createdValue, mapValue); return mapValue; } else { trimToSize(maxSize); return createdValue; } } /** * Caches {@code value} for {@code key}. The value is moved to the head of * the queue. * * @return the previous value mapped by {@code key}. */ 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; } /** * @param maxSize the maximum size of the cache before returning. May be -1 * to evict even 0-sized elements. * 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 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); } } /** * Removes the entry for {@code key} if it exists. * 删除key相应的cache项,返回相应的value * @return the previous value mapped by {@code key}. */ 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; } /** * Called for entries that have been evicted or removed. This method is * invoked when a value is evicted to make space, removed by a call to * {@link #remove}, or replaced by a call to {@link #put}. The default * implementation does nothing. * 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。 *

The method is called without synchronization: other threads may * access the cache while this method is executing. * * @param evicted true if the entry is being removed to make space, false * if the removal was caused by a {@link #put} or {@link #remove}. * true---为释放空间被删除;false---put或remove导致 * @param newValue the new value for {@code key}, if it exists. If non-null, * this removal was caused by a {@link #put}. Otherwise it was caused by * an eviction or a {@link #remove}. */ protected void entryRemoved(boolean evicted, K key, V oldValue, V newValue) {} /** * Called after a cache miss to compute a value for the corresponding key. * Returns the computed value or null if no value can be computed. The * default implementation returns null. * 当某Item丢失时会调用到,返回计算的相应的value或者null *

The method is called without synchronization: other threads may * access the cache while this method is executing. * *

If a value for {@code key} exists in the cache when this method * returns, the created value will be released with {@link #entryRemoved} * and discarded. This can occur when multiple threads request the same key * at the same time (causing multiple values to be created), or when one * thread calls {@link #put} while another is creating a value for the same * key. */ 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; } /** * Returns the size of the entry for {@code key} and {@code value} in * user-defined units. The default implementation returns 1 so that size * is the number of entries and max size is the maximum number of entries. * 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 *

An entry's size must not change while it is in the cache. */ protected int sizeOf(K key, V value) { return 1; } /** * Clear the cache, calling {@link #entryRemoved} on each removed entry. * 清空cacke */ public final void evictAll() { trimToSize(-1); // -1 will evict 0-sized elements } /** * For caches that do not override {@link #sizeOf}, this returns the number * of entries in the cache. For all other caches, this returns the sum of * the sizes of the entries in this cache. */ public synchronized final int size() { return size; } /** * For caches that do not override {@link #sizeOf}, this returns the maximum * number of entries in the cache. For all other caches, this returns the * maximum sum of the sizes of the entries in this cache. */ public synchronized final int maxSize() { return maxSize; } /** * Returns the number of times {@link #get} returned a value that was * already present in the cache. */ public synchronized final int hitCount() { return hitCount; } /** * Returns the number of times {@link #get} returned null or required a new * value to be created. */ public synchronized final int missCount() { return missCount; } /** * Returns the number of times {@link #create(Object)} returned a value. */ public synchronized final int createCount() { return createCount; } /** * Returns the number of times {@link #put} was called. */ public synchronized final int putCount() { return putCount; } /** * Returns the number of values that have been evicted. * 返回被回收的数量 */ public synchronized final int evictionCount() { return evictionCount; } /** * Returns a copy of the current contents of the cache, ordered from least * recently accessed to most recently accessed. 返回当前cache的副本,从最近最少访问到最多访问 */ public synchronized final Map snapshot() { return new LinkedHashMap(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); } }

LinkedHashMap分析

关于LinkedHashMap的分析,可以参考下面一篇文章:
理解LinkedHashMap

参考文章

详细解读LruCache类

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