内存缓存(LruCache):
系统提供的LruCache类是非常适合用作缓存Bitmap任务的,
它将最近被引用到的对象存储在一个强引用的LinkedHashMap中,并且在缓存超过了指定大小之后将最近不常使用的对象释放掉。
注意:以前有一个非常流行的内存缓存实现是SoftReference(软引用)或者WeakReference(弱引用)的Bitmap缓存方案,
然而现在已经不推荐使用了。自Android2.3版本(API Level 9)开始,垃圾回收器更着重于对软/弱引用的回收,这使得上述的方案相当无效。
系统提供的LruCache类是非常适合用作缓存Bitmap任务的,
它将最近被引用到的对象存储在一个强引用的LinkedHashMap中,并且在缓存超过了指定大小之后将最近不常使用的对象释放掉。
注意:以前有一个非常流行的内存缓存实现是SoftReference(软引用)或者WeakReference(弱引用)的Bitmap缓存方案,
然而现在已经不推荐使用了。自Android2.3版本(API Level 9)开始,垃圾回收器更着重于对软/弱引用的回收,这使得上述的方案相当无效。
http://developer.android.com/reference/android/util/LruCache.html
/*
* Copyright (C) 2011 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
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。
* int cacheSize = 4 * 1024 * 1024; // 4MiB
* LruCache<String, Bitmap> bitmapCache = new LruCache<String, Bitmap>(cacheSize) {
* protected int sizeOf(String key, Bitmap value) {
* return value.getByteCount();
* }
* }}
* 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;
/** 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<K, V>(0, 0.75f, true); // LinkedHashMap的初始化放在构造器中,
//这里将LinkedHashMap的accessOrder设置为true,为插入顺序,默认是访问顺序
}
/**
* Sets the size of the cache.
* @param maxSize The new maximum size.
*
* @hide
*/
public void resize(int maxSize) {
if (maxSize <= 0) {
throw new IllegalArgumentException("maxSize <= 0");
}
synchronized (this) {
this.maxSize = maxSize;
}
trimToSize(maxSize);
}
/**
* 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) { //不允许空键
throw new NullPointerException("key == null");
}
V mapValue;
synchronized (this) {
mapValue = map.get(key);//调用LinkedHashMap的get方法
if (mapValue != null) {
hitCount++;
return mapValue;
}
missCount++;
}
/*
* 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++; //如果创建成功,那么create次数加1
mapValue = map.put(key, createdValue);
if (mapValue != null) {
// There was a conflict so undo that last 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) { //键值不允许为空
throw new NullPointerException("key == null || value == null");
}
V previous;
synchronized (this) {
putCount++;
size += safeSizeOf(key, value);//统计放入的值的大小,然后增加size的记录值
previous = map.put(key, value);//把新值放入缓存map中,然后获得旧值
if (previous != null) { //旧值不为空,由于替换了旧值,所以需要把缓存数据总大小减去这个旧值的大小
size -= safeSizeOf(key, previous);
}
}
//还要调用entryRemoved()方法来让子类去处理不用的旧值previous,可能按照自己的方式去释放它。
//当然了,子类也可以不实现这个方法。
if (previous != null) {
entryRemoved(false, key, previous, value);
}
trimToSize(maxSize);
return previous;
}
/**
* Remove the eldest entries until the total of remaining entries is at or
* below the requested size.
*
* @param maxSize the maximum size of the cache before returning. May be -1
* to evict even 0-sized elements.
把最少访问的老数据删除,直到总数据大小在上限的范围之内.
数据上限. 值可能是-1,这样就会删除所有的缓存数据.
*/
public void trimToSize(int maxSize) {
while (true) { //不断删除linkedHashMap头部entry,也就是最近最少访问的条目,直到size小于最大容量
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) { //直到容量小于最大容量为止
break;
}
Map.Entry<K, V> toEvict = map.eldest(); //获取最少访问的entry
if (toEvict == null) {
break;
}
key = toEvict.getKey();
value = toEvict.getValue();
map.remove(key);//删除最少访问的entry
size -= safeSizeOf(key, value);
evictionCount++;
}
entryRemoved(true, key, value, null);
}
}
/**
* Removes the entry for {@code key} if it exists.
*
* @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);//调用LinkedHashMap的remove方法
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.
*
* <p>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}.
* @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.
*
* <p>The method is called without synchronization: other threads may
* access the cache while this method is executing.
*
* <p>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.
*
* <p>An entry's size must not change while it is in the cache.
* 这个方法用于计算每个条目的大小,子类必须得复写这个类。
*/
protected int sizeOf(K key, V value) {
return 1;
}
/**
* Clear the cache, calling {@link #entryRemoved} on each removed entry.
*/
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.
*/
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.
*/
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);
}
}