LruCache之LruCache分析

以你之姓@ 2022-05-30 08:46 139阅读 0赞

转[LruCache之LruCache分析][LruCache_LruCache]

# LruCache 分析 #

LruCache 是 Android 的一个内部类，提供了基于内存实现的缓存

用法

//获取系统分配给每个应用程序的最大内存，每个应用系统分配32M 
 int maxMemory = (int) Runtime.getRuntime().maxMemory(); 
 int mCacheSize = maxMemory / 8; 
 //给LruCache分配1/8 4M 
 mMemoryCache = new LruCache<String, Bitmap>(mCacheSize){ 
 
 //必须重写此方法，来测量Bitmap的大小 
 @Override 
 protected int sizeOf(String key, Bitmap value) { 
 return value.getRowBytes() * value.getHeight(); 
 } 
 
 };

## 源码 ##

LRUCache 的源码不是很长，我们从上到下逐个分析，先看官方对这个类的注释（注释往往很有用）

### 注释 ###

/**
 * BEGIN LAYOUTLIB CHANGE
 * This is a custom version that doesn't use the non standard LinkedHashMap#eldest.
 * END LAYOUTLIB CHANGE
 *
 * 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.
 *
 * If your cached values hold resources that need to be explicitly released,
 * override {
 @link #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.
 *
 * 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:
 * <pre> {
 @code
 * 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();
 * }
 * }}</pre>
 *
 * This class is thread-safe. Perform multiple cache operations atomically by
 * synchronizing on the cache: <pre> {
 @code
 * synchronized (cache) {
 * if (cache.get(key) == null) {
 * cache.put(key, value);
 * }
 * }}</pre>
 *
 * 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.
 *
 * This class appeared in Android 3.1 (Honeycomb MR1); it's available as part
 * of <a href="http://developer.android.com/sdk/compatibility-library.html">Android's
 * Support Package</a> for earlier releases.
 */

注释比较长，不过提供了几个关键信息

*  说明了 LRU 的工作原理，最近使用的会放进队列的头部，最久未使用的放进队列的尾部，会首先删除队尾元素
 *  如果你 cache 的某个值需要明确释放，重写 entryRemoved 方法
 *  如果 key 相对应的 item 丢掉，重写create()，这简化了调用代码，即使丢失了也总会返回。
 *  默认的，我们需要重写 sizeOf 方法
 *  该类是线程安全的
 *  该类不允许空值和空 key
 *  该类出现在 Android 3.1系统及其以后，但是会向下兼容

下面看其定义的变量

### 变量 ###

private final LinkedHashMap<K, V> map;// 以 LinkedHashMap 进行存储
 
 /** Size of this cache in units. Not necessarily the number of elements. */
 private int size;// 当前大小
 private int maxSize;// 最大容量
 
 private int putCount;// put次数
 private int createCount;// 创建次数
 private int evictionCount;// 回收次数
 private int hitCount;// 命中次数
 private int missCount;// 未命中次数

再看构造方法

### 构造方法 ###

/**
 * @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) {
 // 必须大于 0 ，看上面的用发就知道了
 throw new IllegalArgumentException("maxSize <= 0");
 }
 this.maxSize = maxSize;
 this.map = new LinkedHashMap<K, V>(0, 0.75f, true);// 将LinkedHashMap的accessOrder 设置为 true 来实现 LRU
 }

构造方法没啥好说的，主要就是 将 LinkedHashMap 的 accessOrder 设置为 true 来实现 LRU，利用访问顺序而不是插入顺序。

接下来是 resize 方法

### resize() ###

/**
 * 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);
 }

重新计算缓存的大小，里面涉及到了 trimToSize 方法。另外，注意 synchronized

### trimToSize() ###

/**
 * @param maxSize the maximum size of the cache before returning. May be -1
 * to evict even 0-sized elements.
 */
 private void trimToSize(int maxSize) {
 while (true) {
 // 死循环
 K key;
 V value;
 synchronized (this) {
 // 线程安全 
 if (size < 0 || (map.isEmpty() && size != 0)) {
 throw new IllegalStateException(getClass().getName()
 + ".sizeOf() is reporting inconsistent results!");
 }
 
 if (size <= maxSize) {
 break;
 }
 
 // BEGIN LAYOUTLIB CHANGE
 // get the last item in the linked list.
 // This is not efficient, the goal here is to minimize the changes
 // compared to the platform version.
 Map.Entry<K, V> toEvict = null;
 for (Map.Entry<K, V> entry : map.entrySet()) {
 toEvict = entry;
 }
 // END LAYOUTLIB CHANGE
 
 if (toEvict == null) {
 break;
 }
 
 key = toEvict.getKey();
 value = toEvict.getValue();
 map.remove(key);
 size -= safeSizeOf(key, value);
 evictionCount++;
 }
 
 entryRemoved(true, key, value, null);
 }
 }

该方法根据 maxSize 来调整内存 cache 的大小，如果 maxSize 传入 -1，则清空缓存中的所有对象。该源码可知，该内部是一个死循环，靠满足相应的条件达到退出的目的

*  条件1，当当前大小 size 小于 最大容量时，退出
 *  当需要删除的 entry 为空时，会退出。这里 请看 LAYOUTLIB CHANGE 之间的代码，这里好像删除的是 Map 的队尾元素，但是，我们知道针对 LinkedHashMap ，队尾则是最新使用的元素，这里把最新的删掉了，和原意相违背。注释里面讲解到：`This is not efficient, the goal here is to minimize the changes compared to the platform version.`

上面的代码是 Android API 22 Platform 里面的

而在 Android API 23 Platform 里面新代码改变了

Map.Entry<K, V> toEvict = map.eldest();

这里可以看出，是取的最久未使用的，将最久未使用的删除了。（谷歌的工程师也在不断的调整）

里面涉及到 safeSizeOf 方法

### safeSizeOf() ###

private int safeSizeOf(K key, V value) {
 int result = sizeOf(key, value);
 if (result < 0) {
 throw new IllegalStateException("Negative size: " + key + "=" + value);
 }
 return result;
 }

里面涉及到了我们需要复写的方法 sizeOf

最后调用 entryRemoved 方法

### entryRemoved() ###

/**
 * 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.
 *
 * 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) {}

该方法是空方法，看注释可知：当 item 被回收或者删掉时调用。该方法当 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。

每次回收对象就调用该函数，这里参数为 true --为释放空间被删除；false --get、put 或 remove 导致。前面类注释可知，需要用户考量进行重写

接下来看 get 方法

### get() ###

/**
 * 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.
 */
 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++;// 未命中
 }
 
 /*
 * 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;
 }
 // 接下来是如果用户重写了create方法后，可能会执行到
 synchronized (this) {
 createCount++;// 创建数增加 
 mapValue = map.put(key, createdValue);// 将刚刚创建的值放入map中，返回的值是在map中与key相对应的旧值（就是在放入new value前的old value） 
 // 如果有人实现了create方法，需要注意create方法的注释
 /**
 * 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.
 *
 * 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.
 */
 // 涉及到了多线程会造成冲突的问题
 if (mapValue != null) {
 // There was a conflict so undo that last put
 map.put(key, mapValue);// 如果之前位置上已经有元素了，就还把原来的放回去，等于size没变 
 } else {
 size += safeSizeOf(key, createdValue);// 如果之前的位置上没有元素，说明createdValue是新加上去的，所以要加上createdValue的size 
 }
 }
 /* 
 * 刚刚如果检测到旧值，因为最后旧值还是在map中，但是中途被回收了，所以还是要通知别人这个对象被回收过。 
 * 所以就调用了entryRemoved
 */ 
 if (mapValue != null) {
 entryRemoved(false, key, createdValue, mapValue);
 return mapValue;
 } else {
 /* 
 * 如果刚刚没有检测到旧值，将新值放入map。 
 * 那么需要重新检测是否size是否超出了maxSize，所以就调用了trimToSize,并返回新值 
 */ 
 trimToSize(maxSize);
 return createdValue;
 }
 }

开头注释说明：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。

这里面涉及到了 create 方法

### create() ###

/**
 * 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.
 *
 * 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;
 }

create 函数是根据 key 来创建相应的 item，但是在 LruCache 中默认返回的是null。因为 LruCache 未记录被回收的数据，这里读者可以重写该 create 函数，为 key 创建相应的 item，这里是需要读者自行设计。请注意，多线程会导致冲突

下面看一下 put 方法

### put() ###

/**
     * 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++;// put次数增加
            size += safeSizeOf(key, value);// 计算size
            previous = map.put(key, value);// 这里其实是放到了队尾
            if (previous != null) {
          // 不为空，说明之前有数据，所以要把size减去
                size -= safeSizeOf(key, previous);
            }
        }
    
        if (previous != null) {
            entryRemoved(false, key, previous, value);
        }
    
        trimToSize(maxSize);
        return previous;
    }

接下来看看 remove 方法

### remove() ###

/**
     * 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);// 删除key，并返回旧值  
            if (previous != null) {
                size -= safeSizeOf(key, previous);// 如果旧值不为空，则为size减去其旧值大小  
            }
        }
    
        if (previous != null) {
            entryRemoved(false, key, previous, null);
        }
    
        return previous;
    }

最后看看其他方法

### 其他方法 ###

/**
 * 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.
 */
 public final void evictAll() {
 trimToSize(-1); // -1 will evict 0-sized elements 清除map中全部的数据 
 }
 
 /**
 * 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);// 返回当前缓存中所有的条目集合
 }
 
 @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);
 }

看相关注释，不难理解

## 总结 ##

*  LruCache 封装了 LinkedHashMap，提供了 LRU 缓存的功能；
 *  LruCache 通过 trimToSize 方法自动删除最近最少访问的键值对；
 *  LruCache 不允许空键值；
 *  LruCache 线程安全；
 *  LruCache 的源码在不同版本中不一样，需要区分
 *  继承 LruCache 时，必须要复写 sizeOf 方法，用于计算每个条目的大小。

## 参考链接 ##

[LruCache 源码解析][LruCache]

[Android中LruCache的源码分析][Android_LruCache]

[Android LruCache源码详解][Android LruCache]

作者：Hello\_Google  
链接：https://www.jianshu.com/p/4aaf93a67fc3  
來源：简书  
著作权归作者所有。商业转载请联系作者获得授权，非商业转载请注明出处。

[LruCache_LruCache]: https://www.jianshu.com/p/4aaf93a67fc3
[LruCache]: https://link.jianshu.com?t=https://github.com/LittleFriendsGroup/AndroidSdkSourceAnalysis/blob/master/article/LruCache%E6%BA%90%E7%A0%81%E8%A7%A3%E6%9E%90.md
[Android_LruCache]: https://link.jianshu.com?t=http://blog.csdn.net/lintcgirl/article/details/47777321
[Android LruCache]: https://link.jianshu.com?t=http://blog.csdn.net/abcdef314159/article/details/51190661