如果你还在因为大量不同size的图片缓存产生的OOM而烦恼,如果你还在因为用软引用(SoftReference)快速回收的蛋疼用户体验而不知所措,那么我建议无论你是高手还是菜鸟,真的很有必要看一下这篇文章,希望能从中给你一些启发,给你的产品用户带去一些好的体验。
思维的火花
既然我们要提供用户的体验,既然我们摒弃了软应用,那么我这里才用的是使用LRU的缓存机制来达到我们的目的。在android
3.1以上我们可以使用LruCache类,但如果在低一些的版本我们则只要把源代码copy出来放进工程就ok了。但是,仅仅把LruCache的代码copy出来只是完成了我们实现这里图片缓存方案的准备工作。
精心的构建
1.LruCache
package XXXl;
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.
*
* <p>If your cached values hold resources that need to be explicitly released,
* override {@link #entryRemoved}.
*
* <p>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.
*
* <p>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>
*
* <p>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>
*
* <p>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.
*/
/**
* Static library version of {@code android.util.LruCache}. Used to write apps
* that run on API levels prior to 12. When running on API level 12 or above,
* this implementation is still used; it does not try to switch to the
* framework's implementation. See the framework SDK documentation for a class
* overview.
*/
public class LruCache<K, V> {
private LogUtils mLog = LogUtils.getLog(LruCache.class);
private final LinkedHashMap<K, V> map;
/** Size of this cache in units. Not necessarily the number of elements. */
private int size;
private int maxSize;
private int putCount;
private int createCount;
private int evictionCount;
private int hitCount;
private int missCount;
/**
* @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);
}
/**
* 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++;
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.
*/
V createdValue = create(key);
if (createdValue == null) {
return null;
}
synchronized (this) {
createCount++;
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) {
throw new NullPointerException("key == null || value == null");
}
V previous;
synchronized (this) {
putCount++;
size += safeSizeOf(key, value);
previous = map.put(key, value);
if (previous != null) {
size -= safeSizeOf(key, previous);
}
}
if (previous != null) {
entryRemoved(false, key, previous, value);
}
mLog.debug("maxSize :" + maxSize);
mLog.debug("total size :" + size);
trimToSize(maxSize);
return previous;
}
/**
* @param maxSize the maximum size of the cache before returning. May be -1
* to evict even 0-sized elements.
*/
public 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 || map.isEmpty()) {
break;
}
Map.Entry<K, V> toEvict = map.entrySet().iterator().next();
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.
*
* @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.
*
* <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);
}
mLog.debug("size :" + result);
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.
*/
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.
*/
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);
}
} |
2.自定义ImageView
package XXX.view;
import java.io.FilterInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.lang.ref.SoftReference;
import java.util.HashMap;
import java.util.Map;
import java.util.WeakHashMap;
import java.util.concurrent.RejectedExecutionException;
import android.app.ActivityManager;
import android.content.Context;
import android.content.pm.PackageInfo;
import android.content.pm.PackageManager;
import android.content.pm.PackageManager.NameNotFoundException;
import android.graphics.Bitmap;
import android.graphics.BitmapFactory;
import android.graphics.BitmapFactory.Options;
import android.graphics.Canvas;
import android.graphics.drawable.BitmapDrawable;
import android.graphics.drawable.Drawable;
import android.os.AsyncTask;
import android.text.TextUtils;
import android.util.AttributeSet;
import android.widget.ImageView;
import ch.boye.httpclientandroidlib.HttpEntity;
import ch.boye.httpclientandroidlib.HttpResponse;
import ch.boye.httpclientandroidlib.HttpStatus;
import ch.boye.httpclientandroidlib.client.methods.HttpGet;
public class CacheImageView extends ImageView {
private static int mCacheSize;
private int mDefaultImage = 0;
private static Map<ImageView, String> mImageViews;
private static LruCache<String, Bitmap> mLruCache;
private static HashMap<Integer, SoftReference<Bitmap>> mResImage;
private Context mContext;
public CacheImageView (Context context, AttributeSet attrs, int defStyle) {
super(context, attrs, defStyle);
init(context);
}
public CacheImageView (Context context, AttributeSet attrs) {
super(context, attrs);
init(context);
}
public CacheImageView (Context context) {
super(context);
init(context);
}
private void init(Context context) {
if (mImageViews == null) {
mImageViews = new WeakHashMap<ImageView, String>();
}
if (mLruCache == null) {
final int memClass = ((ActivityManager)context
.getSystemService(Context.ACTIVITY_SERVICE)).getMemoryClass();
// Use 1/8th of the available memory for this memory cache.
mCacheSize = 1024 * 1024 * memClass / 8;
mLruCache = new LruCache<String, Bitmap>(mCacheSize) {
@Override
protected int sizeOf(String key, Bitmap bitmap) {
// The cache size will be measured in bytes rather than
// number of items.
return bitmap.getRowBytes() * bitmap.getHeight();
}
@Override
protected void entryRemoved(boolean evicted, String key, Bitmap oldValue,
Bitmap newValue) {
if (evicted && oldValue !=null && !oldValue.isRecycled()) {
oldValue.recycle();
oldValue = null;
}
}
};
}
if (mResImage == null) {
mResImage = new HashMap<Integer, SoftReference<Bitmap>>();
}
mContext = context;
}
@Override
protected void onDraw(Canvas canvas) {
BitmapDrawable drawable = (BitmapDrawable)getDrawable();
if (drawable == null ){
setImageBitmap(getLoadingBitmap(mContext));
} else {
if( drawable.getBitmap() == null || drawable.getBitmap().isRecycled()) {
setImageBitmap(getLoadingBitmap(mContext));
}
}
super.onDraw(canvas);
}
public void setImageUrl(String url, int resId) {
mDefaultImage = resId;
mImageViews.put(this, url);
Bitmap bitmap = getBitmapFromCache(url);
if (bitmap == null || bitmap.isRecycled()) {
setImageBitmap(getLoadingBitmap(mContext));
try {
new DownloadTask().execute(url);
} catch (RejectedExecutionException e) {
// do nothing, just keep not crash
}
} else {
setImageBitmap(bitmap);
}
}
private Bitmap getLoadingBitmap(Context context) {
SoftReference<Bitmap> loading = mResImage.get(mDefaultImage);
if (loading == null || loading.get() == null || loading.get().isRecycled()) {
loading = new SoftReference<Bitmap>(BitmapFactory.decodeResource(
context.getResources(), mDefaultImage));
mResImage.put(mDefaultImage, loading);
}
return loading.get();
}
private class DownloadTask extends AsyncTask<String, Void, Bitmap> {
private String mParams;
@Override
public Bitmap doInBackground(String... params) {
mParams = params[0];
Bitmap bm = null;
if (mParams.startsWith("http:") || mParams.startsWith("https:")) {// 网络列表icon
bm = download(mParams);
} else {
// other types of icons
}
addBitmapToCache(mParams, bm);
return bm;
}
@Override
public void onPostExecute(Bitmap bitmap) {
String tag = mImageViews.get(RemoteImageView.this);
if (!TextUtils.isEmpty(tag) && tag.equals(mParams)) {
if (bitmap != null) {
setImageBitmap(bitmap);
}
}
}
};
/*
* An InputStream that skips the exact number of bytes provided, unless it
* reaches EOF.
*/
static class FlushedInputStream extends FilterInputStream {
public FlushedInputStream(InputStream inputStream) {
super(inputStream);
}
@Override
public long skip(long n) throws IOException {
long totalBytesSkipped = 0L;
while (totalBytesSkipped < n) {
long bytesSkipped = in.skip(n - totalBytesSkipped);
if (bytesSkipped == 0L) {
int b = read();
if (b < 0) {
break; // we reached EOF
} else {
bytesSkipped = 1; // we read one byte
}
}
totalBytesSkipped += bytesSkipped;
}
return totalBytesSkipped;
}
}
private Bitmap download(String url) {
InputStream in = null;
HttpEntity entity = null;
Bitmap bmp = null;
try {
final HttpGet get = new HttpGet(url);
final HttpResponse response = HttpManager.execute(mContext, get);
if (response.getStatusLine().getStatusCode() == HttpStatus.SC_OK) {
entity = response.getEntity();
in = entity.getContent();
try {
bmp = getDecodeBitmap(in, url);
} catch (OutOfMemoryError err) {
Runtime.getRuntime().gc();
bmp = getDecodeBitmap(in, url);
}
} else {
get.abort();
return bmp;
}
} catch (Exception e) {
return bmp;
} finally {
IOUtils.closeStream(in);
}
return bmp;
}
private Bitmap getDecodeBitmap(InputStream in, String url) {
Options options = new Options();
options.inPurgeable = true;
options.inInputShareable = true;
return BitmapFactory.decodeStream(new FlushedInputStream(in), null, options);
}
public void addBitmapToCache(String url, Bitmap bitmap) {
if (bitmap != null) {
mLruCache.put(url, bitmap);
Runtime.getRuntime().gc();
}
}
/**
* @param url The URL of the image that will be retrieved from the cache.
* @return The cached bitmap or null if it was not found.
*/
public static Bitmap getBitmapFromCache(String url) {
return mLruCache.get(url);
}
public static void recycle() {
if (mImageViews != null && !mImageViews.isEmpty()) {
mImageViews.clear();
mImageViews = null;
}
if (mLruCache != null) {
mLruCache.evictAll();
mLruCache = null;
}
if (mResImage != null) {
for (SoftReference<Bitmap> reference : mResImage.values()) {
Bitmap bitmap = reference.get();
if (bitmap != null && !bitmap.isRecycled()) {
bitmap.recycle();
bitmap = null;
}
}
mResImage = null;
}
}
} |
这一步是实现LRU缓存方案的最关键一步,里面需要对几个地方做详细和认真的解释。
在初始化LruCache的时候我们有用到:
protected void entryRemoved(boolean evicted, String key, Bitmap oldValue,
Bitmap newValue) {
if (evicted && oldValue !=null && !oldValue.isRecycled()) {
oldValue.recycle();
oldValue = null;
}
} |
注意if里面的条件一共由3个(evicted && oldValue
!=null && !oldValue.isRecycled())组成一个都不能少,至于原因希望你们去思考。
另外调用addBitmapToCache方法我是在后台调用的,没有在主线程里面操作,原因是里面调用了Runtime.getRuntime().gc(),基本上每次GC的执行都要花去20~50ms如果是在列表里面的话,对ui应该有一定的影响。在此强调一下Runtime.getRuntime().gc()在每次加载图片之后最好调用他。这是一个小兄弟测试的结果,在android调用GC有助于虚拟机减少内存碎片和加速内存碎片的重整理。
下载图片建立连接我用了httpclient的连接池方式,如果你觉的麻烦你可以使用URLconnection,这里暂时不给出httpclient连接池框架的部分,如果你随时关注我的话,你可以从我后面的博客中看到关于它的话题。
3.如何使用
可能你的项目中有多个地方要用到图片,那么只要在你的xml中需要用到imageview的这样去定义(以listview的row举例):
<XXX.view.CacheImageView
android:id="@+id/icon"
android:layout_width="40dip"
android:layout_height="40dip"
android:layout_marginLeft="10dip" /> |
然后再你的adapter代码中只需要简单的两句:
holder.icon
= (CacheImageView)convertView.findViewById(R.id.icon);
holder.icon.setImageUrl(url, resId); |
完美的总结
该方案是尽量减少图片被回收的时间,但是并不是不被回收,所以需要一直展示给用户的情况不适合本方案。
对于某些国产机内存特小的那种,即使使用软引用都很容易挂的那种,建议不要再设置为内存的8分之一大小,而是获取到手机的UA(model),去硬编码一个大小吧。
本方案在这里只展示了基于内存的缓存方式,基于disk的部分代码,朋友们可以去实现,这里不再赘述。
可能本方案还有很多不足,欢迎大家提意见,我好不断完善。 |