最初的目标是同时使用磁盘和内存缓存。这将需要实现LRU缓存和DiskLruCache。但是，由于HTTPResponse缓存使用磁盘空间，所以我选择使用LRU缓存并执行con.setUseCaches(true);
问题是我不太了解首先要实现的内容。
对于LRU和DiskLru缓存，这是算法:
即
首先检查图像的内存缓存
如果有图像，将其返回并更新缓存
否则检查磁盘缓存
如果磁盘缓存中有映像，则将其返回并更新缓存
否则从互联网下载图像，返回并更新缓存
现在使用以下代码:
public class DownloadImageTask extends AsyncTask<String, Void, Bitmap> {
private int inSampleSize = 0;
private String imageUrl;
private BaseAdapter adapter;
private ImagesCache cache;
private int desiredWidth, desiredHeight;
private Bitmap image = null;
private ImageView ivImageView;
Context mContext;
public DownloadImageTask(BaseAdapter adapter, int desiredWidth, int desiredHeight) {
this.adapter = adapter;
this.cache = ImagesCache.getInstance();
this.desiredWidth = desiredWidth;
this.desiredHeight = desiredHeight;
}
public DownloadImageTask(Context mContext, ImagesCache cache, ImageView ivImageView, int desireWidth, int desireHeight) {
this.cache = cache;
this.ivImageView = ivImageView;
this.desiredHeight = desireHeight;
this.desiredWidth = desireWidth;
this.mContext = mContext;
}
@Override
protected Bitmap doInBackground(String... params) {
imageUrl = params[0];
return getImage(imageUrl);
}
@Override
protected void onPostExecute(Bitmap result) {
super.onPostExecute(result);
if (result != null) {
cache.addImageToWarehouse(imageUrl, result);
if (ivImageView != null) {
ivImageView.setImageBitmap(result);
}
else {
}
if (adapter != null) {
adapter.notifyDataSetChanged();
}
}
/*
* IMPORTANT:
* This enables your retrieval from the cache when working offline
*/
/***
* Force buffered operations to the filesystem. This ensures that responses
* written to the cache will be available the next time the cache is opened,
* even if this process is killed.
*/
HttpResponseCache cache = HttpResponseCache.getInstalled();
if(cache != null) {
//the number of HTTP requests issued since this cache was created.
Log.e("total num HTTP requests", String.valueOf(cache.getHitCount()));
//the number of those requests that required network use.
Log.e("num req network", String.valueOf(cache.getNetworkCount()));
//the number of those requests whose responses were served by the cache.
Log.e("num use cache", String.valueOf(cache.getHitCount()));
// If cache is present, flush it to the filesystem.
// Will be used when activity starts again.
cache.flush();
/***
* Uninstalls the cache and releases any active resources. Stored contents
* will remain on the filesystem.
*/
//UNCOMMENTING THIS PRODUCES A java.lang.IllegalStateException: cache is closedtry {
// cache.close();
//}
//catch(IOException e){
// e.printStackTrace();
//}
}
}
private Bitmap getImage(String imageUrl) {
if (cache.getImageFromWarehouse(imageUrl) == null) {
BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
options.inSampleSize = inSampleSize;
//installing the cache at application startup.
try {
HttpResponseCache cache = HttpResponseCache.getInstalled();
if (cache == null) {
File httpCacheDir = new File(mContext.getCacheDir(), "http");
long HTTP_CACHE_SIZE_IN_BYTES = 1024 * 1024 * 1024; // 1GB
HttpResponseCache.install(httpCacheDir, HTTP_CACHE_SIZE_IN_BYTES);
//Log.e("Max DiskLRUCache Size", String.valueOf(DiskLruCache.getMaxSize());
}
}
catch (IOException e) {
e.printStackTrace();
}
try {
int readTimeout = 300000;
int connectTimeout = 300000;
URL url = new URL(imageUrl);
HttpURLConnection connection = (HttpURLConnection) url.openConnection();
connection.setUseCaches(true);
connection.addRequestProperty("Cache-Control", "max-stale=" + maxStale);
connection.setConnectTimeout(connectTimeout);
connection.setReadTimeout(readTimeout);
InputStream stream = connection.getInputStream();
image = BitmapFactory.decodeStream(stream, null, options);
int imageWidth = options.outWidth;
int imageHeight = options.outHeight;
if (imageWidth > desiredWidth || imageHeight > desiredHeight) {
System.out.println("imageWidth:" + imageWidth + ", imageHeight:" + imageHeight);
inSampleSize = inSampleSize + 2;
getImage(imageUrl);
}
else {
options.inJustDecodeBounds = false;
connection = (HttpURLConnection) url.openConnection();
connection.setUseCaches(true);
connection.addRequestProperty("Cache-Control", "only-if-cached");
connection.setConnectTimeout(connectTimeout);
connection.setReadTimeout(readTimeout);
stream = connection.getInputStream();
image = BitmapFactory.decodeStream(stream, null, options);
return image;
}
}
catch (Exception e) {
Log.e("getImage", e.toString());
}
}
return image;
}
}
好像在doInBackground()中，我将保存到HttpResponseCache中，在onPostExecute()中，我将同一图像保存到LRUCache中。我想做的是:
如果未缓存图像，请将其保存到HttpResponseCache
如果HttpResponseCache已满，请保存到LRUCache。
如果两者都已满，请使用默认的删除机制删除旧的未使用的映像。
问题是同时保存到两个缓存中
编辑说明问题
**
既然两者都缓存同一图像两次，然后将缓存保存到同一文件系统，那么问题可能应该是使用哪一个，因为似乎没有必要同时使用两者...
**
最佳答案
如果有人想重用以上任何代码，我将只使用http响应缓存而不使用LRU缓存，因为特别是如果您正在缓存Web服务响应，例如JSON，xml。为什么？
由于上述LRU缓存的实现，我曾经丢失了200MB的设备存储空间。
HTTPResponseCache的优点:
重用，节省时间和带宽
HttpResponseCache
另一方面:
尽管LRUCache具有优于DiskLRUCache的优点:
这就是结论。