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java - 结合使用 LRU 图像缓存和 HTTPResponseCache 进行磁盘和内存缓存

转载 作者:太空狗 更新时间:2023-10-29 13:53:38 26 4
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最初的目标是同时使用磁盘和内存缓存。这需要实现 LRU 缓存和 DiskLruCache。但是,由于 HTTPResponse 缓存使用磁盘空间,我选择使用 LRU 缓存并执行 con.setUseCaches(true);

问题是我不太明白先实现什么。对于 LRU 和 DiskLru 缓存,这是算法:

enter image description here

首先检查图像的内存缓存

如果有图片,返回它并更新缓存

否则检查磁盘缓存

如果磁盘缓存有图像,返回它并更新缓存

否则从互联网下载图像,返回它并更新缓存

现在使用下面的代码:

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;
}
}

似乎在 doInBackground() 中我将保存到 HttpResponseCache,而在 onPostExecute() 中我将相同的图像保存到 LRUCache。我想做的是:

如果图片没有被缓存,保存到HttpResponseCache如果 HttpResponseCache 已满,则保存到 LRUCache。如果两者都已满,请使用默认删除机制删除旧的未使用图像。问题是保存到两个缓存而不是任何一个

编辑重述问题

**

因为两者都缓存相同的图像,两次并将缓存保存到同一个文件系统,也许问题应该是使用哪个,因为似乎没有必要同时使用两者......

**

最佳答案

如果有人想重复使用上述任何代码,我只会使用 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?

由于上面的 LRU 缓存实现,我曾经丢失了 200MB 的设备存储空间。

HTTPResponseCache 的优点:

  • 将 HTTP 和 HTTPS 响应缓存到文件系统,以便它们可以重用,节省时间和带宽
  • HttpUrlConnection 的作用:自动处理缓存机制,
  • 在以下方面的帮助下加快应用程序的响应时间HttpResponseCache
  • 它从 API 级别 1 开始可用=> 它经受住了时间的考验并且很健壮

另一方面:

虽然 LRUCache 相对于 DiskLRUCache 有其优势:

  • 您必须实现该类(和其他辅助类),这意味着如果 android 开发人员的代码发生变化,您将不得不在您的应用程序中断后不断下载和编辑您的本地版本,而之前的实现将被弃用。
  • 删除图像后,您可能会发现您的磁盘空间仍在使用,因为图像将位于您设备中的某个位置(就像我的情况一样)。

结论就是...

关于java - 结合使用 LRU 图像缓存和 HTTPResponseCache 进行磁盘和内存缓存,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/42227456/

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