问题描述
我目前正在使用Picasso在多个回收站视图中的应用程序中下载和缓存图像.到目前为止,毕加索已使用了大约49MB的缓存大小,我担心随着越来越多的图像发挥作用,这个数字会变得更高.
I am currently using Picasso to download and cache images in my app inside multiple recycler views. So far Picasso has used around 49MB cache size and i am worried that as more images come into play, this will become much higher.
我正在使用默认的Picasso.with(context)
对象.请回答以下问题:
I am using the default Picasso.with(context)
object. Please answer the following:
1)有没有一种方法可以限制毕加索的缓存大小.不能将MemoryPolicy和NetworkPolicy设置为NO_CACHE.我需要缓存,但要达到一定级别(最大60MB)
1) Is there a way to restrict the Size of Picasso's cache. MemoryPolicy and NetworkPolicy set to NO_CACHE isn't an option. I need caching but upto a certain level (60MB max)
2)毕加索中是否有一种方法可以像Glide DiskCacheStrategy.RESULT那样存储调整大小/裁剪后的图像
2) Is there a way in picasso to store Resized/cropped images like in Glide DiskCacheStrategy.RESULT
3)如果该选项是使用OKHTTP,请引导我学习一个很好的教程,以使用它来限制Picasso的缓存大小. (毕加索2.5.2)
3) If the option is to use OKHTTP, please guide me to a good tutorial for using it to limit Picasso's cache size. (Picasso 2.5.2)
4)由于我使用的是毕加索的Gradle依赖项,因此如何添加一个清晰的Cache函数,如下所示:
4) Since i am using a Gradle dependency of Picasso, how can i add a clear Cache function as shown here:
推荐答案
请尝试使用此方法,它确实对我有用:
Please try this one, it does seem to work great for me:
我将其用作Singleton.只需将DISK/CACHE大小参数放在60处即可.
I use it as a Singleton.Just put 60 where DISK/CACHE size parameters are.
//Singleton Class for Picasso Downloading, Caching and Displaying Images Library
public class PicassoSingleton {
private static Picasso mInstance;
private static long mDiskCacheSize = CommonConsts.DISK_CACHE_SIZE * 1024 * 1024; //Disk Cache
private static int mMemoryCacheSize = CommonConsts.MEMORY_CACHE_SIZE * 1024 * 1024; //Memory Cache
private static OkHttpClient mOkHttpClient; //OK Http Client for downloading
private static Cache diskCache;
private static LruCache lruCache;
public static Picasso getSharedInstance(Context context) {
if (mInstance == null && context != null) {
//Create disk cache folder if does not exist
File cache = new File(context.getApplicationContext().getCacheDir(), "picasso_cache");
if (!cache.exists())
cache.mkdirs();
diskCache = new Cache(cache, mDiskCacheSize);
lruCache = new LruCache(mMemoryCacheSize);
//Create OK Http Client with retry enabled, timeout and disk cache
mOkHttpClient = new OkHttpClient();
mOkHttpClient.setConnectTimeout(CommonConsts.SECONDS_TO_OK_HTTP_TIME_OUT, TimeUnit.SECONDS);
mOkHttpClient.setRetryOnConnectionFailure(true);
mOkHttpClient.setCache(diskCache);
//For better performence in Memory use set memoryCache(Cache.NONE) in this builder (If needed)
mInstance = new Picasso.Builder(context).memoryCache(lruCache).
downloader(new OkHttpDownloader(mOkHttpClient)).
indicatorsEnabled(CommonConsts.SHOW_PICASSO_INDICATORS).build();
}
}
return mInstance;
}
public static void updatePicassoInstance() {
mInstance = null;
}
public static void clearCache() {
if(lruCache != null) {
lruCache.clear();
}
try {
if(diskCache != null) {
diskCache.evictAll();
}
} catch (IOException e) {
e.printStackTrace();
}
lruCache = null;
diskCache = null;
}
}
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