Android图片异步请求加三级缓存 Android实现图片异步请求加三级缓存

public abstract class AsyncTask<Params, Progress, Result> {
 private static final String LOG_TAG = "AsyncTask";

 private static final int CORE_POOL_SIZE = 5;
 private static final int MAXIMUM_POOL_SIZE = 128;
 private static final int KEEP_ALIVE = 1;

 private static final ThreadFactory sThreadFactory = new ThreadFactory() {
  private final AtomicInteger mCount = new AtomicInteger(1);

  public Thread newThread(Runnable r) {
   return new Thread(r, "AsyncTask #" + mCount.getAndIncrement());
  }
 };

 private static final InternalHandler sHandler = new InternalHandler();

 mFuture = new FutureTask<Result>(mWorker) {
   @Override
   protected void More ...done() {
    Message message;
    Result result = null;
    try {
     result = get();
    } catch (InterruptedException e) {
     android.util.Log.w(LOG_TAG, e);
    } catch (ExecutionException e) {
     throw new RuntimeException("An error occured while executing doInBackground()",
       e.getCause());
    } catch (CancellationException e) {
     message = sHandler.obtainMessage(MESSAGE_POST_CANCEL,
       new AsyncTaskResult<Result>(AsyncTask.this, (Result[]) null));
     message.sendToTarget();
     return;
    } catch (Throwable t) {
     throw new RuntimeException("An error occured while executing "
       + "doInBackground()", t);
    }

    message = sHandler.obtainMessage(MESSAGE_POST_RESULT,
      new AsyncTaskResult<Result>(AsyncTask.this, result));
    message.sendToTarget();
   }
  };
 private static class InternalHandler extends Handler {
  @SuppressWarnings({"unchecked", "RawUseOfParameterizedType"})
  @Override
  public void More ...handleMessage(Message msg) {
   AsyncTaskResult result = (AsyncTaskResult) msg.obj;
   switch (msg.what) {
    case MESSAGE_POST_RESULT:
     // There is only one result
     result.mTask.finish(result.mData[0]);
     break;
    case MESSAGE_POST_PROGRESS:
     result.mTask.onProgressUpdate(result.mData);
     break;
    case MESSAGE_POST_CANCEL:
     result.mTask.onCancelled();
     break;
   }
  }
 }

import java.io.InputStream;
import java.net.HttpURLConnection;
import java.net.URL;

import android.graphics.Bitmap;
import android.graphics.BitmapFactory;
import android.os.AsyncTask;
import android.widget.ImageView;

/**
 * 网络缓存
 * 
 * @author Ace
 * @date 2016-02-18
 */
public class NetCacheUtils {

 private LocalCacheUtils mLocalUtils;
 private MemoryCacheUtils mMemoryUtils;

 public NetCacheUtils(LocalCacheUtils localUtils,
   MemoryCacheUtils memoryUtils) {
  mLocalUtils = localUtils;
  mMemoryUtils = memoryUtils;
 }

 public void getBitmapFromNet(ImageView imageView, String url) {
  BitmapTask task = new BitmapTask();
  task.execute(imageView, url);
 }

 /**
  * AsyncTask是线程池+handler的封装 第一个泛型: 传参的参数类型类型(和doInBackground一致) 第二个泛型:
  * 更新进度的参数类型(和onProgressUpdate一致) 第三个泛型: 返回结果的参数类型(和onPostExecute一致,
  * 和doInBackground返回类型一致)
  */
 class BitmapTask extends AsyncTask<Object, Integer, Bitmap> {

  private ImageView mImageView;
  private String url;

  // 主线程运行, 预加载
  @Override
  protected void onPreExecute() {
   super.onPreExecute();
  }

  // 子线程运行, 异步加载逻辑在此方法中处理
  @Override
  protected Bitmap doInBackground(Object... params) {
   mImageView = (ImageView) params[0];
   url = (String) params[1];
   mImageView.setTag(url);// 将imageView和url绑定在一起
   // publishProgress(values)//通知进度

   // 下载图片
   return download(url);
  }

  // 主线程运行, 更新进度
  @Override
  protected void onProgressUpdate(Integer... values) {
   super.onProgressUpdate(values);
  }

  // 主线程运行, 更新主界面
  @Override
  protected void onPostExecute(Bitmap result) {
   if (result != null) {
    // 判断当前图片是否就是imageView要的图片, 防止listview重用导致的图片错乱的情况出现
    String bindUrl = (String) mImageView.getTag();
    if (bindUrl.equals(url)) {
     // 给imageView设置图片
     mImageView.setImageBitmap(result);
 // 将图片保存在本地
     mLocalUtils.setBitmapToLocal(result, url);

     // 将图片保存在内存
     mMemoryUtils.setBitmapToMemory(url, result);
    }
   }
  }

 }

 /**
  * 下载图片
  * 
  * @param url
  */
 public Bitmap download(String url) {
  HttpURLConnection conn = null;
  try {
   conn = (HttpURLConnection) (new URL(url).openConnection());

   conn.setConnectTimeout(5000);
   conn.setReadTimeout(5000);
   conn.setRequestMethod("GET");

   conn.connect();

   int responseCode = conn.getResponseCode();
   if (responseCode == 200) {
    InputStream in = conn.getInputStream();
    // 将流转化为bitmap对象
    Bitmap bitmap = BitmapFactory.decodeStream(in);
    return bitmap;
   }

  } catch (Exception e) {
   e.printStackTrace();
  } finally {
   if (conn != null) {
    conn.disconnect();
   }
  }

  return null;
 }

}

* 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. 

* Cache保存一个强引用来限制内容数量，每当Item被访问的时候，此Item就会移动到队列的头部。
* 当cache已满的时候加入新的item时，在队列尾部的item会被回收。
* <p>If your cached values hold resources that need to be explicitly released, 
* override {@link #entryRemoved}. 
* 如果你cache的某个值需要明确释放，重写entryRemoved()

 

* <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: 默认cache大小是测量的item的数量，重写sizeof计算不同item的
* 大小。

 {@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(); 
 *  } 
 * }}
 

-------------------------------------------------------------------

<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> 
* 他是线程安全的,自动地执行多个缓存操作并且加锁

 

-------------------------

<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.
* 不允许key或者value为null
* 当get（），put（），remove（）返回值为null时，key相应的项不在cache中

import android.graphics.Bitmap;
import android.support.v4.util.LruCache;

/**
 * 内存缓存工具类
 * 
 * @author Ace
 * @date 2016-02-19
 */
public class MemoryCacheUtils {


 // Android 2.3 (API Level
 // 9)开始，垃圾回收器会更倾向于回收持有软引用或弱引用的对象，这让软引用和弱引用变得不再可靠,建议用LruCache,它是强引用

 private LruCache<String, Bitmap> mCache;

 public MemoryCacheUtils() {
  int maxMemory = (int) Runtime.getRuntime().maxMemory();// 获取虚拟机分配的最大内存
                // 16M
  // LRU 最近最少使用, 通过控制内存不要超过最大值(由开发者指定), 来解决内存溢出,就像上面翻译的所说 如果cache满了会清理最近最少使用的缓存对象
  mCache = new LruCache<String, Bitmap>(maxMemory / 8) {
   @Override
   protected int sizeOf(String key, Bitmap value) {
    // 计算一个bitmap的大小
    int size = value.getRowBytes() * value.getHeight();// 每一行的字节数乘以高度
    return size;
   }
  };
 }

 public Bitmap getBitmapFromMemory(String url) {

  return mCache.get(url);
 }

 public void setBitmapToMemory(String url, Bitmap bitmap) {

  mCache.put(url, bitmap);
 }

}

/**
 * 本地缓存工具类
 * 
 * @author Ace
 * @date 2016-02-19
 */
public class LocalCacheUtils {

 // 图片缓存的文件夹
 public static final String DIR_PATH = Environment
   .getExternalStorageDirectory().getAbsolutePath()
   + "/ace_bitmap_cache";

 public Bitmap getBitmapFromLocal(String url) {
  try {
   File file = new File(DIR_PATH, MD5Encoder.encode(url));

   if (file.exists()) {
    Bitmap bitmap = BitmapFactory.decodeStream(new FileInputStream(
      file));
    return bitmap;
   }

  } catch (Exception e) {
   e.printStackTrace();
  }

  return null;
 }

 public void setBitmapToLocal(Bitmap bitmap, String url) {
  File dirFile = new File(DIR_PATH);

  // 创建文件夹 文件夹不存在或者它不是文件夹 则创建一个文件夹.mkdirs,mkdir的区别在于假如文件夹有好几层路径的话,前者会创建缺失的父目录 后者不会创建这些父目录
  if (!dirFile.exists() || !dirFile.isDirectory()) {
   dirFile.mkdirs();
  }

  try {
   File file = new File(DIR_PATH, MD5Encoder.encode(url));
   // 将图片压缩保存在本地,参1:压缩格式;参2:压缩质量(0-100);参3:输出流
   bitmap.compress(CompressFormat.JPEG, 100,
     new FileOutputStream(file));
  } catch (Exception e) {
   e.printStackTrace();
  }
 }

}

import java.security.MessageDigest;

public class MD5Encoder {
 
 public static String encode(String string) throws Exception {
  byte[] hash = MessageDigest.getInstance("MD5").digest(string.getBytes("UTF-8"));
  StringBuilder hex = new StringBuilder(hash.length * 2);
  for (byte b : hash) {
   if ((b & 0xFF) < 0x10) {
    hex.append("0");
   }
   hex.append(Integer.toHexString(b & 0xFF));
  }
  return hex.toString();
 }
}

/**
 * 三级缓存工具类
 * 
 * @author Ace
 * @date 2016-02-19
 */
public class MyBitmapUtils {

 // 网络缓存工具类
 private NetCacheUtils mNetUtils;
 // 本地缓存工具类
 private LocalCacheUtils mLocalUtils;
 // 内存缓存工具类
 private MemoryCacheUtils mMemoryUtils;

 public MyBitmapUtils() {
  mMemoryUtils = new MemoryCacheUtils();
  mLocalUtils = new LocalCacheUtils();
  mNetUtils = new NetCacheUtils(mLocalUtils, mMemoryUtils);
 }

 public void display(ImageView imageView, String url) {
  // 设置默认加载图片
  imageView.setImageResource(R.drawable.news_pic_default);

  // 先从内存缓存加载
  Bitmap bitmap = mMemoryUtils.getBitmapFromMemory(url);
  if (bitmap != null) {
   imageView.setImageBitmap(bitmap);
   System.out.println("从内存读取图片啦...");
   return;
  }

  // 再从本地缓存加载
  bitmap = mLocalUtils.getBitmapFromLocal(url);
  if (bitmap != null) {
   imageView.setImageBitmap(bitmap);
   System.out.println("从本地读取图片啦...");
   // 给内存设置图片
   mMemoryUtils.setBitmapToMemory(url, bitmap);
   return;
  }

  // 从网络缓存加载
  mNetUtils.getBitmapFromNet(imageView, url);
 }

}