参考地址：
Android图片加载框架最全解析（三），深入探究Glide的缓存机制
public class Engine implements EngineJobListener,
MemoryCache.ResourceRemovedListener,
EngineResource.ResourceListener {
public <T, Z, R> LoadStatus load(Key signature, int width, int height, DataFetcher<T> fetcher,
DataLoadProvider<T, Z> loadProvider, Transformation<Z> transformation, ResourceTranscoder<Z, R> transcoder,
Priority priority, boolean isMemoryCacheable, DiskCacheStrategy diskCacheStrategy, ResourceCallback cb) {
Util.assertMainThread();
long startTime = LogTime.getLogTime();
final String id = fetcher.getId();
//创建key
EngineKey key = keyFactory.buildKey(id, signature, width, height, loadProvider.getCacheDecoder(),
loadProvider.getSourceDecoder(), transformation, loadProvider.getEncoder(),
transcoder, loadProvider.getSourceEncoder());
//从内存中取数据
EngineResource<?> cached = loadFromCache(key, isMemoryCacheable);
if (cached != null) {
cb.onResourceReady(cached);
if (Log.isLoggable(TAG, Log.VERBOSE)) {
logWithTimeAndKey("Loaded resource from cache", startTime, key);
}
return null;
}
//从
EngineResource<?> active = loadFromActiveResources(key, isMemoryCacheable);
if (active != null) {
cb.onResourceReady(active);
if (Log.isLoggable(TAG, Log.VERBOSE)) {
logWithTimeAndKey("Loaded resource from active resources", startTime, key);
}
return null;
}
EngineJob current = jobs.get(key);
if (current != null) {
current.addCallback(cb);
if (Log.isLoggable(TAG, Log.VERBOSE)) {
logWithTimeAndKey("Added to existing load", startTime, key);
}
return new LoadStatus(cb, current);
}
EngineJob engineJob = engineJobFactory.build(key, isMemoryCacheable);
DecodeJob<T, Z, R> decodeJob = new DecodeJob<T, Z, R>(key, width, height, fetcher, loadProvider, transformation,
transcoder, diskCacheProvider, diskCacheStrategy, priority);
EngineRunnable runnable = new EngineRunnable(engineJob, decodeJob, priority);
jobs.put(key, engineJob);
engineJob.addCallback(cb);
engineJob.start(runnable);
if (Log.isLoggable(TAG, Log.VERBOSE)) {
logWithTimeAndKey("Started new load", startTime, key);
}
return new LoadStatus(cb, engineJob);
}
}
内存缓存
public class Engine implements EngineJobListener,
MemoryCache.ResourceRemovedListener,
EngineResource.ResourceListener {
private final MemoryCache cache;
private final Map<Key, WeakReference<EngineResource<?>>> activeResources;
private EngineResource<?> loadFromCache(Key key, boolean isMemoryCacheable) {
//skipMemoryCache()如果在这个方法中传入true，那么这里的isMemoryCacheable就会是false，表示内存缓存已被禁用。
if (!isMemoryCacheable) {
return null;
}
EngineResource<?> cached = getEngineResourceFromCache(key);
if (cached != null) {
cached.acquire();//引用计数加一
//当我们从LruResourceCache中获取到缓存图片之后会将它从缓存中移除，然后将这个缓存图片存储到activeResources当中
activeResources.put(key, new ResourceWeakReference(key, cached, getReferenceQueue()));
}
return cached;
}
@SuppressWarnings("unchecked")
private EngineResource<?> getEngineResourceFromCache(Key key) {
//删除给定键的值，如果存在则返回它，否则返回null。
Resource<?> cached = cache.remove(key);
final EngineResource result;
if (cached == null) {
result = null;
} else if (cached instanceof EngineResource) {
// Save an object allocation if we've cached an EngineResource (the typical case).
result = (EngineResource) cached;
} else {
result = new EngineResource(cached, true /*isCacheable*/);
}
return result;
}
}
public class Engine implements EngineJobListener,
MemoryCache.ResourceRemovedListener,
EngineResource.ResourceListener {
private final Map<Key, WeakReference<EngineResource<?>>> activeResources;
private EngineResource<?> loadFromActiveResources(Key key, boolean isMemoryCacheable) {
if (!isMemoryCacheable) {
return null;
}
EngineResource<?> active = null;
//activeResources就是一个弱引用的HashMap，用来缓存正在使用中的图
///片，我们可以看到，loadFromActiveResources()方法就是从activeResources
//这个HashMap当中取值的。使用activeResources来缓存正在使用中的图片，可
//以保护这些图片不会被LruCache算法回收掉。
WeakReference<EngineResource<?>> activeRef = activeResources.get(key);
if (activeRef != null) {
active = activeRef.get();
if (active != null) {
active.acquire();
} else {
activeResources.remove(key);
}
}
return active;
}
}
当图片加载完成之后，会在EngineJob当中通过Handler发送一条消息将执行逻辑切回到主线程当中，从而执行handleResultOnMainThread()方法。那么我们现在重新来看一下这个方法，代码如下所示：
class EngineJob implements EngineRunnable.EngineRunnableManager {
private final EngineResourceFactory engineResourceFactory;
...
private void handleResultOnMainThread() {
if (isCancelled) {
resource.recycle();
return;
} else if (cbs.isEmpty()) {
throw new IllegalStateException("Received a resource without any callbacks to notify");
}
engineResource = engineResourceFactory.build(resource, isCacheable);
hasResource = true;
engineResource.acquire();
//
listener.onEngineJobComplete(key, engineResource);
for (ResourceCallback cb : cbs) {
if (!isInIgnoredCallbacks(cb)) {
engineResource.acquire();
cb.onResourceReady(engineResource);
}
}
engineResource.release();
}
static class EngineResourceFactory {
public <R> EngineResource<R> build(Resource<R> resource, boolean isMemoryCacheable) {
return new EngineResource<R>(resource, isMemoryCacheable);
}
}
...
}
这里通过EngineResourceFactory构建出了一个包含图片资源的EngineResource对象，然后会在将这个对象回调到Engine的onEngineJobComplete()方法当中
public class Engine implements EngineJobListener,
MemoryCache.ResourceRemovedListener,
EngineResource.ResourceListener {
...
@Override
public void onEngineJobComplete(Key key, EngineResource<?> resource) {
Util.assertMainThread();
// A null resource indicates that the load failed, usually due to an exception.
if (resource != null) {
resource.setResourceListener(key, this);
if (resource.isCacheable()) {
//缓存
activeResources.put(key, new ResourceWeakReference(key, resource, getReferenceQueue()));
}
}
jobs.remove(key);
}
...
}
那么这只是弱引用缓存，还有另外一种LruCache缓存是在哪里写入的呢？这就要介绍一下EngineResource中的一个引用机制了。观察刚才的handleResultOnMainThread()方法，在第15行和第19行有调用EngineResource的acquire()方法，在第23行有调用它的release()方法。其实，EngineResource是用一个acquired变量用来记录图片被引用的次数，调用acquire()方法会让变量加1，调用release()方法会让变量减1，代码如下所示
class EngineResource<Z> implements Resource<Z> {
private int acquired;
...
void acquire() {
if (isRecycled) {
throw new IllegalStateException("Cannot acquire a recycled resource");
}
if (!Looper.getMainLooper().equals(Looper.myLooper())) {
throw new IllegalThreadStateException("Must call acquire on the main thread");
}
++acquired;
}
void release() {
if (acquired <= 0) {
throw new IllegalStateException("Cannot release a recycled or not yet acquired resource");
}
if (!Looper.getMainLooper().equals(Looper.myLooper())) {
throw new IllegalThreadStateException("Must call release on the main thread");
}
if (--acquired == 0) {
listener.onResourceReleased(key, this);
}
}
}
也就是说，当acquired变量大于0的时候，说明图片正在使用中，也就应该放到activeResources弱引用缓存当中。而经过release()之后，如果acquired变量等于0了，说明图片已经不再被使用了，那么此时会在第24行调用listener的onResourceReleased()方法来释放资源，这个listener就是Engine对象，我们来看下它的onResourceReleased()方法：
public class Engine implements EngineJobListener,
MemoryCache.ResourceRemovedListener,
EngineResource.ResourceListener {
private final MemoryCache cache;
private final Map<Key, WeakReference<EngineResource<?>>> activeResources;
...
@Override
public void onResourceReleased(Key cacheKey, EngineResource resource) {
Util.assertMainThread();
activeResources.remove(cacheKey);
if (resource.isCacheable()) {
cache.put(cacheKey, resource);
} else {
resourceRecycler.recycle(resource);
}
}
...
}
可以看到，这里首先会将缓存图片从activeResources中移除，然后再将它put到LruResourceCache当中。这样也就实现了正在使用中的图片使用弱引用来进行缓存，不在使用中的图片使用LruCache来进行缓存的功能。
这就是Glide内存缓存的实现原理。
