本篇基于Glide4.6.1
上一篇Glide使用（二）流程解析分析了glide加载图片的with()方法和load()方法，我们知道with()和load()两个方法就是为了创建各种对象和赋值各种参数，into()方法开始真正的加载和解析图片，这篇分析into()方法。
into()
public ViewTarget<ImageView, TranscodeType> into(@NonNull ImageView view) {
Util.assertMainThread();
Preconditions.checkNotNull(view);
RequestOptions requestOptions = this.requestOptions;
if (!requestOptions.isTransformationSet()
&& requestOptions.isTransformationAllowed()
&& view.getScaleType() != null) {
switch (view.getScaleType()) {
case CENTER_CROP:
requestOptions = requestOptions.clone().optionalCenterCrop();
break;
case CENTER_INSIDE:
requestOptions = requestOptions.clone().optionalCenterInside();
break;
case FIT_CENTER:
case FIT_START:
case FIT_END:
requestOptions = requestOptions.clone().optionalFitCenter();
break;
case FIT_XY:
requestOptions = requestOptions.clone().optionalCenterInside();
break;
case CENTER:
case MATRIX:
default:
// Do nothing.
}
}
return into(
glideContext.buildImageViewTarget(view, transcodeClass),
/*targetListener=*/ null,
requestOptions);
}首先如果我们的ImageView自己设置了ScaleType，这里就把RequestOptions克隆一份然后把ScaleType设置到克隆的RequestOptions中去。然后继续调用into()的三个参数的重载方法。把requestOptions传进去，还传了一个target对象。
target对象通过我们传入的view和转换类型创建glideContext.buildImageViewTarget(view, transcodeClass),
public class ImageViewTargetFactory {
@NonNull
@SuppressWarnings("unchecked")
public <Z> ViewTarget<ImageView, Z> buildTarget(@NonNull ImageView view,
@NonNull Class<Z> clazz) {
if (Bitmap.class.equals(clazz)) {
return (ViewTarget<ImageView, Z>) new BitmapImageViewTarget(view);
} else if (Drawable.class.isAssignableFrom(clazz)) {
return (ViewTarget<ImageView, Z>) new DrawableImageViewTarget(view);
} else {
throw new IllegalArgumentException(
"Unhandled class: " + clazz + ", try .as*(Class).transcode(ResourceTranscoder)");
}
}
}首先我们看一下Target对象是个神马东西，第一篇Glide使用（一）基本用法 我们知道，into(）方法我们不仅可以传入一个ImageView对象也可以传入一个target对象。从上面的代码中我们知道我们传入的ImageView对象最终也是被转化为了target（BitmapImageViewTarget或者DrawableImageViewTarget）对象。
public interface Target<R> extends LifecycleListener {
int SIZE_ORIGINAL = Integer.MIN_VALUE;
//开始加载
void onLoadStarted(@Nullable Drawable placeholder);
//加载失败
void onLoadFailed(@Nullable Drawable errorDrawable);
//加载完成
void onResourceReady(@NonNull R resource, @Nullable Transition<? super R> transition);
//加载取消
void onLoadCleared(@Nullable Drawable placeholder);
//检索target的大小
void getSize(@NonNull SizeReadyCallback cb);
void removeCallback(@NonNull SizeReadyCallback cb);
void setRequest(@Nullable Request request);
@Nullable
Request getRequest();
}可以看到target是一个接口并且监听了加载时候的各个状态和生命周期。而它的实现类ViewTarget还包含了request，我们传入的view，解析类型等等。所以可以看成我们最终加载出来的一个对象的封装，我们从中可以拿到一些我们需要的东西。下面看into()方法
private <Y extends Target<TranscodeType>> Y into(
@NonNull Y target,
@Nullable RequestListener<TranscodeType> targetListener,
@NonNull RequestOptions options) {
Util.assertMainThread();
Preconditions.checkNotNull(target);
if (!isModelSet) {
throw new IllegalArgumentException("You must call #load() before calling #into()");
}
options = options.autoClone();
Request request = buildRequest(target, targetListener, options);
Request previous = target.getRequest();
if (request.isEquivalentTo(previous)
&& !isSkipMemoryCacheWithCompletePreviousRequest(options, previous)) {
request.recycle();
if (!Preconditions.checkNotNull(previous).isRunning()) {
previous.begin();
}
return target;
}
requestManager.clear(target);
target.setRequest(request);
requestManager.track(target, request);
return target;
}（1）判断load(）方法有没有传入有效的参数
（2）创建一个request
（3）获取target中的request
（4）如果这两个request是一样的并且用户没有跳过内存缓存，并且这个request不是运行中，那么直接运行target中的request。previous.begin()。如果这个request已经运行完成，那么直接返回这个target。
（5）如果上面的条件都没走，把新建的request设置给target。并通过requestManager.track(target, request)执行新的request，并返回target。
这里有几个比较重要的
第一 创建request buildRequest(target, targetListener, options)
第二 previous.begin()
第三 requestManager.track(target, request)
先看一下第三项
判断Glide当前是不是处理暂停状态，如果不是暂停状态就调用Request的begin()方法来执行Request，否则的话就先将Request添加到待执行队列里面，等暂停状态解除了之后再执行
void track(@NonNull Target<?> target, @NonNull Request request) {
targetTracker.track(target);
requestTracker.runRequest(request);
}
public void runRequest(@NonNull Request request) {
requests.add(request);
if (!isPaused) {
request.begin();
} else {
pendingRequests.add(request);
}
}可以看到其实可以合并为两部分，创建request和执行request的begin()方法。第二和第三的区别是一个是执行缓存的request的begin()方法，第三是执行新建的request的begin()方法。
request就是我们加载资源的请求，它是一个接口，它有三个实现类
一个是错误的request，一个是缩略图的request，一个是主的request。buildRequest方法就是根据条件创建对应的request。
然后就是执行request的begin()方法了。启动一个异步的加载
public void begin() {
assertNotCallingCallbacks();
stateVerifier.throwIfRecycled();
startTime = LogTime.getLogTime();
if (model == null) {
if (Util.isValidDimensions(overrideWidth, overrideHeight)) {
width = overrideWidth;
height = overrideHeight;
}
int logLevel = getFallbackDrawable() == null ? Log.WARN : Log.DEBUG;
onLoadFailed(new GlideException("Received null model"), logLevel);
return;
}
if (status == Status.RUNNING) {
throw new IllegalArgumentException("Cannot restart a running request");
}
if (status == Status.COMPLETE) {
onResourceReady(resource, DataSource.MEMORY_CACHE);
return;
}
status = Status.WAITING_FOR_SIZE;
if (Util.isValidDimensions(overrideWidth, overrideHeight)) {
onSizeReady(overrideWidth, overrideHeight);
} else {
target.getSize(this);
}
if ((status == Status.RUNNING || status == Status.WAITING_FOR_SIZE)
&& canNotifyStatusChanged()) {
target.onLoadStarted(getPlaceholderDrawable());
}
if (IS_VERBOSE_LOGGABLE) {
logV("finished run method in " + LogTime.getElapsedMillis(startTime));
}
}主要代码
判断model是否为空，如果请求url为空的话，那就不用请求了，直接调用onLoadFailed加载失败。
如果加载完成就调用onResourceReady(resource, DataSource.MEMORY_CACHE);
如果没有加载就调用onSizeReady(overrideWidth, overrideHeight)
我们先看加载的方法onSizeReady，因为加载完成之后还是会调用onResourceReady方法。
public void onSizeReady(int width, int height) {
stateVerifier.throwIfRecycled();
if (IS_VERBOSE_LOGGABLE) {
logV("Got onSizeReady in " + LogTime.getElapsedMillis(startTime));
}
if (status != Status.WAITING_FOR_SIZE) {
return;
}
status = Status.RUNNING;
float sizeMultiplier = requestOptions.getSizeMultiplier();
this.width = maybeApplySizeMultiplier(width, sizeMultiplier);
this.height = maybeApplySizeMultiplier(height, sizeMultiplier);
if (IS_VERBOSE_LOGGABLE) {
logV("finished setup for calling load in " + LogTime.getElapsedMillis(startTime));
}
loadStatus = engine.load(
glideContext,
model,
requestOptions.getSignature(),
this.width,
this.height,
requestOptions.getResourceClass(),
transcodeClass,
priority,
requestOptions.getDiskCacheStrategy(),
requestOptions.getTransformations(),
requestOptions.isTransformationRequired(),
requestOptions.isScaleOnlyOrNoTransform(),
requestOptions.getOptions(),
requestOptions.isMemoryCacheable(),
requestOptions.getUseUnlimitedSourceGeneratorsPool(),
requestOptions.getUseAnimationPool(),
requestOptions.getOnlyRetrieveFromCache(),
this);
if (status != Status.RUNNING) {
loadStatus = null;
}
if (IS_VERBOSE_LOGGABLE) {
logV("finished onSizeReady in " + LogTime.getElapsedMillis(startTime));
}
}从这里我们看到了engine.load()方法。上一篇我们知道了engine执行引擎，内部包含线程池和缓存池等，我们可以猜出来快到联网加载的地方了。
public <R> LoadStatus load(
GlideContext glideContext,
Object model,
Key signature,
int width,
int height,
Class<?> resourceClass,
Class<R> transcodeClass,
Priority priority,
DiskCacheStrategy diskCacheStrategy,
Map<Class<?>, Transformation<?>> transformations,
boolean isTransformationRequired,
boolean isScaleOnlyOrNoTransform,
Options options,
boolean isMemoryCacheable,
boolean useUnlimitedSourceExecutorPool,
boolean useAnimationPool,
boolean onlyRetrieveFromCache,
ResourceCallback cb) {
Util.assertMainThread();
long startTime = LogTime.getLogTime();
EngineKey key = keyFactory.buildKey(model, signature, width, height, transformations,
resourceClass, transcodeClass, options);
EngineResource<?> active = loadFromActiveResources(key, isMemoryCacheable);
if (active != null) {
cb.onResourceReady(active, DataSource.MEMORY_CACHE);
if (Log.isLoggable(TAG, Log.VERBOSE)) {
logWithTimeAndKey("Loaded resource from active resources", startTime, key);
}
return null;
}
EngineResource<?> cached = loadFromCache(key, isMemoryCacheable);
if (cached != null) {
cb.onResourceReady(cached, DataSource.MEMORY_CACHE);
if (Log.isLoggable(TAG, Log.VERBOSE)) {
logWithTimeAndKey("Loaded resource from cache", startTime, key);
}
return null;
}
EngineJob<?> current = jobs.get(key, onlyRetrieveFromCache);
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<R> engineJob =
engineJobFactory.build(
key,
isMemoryCacheable,
useUnlimitedSourceExecutorPool,
useAnimationPool,
onlyRetrieveFromCache);
DecodeJob<R> decodeJob =
decodeJobFactory.build(
glideContext,
model,
key,
signature,
width,
height,
resourceClass,
transcodeClass,
priority,
diskCacheStrategy,
transformations,
isTransformationRequired,
isScaleOnlyOrNoTransform,
onlyRetrieveFromCache,
options,
engineJob);
jobs.put(key, engineJob);
engineJob.addCallback(cb);
engineJob.start(decodeJob);
if (Log.isLoggable(TAG, Log.VERBOSE)) {
logWithTimeAndKey("Started new load", startTime, key);
}
return new LoadStatus(cb, engineJob);
}（1）判断是不是在主线程，如果不是抛异常
（2）通过工厂方法创建EngineKey对象，它是通过url，view,view的宽高，转换类型等属性创建的一个唯一的key，用作缓存的存和取。
（3）根据创建的key对象分别调用loadFromActiveResources和loadFromCache方法来从内存中查找是否有缓存资源，如果有，则回调 cb.onResourceReady(active, DataSource.MEMORY_CACHE);来直接设置图片。
（4）通过工厂创建EngineJob和DecodeJob两个对象。下面看一下这两个类中的部分代码
EngineJob(
GlideExecutor diskCacheExecutor,
GlideExecutor sourceExecutor,
GlideExecutor sourceUnlimitedExecutor,
GlideExecutor animationExecutor,
EngineJobListener listener,
Pools.Pool<EngineJob<?>> pool) {
this(
diskCacheExecutor,
sourceExecutor,
sourceUnlimitedExecutor,
animationExecutor,
listener,
pool,
DEFAULT_FACTORY);
}class DecodeJob<R> implements DataFetcherGenerator.FetcherReadyCallback,
Runnable,
Comparable<DecodeJob<?>>,
Poolable {从上面代码可以看到EngineJob中有很多线程池，而DecodeJob实现了Runnable对象，那么它本身也是一个Runnable。从而我们就可以想到从线程池中执行一个Runnable。
（5）把这个线程池对象缓存一下jobs.put(key, engineJob);
（6）调用engineJob.start(decodeJob);来开启线程
public void start(DecodeJob<R> decodeJob) {
this.decodeJob = decodeJob;
GlideExecutor executor = decodeJob.willDecodeFromCache()
? diskCacheExecutor
: getActiveSourceExecutor();
executor.execute(decodeJob);
}线程开启之后，我们知道DecodeJob是一个Runnable对象，所以，其执行的逻辑肯定是在它的run()方法中，所以我们直接去看run()方法。
public void run() {
TraceCompat.beginSection("DecodeJob#run");
DataFetcher<?> localFetcher = currentFetcher;
try {
if (isCancelled) {
notifyFailed();
return;
}
runWrapped();
} catch (Throwable t) {
if (Log.isLoggable(TAG, Log.DEBUG)) {
Log.d(TAG, "DecodeJob threw unexpectedly"
+ ", isCancelled: " + isCancelled
+ ", stage: " + stage, t);
}
if (stage != Stage.ENCODE) {
throwables.add(t);
notifyFailed();
}
if (!isCancelled) {
throw t;
}
} finally {
if (localFetcher != null) {
localFetcher.cleanup();
}
TraceCompat.endSection();
}
}调用了run的包装方法runWrapped();
private void runWrapped() {
switch (runReason) {
case INITIALIZE:
stage = getNextStage(Stage.INITIALIZE);
currentGenerator = getNextGenerator();
runGenerators();
break;
case SWITCH_TO_SOURCE_SERVICE:
runGenerators();
break;
case DECODE_DATA:
decodeFromRetrievedData();
break;
default:
throw new IllegalStateException("Unrecognized run reason: " + runReason);
}
}如果是第一次执行，我们将进入到 INITIALIZE 中 执行getNextStage方法
private Stage getNextStage(Stage current) {
switch (current) {
case INITIALIZE:
return diskCacheStrategy.decodeCachedResource()
? Stage.RESOURCE_CACHE : getNextStage(Stage.RESOURCE_CACHE);
case RESOURCE_CACHE:
return diskCacheStrategy.decodeCachedData()
? Stage.DATA_CACHE : getNextStage(Stage.DATA_CACHE);
case DATA_CACHE:
// Skip loading from source if the user opted to only retrieve the resource from cache.
return onlyRetrieveFromCache ? Stage.FINISHED : Stage.SOURCE;
case SOURCE:
case FINISHED:
return Stage.FINISHED;
default:
throw new IllegalArgumentException("Unrecognized stage: " + current);
}
}这里我们说第一次执行的时候，进过一系列的递归判断，不是缓存，最后返回SOURCE，然后执行getNextGenerator()方法
private DataFetcherGenerator getNextGenerator() {
switch (stage) {
case RESOURCE_CACHE:
return new ResourceCacheGenerator(decodeHelper, this);
case DATA_CACHE:
return new DataCacheGenerator(decodeHelper, this);
case SOURCE:
return new SourceGenerator(decodeHelper, this);
case FINISHED:
return null;
default:
throw new IllegalStateException("Unrecognized stage: " + stage);
}
}getNextGenerator()方法中，通过上个方法返回的state，最终返回new SourceGenerator(decodeHelper, this);然后执行runGenerators() 方法
private void runGenerators() {
currentThread = Thread.currentThread();
startFetchTime = LogTime.getLogTime();
boolean isStarted = false;
while (!isCancelled && currentGenerator != null
&& !(isStarted = currentGenerator.startNext())) {
stage = getNextStage(stage);
currentGenerator = getNextGenerator();
if (stage == Stage.SOURCE) {
reschedule();
return;
}
}
// We've run out of stages and generators, give up.
if ((stage == Stage.FINISHED || isCancelled) && !isStarted) {
notifyFailed();
}
// Otherwise a generator started a new load and we expect to be called back in
// onDataFetcherReady.
}这里面执行了一个重要的方法currentGenerator.startNext()
public boolean startNext() {
if (dataToCache != null) {
Object data = dataToCache;
dataToCache = null;
cacheData(data);
}
if (sourceCacheGenerator != null && sourceCacheGenerator.startNext()) {
return true;
}
sourceCacheGenerator = null;
loadData = null;
boolean started = false;
while (!started && hasNextModelLoader()) {
loadData = helper.getLoadData().get(loadDataListIndex++);
if (loadData != null
&& (helper.getDiskCacheStrategy().isDataCacheable(loadData.fetcher.getDataSource())
|| helper.hasLoadPath(loadData.fetcher.getDataClass()))) {
started = true;
loadData.fetcher.loadData(helper.getPriority(), this);
}
}
return started;
}主要看while 循环中，首先获取loadData
List<LoadData<?>> getLoadData() {
if (!isLoadDataSet) {
isLoadDataSet = true;
loadData.clear();
List<ModelLoader<Object, ?>> modelLoaders = glideContext.getRegistry().getModelLoaders(model);
//noinspection ForLoopReplaceableByForEach to improve perf
for (int i = 0, size = modelLoaders.size(); i < size; i++) {
ModelLoader<Object, ?> modelLoader = modelLoaders.get(i);
LoadData<?> current =
modelLoader.buildLoadData(model, width, height, options);
if (current != null) {
loadData.add(current);
}
}
}
return loadData;
}从Registry中获得modelLoaders 。Registry是我们Glide初始化的时候创建的，里面添加了各种请求和解析的方式。比如我们这里使用HttpUriLoader，回到startNext()方法中loadData.fetcher.loadData(helper.getPriority(), this);调用HttpUriLoader的HttpUrlFetcher的loadData方法。
public void loadData(@NonNull Priority priority,
@NonNull DataCallback<? super InputStream> callback) {
long startTime = LogTime.getLogTime();
try {
InputStream result = loadDataWithRedirects(glideUrl.toURL(), 0, null, glideUrl.getHeaders());
callback.onDataReady(result);
} catch (IOException e) {
if (Log.isLoggable(TAG, Log.DEBUG)) {
Log.d(TAG, "Failed to load data for url", e);
}
callback.onLoadFailed(e);
} finally {
if (Log.isLoggable(TAG, Log.VERBOSE)) {
Log.v(TAG, "Finished http url fetcher fetch in " + LogTime.getElapsedMillis(startTime));
}
}
}调用loadDataWithRedirects方法来返回一个InputStream输入流，然后看loadDataWithRedirects方法
private InputStream loadDataWithRedirects(URL url, int redirects, URL lastUrl,
Map<String, String> headers) throws IOException {
if (redirects >= MAXIMUM_REDIRECTS) {
throw new HttpException("Too many (> " + MAXIMUM_REDIRECTS + ") redirects!");
} else {
// Comparing the URLs using .equals performs additional network I/O and is generally broken.
// See http://michaelscharf.blogspot.com/2006/11/javaneturlequals-and-hashcode-make.html.
try {
if (lastUrl != null && url.toURI().equals(lastUrl.toURI())) {
throw new HttpException("In re-direct loop");
}
} catch (URISyntaxException e) {
// Do nothing, this is best effort.
}
}
urlConnection = connectionFactory.build(url);
for (Map.Entry<String, String> headerEntry : headers.entrySet()) {
urlConnection.addRequestProperty(headerEntry.getKey(), headerEntry.getValue());
}
urlConnection.setConnectTimeout(timeout);
urlConnection.setReadTimeout(timeout);
urlConnection.setUseCaches(false);
urlConnection.setDoInput(true);
// Stop the urlConnection instance of HttpUrlConnection from following redirects so that
// redirects will be handled by recursive calls to this method, loadDataWithRedirects.
urlConnection.setInstanceFollowRedirects(false);
// Connect explicitly to avoid errors in decoders if connection fails.
urlConnection.connect();
// Set the stream so that it's closed in cleanup to avoid resource leaks. See #2352.
stream = urlConnection.getInputStream();
if (isCancelled) {
return null;
}
final int statusCode = urlConnection.getResponseCode();
if (isHttpOk(statusCode)) {
return getStreamForSuccessfulRequest(urlConnection);
} else if (isHttpRedirect(statusCode)) {
String redirectUrlString = urlConnection.getHeaderField("Location");
if (TextUtils.isEmpty(redirectUrlString)) {
throw new HttpException("Received empty or null redirect url");
}
URL redirectUrl = new URL(url, redirectUrlString);
// Closing the stream specifically is required to avoid leaking ResponseBodys in addition
// to disconnecting the url connection below. See #2352.
cleanup();
return loadDataWithRedirects(redirectUrl, redirects + 1, url, headers);
} else if (statusCode == INVALID_STATUS_CODE) {
throw new HttpException(statusCode);
} else {
throw new HttpException(urlConnection.getResponseMessage(), statusCode);
}
}在这里我们终于看到了熟悉的网络请求类HttpURLConnection了，不过这里只是建立链接返回一个读取的流InputStream。然后回到loadData()，callback.onDataReady(result);调用onDataReady方法，把读取流传进去。callback传入的是SourceGenerator。所以直接进入SourceGenerator中的onDataReady()方法。
@Override
public void onDataReady(Object data) {
DiskCacheStrategy diskCacheStrategy = helper.getDiskCacheStrategy();
if (data != null && diskCacheStrategy.isDataCacheable(loadData.fetcher.getDataSource())) {
dataToCache = data;
// We might be being called back on someone else's thread. Before doing anything, we should
// reschedule to get back onto Glide's thread.
cb.reschedule();
} else {
cb.onDataFetcherReady(loadData.sourceKey, data, loadData.fetcher,
loadData.fetcher.getDataSource(), originalKey);
}
}最终调用 cb.onDataFetcherReady 方法，这里的cb是DecodeJob中的。
public void onDataFetcherReady(Key sourceKey, Object data, DataFetcher<?> fetcher,
DataSource dataSource, Key attemptedKey) {
this.currentSourceKey = sourceKey;
this.currentData = data;
this.currentFetcher = fetcher;
this.currentDataSource = dataSource;
this.currentAttemptingKey = attemptedKey;
if (Thread.currentThread() != currentThread) {
runReason = RunReason.DECODE_DATA;
callback.reschedule(this);
} else {
TraceCompat.beginSection("DecodeJob.decodeFromRetrievedData");
try {
decodeFromRetrievedData();
} finally {
TraceCompat.endSection();
}
}
}判断是不是当前线程，然后调用decodeFromRetrievedData()来解析数据
private void decodeFromRetrievedData() {
if (Log.isLoggable(TAG, Log.VERBOSE)) {
logWithTimeAndKey("Retrieved data", startFetchTime,
"data: " + currentData
+ ", cache key: " + currentSourceKey
+ ", fetcher: " + currentFetcher);
}
Resource<R> resource = null;
try {
resource = decodeFromData(currentFetcher, currentData, currentDataSource);
} catch (GlideException e) {
e.setLoggingDetails(currentAttemptingKey, currentDataSource);
throwables.add(e);
}
if (resource != null) {
notifyEncodeAndRelease(resource, currentDataSource);
} else {
runGenerators();
}
}创建Resource对象，通过decodeFromData方法赋值，如果返回的resource为null就在去重新请求。这里的resource是一个接口，它的实现有BitmapResource，DrawableResource，GifDrawableResource，FileResource等，可以知道这快接近我们最终想要的结果了。
private <Data> Resource<R> decodeFromData(DataFetcher<?> fetcher, Data data,
DataSource dataSource) throws GlideException {
try {
if (data == null) {
return null;
}
long startTime = LogTime.getLogTime();
Resource<R> result = decodeFromFetcher(data, dataSource);
if (Log.isLoggable(TAG, Log.VERBOSE)) {
logWithTimeAndKey("Decoded result " + result, startTime);
}
return result;
} finally {
fetcher.cleanup();
}
}首先调用decodeFromFetcher方法来获取Resource，最后的cleanup()关闭流stream和连接urlConnection。
private <Data> Resource<R> decodeFromFetcher(Data data, DataSource dataSource)
throws GlideException {
LoadPath<Data, ?, R> path = decodeHelper.getLoadPath((Class<Data>) data.getClass());
return runLoadPath(data, dataSource, path);
}通过getLoadPath方法创建了一个LoadPath对象，传入了data.getClass()，其实就是传入的InputStrem.class对象。
<Data> LoadPath<Data, ?, Transcode> getLoadPath(Class<Data> dataClass) {
return glideContext.getRegistry().getLoadPath(dataClass, resourceClass, transcodeClass);
}这里面直接调用了Registry中的getLoadPath，并传递了拥有的变量，其中resourceClass是Object.class，transcodeClass则是Drawable.class我们最终需要的对象，这些变量都是初始化的时候就创建好的。
@Nullable
public <Data, TResource, Transcode> LoadPath<Data, TResource, Transcode> getLoadPath(
@NonNull Class<Data> dataClass, @NonNull Class<TResource> resourceClass,
@NonNull Class<Transcode> transcodeClass) {
LoadPath<Data, TResource, Transcode> result =
loadPathCache.get(dataClass, resourceClass, transcodeClass);
if (loadPathCache.isEmptyLoadPath(result)) {
return null;
} else if (result == null) {
List<DecodePath<Data, TResource, Transcode>> decodePaths =
getDecodePaths(dataClass, resourceClass, transcodeClass);
if (decodePaths.isEmpty()) {
result = null;
} else {
result =
new LoadPath<>(
dataClass, resourceClass, transcodeClass, decodePaths, throwableListPool);
}
loadPathCache.put(dataClass, resourceClass, transcodeClass, result);
}
return result;
}先从缓存中取LoadPath，如果为null，先创建一个DecodePath对象，我们创建Glide的时候在registry中append的各种解析方式，getDecodePaths就是根据我们传入的参数拿到对应的解析类。在然后创建出LoadPath，传入刚创建的DecodePath，并放入到缓存中。
回到decodeFromFetcher方法中,开始执行runLoadPath方法
private <Data, ResourceType> Resource<R> runLoadPath(Data data, DataSource dataSource,
LoadPath<Data, ResourceType, R> path) throws GlideException {
Options options = getOptionsWithHardwareConfig(dataSource);
DataRewinder<Data> rewinder = glideContext.getRegistry().getRewinder(data);
try {
// ResourceType in DecodeCallback below is required for compilation to work with gradle.
return path.load(
rewinder, options, width, height, new DecodeCallback<ResourceType>(dataSource));
} finally {
rewinder.cleanup();
}
}从Registry中匹配获取装置器rewinder然后调用了上面获取的loadpath的load方法最后释放流
public Resource<Transcode> load(DataRewinder<Data> rewinder, @NonNull Options options, int width,
int height, DecodePath.DecodeCallback<ResourceType> decodeCallback) throws GlideException {
List<Throwable> throwables = Preconditions.checkNotNull(listPool.acquire());
try {
return loadWithExceptionList(rewinder, options, width, height, decodeCallback, throwables);
} finally {
listPool.release(throwables);
}
}直接调用了loadWithExceptionList方法
private Resource<Transcode> loadWithExceptionList(DataRewinder<Data> rewinder,
@NonNull Options options,
int width, int height, DecodePath.DecodeCallback<ResourceType> decodeCallback,
List<Throwable> exceptions) throws GlideException {
Resource<Transcode> result = null;
//noinspection ForLoopReplaceableByForEach to improve perf
for (int i = 0, size = decodePaths.size(); i < size; i++) {
DecodePath<Data, ResourceType, Transcode> path = decodePaths.get(i);
try {
result = path.decode(rewinder, width, height, options, decodeCallback);
} catch (GlideException e) {
exceptions.add(e);
}
if (result != null) {
break;
}
}
if (result == null) {
throw new GlideException(failureMessage, new ArrayList<>(exceptions));
}
return result;
}可以看到这里调用了path.decode进行解码。返回Resource
跟进decode方法中最终调用decodeResourceWithList进行解码
private Resource<ResourceType> decodeResourceWithList(DataRewinder<DataType> rewinder, int width,
int height, @NonNull Options options, List<Throwable> exceptions) throws GlideException {
Resource<ResourceType> result = null;
//noinspection ForLoopReplaceableByForEach to improve perf
for (int i = 0, size = decoders.size(); i < size; i++) {
ResourceDecoder<DataType, ResourceType> decoder = decoders.get(i);
try {
DataType data = rewinder.rewindAndGet();
if (decoder.handles(data, options)) {
data = rewinder.rewindAndGet();
result = decoder.decode(data, width, height, options);
}
// Some decoders throw unexpectedly. If they do, we shouldn't fail the entire load path, but
// instead log and continue. See #2406 for an example.
} catch (IOException | RuntimeException | OutOfMemoryError e) {
if (Log.isLoggable(TAG, Log.VERBOSE)) {
Log.v(TAG, "Failed to decode data for " + decoder, e);
}
exceptions.add(e);
}
if (result != null) {
break;
}
}
if (result == null) {
throw new GlideException(failureMessage, new ArrayList<>(exceptions));
}
return result;
}遍历decoder集合，获取到ResourceDecoder解码器（包括BitmapDrawableDecoder，GifFrameResourceDecoder，FileDecoder等），然后通过rewinder.rewindAndGet()获取到InputStream数据流，然后调用decoder.decode方法。这里我们看BitmapDrawableDecoder的decode方法
@Override
public Resource<BitmapDrawable> decode(@NonNull DataType source, int width, int height,
@NonNull Options options)
throws IOException {
Resource<Bitmap> bitmapResource = decoder.decode(source, width, height, options);
return LazyBitmapDrawableResource.obtain(resources, bitmapResource);
}它会交给StreamBitmapDecoder的decode方法，然后在转移到Downsampler类中的decode方法中：
public Resource<Bitmap> decode(InputStream is, int requestedWidth, int requestedHeight,
Options options, DecodeCallbacks callbacks) throws IOException {
Preconditions.checkArgument(is.markSupported(), "You must provide an InputStream that supports"
+ " mark()");
byte[] bytesForOptions = byteArrayPool.get(ArrayPool.STANDARD_BUFFER_SIZE_BYTES, byte[].class);
BitmapFactory.Options bitmapFactoryOptions = getDefaultOptions();
bitmapFactoryOptions.inTempStorage = bytesForOptions;
DecodeFormat decodeFormat = options.get(DECODE_FORMAT);
DownsampleStrategy downsampleStrategy = options.get(DOWNSAMPLE_STRATEGY);
boolean fixBitmapToRequestedDimensions = options.get(FIX_BITMAP_SIZE_TO_REQUESTED_DIMENSIONS);
boolean isHardwareConfigAllowed =
options.get(ALLOW_HARDWARE_CONFIG) != null && options.get(ALLOW_HARDWARE_CONFIG);
if (decodeFormat == DecodeFormat.PREFER_ARGB_8888_DISALLOW_HARDWARE) {
isHardwareConfigAllowed = false;
}
try {
Bitmap result = decodeFromWrappedStreams(is, bitmapFactoryOptions,
downsampleStrategy, decodeFormat, isHardwareConfigAllowed, requestedWidth,
requestedHeight, fixBitmapToRequestedDimensions, callbacks);
return BitmapResource.obtain(result, bitmapPool);
} finally {
releaseOptions(bitmapFactoryOptions);
byteArrayPool.put(bytesForOptions);
}
}通过decodeFromWrappedStreams方法返回一个bitmap对象，并把bitmap保存在BitmapResource中返回BitmapResource。就这样我们拿到了需要的bitmap。返回到我们最初解码的地方
private void decodeFromRetrievedData() {
if (Log.isLoggable(TAG, Log.VERBOSE)) {
logWithTimeAndKey("Retrieved data", startFetchTime,
"data: " + currentData
+ ", cache key: " + currentSourceKey
+ ", fetcher: " + currentFetcher);
}
Resource<R> resource = null;
try {
resource = decodeFromData(currentFetcher, currentData, currentDataSource);
} catch (GlideException e) {
e.setLoggingDetails(currentAttemptingKey, currentDataSource);
throwables.add(e);
}
if (resource != null) {
notifyEncodeAndRelease(resource, currentDataSource);
} else {
runGenerators();
}
}如果resource不为null就调用notifyEncodeAndRelease
private void notifyEncodeAndRelease(Resource<R> resource, DataSource dataSource) {
if (resource instanceof Initializable) {
((Initializable) resource).initialize();
}
Resource<R> result = resource;
LockedResource<R> lockedResource = null;
if (deferredEncodeManager.hasResourceToEncode()) {
lockedResource = LockedResource.obtain(resource);
result = lockedResource;
}
notifyComplete(result, dataSource);
stage = Stage.ENCODE;
try {
if (deferredEncodeManager.hasResourceToEncode()) {
deferredEncodeManager.encode(diskCacheProvider, options);
}
} finally {
if (lockedResource != null) {
lockedResource.unlock();
}
}
// Call onEncodeComplete outside the finally block so that it's not called if the encode process
// throws.
onEncodeComplete();
}调用notifyComplete(result, dataSource);通知解码完成
private void notifyComplete(Resource<R> resource, DataSource dataSource) {
setNotifiedOrThrow();
callback.onResourceReady(resource, dataSource);
}这个是EngineJob中的callback
public void onResourceReady(Resource<R> resource, DataSource dataSource) {
this.resource = resource;
this.dataSource = dataSource;
MAIN_THREAD_HANDLER.obtainMessage(MSG_COMPLETE, this).sendToTarget();
}通过handler发送到主线程中去处理
void handleResultOnMainThread() {
stateVerifier.throwIfRecycled();
if (isCancelled) {
resource.recycle();
release(false /*isRemovedFromQueue*/);
return;
} else if (cbs.isEmpty()) {
throw new IllegalStateException("Received a resource without any callbacks to notify");
} else if (hasResource) {
throw new IllegalStateException("Already have resource");
}
engineResource = engineResourceFactory.build(resource, isCacheable);
hasResource = true;
// Hold on to resource for duration of request so we don't recycle it in the middle of
// notifying if it synchronously released by one of the callbacks.
engineResource.acquire();
listener.onEngineJobComplete(this, key, engineResource);
//noinspection ForLoopReplaceableByForEach to improve perf
for (int i = 0, size = cbs.size(); i < size; i++) {
ResourceCallback cb = cbs.get(i);
if (!isInIgnoredCallbacks(cb)) {
engineResource.acquire();
cb.onResourceReady(engineResource, dataSource);
}
}
// Our request is complete, so we can release the resource.
engineResource.release();
release(false /*isRemovedFromQueue*/);
}把处理结果通过cb.onResourceReady(engineResource, dataSource);回调出去，这里的cb是SingleRequest中的回调。
public void onResourceReady(Resource<?> resource, DataSource dataSource) {
stateVerifier.throwIfRecycled();
loadStatus = null;
if (resource == null) {
GlideException exception = new GlideException("Expected to receive a Resource<R> with an "
+ "object of " + transcodeClass + " inside, but instead got null.");
onLoadFailed(exception);
return;
}
Object received = resource.get();
if (received == null || !transcodeClass.isAssignableFrom(received.getClass())) {
releaseResource(resource);
GlideException exception = new GlideException("Expected to receive an object of "
+ transcodeClass + " but instead" + " got "
+ (received != null ? received.getClass() : "") + "{" + received + "} inside" + " "
+ "Resource{" + resource + "}."
+ (received != null ? "" : " " + "To indicate failure return a null Resource "
+ "object, rather than a Resource object containing null data."));
onLoadFailed(exception);
return;
}
if (!canSetResource()) {
releaseResource(resource);
// We can't put the status to complete before asking canSetResource().
status = Status.COMPLETE;
return;
}
onResourceReady((Resource<R>) resource, (R) received, dataSource);
}处理一些失败回调 最后调用onResourceReady((Resource<R>) resource, (R) received, dataSource);
private void onResourceReady(Resource<R> resource, R result, DataSource dataSource) {
// We must call isFirstReadyResource before setting status.
boolean isFirstResource = isFirstReadyResource();
status = Status.COMPLETE;
this.resource = resource;
if (glideContext.getLogLevel() <= Log.DEBUG) {
Log.d(GLIDE_TAG, "Finished loading " + result.getClass().getSimpleName() + " from "
+ dataSource + " for " + model + " with size [" + width + "x" + height + "] in "
+ LogTime.getElapsedMillis(startTime) + " ms");
}
isCallingCallbacks = true;
try {
if ((requestListener == null
|| !requestListener.onResourceReady(result, model, target, dataSource, isFirstResource))
&& (targetListener == null
|| !targetListener.onResourceReady(result, model, target, dataSource, isFirstResource))) {
Transition<? super R> animation =
animationFactory.build(dataSource, isFirstResource);
target.onResourceReady(result, animation);
}
} finally {
isCallingCallbacks = false;
}
notifyLoadSuccess();
}这里有调用了target.onResourceReady(result, animation);我们最开始看的是ImageViewTarget，所以这里进入ImageViewTarget的onResourceReady方法中
@Override
public void onResourceReady(@NonNull Z resource, @Nullable Transition<? super Z> transition) {
if (transition == null || !transition.transition(resource, this)) {
setResourceInternal(resource);
} else {
maybeUpdateAnimatable(resource);
}
}调用setResourceInternal设置图片
private void setResourceInternal(@Nullable Z resource) {
setResource(resource);
maybeUpdateAnimatable(resource);
}这里的setResource是个抽象方法，所以去其子类BitmapImageViewTarget中看
protected void setResource(Bitmap resource) {
view.setImageBitmap(resource);
}直接给view设置图片了，这一圈终于转完了。
Glide因为其功能多种多样，非常强大，所以其源码也非常多很复杂。看的时只能抓住主线来看，上面的代码跟随也只是其最基本的功能显示一张网络图片而已。不过想要了解源码，主线流程是首先要了解的部分。