Android Glide 源码解析(三)

本篇是 Glide 系列的最后一篇,主要讲一下 into 方法里面的逻辑。into 的逻辑也是最多最复杂的,可能需要反复阅读源码才能搞清楚。

Glide : https://github.com/bumptech/glide

version : v4.9.0

RequestBuilder

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@NonNull
public <Y extends Target<TranscodeType>> Y into(@NonNull Y target) {
return into(target, /*targetListener=*/ null, Executors.mainThreadExecutor());
}

@NonNull
@Synthetic
<Y extends Target<TranscodeType>> Y into(
@NonNull Y target,
@Nullable RequestListener<TranscodeType> targetListener,
Executor callbackExecutor) {
return into(target, targetListener, /*options=*/ this, callbackExecutor);
}

into 方法最后都会调用 into(@NonNull Y target, @Nullable RequestListener<TranscodeType> targetListener, BaseRequestOptions<?> options, Executor callbackExecutor)

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private <Y extends Target<TranscodeType>> Y into(
@NonNull Y target,
@Nullable RequestListener<TranscodeType> targetListener,
BaseRequestOptions<?> options,
Executor callbackExecutor) {
Preconditions.checkNotNull(target);
// 判断有没有调用过 load 方法
if (!isModelSet) {
throw new IllegalArgumentException("You must call #load() before calling #into()");
}
// 这里根据一堆参数会去构造图片请求 SingleRequest
Request request = buildRequest(target, targetListener, options, callbackExecutor);

Request previous = target.getRequest();
if (request.isEquivalentTo(previous)
&& !isSkipMemoryCacheWithCompletePreviousRequest(options, previous)) {
request.recycle();
// If the request is completed, beginning again will ensure the result is re-delivered,
// triggering RequestListeners and Targets. If the request is failed, beginning again will
// restart the request, giving it another chance to complete. If the request is already
// running, we can let it continue running without interruption.
if (!Preconditions.checkNotNull(previous).isRunning()) {
// Use the previous request rather than the new one to allow for optimizations like skipping
// setting placeholders, tracking and un-tracking Targets, and obtaining View dimensions
// that are done in the individual Request.
previous.begin();
}
return target;
}

requestManager.clear(target);
target.setRequest(request);
requestManager.track(target, request);

return target;
}

构造出请求 request 后,重点关注下 requestManager.track 方法,由 requestManager 来执行这个请求。

RequestManager

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synchronized void track(@NonNull Target<?> target, @NonNull Request request) {
targetTracker.track(target);
requestTracker.runRequest(request);
}

track 方法中调用了两个方法:

  1. TargetTracker.track() 方法会对当前 Target 的生命周期进行管理;
  2. RequestTracker.runRequest() 方法对当前请求进行管理;

RequestTracker

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public void runRequest(@NonNull Request request) {
requests.add(request);
if (!isPaused) {
request.begin();
} else {
request.clear();
if (Log.isLoggable(TAG, Log.VERBOSE)) {
Log.v(TAG, "Paused, delaying request");
}
pendingRequests.add(request);
}
}

当 Glide 未处于暂停状态的时候,会直接使用 Request.begin() 方法开启请求。

SingleRequest

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@Override
public synchronized void begin() {
assertNotCallingCallbacks();
stateVerifier.throwIfRecycled();
startTime = LogTime.getLogTime();
if (model == null) {
if (Util.isValidDimensions(overrideWidth, overrideHeight)) {
width = overrideWidth;
height = overrideHeight;
}
// Only log at more verbose log levels if the user has set a fallback drawable, because
// fallback Drawables indicate the user expects null models occasionally.
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 we're restarted after we're complete (usually via something like a notifyDataSetChanged
// that starts an identical request into the same Target or View), we can simply use the
// resource and size we retrieved the last time around and skip obtaining a new size, starting a
// new load etc. This does mean that users who want to restart a load because they expect that
// the view size has changed will need to explicitly clear the View or Target before starting
// the new load.
if (status == Status.COMPLETE) {
onResourceReady(resource, DataSource.MEMORY_CACHE);
return;
}

// Restarts for requests that are neither complete nor running can be treated as new requests
// and can run again from the beginning.

// 主要来看这里,之前的都是一些对请求的状态判断
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));
}
}

在 begin 方法中,重点关注下

  if (Util.isValidDimensions(overrideWidth, overrideHeight)) {
    onSizeReady(overrideWidth, overrideHeight);
  } else {
    target.getSize(this);
  }

这里会根据有没有强制设置图片宽度来分为两部分:

  • 设置了,直接调用 onSizeReady
  • 没设置,会去调用 target.getSize 。做的事情就是给 view 添加 addOnPreDrawListener 。这样的话,在绘制之前获取到了 view 的宽高,然后再回调 onSizeReady

所以,说到底,最后都是会调用 onSizeReady 的。

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@Override
public synchronized 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,
callbackExecutor);

// This is a hack that's only useful for testing right now where loads complete synchronously
// even though under any executor running on any thread but the main thread, the load would
// have completed asynchronously.
if (status != Status.RUNNING) {
loadStatus = null;
}
if (IS_VERBOSE_LOGGABLE) {
logV("finished onSizeReady in " + LogTime.getElapsedMillis(startTime));
}
}

在 onSizeReady 中将状态更改为 Status.RUNNING ,并调用 engine 的 load() 方法。

Engine

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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,
Executor callbackExecutor) {
long startTime = VERBOSE_IS_LOGGABLE ? LogTime.getLogTime() : 0;
// 构造此图片的缓存 key
EngineKey key =
keyFactory.buildKey(
model,
signature,
width,
height,
transformations,
resourceClass,
transcodeClass,
options);

EngineResource<?> memoryResource;
synchronized (this) {
memoryResource = loadFromMemory(key, isMemoryCacheable, startTime);
// 查看有没有图片缓存,如果没有的话就开启新的任务加载
if (memoryResource == null) {
return waitForExistingOrStartNewJob(
glideContext,
model,
signature,
width,
height,
resourceClass,
transcodeClass,
priority,
diskCacheStrategy,
transformations,
isTransformationRequired,
isScaleOnlyOrNoTransform,
options,
isMemoryCacheable,
useUnlimitedSourceExecutorPool,
useAnimationPool,
onlyRetrieveFromCache,
cb,
callbackExecutor,
key,
startTime);
}
}

// Avoid calling back while holding the engine lock, doing so makes it easier for callers to
// deadlock.
// 如果有的话,直接回调 SingleRequest 的 onResourceReady 方法
cb.onResourceReady(memoryResource, DataSource.MEMORY_CACHE);
return null;
}

在 load 中,Glide 会先去取缓存,当缓存中不存在的时候就准备使用新创建一个任务来加载图片。我们这里就当作是第一次加载图片了,所以跟进 waitForExistingOrStartNewJob 方法中看看。

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private <R> LoadStatus waitForExistingOrStartNewJob(
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,
Executor callbackExecutor,
EngineKey key,
long startTime) {

EngineJob<?> current = jobs.get(key, onlyRetrieveFromCache);
if (current != null) {
current.addCallback(cb, callbackExecutor);
if (VERBOSE_IS_LOGGABLE) {
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, callbackExecutor);
engineJob.start(decodeJob);

if (VERBOSE_IS_LOGGABLE) {
logWithTimeAndKey("Started new load", startTime, key);
}
return new LoadStatus(cb, engineJob);
}

上面方法中创建了两个对象,一个是 DecodeJob、一个是 EngineJob。它们之间的关系是,EngineJob 内部维护了线程池,用来管理资源加载,已经当资源加载完毕的时候通知回调。 DecodeJob 继承了 Runnable,是线程池当中的一个任务。就像上面那样,我们通过调用 engineJob.start(decodeJob) 来开始执行图片加载的任务。

EngineJob

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public synchronized void start(DecodeJob<R> decodeJob) {
this.decodeJob = decodeJob;
GlideExecutor executor =
decodeJob.willDecodeFromCache() ? diskCacheExecutor : getActiveSourceExecutor();
executor.execute(decodeJob);
}

执行 decodeJob 。所以直接看 DecodeJob 的 run 方法。

DecodeJob

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@Override
public void run() {
// This should be much more fine grained, but since Java's thread pool implementation silently
// swallows all otherwise fatal exceptions, this will at least make it obvious to developers
// that something is failing.
GlideTrace.beginSectionFormat("DecodeJob#run(model=%s)", model);
// Methods in the try statement can invalidate currentFetcher, so set a local variable here to
// ensure that the fetcher is cleaned up either way.
DataFetcher<?> localFetcher = currentFetcher;
try {
if (isCancelled) {
notifyFailed();
return;
}
runWrapped();
} catch (CallbackException e) {
// If a callback not controlled by Glide throws an exception, we should avoid the Glide
// specific debug logic below.
throw e;
} catch (Throwable t) {
// Catch Throwable and not Exception to handle OOMs. Throwables are swallowed by our
// usage of .submit() in GlideExecutor so we're not silently hiding crashes by doing this. We
// are however ensuring that our callbacks are always notified when a load fails. Without this
// notification, uncaught throwables never notify the corresponding callbacks, which can cause
// loads to silently hang forever, a case that's especially bad for users using Futures on
// background threads.
if (Log.isLoggable(TAG, Log.DEBUG)) {
Log.d(
TAG,
"DecodeJob threw unexpectedly" + ", isCancelled: " + isCancelled + ", stage: " + stage,
t);
}
// When we're encoding we've already notified our callback and it isn't safe to do so again.
if (stage != Stage.ENCODE) {
throwables.add(t);
notifyFailed();
}
if (!isCancelled) {
throw t;
}
throw t;
} finally {
// Keeping track of the fetcher here and calling cleanup is excessively paranoid, we call
// close in all cases anyway.
if (localFetcher != null) {
localFetcher.cleanup();
}
GlideTrace.endSection();
}
}

在 run 方法中,当前任务没有被取消的话,会进入到 runWrapped() 方法。

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private void runWrapped() {
switch (runReason) {
case INITIALIZE: // 一进来是 INITIALIZE 状态的
stage = getNextStage(Stage.INITIALIZE); // 获取 Stage.INITIALIZE 的下一步
currentGenerator = getNextGenerator(); // 根据获取到的 stage 来选择不同的 Generator
runGenerators(); // 运行 Generator
break;
case SWITCH_TO_SOURCE_SERVICE:
runGenerators();
break;
case DECODE_DATA:
decodeFromRetrievedData();
break;
default:
throw new IllegalStateException("Unrecognized run reason: " + runReason);
}
}

这里一开始进入的时候,runReason 是 INITIALIZE 状态的。在 getNextStage 中,因为没有图片缓存所以得到是的 Stage.SOURCE 。那么就接着到了 getNextGenerator 。

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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);
}
}

stage 是 SOURCE ,所以获取到的就是 SourceGenerator 。接着就调用 runGenerators() 。

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private void runGenerators() {
currentThread = Thread.currentThread();
startFetchTime = LogTime.getLogTime();
boolean isStarted = false;
while (!isCancelled
&& currentGenerator != null
&& !(isStarted = currentGenerator.startNext())) { // 这里执行 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.
}

会先去执行 currentGenerator.startNext() 。所以接着就跳转到 SourceGenerator.startNext() 。

SourceGenerator

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@Override
public boolean startNext() {
// 一开始肯定没有数据来缓存的,所以往下走
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()) {
// 使用 DecodeHelper 的 getLoadData() 方法从注册的映射表中找出当前的图片类型对应的 ModelLoader;
loadData = helper.getLoadData().get(loadDataListIndex++);
if (loadData != null
&& (helper.getDiskCacheStrategy().isDataCacheable(loadData.fetcher.getDataSource())
|| helper.hasLoadPath(loadData.fetcher.getDataClass()))) {
started = true;
// 这里调用 ModelLoader 中的 fetcher 去加载数据
loadData.fetcher.loadData(helper.getPriority(), this);
}
}
return started;
}

因为之前我们的想法是加载网络上的 url 图片,所以这里的 loadData 就对应着 HttpGlideUrlLoader
, fetcher 就是 HttpUrlFetcher 。

HttpUrlFetcher

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@Override
public void loadData(
@NonNull Priority priority, @NonNull DataCallback<? super InputStream> callback) {
long startTime = LogTime.getLogTime();
try {
// 在这里获取网络上的图片数据
InputStream result = loadDataWithRedirects(glideUrl.toURL(), 0, null, glideUrl.getHeaders());
// 回调 onDataReady
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));
}
}
}

loadDataWithRedirects 中会去调用 HttpURLConnection 加载网络上的图片数据。

加载完之后,会回调 onDataReady 方法。这个回调一直从 HttpUrlFetcher 中一直回调到 SourceGenerator 中。所以下面就来看看 SourceGenerator.onDataReady

SourceGenerator

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@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);
}
}

在 onDataReady 中,会去判断如果 data 不为空并且磁盘缓存可以缓存的情况下,会调用 cb.reschedule(); 。这其实是调用了 DecodeJob 的 reschedule 方法。

DecodeJob

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@Override
public void reschedule() {
runReason = RunReason.SWITCH_TO_SOURCE_SERVICE;
callback.reschedule(this);
}

在这里,设置 runReason 为 RunReason.SWITCH_TO_SOURCE_SERVICE ,这很关键,在下面代码中会用到。然后再调用 callback.reschedule(this) 。其实就是调用了 EngineJob 的 reschedule 方法。

EngineJob

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@Override
public void reschedule(DecodeJob<?> job) {
// Even if the job is cancelled here, it still needs to be scheduled so that it can clean itself
// up.
getActiveSourceExecutor().execute(job);
}

reschedule 方法摆明了就是让 DecodeJob 把 run 方法再跑一遍。之前说过,DecodeJob 的 run 方法里面大部分的逻辑其实是在 runWrapped 中的。

DecodeJob

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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);
}
}

这代码很熟悉,之前我们的流程到过这里。不同的是,之前的 runReason 是 INITIALIZE 。而现在的 runReason 是 SWITCH_TO_SOURCE_SERVICE 。

接着 SWITCH_TO_SOURCE_SERVICE 的逻辑是直接调用 runGenerators 方法。

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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.
}

这里的 currentGenerator 还是之前的 SourceGenerator ,所以还是调用 SourceGenerator.startNext 。

SourceGenerator

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@Override
public boolean startNext() {
// 不同的是,这里的 dataToCache 不再是空的了,而是之前从网络上下载获取到的 InputStream
// 所以这里会去走创建缓存的逻辑
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;
}

这次调用 SourceGenerator.startNext 其实是建立磁盘缓存,直接来看 cacheData 方法。

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private void cacheData(Object dataToCache) {
long startTime = LogTime.getLogTime();
try {
// 建立缓存
Encoder<Object> encoder = helper.getSourceEncoder(dataToCache);
DataCacheWriter<Object> writer =
new DataCacheWriter<>(encoder, dataToCache, helper.getOptions());
originalKey = new DataCacheKey(loadData.sourceKey, helper.getSignature());
helper.getDiskCache().put(originalKey, writer);
if (Log.isLoggable(TAG, Log.VERBOSE)) {
Log.v(
TAG,
"Finished encoding source to cache"
+ ", key: "
+ originalKey
+ ", data: "
+ dataToCache
+ ", encoder: "
+ encoder
+ ", duration: "
+ LogTime.getElapsedMillis(startTime));
}
} finally {
loadData.fetcher.cleanup();
}
// 注意,这里 sourceCacheGenerator 创建一个对象,所以 sourceCacheGenerator 不再是 null
sourceCacheGenerator =
new DataCacheGenerator(Collections.singletonList(loadData.sourceKey), helper, this);
}

这里的主要逻辑是构建一个用于将数据缓存到磁盘上面的 DataCacheGenerator。DataCacheGenerator 的流程基本与 SourceGenerator 一致,也就是根据资源文件的类型找到 ModelLoader,然后使用 DataFetcher 加载缓存的资源。与之前不同的是,这次是用 DataFecher 来加载 File 类型的资源。也就是说,当我们从网络中拿到了数据之后 Glide 会先将其缓存到磁盘上面,然后再从磁盘上面读取图片并将其显示到控件上面。所以,当从网络打开了输入流之后 SourceGenerator 的任务基本结束了,而后的显示的任务都由 DataCacheGenerator 来完成。

再回过头来看看 SourceGenerator.startNext 方法,在 cacheData 后面会对 sourceCacheGenerator 进行判断。由于上面已经把 sourceCacheGenerator 对象 new 出来了。所以接着就直接走 DataCacheGenerator 的 startNext 方法了。所以上面这段话就很好理解了。

  if (sourceCacheGenerator != null && sourceCacheGenerator.startNext()) {
    return true;
  }

那么,这里我们对 DataCacheGenerator 的逻辑就省略了。DataCacheGenerator 中的流程最终会走到
ByteBufferFetcher 。

之前的 SourceGenerator 对应着 HttpUrlFetcher ,而 DataCacheGenerator 对应着 ByteBufferFetcher 。

ByteBufferFetcher

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@Override
public void loadData(
@NonNull Priority priority, @NonNull DataCallback<? super ByteBuffer> callback) {
ByteBuffer result;
try {
// 把图片的字节流再从磁盘缓存中读取出来
result = ByteBufferUtil.fromFile(file);
} catch (IOException e) {
if (Log.isLoggable(TAG, Log.DEBUG)) {
Log.d(TAG, "Failed to obtain ByteBuffer for file", e);
}
callback.onLoadFailed(e);
return;
}
// 回调给 DataCacheGenerator 的 onDataReady 方法
callback.onDataReady(result);
}

磁盘缓存好之后,再从文件中读取图片的字节流。回调给 DataCacheGenerator

DataCacheGenerator

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@Override
public void onDataReady(Object data) {
cb.onDataFetcherReady(sourceKey, data, loadData.fetcher, DataSource.DATA_DISK_CACHE, sourceKey);
}

DataCacheGenerator 会回调 DecodeJob 的 onDataFetcherReady 方法。

DecodeJob

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@Override
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 {
GlideTrace.beginSection("DecodeJob.decodeFromRetrievedData");
try {
decodeFromRetrievedData();
} finally {
GlideTrace.endSection();
}
}
}

runReason 已经改成 RunReason.DECODE_DATA ,说明已经进行到解码图片数据的环节了。

接着调用 decodeFromRetrievedData 。

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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);
}
// 图片资源获取到后,通知已经任务完成
if (resource != null) {
notifyEncodeAndRelease(resource, currentDataSource);
} else {
runGenerators();
}
}

这里我们可以看下,当 resource 最终获取到后,是通过 notifyEncodeAndRelease 来通知任务完成的。这在后面的代码解析中会讲到。

现在,我们就来看看关键的逻辑,接着调用 decodeFromData 。

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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();
}
}

调用 decodeFromFetcher 方法。

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@SuppressWarnings("unchecked")
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);
}

调用了 runLoadPath 。

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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();
}
}

调用 path.load 方法。

LoadPath

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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 loadWithExceptionList 方法。

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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;
}

然后会调用 DecodePath 的 decode 方法。

DecodePath

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public Resource<Transcode> decode(
DataRewinder<DataType> rewinder,
int width,
int height,
@NonNull Options options,
DecodeCallback<ResourceType> callback)
throws GlideException {
Resource<ResourceType> decoded = decodeResource(rewinder, width, height, options);
Resource<ResourceType> transformed = callback.onResourceDecoded(decoded);
return transcoder.transcode(transformed, options);
}

在 decode 中做了三件事:

  1. decodeResource 将原始数据转换成我们原始图片的过程;
  2. callback.onResourceDecoded 是当得到了原始图片之后对图片继续处理过程;
  3. transcoder.transcode 会使用 BitmapDrawableTranscoder 包装一层,即对 Drawable 进行延迟初始化处理。

那么我们接着跟进 decodeResource 方法。

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@NonNull
private Resource<ResourceType> decodeResource(
DataRewinder<DataType> rewinder, int width, int height, @NonNull Options options)
throws GlideException {
List<Throwable> exceptions = Preconditions.checkNotNull(listPool.acquire());
try {
return decodeResourceWithList(rewinder, width, height, options, exceptions);
} finally {
listPool.release(exceptions);
}
}

主要逻辑在 decodeResourceWithList 中。

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@NonNull
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;
}

ResourceDecoder 具有多个实现类,比如 BitmapDrawableDecoder、ByteBufferBitmapDecoder等。从名字也可以看出来是用来将一个类型转换成另一个类型的。

在这里会使用 ByteBufferBitmapDecoder 来将 ByteBuffer 专成 Bitmap 。

ByteBufferBitmapDecoder

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@Override
public Resource<Bitmap> decode(
@NonNull ByteBuffer source, int width, int height, @NonNull Options options)
throws IOException {
InputStream is = ByteBufferUtil.toStream(source);
return downsampler.decode(is, width, height, options);
}

它最终会在 Downsampler 的 decodeStream() 方法中调用 BitmapFactory 的 decodeStream() 方法来从输入流中得到 Bitmap。

在 Downsampler 内部还会维持一个 BitmapPool ,用来复用 Bitmap 。

接下来,就来看看上面 callback.onResourceDecoded 的逻辑。callback.onResourceDecoded 会调用 DecodeJob.onResourceDecoded 方法。

DecodeJob

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@Synthetic
@NonNull
<Z> Resource<Z> onResourceDecoded(DataSource dataSource, @NonNull Resource<Z> decoded) {
@SuppressWarnings("unchecked")
Class<Z> resourceSubClass = (Class<Z>) decoded.get().getClass();
Transformation<Z> appliedTransformation = null;
Resource<Z> transformed = decoded;
if (dataSource != DataSource.RESOURCE_DISK_CACHE) {
appliedTransformation = decodeHelper.getTransformation(resourceSubClass);
transformed = appliedTransformation.transform(glideContext, decoded, width, height);
}
// TODO: Make this the responsibility of the Transformation.
if (!decoded.equals(transformed)) {
decoded.recycle();
}

final EncodeStrategy encodeStrategy;
final ResourceEncoder<Z> encoder;
if (decodeHelper.isResourceEncoderAvailable(transformed)) {
encoder = decodeHelper.getResultEncoder(transformed);
encodeStrategy = encoder.getEncodeStrategy(options);
} else {
encoder = null;
encodeStrategy = EncodeStrategy.NONE;
}

Resource<Z> result = transformed;
boolean isFromAlternateCacheKey = !decodeHelper.isSourceKey(currentSourceKey);
if (diskCacheStrategy.isResourceCacheable(
isFromAlternateCacheKey, dataSource, encodeStrategy)) {
if (encoder == null) {
throw new Registry.NoResultEncoderAvailableException(transformed.get().getClass());
}
final Key key;
switch (encodeStrategy) {
case SOURCE:
key = new DataCacheKey(currentSourceKey, signature);
break;
case TRANSFORMED:
key =
new ResourceCacheKey(
decodeHelper.getArrayPool(),
currentSourceKey,
signature,
width,
height,
appliedTransformation,
resourceSubClass,
options);
break;
default:
throw new IllegalArgumentException("Unknown strategy: " + encodeStrategy);
}

LockedResource<Z> lockedResult = LockedResource.obtain(transformed);
deferredEncodeManager.init(key, encoder, lockedResult);
result = lockedResult;
}
return result;
}

主要的逻辑是根据我们设置的参数进行变化。也就是说,如果我们使用了 centerCrop 等参数,那么这里将会对其进行处理。这里的 Transformation 是一个接口,它的一系列的实现都是对应于 scaleType 等参数的。

到了这里, Glide 所有加载图片、处理图片的逻辑都讲完了。剩下的,就是将图片显示到 ImageView 上面了。

我们再回过头来看之前讲到 DecodeJob.notifyEncodeAndRelease 方法

DecodeJob

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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();
}

来看 notifyComplete(result, dataSource); 方法

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private void notifyComplete(Resource<R> resource, DataSource dataSource) {
setNotifiedOrThrow();
callback.onResourceReady(resource, dataSource);
}

回调 EngineJob 的 onResourceReady 方法。

EngineJob

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@Override
public void onResourceReady(Resource<R> resource, DataSource dataSource) {
synchronized (this) {
this.resource = resource;
this.dataSource = dataSource;
}
notifyCallbacksOfResult();
}

关键在 notifyCallbacksOfResult 中。

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@Synthetic
void notifyCallbacksOfResult() {
ResourceCallbacksAndExecutors copy;
Key localKey;
EngineResource<?> localResource;
synchronized (this) {
stateVerifier.throwIfRecycled();
if (isCancelled) {
// TODO: Seems like we might as well put this in the memory cache instead of just recycling
// it since we've gotten this far...
resource.recycle();
release();
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, key, resourceListener);
// Hold on to resource for duration of our callbacks below so we don't recycle it in the
// middle of notifying if it synchronously released by one of the callbacks. Acquire it under
// a lock here so that any newly added callback that executes before the next locked section
// below can't recycle the resource before we call the callbacks.
hasResource = true;
copy = cbs.copy();
incrementPendingCallbacks(copy.size() + 1);

localKey = key;
localResource = engineResource;
}

engineJobListener.onEngineJobComplete(this, localKey, localResource);

for (final ResourceCallbackAndExecutor entry : copy) {
entry.executor.execute(new CallResourceReady(entry.cb));
}
decrementPendingCallbacks();
}

在代码的最后,

 	for (final ResourceCallbackAndExecutor entry : copy) {
    entry.executor.execute(new CallResourceReady(entry.cb));
  }

可以看到这里会执行 CallResourceReady 。

CallResourceReady

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private class CallResourceReady implements Runnable {

private final ResourceCallback cb;

CallResourceReady(ResourceCallback cb) {
this.cb = cb;
}

@Override
public void run() {
// Make sure we always acquire the request lock, then the EngineJob lock to avoid deadlock
// (b/136032534).
synchronized (cb) {
synchronized (EngineJob.this) {
if (cbs.contains(cb)) {
// Acquire for this particular callback.
engineResource.acquire();
callCallbackOnResourceReady(cb);
removeCallback(cb);
}
decrementPendingCallbacks();
}
}
}
}


@Synthetic
@GuardedBy("this")
void callCallbackOnResourceReady(ResourceCallback cb) {
try {
// This is overly broad, some Glide code is actually called here, but it's much
// simpler to encapsulate here than to do so at the actual call point in the
// Request implementation.
cb.onResourceReady(engineResource, dataSource);
} catch (Throwable t) {
throw new CallbackException(t);
}
}

最后还是用回调调用了 SingleRequest 的 onResourceReady 方法。

SingleRequest

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@Override
public synchronized 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);
}

最后调用 onResourceReady((Resource) resource, (R) received, dataSource);

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private synchronized 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 {
boolean anyListenerHandledUpdatingTarget = false;
if (requestListeners != null) {
for (RequestListener<R> listener : requestListeners) {
anyListenerHandledUpdatingTarget |=
listener.onResourceReady(result, model, target, dataSource, isFirstResource);
}
}
anyListenerHandledUpdatingTarget |=
targetListener != null
&& targetListener.onResourceReady(result, model, target, dataSource, isFirstResource);
// 重点在这里!!!!
if (!anyListenerHandledUpdatingTarget) {
Transition<? super R> animation = animationFactory.build(dataSource, isFirstResource);
target.onResourceReady(result, animation);
}
} finally {
isCallingCallbacks = false;
}

notifyLoadSuccess();
}

发现上面的代码调用了 target.onResourceReady(result, animation);

这里的 target 一般都是 ImageViewTarget 。ImageViewTarget 是个抽象类。

ImageViewTarget

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@Override
public void onResourceReady(@NonNull Z resource, @Nullable Transition<? super Z> transition) {
if (transition == null || !transition.transition(resource, this)) {
setResourceInternal(resource);
} else {
maybeUpdateAnimatable(resource);
}
}

private void setResourceInternal(@Nullable Z resource) {
// Order matters here. Set the resource first to make sure that the Drawable has a valid and
// non-null Callback before starting it.
setResource(resource);
maybeUpdateAnimatable(resource);
}

setResource(resource) 是抽象方法,我们到子类中看看。我们挑 DrawableImageViewTarget 来看看吧。

DrawableImageViewTarget

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@Override
protected void setResource(@Nullable Drawable resource) {
view.setImageDrawable(resource);
}

终于,我们看到了 ImageView.setImageDrawable 来显示图片了,不容易啊。