Volley源码分析
来源:互联网 发布:学java跟不上 编辑:程序博客网 时间:2024/06/03 04:41
在进行网络请求时,相信大家都用过Volley,Volley是Google推出来的网络访问框架,它内部仅仅是对HttpUrlConnection和HttpClient的进一步封装,使得网络请求变得简单,而且非常适合频繁的小数量数据的网络请求,使用起来非常简单,三句话就可以搞定网络请求,仅仅会使用还不行,现在我就来带你分析一下Volley的实现原理。先看看使用
//创建请求队列
RequestQueue queue = Volley.newRequestQueue(getApplication()); //创建请求 StringRequest request = new StringRequest(path, new Response.Listener<String>() { @Override public void onResponse(String response) { //请求成功 } }, new Response.ErrorListener() { @Override public void onErrorResponse(VolleyError error) { //请求失败 } });
//添加请求队列queue.add(request);以上就是Volley的网络请求,非常简单。首先我们来看看第一句话,使用Volley类的newRequestQueue()返回RequestQueue对象,我们跟踪代码
public static RequestQueue newRequestQueue(Context context) { return newRequestQueue(context, null); }
public static RequestQueue newRequestQueue(Context context, HttpStack stack) { return newRequestQueue(context, stack, -1); }
public static RequestQueue newRequestQueue(Context context, HttpStack stack, int maxDiskCacheBytes) { File cacheDir = new File(context.getCacheDir(), DEFAULT_CACHE_DIR); String userAgent = "volley/0"; try { String packageName = context.getPackageName(); PackageInfo info = context.getPackageManager().getPackageInfo(packageName, 0); userAgent = packageName + "/" + info.versionCode; } catch (NameNotFoundException e) { } if (stack == null) { if (Build.VERSION.SDK_INT >= 9) { stack = new HurlStack(); } else { // Prior to Gingerbread, HttpUrlConnection was unreliable. // See: http://android-developers.blogspot.com/2011/09/androids-http-clients.html stack = new HttpClientStack(AndroidHttpClient.newInstance(userAgent)); } } Network network = new BasicNetwork(stack); RequestQueue queue; if (maxDiskCacheBytes <= -1) { // No maximum size specified queue = new RequestQueue(new DiskBasedCache(cacheDir), network); } else { // Disk cache size specified queue = new RequestQueue(new DiskBasedCache(cacheDir, maxDiskCacheBytes), network); } queue.start(); return queue; }我们可以看到还有第二个参数HttpStack和第三个参数int,HttpStack是对网络请求的API的进一步的封装,如果要将OkHttp封装到Volley中,只要将其封装到HttpStack中即可,要想其支持Https请求,请看:http://blog.csdn.net/cj_286/article/details/55195272,maxDiskCacheBytes是缓存的大小,单位是byte,如果不设置默认是5 * 1024 * 1024。如果当前SDK版本大于等于9的时候,网络请求HttpStack封装的是HttpUrlConnection,SDK版本小于9的时候,网络请求HttpStack封装的是HttpClient。Network network = new BasicNetwork(stack);是对HttpStack的进一步封装,封装成Network对象。
public interface Network { /** * Performs the specified request. * @param request Request to process * @return A {@link NetworkResponse} with data and caching metadata; will never be null * @throws VolleyError on errors */ public NetworkResponse performRequest(Request<?> request) throws VolleyError;}用于网络请求的框架有了,下面就是创建一个请求队列,用于存放网络请求的Request。queue = new RequestQueue(new DiskBasedCache(cacheDir, maxDiskCacheBytes), network);
public RequestQueue(Cache cache, Network network, int threadPoolSize) { this(cache, network, threadPoolSize, new ExecutorDelivery(new Handler(Looper.getMainLooper()))); }
public RequestQueue(Cache cache, Network network, int threadPoolSize, ResponseDelivery delivery) { mCache = cache;//网络缓存 new DiskBasedCache(cacheDir) mNetwork = network;//网络请求框架 mDispatchers = new NetworkDispatcher[threadPoolSize];//用于网络请求的线程Thread,只有4个 mDelivery = delivery;//响应数据时,将子线程切换到主线程 }mDelivery = new ExecutorDelivery(new Handler(Looper.getMainLooper()))用于响应分发请求的响应数据,主要是从工作线程切换到UI线程。原理也是使用的Handler.
public class ExecutorDelivery implements ResponseDelivery { /** Used for posting responses, typically to the main thread. */ private final Executor mResponsePoster; /** * Creates a new response delivery interface. * @param handler {@link Handler} to post responses on */ public ExecutorDelivery(final Handler handler) { // Make an Executor that just wraps the handler. mResponsePoster = new Executor() { @Override public void execute(Runnable command) { handler.post(command); } }; }......}queue.start();启动线程。
public void start() { stop(); // Make sure any currently running dispatchers are stopped. // Create the cache dispatcher and start it. mCacheDispatcher = new CacheDispatcher(mCacheQueue, mNetworkQueue, mCache, mDelivery); mCacheDispatcher.start(); // Create network dispatchers (and corresponding threads) up to the pool size. for (int i = 0; i < mDispatchers.length; i++) { NetworkDispatcher networkDispatcher = new NetworkDispatcher(mNetworkQueue, mNetwork, mCache, mDelivery); mDispatchers[i] = networkDispatcher; networkDispatcher.start(); } }首先开启线程前,先执行以下停止操作,防止之前有在运行。
public void stop() { if (mCacheDispatcher != null) { mCacheDispatcher.quit(); } for (int i = 0; i < mDispatchers.length; i++) { if (mDispatchers[i] != null) { mDispatchers[i].quit(); } } }mCacheDispatcher和mDispatcher都是Thread,CacheDispatcher extends Thread ,NetworkDispatcher extends Thread,用于缓存的读取和网络请求。 mCacheDispatcher = new CacheDispatcher(mCacheQueue, mNetworkQueue, mCache, mDelivery); mCacheDispatcher.start();开启线程,在看看线程的run方法
public void run() { if (DEBUG) VolleyLog.v("start new dispatcher"); Process.setThreadPriority(Process.THREAD_PRIORITY_BACKGROUND); // Make a blocking call to initialize the cache. mCache.initialize(); Request<?> request; while (true) { // release previous request object to avoid leaking request object when mQueue is drained. request = null; try { // Take a request from the queue. request = mCacheQueue.take(); } catch (InterruptedException e) { // We may have been interrupted because it was time to quit. if (mQuit) { return; } continue; } try { request.addMarker("cache-queue-take"); // If the request has been canceled, don't bother dispatching it. if (request.isCanceled()) { request.finish("cache-discard-canceled"); continue; } // Attempt to retrieve this item from cache. Cache.Entry entry = mCache.get(request.getCacheKey()); if (entry == null) { request.addMarker("cache-miss"); // Cache miss; send off to the network dispatcher. mNetworkQueue.put(request); continue; } // If it is completely expired, just send it to the network. if (entry.isExpired()) { request.addMarker("cache-hit-expired"); request.setCacheEntry(entry); mNetworkQueue.put(request); continue; } // We have a cache hit; parse its data for delivery back to the request. request.addMarker("cache-hit"); Response<?> response = request.parseNetworkResponse( new NetworkResponse(entry.data, entry.responseHeaders)); request.addMarker("cache-hit-parsed"); if (!entry.refreshNeeded()) { // Completely unexpired cache hit. Just deliver the response. mDelivery.postResponse(request, response); } else { // Soft-expired cache hit. We can deliver the cached response, // but we need to also send the request to the network for // refreshing. request.addMarker("cache-hit-refresh-needed"); request.setCacheEntry(entry); // Mark the response as intermediate. response.intermediate = true; // Post the intermediate response back to the user and have // the delivery then forward the request along to the network. final Request<?> finalRequest = request; mDelivery.postResponse(request, response, new Runnable() { @Override public void run() { try { mNetworkQueue.put(finalRequest); } catch (InterruptedException e) { // Not much we can do about this. } } }); } } catch (Exception e) { VolleyLog.e(e, "Unhandled exception %s", e.toString()); } } }mCache.initialize();是初始化缓存,将本地缓存读取到内存中。
public synchronized void initialize() { if (!mRootDirectory.exists()) { if (!mRootDirectory.mkdirs()) { VolleyLog.e("Unable to create cache dir %s", mRootDirectory.getAbsolutePath()); } return; } File[] files = mRootDirectory.listFiles(); if (files == null) { return; } for (File file : files) { BufferedInputStream fis = null; try { fis = new BufferedInputStream(new FileInputStream(file)); CacheHeader entry = CacheHeader.readHeader(fis); entry.size = file.length(); putEntry(entry.key, entry); } catch (IOException e) { if (file != null) { file.delete(); } } finally { try { if (fis != null) { fis.close(); } } catch (IOException ignored) { } } } }mCacheQueue是PriorityBlockingQueue<Request<?>>对象,PriorityBlockingQueue是阻塞队列,take()方法是阻塞方法,在BlockingQueue队列中有数据时才会获取,如果没有数据时就会等待,直到队列中有数据为止,Volley也是利用可java的BlockingQueue的这点特性,将复杂的问题简单化。让Cache Thread不断的去读取缓存队列的的请求数据,一旦缓存队列中有请求数据时,就获取Request,查看其有没有被取消,如果取消就继续去读取下一个Request。
if (request.isCanceled()) { request.finish("cache-discard-canceled"); continue; }
查看本地缓存中是否有该请求,如果没有就将其Request添加到Network Queue,网络队列和缓存队列一样,都是PriorityBlockingQueue类型,然后继续读取下一个Request。
Cache.Entry entry = mCache.get(request.getCacheKey()); if (entry == null) { request.addMarker("cache-miss"); // Cache miss; send off to the network dispatcher. mNetworkQueue.put(request); continue; }如果有缓存,看这缓存是否过期,如果过期了,就将其Request添加到Network Queue.
if (entry.isExpired()) { request.addMarker("cache-hit-expired"); request.setCacheEntry(entry); mNetworkQueue.put(request); continue; }如果没有过期就将其缓存中的数据封装成Response对象
Response<?> response = request.parseNetworkResponse( new NetworkResponse(entry.data, entry.responseHeaders));然后将其响应体给调用者的成功监听
mDelivery.postResponse(request, response);调用ExecutorDelivery的postResponse去在UI线程中去调用Request中的成功监听,
public void postResponse(Request<?> request, Response<?> response, Runnable runnable) { request.markDelivered(); request.addMarker("post-response"); mResponsePoster.execute(new ResponseDeliveryRunnable(request, response, runnable)); }mResponsePoster.execute()就是将任务通过Handler放到UI线程中去执行
mResponsePoster = new Executor() { @Override public void execute(Runnable command) { handler.post(command); } };成功监听的回调就是在ResponseDelivery中实现的
private class ResponseDeliveryRunnable implements Runnable { private final Request mRequest; private final Response mResponse; private final Runnable mRunnable; public ResponseDeliveryRunnable(Request request, Response response, Runnable runnable) { mRequest = request; mResponse = response; mRunnable = runnable; } @SuppressWarnings("unchecked") @Override public void run() { // If this request has canceled, finish it and don't deliver. if (mRequest.isCanceled()) { mRequest.finish("canceled-at-delivery"); return; } // Deliver a normal response or error, depending. if (mResponse.isSuccess()) { mRequest.deliverResponse(mResponse.result); } else { mRequest.deliverError(mResponse.error); } // If this is an intermediate response, add a marker, otherwise we're done // and the request can be finished. if (mResponse.intermediate) { mRequest.addMarker("intermediate-response"); } else { mRequest.finish("done"); } // If we have been provided a post-delivery runnable, run it. if (mRunnable != null) { mRunnable.run(); } } }再次的去判断是否被取消,如果请求成功就回调Request上的成功的监听,失败就回调失败的监听。
if (mResponse.isSuccess()) { mRequest.deliverResponse(mResponse.result); } else { mRequest.deliverError(mResponse.error); }到这里如果有网络缓存的处理过程分析玩了,那么没有缓存呢,还记得之前CacherDispatcher的run方法中,如果没有缓存和缓存过期就会将Request添加到mNetworkQueue队列中去。然后我们在回到RequestQueue的start()方法中,开启缓存线程之后,有开启了4个网络请求线程,主要任务就是不断的读取mNetworkQueue中的Request用于网络请求。
for (int i = 0; i < mDispatchers.length; i++) { NetworkDispatcher networkDispatcher = new NetworkDispatcher(mNetworkQueue, mNetwork, mCache, mDelivery); mDispatchers[i] = networkDispatcher; networkDispatcher.start(); }
我们分析一下NetworkDispatcher中的run()方法
public void run() { Process.setThreadPriority(Process.THREAD_PRIORITY_BACKGROUND); Request<?> request; while (true) { long startTimeMs = SystemClock.elapsedRealtime(); // release previous request object to avoid leaking request object when mQueue is drained. request = null; try { // Take a request from the queue. request = mQueue.take(); } catch (InterruptedException e) { // We may have been interrupted because it was time to quit. if (mQuit) { return; } continue; } try { request.addMarker("network-queue-take"); // If the request was cancelled already, do not perform the // network request. if (request.isCanceled()) { request.finish("network-discard-cancelled"); continue; } addTrafficStatsTag(request); // Perform the network request. NetworkResponse networkResponse = mNetwork.performRequest(request); request.addMarker("network-http-complete"); // If the server returned 304 AND we delivered a response already, // we're done -- don't deliver a second identical response. if (networkResponse.notModified && request.hasHadResponseDelivered()) { request.finish("not-modified"); continue; } // Parse the response here on the worker thread. Response<?> response = request.parseNetworkResponse(networkResponse); request.addMarker("network-parse-complete"); // Write to cache if applicable. // TODO: Only update cache metadata instead of entire record for 304s. if (request.shouldCache() && response.cacheEntry != null) { mCache.put(request.getCacheKey(), response.cacheEntry); request.addMarker("network-cache-written"); } // Post the response back. request.markDelivered(); mDelivery.postResponse(request, response); } catch (VolleyError volleyError) { volleyError.setNetworkTimeMs(SystemClock.elapsedRealtime() - startTimeMs); parseAndDeliverNetworkError(request, volleyError); } catch (Exception e) { VolleyLog.e(e, "Unhandled exception %s", e.toString()); VolleyError volleyError = new VolleyError(e); volleyError.setNetworkTimeMs(SystemClock.elapsedRealtime() - startTimeMs); mDelivery.postError(request, volleyError); } } }request = mQueue.take();读取Request请求,然后看时候被取消,如果没有就发起真正的网络请求。
// Perform the network request.NetworkResponse networkResponse = mNetwork.performRequest(request);Network是将网络请求进行了封装,在performRequest()中调用的真正的网络API进行了网络请求,然后将网络返回的数据封装成NetworkResponse返回。
如果服务器返回304年和我们已经发表了回应,就别提供第二个相同的反应。
if (networkResponse.notModified && request.hasHadResponseDelivered()) { request.finish("not-modified"); continue; }如果不存在以上的情况就将网络请求下来的数据封装成Response类型
Response<?> response = request.parseNetworkResponse(networkResponse);如果需要缓存就将其缓存起来
if (request.shouldCache() && response.cacheEntry != null) { mCache.put(request.getCacheKey(), response.cacheEntry);//getCacheKey()-->mMethod + ":" + mUrl;请求方式+url request.addMarker("network-cache-written"); }然后将其发送到成功的请求监听中去
// Post the response back. request.markDelivered(); mDelivery.postResponse(request, response);然后这个就和缓存的响应步骤一样了
public void postResponse(Request<?> request, Response<?> response) { postResponse(request, response, null); } @Override public void postResponse(Request<?> request, Response<?> response, Runnable runnable) { request.markDelivered(); request.addMarker("post-response"); mResponsePoster.execute(new ResponseDeliveryRunnable(request, response, runnable)); }
mResponsePoster = new Executor() { @Override public void execute(Runnable command) { handler.post(command); } };到这里缓存和网络请求都说完了,但是这只是执行newRequestQueue()方法后Volley内部所做的事情,但是这时mCacheQueue和mNetworkQueue中并没有Request数据,我们还没有添加。接下来我们会创建我们自己的Request对象
StringRequest request = new StringRequest(path, new Response.Listener<String>() { @Override public void onResponse(String response) { } }, new Response.ErrorListener() { @Override public void onErrorResponse(VolleyError error) { } });这个StringRequest是Volley提供的,我们也可以重写Request类来定义属于我们的请求方式。
接下来就是要将Request添加到RequestQueue中。queue.add(request);
public <T> Request<T> add(Request<T> request) { // Tag the request as belonging to this queue and add it to the set of current requests. request.setRequestQueue(this);//将RequestQueue设置到request中 synchronized (mCurrentRequests) { mCurrentRequests.add(request); } // Process requests in the order they are added. request.setSequence(getSequenceNumber()); request.addMarker("add-to-queue"); // If the request is uncacheable, skip the cache queue and go straight to the network. if (!request.shouldCache()) { mNetworkQueue.add(request); return request; } // Insert request into stage if there's already a request with the same cache key in flight. synchronized (mWaitingRequests) { String cacheKey = request.getCacheKey(); if (mWaitingRequests.containsKey(cacheKey)) { // There is already a request in flight. Queue up. Queue<Request<?>> stagedRequests = mWaitingRequests.get(cacheKey); if (stagedRequests == null) { stagedRequests = new LinkedList<Request<?>>(); } stagedRequests.add(request); mWaitingRequests.put(cacheKey, stagedRequests); if (VolleyLog.DEBUG) { VolleyLog.v("Request for cacheKey=%s is in flight, putting on hold.", cacheKey); } } else { // Insert 'null' queue for this cacheKey, indicating there is now a request in // flight. mWaitingRequests.put(cacheKey, null); mCacheQueue.add(request); } return request; } }mCurrentRequests是Set集合,用于存储正在处理的Requset请求,为什么要存储起来呢,为了方便管理,比如要取消所有的请求,就可以遍历这个集合去取消网络请求。
如果请求已经设为不需要缓存,就直接将其添加到mNetworkQueue中去,直接进行网络请求,无需添加到mCacheQueue中去,查看是否有缓存了。
if (!request.shouldCache()) { mNetworkQueue.add(request); return request; }mWaitingRequests是Map<String, Queue<Request<?>>>集合,为什么需要此集合呢,它主要是避免相同的网络请求多次执行,如果相同的网络我请求的3次,我没有必要真正的去发起三次请求,因为三次的请求相同,没有必要,因为三次的请求结果是相同的。比如我这时来了三次相同的请求,第一次请求时判断mWaitingRequests中是否有该请求mWaitingRequests.containsKey(cacheKey),如果没有(第一次肯定没有)走else分支,将其添加到mWaitingRequests集合和mCacheQueue队列中。
mWaitingRequests.put(cacheKey, null); mCacheQueue.add(request);第二次请求来时mWaitingRequests.containsKey(cacheKey)返回ture,走if分支,将第二次请求添加到Queue等待队列中去,当然第三次的请求也会被添加到等待队列中去。那么等待队列中的请求何时执行呢,我们还记得NetworkDispatcher网络请求中的request.finish(String)方法吗,该方法中会调用mRequestQueue.finish(this);方法,我们看看此方法,这时会将等待队列中的请求获取出来添加到缓存队列中去,因为这是此请求已经有缓存了,从而避免了三次相同的网络请求发起不必要的请求。
<T> void finish(Request<T> request) { // Remove from the set of requests currently being processed. synchronized (mCurrentRequests) { mCurrentRequests.remove(request);//将request从但前任务重移除 } synchronized (mFinishedListeners) { for (RequestFinishedListener<T> listener : mFinishedListeners) { listener.onRequestFinished(request); } } if (request.shouldCache()) { synchronized (mWaitingRequests) { String cacheKey = request.getCacheKey(); Queue<Request<?>> waitingRequests = mWaitingRequests.remove(cacheKey);//将此请求从等待队列中移除 if (waitingRequests != null) { if (VolleyLog.DEBUG) { VolleyLog.v("Releasing %d waiting requests for cacheKey=%s.", waitingRequests.size(), cacheKey); } // Process all queued up requests. They won't be considered as in flight, but // that's not a problem as the cache has been primed by 'request'. mCacheQueue.addAll(waitingRequests);//添加到缓存队列中去 } } } }
到这里Volley的网络请求源码已经分析完了。其实就是Cache Thread和Network Thread不断的获取mCacheQueue和mNetworkQueue中的Request,因为mCacheQueue和mNetworkQueue都是阻塞队列,只有队列中有数据的时候才会去获取,没有数据的时候就会等待,只要有数据为止。Volley巧妙地利用了java的BlockingQueue的这个特点,完美的实现Request的添加与获取,简化了代码的实现。以下附上分析图
0 0
- Android-Volley源码分析
- [Android]volley源码分析
- Volley源码分析
- Volley源码分析
- Volley源码分析
- Volley -- 源码分析
- Android-Volley源码分析
- Volley源码流程分析
- Volley源码分析
- Volley源码个人分析
- Volley框架源码分析
- Volley源码分析一
- Volley 源码分析
- Volley源码分析二
- volley源码分析
- volley源码分析
- Volley(2)源码分析
- Volley 源码分析
- L1-030. 一帮一
- 1.1. Implementing a RouteBuilder Class
- mysqldump导入导出数据库总结;MySQLDump在使用之前一定要想到的事情
- Calculate the expression
- 模拟ls -l命令简易代码demo
- Volley源码分析
- qq项目,,实现了加好友,,和单聊,,
- 在学习zookeeper时候遇见了log4j错误No appenders could be found for logger
- Centos 6 下配置nginx 反向代理Google
- Python实现简单网络爬虫--转自极客头条
- Mac下安装Memcache
- Python如何搜索模块
- Mvp模式在Android开发中的应用
- PhpStorm上解决move_uploaded_file函数open失败的问题 图文教程