Okhttp3源码解析
首先是Okhttp的使用:
//缓存文件夹
File cacheFile = new File(getExternalCacheDir().toString(), "cache");
//缓存大小为10M
int cacheSize = 10 * 1024 * 1024;
//创建缓存对象
Cache cache = new Cache(cacheFile, cacheSize);
OkHttpClient client = new OkHttpClient
.Builder()
//.addInterceptor(new LoggingInterceptor())//日志拦截器
.cache(cache)
.build();
Request request = new Request.Builder()
.url("http://www.baidu.com")
.build();
client.newCall(request).enqueue(new Callback() {
@Override
public void onFailure(Call call, IOException e) {
Log.d("OkHttp", "Call Failed:" + e.getMessage());
} @Override
public void onResponse(Call call, Response response) throws IOException {
Log.d("OkHttp", "Call succeeded:" + response.message());
}
});
先来看一下Request包含的有通讯的信息
url:发起通讯的地址
method:通讯方式
public final class Request {
final HttpUrl url;
final String method;
final Headers headers;
final RequestBody body;
final Object tag; private volatile CacheControl cacheControl; // Lazily initialized. Request(Builder builder) {
this.url = builder.url;
this.method = builder.method;
this.headers = builder.headers.build();
this.body = builder.body;
this.tag = builder.tag != null ? builder.tag : this;
}
主体流程
下面我们先来摸清这个框架的主干部分,刚开始看的时候,先沿一条线下来,细枝末节先不要太关心:
我们来看看newCall:
client.newCall(request).enqueue(new Callback() { @Override public Call newCall(Request request) {
return new RealCall(this, request, false /* for web socket */);
} final class RealCall implements Call { RealCall(OkHttpClient client, Request originalRequest, boolean forWebSocket) {
final EventListener.Factory eventListenerFactory = client.eventListenerFactory(); this.client = client;
this.originalRequest = originalRequest;
this.forWebSocket = forWebSocket;
this.retryAndFollowUpInterceptor = new RetryAndFollowUpInterceptor(client, forWebSocket); // TODO(jwilson): this is unsafe publication and not threadsafe.
this.eventListener = eventListenerFactory.create(this);
}
可以看出:Call是一个接口,而RealCall是Call的一个具体实现。client.newCall(request)里面是生成一个RealCall的实例
Recall同时持有client和request,
所以:
client.newCall(request).enqueue(new Callback() {
实际上执行到的是RealCall的enqueue:
@Override public void enqueue(Callback responseCallback) {
synchronized (this) {
if (executed) throw new IllegalStateException("Already Executed");
executed = true;
}
captureCallStackTrace();
client.dispatcher().enqueue(new AsyncCall(responseCallback));
}
这里的responseCallback就是我们最外层的回调接口,暂时先不管这个。
重点看这行代码:
client.dispatcher().enqueue(new AsyncCall(responseCallback));
dispatcher是client持有的一个调度器,我们找到Dispatcher这个类里面的enqueue方法:
synchronized void enqueue(AsyncCall call) {
if (runningAsyncCalls.size() < maxRequests && runningCallsForHost(call) < maxRequestsPerHost) {
runningAsyncCalls.add(call);
executorService().execute(call);
} else {
readyAsyncCalls.add(call);
}
}
可以看出,runningAsyncCalls,这里是线程池里面的概念,先看executorService().execute(call)
来看一下call:
final class AsyncCall extends NamedRunnable { public abstract class NamedRunnable implements Runnable {
可以看出,AsyncCall是一个Runnable,所以executorService().execute(call)执行的时候,实际上执行的是AsnycCall里面的execute()方法:
@Override protected void execute() {
boolean signalledCallback = false;
try {
Response response = getResponseWithInterceptorChain();
if (retryAndFollowUpInterceptor.isCanceled()) {
signalledCallback = true;
responseCallback.onFailure(RealCall.this, new IOException("Canceled"));
} else {
signalledCallback = true;
responseCallback.onResponse(RealCall.this, response);
}
} catch (IOException e) {
if (signalledCallback) {
// Do not signal the callback twice!
Platform.get().log(INFO, "Callback failure for " + toLoggableString(), e);
} else {
responseCallback.onFailure(RealCall.this, e);
}
} finally {
client.dispatcher().finished(this);
}
}
找到关键的语句:
Response result = getResponseWithInterceptorChain();
这句是这个框架比较核心的思想:拦截器,通过一个个的拦截器,通过递归串联起来:
Response getResponseWithInterceptorChain() throws IOException {
// Build a full stack of interceptors.
List<Interceptor> interceptors = new ArrayList<>();
interceptors.addAll(client.interceptors());
interceptors.add(retryAndFollowUpInterceptor);
interceptors.add(new BridgeInterceptor(client.cookieJar()));
interceptors.add(new CacheInterceptor(client.internalCache()));
interceptors.add(new ConnectInterceptor(client));
if (!forWebSocket) {
interceptors.addAll(client.networkInterceptors());
}
interceptors.add(new CallServerInterceptor(forWebSocket)); Interceptor.Chain chain = new RealInterceptorChain(
interceptors, null, null, null, 0, originalRequest);
return chain.proceed(originalRequest);
}
首先是interceptors.addAll(client.interceptors()),这里面的intterceptors是哪里来的呢,从代码可以看出是由client来的,其实就是我们初始化client的时候,由用户
添加的new OkHttpClient.Builder().addInterceptor(new LoggingInterceptor()).build();这里面的LoggingInterceptor就是我们用户自己定义的interceptor,从上面的代码
我们可以看到interceptors是一个list,说明client的addInterceptor可以添加多个。
我们看client的interceptors,是分为两种类型的, addInterceptor()和addNetworkInterceptor() ,通过 addInterceptor() 方法添加的拦截器是放在最前面的。通过 addNetworkInterceptor() 方法添加的网络拦截器,则是在非 WebSocket 请求时,添加在 ConnectInterceptor 和 CallServerInterceptor 之间的。这两个的区别,可以看
这里:https://blog.csdn.net/qq_38219041/article/details/72935142?utm_source=blogxgwz1
addInterceptor() 添加应用拦截器
● 不需要担心中间过程的响应,如重定向和重试.
● 总是只调用一次,即使HTTP响应是从缓存中获取.
● 观察应用程序的初衷. 不关心OkHttp注入的头信息如: If-None-Match.
● 允许短路而不调用 Chain.proceed(),即中止调用.
● 允许重试,使 Chain.proceed()调用多次.
addNetworkInterceptor() 添加网络拦截器
● 能够操作中间过程的响应,如重定向和重试.
● 当网络短路而返回缓存响应时不被调用.
● 只观察在网络上传输的数据.
● 携带请求来访问连接.
接下来的重点是这句话:
Interceptor.Chain chain = new RealInterceptorChain(
interceptors, null, null, null, 0, originalRequest);
return chain.proceed(originalRequest);
interceptors的循环调用就在这里面了,那我们看一下这里面是如何实现的:
public Response proceed(Request request, StreamAllocation streamAllocation, HttpCodec httpCodec,
RealConnection connection) throws IOException {
if (index >= interceptors.size()) throw new AssertionError(); calls++; // If we already have a stream, confirm that the incoming request will use it.
if (this.httpCodec != null && !this.connection.supportsUrl(request.url())) {
throw new IllegalStateException("network interceptor " + interceptors.get(index - 1)
+ " must retain the same host and port");
} // If we already have a stream, confirm that this is the only call to chain.proceed().
if (this.httpCodec != null && calls > 1) {
throw new IllegalStateException("network interceptor " + interceptors.get(index - 1)
+ " must call proceed() exactly once");
} // Call the next interceptor in the chain.
RealInterceptorChain next = new RealInterceptorChain(
interceptors, streamAllocation, httpCodec, connection, index + 1, request);
Interceptor interceptor = interceptors.get(index);
Response response = interceptor.intercept(next); // Confirm that the next interceptor made its required call to chain.proceed().
if (httpCodec != null && index + 1 < interceptors.size() && next.calls != 1) {
throw new IllegalStateException("network interceptor " + interceptor
+ " must call proceed() exactly once");
} // Confirm that the intercepted response isn't null.
if (response == null) {
throw new NullPointerException("interceptor " + interceptor + " returned null");
} return response;
}
可以看到,RealInterceptorChain的参数index第一次传进来的时候为0,来看porceed这个方法里面,重点是下面这句话:
// Call the next interceptor in the chain.
RealInterceptorChain next = new RealInterceptorChain(
interceptors, streamAllocation, httpCodec, connection, index + 1, request);
Interceptor interceptor = interceptors.get(index);
Response response = interceptor.intercept(next);
这里先new一个RealInterceptorChain,index为在原来的基础上+1,然后从前面的interceptors这个list里面,根据index取出相对应的一个interceptor,然后这个RealInterceptorChain作为一个参数传进interceptor.intercept
这时候我们就要回过头去看一下,说了这么久的interceptor到底是什么:
interceptors.add(new BridgeInterceptor(client.cookieJar())); public final class BridgeInterceptor implements Interceptor { public interface Interceptor {
Response intercept(Chain chain) throws IOException; interface Chain {
Request request(); Response proceed(Request request) throws IOException; Connection connection();
}
}
interceptort定义一个接口,各个具体的拦截器实现这个接口,我们用户自己定义的拦截器也都是实现这个接口,
前面提到的:
Response response = interceptor.intercept(next);
其实就是每个具体拦截器的方法intercept:
@Override public Response intercept(Chain chain) throws IOException {
Request userRequest = chain.request();
Request.Builder requestBuilder = userRequest.newBuilder(); RequestBody body = userRequest.body();
if (body != null) {
MediaType contentType = body.contentType();
if (contentType != null) {
requestBuilder.header("Content-Type", contentType.toString());
} long contentLength = body.contentLength();
if (contentLength != -1) {
requestBuilder.header("Content-Length", Long.toString(contentLength));
requestBuilder.removeHeader("Transfer-Encoding");
} else {
requestBuilder.header("Transfer-Encoding", "chunked");
requestBuilder.removeHeader("Content-Length");
}
} if (userRequest.header("Host") == null) {
requestBuilder.header("Host", hostHeader(userRequest.url(), false));
} if (userRequest.header("Connection") == null) {
requestBuilder.header("Connection", "Keep-Alive");
} // If we add an "Accept-Encoding: gzip" header field we're responsible for also decompressing
// the transfer stream.
boolean transparentGzip = false;
if (userRequest.header("Accept-Encoding") == null && userRequest.header("Range") == null) {
transparentGzip = true;
requestBuilder.header("Accept-Encoding", "gzip");
} List<Cookie> cookies = cookieJar.loadForRequest(userRequest.url());
if (!cookies.isEmpty()) {
requestBuilder.header("Cookie", cookieHeader(cookies));
} if (userRequest.header("User-Agent") == null) {
requestBuilder.header("User-Agent", Version.userAgent());
} Response networkResponse = chain.proceed(requestBuilder.build()); HttpHeaders.receiveHeaders(cookieJar, userRequest.url(), networkResponse.headers()); Response.Builder responseBuilder = networkResponse.newBuilder()
.request(userRequest); if (transparentGzip
&& "gzip".equalsIgnoreCase(networkResponse.header("Content-Encoding"))
&& HttpHeaders.hasBody(networkResponse)) {
GzipSource responseBody = new GzipSource(networkResponse.body().source());
Headers strippedHeaders = networkResponse.headers().newBuilder()
.removeAll("Content-Encoding")
.removeAll("Content-Length")
.build();
responseBuilder.headers(strippedHeaders);
responseBuilder.body(new RealResponseBody(strippedHeaders, Okio.buffer(responseBody)));
} return responseBuilder.build();
}
以上代码我们先追踪是如何实现循环调用interceptor,主要是以下这一句:
Response networkResponse = chain.proceed(requestBuilder.build());
看到这里,又调用了chain的proceed,而这个chain就是RealInterceptorChain,又回到了chain的proceed里面:
// Call the next interceptor in the chain.
RealInterceptorChain next = new RealInterceptorChain(
interceptors, streamAllocation, httpCodec, connection, index + 1, request);
Interceptor interceptor = interceptors.get(index);
Response response = interceptor.intercept(next);
通过index再次加1,调用下一个interceptor的intercept;所以拦截器list interceptors并不是通过for循环来获得每一个的拦截器,而是通过前面的index每次+1,然后
通过chain来串连起来。
由上可知,每个拦截器的重点位置就是看里面的intercept方法如何执行的,这里面都包括该拦截器的本身的业务处理以及调用下一个拦截器。
拦截器
BridgeInterceptor:转换应用层request数据为真正的网络请求数据:
先看一下BridgeInterceptor,拦截器我们都是从intercept方法入手:
@Override public Response intercept(Chain chain) throws IOException {
Request userRequest = chain.request();
Request.Builder requestBuilder = userRequest.newBuilder(); RequestBody body = userRequest.body();
if (body != null) {
MediaType contentType = body.contentType();
if (contentType != null) {
requestBuilder.header("Content-Type", contentType.toString());
} long contentLength = body.contentLength();
if (contentLength != -1) {
requestBuilder.header("Content-Length", Long.toString(contentLength));
requestBuilder.removeHeader("Transfer-Encoding");
} else {
requestBuilder.header("Transfer-Encoding", "chunked");
requestBuilder.removeHeader("Content-Length");
}
} if (userRequest.header("Host") == null) {
requestBuilder.header("Host", hostHeader(userRequest.url(), false));
} if (userRequest.header("Connection") == null) {
requestBuilder.header("Connection", "Keep-Alive");
} // If we add an "Accept-Encoding: gzip" header field we're responsible for also decompressing
// the transfer stream.
boolean transparentGzip = false;
if (userRequest.header("Accept-Encoding") == null && userRequest.header("Range") == null) {
transparentGzip = true;
requestBuilder.header("Accept-Encoding", "gzip");
} List<Cookie> cookies = cookieJar.loadForRequest(userRequest.url());
if (!cookies.isEmpty()) {
requestBuilder.header("Cookie", cookieHeader(cookies));
} if (userRequest.header("User-Agent") == null) {
requestBuilder.header("User-Agent", Version.userAgent());
} Response networkResponse = chain.proceed(requestBuilder.build()); HttpHeaders.receiveHeaders(cookieJar, userRequest.url(), networkResponse.headers()); Response.Builder responseBuilder = networkResponse.newBuilder()
.request(userRequest); if (transparentGzip
&& "gzip".equalsIgnoreCase(networkResponse.header("Content-Encoding"))
&& HttpHeaders.hasBody(networkResponse)) {
GzipSource responseBody = new GzipSource(networkResponse.body().source());
Headers strippedHeaders = networkResponse.headers().newBuilder()
.removeAll("Content-Encoding")
.removeAll("Content-Length")
.build();
responseBuilder.headers(strippedHeaders);
responseBuilder.body(new RealResponseBody(strippedHeaders, Okio.buffer(responseBody)));
} return responseBuilder.build();
}
以上代码中,前半部分,chain.proceed(requestBuilder.build())前面,其实就是将最外层的代码,即用户层面定义的request:
Request request = new Request.Builder() .........
里面的各个参数转为真正的网络请求参数,包括Host、Connect、Accept-Encoding、User-Agent、Cookie等http的头部分头信息,通过:
Response networkResponse = chain.proceed(requestBuilder.build());
将这些信息传入到下一个拦截器去执行,请求阶段这个拦截器的作用已经结束,接下来就是调用:
Response.Builder responseBuilder = networkResponse.newBuilder()
.request(userRequest);
来等待下级拦截器的返回结果。所以拦截器的作用就是,我尽管完成我的那一部分工作,把我得到的请求交给下一个拦截器,中间的过程不用管,我就等待下一个拦截器返回结果,然后再将结果同样返回上一个拦截器。
return responseBuilder.build();
CacheInterceptor:缓存拦截器,从网络还是缓存获取数据:
接下来看一下CacheInterceptor:
@Override public Response intercept(Chain chain) throws IOException {
Response cacheCandidate = cache != null
? cache.get(chain.request())
: null; long now = System.currentTimeMillis(); CacheStrategy strategy = new CacheStrategy.Factory(now, chain.request(), cacheCandidate).get();
Request networkRequest = strategy.networkRequest;
Response cacheResponse = strategy.cacheResponse; if (cache != null) {
cache.trackResponse(strategy);
} if (cacheCandidate != null && cacheResponse == null) {
closeQuietly(cacheCandidate.body()); // The cache candidate wasn't applicable. Close it.
} // If we're forbidden from using the network and the cache is insufficient, fail.
if (networkRequest == null && cacheResponse == null) {
return new Response.Builder()
.request(chain.request())
.protocol(Protocol.HTTP_1_1)
.code(504)
.message("Unsatisfiable Request (only-if-cached)")
.body(Util.EMPTY_RESPONSE)
.sentRequestAtMillis(-1L)
.receivedResponseAtMillis(System.currentTimeMillis())
.build();
} // If we don't need the network, we're done.
if (networkRequest == null) {
return cacheResponse.newBuilder()
.cacheResponse(stripBody(cacheResponse))
.build();
} Response networkResponse = null;
try {
networkResponse = chain.proceed(networkRequest);
} finally {
// If we're crashing on I/O or otherwise, don't leak the cache body.
if (networkResponse == null && cacheCandidate != null) {
closeQuietly(cacheCandidate.body());
}
} // If we have a cache response too, then we're doing a conditional get.
if (cacheResponse != null) {
if (networkResponse.code() == HTTP_NOT_MODIFIED) {
Response response = cacheResponse.newBuilder()
.headers(combine(cacheResponse.headers(), networkResponse.headers()))
.sentRequestAtMillis(networkResponse.sentRequestAtMillis())
.receivedResponseAtMillis(networkResponse.receivedResponseAtMillis())
.cacheResponse(stripBody(cacheResponse))
.networkResponse(stripBody(networkResponse))
.build();
networkResponse.body().close(); // Update the cache after combining headers but before stripping the
// Content-Encoding header (as performed by initContentStream()).
cache.trackConditionalCacheHit();
cache.update(cacheResponse, response);
return response;
} else {
closeQuietly(cacheResponse.body());
}
} Response response = networkResponse.newBuilder()
.cacheResponse(stripBody(cacheResponse))
.networkResponse(stripBody(networkResponse))
.build(); if (cache != null) {
if (HttpHeaders.hasBody(response) && CacheStrategy.isCacheable(response, networkRequest)) {
// Offer this request to the cache.
CacheRequest cacheRequest = cache.put(response);
return cacheWritingResponse(cacheRequest, response);
} if (HttpMethod.invalidatesCache(networkRequest.method())) {
try {
cache.remove(networkRequest);
} catch (IOException ignored) {
// The cache cannot be written.
}
}
} return response;
}
首先是这一句:
Response cacheCandidate = cache != null
? cache.get(chain.request())
: null;
判断本地是否存在缓存,如果存在,直接用,如果不存在,则值为空继续往下,那这个cache又从哪里来呢,其实也是应用层定义的:
//缓存文件夹
File cacheFile = new File(getExternalCacheDir().toString(), "cache");
//缓存大小为10M
int cacheSize = 10 * 1024 * 1024;
Cache cache = new Cache(cacheFile, cacheSize);
OkHttpClient client = new OkHttpClient
.Builder()
//.addInterceptor(new LoggingInterceptor())//日志拦截器
.cache(cache)
这里定义了一个file存储cache,定义了名字、存储路径以及最大缓存容量,那是在哪个地方设置值进去呢:
// If we have a cache response too, then we're doing a conditional get.
if (cacheResponse != null) {
if (networkResponse.code() == HTTP_NOT_MODIFIED) {
Response response = cacheResponse.newBuilder()
.headers(combine(cacheResponse.headers(), networkResponse.headers()))
.sentRequestAtMillis(networkResponse.sentRequestAtMillis())
.receivedResponseAtMillis(networkResponse.receivedResponseAtMillis())
.cacheResponse(stripBody(cacheResponse))
.networkResponse(stripBody(networkResponse))
.build();
networkResponse.body().close(); // Update the cache after combining headers but before stripping the
// Content-Encoding header (as performed by initContentStream()).
cache.trackConditionalCacheHit();
cache.update(cacheResponse, response);
return response;
} else {
closeQuietly(cacheResponse.body());
}
}
我们先来看HTTP_NOT_MODIFIED看是什么意思:
/**
* HTTP Status-Code 304: Not Modified.
*/
public static final int HTTP_NOT_MODIFIED = 304;
返回这个意思就是,当客户端再次请求数据的时候,这个时间到上次请求的时间段内,服务器的资源数据没有更新,所以对于客户端来说,没必要再次去服务器获取具体数据,直接从本地获取上一次的数据,然后return response。
如果说是网络资源已修改,或者是第一次请求,则使用下一层的网络请求返回response,然后将该response缓存在cache里面供下次的请求使用。
作者:chaychan
链接:http://www.imooc.com/article/details/id/271841
来源:慕课网
未完待续。。。
Okhttp3源码解析的更多相关文章
- Okhttp3源码解析(3)-Call分析(整体流程)
### 前言 前面我们讲了 [Okhttp的基本用法](https://www.jianshu.com/p/8e404d9c160f) [Okhttp3源码解析(1)-OkHttpClient分析]( ...
- Okhttp3源码解析(2)-Request分析
### 前言 前面我们讲了 [Okhttp的基本用法](https://www.jianshu.com/p/8e404d9c160f) [Okhttp3源码解析(1)-OkHttpClient分析]( ...
- Okhttp3源码解析(4)-拦截器与设计模式
### 前言 回顾: [Okhttp的基本用法](https://www.jianshu.com/p/8e404d9c160f) [Okhttp3源码解析(1)-OkHttpClient分析](htt ...
- Okhttp3源码解析(5)-拦截器RetryAndFollowUpInterceptor
### 前言 回顾: [Okhttp的基本用法](https://www.jianshu.com/p/8e404d9c160f) [Okhttp3源码解析(1)-OkHttpClient分析](htt ...
- Okhttp3源码解析(1)-OkHttpClient分析
### 前言 上篇文章我们讲了[Okhttp的基本用法](https://www.jianshu.com/p/8e404d9c160f),今天根据上节讲到请求流程来分析源码,那么第一步就是实例化OkH ...
- andorid jar/库源码解析之okhttp3
目录:andorid jar/库源码解析 Okhttp3: 作用: 用于网络编程(http,https)的快速开发. 栗子: // okHttpClient定义成全局静态,或者单例,不然重复new可能 ...
- Retrofit2.0源码解析
欢迎访问我的个人博客 ,原文链接:http://wensibo.net/2017/09/05/retrofit/ ,未经允许不得转载! 今天是九月的第四天了,学校也正式开学,趁着大学最后一年的这大好时 ...
- Retrofit源码解析(下)
接着上一章继续分析上一章主要简单说了一下基本使用和注解,这一章,我们主要看源码,废话不多说了,直接上.先上一张图 从网络上拿来的 前面一章说了一下Retrofit的简单使用https://www.cn ...
- 【转载】okhttp源码解析
转自:http://www.open-open.com/lib/view/open1472216742720.html https://blog.piasy.com/2016/07/11/Unders ...
随机推荐
- Java学习笔记之Object常用方法
Object:万类之祖 == : 比较的是是否是同一个对象,比较的是地址 equals: 是Object里面的方法,默认的是==,比较的是地址,但在String类型里重写为比较内容 一般我们在 ...
- C++ set 用法略解
先看一段代码. #include<iostream> #include<set> #include<cstdio> #include<cstdlib> ...
- opencv::Sobel算子
卷积应用-图像边缘提取 卷积应用-图像边缘提取 边缘是什么 – 是像素值发生跃迁的地方,是图像的显著特征之一, 在图像特征提取.对象检测.模式识别等方面都有重要的作用. 如何捕捉/提取边缘 – 对图像 ...
- google::Glog
windows下使用google的Glog库 下载glog-.tar.gz,解压. vs2013打开工程, 有四个项目 libglog libglog_static logging_unittest ...
- Uipath 获取当前浏览器页面URL
文章来源东京IT青年前线 http://www.rpatokyo.com Uipath 获取当前浏览器页面URL的方法 Inject Js Script 因为目前没有直接获取页面URL的Act ...
- Maven -- 使用Myeclipse创建Maven项目
使用Myeclipse创建Maven项目有如下几种方式: 1.创建Maven Java项目 1.1 选择新建Maven项目 1.2.选择创建简单项目 1.3.填写项目信息 1.4.创建成功后项目目录结 ...
- PHP安装amqp拓展(win环境)
安装php扩展amqp 先查看自己的php版本 记住版本 至于这个线程安全问题 这里引用了别人的自己看看吧 http://blog.csdn.net/aoyoo111/article/detail ...
- 03 python学习笔记-文件操作(三)
本文内容主要包括以下方面: 1. 文件操作基本认识2. 只读(r, rb)3. 只写(w, wb)4. 追加(a, ab)5. r+读写6. w+写读7. a+写读(追加写读)8. 文件的修改 一.文 ...
- JavaWeb 如何防止表单重复提交 - 使用Token,令牌
JavaWeb 如何防止表单重复提交 - 使用Token,令牌 说到重复提交 ,应该想到两种场景:1. 在下单,或者支付 这种情况 那么不允许 刷新,不允许后退再点击提交(后退之后提交会失败,修改了 ...
- unity www下载导致内存占用增加问题
服务端或者数据库更改导致客户端更改,最合理的处理方法是客户端时刻检测版本号(可以通过实时检测版本号),如果实时刷新数据库的数据开销比较大,尤其是有图片元素时. 采用unity www类下载时,虽然结束 ...