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来自:原件 | 责编:乐乐
链接:jianshu.com/u/e078e0d1d0b4
后端架构师(ID:study_tech)第 1071 次推文
往日回顾:面试官问我:String长度有限制吗?是多少?我竟然回答不上来...
正文
前言
下面是我理解的网络请求框架的缓存基本实现。大致的过程是有缓存用缓存的数据,没缓存发起http请求取数据,得到最新数据后存到缓存里。
正文
那么Okhttp怎么实现缓存的,我们从Okhttp发起一次请求的全过程中来看缓存是怎么实现的
Okhttp请求过程源码分析
最简单的使用(以下代码都是okhttp3.8.0为基础):
Response response = client.newCall(request).execute()
追踪到Call接口的实现类RealCall的方法execute
@Override
public Response execute() throws IOException {
synchronized (this) {
// 判断是否在执行,是则抛出异常
if (executed) throw new IllegalStateException("Already Executed");
executed = true;
}
// 初始化跟踪stack trace的对象,用来做日志,所以可以忽略先
captureCallStackTrace();
try {
//将异步的请求丢到异步的双端队列(Deque runningSyncCalls)中等待处理,这里可以先忽略,直接看同步的结果
client.dispatcher().executed(this);
//获取Response
Response result = getResponseWithInterceptorChain();
if (result == null) throw new IOException("Canceled");
return result;
} finally {
client.dispatcher().finished(this);
}
}
很明显,获取response在getResponseWithInterceptorChain这个方法里。这里代码很简单,就是初始化一个interceptor列表,然后调用RealInterceptorChain的proceed函数。
Response getResponseWithInterceptorChain() throws IOException {
// Build a full stack of interceptors.
List 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);
}
interceptors(拦截器)
那么这些interceptor有什么用呢,我们挑几个重要的一一看一下,记住这些interceptors的add顺序很重要
client.interceptors():
依次追踪到interceptors的赋值的地方
public Builder addInterceptor(Interceptor interceptor) {
interceptors.add(interceptor);
return this;
}
public List interceptors() {
return interceptors;
}
这个是不是很熟悉,这个就是我们利用OkHttpClient.Builder builder构造okhttpClient的地方传入的interceptor,也就是常说的application interceptor
CacheInterceptor:看名字很明显是用来做缓存的
ConnectInterceptor:用来建立http连接
client.networkInterceptors():同client.interceptors(),是我们创建okhttpclient时传入的networkInterceptor
CallServerInterceptor:向server发请求的
RealInterceptorChain.proceed(request)
追踪到下面的方法,这时候传入的streamAllocation,httpCodec,connection都是null,index=0
public Response proceed(Request request, StreamAllocation streamAllocation, HttpCodec httpCodec,
RealConnection connection) throws IOException {
// 判断index是否越界
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.
// 创建一个新的RealInterceptorChain,除了index+1,其他的参数都和上一个RealInterceptorChain保持不变
RealInterceptorChain next = new RealInterceptorChain(
interceptors, streamAllocation, httpCodec, connection, index + 1, request);
// 获取当前index的Interceptor
Interceptor interceptor = interceptors.get(index);
// 执行当前Interceptor的intercept方法,传入的参数为下一个RealInterceptorChain
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;
}
所以RealInterceptorChain.proceed的大致过程如下
获取下一个RealInterceptorChain next
调用当前的interceptor的intercept方法,传入参数为next
所以我们要追踪interceptor的intercept方法,下面我以我项目里的一个做统计的intercptor为例来分析
public class NetStatisticsInterceptor implements Interceptor {
@Override
public Response intercept(Chain chain) throws IOException {
Request request = chain.request();
HttpUrl httpUrl = request.url();
HttpUrl.Builder urlBuilder = httpUrl.newBuilder();
if (httpUrl.queryParameter("app_version") == null) {
urlBuilder.addQueryParameter("app_version", BaseConfig.versionName);
}
// 用chain.request()构造一个新的传入统计参数的request,作为参数调用chain.proceed
return chain.proceed(request.newBuilder().url(urlBuilder.build()).build());
}
}
这里对旧的oldRequest做了一堆处理,加入了一些通用的统计参数,包装成生成了一个新的newRequest,然后调用chain.proceed方法,这里又会重新调用RealInterceptorChain.proceed的方法,只是参数index+1了,request为重新包装后的request了(其他的参数也可能变了,取决于Interceptor怎么写)。接着又会走到RealInterceptorChain.proceed代码里,走下一个Interceptor的流程。
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可以得出如下结论:
只要Interceptor的intercept方法调用了chain.proceed(request),就会调用Interceptor列表里的下一个Interceptor;反之可以不调用chain.proceed来打断这个请求链
我们自定义的application interceptor和network interceptor时,都必须返回chain.proceed得到的结果;否则就会打断okhttp内部的请求链
写application interceptor时,在调用chain.proceed(request)之前包装request
写network interceptor时,在调用chain.proceed(request)之后得到的response包装response
看到这里的代码设计,是不是和职责链模式很相似,唯一不同的是okhttp利用index自增的方式来实现每个拦截器的传递。这里我必须感叹下,代码设计的真的很巧妙,还有就是设计模式这东西平常看不出有啥用,到实际碰到了真的很棒。
了解完这些拦截器怎么运行的,接下来具体看看各个拦截器是怎么把请求给串联起来的。
应用拦截器(client.interceptors())
这个我们常说的application interceptor因为在拦截器list的最前面,所以最先执行,一般用于给request做一些简单的包装,例如添加参数,修改header等
CacheInterceptor
直接看intercept方法
@Override
public Response intercept(Chain chain) throws IOException {
// 根据url获取本地缓存
Response cacheCandidate = cache != null
? cache.get(chain.request())
: null;
long now = System.currentTimeMillis();
// 用当前时间now、当前的请求request、本地缓存cacheCandidate来构造CacheStrategy对象
// 调用strategy对象的get方法去判断本地缓存cacheCandidate是否可用
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.如果networkRequest为null就表示走本地缓存
if (networkRequest == null) {
return cacheResponse.newBuilder()
.cacheResponse(stripBody(cacheResponse))
.build();
}
// 走后面的interceptor链去取网络数据得到networkResponse
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());
}
}
// 用networkResponse、cacheResponse构造新的response
Response response = networkResponse.newBuilder()
.cacheResponse(stripBody(cacheResponse))
.networkResponse(stripBody(networkResponse))
.build();
if (cache != null) {
if (HttpHeaders.hasBody(response) && CacheStrategy.isCacheable(response, networkRequest)) {
// 如果response符合缓存的策略需要缓存,则put到cache中
// Offer this request to the cache.
// 这里追踪到put中,可以发现只有method为GET才会add到cache中,所以okhttp是只支持get请求的缓存的;且key为response.request().url()
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;
}
大致流程如下
获取本地缓存cacheCandidate
如果本地缓存可用则直接返回cacheCandidate,从而打断interceptor链
走剩下的interceptor获取networkResponse
networkResponse、cacheResponse构造新的response
根据新的response里的header定制缓存策略,存入缓存中
CacheStrategy
从上面的代码来看,主要的缓存策略都是在这个类里实现。
我们关注这两个变量,networkRequest为null就不走网络取数据,cacheResponse为null则不用缓存
/** The request to send on the network, or null if this call doesn't use the network. */
public final @Nullable Request networkRequest;
/** The cached response to return or validate; or null if this call doesn't use a cache. */
public final @Nullable Response cacheResponse;
public CacheStrategy get() {
CacheStrategy candidate = getCandidate();
if (candidate.networkRequest != null && request.cacheControl().onlyIfCached()) {
// We're forbidden from using the network and the cache is insufficient.
return new CacheStrategy(null, null);
}
return candidate;
}
追踪到public CacheStrategy get()方法
private CacheStrategy getCandidate() {
// No cached response.
if (cacheResponse == null) {
return new CacheStrategy(request, null);
}
// Drop the cached response if it's missing a required handshake.
// 请求为https且缓存没有TLS握手
if (request.isHttps() && cacheResponse.handshake() == null) {
return new CacheStrategy(request, null);
}
// If this response shouldn't have been stored, it should never be used
// as a response source. This check should be redundant as long as the
// persistence store is well-behaved and the rules are constant.
// 跟进缓存Response的code,response和request的cache-control的noStore字段判断是否需要缓存
if (!isCacheable(cacheResponse, request)) {
return new CacheStrategy(request, null);
}
CacheControl requestCaching = request.cacheControl();
// 请求的header不要缓存
if (requestCaching.noCache() || hasConditions(request)) {
return new CacheStrategy(request, null);
}
long ageMillis = cacheResponseAge();
long freshMillis = computeFreshnessLifetime();
if (requestCaching.maxAgeSeconds() != -1) {
freshMillis = Math.min(freshMillis, SECONDS.toMillis(requestCaching.maxAgeSeconds()));
}
long minFreshMillis = 0;
if (requestCaching.minFreshSeconds() != -1) {
minFreshMillis = SECONDS.toMillis(requestCaching.minFreshSeconds());
}
long maxStaleMillis = 0;
CacheControl responseCaching = cacheResponse.cacheControl();
if (!responseCaching.mustRevalidate() && requestCaching.maxStaleSeconds() != -1) {
maxStaleMillis = SECONDS.toMillis(requestCaching.maxStaleSeconds());
}
if (!responseCaching.noCache() && ageMillis + minFreshMillis < freshMillis + maxStaleMillis) {
Response.Builder builder = cacheResponse.newBuilder();
if (ageMillis + minFreshMillis >= freshMillis) {
builder.addHeader("Warning", "110 HttpURLConnection \"Response is stale\"");
}
long oneDayMillis = 24 * 60 * 60 * 1000L;
if (ageMillis > oneDayMillis && isFreshnessLifetimeHeuristic()) {
builder.addHeader("Warning", "113 HttpURLConnection \"Heuristic expiration\"");
}
return new CacheStrategy(null, builder.build());
}
// Find a condition to add to the request. If the condition is satisfied, the response body
// will not be transmitted.
String conditionName;
String conditionValue;
if (etag != null) {
conditionName = "If-None-Match";
conditionValue = etag;
} else if (lastModified != null) {
conditionName = "If-Modified-Since";
conditionValue = lastModifiedString;
} else if (servedDate != null) {
conditionName = "If-Modified-Since";
conditionValue = servedDateString;
} else {
return new CacheStrategy(request, null); // No condition! Make a regular request.
}
Headers.Builder conditionalRequestHeaders = request.headers().newBuilder();
Internal.instance.addLenient(conditionalRequestHeaders, conditionName, conditionValue);
Request conditionalRequest = request.newBuilder()
.headers(conditionalRequestHeaders.build())
.build();
return new CacheStrategy(conditionalRequest, cacheResponse);
}
看这个方法大部分都是返回CacheStrategy(request, null)也就是走网络,那么我们直接看唯一的返回缓存的代码:return new CacheStrategy(null, builder.build());什么条件呢?
// ageMillis是response的maxAge时间和当前时间算出来的cache的有效时间。。。。具体我也没看明白哈
//response不是no-cache且(ageMillis+request的min-fresh时间)<(request的max-age时间+request的max-stale)
!responseCaching.noCache() && ageMillis + minFreshMillis < freshMillis + maxStaleMillis
总结下
request的header有only-if-cached:啥缓存都不用
没有缓存:当然不用缓存
request为https且缓存丢失了TLS握手:不用缓存
request或者response的header有no-store:不用缓存
response除了200一些的status code以外:不用缓存
满足这个条件ageMillis + minFreshMillis < freshMillis + maxStaleMillis的request和response:用缓存
其他的一些情况(我看晕了)
总之就是根据request和response的header的cache-control来做缓存,我们可以严格按照http协议的来做缓存策略,而不用去看okhttp协议怎么实现的(嗯,okhttp应该是严格按照http协议来写的吧?)
最佳实践
服务端控制缓存
客户端请求时,header传入想要的缓存时间策略,例如
@Headers("Cache-Control: no-cache")// 不要缓存
@Headers("Cache-Control: public, max-age=604800")//缓存时间为604800秒
服务端指定缓存策略,返回相应的response Cache-Control
然而很不幸,大部分的服务端都没有返回Cache-Control来控制缓存,所以就有了下面的办法
客户端传入header
@Headers("Cache-Control: public, max-age=30")//缓存时间为30秒
添加networkInterceptor
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@Override
public Response intercept(Chain chain) throws IOException {
Request request = chain.request();
Response originalResponse = chain.proceed(request);
if (TextUtils.isEmpty(originalResponse.header("Cache-Control"))) {
// 这里把request传入的header传递给response
return originalResponse.newBuilder().header("Cache-Control", request.header("Cache-Control")).build();
}
return originalResponse;
}
客户端控制缓存时间,同时要求无网络的时候使用缓存
有网络的时候同上;无网络的时候,如果超过一天则显示error,没超过一天用缓存
客户端传入header同上
networkInterceptor同上
添加applicationInterceptor,传入一个max-age为无限大数的header就能强制用缓存了,或者设置Cache-Control的FORCE_CACHE
@Override
public Response intercept(Chain chain) throws IOException {
Request request = chain.request();
CacheControl cacheControl = request.cacheControl();
boolean noCache = cacheControl.noCache() || cacheControl.noStore() || cacheControl.maxAgeSeconds() == 0;
// 如果header强制要求不用缓存就不走这个逻辑
if (!noCache && !NetworkUtils.isNetworkAvailable(context)) {
Request.Builder builder = request.newBuilder();
//if network not available, load in cache
CacheControl newCacheControl = new CacheControl.Builder()
.maxAge(Integer.MAX_VALUE, TimeUnit.SECONDS).build();
request = builder.cacheControl(newCacheControl).build();
return chain.proceed(request);
}
return chain.proceed(request);
}
基本同上,但是传入的header不是maxAge而是max-stale,设置缓存过期后还能可用的时间为一天即可
CacheControl newCacheControl = new CacheControl.Builder().maxStale(ONE_DAY, TimeUnit.SECONDS).build();
客户端控制缓存时间,request的时间和response的时间不同
前面的几个方式,response的header实际上是从request取出来的,也就是说我们的response的header时间和request的header时间是一样的。但是如果要不一样的情况怎么办呢?举个我项目里的例子
发送A请求(缓存为30分钟),发现这个商品没有买
花钱把这个商品买了,再次请求A请求刷新页面
因为A请求有30分钟缓存没有刷新数据;于是乎我修改了request的header为不使用缓存(也就是age为0),这时数据刷新了
几分钟后,我下次进来这个页面,再次请求A(因为之前age为0,所以并没有缓存),我又发了次请求(实际我期望的是使用缓存的)
实际上我希望的是在步骤3里发送A请求时,request的header为age=0,response的age=30min,那么怎么实现呢,所以提供了下面的方法
首先提供了一个工具类,用来存放header的时间和生成header。这里用ThreadLocal变量存放了response的时间
public final class NetAccessStrategy {
private NetAccessStrategy() {
}
private static final ThreadLocal localCacheTime = new ThreadLocal<>();
public static void setThreadLocalCacheTime(int cacheTime) {
localCacheTime.set(cacheTime);
}
public static int getThreadLocalCacheTime() {
Integer time = localCacheTime.get();
localCacheTime.remove();
if (time == null) {
return 0;
}
return time;
}
public static final String NET_REQUEST = "net-";
/**
* @param requestCacheTime 本地缓存在超过这个时间后失效
* @param localCacheTime 本地缓存的时间
* @return
*/
public static String getRequestNetHeader(int requestCacheTime, int localCacheTime) {
return NET_REQUEST + requestCacheTime + "-" + +localCacheTime;
}
public static int[] getRequestCacheTime(String netHeader) {
int index1 = netHeader.indexOf("-", 1);
int index2 = netHeader.indexOf("-", index1 + 1);
int time1 = -1;
int time2 = -1;
if (index1 != -1 && index2 != -1) {
try {
time1 = Integer.parseInt(netHeader.substring(index1 + 1, index2));
} catch (NumberFormatException ignored) {
}
try {
time2 = Integer.parseInt(netHeader.substring(index2 + 1));
} catch (NumberFormatException ignored) {
}
}
return new int[]{time1, time2};
}
}
在application Interceptor里加上
// 如果发现net-开头的自定义header时
if (header.startsWith(NetAccessStrategy.NET_REQUEST)) {
Request.Builder builder = request.newBuilder();
// 解析得到request和response的时间
int[] timeArray = NetAccessStrategy.getRequestCacheTime(header);
// 传入request的age时间
CacheControl cacheControl = new CacheControl.Builder().maxAge(timeArray[0], TimeUnit.SECONDS).build();
// 存入response的时间
NetAccessStrategy.setThreadLocalCacheTime(timeArray[1]);
builder.cacheControl(cacheControl);
return chain.proceed(builder.build());
}
在network Interceptor里加上
Response originalResponse = chain.proceed(request);
int time = NetAccessStrategy.getThreadLocalCacheTime();
if (time > 0) {
// 取出response time,如果大于0则放到header里
return originalResponse.newBuilder().header("Cache-Control", "public, max-age=" + time)
.build();
}
return originalResponse.newBuilder().header("Cache-Control", request.header("Cache-Control"))
.build();
发请求时加上header,这样就能实现强制刷新,且缓存为300秒的功能了
NetAccessStrategy.getRequestNetHeader(0, 300)
结语
我的github地址:
github.com/nppp1990
PS:欢迎在留言区留下你的观点,一起讨论提高。如果今天的文章让你有新的启发,欢迎转发分享给更多人。
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