- 新闻类App (MVP + RxJava + Retrofit+
- 新闻类App (MVP + RxJava + Retrofit+
- 新闻类App (MVP + RxJava + Retrofit+
- 新闻类App (MVP + RxJava + Retrofit+
- 新闻类App (MVP + RxJava + Retrofit+
- 新闻类App (MVP + RxJava + Retrofit+
- 新闻类App (MVP + RxJava + Retrofit+
- 新闻类App (MVP + RxJava + Retrofit+
- 新闻类App (MVP + RxJava + Retrofit+
- 新闻类App (MVP + RxJava + Retrofit+
Github地址:新闻类App (MVP + RxJava + Retrofit+Dagger+ARouter)
概述
- 网络的优化的维度:多维
- 仅仅重视流量不够(流量只是其中一个维度)
- 网络流量的消耗量:需要精确
- 网络相关监控:应该全面
- 粗粒度监控不能帮助我们发现,解决深层次的问题
网络优化维度
流量消耗
- 一段时间流量消耗的精准度量,网络类型,前后台
- 监控相关:用户流量消耗均值、异常率(消耗多,次数多)
- 完整链路全部监控(Request,Response),主动上报
网络请求质量
- 用户体验:请求速度,成功率
- 监控相关:请求时长,业务成功率,失败率,Top失败接口
误区
- 只关注流量消耗,忽视其它维度
- 只关注均值,整体,忽视个体
网络工具
Network Profiler
- 显示实时网络活动:发送,接受数据及连接数
- 需要开启高级分析
- 只支持httpURLConnection和okhttp网络库
-
使用:需要开启高级分析
image.png
勾选上enable advanced这项选择
image.png
image.png不用的时候记得关闭这选项,因为可能会影响你的构建,还有勾选完之后需要重新运行app,点击NetworkProfiler之后请求网络会出现一个三角形的形状,然后拖动选择
点击最下方这项
image.png
抓包工具
- charles
- Fiddler
- Wireshark
- TcpDump
Stetho
- 强大的应用调式桥,连接Android和Chrome
- 网络监控,试图参看,数据库参看,命令行扩展
- 使用
github:https://github.com/facebook/stetho
依赖
implementation 'com.facebook.stetho:stetho-okhttp3:1.5.1'
Application中oncreate方法
Stetho.initializeWithDefaults(this);
OkHttp构建过程中
addNetworkInterceptor(new StethoInterceptor())
Chrome浏览器:chrome://inspect
精准获取流量消耗
如何判断App流量消耗偏高
- 绝对值看不出高低
- 对比竞品,相同case对比流量消耗
- 异常监控超过正常指标
测试方案
- 设置——流量管理
- 抓包工具:只允许本APP联网
- 可以解决绝大数问题,但是线上场景,线下可能遇不到
线上流量获取方案
TrafficStats:不采用:
- API8以上手机上次重启以来的流量数据统计
- 缺点:无法获取某个时间段内的流量消耗
tatic long getMobileRxBytes() //获取通过移动数据网络收到的字节总数
static long getMobileTxBytes() //通过移动数据网发送的总字节数
static long getTotalRxBytes() //获取设备总的接收字节数
static long getTotalTxBytes() //获取设备总的发送字节数
static long getUidRxBytes(int uid) //获取指定uid的接收字节数
static long getUidTxBytes(int uid) //获取指定uid的发送字节数
NetworkStatsManager
- API23之后的流量统计
- 可获取指定时间间隔内的流量信息
- 可获取不同网络类型下的消耗
- 代码,注意需要打开权限,否则程序会报错并需要添加权限
<uses-permission android:name="android.permission.READ_PHONE_STATE"/>
<uses-permission android:name="android.permission.PACKAGE_USAGE_STATS" tools:ignore="ProtectedPermissions"/>
/**
* 打开“有权查看使用情况的应用”页面
*/
private boolean hasPermissionToReadNetworkStats() {
if (Build.VERSION.SDK_INT < Build.VERSION_CODES.M) {
return true;
}
final AppOpsManager appOps = (AppOpsManager) getSystemService(Context.APP_OPS_SERVICE);
int mode = appOps.checkOpNoThrow(AppOpsManager.OPSTR_GET_USAGE_STATS,
android.os.Process.myUid(), getPackageName());
if (mode == AppOpsManager.MODE_ALLOWED) {
return true;
}
requestReadNetworkStats();
return false;
}
private void requestReadNetworkStats() {
Intent intent = new Intent(Settings.ACTION_USAGE_ACCESS_SETTINGS);
startActivity(intent);
}
private void getNetStatus(long startTime, long endTime) {
if (Build.VERSION.SDK_INT < Build.VERSION_CODES.M) {
return;
}
try {
long total = 0;
//发送和接受流量
long netDataRx = 0;//接受
long netDataTx = 0;//发送
// 获取subscriberId
TelephonyManager telecomManager = (TelephonyManager) getSystemService(TELEPHONY_SERVICE);
String subscriberId = telecomManager.getSubscriberId();
NetworkStatsManager manager = (NetworkStatsManager) getSystemService(NETWORK_STATS_SERVICE);
//设置本月的第一天为开始时间
NetworkStats networkStats = null;
NetworkStats.Bucket bucket = new NetworkStats.Bucket();
networkStats = manager.querySummary(NetworkCapabilities.TRANSPORT_WIFI, subscriberId, startTime, endTime);
do {
networkStats.getNextBucket(bucket);
int summaryUid = bucket.getUid();
if (getUidByPackageName() == summaryUid) {
netDataRx += bucket.getRxBytes();
netDataTx += bucket.getTxBytes();
}
Log.i(MainActivity.class.getSimpleName(), "uid:" + bucket.getUid() + " rx:" + bucket.getRxBytes() +
" tx:" + bucket.getTxBytes());
total += bucket.getRxBytes() + bucket.getTxBytes();
} while (networkStats.hasNextBucket());
LogUtils.e("gankzhihu app net cost" + total);
} catch (RemoteException e) {
e.printStackTrace();
}
}
public int getUidByPackageName() {
int uid = -1;
PackageManager packageManager = getPackageManager();
PackageInfo packageInfo = null;
try {
//包名
packageInfo = packageManager.getPackageInfo("com.peakmain.gankzhihu", PackageManager.GET_META_DATA);
} catch (PackageManager.NameNotFoundException e) {
e.printStackTrace();
}
assert packageInfo != null;
uid = packageInfo.applicationInfo.uid;
Log.e(MainActivity.class.getSimpleName(), packageInfo.packageName + " uid:" + uid);
return uid;
}
前后台流量获取方案
- 线上反馈App后台跑流量
- 只获取一个时间段值不够
- 方案
后台定时任务->获取间隔内流量->记录前后台->分别计算->上报APM后台->流量治理依据
if (hasPermissionToReadNetworkStats()) {
Executors.newScheduledThreadPool(1).schedule(new Runnable() {
@Override
public void run() {
long netUse= getNetStatus(getTimesMonthMorning()-30*1000, System.currentTimeMillis());
//当前是前后还是后台,30s消耗的流量
}
} ,30, TimeUnit.SECONDS);
getNetStatus(getTimesMonthMorning(), System.currentTimeMillis());
}
网络请求流量优化
使用网络场景
- 数据:API,资源包(升级包,H5、配置信息
- 图片:下载,上传
- 监控:APM相关、单点问题相关
数据缓存
- 服务器返回加上过期时间,避免每次重新获取
- 节约流量且大幅度提高数据的访问速度,更好的用户体验
- OKHttp、Volley都有较好的实战
- 代码:RetrofitManager
public class RetrofitManager {
//连接超时
private static long CONNECT_TIMEOUT = 60L;
//阅读超时
private static long READ_TIMEOUT = 10L;
//写入超时
private static long WRITE_TIMEOUT = 10L;
//设缓存有效期为1天
private static final long CACHE_STALE_SEC = 60 * 60 * 24 * 1;
//查询缓存的Cache-Control设置,为only-if-cached时只查询缓存而不会请求服务器,max-stale可以配合设置缓存失效时间
public static final String CACHE_CONTROL_CACHE = "only-if-cached, max-stale=" + CACHE_STALE_SEC;
//查询网络的Cache-Control设置
//(假如请求了服务器并在a时刻返回响应结果,则在max-age规定的秒数内,浏览器将不会发送对应的请求到服务器,数据由缓存直接返回)
public static final String CACHE_CONTROL_NETWORK = "Cache-Control: public, max-age=10";
// 避免出现 HTTP 403 Forbidden,参考:http://stackoverflow.com/questions/13670692/403-forbidden-with-java-but-not-web-browser
private static final String AVOID_HTTP403_FORBIDDEN = "User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.95 Safari/537.11";
private static volatile OkHttpClient mOkHttpClient;
/**
* 云端响应头拦截器,用来配置缓存策略
*/
private static final Interceptor mRewriteCacheControlInterceptor = new Interceptor() {
@Override
public Response intercept(Chain chain) throws IOException {
Request request = chain.request();//获得上一个请求
if (!NetworkUtils.isConnected()) {
request = request.newBuilder()
.cacheControl(CacheControl.FORCE_CACHE)
.build();
}
Response originalResponse = chain.proceed(request);
if (NetworkUtils.isConnected()) {
//有网的时候读接口上的@Headers里的配置,可以在这里进行统一的设置
String cacheControl = request.cacheControl().toString();
return originalResponse.newBuilder()
.header("Cache-Control", cacheControl)
.removeHeader("Pragma")
.build();
} else {
return originalResponse.newBuilder()
.header("Cache-Control", "public, only-if-cached, max-stale=" + CACHE_CONTROL_CACHE)
.removeHeader("Pragma")
.build();
}
}
};
private static final HttpLoggingInterceptor mLoggingInterceptor = new HttpLoggingInterceptor()
.setLevel(HttpLoggingInterceptor.Level.BODY);
/**
* 日志拦截器
*/
private static final Interceptor mLoggingIntercepter = new Interceptor() {
@Override
public Response intercept(Chain chain) throws IOException {
Request request = chain.request();
Response response = chain.proceed(request);
String isSuccess = response.isSuccessful() ? "true" : "false";
Logger.w(isSuccess);
ResponseBody body = response.body();
BufferedSource source = body.source();
source.request(Long.MAX_VALUE);
Buffer buffer = source.buffer();
Charset charset = Charset.defaultCharset();
MediaType contentType = body.contentType();
if (contentType != null) {
charset = contentType.charset();
}
String bodyString = buffer.clone().readString(charset);
Logger.w(String.format("Received response json string " + bodyString));
return response;
}
};
/**
* 获取OkHttpClient实例
*
* @return
*/
private static OkHttpClient getOkHttpClient() {
if (mOkHttpClient == null) {
synchronized (RetrofitManager.class) {
Cache cache = new Cache(new File(App.getAppContext().getCacheDir(), "HttpCache"), 1024 * 1024 * 100);
if (mOkHttpClient == null) {
mOkHttpClient = new OkHttpClient.Builder()
.cache(cache)
.connectTimeout(CONNECT_TIMEOUT, TimeUnit.SECONDS)
.readTimeout(READ_TIMEOUT, TimeUnit.SECONDS)
.writeTimeout(WRITE_TIMEOUT, TimeUnit.SECONDS)
.addInterceptor(mRewriteCacheControlInterceptor)
.addNetworkInterceptor(new StethoInterceptor())
//.addInterceptor(mLoggingIntercepter)
// .addInterceptor(interceptor)
// .cookieJar(new CookiesManager())
// .cookieJar(cookieJar)
.build();
}
}
}
return mOkHttpClient;
}
/**
* 获取玩android的service
*/
public static <T> T create(Class<T> clazz) {
Retrofit retrofit = new Retrofit.Builder().baseUrl(Constant.REQUEST_BASE_URL)
.client(getOkHttpClient())
.addCallAdapterFactory(RxJava2CallAdapterFactory.create())
.addConverterFactory(GsonConverterFactory.create())
.build();
return retrofit.create(clazz);
}
}
okhttp对post请求的数据不缓存
增量数据更新
- 加上版本的概念,只传输有变化的数据
- 配置信息、省市区县更新
数据压缩
- Post请求Body使用GZip
- 请求头压缩
- 图片上传之前必须压缩
- 图片压缩库:Luban
github:https://github.com/Curzibn/Luban
依赖
implementation 'top.zibin:Luban:1.1.8'
图片优化
- 图片使用策略:优先使用缩略图
推荐工具网站:https://yijiangaitu.com - 使用webP格式的图片
网络请求质量优化
质量指标
- 网络请求速度
- 网络请求成功率
http请求过程
- 请求到达运营商的Dns服务器并解析成对应的IP地址
- 创建连接,根据IP地址找到相应的服务器,发起一个请求
- 服务器找到对应的资源原路返回访问的用户
DNS相关
- 问题:DNS被劫持,DNS解析慢
- 方案:使用HttpDNS,绕过运营商域名解析的过程
- 优势:降低平均访问时长,提高连接成功率
- https单域名解析
文档:https://help.aliyun.com/document_detail/30140.html?spm=a2c4g.11186623.2.42.202b13e8Wj7LEl
依赖
maven {
url 'http://maven.aliyun.com/nexus/content/repositories/releases/'
}
compile ('com.aliyun.ams:alicloud-android-httpdns:1.1.7@aar') {
transitive true
}
- 代码
public class OkHttpDNS implements Dns {
private HttpDnsService mDnsService;
private static OkHttpDNS instance = null;
private OkHttpDNS(Context context) {
//第二个参数阿里云的id,不可为空
mDnsService = HttpDns.getService(context, "");
}
public static OkHttpDNS getInstance(Context context) {
if (instance == null) {
synchronized (OkHttpDNS.class) {
if (instance == null) {
instance = new OkHttpDNS(context);
}
}
}
return instance;
}
@Override
public List<InetAddress> lookup(String hostname) throws UnknownHostException {
String ip = mDnsService.getIpByHostAsync(hostname);
if(ip!=null){
List<InetAddress> inetAddresses = Arrays.asList(InetAddress.getAllByName(ip));
return inetAddresses;
}
//系统的DNS
return Dns.SYSTEM.lookup(hostname);
}
}
使用在okhttp构建过程中添加.dns选项
http协议版本历史
- 1.0:版本TCP连接不复用
- 1.1:引入持久连接,但数据通讯按次序进行
- 2:多工。客户端,服务器双向实时通信
网络请求质量监控
- 接口请求耗时,成功率,错误码
- 图片加载每一步耗时
public class OkHttpEventListener extends EventListener {
public static final Factory FACTORY=new Factory() {
@Override
public EventListener create(Call call) {
return new OkHttpEventListener();
}
};
private OkHttpEvent mOkHttpEvent;
public OkHttpEventListener() {
super();
mOkHttpEvent=new OkHttpEvent();
}
@Override
public void callStart(Call call) {
super.callStart(call);
}
@Override
public void dnsStart(Call call, String domainName) {
super.dnsStart(call, domainName);
mOkHttpEvent.dnsStartTime=System.currentTimeMillis();
}
@Override
public void dnsEnd(Call call, String domainName, List<InetAddress> inetAddressList) {
super.dnsEnd(call, domainName, inetAddressList);
mOkHttpEvent.dnsEndTime=System.currentTimeMillis();
}
@Override
public void connectStart(Call call, InetSocketAddress inetSocketAddress, Proxy proxy) {
super.connectStart(call, inetSocketAddress, proxy);
}
@Override
public void secureConnectStart(Call call) {
super.secureConnectStart(call);
}
@Override
public void secureConnectEnd(Call call, @Nullable Handshake handshake) {
super.secureConnectEnd(call, handshake);
}
@Override
public void connectEnd(Call call, InetSocketAddress inetSocketAddress, Proxy proxy, @Nullable Protocol protocol) {
super.connectEnd(call, inetSocketAddress, proxy, protocol);
}
@Override
public void connectFailed(Call call, InetSocketAddress inetSocketAddress, Proxy proxy, @Nullable Protocol protocol, IOException ioe) {
super.connectFailed(call, inetSocketAddress, proxy, protocol, ioe);
}
@Override
public void connectionAcquired(Call call, Connection connection) {
super.connectionAcquired(call, connection);
}
@Override
public void connectionReleased(Call call, Connection connection) {
super.connectionReleased(call, connection);
}
@Override
public void requestHeadersStart(Call call) {
super.requestHeadersStart(call);
}
@Override
public void requestHeadersEnd(Call call, Request request) {
super.requestHeadersEnd(call, request);
}
@Override
public void requestBodyStart(Call call) {
super.requestBodyStart(call);
}
@Override
public void requestBodyEnd(Call call, long byteCount) {
super.requestBodyEnd(call, byteCount);
}
@Override
public void responseHeadersStart(Call call) {
super.responseHeadersStart(call);
}
@Override
public void responseHeadersEnd(Call call, Response response) {
super.responseHeadersEnd(call, response);
}
@Override
public void responseBodyStart(Call call) {
super.responseBodyStart(call);
}
@Override
public void responseBodyEnd(Call call, long byteCount) {
super.responseBodyEnd(call, byteCount);
}
@Override
public void callEnd(Call call) {
super.callEnd(call);
mOkHttpEvent.apiSuccess=true;
}
@Override
public void callFailed(Call call, IOException ioe) {
super.callFailed(call, ioe);
mOkHttpEvent.apiSuccess=false;
mOkHttpEvent.errReson= Log.getStackTraceString(ioe);
LogUtils.e("reason"+mOkHttpEvent.errReson);
}
}
OkHttpEvent实体类
public class OkHttpEvent {
public long dnsStartTime;
public long dnsEndTime;
public long responseBodySize;
//判断有没有成功
public boolean apiSuccess;
public String errReson;
}
使用okhttp构建的时候添加.eventListenerFactory(OkHttpEventListener.FACTORY)这项
- 获取图片每步耗时,以Fresco为例子
public class FrescoTraceListener implements RequestListener {
@Override
public void onRequestStart(ImageRequest request, Object callerContext, String requestId, boolean isPrefetch) {
}
@Override
public void onRequestSuccess(ImageRequest request, String requestId, boolean isPrefetch) {
}
@Override
public void onRequestFailure(ImageRequest request, String requestId, Throwable throwable, boolean isPrefetch) {
}
@Override
public void onRequestCancellation(String requestId) {
}
@Override
public void onProducerStart(String requestId, String producerName) {
}
@Override
public void onProducerEvent(String requestId, String producerName, String eventName) {
}
@Override
public void onProducerFinishWithSuccess(String requestId, String producerName, @Nullable Map<String, String> extraMap) {
}
@Override
public void onProducerFinishWithFailure(String requestId, String producerName, Throwable t, @Nullable Map<String, String> extraMap) {
}
@Override
public void onProducerFinishWithCancellation(String requestId, String producerName, @Nullable Map<String, String> extraMap) {
}
@Override
public void onUltimateProducerReached(String requestId, String producerName, boolean successful) {
}
@Override
public boolean requiresExtraMap(String requestId) {
return false;
}
}
初始化Fresco的时候
Set<RequestListener> listenerset = new HashSet<>();
listenerset.add(new FrescoTraceListener());
ImagePipelineConfig config =
ImagePipelineConfig.newBuilder(mContext).setRequestListeners(listenerset)
.build();
Fresco.initialize(mContext,config);
其他优化
- 多次失败后一定时间内不进行请求,避免雪崩的效应
- CDN加速,提高带宽,动静资源分离(更新后清理缓存)
- 减少传输量,注意请求时机及频率
网络体系优化建设方案
线下测试
- 方案:只抓单独APP,关闭其他app请求
- 侧重点:请求有误,多余,网络切换,弱网,无网测试
线上监控
- 服务器监控
请求耗时(区分地域,时间段,版本,机型)
失败率(业务失败和请求失败)
Tcp失败接口,异常接口 - 客户端监控
接口的每一步信息(DNS,连接,请求等)
请求次数,网络包的大小,失败原因
图片监控
异常监控体系
- 服务器防刷:超限拒绝访问
- 客户端:大文件预警,异常兜底策略
- 单点问题追查
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