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如何快速开发一个高性能Http后端服务

如何快速开发一个高性能Http后端服务

作者: 郭彦超 | 来源:发表于2020-03-04 11:20 被阅读0次

    介绍

    这是一个基于Netty框架二次封装的高性能Http接口服务,增加了对http请求路由的功能,并简化了操作,目的是将接收到的日志经过简单处理后快速推送到kafka ,服务于易企秀数据埋点业务,春节期间日处理10亿+
    特点:简单、高效 (在最普通的机器环境压测QPS最高可以达到2.5w/s)
    项目地址:https://github.com/yanchaoguo/log-server

    设计

    image.png

    依赖

    • Netty4
    • logback kafka appender
    • ipip

    快速启动

    1、编译

    git clone https://github.com/yanchaoguo/log-server.git
    
    mvn assembly:assembly
    

    2、配置
    将编译好的工程放到 /data/work/log_server,目录结构如下:

    ----log_server
              |
              ----bin           #依赖的jar包
              |
              ----classes       #编译后生成的classes目录
              |
              ----bin           #启动脚本
              |
              ----logs          #日志文件  
    

    cd /data/work/log_server/bin
    编辑 ls.sh 脚本,配置端口号和kafka地址

    port=9001
    kafka=hadoop006:9092,hadoop007:9092,hadoop008:9092
    

    3、启动

    ./ls.sh start
    

    快速开发

    1、目录说明

    image.png

    2、在action目录下新增业务处理类,比如创建FastPushAction并实现Action接口的doAction方法;该类不对日志进行处理,没有太多业务逻辑,负责将接收到的日志发送到kafka ,可以作为demo参考,具体实现如下

    /**
     * /fast_push为该业务逻辑的请求路径 ,如http://localhost:port/log-server/fast_push
     */
    @Route(value = "/fast_push")
    public class FastPushAction implements Action {
    
        private static final Logger logger = LoggerFactory.getLogger(PushLogAction.class);
    
    
        @Override
        public void doAction(Request request, Response response) {
    
                String logs = request.getContent();  //从body中获取日志内容
                //从参数中获取 logger 名称,为空则取默认值
                String loger = Utils.isNulDefault(request.getParam("loger"),LogConfigManager.trashTopic);
    
                int responseStatus = CodeManager.RESPONSE_CODE_NORMAL;
    
                //如果body中没有内容 尝试从url参数中获取
                if (StrUtil.isEmpty(logs) && request.getParams().size()>0) {
                    logs = Utils.toJson(request.getParams());
                }
                if (StrUtil.isEmpty(logs)) {
                    response.setContent("<h2>not find log content</h2>");
                    responseStatus = CodeManager.RESPONSE_CODE_NOT_CONTENT;
                    logger.warn("not find log content");
                }else {
                    //将日志推送到kafka,其中 logger 的名称要和logback.xml中的配置一致
                    KafkaLoggerFactory.getLogger(loger).info(logs);
                }
                // 设置返回信息:
                response.setStatus(responseStatus);
                response.setHeader("Access-Control-Allow-Origin", "*");
                response.setHeader(CookieHeaderNames.EXPIRES , -1);
                // 返回:
                response.send();
    
        }
    
    }
    
    

    3、配置logback.xml

    <?xml version="1.0" encoding="UTF-8" ?>
    <configuration>
        <!--trash-->
        <logger name="trash" level="INFO" additivity="false">
            <appender-ref ref="trash_kafka"/>
        </logger>
    
    
      <appender name="trash_kafka" class="com.github.danielwegener.logback.kafka.KafkaAppender">
            <encoder class="com.github.danielwegener.logback.kafka.encoding.LayoutKafkaMessageEncoder">
                <layout class="ch.qos.logback.classic.PatternLayout">
                    <pattern>%msg</pattern>
                </layout>
                <charset>UTF-8</charset>
            </encoder>
            <topic>trash</topic>
            <keyingStrategy class="com.github.danielwegener.logback.kafka.keying.RoundRobinKeyingStrategy" />
            <deliveryStrategy class="com.github.danielwegener.logback.kafka.delivery.AsynchronousDeliveryStrategy" />
            <producerConfig>bootstrap.servers=${kafka.servers}
            </producerConfig>
            <producerConfig>linger.ms=1000</producerConfig>
            <producerConfig>compression.type=none</producerConfig>
            <producerConfig>buffer.memory=1073741842</producerConfig>
            <producerConfig>acks=1</producerConfig>
       </appender>
    </configuration>
    
    

    4、在 LogServer.java 中注册FastPushAction

     public static void start() {
            //注册action
            ServerSetting.setAction(PushLogAction.class);
            ServerSetting.setAction(FastPushAction.class);
            try {
                new LogServer().start(ServerSetting.getPort());
            } catch (InterruptedException e) {
                log.error("LoServer start error!", e);
            }
        }
    

    性能

    4核2G单实例
    数据大小2k,压测命令如下:

    ab -n2000000 -c500  "http://****:9001/log-server/fast_push?debugMode=0&sdk=tracker-view.js&ver=1.1.1&d_i=2020021955e4d920&url=https%3A%2F%2Fb.scene.eprezi.cn%2Fs%2FDPawp3qi%3Fshare_level%3D10%26from_user%3D20200211285b0f8f%26from_id%3Db9509c4e-7%26share_time%3D1581400182382%26from%3Dsinglemessage%26isappinstalled%3D0%26adpop%3D1&tit=%E6%B5%B7%E8%89%BA-%E5%8C%97%E4%BA%AC%E8%88%9E%E8%B9%88%E5%AD%A6%E9%99%A2%E4%B8%AD%E5%9B%BD%E8%88%9E%E8%80%83%E7%BA%A7%E6%95%99%E6%9D%90&ref=&u_a=&bro=%E5%BE%AE%E4%BF%A1&os=Android&o_v=8.1.0&eng=Webkit&man=Xiaomi&mod=HM-6&sns=weixin-singlemessage&n_t=wifi&s_i=v3x20200219eb3eadcb&c_i=da1c0dd6ad3b19b9a86f42bdfd31c69a&u_i=&c_p=Android&b_v=2.0&c_e=0.0.1&product=traffic_view&b_t=traffic&x_t=0&wx_o_i=&wx_n_n=&wx_sex=&wx_pro=&wx_cit=&wx_cou=&wx_hea=&wx_u_i=&wx_r_f=singlemessage&scene_id=121973512&scene_c_u=ff80808155520087015556e924cc0e8e&scene_code=DPawp3qi&scene_bizType=0&scene_property_eqAdType=1&scene_ext_yqc_ad=121973512&scene_member_type=&scene_user_type=1&foto_id=&foto_code=&rdt=1&domain=b.scene.eprezi.cn&media_id=1&pid=10000&works_id=121973512&earnings_user_id=ff80808155520087015556e924cc0e8e&publisher_id=24996&ad_unit_id=12&plan_id=201904091007&strategy_id=515&task_id=5156899&ad_platform=gdt&ad_type=tpl&ad_style_id=43&ad_size=&works_open_type=1&ad_page_num=0&man_2=%E5%B0%8F%E7%B1%B3&cou=&pro=&cit=&sex=0&new_user=&is_auth=0&device_size=36&d_t=1&e_t=element_view&count=1&scene_page_curr=&target_url=&conversion_type=ad_position_request&c_t=1582102328147"
    

    压测结果:

    Concurrency Level:      500
    Time taken for tests:   83.936 seconds
    Complete requests:      2000000
    Failed requests:        0
    Write errors:           0
    Total transferred:      272000000 bytes
    HTML transferred:       0 bytes
    Requests per second:    23827.75 [#/sec] (mean)
    Time per request:       20.984 [ms] (mean)
    
    
    image.png

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