gateway+kafka+spark+Mongodb,基于网关搭建日志,PV点击量,访问量统计

1.流程图

由于是前后端分离项目,不方便协调前端所有没有在前端埋点,基于gateway网关向kafka发送请求和响应信息

2.gateway网关配置

2.1 kafka配置

引入pom依赖

    <dependency>
      <groupId>org.springframework.kafkagroupId>
      <artifactId>spring-kafkaartifactId>
    dependency>

配置kafka

package com.aeotrade.gateway.kafka;
import org.springframework.boot.autoconfigure.kafka.KafkaProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.core.DefaultKafkaProducerFactory;
import org.springframework.kafka.core.KafkaTemplate;
import javax.annotation.Resource;
import java.util.Map;
@Configuration
public class KafkaProducerConfig {
    @Resource
    private KafkaProperties kafkaProperties = null;
    @Bean
    public KafkaTemplate kafkaTemplate () {
        Map<String, Object> params =  kafkaProperties.buildProducerProperties();
        DefaultKafkaProducerFactory producerFactory = new DefaultKafkaProducerFactory(params);
        return new KafkaTemplate(producerFactory, true);
    }
}

DocumentSender注入,发送错误记录

package com.aeotrade.gateway.kafka;

import org.apache.commons.lang3.time.DateFormatUtils;
import org.bson.Document;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.SendResult;
import org.springframework.stereotype.Component;
import org.springframework.util.concurrent.ListenableFuture;
import org.springframework.util.concurrent.ListenableFutureCallback;

import javax.annotation.Resource;
import java.io.PrintWriter;
import java.io.StringWriter;

@Component
public class DocumentSender {
    private static final Logger logger = LoggerFactory.getLogger(DocumentSender.class.getName());
    private String sendFailCollection = "kafka_send_fail";
    @Resource
    private KafkaTemplate<String,String> kafkaTemplate = null;
    @Autowired
    private MongoTemplate mongoTemplate;

    /**
     * 发送 MongoDB  Document 文档
     * @param topic
     * @param doc
     */
    public void sendDocment(String topic, String doc) {
        System.out.println("send------------------- 开始发送" );

        ListenableFuture<SendResult<String, String>> future =  kafkaTemplate.send(topic, doc);
        future.addCallback(new ListenableFutureCallback<SendResult<String, String>>() {
            @Override
            public void onFailure(Throwable throwable) {
                saveFailure(topic, doc, throwable);
            }

            @Override
            public void onSuccess(SendResult<String, String> sendResult) {
                System.out.println("kafka发送成功--------------" + sendResult.toString());
            }
        });
    }

    /**
     * 记录错误日志
     * @param topic
     * @param doc
     * @param throwable
     */
    private void saveFailure(String topic, String doc, Throwable throwable) {
        System.out.println("============== 发送失败  " + topic + " ,doc=" + doc);
        Document resultDoc = new Document();
        resultDoc.put("topic", topic);
        resultDoc.put("doc", doc);
        resultDoc.put("error", getStackTraceAsString(throwable));
        resultDoc.put("error_time", DateFormatUtils.format(System.currentTimeMillis(), "yyyy-MM-dd hh:mm:ss"));
        mongoTemplate.save(resultDoc, sendFailCollection);
    }

    public static String getStackTraceAsString(Throwable throwable) {
        StringWriter stringWriter = new StringWriter();
        throwable.printStackTrace(new PrintWriter(stringWriter));
        return stringWriter.toString();
    }
}

新建SendKafkaFilter继承ZullFilter

微服务中Zuul服务网关一共定义了四种类型的过滤器：

pre：在请求被路由（转发）之前调用
route：在路由（请求）转发时被调用
error：服务网关发生异常时被调用
post：在路由（转发）请求后调用

final RequestContext currentContext = RequestContext.getCurrentContext();
final SecurityContext context = SecurityContextHolder.getContext();
final Authentication authentication = context.getAuthentication();
final HttpServletRequest request = currentContext.getRequest();
HttpServletResponse response = currentContext.getResponse();
以上内可以分别获取到请求方式 ,URL ,IP,访问系统,参数 ,以及响应的状态码,上下文等等
可以根据个人需要去过滤筛选,需要过滤掉.js .css .ico等静态资源的访问下面直接贴代码

创建日志实体

package com.aeotrade.gateway.dto;

import lombok.Data;
import org.springframework.data.mongodb.core.mapping.Document;

import java.io.Serializable;
import java.util.Date;
import java.util.Map;

/**
* @Author: yewei
* @Date: 17:18 2020/11/26
* @Description:
*/
@Document(collection = "hmm_log")
@Data
public class MgLogEntity implements Serializable {
   private String id =null;

   /**访问主机/方式*/
   private String userAgent=null;

   /**访问主机/方式 详情*/
   private Map<String, String> userAgentDetils=null;

   /**访问路径*/
   private String url=null;

   /**前端访问IP*/
   private String host=null;
   /**用户访问IP*/
   private String ip=null;

   /**访问用户详情*/
   private Map<String, Object> userDetils=null;

   /**是否登录*/
   private Integer isLogin=null;

   /**访问时间*/
   private Date  time=null;
   /**请求方式*/
   private String wayRequest=null;

   /**员工名称*/
   private String  staffName=null;
   /**是否被拦截*/
   private Integer isTercept=0;

   /**请求参数*/
   private String param =null;
   /**登录方式*/
   private String Logintype =null;

   /**响应状态码*/
   private Integer status =200;
}

filter配置

package com.aeotrade.gateway.filter;

import com.aeotrade.exception.AeotradeException;
import com.aeotrade.gateway.dto.MgLogEntity;
import com.aeotrade.gateway.kafka.DocumentSender;
import com.aeotrade.gateway.mq.RabbitMQTopic;
import com.aeotrade.gateway.mq.RabbitSender;
import com.aeotrade.util.JacksonUtil;
import com.alibaba.fastjson.JSONObject;
import com.google.common.collect.Lists;
import com.netflix.zuul.ZuulFilter;
import com.netflix.zuul.context.RequestContext;
import com.netflix.zuul.exception.ZuulException;
import com.netflix.zuul.http.ServletInputStreamWrapper;
import io.micrometer.core.instrument.util.IOUtils;
import lombok.SneakyThrows;
import org.apache.commons.lang3.StringUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.security.authentication.UsernamePasswordAuthenticationToken;
import org.springframework.security.core.Authentication;
import org.springframework.security.core.GrantedAuthority;
import org.springframework.security.core.context.SecurityContext;
import org.springframework.security.core.context.SecurityContextHolder;
import org.springframework.security.oauth2.provider.OAuth2Authentication;
import org.springframework.security.oauth2.provider.OAuth2Request;
import org.springframework.security.oauth2.provider.authentication.OAuth2AuthenticationDetails;
import org.springframework.util.StreamUtils;

import javax.servlet.ServletInputStream;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletRequestWrapper;
import javax.servlet.http.HttpServletResponse;
import javax.xml.ws.ResponseWrapper;
import java.io.*;
import java.nio.charset.Charset;
import java.util.*;

/**
 * @Author: yewei
 * @Date: 13:47 2020/12/2
 * @Description:错误过滤器
 */

public class SendKafkaFilter extends ZuulFilter {
    @Autowired
    private RabbitSender rabbitSender;

    @Autowired
    private DocumentSender documentSender;
    @Override
    public String filterType() {
        return "post";
    }

    @Override
    public int filterOrder() {
        return 0;
    }

    @Override
    public boolean shouldFilter() {
        return true;
    }

    @SneakyThrows
    @Override
    public Object run() throws ZuulException {
        final RequestContext currentContext = RequestContext.getCurrentContext();
        final SecurityContext context =  SecurityContextHolder.getContext();
        final Authentication authentication = context.getAuthentication();
        final HttpServletRequest request = currentContext.getRequest();
        HttpServletResponse response = currentContext.getResponse();
        Boolean u= isURL(request.getRequestURI());
        if(!u){
            return null;
        }
        MgLogEntity log  = new MgLogEntity();
        Enumeration<String> names = request.getHeaderNames();
        Map<String, String> enumenrt = new HashMap<>();
        for (;names.hasMoreElements();) {
            String name = names.nextElement();
            System.out.println(name + " = " + request.getHeader(name));
            enumenrt.put(name,request.getHeader(name));
        }

        if(enumenrt.containsKey("authorization")){
            enumenrt.put("authorization","bearer");
        }
        // 请求方法
        String method = request.getMethod();
        // 获取请求的输入流
        InputStream in = request.getInputStream();
        String body = StreamUtils.copyToString(in, Charset.forName("UTF-8"));
        log.setIsLogin(0);
        log.setUserAgent(enumenrt.get("user-agent"));
        log.setUserAgentDetils(enumenrt);
        log.setUrl(request.getRequestURI());
        log.setHost(enumenrt.get("host"));
        log.setIp(enumenrt.get("x-real-ip"));
        log.setTime(new Date(System.currentTimeMillis()));
        log.setWayRequest(method);
        log.setParam(StringUtils.isEmpty(body)?"":body);
        if(method.equals("GET")) {
            String queryString = request.getQueryString();//路径参数
            log.setParam(StringUtils.isEmpty(queryString)?"":queryString);
        }
        if(request.getRequestURI().equals("/wx/wxcat/image")){
            log.setParam(null);
        }
        if (!(authentication instanceof OAuth2Authentication)){
            log.setIsLogin(0);
            int status = response.getStatus();
            System.out.println("响应状态------------------------"+status);
            log.setStatus(status);
            //发送kafka
            sendKafka(log);
            if(status==500) {
                sendMq(log);
            }
            return null;
        }
        final OAuth2Authentication oAuth2Authentication = (OAuth2Authentication) authentication;
        final UsernamePasswordAuthenticationToken userAuthentication = (UsernamePasswordAuthenticationToken) oAuth2Authentication.getUserAuthentication();

        final String principal = (String) userAuthentication.getPrincipal();
        if (!StringUtils.containsIgnoreCase(principal,"{")){
            return null;
        }
        List<String> authorities=new ArrayList<>();
        try {
            // 如果body为空初始化为空json
            if (StringUtils.isBlank(body)) {
                body = "{}";
            }
            Map<String, Object> map= JacksonUtil.parseJson(principal,Map.class);//用户信息
            log.setIsLogin(1);
            log.setLogintype(map.get("loginType").toString());
            log.setStaffName(map.get("staffName").toString());
            log.setUserDetils(map);

            //发送kafka
            sendKafka(log);
            //sendMq(log);
        } catch (Exception e) {
            e.printStackTrace();
        }
        return null;
    }

    private Boolean isURL(String url) {
        if(url.endsWith(".js")){
            return false;
        }else if (url.endsWith(".css")){
            return false;
        }else if (url.endsWith(".ico")){
            return false;
        }else if (url.endsWith(".jpg")){
            return false;
        }else if (url.endsWith(".png")){
            return false;
        }
        return true;
    }

    private void sendKafka(MgLogEntity log) {
        String s = JSONObject.toJSONString(log);
        documentSender.sendDocment("log_message",s);
    }


    private void sendMq(MgLogEntity log) throws Exception {
        Map<String, Object> maps = new HashMap<>();
        String s = JSONObject.toJSONString(log);
        rabbitSender.send(RabbitMQTopic.Log,s,maps);
    }


    private String getvalue(Object o){
        return o!=null?o.toString(): StringUtils.EMPTY;
    }
}

3.搭建spark接收消费服务

3.1引入pom依赖

<dependency>
            <groupId>org.apache.sparkgroupId>
            <artifactId>spark-core_2.12artifactId>
            <version>2.4.4version>
            <exclusions>




                <exclusion>
                    <artifactId>slf4j-log4j12artifactId>
                    <groupId>org.slf4jgroupId>
                exclusion>
            exclusions>
        dependency>
        <dependency>
            <groupId>org.apache.sparkgroupId>
            <artifactId>spark-sql_2.12artifactId>
            <version>2.4.4version>
            <exclusions>
                <exclusion>
                    <artifactId>janinoartifactId>
                    <groupId>org.codehaus.janinogroupId>
                exclusion>
            exclusions>
        dependency>
        <dependency>
            <groupId>org.apache.sparkgroupId>
            <artifactId>spark-streaming_2.12artifactId>
            <version>2.4.0version>
        dependency>
        <dependency>
            <groupId>org.apache.sparkgroupId>
            <artifactId>spark-streaming-kafka-0-10_2.12artifactId>
            <version>2.4.5version>
        dependency>
        <dependency>
            <groupId>org.apache.sparkgroupId>
            <artifactId>spark-sql-kafka-0-10_2.12artifactId>
            <version>2.4.5version>
        dependency>
        <dependency>
            <groupId>org.mongodb.sparkgroupId>
            <artifactId>mongo-spark-connector_2.12artifactId>
            <version>2.4.1version>
        dependency>

3.2 yml配置

  kafka:
    bootstrap-servers: 192.168.0.201:9092
spark:
  mongodb:
    out:
      collection: mongodb://aeotrade:*******@192.168.0.201:27017/aeotrade.company_dec_message
aeotrade:
  topic:
    name: log_message
    group-id: log_message_group
  mongodb:
    uri: mongodb://aeotrade:*******@192.168.0.201:27017/aeotrade
    db: aeotrade
    username: aeotrade
    password: *******
  data:
    mongodb:
      host: 192.168.1.201
      port: 27017
      uri: mongodb://aeotrade:*******@192.168.0.201:27017/aeotrade
      username: aeotrade
      password: *******
      database: aeotrade

3.3读取配置文件配置

SparkConfiguration

package com.aeotrade.provider.config;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.spark.SparkConf;
import org.apache.spark.sql.SparkSession;

import java.util.Arrays;

public class SparkConfiguration {
    private TopicProperties topicProperties = null;

    public SparkConfiguration(TopicProperties properties){
        this.topicProperties = properties;
    }
    public SparkSession sparkSession() {

        return SparkSession.builder().config(getSparkConf(topicProperties))
                .getOrCreate();
    }


    public SparkConf getSparkConf(TopicProperties properties) {
        SparkConf sparkConf = new SparkConf()
                .setAppName("local_spark_statistics")
                .setMaster("local")
                .set("spark.serializer","org.apache.spark.serializer.KryoSerializer")
                .set("spark.mongodb.output.uri",properties.getSparkMongodbOutCollection());
        sparkConf.registerKryoClasses((Class<?>[]) Arrays.asList(ConsumerRecord.class).toArray());
        return sparkConf;
    }
}

TopicProperties

package com.aeotrade.provider.config;

import lombok.Data;
import lombok.ToString;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Configuration;

import java.io.Serializable;
import java.util.HashMap;
import java.util.Map;

//@ConfigurationProperties(
//        prefix = "aeotrade"
//)
@Configuration
@Data
@ToString
public class TopicProperties implements Serializable {
    @Value("${aeotrade.topic.name}")
    private String name = null;
    @Value("${aeotrade.topic.group-id}")
    private String groupId = "dec_msg_group";

    // MongoDB 的服务器地址 mongodb://host:port/
    @Value("${aeotrade.mongodb.uri}")
    private String mongodburi = null;

    @Value("${aeotrade.mongodb.db}")
    private String mongoDatabase = null;

    @Value("${aeotrade.mongodb.username}")
    private String mongoUsername = null;
    @Value("${aeotrade.mongodb.password}")
    private String mongoPassword = null;

    @Value("${spark.mongodb.out.collection}")
    private String sparkMongodbOutCollection;


    private HashMap<String, String> mongodbConfig = null;


    public HashMap<String, String> toMongoConfig() {
        //HashMap mongodbConfig = null;
        if (mongodbConfig == null) {
            mongodbConfig = new HashMap<>();
            mongodbConfig.put("uri", mongodburi);
            mongodbConfig.put("database", mongoDatabase);
            mongodbConfig.put("userName",mongoUsername);
            mongodbConfig.put("password",mongoPassword);
        }
        return mongodbConfig;
    }

    public Map<String, String> getMongodbConfig() {
        return toMongoConfig();
    }
}

3.4创建@PostConstruct方法 接收数据

@PostConstruct注解好多人以为是Spring提供的。其实是Java自己的注解。

Java中该注解的说明：@PostConstruct该注解被用来修饰一个非静态的void（）方法。被@PostConstruct修饰的方法会在服务器加载Servlet的时候运行，并且只会被服务器执行一次。PostConstruct在构造函数之后执行，init（）方法之前执行。

通常我们会是在Spring框架中使用到@PostConstruct注解 该注解的方法在整个Bean初始化中的执行顺序：

Constructor(构造方法) -> @Autowired(依赖注入) -> @PostConstruct(注释的方法)

应用：在静态方法中调用依赖注入的Bean中的方法。

package com.aeotrade.provider.consumer;

import com.aeotrade.provider.config.TopicProperties;
import com.aeotrade.provider.dto.MgLogEntity;
import com.aeotrade.provider.kafka.DocumentSender;
import com.aeotrade.provider.model.entity.LogConfiguration;
import com.aeotrade.provider.service.LogConfigurationService;
import com.alibaba.fastjson.JSONObject;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.springframework.beans.BeansException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.ApplicationContext;
import org.springframework.context.ApplicationContextAware;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.query.Query;
import org.springframework.stereotype.Component;

import javax.annotation.PostConstruct;
import javax.annotation.PreDestroy;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

/**
 * @Author: yewei
 * @Date: 14:17 2020/11/30
 * @Description:
 */
@Component
public class LogConsumer implements ApplicationContextAware {

    @Value("${spring.kafka.bootstrap-servers}")
    private String bootstrapServers = null;
    @Autowired
    private DocumentSender documentSender;
    @Autowired
    private TopicProperties topicProperties = null;
    @Autowired
    private MongoTemplate mongoTemplate;


    @PostConstruct
    public void start() throws InterruptedException {
        System.out.println("===============  data streaming start  ========== ");
        Map<String, Object> kafkaParams = new HashMap<>();
        kafkaParams.put("bootstrap.servers", bootstrapServers);
        kafkaParams.put("key.deserializer", StringDeserializer.class);
        kafkaParams.put("value.deserializer", StringDeserializer.class);
        kafkaParams.put("group.id", topicProperties.getGroupId());
        kafkaParams.put("auto.offset.reset", "earliest");//latest ,  earliest
        kafkaParams.put("enable.auto.commit", true);

        //List rules = labelService.rules();

        new LogSparkjob().start(kafkaParams, topicProperties);
    }


    @Override
    public void setApplicationContext(ApplicationContext applicationContext) throws BeansException {
        try{
        //这里可以加载自己的业务逻辑
            LogConfigurationService logConfigurationService = applicationContext.getBean(LogConfigurationService.class);
            List<LogConfiguration> list = logConfigurationService.findAll();
            list.forEach(log->{
                System.out.println("规则详情____________________________________");
                System.out.println(log);
            });
        }catch (Exception ex) {
            ex.printStackTrace(System.err);

        }
    }

    @PreDestroy
    public void shutdown() {
        System.out.println("===============  data streaming shutdown ");
    }

}

3.5从 Kafka 中直接读取数据

1.创建JavaStreamingContext对象

 Collection topics = Arrays.asList(topicProps.getName());

        SparkConfiguration configuration = new SparkConfiguration(topicProps);

        final SparkSession session = configuration.sparkSession();
        final JavaSparkContext sparkContext = new JavaSparkContext(session.sparkContext());
        // 建立数据流，每 10 秒读取一批数据
        //创建JavaStreamingContext对象
        JavaStreamingContext streamingContext = new JavaStreamingContext(sparkContext, Durations.seconds(5));
        // 建立实时数据流，从 Kafka 中直接读取数据，实现 零 拷贝。
        //创建DStream
        JavaInputDStream> stream = KafkaUtils.createDirectStream(
                streamingContext,
                LocationStrategies.PreferConsistent(),
                ConsumerStrategies.Subscribe(topics, params)
        );
        System.out.println("==================== stream ============== ");
        // 使用 Spark 的 map 操作进行数据转换。
        JavaDStream docStream = stream.flatMap(new LogTransformerFunction(topicProperties.toMongoConfig()));

这里采用的是docStream.foreachRDD 里面不能直接注入MongoTemplate,或者 mybatils 所以直接用 的MongoConnector 去create 一个连接
2.这里是多维度统计

 private void countUrl(MgLogEntity logEntity) throws IOException {

        String format = new SimpleDateFormat("yyyyMMdd").format(logEntity.getTime());
        int countTime = Integer.parseInt(format);
        Document query = new Document();
        query.put("countTime",countTime);
        query.put("url",logEntity.getUrl());
        Document document = MongodbService.findDocument(LogDomentName.urlPv, query, topicProperties.toMongoConfig());
        if(document==null){
            MgLogUrlStat logUrlStat = new MgLogUrlStat();
            BeanUtils.copyProperties(logEntity,logUrlStat);
            logUrlStat.setCountTime(countTime);
            logUrlStat.setCount(1);
            MongodbService.saveMongodb(LogDomentName.urlPv, JacksonUtil.parseJson(JacksonUtil.
                    toJson(logUrlStat), Document.class),topicProperties.toMongoConfig());
        }else {
            Integer count = document.getInteger("count");
            Integer integer = count+1;
            document.put("count",integer);
            MongodbService.saveMongodb(LogDomentName.urlPv, document,topicProperties.toMongoConfig());
        }
    }

每次插入前都会先将时间转换为yyyyMMdd Int类型根据天来查询是否有数据 ,有的话直接count+1没有 count=1确保每个请求一天只有一条数据
这样可扩展 ,天,周,月,季度,年等维度,而且存入统计的数据不会很大.
这也是不采用直接在表上加一列的原因,这里可以实现自己的很多业务逻辑,
也可以匹配规则,来筛选

下面是具体源码
消费kafka数据,筛选过滤,分别保存的代码

package com.aeotrade.provider.consumer;

import com.aeotrade.provider.config.SparkConfiguration;
import com.aeotrade.provider.config.TopicProperties;
import com.aeotrade.provider.dto.MgLogEntity;
import com.aeotrade.provider.model.entity.MgAppClickStat;
import com.aeotrade.provider.model.entity.MgAppPayStat;
import com.aeotrade.provider.model.entity.MgLogUrlStat;
import com.aeotrade.provider.service.LogDomentName;
import com.aeotrade.provider.service.MongodbService;
import com.aeotrade.provider.utils.JacksonUtil;
import com.alibaba.fastjson.JSONObject;
import com.mongodb.client.FindIterable;
import com.mongodb.client.MongoCollection;
import com.mongodb.spark.MongoConnector;
import com.mongodb.spark.config.ReadConfig;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.streaming.Durations;
import org.apache.spark.streaming.api.java.JavaDStream;
import org.apache.spark.streaming.api.java.JavaInputDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;
import org.apache.spark.streaming.kafka010.ConsumerStrategies;
import org.apache.spark.streaming.kafka010.KafkaUtils;
import org.apache.spark.streaming.kafka010.LocationStrategies;
import org.bson.Document;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.mongodb.core.query.Criteria;
import org.springframework.data.mongodb.core.query.Query;

import java.io.IOException;
import java.io.Serializable;
import java.text.SimpleDateFormat;
import java.util.*;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

/**
 * 慧贸贸日志的 SparkJob
 */
@Slf4j
public class LogSparkjob implements Serializable {
    public static final String UNIQUE_KEY_FIELD = "_unique_key";
    public static final String BUS_KEY_FIELD = "bid";
    private TopicProperties topicProperties = null;


    public void start(Map<String, Object> params, TopicProperties topicProps) throws InterruptedException {
        this.topicProperties = topicProps;
        Collection<String> topics = Arrays.asList(topicProps.getName());

        SparkConfiguration configuration = new SparkConfiguration(topicProps);

        final SparkSession session = configuration.sparkSession();
        final JavaSparkContext sparkContext = new JavaSparkContext(session.sparkContext());
        // 建立数据流，每 10 秒读取一批数据
        //创建JavaStreamingContext对象
        JavaStreamingContext streamingContext = new JavaStreamingContext(sparkContext, Durations.seconds(5));
        // 建立实时数据流，从 Kafka 中直接读取数据，实现 零 拷贝。
        //创建DStream
        JavaInputDStream<ConsumerRecord<String, String>> stream = KafkaUtils.createDirectStream(
                streamingContext,
                LocationStrategies.PreferConsistent(),
                ConsumerStrategies.<String, String>Subscribe(topics, params)
        );
        System.out.println("==================== stream ============== ");
        // 使用 Spark 的 map 操作进行数据转换。
        JavaDStream<MgLogEntity> docStream = stream.flatMap(new LogTransformerFunction(topicProperties.toMongoConfig()));

        docStream.print(10);
        docStream.foreachRDD(rdd->{
            List<MgLogEntity> collect = rdd.collect();
            collect.forEach(logEntity->{
                if(logEntity!=null) {
                    try {
                        /**保存源数据*/
                        MongodbService.saveMongodb("hmm_log", JacksonUtil.parseJson(JacksonUtil.
                                toJson(logEntity), Document.class),topicProperties.toMongoConfig());
                        /**按照统计url,和时间统计访问量*/
                        countUrl(logEntity);
                        /**统计app点击量*/
                        Pattern pattern = Pattern.compile("^[/cloud/app/](.*?)\\d$");
                        Matcher matcher = pattern.matcher(logEntity.getUrl());
                        if( matcher.find()) {
                            appClickStat(logEntity);
                        }
                        /**统计app购买量*/
                        if(logEntity.getUrl().equals("/cloud/order/confirmpayment") && StringUtils.isEmpty(logEntity.getParam())
                        && logEntity.getStatus()==200){
                            appPaycount(logEntity);
                        }
                        /**统计app使用量*/
                        if(logEntity.getUrl().equals("/cloud/app/oauth") && StringUtils.isEmpty(logEntity.getParam())
                                && logEntity.getStatus()==200){
                            appusecount(logEntity);
                        }
                    } catch (IOException e) {
                        e.printStackTrace();
                    }
                }
            });
        });
        streamingContext.start();
        try {
            streamingContext.awaitTermination();
        } catch (InterruptedException e) {
            e.printStackTrace(System.err);
        }
        streamingContext.close();
    }

    private void appusecount(MgLogEntity logEntity) throws IOException {
        String format = new SimpleDateFormat("yyyyMMdd").format(logEntity.getTime());
        int countTime = Integer.parseInt(format);
        Map<String, String> split = Split(logEntity.getParam());
        Long appId = Long.valueOf(split.get("appId"));
        Long memberid = Long.valueOf(split.get("id"));
        Document query = new Document();
        query.put("countTime",countTime);
        query.put("url",logEntity.getUrl());
        query.put("memberId",memberid);
        query.put("appId",appId);
        query.put("type",2);
        Document document = MongodbService.findDocument(LogDomentName.appPay, query, topicProperties.toMongoConfig());
        if(document==null){
            MgAppPayStat app= new MgAppPayStat();
            BeanUtils.copyProperties(logEntity,app);
            app.setCountTime(countTime);
            app.setAppId(appId);
            app.setMemberId(memberid);
            app.setCount(1);
            app.setType(2);
            MongodbService.saveMongodb(LogDomentName.appPv, JacksonUtil.parseJson(JacksonUtil.
                    toJson(app), Document.class),topicProperties.toMongoConfig());
        }else {
            Integer count = document.getInteger("count");
            Integer integer = count+1;
            document.put("count",integer);
            MongodbService.saveMongodb(LogDomentName.appPv, document,topicProperties.toMongoConfig());
        }
    }

    private void appPaycount(MgLogEntity logEntity) throws IOException {
        String format = new SimpleDateFormat("yyyyMMdd").format(logEntity.getTime());
        int countTime = Integer.parseInt(format);
        Map<String, String> split = Split(logEntity.getParam());
        Long appId = Long.valueOf(split.get("appId"));
        Long memberid = Long.valueOf(split.get("memberid"));
        Document query = new Document();
        query.put("countTime",countTime);
        query.put("url",logEntity.getUrl());
        query.put("appId",appId);
        query.put("type",1);
        Document document = MongodbService.findDocument(LogDomentName.appPay, query, topicProperties.toMongoConfig());
        if(document==null){
            MgAppPayStat app= new MgAppPayStat();
            BeanUtils.copyProperties(logEntity,app);
            app.setCountTime(countTime);
            app.setAppId(appId);
            app.setMemberId(memberid);
            app.setCount(1);
            app.setType(1);
            MongodbService.saveMongodb(LogDomentName.appPay, JacksonUtil.parseJson(JacksonUtil.
                    toJson(app), Document.class),topicProperties.toMongoConfig());
        }else {
            Integer count = document.getInteger("count");
            Integer integer = count+1;
            document.put("count",integer);
            MongodbService.saveMongodb(LogDomentName.appPay, document,topicProperties.toMongoConfig());
        }
    }

    private void appClickStat(MgLogEntity logEntity) throws IOException {
        boolean isClickUrl = logEntity.getUrl().startsWith("/cloud/app/");
        if(isClickUrl) {
            String format = new SimpleDateFormat("yyyyMMdd").format(logEntity.getTime());
            int countTime = Integer.parseInt(format);
            Document query = new Document();
            query.put("countTime", countTime);
            query.put("url", logEntity.getUrl());
            Document document = MongodbService.findDocument(LogDomentName.appPv, query, topicProperties.toMongoConfig());
            if (document == null) {
                MgAppClickStat app = new MgAppClickStat();
                BeanUtils.copyProperties(logEntity, app);
                app.setCountTime(countTime);
                String[] split = logEntity.getUrl().split("/");
                Long aLong = Long.valueOf(split[split.length - 1]);
                app.setAppId(aLong);
                app.setCount(1);
                MongodbService.saveMongodb(LogDomentName.appPv, JacksonUtil.parseJson(JacksonUtil.
                        toJson(app), Document.class), topicProperties.toMongoConfig());
            } else {
                Integer count = document.getInteger("count");
                Integer integer = count + 1;
                document.put("count", integer);
                MongodbService.saveMongodb(LogDomentName.appPv, document, topicProperties.toMongoConfig());
            }
        }
    }

    private void countUrl(MgLogEntity logEntity) throws IOException {

        String format = new SimpleDateFormat("yyyyMMdd").format(logEntity.getTime());
        int countTime = Integer.parseInt(format);
        Document query = new Document();
        query.put("countTime",countTime);
        query.put("url",logEntity.getUrl());
        Document document = MongodbService.findDocument(LogDomentName.urlPv, query, topicProperties.toMongoConfig());
        if(document==null){
            MgLogUrlStat logUrlStat = new MgLogUrlStat();
            BeanUtils.copyProperties(logEntity,logUrlStat);
            logUrlStat.setCountTime(countTime);
            logUrlStat.setCount(1);
            MongodbService.saveMongodb(LogDomentName.urlPv, JacksonUtil.parseJson(JacksonUtil.
                    toJson(logUrlStat), Document.class),topicProperties.toMongoConfig());
        }else {
            Integer count = document.getInteger("count");
            Integer integer = count+1;
            document.put("count",integer);
            MongodbService.saveMongodb(LogDomentName.urlPv, document,topicProperties.toMongoConfig());
        }
    }
    public  Map<String,String> Split(String urlparam){
        Map<String,String> map = new HashMap<String,String>();
        String[] param =  urlparam.split("&");
        for(String keyvalue:param){
            String[] pair = keyvalue.split("=");
            if(pair.length==2){
                map.put(pair[0], pair[1]);
            }
        }
        return map;
    }

}

MongodbService,主要用来查询和保存到MongoDB

package com.aeotrade.provider.service;

import com.aeotrade.provider.dto.MgLogEntity;
import com.mongodb.client.FindIterable;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.result.UpdateResult;
import com.mongodb.spark.MongoConnector;
import com.mongodb.spark.config.ReadConfig;
import com.mongodb.spark.config.WriteConfig;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD;
import org.bson.Document;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.stereotype.Component;
import org.springframework.stereotype.Service;

import java.util.Date;
import java.util.Map;

/**
 * @Author: yewei
 * @Date: 9:16 2020/12/3
 * @Description:
 */

@Component
public class MongodbService {


    public static void saveMongodb(String collectionName, Document document, Map<String, String> mongoConfig) {
        try {
            Long time = document.getLong("time");
            Date date = new Date(time);
            document.put("time",date) ;
        }catch (Exception e){

        }
        mongoConfig.put("collection",collectionName);
        mongoConfig.put("replaceDocument","false");
        WriteConfig writeConfig = WriteConfig.create(mongoConfig);
        MongoConnector connector = MongoConnector.create(writeConfig.asJavaOptions());
        connector.withCollectionDo(writeConfig, Document.class, new Function<MongoCollection<Document>, Document>() {

            @Override
            public Document call(MongoCollection<Document> collection) throws Exception {
                if (document.containsKey("_id")) {
                    Document searchDoc = new Document();
                    searchDoc.put("_id", document.get("_id"));
                    UpdateResult ur = collection.replaceOne(searchDoc, document);
                    if (ur.getMatchedCount() == 0) {
                        collection.insertOne(document);
                    }

                } else {

                    collection.insertOne(document);

                }
                return document;
            }
        });
    }

    public static Document findDocument(String table, Document query, Map<String, String> mongoConfig) {
        mongoConfig.put("collection",table);
        ReadConfig readConfig = ReadConfig.create(mongoConfig);

        MongoConnector connector = MongoConnector.create(readConfig.asJavaOptions());
        MongoCollection<Document> collection = connector.withCollectionDo(readConfig, Document.class, new Function<MongoCollection<Document>, MongoCollection>() {

            @Override
            public MongoCollection call(MongoCollection<Document> collection) throws Exception {
                return collection;
            }
        });
        FindIterable<Document> findIterable = collection.find(query);
        readConfig = null;
        collection = null;
        Document document = findIterable.first();
        if (document==null)return null;
        return document;
    }
}

有的地方还没有重构和细化,以上仅是自己理解,不妥之处请批评指正