【电商日志项目之四】数据清洗-ETL

环境
　　hadoop-2.6.5

　　首先要知道为什么要做数据清洗？通过各个渠道收集到的数据并不能直接用于下一步的分析，所以需要对这些数据进行缺失值清洗、格式内容清洗、逻辑错误清洗、非需求数据清洗、关联性验证等处理操作，转换成可用的数据。
具体要做的工作可以参考文章：数据清洗的一些梳理

当了解ETL之后，有一些工具，比如开源kettle可以做这个工作。但是也可以完全自己开发，ETL无非就是三个阶段：数据抽取、数据清洗、清洗后数据存储。比如可借助hadoop、spark、kafka都可以做这个工作，清洗的规则可以按需开发。
这里借助hadoop编写MR来完成ETL工作。

根据架构图设计，ETL之后的数据要存到HBase,所以ETL阶段整个工作分四块：
1、过滤脏数据
2、解析IP-IPSeeker
3、浏览器信息解析-UASparser
4、设计rowkey

Runner:

package com.sxt.etl.mr.ald;

import java.io.IOException;

import org.apache.commons.lang.StringUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.log4j.Logger;

import com.sxt.common.EventLogConstants;
import com.sxt.common.GlobalConstants;
import com.sxt.util.TimeUtil;

/**
 * 编写mapreduce的runner类
 *
 */
public class AnalyserLogDataRunner implements Tool
{
    private static final Logger logger = Logger.getLogger(AnalyserLogDataRunner.class);
    private Configuration conf = null;

    public static void main(String[] args)
    {
        try
        {
            ToolRunner.run(new Configuration(), new AnalyserLogDataRunner(), args);
        }
        catch (Exception e)
        {
            logger.error("执行日志解析job异常", e);
            throw new RuntimeException(e);
        }
    }

    @Override
    public void setConf(Configuration conf) {
        conf.set("fs.defaultFS", "hdfs://node1:8020");
         //conf.set("yarn.resourcemanager.hostname", "node3");
        //conf.set("hbase.zookeeper.quorum", "node1,node2,node3");//用来连接HBase
        conf.set("hbase.zookeeper.quorum", "node104");//用来连接HBase
        this.conf = HBaseConfiguration.create(conf);
    }

    @Override
    public Configuration getConf() {
        return this.conf;
    }

    @Override
    public int run(String[] args) throws Exception {
        Configuration conf = this.getConf();
        this.processArgs(conf, args);

        Job job = Job.getInstance(conf, "analyser_logdata");

        // 设置本地提交job，集群运行，需要代码
        // File jarFile = EJob.createTempJar("target/classes");
        // ((JobConf) job.getConfiguration()).setJar(jarFile.toString());
        // 设置本地提交job，集群运行，需要代码结束

        job.setJarByClass(AnalyserLogDataRunner.class);
        job.setMapperClass(AnalyserLogDataMapper.class);
        job.setMapOutputKeyClass(NullWritable.class);
        job.setMapOutputValueClass(Put.class);
        // 设置reducer配置
        // 1. 集群上运行，打成jar运行(要求addDependencyJars参数为true，默认就是true)
        // TableMapReduceUtil.initTableReducerJob(EventLogConstants.HBASE_NAME_EVENT_LOGS,null, job);
        // 2. 本地运行，要求参数addDependencyJars为false
        TableMapReduceUtil.initTableReducerJob(
                EventLogConstants.HBASE_NAME_EVENT_LOGS,
                null,
                job,
                null,
                null,
                null,
                null,
                false);
        job.setNumReduceTasks(0);

        // 设置输入路径
        this.setJobInputPaths(job);
        return job.waitForCompletion(true) ? 0 : -1;
    }

    /**
     * 处理参数
     *
     * @param conf
     * @param args
     */
    private void processArgs(Configuration conf, String[] args) {
        String date = null;
        for (int i = 0; i < args.length; i++) {
            if ("-d".equals(args[i])) {
                if (i + 1 < args.length) {
                    date = args[++i];
                    break;
                }
            }
        }

        System.out.println("-----" + date);

        // 要求date格式为: yyyy-MM-dd
        if (StringUtils.isBlank(date) || !TimeUtil.isValidateRunningDate(date)) {
            // date是一个无效时间数据
            date = TimeUtil.getYesterday(); // 默认时间是昨天
            System.out.println(date);
        }
        conf.set(GlobalConstants.RUNNING_DATE_PARAMES, date);
    }

    /**
     * 设置job的输入路径
     *
     * @param job
     */
    private void setJobInputPaths(Job job)
    {
        Configuration conf = job.getConfiguration();
        FileSystem fs = null;
        try
        {
            fs = FileSystem.get(conf);
            String date = conf.get(GlobalConstants.RUNNING_DATE_PARAMES);
            // Path inputPath = new Path("/flume/" +
            // TimeUtil.parseLong2String(TimeUtil.parseString2Long(date),
            // "MM/dd/"));
            Path inputPath = new Path("/log/"
                    + TimeUtil.parseLong2String(
                            TimeUtil.parseString2Long(date), "yyyyMMdd")
                    + "/");

            if (fs.exists(inputPath))
            {
                FileInputFormat.addInputPath(job, inputPath);
            }
            else
            {
                throw new RuntimeException("文件不存在:" + inputPath);
            }
        }
        catch (IOException e)
        {
            throw new RuntimeException("设置job的mapreduce输入路径出现异常", e);
        }
        finally
        {
            if (fs != null)
            {
                try
                {
                    fs.close();
                }
                catch (IOException e)
                {
                    e.printStackTrace();
                }
            }
        }
    }

}

Mapper:

package com.sxt.etl.mr.ald;

import java.io.IOException;
import java.util.Map;
import java.util.zip.CRC32;

import org.apache.commons.lang.StringUtils;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.log4j.Logger;

import com.sxt.common.EventLogConstants;
import com.sxt.common.EventLogConstants.EventEnum;
import com.sxt.etl.util.LoggerUtil;

/**
 * 自定义数据解析map类
 *
 * @author root
 *
 */
public class AnalyserLogDataMapper extends Mapper<LongWritable, Text, NullWritable, Put>
{
    private final Logger logger = Logger.getLogger(AnalyserLogDataMapper.class);
    private int inputRecords, filterRecords, outputRecords; // 主要用于标志，方便查看过滤数据
    private byte[] family = Bytes.toBytes(EventLogConstants.EVENT_LOGS_FAMILY_NAME);
    private CRC32 crc32 = new CRC32();

    @Override
    protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException
    {
        this.inputRecords++;
        this.logger.debug("Analyse data of :" + value);

        try
        {
            // 解析日志
            Map<String, String> clientInfo = LoggerUtil.handleLog(value.toString());

            // 过滤解析失败的数据
            if (clientInfo.isEmpty()) {
                this.filterRecords++;
                return;
            }

            // 获取事件名称
            String eventAliasName = clientInfo.get(EventLogConstants.LOG_COLUMN_NAME_EVENT_NAME);
            EventEnum event = EventEnum.valueOfAlias(eventAliasName);
            switch (event) {
            case LAUNCH:
            case PAGEVIEW:
            case CHARGEREQUEST:
            case CHARGEREFUND:
            case CHARGESUCCESS:
            case EVENT:
                // 处理数据
                this.handleData(clientInfo, event, context);
                break;
            default:
                this.filterRecords++;
                this.logger.warn("该事件没法进行解析，事件名称为:" + eventAliasName);
            }
        }
        catch (Exception e)
        {
            this.filterRecords++;
            this.logger.error("处理数据发出异常，数据:" + value, e);
        }
    }

    @Override
    protected void cleanup(Context context) throws IOException, InterruptedException {
        super.cleanup(context);
        logger.info("输入数据:" + this.inputRecords + "；输出数据:" + this.outputRecords + "；过滤数据:" + this.filterRecords);
    }

    /**
     * 具体处理数据的方法
     *
     * @param clientInfo
     * @param context
     * @param event
     * @throws InterruptedException
     * @throws IOException
     */
    private void handleData(Map<String, String> clientInfo, EventEnum event,Context context) throws IOException, InterruptedException
    {
        String uuid = clientInfo.get(EventLogConstants.LOG_COLUMN_NAME_UUID);
        String memberId = clientInfo.get(EventLogConstants.LOG_COLUMN_NAME_MEMBER_ID);
        String serverTime = clientInfo.get(EventLogConstants.LOG_COLUMN_NAME_SERVER_TIME);
        if (StringUtils.isNotBlank(serverTime))
        {
            // 要求服务器时间不为空
            clientInfo.remove(EventLogConstants.LOG_COLUMN_NAME_USER_AGENT); // 浏览器信息去掉
            String rowkey = this.generateRowKey(uuid, memberId, event.alias, serverTime); // timestamp
            Put put = new Put(Bytes.toBytes(rowkey));
            for (Map.Entry<String, String> entry : clientInfo.entrySet())
            {
                if (StringUtils.isNotBlank(entry.getKey()) && StringUtils.isNotBlank(entry.getValue()))
                {
                    put.add(family, Bytes.toBytes(entry.getKey()), Bytes.toBytes(entry.getValue()));
                }
            }
            context.write(NullWritable.get(), put);
            this.outputRecords++;
        }
        else
        {
            this.filterRecords++;
        }
    }

    /**
     * 根据uuid memberid servertime创建rowkey
     *
     * @param uuid
     * @param memberId
     * @param eventAliasName
     * @param serverTime
     * @return
     */
    private String generateRowKey(String uuid, String memberId, String eventAliasName, String serverTime)
    {
        StringBuilder sb = new StringBuilder();
        sb.append(serverTime).append("_");
        this.crc32.reset();
        if (StringUtils.isNotBlank(uuid)) {
            this.crc32.update(uuid.getBytes());
        }
        if (StringUtils.isNotBlank(memberId)) {
            this.crc32.update(memberId.getBytes());
        }
        this.crc32.update(eventAliasName.getBytes());
        sb.append(this.crc32.getValue() % 100000000L);
        return sb.toString();
    }
}

处理日志数据的具体工作类:

package com.sxt.etl.util;

import java.net.URLDecoder;
import java.util.HashMap;
import java.util.Map;

import org.apache.commons.lang.StringUtils;
import org.apache.log4j.Logger;

import com.sxt.common.EventLogConstants;
import com.sxt.etl.util.IPSeekerExt.RegionInfo;
import com.sxt.etl.util.UserAgentUtil.UserAgentInfo;
import com.sxt.util.TimeUtil;

/**
 * 处理日志数据的具体工作类
 *
 * @author root
 *
 */
public class LoggerUtil {
    private static final Logger logger = Logger.getLogger(LoggerUtil.class);
    private static IPSeekerExt ipSeekerExt = new IPSeekerExt();

    /**
     * 处理日志数据logText，返回处理结果map集合<br/>
     * 如果logText没有指定数据格式，那么直接返回empty的集合
     *
     * @param logText
     * @return
     */
    public static Map<String, String> handleLog(String logText)
    {
        Map<String, String> clientInfo = new HashMap<String, String>();
        if (StringUtils.isNotBlank(logText))
        {
            //192.168.118.1^A1561656575.201^Anode101^A/log.gif?en=e_l&ver=1&pl=website&sdk=js&u_ud=E5631595-EDC2-4B3B-A306-B19576D74DC3&u_sd=C7C0D4E3-7E60-479B-AC1C-2F5305EC20D4&c_time=1561627763553&l=zh-CN&b_iev=Mozilla%2F5.0%20(Windows%20NT%206.1%3B%20Win64%3B%20x64)%20AppleWebKit%2F537.36%20(KHTML%2C%20like%20Gecko)%20Chrome%2F75.0.3770.100%20Safari%2F537.36&b_rst=1920*1080
            String[] splits = logText.trim().split(EventLogConstants.LOG_SEPARTIOR);
            if (splits.length == 4)
            {
                // 日志格式为: ip^A服务器时间^Ahost^A请求参数
                clientInfo.put(EventLogConstants.LOG_COLUMN_NAME_IP, splits[0].trim()); // 设置ip
                // 设置服务器时间
                clientInfo.put(EventLogConstants.LOG_COLUMN_NAME_SERVER_TIME, String.valueOf(TimeUtil.parseNginxServerTime2Long(splits[1].trim())));
                int index = splits[3].indexOf("?");
                if (index > -1) {
                    String requestBody = splits[3].substring(index + 1); // 获取请求参数，也就是我们的收集数据
                    // 处理请求参数
                    handleRequestBody(requestBody, clientInfo);
                    // 处理userAgent
                    handleUserAgent(clientInfo);
                    // 处理ip地址
                    handleIp(clientInfo);
                } else {
                    // 数据格式异常
                    clientInfo.clear();
                }
            }
        }
        return clientInfo;
    }

    /**
     * 处理ip地址
     *
     * @param clientInfo
     */
    private static void handleIp(Map<String,String> clientInfo) {
        if (clientInfo.containsKey(EventLogConstants.LOG_COLUMN_NAME_IP)) {
            String ip = clientInfo.get(EventLogConstants.LOG_COLUMN_NAME_IP);
            RegionInfo info = ipSeekerExt.analyticIp(ip);
            if (info != null) {
                clientInfo.put(EventLogConstants.LOG_COLUMN_NAME_COUNTRY, info.getCountry());
                clientInfo.put(EventLogConstants.LOG_COLUMN_NAME_PROVINCE, info.getProvince());
                clientInfo.put(EventLogConstants.LOG_COLUMN_NAME_CITY, info.getCity());
            }
        }
    }

    /**
     * 处理浏览器的userAgent信息
     *
     * @param clientInfo
     */
    private static void handleUserAgent(Map<String, String> clientInfo) {
        if (clientInfo.containsKey(EventLogConstants.LOG_COLUMN_NAME_USER_AGENT)) {
            UserAgentInfo info = UserAgentUtil.analyticUserAgent(clientInfo.get(EventLogConstants.LOG_COLUMN_NAME_USER_AGENT));
            if (info != null) {
                clientInfo.put(EventLogConstants.LOG_COLUMN_NAME_OS_NAME, info.getOsName());
                clientInfo.put(EventLogConstants.LOG_COLUMN_NAME_OS_VERSION, info.getOsVersion());
                clientInfo.put(EventLogConstants.LOG_COLUMN_NAME_BROWSER_NAME, info.getBrowserName());
                clientInfo.put(EventLogConstants.LOG_COLUMN_NAME_BROWSER_VERSION, info.getBrowserVersion());
            }
        }
    }

    /**
     * 处理请求参数
     *
     * @param requestBody
     * @param clientInfo
     */
    private static void handleRequestBody(String requestBody, Map<String, String> clientInfo)
    {
        if (StringUtils.isNotBlank(requestBody))
        {
            String[] requestParams = requestBody.split("&");
            for (String param : requestParams)
            {
                if (StringUtils.isNotBlank(param))
                {
                    int index = param.indexOf("=");
                    if (index < 0)
                    {
                        logger.warn("没法进行解析参数:" + param + "， 请求参数为:" + requestBody);
                        continue;
                    }

                    String key = null, value = null;
                    try
                    {
                        key = param.substring(0, index);
                        value = URLDecoder.decode(param.substring(index + 1), "utf-8");
                    }
                    catch (Exception e)
                    {
                        logger.warn("解码操作出现异常", e);
                        continue;
                    }
                    if (StringUtils.isNotBlank(key) && StringUtils.isNotBlank(value))
                    {
                        clientInfo.put(key, value);
                    }
                }
            }
        }
    }
}

HBase创建接收清洗后的数据表：

hbase(main)::> create 'eventlog','log'

代码参考：wjy.rar

参考：
开源ETL工具kettle