hive-sqoop案例

部分原始数据

27.19.74.143 - - [30/May/2013:17:38:20 +0800] "GET /static/image/common/faq.gif HTTP/1.1" 200 1127 110.52.250.126 - - [30/May/2013:17:38:20 +0800] "GET /data/cache/style_1_widthauto.css?y7a HTTP/1.1" 200 1292 27.19.74.143 - - [30/May/2013:17:38:20 +0800] "GET /static/image/common/hot_1.gif HTTP/1.1" 200 680 27.19.74.143 - - [30/May/2013:17:38:20 +0800] "GET /static/image/common/hot_2.gif HTTP/1.1" 200 682

一、初始准备

hive (default)> create database if not exists hm; hive (default)> use hm; hive (hm)> dfs -mkdir -p /hm/log/160630; hive (hm)> dfs -put /home/hadoop/hivetest/access_2013_05_30.log /hm/log/160630

二、mapreduce程序对原数据进行清理

package com.ibeifeng.hadoop.action.hdfs; import java.io.IOException; import java.text.ParseException; import java.text.SimpleDateFormat; import java.util.Locale; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.conf.Configured; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.util.Tool; import org.apache.hadoop.util.ToolRunner; public class Cleaner extends Configured implements Tool{  static class MyMapper extends Mapper{   LogParser parser =new Cleaner().new LogParser();      Text mapOutValue = new Text();   @Override   protected void map(LongWritable key, Text value, Context context)     throws IOException, InterruptedException {    String line = value.toString();    String[] parsed = parser.parse(line);        final String ip = parsed[0];    final String longtime = parsed[1];    String url = parsed[2];         //过滤所有静态的资源请求    if(url.startsWith("GET /static")||url.startsWith("GET /uc_server")){     return;    }    //截取中间的网址部分    if(url.startsWith("GET")){     url = url.substring("GET ".length()+1, url.length()-" HTTP/1.1".length());    }    if(url.startsWith("POST")){     url = url.substring("POST ".length()+1, url.length()-" HTTP/1.1".length());    }        mapOutValue.set(ip+"\t"+longtime+"\t"+url);    context.write(key, mapOutValue);   }     }    static class MyReducer extends Reducer{   @Override   protected void reduce(LongWritable value, Iterable values,Context context)     throws IOException, InterruptedException {    for (Text text : values) {     context.write(text, NullWritable.get());    }   }     }    class LogParser{   //27.19.74.143 - - [30/May/2013:17:38:20 +0800] "GET /static/image/common/faq.gif HTTP/1.1" 200 1127   public final SimpleDateFormat FORMAT = new SimpleDateFormat("d/MMMyyyy:HH:mm:ss", Locale.ENGLISH);   public final SimpleDateFormat FORMAT1 = new SimpleDateFormat("yyyyMMddHHmmss");      /**    * 解析日志的行记录    * @param line 输入的行记录  27.19.74.143 - - [30/May/2013:17:38:20 +0800] "GET /static/image/common/faq.gif HTTP/1.1" 200 1127    * @return 解析成 110.52.250.126 20130530173820 data/cache/style_1_widthauto.css?y7a    */   public String[] parse(String line){        String ip=parseIP(line);        String time ;    try {     time = parseTime(line);    } catch (ParseException e) {     // TODO Auto-generated catch block     e.printStackTrace();     time = "null";    }        String url = parseURL(line);        String status = parseStatus(line);        String traffic = parseTraffic(line);        return new String[]{ip , time ,url , status , traffic};   }   private String parseTraffic(String line) {    String trim = line.substring(line.lastIndexOf("\"")+1).trim();    return trim.split(" ")[1];   }   private String parseStatus(String line) {    String trim = line.substring(line.lastIndexOf("\"")+1).trim();    return trim.split(" ")[0];   }   private String parseURL(String line) {    final int first = line.indexOf("\"");    final int last = line.lastIndexOf("\"");    String url = line.substring(first+1, last);    return url;   }   private String parseTime(String line) throws ParseException {    // TODO Auto-generated method stub    int first = line.indexOf("[");    int last = line.indexOf("+0800]");    String time = line.substring(first+1 ,last).trim();        return FORMAT1.format(FORMAT.parse(time));   }   private String parseIP(String line) {    // TODO Auto-generated method stub    String ip = line.split("- -")[0].trim();    return ip;   }           }  public int run(String[] args) throws Exception {   Configuration conf = getConf();   Job job = Job.getInstance(conf, Cleaner.class.getSimpleName());   job.setJarByClass(Cleaner.class);      FileInputFormat.addInputPath(job, new Path(args[0]));      job.setMapperClass(MyMapper.class);   job.setMapOutputKeyClass(LongWritable.class);   job.setMapOutputValueClass(Text.class);      job.setReducerClass(MyReducer.class);   job.setOutputKeyClass(Text.class);   job.setOutputValueClass(NullWritable.class);      FileSystem fileSystem = FileSystem.newInstance(conf);   Path outPath = new Path(args[1]);   if(fileSystem.exists(outPath)){    fileSystem.delete(outPath, true);   }      FileOutputFormat.setOutputPath(job, outPath);   boolean success = job.waitForCompletion(true);   return success ? 0 : 1;  }  public static void main(String[] args) throws Exception {   Configuration conf = new Configuration();   int status = ToolRunner.run(conf, new Cleaner(), args);   if(status == 0){    System.out.println("成功！");   }else{    System.out.println("失败！");   }   System.exit(status);  } }

使用mapreduce进行数据清理

 

[hadoop@bf1 hadoop-2.5.0-cdh5.3.6]$ bin/hadoop jar /home/hadoop/hivetest/cleaner.jar /hm/log/160630 /hm/cleaned/160630

三、创建hive表

CREATE EXTERNAL TABLE hmbbs (ip string, logtime string, url string) PARTITIONED BY (logdate string) ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t' LOCATION '/hm/cleaned';

添加分区

hive (hm)> alter table hmbbs add partition (logdate = "160630") location "/hm/cleaned/160630";

四、开始分析

1、计算160630的pv

drop table if exists pv_160630; create table pv_160630 row format delimited fields terminated by '\t' as select count(*) from hmbbs where logdate=160630;

2、计算点击次数超过20的前20，vip

drop table if exists vip_160630; create table vip_160630 row format delimited fields terminated by '\t' as select 160630,ip,count(*) as hits from hmbbs where logdate=160630 group by ip having hits >20 order by hits desc limit 20;

五、mysql中创建数据库，及表

[hadoop@bf1 ~]$ mysql -uroot -p123456 mysql> show databases; mysql> create database if not exists hm; mysql> use hm; mysql> create table if not exists pv(pv int);

 

六、利用sqoop从hive导出数据到mysql

bin/sqoop export \ --connect jdbc:mysql://bf1:3306/hm \ --username root \ --password 123456 \ --table pv \ --export-dir "/user/hive/warehouse/hm.db/pv_160630" \ --fields-terminated-by '\t' \ -m 1