以下为驾校科目一模拟考试App用户进行测试的部分数据，请按要求完成统计

 1 用户ID        试卷编号    考试时间    分数
 2 user001    test1    2016-01-01    80
 3 user001    test2    2016-01-03    23
 4 user001    test3    2016-01-05    56
 5 user001    test4    2016-01-07    55

 1 package com.month10b;
 2 
 3 import org.apache.hadoop.io.LongWritable;
 4 import org.apache.hadoop.io.NullWritable;
 5 import org.apache.hadoop.io.Text;
 6 import org.apache.hadoop.mapreduce.Mapper;
 7 
 8 import java.io.IOException;
 9 
10 public class CarMapper extends Mapper<LongWritable, Text,Text, NullWritable> {
11 
12     @Override
13     protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
14       //  super.map(key, value, context);
15 
16         String[] split = value.toString().split(",");
17 
18         int i = Integer.parseInt(split[1].substring(split[1].length() - 1));
19 
20         if (i>=3&& i<=5){
21             context.write(value,NullWritable.get());
22         }
23 
24

 1 package com.month10b;
 2 
 3 import org.apache.hadoop.io.NullWritable;
 4 import org.apache.hadoop.io.Text;
 5 import org.apache.hadoop.mapreduce.Reducer;
 6

 1 package com.month10b;
 2 
 3 import org.apache.hadoop.conf.Configuration;
 4 import org.apache.hadoop.fs.Path;
 5 import org.apache.hadoop.io.NullWritable;
 6 import org.apache.hadoop.io.Text;
 7 import org.apache.hadoop.mapreduce.Job;
 8 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
 9 import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
10 
11 import java.io.IOException;
12 
13 public class CarDriver {
14     public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
15         Configuration configuration = new Configuration();
16 
17         Job job = Job.getInstance(configuration);
18 
19         job.setJarByClass(CarDriver.class);
20         job.setMapperClass(CarMapper.class);
21 
22         job.setMapOutputKeyClass(Text.class);
23         job.setMapOutputValueClass(NullWritable.class);
24 
25 
26         job.setOutputKeyClass(Text.class);
27         job.setOutputValueClass(NullWritable.class);
28 
29 
30         FileInputFormat.setInputPaths(job, new Path("C:\\Users\\Dell\\Desktop\\4.8\\input\\hive.txt"));
31         FileOutputFormat.setOutputPath(job, new Path("C:\\Users\\Dell\\Desktop\\4.8\\output"));
32 
33 
34         boolean b = job.waitForCompletion(true);
35         System.out.println(b);
36 
37 
38     }
39 }

 7 import java.io.IOException;
 8 
 9 public class CarReduce extends Reducer<Text,NullWritable,Text,NullWritable> {
10 
11     @Override
12     protected void reduce(Text key, Iterable<NullWritable> values, Context context) throws IOException, InterruptedException {
13         context.write(key,NullWritable.get());
14     }
15 }

25     }
26 }

 6 user001    test5    2016-01-09    67
 7 user002    test1    2016-01-01    86
 8 user002    test1    2016-01-02    45
 9 user002    test2    2016-01-03    89
10 user002    test3    2016-01-05    12
11 user002    test4    2016-01-07    78
12 user002    test5    2016-01-09    76
13 user002    test5    2016-01-09    87
14 user002    test5    2016-01-11    71
15 user003    test6    2016-01-01    35
16 user003    test7    2016-01-02    97
17 user003    test1    2016-01-03    27
18 user003    test1    2016-01-04    98
19 user003    test8    2016-01-05    23
20 user003    test3    2016-01-05    88
21 user003    test3    2016-01-06    91
22 user003    test8    2016-01-07    37
23 user003    test1    2016-01-08    23
24 user003    test2    2016-01-09    97
25 user003    test3    2016-01-10    18
26 user003    test3    2016-01-12    45
27 user003    test4    2016-01-13    23
28 user003    test5    2016-01-15    78
29 user003    test5    2016-01-16    23
30 user003    test5    2016-01-18    12
31 user004    test6    2016-01-01    89
32 user004    test5    2016-01-01    12
33 user004    test7    2016-01-02    98
34 user004    test1    2016-01-03    22
35 user004    test9    2016-01-03    67
36 user004    test5    2016-01-04    29
37 user004    test8    2016-01-05    87
38 user004    test3    2016-01-06    65
39 user004    test8    2016-01-07    34
40 user004    test1    2016-01-08    12
41 user004    test2    2016-01-09    89
42 user004    test3    2016-01-10    23

 1 create  table  hive (userid  string,shijuanid string, examtime  string,socre  int )
 2 row  format  delimited fields terminated by ',' ;
 3 
 4 4)    使用SQL按userID（用户ID）分组统计每个ID的模拟考试次数，并按照次数倒序排序。（6分）
 5 select     userid,count(*)  as aaa  from  hive  group  by  userid  order  by  aaa desc;   
 6 
 7 5)    使用SQL统计出考试次数最多的试卷编号。（6分）
 8 
 9 select  shijuanid,count(*) bianhao  from  hive    group  by  shijuanid  order  by  bianhao  desc  limit  1;
10 
11 6)    使用SQL统计出各试卷的考试成绩平均分，并按照分数正序排序。（6分）
12 select  shijuanid,avg(socre) pjf  from  hive     group  by  shijuanid   order  by  pjf;  
13 
14 7)    使用SQL统计出分数最高的五条记录并按照分数倒序排序（6分）
15 select  *  from  hive  order  by  socre  desc  limit  5;

43 user004    test3    2016-01-12    77
44 user004    test4    2016-01-13    85
45 user004    test5    2016-01-15    34
46 user004    test1    2016-01-16    76
47 user004    test4    2016-01-17    57    
48 
49     1)    使用MapReduce对以上数据进行过滤，只留下编号为test3至test5之间的记录，并将其保存到HDFS的/car/logs目录下。其中，编写MR过滤代码逻辑（6分），运行程序并输出结果到HDFS（6分）    
50 2)编写Linux脚本，内容为：将/car/logs目录中内容拷贝到hive目录中。并执行脚本，检查结果（6分）
51 3)    创建Hive表，分析拷贝过来的数据。（6分）
52 create  table  hive (userid  string,shijuanid string, examtime  string,socre  int )
53 row  format  delimited fields terminated by ',' ;
54 4)    使用SQL按userID（用户ID）分组统计每个ID的模拟考试次数，并按照次数倒序排序。（6分）
55 5)    使用SQL统计出考试次数最多的试卷编号。（6分）
56 6)    使用SQL统计出各试卷的考试成绩平均分，并按照分数正序排序。（6分）
57 7)    使用SQL统计出分数最高的五条记录并按照分数倒序排序（6分）