hive (student_test)> use student;
OK
Time taken: 0.015 seconds
hive (student)> create table if not exists student_test(
> id int comment 'the number of a student',
> basic_info struct<name:string,age:int> comment 'the basic information of a student')
> row format delimited fields terminated by ','
> collection items terminated by ':';
OK
Time taken: 0.664 seconds
hive (student)> show tables;
OK
student_test
Time taken: 0.051 seconds
hive (student)> describe student_test;
OK
id int the number of a student
basic_info struct<name:string,age:int> the basic information of a student
Time taken: 0.129 seconds
hive (student)> describe extended student_test;
OK
id int the number of a student
basic_info struct<name:string,age:int> the basic information of a student
Detailed Table Information Table(tableName:student_test, dbName:student, owner:landen, createTime:1364541810, lastAccessTime:0, retention:0, sd:StorageDescriptor(cols:[FieldSchema(name:id, type:int, comment:the number of a student), FieldSchema(name:basic_info, type:struct<name:string,age:int>, comment:the basic information of a student)], location:hdfs://localhost:9000/home/landen/UntarFile/hive-0.10.0/user/hive/warehouse/student.db/student_test, inputFormat:org.apache.hadoop.mapred.TextInputFormat, outputFormat:org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat, compressed:false, numBuckets:-1, serdeInfo:SerDeInfo(name:null, serializationLib:org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, parameters:{colelction.delim=:, serialization.format=,, field.delim=,}), bucketCols:[], sortCols:[], parameters:{}, skewedInfo:SkewedInfo(skewedColNames:[], skewedColValues:[], skewedColValueLocationMaps:{}), storedAsSubDirectories:false), partitionKeys:[], parameters:{transient_lastDdlTime=1364541810}, viewOriginalText:null, viewExpandedText:null, tableType:MANAGED_TABLE)
Time taken: 0.092 seconds
hive (student)> load data local inpath '/home/landen/文档/student.txt'
> overwrite into table student_test;
Copying data from file:/home/landen/文档/student.txt
Copying file: file:/home/landen/文档/student.txt
Loading data to table student.student_test
Deleted hdfs://localhost:9000/home/landen/UntarFile/hive-0.10.0/user/hive/warehouse/student.db/student_test
Table student.student_test stats: [num_partitions: 0, num_files: 1, num_rows: 0, total_size: 67, raw_data_size: 0]
OK
Time taken: 0.581 seconds
hive (student)> select * from student_test;
OK
1 {"name":"KaiLee","age":24}
2 {"name":"DuoPing","age":24}
3 {"name":"JiangTao","age":25}
4 {"name":"LiuRiJi","age":23}
5 {"name":"GuangYuan","age":25}
Time taken: 0.097 seconds
hive (student)> select id,basic_info.name from student_test;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_201303271617_0010, Tracking URL = http://localhost:50030/jobdetails.jsp?jobid=job_201303271617_0010
Kill Command = /home/landen/UntarFile/hadoop-1.0.4/libexec/../bin/hadoop job -kill job_201303271617_0010
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
2013-03-29 15:40:17,082 Stage-1 map = 0%, reduce = 0%
2013-03-29 15:40:23,112 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 0.73 sec
2013-03-29 15:40:24,117 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 0.73 sec
2013-03-29 15:40:25,123 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 0.73 sec
2013-03-29 15:40:26,127 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 0.73 sec
2013-03-29 15:40:27,132 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 0.73 sec
2013-03-29 15:40:28,138 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 0.73 sec
2013-03-29 15:40:29,142 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 0.73 sec
MapReduce Total cumulative CPU time: 730 msec
Ended Job = job_201303271617_0010
MapReduce Jobs Launched:
Job 0: Map: 1 Cumulative CPU: 0.73 sec HDFS Read: 332 HDFS Write: 52 SUCCESS
Total MapReduce CPU Time Spent: 730 msec
OK
1 KaiLee
2 DuoPing
3 JiangTao
4 LiuRiJi
5 GuangYuan
Time taken: 22.811 seconds
hive (student)>
student.txt的内容如下：
1,KaiLee:24
2,DuoPing:24
3,JiangTao:25
4,LiuRiJi:23
5,GuangYuan:25
