Hive环境搭建02

1、启动Hadoop

2、启动metastore

./hive --service metastore &

3、启动hive

./hive

4、建表

show tables
create table inpatient(
PATIENT_NO String COMMENT '住院号',
NAME String COMMENT '姓名',
SEX_CODE String COMMENT '性别',
BIRTHDATE TIMESTAMP COMMENT '生日',
BALANCE_COST String COMMENT '总费用'
)
COMMENT '住院患者基本信息'
ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' ESCAPED BY '\\'
STORED AS TEXTFILE

5、查看表

show tables;
describe inpatient;

6、加载数据

#从hdfs加载
./hadoop fs -put ~/Deploy/testdata/inpatient.txt /usr/hadoop/
load data inpath '/usr/hadoop/inpatient.txt' into table inpatient
#从本地加载
load data local inpath '/home/hadoop/Deploy/testdata/inpatient.txt' into table inpatient

7、那先来做一个查询,看下男女各多少人

hive> select count(*),sex_code from inpatient group by sex_code;
Query ID = hadoop_20161221104618_d530ab5e-d1c9-48c9-a5da-dff47f81786d
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks not specified. Estimated from input data size: 1
In order to change the average load for a reducer (in bytes):
  set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
  set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
  set mapreduce.job.reduces=<number>
Starting Job = job_1482286286190_0005, Tracking URL = http://hadoop-master:8088/proxy/application_1482286286190_0005/
Kill Command = /home/hadoop/Deploy/hadoop-2.5.2/bin/hadoop job  -kill job_1482286286190_0005
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
2016-12-21 10:46:39,640 Stage-1 map = 0%,  reduce = 0%
2016-12-21 10:47:08,810 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 3.39 sec
2016-12-21 10:47:33,013 Stage-1 map = 100%,  reduce = 100%, Cumulative CPU 5.5 sec
MapReduce Total cumulative CPU time: 5 seconds 500 msec
Ended Job = job_1482286286190_0005
MapReduce Jobs Launched:
Stage-Stage-1: Map: 1  Reduce: 1   Cumulative CPU: 5.5 sec   HDFS Read: 43317170 HDFS Write: 26 SUCCESS
Total MapReduce CPU Time Spent: 5 seconds 500 msec
OK
4       "0"
60479   "F"
54928   "M"
Time taken: 77.198 seconds, Fetched: 3 row(s)

8.删除表

drop table inpatient;

9.执行dfs命令

dfs -ls /

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