HIVE 第七章 数据导入

Posted 2021-04-29 麦田里的守望者

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Hive 数据导入

 IMPORT DATA

> > > >

创建分区表

  create table if not exists t_user(    name string comment 'this is name',    salary float comment 'salary of user',    subordinates array<string> comment 'names of  suordinates',    deductions map<string,float> comment 'names>percentage'  )comment 'user table'  partitioned by (country string,state string)  row format delimited    fields terminated by ','    collection items terminated by '|'    map keys terminated by '>'  lines terminated by '\n'    stored as textfile    location '/hive/database/baizhi.db/t_user'    tblproperties ('creator'='jiangzz') 

> > > >

构造数据

u1,15000,zhangsan|lisi|wangwu,Salray Taxes>0.25|Shopping Taxes>0.1         u2,10000,zhangsan|lisi|wangwu,Salray Taxes>0.25|Shopping Taxes>0.1         u3,8000,zhangsan|lisi|wangwu,Salray Taxes>0.25|Shopping Taxes>0.1           u4,9000,zhangsan|lisi|wangwu,Salray Taxes>0.25|Shopping Taxes>0.1

 将该数据上传到本地/root/userData_cn目录下。

u5,15000,zhangsan|lisi|wangwu,Salray Taxes>0.25|Shopping Taxes>0.1         u6,10000,zhangsan|lisi|wangwu,Salray Taxes>0.25|Shopping Taxes>0.1         u7,8000,zhangsan|lisi|wangwu,Salray Taxes>0.25|Shopping Taxes>0.1           u8,9000,zhangsan|lisi|wangwu,Salray Taxes>0.25|Shopping Taxes>0.1

 将该数据上传到本地/root/userData_us目录下。

> > > >

上传数据

hive>load data local inpath '/root/userData_cn' 

  >overwrite into table 

   >t_user partition(country='china',state='beijing');

hive>load data local inpath '/root/userData_us' 

   >overwrite into table 

   >t_user partition(country='china',state='shanghai');

> > > >

查询数据

hive> set hive.cli.print.header=true;

hive> select name,salary,country,state from t_user order by salary desc ;

name    salary  country state

u5      15000.0 china   shanghai

u1      15000.0 china   beijing

u6      10000.0 china   shanghai

u2      10000.0 china   beijing

u8      9000.0  china   shanghai

u4      9000.0  china   beijing

u7      8000.0  china   shanghai

u3      8000.0  china   beijing

Time taken: 32.337 seconds, Fetched: 8 row(s)

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