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这篇文章将为大家详细讲解有关Hive基础操作的示例代码,小编觉得挺实用的,因此分享给大家做个参考,希望大家阅读完这篇文章后可以有所收获。
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1.在hive的服务端新建源数据
[root@hadoop5 ~]# cat hivedata 1,xiaoming,read-tv-code,beijing:chaoyang-shanghai:pudong 2,lisi,cook-game,chongqing:yongchun-sichuan:yibing 3,zhangsan,shop-eat,shanghai:xujiahui
2.创建内部表
create table test1 (id int,name string,likes array,address map ) row format delimited fields terminated by ',' collection items terminated by '-' map keys terminated by ':';
3.将数据导入hive
load data local inpath '/root/hivedata' into table test1;
0: jdbc:hive2://hadoop5:10000> select * from test1; +-----------+-------------+-----------------------+----------------------------------------------+ | test1.id | test1.name | test1.likes | test1.address | +-----------+-------------+-----------------------+----------------------------------------------+ | 1 | xiaoming | ["read","tv","code"] | {"beijing":"chaoyang","shanghai":"pudong"} | | 2 | lisi | ["cook","game"] | {"chongqing":"yongchun","sichuan":"yibing"} | | 3 | zhangsan | ["shop","eat"] | {"shanghai":"xujiahui"} | +-----------+-------------+-----------------------+----------------------------------------------+ 3 rows selected (0.207 seconds) 0: jdbc:hive2://hadoop5:10000>
4.创建外部表(在hive中删除后,hdfs上数据不会删除)
create external table test2 (id int,name string,likes array,address map ) row format delimited fields terminated by ',' collection items terminated by '-' map keys terminated by ':' location '/user/test2';
5.以test1的部分列为模板创建test3
create table test3 as select id, name from test1;
0: jdbc:hive2://hadoop5:10000> desc test3; +-----------+------------+----------+ | col_name | data_type | comment | +-----------+------------+----------+ | id | int | | | name | string | | +-----------+------------+----------+ 2 rows selected (0.406 seconds) 0: jdbc:hive2://hadoop5:10000>
6.参照test1创建test4
create table test4 like test1;
7.创建分区表
create table test5 (id int,name string,likes array,address map ) partitioned by (sex string) row format delimited fields terminated by ',' collection items terminated by '-' map keys terminated by ':';
0: jdbc:hive2://hadoop5:10000> desc test5; +--------------------------+-----------------------+-----------------------+ | col_name | data_type | comment | +--------------------------+-----------------------+-----------------------+ | id | int | | | name | string | | | likes | array| | | address | map | | | sex | string | | | | NULL | NULL | | # Partition Information | NULL | NULL | | # col_name | data_type | comment | | | NULL | NULL | | sex | string | | +--------------------------+-----------------------+-----------------------+ 10 rows selected (0.382 seconds) 0: jdbc:hive2://hadoop5:10000>
8.为该分区添加加载数据
load data local inpath '/root/hivedata' into table test5 partition (sex='boy');
0: jdbc:hive2://hadoop5:10000> select * from test5; +-----------+-------------+-----------------------+----------------------------------------------+------------+ | test5.id | test5.name | test5.likes | test5.address | test5.sex | +-----------+-------------+-----------------------+----------------------------------------------+------------+ | 1 | xiaoming | ["read","tv","code"] | {"beijing":"chaoyang","shanghai":"pudong"} | boy | | 2 | lisi | ["cook","game"] | {"chongqing":"yongchun","sichuan":"yibing"} | boy | | 3 | zhangsan | ["shop","eat"] | {"shanghai":"xujiahui"} | boy | +-----------+-------------+-----------------------+----------------------------------------------+------------+ 3 rows selected (0.784 seconds) 0: jdbc:hive2://hadoop5:10000>
9.为test5添加一个sex=girl的分区
alter table test5 add partition (sex='girl');
10.删除一个分区
alter table test5 drop partition (sex='girl');
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